Global Change Observation Mission Water（GCOM-W1）

AMSR2 Higher Level Product Format Specification

This document is specification of AMSR2 Higher Level product file format. AMSR2 Higher Level product consists of two levels ,level 2 and level 3. This document consists of twoparts, level 2 product file and level 3 product file as below.
・ AMSR2 level 2 product file format specification
・ AMSR2 level 3 product file format specificationAMSR2 Level 2 product format specification

Change record
Issue

Date

Sheet

NC

2013/05

－

－

Rev.A

2013/12－The scale factor of PRC was modified from 0.1 to 0.01.
Add notes for the two-layer structure of SND.

Rev.B

2015/03－

Add notes for the two-layer structure of SST (addition of
10GHz SST).

Rev.C

2015/06－

Pixel Data Quality Flag was modified.

Rev. D2016/073-9

Add information about SWE (Scale factor / Units)

Rev. E2017/01

3-10

Table 3.2-3The scale factor of PRC was modified from 0.1 to 0.01.

Rev. F

2020/03

3-9,10

Table 3.2-2～Table 3.2-3 (*1)
Add description about product compression.

Rev. G

2020/10

Rev. H

Description of change

The following items were updated, since the third layer wasadded to the standard sea surface temperature productaccording to the version-upgrade of higher-level product.
3-9
4-14
4-15

- Added the description of Table 3.2-2 (Low resolution).
- Updated the Table 4.2-5.
- Added the Table 4.2-6.

4-14
4-15
4-16

According to the version-upgrade of higher-level product, thefollowing tables were updated.
- Updated the Table 4.2-5.
- Added the Table 4.2-6.
- Updated the Table 4.2-7.

2022/7

-Content1 Introduction ................................................................................................................................ 1-1
1.1 Purpose ................................................................................................................................ 1-1
1.2 Overview .............................................................................................................................. 1-1
2 Applicable and reference documents ........................................................................................... 2-1
2.1 Applicable documents .......................................................................................................... 2-1
2.2 Reference documents ............................................................................................................ 2-1
3 Product description ..................................................................................................................... 3-1
3.1 Structure of product file ........................................................................................................ 3-1
3.2 Structure of data ................................................................................................................... 3-2
3.3 Architecture of data ............................................................................................................ 3-11
3.4 Special instruction .............................................................................................................. 3-17
3.4.1 Product file name ......................................................................................................... 3-17
3.4.2 Coordinate system ........................................................................................................ 3-17
3.4.3 Scaling factor ............................................................................................................... 3-17
3.4.4 Dummy data ................................................................................................................. 3-17
4 Description of data ...................................................................................................................... 4-1
4.1 Product metadata (Attribute) ................................................................................................. 4-1
4.2 Dataset (Low resolution) .................................................................................................... 4-11
4.3 Dataset (High resolution) .................................................................................................... 4-18i

1Introduction
1.1 Purpose
This format specification describes the format of AMSR2 level 2 product file which is produced at

Japan Aerospace Exploration Agency (JAXA). This document describes the structure and contents of
AMSR2 level 2 product file.
1.2 Overview
AMSR2 level 2 product stores the Geophysical quantity for water and quality data.

1-1

2
2.1

Applicable and reference documents
Applicable documents
・ EIS granule ID prescription（NEB-060005B）

2.2

Reference documents
・ AMSR-E Data Users Handbook(NCX-030021)
・ AMSR-E Level 1 product format description（NEB-00011F）
・ AMSR-E Level 2 format description (NDX-000272C)・ AMSR-E Level 2 Map format description (NDX-000273D)
・ AMSR-E Level 3 format description (NDX-000274B)

2-1

3

Product description
AMSR2 Level 2 product stores the Geophysical quantity from the brightness temperature of level 1

product file and the geometric information as HDF5. The features of the product are shown as below.
3.1 Structure of product file
Table 3.1-1 shows the AMSR2 Level 2 product structure.

Table 3.1-1 AMSR2 Level 2 product file structure
Structure
HeaderHDF Data

Product Metadata

Attribute

Data

DatasetContent
Describe unique information of the product data.
(Sensor
specification,
Engineeringvalue
coefficients…etc)
The stored data is shown as below.
・Scanning time・ Geophysical quantity
・Latitude/Longitude
・Quality information

3-1

3.2 Structure of data
Fig. 3.2-1 AMSR2 level 2 product data structure [Low resolution] and Fig. 3.2-2 AMSR2 level 2
product data structure [High resolution] shows structure of AMSR2 level 2 product data. Table 3.1-1
AMSR2 Level 2 product file structure shows data set specification of level 2 product data. In thisregard, data size and number of records are values in case of standard operation.

Level 2 ProductProduct Metadata(Header)(Data)

Scan

Scan

Scan Time

Position in Orbit

in the scanin the scanin the scan

Scan

Scan

Scan

Geophysical Data

Latitude of Observation
Point

Longitude of Observation
Point

in the scan

(Data)

Scan

Pixel Data Quality

Fig. 3.2-1 AMSR2 level 2 product data structure [Low resolution]

3-2

Level 2 ProductProduct Metadata(Header)(Data)

Scan

Scan

Position in Orbit

Scan Timein the scanin the scan

Scan

Scan

Geophysical Data
89B

Geophysical Data
89A
in the scan

Scan

in the scan

Scan

in the scanin the scan

Scan

Latitude of Observation Longitude of Observation Latitude of Observation
Point for 89B
Point for 89A
Point for 89A

ScanLongitude of Observation
Point for 89B

in the scanin the scan

Scan

Scan

Pixel Data Quality
89A

Pixel Data Quality
89B

Fig. 3.2-2 AMSR2 level 2 product data structure [High resolution]

3-3

Table 3.2-1 Product metadata items
No

MetaDataName

Data Size
(Max)

Explanation

3-4

1

ProductName

12

Abbreviated name2

GeophysicalName

36

Geophysical quantity name3

ProductVersion

1

Product version

4

AlgorithmVersion

3

Algorithm version

5

ParameterVersion

3

Parameter version

6

ProductSize_MByte

8

Product size(MByte)

7

GranuleID64

Granule ID

8

Operation

22

Product type

Example or Range[XXXXXXXXXXXX]AMSR2-L2[XXXXXXXXXXXX]
Total Precipitable Water
Cloud Liquid Water
Precipitation
Sea Surface Temperature
Sea Surface Wind speed
Sea Ice Concentration
Snow Depth
Soil Moisture Content
[X]
0～Z
[XXX]
000～999[XXX]
000～999[XXXXX．X]（x1024x1024byte）
0．0～99999．9[XXXXXXXXXXX][XXXXXXXXXXX]Standard : Standard operation
NearRealTime(Global) : Near Real Time operation(Global area)
NearRealTime(local) : Near Real Time operation (Local
area)

Fixed/Variable
VariableFixed

Variable
Variable
Variable
Variable
Variable

Variable

No

9

MetaDataName

ProductionDateTime

Data Size
(Max)

24

Explanation

Product generate time and date(UTC)

ObservationStartDateTime

25

Start time and date of observation
data（UTC）

11

ObservationEndDateTime

25

End time and date of observation
data（UTC）

12

GringPointLatitude

80

Latitude of data effective range

13

GringPointLongitude

80

Longitude of data effective range

14

PGEName20

Data processing software name15

InputFileName

128

Input file name(Level1 data file name)

3-5

10

Example or Range[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)Ex.) 83.71,73.23,34.10,-25.31,-84.97,-73.60,-23.13,36.52
See the section 4.2 for more information
Ex.)
152.28,91.82,-10.34,-24.72,-39.30,-105.73,-40.70,-27.99
See the section 4.2 for more information[XXXXXXXXXXXX]XXXXXXXXXXXX : Strings
Ex.)
R1540402SGS0221003170100.L0D,
R1540402SGS0221005320100.L0D

Fixed/Variable

Variable

Variable

Variable

Variable
VariableFixed
Variable

No

MetaDataName

Data Size
(Max)

Explanation

3-6

16

ProcessingCenter

12

Data processing center

17

ContactOrganizationName

300

Contact organization name18

ContactOrganizationTelephone

16

Contact telephone number

19

StartOrbitNumber

6

Start orbit number

20

StopOrbitNumber

6

End orbit number

21

EquatorCrossingLongitude

8

Longitude at the time of equatorial
passage

22

EquatorCrossingDateTime

25

Time and date of equatorial passage
（UTC）

23

OrbitDirection

11

Orbit direction

24

PassNumber

4

Pass number of observation start
point

25

OrbitDataFileName

128

Support orbit file name26

EphemerisMissingDataRate

5

Missing rate of orbit data

27

AttitudeMissingDataRate

5

Missing rate of attitude data

Example or Range[XXXXXXXXXXXX]XXXXXXXXXXXX : Strings[XXXXXXXXXXXX]XXXXXXXXXXXX : Strings[+050-0000-0000]
Strings[XXXXX]
0～99999[XXXXX]
0～99999[XXXX.XX]-180.00～180.00[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)[XXXXXXXXX]
Ascending
Descending
[XXX]
0～999
[XXXXX]
Strings
It may be blank, when the process didn’t use this file.
[XXXXX]
Good
Fair
NG
[XXXXX]
Good
Fair
NG

Fixed/Variable
Fixed
Fixed
Fixed
Variable
Variable
Variable

Variable

Variable
Variable
Variable

Variable

Variable

No

MetaDataName

Data Size
(Max)

Explanation

3-7

28

OrbitDataType8

orbit data type29

PlatformShortName

8

Platform name30

SensorShortName

8

Sensor names

31

NumberOfScans

6

Number of scan32

NumberOfMissingScans

8

Number of missing scans

33

AntennaRotationVelocity

4

Velocity of antenna rotation（30～40rpm）

34

ECSDataModel

8

Meta data model name35

NumberOfPackets

8

Number of level 0 packets

36

NumberOfInputFiles

2

Number of input level 0 files

37

NumberMissingPackets

9

Number of missing packets

38

NumberOfGoodPackets

9

Number of packets

39

OverlapScans

3

Number of overlap scans(One side）

40

QALocationOfPacketDiscontinuity

16

41

EphemerisQA

3

Ephemeris limit check

42

AutomaticQAFlag

5

Limit check by software

43

ScienceQualityFlag

8

44

ScienceQualityFlagExplanation

512

Continuity of Packet Sequence
Counter

Quality flag of calculating
geophysical quantity
Explanation of

Example or Range[XXXXXXXX]ONBOARD:On board data
ELMD：Defined orbit data
ELMP：Forecast orbit data
[XXXXXXXX]
GCOM-W1[XXXXXXXX]AMSR2[XXXXX]
0～99999[XXXXX]
0～99999[XX.X]
30.0～40.0[B.0]
String
Blank
[X]
0～9
[XXXXX]
0～99999999[XXXXX]
0～99999999
20[XXXXXXXXXXXXXXXX]Continuation
Discontinuation
[XX]
OK
NG
[XX]
Good
Fair
NG
Blank
* Blank in the Level 1 product
Blank

Fixed/Variable

Variable

Fixed
Fixed
Variable
Variable
Variable
Fixed
Fixed
Variable
Variable
VariableFixed
Variable
Variable

Variable
Fixed
Fixed

No

MetaDataName

Data Size
(Max)

Explanation“ScienceQualityFlag”

3-8

45

AutomaticQAFlagExplanation

512

Explanation of limit check bysoftware46

QAPercentMissingData

7

Number of missing data

47

QAPercentOutofBoundsData

8

Percentage of out of bound data(%)

48

QAPercentParityErrorData

8

Percentage of parity error data

49

ProcessingQADescription

12

Description of the processing error

50

ProcessingQAAttribute

128

The attribute name which isabnormal by QA metadata

51

GlobalMeteorologicalDataType

8

Used meteorological data

52

AncillaryDataInformation

256

Information of ancillary data
(Used data in Level 2 process)

Example or Range

Fixed/Variable* Blank in the Level 1 product1.MissingScanQA:Less than 21 is available->OK,
2.MissingDataQA:Less than 321 is available->OK,
3.AntennaRotationQA:Less than 21 is available->OK,
4.HotCalibrationSourceQA:Less than 21 isavailable->OK,
5.AttitudeDataQA:Less than 21 is available->OK,
6.EphemerisDataQA:Less than 21 is available->OK,
7.QualityofGeometricInformationQA:Less than 1 isavailable->OK,
8.BrightnessTemperatureQA:Less than 21 isavailable->OK[XXX.XX]
0～100,-9999
[XXX]
0～100
[XXX.XX]
0～100,-32768[XXXXXXXXXXXXXXXX]
Strings[XXXXXXXXXXXXXXXX]
Strings[XXX]
Analysis : Process didn't use Analysis meteorological
data
Forecast : Process didn't use Forecast meteorological data
None
: Process didn't use meteorological data
* Blank in the Level 1 product[XXXXXX]
Strings* Blank in the Level 1 product

Variable

Variable
Variable
Variable
Variable
Variable

Variable

VariableTable 3.2-2 Data set list (Low resolution)
No.

Data

Samples

Bytes/
SampleType

Bytes/
RecordRecords

4,400

1

Sum(bytes)

Scale factor

Units

4,400

-

-

1

ProductMeta Data

44

100

-

2

Scan Time1

8

double8

1,97815,824

1Sec

3

Position in Orbit

18double8

1,97815,824

1

TPW:kg/m2
CLW:kg/m2
SSW:m/s
SST:℃
SND: cm
SMC: %
SIC: %

3-9

4

Geophysical Data243

2signed int

486

1,978

961,308

0.01
0.001
0.01
0.01
0.1
0.1
0.1

5

Latitude of Observation Point

243

4

float

972

1,978

1,922,616

1

deg

6

Longitude of Observation Point

243

4

float

972

1,978

1,922,616

1

deg

7

Pixel Data Quality

243

1

unsigned char

243

1,978

480,654--

Total(Bytes)

5,323,242

Total(MB)5.08 (*1)*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.
*Geophysical Data of SST has the three-layer structure. Primary SST observed by 6GHz is stored in the first layer. SST observed by 10GHz, which has higher spatial resolution than the primary SST (more pixels are available
in coastal area), is stored in the second layer. Sea surface temperature synthesized by three frequencies (6.9GHz/7.3GHz/10GHz) (for research) is stored in the third layer. So, the data size is also tripled.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 50% to 70% of uncompressed.

Table 3.2-3 Data set list (High resolution)

No.

Data

Sumples

Bytes/
SampleType

1

ProductMeta Data

44

100

-

2

Scan Time1

8

double3

Position in Orbit

1

8

4

Geophysical Data for 89A

486

2

5

Geophysical Data for 89B

486

2

6

Latitude of Observation Point for 89A

486

7

Longitude of Observation Point for 89A

8

Latitude of Observation Point for 89B

Bytes/
RecordRecords

Sum(bytes)

Scale factor

Units

4,400

1

4,400

-

-

8

1,978

15,8241Secdouble8

1,97815,8241-signed int

972

1,978

1,922,616

signed int

972

1,978

1,922,6160.01

PRC:mm/h

4

float

1,944

1,978

3,845,232

1

deg

486

4

float

1,944

1,978

3,845,232

1

deg

486

4

float

1,944

1,978

3,845,232

1

deg

3-10

9

Longitude of Observation Point for 89B

486

4

float

1,944

1,978

3,845,232

1

deg

10

Pixel Data Quality for 89A

486

1

unsigned char

486

1,978

961,308--

11

Pixel Data Quality for 89B

486

1

unsigned char

486

1,978

961,308--

Total(Bytes)

21,184,824

Total(MB)20.20 (*1)(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 60% of unc
ompressed.

Architecture of data(0, 0)(242, 0)The 243rd observation point

The second observation point

2 byte

The first observation point

Scan No.1

Scan No.1978(nominal)(242, 1977)(0, 1977)

In case of the product has 1
Geophysical Data.

3rd Data (0, 0, 2[max])
2nd Data
1st Data(0, 0, 0)
2 byte(242, 0, 2[max])(242, 0, 0)

The 243rd observation point

The second observation point

The first observation point

3.3(242, 1977, 2[max])(242, 1977, 0)(0, 1977, 0)

In case of the product has someGeophysical Data.

*The stored order of the data can different from this figure,it depends on output by tools or libraries .

Fig. 3.3-1 Structure of Geophysical Data (Low resolution)

3-11

(0, 0)
4 byte(242, 0)The 243rd observation point

The second observation point

The first observation point

Scan No.1

Scan No.1978(nominal)(242, 1977)(0, 1977)

Latitude of Observation PointLongitude of Observation Point(Latitude and Longitude have the same structure.)

Fig. 3.3-2 Structure of Latitude and Longitude. of the observation point (Lowresolution)

3-12

(242, 0)(0, 0)The 243rd observation point

The second observation point

1 byte

The first observation point

Scan No.1

Scan No.1978(nominal)(242, 1977)(0, 1977)

In case of the product has 1
Geophysical Data.

(242, 0, 2[max])(242, 0, 0)

The 243rd observation point

The second observation point

The first observation point

3rd Data (0, 0, 2[max])
2nd Data
1st Data(0, 0, 0) 1 byte

(242, 1977, 2[max])(242, 1977, 0)(0, 1977, 0)

In case of the product has someGeophysical Data.

*The stored order of the data can different from this figure,it depends on output by tools or libraries .

Fig. 3.3-3 Structure of Pixel Data Quality (Low resolution)

3-13

(0, 0)
2 byte(485, 0)The 486th observation point

The second observation point

The first observation point

Scan No.1

Scan No.1978(nominal)(485, 1977)(0, 1977)

Geophysical Data for 89A (In case of the product has 1
Geophysical Data.)(89B have the same structure)(485, 0, 2[max])(485, 0, 0)

The 486th observation point

The second observation point

The first observation point

3rd Data (0, 0, 2[max])
2nd Data
1st Data(0, 0, 0)
2 byte(485, 1977, 2[max])(485, 1977, 0)(0, 1977, 0)

Geophysical Data for 89A(In case of the product has some Geophysical Data.)(89B have the same structure)*The stored order of the data can different from this figure,it depends on output by tools or libraries .

Fig. 3.3-4 Structure of Geophysical Data (High resolution)

3-14

(0, 0)
4 byte(485, 0)The 486th observation point

The second observation point

The first observation point

Scan No.1

Scan No.1978(nominal)(485, 1977)(0, 1977)

Latitude of Observation Point for 89ALongitude of Observation Point for 89A(Latitude and Longitude have the same structure.)(89B have the same structure)

Fig. 3.3-5 Structure of Latitude and Longitude of Observation Point (Highresolution)

3-15

(0, 0)
1 byte(485, 0)The 486th observation point

The second observation point

The first observation point

Scan No.1

Scan No.1978(485, 1977)(0, 1977)

Pixel Data Quality for 89A(In case of the product has 1 Geophysical Data.)(89B have the same structure)

3rd Data (0, 0, 2[max])
2nd Data
1st Data(0, 0, 0)
1 byte(485, 0, 2[max])(485, 0, 0)

The 486th observation point

The second observation point

The first observation point(nominal)(485, 1977, 2[max])(485, 1977, 0)(0, 1977, 0)

Pixel Data Quality for 89A(In case of the product has some Geophysical Data.)(89B have the same structure)*The stored order of the data can different from this figure,it depends on output by tools or libraries .

Fig. 3.3-6 Structure of Pixel Data Quality

3-16

3.4

Special instruction

3.4.1

Product file nameAMSR2 level 2 product file follows the file naming convention in below. Granule ID is stated byreference documents.
File name = Granule ID + extension [.h5]Scene ID_Product ID
Byte Location 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41
AMSR2
G W 1 A M 2 _ Y Y Y Y M M D D H H m m _ P P P X _ L L x x K K K ! " # a a a p p p
Scene ID

$Exp.% G W 1 A M 2

_

2

0

1

1

1

1

Product ID

1

3

2

3

4

5

_

0

1

2 D _ L 1 D L A D N R _

1

1

0

1 0 0 1

Scene ID
[Satellite] [Sensor] [Observation Start Time] [Pass Number] [Orbit Direction]
Satellite: GW1（Fixed Value）
Sensor: AM2（Fixed Value）
Observation Start Time : YYYYMMDDHHmm（UTC）
Pass Number: PPP（000～300）*Observation Start point
Orbit Direction: X (A：Ascending, D：Descending）
Product ID[Process Level] [Process Kind] [Product ID] [Resolution] [Developer ID] [Product version] [Algorithm version] [Parameter version]
Process Level: LL（L1 : Level 1, L2 : Level 2）
Process Kind
: xx （SG : Standard operation product, SN : Near real time operation product (Global), SL : Near real time operation product(Local),
RG : Research standard operation product, RN : Research Near real time operation product (Global),
RL : Research Near real time operation product (Local), DL : For the Direct recieving station (Local area)）
Product ID: KKK（<L1A> ADN : Digital Number, <L1B> BTB：Brightness Temperature, <L1R> RTB：Brightness Temperature,＜L2＞ CLW : Cloud Liquid Water, TPW : Total Precipitable Water, PRC : Precipitation,
SST : Sea Surface Temperature, SSW : Sea Surface Wind speed, SIC : Sea Ice Concentration,
SND : Snow Depth, SMC : Soil Moisture Content）
Resolution: r（<L1> R : Raw（Fixed Value）, ＜L2＞ L: Low [243 pixels], H : High[486 pixels]）
Developer ID: d（<L1> _ : underscore（Fixed Value）, ＜L2＞ : A～Z）
Product version : v（0～9, a～z）
Algorithm version : aaa（000～999）

3.4.2

Coordinate systemAMSR2 level 2 product stores the observation position (latitude, longitude) and the orbit

information of satellite. The observation positions are expressed in Greenwich coordinate system(Earth Fixed Coordinate). The range of the east longitude is from 0 to 180 degrees and the range of
the west longitude is from 0 to -180 degrees. Similarly, the range of the north latitude is from 0 to 90
degrees, the range of the south latitude is from 0 to -90 degrees. Earth model of WGS84 is adopted
for geometric calculation. The orbit information is stored as WGS84 earth fixed coordinate system.

3.4.3

Scaling factor
In order to make the data volume small, scaling factors are applied for some floating number in

AMSR2 level 2product. AMSR2 dataset has scaling factor in the HDF5 file. The scaling factor is set
for each dataset and stored with the data unit in the attribute information.

3.4.4

Dummy data
In Level2 processing geophysical quantity data is not estimated when the brightness temperature isabnormal or packet loss or the other reasons. For example, SST is not estimated in the land area
because SST is the geophysical quantity data on the ocean.
Missing value: In case of the input data is missing [-32768]
Error value: In case of the input data is error value or it is out of order target[32761～-32767]
3-17

4

Description of data
This chapter describes each data item in the AMSR2 level 2 product file.

4.1 Product metadata (Attribute)
The following describes each product metadata item in the AMSR2 level 2 product file. Some ofthem are common items with AMSR2 level 1 product.
(1) ProductName
Abbreviated name of the product is stored as below.
[AMSR2-L2]: AMSR2 level 2 process(2) GeophysicalName
The geophysical quantity name is stored as below.
Item
GeophysicalName

Content[Total Precipitable Water][Cloud Liquid Water][Precipitation][Sea Surface Temperature][Sea Surface Wind speed][Sea Ice Concentration][Snow Depth][Soil Moisture Content]

Remarks-(3) ProductVersion
The product version is stored as below.
Item
ProductVersion

Minimum

Maximum

Error value

Unit

0

Ｚ

-

-

Minimum

Maximum

Error value

Unit

000

999

-

-

Minimum

Maximum

Error value

Unit

000

999

-

-

Remarks
single-digit oralpha-numeral(4) AlgorithmVersion
The algorithm version is stored as below.
Item
AlgorithmVersion

Remarks
3-digit numeral(5) ParameterVersion
The parameter version is stored as below.
Item
ParameterVersion

4-1

Remarks
3-digit numeral(6) ProductSize_MByte
The product size is stored as below.
Item
ProductSize_MByte

Minimum

Maximum

Error value

Unit

Remarks

0.0

99999.9-

MByte

Mbyte(×1024×1024byte)(7) GranuleID
The granule ID is stored. Granule ID is unique ID for product file. Please see the section 3.4.1 formore detail.
(8) Operation
The product kind is stored as below.
Standard: Standard operation
NearRealTime (Global): Near Real Time operation (Global area)
NearRealTime (local): Near Real Time operation (Local area)(9) ProductionDateTime
The product creation time and date is stored as below.
Item
ProductionDateTime

Format[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(millisecond)

Remarks
When the leap
second is updated,“ss” may show 60.

(10) ObservationStartDateTime
The start time and date of observation data is stored as below.
Item
ObservationStartTime

Format[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(millisecond)

4-2

Remarks-

(11) ObservationEndDateTime
The end time and date of observation data is stored as below.
Item
ObservationEndTime

Format[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(millisecond)

Remarks-(12) GringPointLatitude, GringPointLongitude
Eight representative points (latitude and longitude) of the outline for the observation are stored.
They are set as a clockwise from the scanning start position, and these positions are observation
points of 89 GHz A-horn. Since the spatial information in a product cannot be expressed as arectangle on the equidistant cylindrical projection map, it is expressed in polygon like "G". The
stored data are delimited by comma [,].

Fig. 4.1-1

The relationship between Gring Pointand data location(13) PGEName
The apprication name is stored.
Item
PGENameContent
Application name4-3

Remarks
Maximum size of character is 20.

(14) InputFileName
The input file names are stored. If there are some input files, the stored data are delimited bycomma [,].
Item
InputFileName

Content
Input File Name

Remarks
Maximum size of character is 128.

(15) ProcessingCenter, ContactOrganizationName, ContactOrganizationTelephone
The information of data processing center is stored.
Item
ProcessingCenter
ContactOrganizationName
ContactOrganizationTelephone

Content
Processing Center
Organization Name
Organization
Telephone number

Remarks
Maximum size of character is 12.
Maximum size of character is 300.
Maximum size of character is 16.

(16) StartOrbitNumber, StopOrbitNumber
The orbit numbers at the observation start and end point in the product file are stored. The orbit
number shows total orbit number. This number means integrated value from the GCOM-W1 satellite
launch.
Item

Content

Minimum

Maximum

Unit

Remarks

99999

Error
value
-9999

StartOrbitNumber

Start orbit number

0

-

99999

-9999

-

Under 5 digit
numberUnder 5 digit
numberStopOrbitNumber

End orbit number

0(17) EquatorCrossingLongitude, EquatorCrossingDateTime
The equator crossing longitude, date and time (UTC) are stored. However, if the satellite does notpass through an equator (like near real time product or short product by the lack of observation data),
it is filled with blank.
Item

Content

Minimum

Maximum

EquatorCrossing
Longitude

The equatorcrossing
longitude-180.00

180.00Item
EquatorCrossing
DateTime

Content
The equatorcrossing time

Format[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)

4-4

Error
value
-9999.0

Unit

Remarks-

The longitude at thefirst crossing equatoris stored in case of
near
real
time
operation.
Remarks
The time at the firstcrossing equator isstored in case of nearreal time operation.

(18) OrbitDirection
The orbit direction at the observation start point is stored.
Item
OrbitDirection

Content
Orbit direction

FormatAscending or Descending

Remarks
Maximum size of character is 11.

(19) PassNumber
The pass number at the observation start point is stored.
Item
PassNumber

Content

Minimum

Maximum

Pass number

0

233

Error
value
-99

Unit

Remarks-

Under 3 digit number(20) OrbitDataFileName
If the L1 process used supplemental orbit data file, the orbit file name would be stored. If there aresome input files, it would be stored with comma-delimited.
Item
OrbitDataFileName

Content
Supplemental
orbit data filenameFormat-Remarks
Maximum size ofcharacter is 128.

(21) EphemerisMissingDataRate, AttitudeMissingDataRate
The rate of lack with orbit data and attitude data are stored.
Item
EphemerisMissingDataRate

Content
The rate of lack with orbit data

AttitudeMissingDataRate

The rate of lack with attitude data

Format[Good][Fair][NG]

Remarks
Maximum size ofcharacter is 5.

(22) OrbitDataType
The orbit data type used in L1 process is stored.
Item
OrbitDataTypeContent
Orbit data type

Format[ONBOARD]：On board data
[ELMD]：Fixed orbit data
[ELMP]：Predicted orbit data
[NOMINAL]：Nominal orbit data

Remarks
Maximum size ofcharacter is 8.

(23) PlatformShortName, SensorShortName
The satellite name [GCOM-W1] and sensor name [AMSR2] are stored.
(24) NumberOfScans, NumberOfMissingScans
The number of scans and lack of scans in product file are stored. “NumberOfScans” doesn’t include
overlap scans. So you need to calculate sum of scans in product files as below.
Sum of scans in product files＝OverlapScans×2+ NumberOfScans

4-5

Item
NumberOfScans
NumberOfMissingScans

Content

Minimum

Maximum

Number ofscans
Number oflack scans

0

99999

Error
value
-9999

Unit

Remarks-

Under 5 digit
number

Error
value
-999

Unit

Remarksrpm-(25) AntennaRotationVelocity
The observed rotating velocity of the AMSR2 antenna is stored.
Item

Content

Minimum

AntennaRotation
Velocity

Rotating velocity of
the AMSR2 antenna

30.0

Maximum
40.0(26) ECSDataModel
The metadata model name is stored.
Item
MetaDataModel

Content
Metadata
model nameFormat[B.0]

Remarks
Maximum size ofcharacter is 8.

(27) NumberOfPackets
The number of packets is stored. But it is difficult to estimate correct value, so it is always set
blank.
(28) NumberOfInputFiles
The number of input L0 files is stored. It is corresponding to the number of L0 files described to“(14) InputFileName”.
Item

Content

Minimum

Maximum

NumberOfInputFiles

Number of
input L0
files

0

9

Error
value
-

Unit

Remarks-

1 digit number
It is stored blank incase of near real time
operation.

(29) NumberMissingPackets, NumberOfGoodPackets
The number of the lack packets and number of packets in the product file are stored.
Item

Content

Minimum

Maximum

NumberMissingPackets

Numberof lack
packets
Numberof packets

099999999

NumberOfGoodPackets

4-6

Error
value
-9999999

Unit

Remarks-

Under 8 digit
number(30) OverlapScans
The number of one side overlap scans is stored.
Item
OverlapScans

Content
Number of one side overlap scans

Number0

Remarks
One side value(31) QALocationOfPacketDiscontinuity
The consecutiveness of “Packet Sequence Counter” is stored.
Item
QALocationOfPacket
Discontinuity

Content
The consecutiveness of“Packet Sequence Counter”

Format“Continuation”“Discontinuation”

Remarks
Maximum size ofcharacter is 16.

(32) EphemerisQA
The quality of satellite orbit and attitude data checked by software is stored. The quality inspection
result becomes NG, when either number of following limit check errors exceeds 20 % of the data.
And it becomes OK in other cases. The calculating with limit check is shown as below.
Check the satellite orbit data

LowerLimit ≦ R ≦UpperLimit
R = X 2 +Y 2 + Z 2
Check the satellite attitude data

LowerLimit ≦ Roll , Pitch, Yaw ≦UpperLimit
Check the satellite velocity data

LowerLimit ≦ V ≦ UpperLimit22

V = Vx + V y + Vz
Item
EphemerisQA

2

Content
Ephemeris check

Format[OK][NG]

Remarks
Maximum size ofcharacter is 2.

(33) AutomaticQAFlag
The automatic inspection result of data processing is stored. The items of the automatic inspections
are shown in the attribute “AutomaticQAFlagExplanation”. And the following value is stored.
Good

When all check items are in the state of ‘OK’.

Fair

When some check items are in the state of ‘NG’.

NG

When all check items are in the state of ‘NG’.

Item
AutomaticQAFlag

Content
The result checked bysoftware.

Format
Good
Fair
NG

4-7

Remarks
Maximum size ofcharacter is 4.

(34) ScienceQualityFlag
The quality flag is stored when the L2 process calculates geophysical data. It is stored blank for theL1 product file.
Item
ScienceQualityFlag

Content
The quality flag ofgeophysical data

FormatStrings

Remarks
Maximum size ofcharacter is 8.

(35) ScienceQualityFlagExplanation
The explanation of ScienceQualityFlag is stored. It is stored blank for the L1 product file.
Item
ScienceQualityFlag
Explanation

Content
The explanation of
ScienceQualityFlag

FormatStrings

Remarks
Maximum size ofcharacter is 512.

FormatSee example below

Remarks
Maximum size ofcharacter is 512.

(36) AutomaticQAFlagExplanation
The result checked by software automatically is stored.
Item
AutomaticQAFlag
Explanation

Content
The result checked bysoftware＜AutomaticQAFlagExplanation の例＞
1.MissingDataQA:Less than 20 is available->OK,
2.MissingPacketQA:Less than 20 is available->OK,
3.AntennaRotationQA:Less than 20 is available->OK,
4.HotCalibrationSourceQA:Less than 20 is available->OK,
5.AttitudeDataQA:Less than 20 is available->OK,
6.EphemerisDataQA:Less than 20 is available->OK,
7.QualityofGeometricInformationQA:Less than 0 is available->OK,
8.BrightnessTemperatureQA:Less than 20 is available->OK,
All items are OK, 'PASS' is employed(37) QAPercentMissingData
The rate of lack scan data is stored.
Item

Content

Minimum

Maximum

QAPercentMissingData

The lack of
data

0

100

4-8

Error
value
-99

Unit

Remarks％

Under 3 digit
number(38) QAPercentOutofBoundsData
The percentage of the limit error to all data is stored. It is judged as error when the antenna
temperature and brightness temperature exceed the limit value.
* In the level 1A product, since brightness temperature conversion is not executed, it is filled with 0.
* In the level 1B, 1R product, abnormal brightness temperature is stored as negative value.
Item

Content

Minimum

Maximum

QAPercentOutofBoundsData

The
percentageof the limit
error

0

100

Error
value
negative
value

Unit

Remarks-

Under 3 digit
number(39) QAPercentParityErrorData
The percentage of parity error data is stored. It is judged as error whether the parity error flag exists
in the raw observation data.
* When the observation data has parity error, -32768 is stored in the level 1B product.

Fig. 4.1-2 Format of the raw observation data
Item

Content

Minimum

Maximum

QAPercentParityErrorData

The
percentageof theparity error

0

100

Error
value
-32768Unit

Remarks-

Under 6 digit
number(40) ProcessingQADescription
The error message generated by data-processing software is stored. "PROC_COMP" is stored whenprocessing software is completed normally.

4-9

Item
ProcessingQADescription

Content
The error
information in theprocess error

Format[PROC_COMP][*********]

Remarks
Maximum size ofcharacter is 12.

(41) ProcessingQAAttribute
As the quality information of the processed data, the item name corresponding to the following
standard of the anomaly judgment is stored.
Item
NumberofMissingPackets
EphemerisQA
QAPercentMissingData
QAPercentOutofBoundsData
QAPercentParityErrorData

Item
ProcessingQAAttributeContent
The attribute nameof QA metadata inwhich occurred

Error criteria
In case of the lack of more than packet
In case of NG
In case of more than 1%
In case of more than 1%
In case of more than 1%

Format[NumberofMissingPackets][EphemerisQA][QAPercentMissingData][QAPercentOutofBoundsData][QAPercentParityErrorData]

Remarks
Maximum size ofcharacter is 128.

(42) GlobalMeteorologicalDataType
The meteorological data type used in L2process is stored. It is stored blank for the L1 product file.
Item
GlobalMeteorologicalType

Content
The meteorological
data type used in
L2processFormat[XXX]
Analysis : Analyzed
meteorological data
Forecast : Predicted
meteorological data
None : None use

Remarks
Maximum size
character is 8of.* It is stored blank in
the L1 product.

(43) AncillaryDataInformation
The ancillary data used in L2process is stored. It is stored blank for the L1 product file.
Item
Ancillary
Data
Information

Content
The ancillary data
used in L2process

Format[XXXXXXXX]

Remarks
Maximum size
character is 512

of.* It is stored blank in
the L1 product.

4-10

4.2 Dataset (Low resolution)(1) Scan Time
The observation start time of 89GHz A-horn in every scan is stored. This time is a total second(TAI) from 0:00 (UTC) on January 1st, 1993.
(2) Position in Orbit
The satellite position on the orbit is stored. The position of a satellite consists of an orbit number
and a position from the ascending node. This is expressed in the following formula.
Postion_in_Orbit = Total orbit number + Satellite position
Satellite position = (Scan_Time – Ascending node passage time ) / ( 98.9 * 60 )Item
Position in Orbit

Minimum
0.0

Maximum
99999.9999

Error value-9999.0

Unit-

Remarks-(3) Geophysical Data
The geophysical quantity data processed by Level 2 algorithm is stored.
Item
Geophysical Datageophysicalquantity
Total
Precipitable
Water
Cloud
LiquidWater
Sea
SurfaceWind speed
Sea
SurfaceTemperature
Sea
Ice
Concentration
Snow Depth
Soil
Moisture
Content

Minimum

Maximum

Error value

Unit

Remarkskg/m2-

327.67-32761-32768～-327.60-32.7632.77-32761-32768

～

kg/m2

-

-327.60

327.67～m/s--327.60

327.67～℃--3276.00

3276.70～%--3276.00

3276.70-32761-32768-32761-32768-32761-32768-32761-32768～cm-3276.00

3276.70-32761-32768～%

Includingsnowwater *1-

*1
Snow water equivalent (second layer) = SND (the first layer) * coefficient (Climate value of the density)(For more detail information, refer to the algorithm Specification)

4-11

(4) Latitude of Observation Point
The latitude of the observation point on the earth surface at the odd number point of 89.0A horn isstored. (1 origin)- 90° < latitude £ 90°
Item
Latitude ofObservation
Point
for
89A

Minimum-90.00Maximum
90.00

Error value-9999.0

Unit
deg

Remarks
Negative value
south latitude.
Positive value
north latitude.

shows
shows

(5) Longitude of Observation Point
The longitude of the observation point on the earth surface at the odd number point of 89.0A horn isstored. (1 origin)- 180° < longitude £ 180°
Item
Longitude of Observation
Point for 89A

Minimum-180.00

Maximum
180.00Error value-9999.0(6) Pixel Data Quality
The quality flag is stored for each observation point.

4-12

Unit
deg

Remarks
Negative value shows
west longitude.
Positive value shows east
longitude.

Table 4.2-1 Pixel Data Quality of TPW
No

Status

01
02
03
04

Clear sky
CloudLight rain
Heavy rain
Abnormal calculation of
TPW
Abnormal calculation ofsea surface emissivity
Invalid retrieval or RFI
Invalid retrieval of sea ice
Invalid L1
Sea iceLand
L1 Land/Ocean Flag Error

05
06
07
08
09
10
11
12

0
0
0
0

bit7～bit4
Error
0
0
0
0
0
0
0
0

0
0
0
0

bit3～bit0
Normal
0
0
0
0
0
1
0
0

0
0
0
1

0

0

1

0

0

0
0
0
0
1
1

1
1
1
1
0
0

0
1
0
0

Unsigned
byte
0
1
2
16

Signed
byte
0
1
2
16

0

0

0

0

0

32

32

1

1

0

0

0

0

48

48

0
0
1
1
0
0

0
1
0
1
0
1

0
0
0
0
0
0

0
0
0
0
0
0

0
0
0
0
0
0

0
0
0
0
0
0

64
80
96
112
128
144

64
80
96
112
-128
-112

0
1
0
1
0

Unsigned
byte
0
1
2
3
16

Signed
byte
0
1
2
3
16

Table 4.2-2 Pixel Data Quality of CLW
No

Status

01
02
03
04
05

Clear sky
CloudLight rain
Negative CLW
Heavy rain
Abnormal calculation of
TPW
Abnormal calculation ofsea surface emissivity
Invalid retrieval or RFI
Invalid retrieval of sea ice
Invalid L1
Sea iceLand
L1 Land/Ocean Flag Error

06
07
08
09
10
11
12
13

0
0
0
0
0

bit7～bit4
Error
0
0
0
0
0
0
0
0
0
0

0
0
0
0
1

0
0
0
0
0

bit3～bit0
Normal
0
0
0
0
0
1
0
1
0
0

0

0

1

0

0

0

0

0

32

32

0

0

1

1

0

0

0

0

48

48

0
0
0
0
1
1

1
1
1
1
0
0

0
0
1
1
0
0

0
1
0
1
0
1

0
0
0
0
0
0

0
0
0
0
0
0

0
0
0
0
0
0

0
0
0
0
0
0

64
80
96
112
128
144

64
80
96
112
-128
-112

0
1
0
0
0

Unsigned
byte
0
1
16
32
48

Signed
byte
0
1
16
32
48

Table 4.2-3 Pixel Data Quality of SMC
No

Status

01
02
03
04
05

Retrieval done
Possible precipitation area
Invalid L1
L1 Land/Ocean Flag Error
Retrieval error

0
0
0
0
0

bit7～bit4
Error
0
0
0
0
0
0
0
1
0
1

0
0
1
0
1

4-13

0
0
0
0
0

bit3～bit0
Normal
0
0
0
0
0
0
0
0
0
0

Table 4.2-4 Pixel Data Quality of PRC
No

Status

01
02
03
04

Ocean
Land
Coast
Latitude is out of range
Regionsoflowtemperatures
Regions of sea ice
TB out of range
Invalid TB (TB missing)
Satellite attitude out of
range
L1 Land/Ocean Flag Error

05
06
07
08
09
10

0
0
0
0

bit7～bit4
Error
0
0
0
0
0
0
0
0

0
0
0
0

bit3～bit0
Normal
0
0
0
0
0
1
0
0

0
0
0
1

0

0

1

0
0
0

0
1
1

0
0

0
1
0
0

Unsigned
byte
0
1
2
16

Signed
byte
0
1
2
16

0

0

0

0

0

32

32

1
0
0

1
0
1

0
0
0

0
0
0

0
0
0

0
0
0

48
64
80

48
64
80

1

1

0

0

0

0

0

96

96

1

1

1

0

0

0

0

112

112

Unsignedbyte

Signedbyte

Table 4.2-5 Pixel Data Quality of SST (6G SST)
No

Status01
02

Normalstrong wind (13 - 27 m/s)
light rain
(below several mm/h)
satellite attitude out(incident angle:
below 54 or over 56
degrees)(roll angle:
above 0.01 degrees)
land area(above 2 %)sea icesun glint(less than 25 degrees)rain (above several mm/h)
abnormal SST (Sea Surface
Temperature) or RFI (Radio
Frequency Interference)strong wind (above 27 m/s)
cold SST (Sea Surface
Temperature)(below minus 2 degC)

03

04

05
06
07
08
09
10
11

0
0

bit7～bit4
Error
0
0
0
0

0
0

bit3～bit0
Normal
0
0
0
0

0
0

0
1

0
1

0
1

0

0

0

0

0

0

1

0

2

2

0

0

0

1

0

0

0

0

16

16

0

0

1

0

0

0

0

0

32

32

0

0

1

1

0

0

0

0

48

48

0

1

0

0

0

0

0

0

64

64

0

1

0

1

0

0

0

0

80

80

0

1

1

0

0

0

0

0

96

96

0

1

1

1

0

0

0

0

112

112

1

0

0

0

0

0

0

0

128

-128

Notice: The Accuracy of the No.2, and No. 3 is worse than No.1.

4-14

Table 4.2-6 Pixel Data Quality of SST (10G SST)
No

Status01
02

Normalstrong wind (13 - 27 m/s)
SST (Sea Surface
Temperature) below 9 degCstrong wind (13 - 27 m/s)
and SST (Sea Surface
Temperature) below 9 degCsatellite attitude out(incident angle:
below 54 or over 56
degrees)(roll angle:
above 0.01 degrees)
land area(above 2 %)sea icesun glint(less than 25 degrees)
rain
abnormal SST (Sea Surface
Temperature) or RFI (Radio
Frequency Interference)strong wind(above 27 m/s)
cold SST (Sea Surface
Temperature)(below minus 2 degC)

03
04

05

06
07
08
09
10
11
12

0
0

bit7～bit4
Error
0
0
0
0

0
0

bit3～bit0
Normal
0
0
0
0

0
1

Unsignedbyte
01

Signed
byte
0
1

0
0

0

0

0

0

0

0

1

0

2

2

0

0

0

0

0

0

1

1

3

3

0

0

0

1

0

0

0

0

16

16

0

0

1

0

0

0

0

0

32

32

0

0

1

1

0

0

0

0

48

48

0

1

0

0

0

0

0

0

64

64

0

1

0

1

0

0

0

0

80

80

0

1

1

0

0

0

0

0

96

96

0

1

1

1

0

0

0

0

112

112

1

0

0

0

0

0

0

0

128

-128

Notice: The Accuracy of the No.2, No.3 and No. 4 is worse than No.1.

4-15

Table 4.2-7 Pixel Data Quality of SST (Multi Band SST)
No

Status01
02

Normalstrong wind (13 - 27 m/s)
light rain
(below several mm/h)
land area in 6GHz SST(Sea Surface Temperature)satellite attitude out(incident angle:
below 54 or over 56
degrees)(roll angle:
above 0.01 degrees)
land area(above 2 %)sea icesun glint(less than 25 degrees)rain (above several mm/h)
abnormal
SST(Sea
Surface Temperature) or
RFI (Radio
Frequency Interference)strong wind (above 27 m/s)
cold SST (Sea Surface
Temperature)(below minus 2 degC)

03
04

05

06
07
08
09
10
11
12

0
0

bit7～bit4
Error
0
0
0
0

0
0

bit3～bit0
Normal
0
0
0
0

0
1

Unsignedbyte
01

Signed
byte
0
1

0
0

0

0

0

0

0

0

1

0

2

2

0

0

0

0

0

1

0

0

4

4

0

0

0

1

0

0

0

0

16

16

0

0

1

0

0

0

0

0

32

32

0

0

1

1

0

0

0

0

48

48

0

1

0

0

0

0

0

0

64

64

0

1

0

1

0

0

0

0

80

80

0

1

1

0

0

0

0

0

96

96

0

1

1

1

0

0

0

0

112

112

1

0

0

0

0

0

0

0

128

-128

0
0
0
0
0
0
0

Unsigned
byte
0
16
32
48
64
80
96

Signed
byte
0
16
32
48
64
80
96

Notice: The Accuracy of No.2, No.3 and No. 4 is worse than No.1.

Table 4.2-8 Pixel Data Quality of SSW
No

Status

01
02
03
04
05
06
07

NormalIncident angle error
Land area
Sea iceSun glitter
Rain、abnormal TB
Abnormal wind speed
No data of w6 incorrecting wind direction
RFI

08
09

0
0
0
0
0
0
0

bit7～bit4
Error
0
0
0
0
0
1
0
1
1
0
1
0
1
1

0
1
0
1
0
1
0

0
0
0
0
0
0
0

bit3～bit0
Normal
0
0
0
0
0
0
0
0
0
0
0
0
0
0

0

1

1

1

0

0

0

0

112

112

1

0

0

0

0

0

0

0

128

-128

4-16

Table 4.2-9 Pixel Data Quality of SND
No

Status

01
02
03
04

No snow
Wet snow
Dry snow
Cold snow
High elevation false snow
(frozen ground)
Shallow snow
Ocean
Snow impossible
Permanent ice
Lake Ice
Lake
Tb out of range
Satellite attitude out
Missing Tb values
No data snow density

05
06
07
08
09
10
11
12
13
14
15

0
0
0
0

bit7～bit4
Error
0
0
0
0
0
0
0
0

0
0
0
0

bit3～bit0
Normal
0
0
0
1
0
1
1
0

0
0
0
0

0

0

0

0
0
0
0
0
0
1
1
1
1

0
0
0
0
1
1
1
1
1
1

0
0
1
1
0
0
0
0
1
1

1
0
1
0

Unsigned
byte
1
2
3
4

Signed
byte
1
2
3
4

0

0

1

0

1

5

5

0
1
0
1
0
1
0
1
0
1

0
0
0
0
0
0
0
0
0
0

1
0
0
0
0
0
0
0
0
0

1
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0

6
16
32
48
64
80
192
208
224
240

6
16
32
48
64
80
-64
-48
-32
-16

0
1
0
0

Unsigned
byte
0
1
2
4

Signed
byte
0
1
2
4

Table 4.2-10 Pixel Data Quality of SIC
No

Status

01
02
03
04

Normal
SST mask
Latitude mask
Land filter target pixel
not used（will be used by
RFI）
Land mask
Satellite attitude out
Invalid TB
L1 Land/Ocean Flag Error

05
06
07
08
09

0
0
0
0

bit7～bit4
Error
0
0
0
0
0
0
0
0

0
0
0
0

0
0
0
0

bit3～bit0
Normal
0
0
0
0
0
1
1
0

0

0

0

1

0

0

0

0

16

16

0
0
1
1

0
1
0
0

1
0
0
0

0
0
0
1

0
0
0
0

0
0
0
0

0
0
0
0

0
0
0
0

32
64
128
144

32
64
-128
-112

4-17

4.3 Dataset (High resolution)(1) Scan Time
See the “Scan time” of low resolution.
(2) Position in Orbit
See the “Position in Orbit” of low resolution.
(3) Geophysical Data for 89A
The geophysical quantity data processed by Level 2 algorithm is stored on the earth surface at
89GHz A-horn.
Item
Geophysical Datageophysicalquantity
Precipitation

Minimum

Maximum-327.60

327.67

Error value

Unit

Remarks-32761-32768mm/h-～(4) Geophysical Data for 89B
The geophysical quantity data processed by Level 2 algorithm is stored on the earth surface at
89GHz B-horn.
(5) Latitude of Observation Point for 89A
The latitude of the observation point on the earth surface at 89GHz A-horn is stored.

- 90° < latitude £ 90°
Item
Latitude of Observation
Point for 89A

Minimum-90.00Maximum
90.00

Error value-9999.0

Unit
deg

Remarks
Negative value showssouth latitude.
Positive value shows
north latitude.

(6) Longitude of Observation Point for 89A
The longitude of the observation point on the earth surface at 89GHz A-horn is stored.

- 180° < longitude £ 180°
Item
Longitude of Observation
Point for 89A

Minimum-180.00

Maximum
180.00Error value-9999.0

Unit
deg

Remarks
Negative value shows
west longitude.
Positive value shows east
longitude.

(7) Lat of Observation Point for 89B
The latitude of the observation point on the earth surface at 89GHz B-horn is stored. The data range
and abnormal value are the same as 89 GHz A-horn.
(8) Long of Observation Point for 89B
The longitude to the observation point on the earth surface at 89GHz B-horn is stored. The data
range and abnormal value are the same as 89 GHz A-horn.

4-18

(9) Pixel Data Quality for 89A
See the Table 4.2-4 Pixel Data Quality of PRC.
(10) Pixel Data Quality for 89B
See the Table 4.2-4 Pixel Data Quality of PRC.

4-19

AMSR2 Level 3 product format specification

Change record
Issue

Date

Sheet

Description of changeNC

2013/05

－

－

Rev.A

2013/12－The scale factor of PRC was modified from 0.1 to 0.01.
Add notes for the two-layer structure of SND.

Rev.B

2015/03－

Add notes for the two-layer structure of SST (addition of
10GHz SST).
Correction of errors about Product metadata items count.
Update description of Dataset Items.(Brightness Temperature/
Geophysical Data, Average Number, Total Number)

Rev. C

2016/07

3-14
3-15
3-18
3-19
3-22
3-23
3-26
3-27

Add information about SWE (Scale factor / Units)

Rev.D

2020/03

3-12～3-29

Table 3-6～Table 3-33 (*1)
Add description about product compression.

-Content1 Introduction ................................................................................................................................. 1-1
1.1 Purpose ................................................................................................................................. 1-1
1.2 Overview .............................................................................................................................. 1-1
2 Applicable and reference documents ........................................................................................... 2-1
2.1 Applicable documents ........................................................................................................... 2-1
2.2 Reference documents ............................................................................................................ 2-1
3 Product description ...................................................................................................................... 3-2
3.1 Structure of product file................................................................................................... 3-2

3.2 Structure of data ................................................................................................................... 3-4
3.3 Architecture of data ............................................................................................................ 3-30
3.4 Special instruction .............................................................................................................. 3-58
3.4.1 Product file name ......................................................................................................... 3-58
3.4.2 Specification of the projection ...................................................................................... 3-58
3.4.3 Dummy data ................................................................................................................. 3-63
3.4.4 89GHz Images .............................................................................................................. 3-64
4 Description of data ...................................................................................................................... 4-1
4.1 Product metadata (Attribute) ................................................................................................. 4-1
4.2 Dataset .................................................................................................................................. 4-5i1 Introduction
1.1 Purpose
This format specification describes the format of AMSR2 level 3 product file which is produced at
Japan Aerospace Exploration Agency (JAXA). This document describes the structure and contents of
AMSR2 level 3 product file.

1.2

Overview
AMSR2 level 3 product file stores the daily or monthly average data calculated level 1B or level 2

and static information, and projected it on each map by equi-rectangular and polar stereo projection.
There are two types of daily AMSR2 level 3 product file by the kind of geophysical quantities. One
is a daily average data, another is overwrite data in the day.

1-1

2 Applicable and reference documents
2.1 Applicable documents
・ EIS granule ID prescription（NEB-060005B）

2.2

Reference documents
・ AMSR-E Data Users Handbook(NCX-030021)
・ AMSR-E Level 1 product format description（NEB-00011F）
・ AMSR-E Level 2 format description (NDX-000272C)・ AMSR-E Level 2 Map format description (NDX-000273D)
・ AMSR-E Level 3 format description (NDX-000274B)

2-1

3

Product description
AMSR2 level 3 product file stores the daily or monthly average data calculated level 1B or level 2

and static information. The features of the product are shown as below.

3.1

Structure of product file
The structure of AMSR2 Level3 product file (Daily) is shown in Table3-1. And The AMSR2Level3 product file (Monthly) is show in Table3-2.

Table 3-1 Daily AMSR2 Level 3 product file structure

Header

Structure

HDF Data

Product Metadata

Attribute

Data

DatasetContent
Describe unique information of the productdata.
The example of the stored data is shown as
below.
・Averaged or overwritten data
・Time information.
(Average case shows negative value,
overwrite case shows the time overwritten.)

Table 3-2 AMSR2 Monthly AMSR2 Level 3 product file structure

Header

Structure

HDF Data

Product Metadata

HeaderData

DatasetContent
Describe unique information of the productdata.
The example of the stored data is shown as
below.
・Averaged data
・Static information
・Standard deviation
・Total number of data
・Average data

3-2

Table 3-3 Geophysical quantity and projection
Geophysical quantity
Brightness
Temperature

Total
Precipitable
Water
Cloud Liquid Water
Precipitation
Sea Surface Wind
speed
Sea
SurfaceTemperature
Sea Ice Concentration
Snow Depth

Soil Moisture Content

Projection
EQR
Northern polarstereoSouthern polarstereo
EQR

Data type
Daily / Monthly
Daily / Monthly

Resolution
High[0.1°] / Low[0.25°]
High[10km] / Low[0.25km]

Daily / Monthly

High[10km] / Low[0.25km]

Daily / Monthly

High[0.1°] / Low[0.25°]

EQR
EQR
EQR

Daily / Monthly
Daily / Monthly
Daily / Monthly

High[0.1°] / Low[0.25°]
High[0.1°] / Low[0.25°]
High[0.1°] / Low[0.25°]

EQR

Daily / Monthly

High[0.1°] / Low[0.25°]

EQR
Northern polarstereoSouthern polarstereo
EQR
Northern polarstereoDaily / Monthly
Daily / Monthly

High[0.1°] / Low[0.25°]
High[10km] / Low[0.25km]

Daily / Monthly

High[10km] / Low[0.25km]

Daily / Monthly
Daily / Monthly

High[0.1°] / Low[0.25°]
High[10km] / Low[0.25km]

Table 3-4 Static method of daily level 3 product
Geophysical quantity
Static method
Brightness Temperature
Sea Ice Concentration
AverageSnow Depth
Soil Moisture Content
Total Precipitable Water
Cloud Liquid Water
Precipitation
Overwrite by latest data
Sea Surface Wind speed
Sea Surface Temperature* In case of monthly level 3 is processed by average method.

3-3

3.2

Structure of data
Fig. 3.4.1-1 Structure of daily AMSR2level 3product ～Fig. 3.4.1-4 shows structure of AMSR2

level 3 product data. Table 3-5 ~ Table 3-33 Data set list [Northern PS - SND] shows data set
specification of level 3 product data.

Level 3 ProductProduct Metadata

pixel(Header)
pixel

line

(Data)

line

Brightness Temperature (H)Brightness Temperature (V)

pixel

line

Time Information

Fig. 3.4.1-1 Structure of daily AMSR2level 3product [Brightness temperature]

3-4

Level 3 ProductProduct Metadata(Header)(Data)
pixel

pixel

line

line

Time Information

Geophysical Data

Fig. 3.4.1-2 Structure of daily AMSR2level 3product [Geophysical quantity]

3-5

Level 3 ProductProduct Metadata(Header)(Data)

pixel

pixel

line

line

Brightness Temperature (V)pixel

Brightness Temperature (H)

pixel

pixel

line

line

Standard Deviation(V)Average Number(V)Total Number(V)

pixel

pixel

pixel

line

line

line

Standard Deviation(H)Average Number(H)line

Total Number(H)Fig. 3.4.1-3 Structure of monthly AMSR2level 3product [Brightness temperature]

3-6

Level 3 ProductProduct Metadata(Header)
pixel

pixel

(Data)

line

line

Geophysical Data

Standard Deviation

pixel

pixel

line

line

Average Number

Total Number

Fig. 3.4.1-4 Structure of monthly AMSR2level 3product [Geophysical quantity]

3-7

Table 3-5 Product metadata items
No

MetaDataName

Max Size(Byte)

Japanese Name

ProductName

12

Abbreviated name2

GeophysicalName

36

Geophysical quantity name

3

MeanType

16

Average method

4

Projection

5

Projection type5

Resolution

7

Resolution vslue

3-8

1

Explanation/Range[Daily/Monthly][XXXXXXXXXXXX]AMSR2-L3[Daily/Monthly][XXXXXXXXXXXXXXXXX]
Total Precipitable Water
Cloud Liquid Water
Precipitation
Sea Surface Temperature
Sea Surface Wind speed
Sea Ice Concentration
Snow Depth
Soil Moisture Content
Brightness Temperature (89GHz)
etc[Daily/Monthly][XXXXXXXXX]
DayMean : Daily average
DayOverwrite : Daily overwrite
MonthMean : Monthly average[Daily/Monthly][XXXXX]
EQR : Equi-rectangularPS- : Northern polar stereo
PS-S : Southern polar stereo[Daily/Monthly]
0.1deg0.25deg
10km
25km

Fixed/Variable
Fixed

Variable

Variable

Variable

Variable

No

MetaDataName

Max Size(Byte)

Japanese Name

3-9

6

ProductVersion

1

Product version

7

AlgorithmVersion

3

Algorithm version

8

ParameterVersion

3

Parameter version

9

ProductSize_MByte

8

Product size(MByte)

10

AlgorithmDeveloper

8

Algorithm Developer code

11

GranuleID64

Granule ID

12

ProductionDateTime

24

Product creation time and date
(UTC)

Explanation/Range[Daily/Monthly][X]
0～Z[Daily/Monthly]
[XXX]
0～999
[Daily/Monthly]
[XXX]
0～999
[Daily/Monthly][XXXXX．X][x 1024 x 1024byte]
0．0～99999．9[Daily/Monthly][XXXXXXXXXXXX][Daily/Monthly][XXXXXXXXXXXX][Daily/Monthly][YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)

Fixed/Variable
Variable

Variable

Variable

Variable
Variable
Variable

Variable

No

MetaDataName

Max Size(Byte)

Japanese Name

3-10

13

ObservationStartDateTime

25

Start time and date of observation
data（UTC）

14

ObservationEndDateTime

25

End time and date of observation
data（UTC）

15

PGEName20

Data processing software name16

InputFileName

30000

Input file name(Level1 or Level2 data file name)17

ProcessingCenter

12

Data processing center18

ContactOrganizationName

300

Contact organization name19

ContactOrganizationTelephone

16

Contact telephone number

Explanation/Range[Daily/Monthly][YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)[Daily/Monthly][YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(milli-second)[Daily/Monthly][XXXXXXXXXXXX]XXXXXXXXXXXX : Strings[Daily/Monthly]Ex.)
XXXXXXXXXXXX,XXXXXXXXXXXX[Daily/Monthly][XXXXXXXXXXXX]XXXXXXXXXXXX : Strings[Daily/Monthly][XXXXXXXXXXXX]XXXXXXXXXXXX : Strings[Daily/Monthly]

Fixed/Variable

Variable

VariableFixed

Variable

Fixed
Fixed
Fixed

No

MetaDataName

Max Size(Byte)

Japanese Name

Explanation/Range

Fixed/Variable[+050-0000-0000]

3-11

20

StartOrbitNumber

6

Start orbit number

21

StopOrbitNumber

6

End orbit number

22

OrbitDirection

11

Orbit direction

23

PlatformShortName

8

Platform name24

SensorShortName

8

Sensor names

25

ECSDataModel

8

Meta data model name

[Daily/Monthly][XXXXX]
0～99999[Daily/Monthly][XXXXX]
0～99999[Daily/Monthly][XXXXXXXXX]
Ascending
Descending[Daily/Monthly][XXXXXXXX]
GCOM-W1[Daily/Monthly][XXXXXXXX]AMSR2[Daily/Monthly][B.0]
StringVariable

Variable

Variable

Fixed
Fixed
Fixed

(1)Daily [High resolution]
Table 3-6 Data set list [EQR - BT]
No.

Data

1
2
3
4

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Time Information
Total(Bytes)
Total(MB)Samples
25
3,600
3,600
3,600

Bytes/
Sample
100
2
2
2

Type
unsigned int
unsigned int
signed int

Bytes/
Record
2,500
7,200
7,200
7,200

Records

Sum(bytes)

Scale factor

Units

1
1,800
1,800
1,800

2,500
12,960,000
12,960,000
12,960,000
38,882,500
37.08 (*1)

0.01
0.01
1.00

K
K
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 40% to 50% of uncompr
essed.

3-12

Table 3-7 Data set list [Northern PS - BT]
No.

Data

1
2
3
4

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Time Information
Total(Bytes)
Total(MB)Samples
25
760
760
760

Bytes/
Sample
100
2
2
2

Type
unsigned int
unsigned int
signed int

Bytes/
Record
2,500
1,520
1,520
1,520

Records

Sum(bytes)

1
1,120
1,120
1,120

2,500
1,702,400
1,702,400
1,702,400
5,109,700
4.87 (*1)

Scale factor

Units

0.01
0.01
1.00

K
K
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 50% to 60% of uncom
pressed.

Table 3-8 Data set list [Southern PS - BT]
No.
1
2
3
4

Data
ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Time Information
Total(Bytes)
Total(MB)Samples
25
790
790
790

Bytes/
Sample
100
2
2
2

Type
unsigned int
unsigned int
signed int

Bytes/
Record
2,500
1,580
1,580
1,580

Records

Sum(bytes)

1
830
830
830

2,500
1,311,400
1,311,400
1,311,400
3,936,700
3.75 (*1)

Scale factor

Units

0.01
0.01
1.00

K
K
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 50% to 60% of uncompr
essed.

3-13

Table 3-9 Data set list [EQR - Geophysical quantity]

1 ProductMeta Data

25

Bytes/
Sample100

2 Geophysical Data

3,600

3 Time Information
Total(Bytes)
Total(MB)

3,600

No.

Data

Samples

3-14-

Bytes/
Record2,500

2signed int

7,200

1,800

12,960,000

2signed int

7,200

1,800

12,960,000
25,922,500
24.72 (*1)

Type

Records

Sum(bytes)

1

2,500

Scale factor

Units

0.01
0.001
0.01
0.01
0.01
0.1
0.1
1.00

TPW:kg/m2
CLW:kg/m2
PRC:mm/h
SSW:m/s
SST: C
SND: cm
SMC: %
min*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.
*Geophysical Data of SST has the two-layer structure. Primary SST observed by 6GHz is stored in the first layer. SST observed by 10GHz, which has higher spatial resolution than the primary SST (more pi
xels are available in coastal area), is stored in the second layer So, the data size is also doubled.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 1% to 20% of uncomp
ressed.

Table 3-10 Data set list [Northern PS - SIC]
No.

Data

1 ProductMeta Data
2 Geophysical Data
3 Time Information
Total(Bytes)
Total(MB)Samples
25
760
760

Bytes/
Sample
100
2
2

Type
signed int
signed int

Bytes/
Record
2,500
1,520
1,520

Records

Sum(bytes)

1
1,120
1,120

2,500
1,702,400
1,702,400
3,407,300
3.25 (*1)

Scale factor

Units

0.1
1.00

SIC:%
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

Table 3-11 Data set list [Southern PS - SIC]
No.

Data

1 ProductMeta Data
2 Geophysical Data
3 Time Information
Total(Bytes)
Total(MB)Samples
25
790
790

Bytes/
Sample
100
2
2

Type
signed int
signed int

Bytes/
Record
2,500
1,580
1,580

Records

Sum(bytes)

1
830
830

2,500
1,311,400
1,311,400
2,625,300
2.50 (*1)

Scale factor

Units

0.1
1.00

SIC:%
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

Table 3-12 Data set list [Northern PS - SND]

3-15

No.

Data

1 ProductMeta Data
2 Geophysical Data
3 Time Information
Total(Bytes)
Total(MB)Samples
25
1,080
1,080

Bytes/
Sample
100
2
2

Type
signed int
signed int

Bytes/
Record
2,500
2,160
2,160

Records

Sum(bytes)

1
1,435
1,435

2,500
3,099,600
3,099,600
6,201,700
5.91 (*1)

Scale factor

Units

0.1
1

SND:cmmin*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

(2)Daily [Low resolution]
Table 3-13 Data set list [EQR - BT]
No.

Data

1
2
3
4

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Time Information
Total(Bytes)
Total(MB)Samples
25
1,440
1,440
1,440

Bytes/
Sample
100
2
2
2

Type
unsigned int
unsigned int
signed int

Bytes/
Record
2,500
2,880
2,880
2,880

Records

Sum(bytes)

1
720
720
720

2,500
2,076,480
2,076,480
2,076,480
6,231,940
5.94 (*1)

Scale factor

Units

0.01
0.01
1.00

K
K
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 40% to 50% of uncom
pressed.

3-16

Table 3-14 Data set list [Northern PS - BT]
No.

Data

1
2
3
4

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Time Information
Total(Bytes)
Total(MB)Samples
25
304
304
304

Bytes/
Sample
100
2
2
2

Type
unsigned int
unsigned int
signed int

Bytes/
Record
2,500
608
608
608

Records

Sum(bytes)

1
448
448
448

2,500
272,384
272,384
272,384
819,652
0.78 (*1)

Scale factor

Units

0.01
0.01
1.00

K
K
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 50% to 60% of uncom
pressed.

Table 3-15 Data set list [Southern PS - BT]
No.

Data

1
2
3
4

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Time Information
Total(Bytes)
Total(MB)Samples
25
316
316
316

Bytes/
Sample
100
2
2
2

Type
unsigned int
unsigned int
signed int

Bytes/
Record
2,500
632
632
632

Records

Sum(bytes)

1
332
332
332

2,500
209,824
209,824
209,824
631,972
0.60 (*1)

Scale factor

Units

0.01
0.01
1.00

K
K
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 60% of uncompressed.

Table 3-16 Data set list [EQR - Geophysical quantity]
3-17

1 ProductMeta Data

25

Bytes/
Sample100

2 Geophysical Data

1,440

3 Time Information
Total(Bytes)
Total(MB)

1,440

No.

Data

Samples-

Bytes/
Record2,500

2signed int

2,880

720

2,076,4802

signed int

2,880

720

2,076,480
4,155,460
3.96 (*1)

Type

Records

Sum(bytes)

1

2,500

Scale factor

Units

0.01
0.001
0.01
0.01
0.01
0.1
0.1
1.00

TPW:kg/m2
CLW:kg/m2
PRC:mm/h
SSW:m/s
SST: C
SND: cm
SMC: %
min*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.
*Geophysical Data of SST has the two-layer structure. Primary SST observed by 6GHz is stored in the first layer. SST observed by 10GHz, which has higher spatial resolution than the primary SST (more pixe
ls are available in coastal area), is stored in the second layer. So, the data size is also doubled.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 1% to 20% of uncompr
essed.

Table 3-17 Data set list [Northern PS - SIC]
No.
1
2
3

Data
ProductMeta Data
Geophysical Data
Time Information
Total(Bytes)
Total(MB)Samples
25
304
304

Bytes/
Sample
100
2
2

Type
signed int
signed int

Bytes/
Record
2,500
608
608

Records

Sum(bytes)

1
448
448

2,500
272,384
272,384
547,268
0.52 (*1)

Scale factor

Units

0.1
1.00

SIC:%
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

Table 3-18 Data set list [Southern PS - SIC]
3-18

No.

Data

1 ProductMeta Data
2 Geophysical Data
3 Time Information
Total(Bytes)
Total(MB)Samples
25
316
316

Bytes/
Sample
100
2
2

Type
signed int
signed int

Bytes/
Record
2,500
632
632

Records

Sum(bytes)

1
332
332

2,500
209,824
209,824
422,148
0.40 (*1)

Scale factor

Units

0.1
1.00

SIC:%
min

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

Table 3-19 Data set list [Northern PS - SND]
No.

Data

1 ProductMeta Data
2 Geophysical Data
3 Time Information
Total(Bytes)
Total(MB)Samples
25
432
432

Bytes/
Sample
100
2
2

Type
signed int
signed int

Bytes/
Record
2,500
864
864

Records

Sum(bytes)

1
574
574

2,500
495,936495,936994,372
0.95 (*1)

Scale factor

Units

0.1
1

SND:cmmin*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

(3)Monthly [High resolution]
Table 3-20 Data set list [EQR - BT]
3-19

No.

Data

1
2
3
4
5
6
7
8
9

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Standard Deviation (V)Average Number (V)Total Number (V)Standard Deviation (H)Average Number (H)Total Number (H)Total(Bytes)
Total(MB)Samples
25
3,600
3,600
3,600
3,600
3,600
3,600
3,600
3,600

Bytes/
Sample
100
2
2
2
2
2
2
2
2

Type
unsigned int
unsigned int
signed int
signed int
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
7,200
7,200
7,200
7,200
7,200
7,200
7,200
7,200

Records

Sum(bytes)

Scale factor

Units

1
1,800
1,800
1,800
1,800
1,800
1,800
1,800
1,800

2,500
12,960,000
12,960,000
12,960,000
12,960,000
12,960,000
12,960,000
12,960,000
12,960,000
103,682,500
98.88 (*1)

0.01
0.01
0.01
1.00
1.00
0.01
1.00
1.00

K
K
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 20% to 30% of uncom
pressed.

Table 3-21 Data set list [Northern PS - BT]

No.

Data

1
2
3
4
5
6
7
8
9

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Standard Deviation (V)Average Number (V)Total Number (V)Standard Deviation (H)Average Number (H)Total Number (H)Total(Bytes)
Total(MB)Samples
25
760
760
760
760
760
760
760
760

Bytes/
Sample
100
2
2
2
2
2
2
2
2

Type
unsigned int
unsigned int
signed int
signed int
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
1,520
1,520
1,520
1,520
1,520
1,520
1,520
1,520

Records

Sum(bytes)

Scale factor

Units

1
1,120
1,120
1,120
1,120
1,120
1,120
1,120
1,120

2,500
1,702,400
1,702,400
1,702,400
1,702,400
1,702,400
1,702,400
1,702,400
1,702,400
13,621,700
12.99 (*1)

0.01
0.01
0.01
1.00
1.00
0.01
1.00
1.00

K
K
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 20% to 30% of uncom
pressed.

3-20

Table 3-22 Data set list [Southern PS - BT]
No.

Data

1
2
3
4
5
6
7
8
9

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Standard Deviation (V)Average Number (V)Total Number (V)Standard Deviation (H)Average Number (H)Total Number (H)Total(Bytes)
Total(MB)Samples
25
790
790
790
790
790
790
790
790

Bytes/
Sample
100
2
2
2
2
2
2
2
2

Type
unsigned int
unsigned int
signed int
signed int
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
1,580
1,580
1,580
1,580
1,580
1,580
1,580
1,580

Records

Sum(bytes)

Scale factor

Units

1
830
830
830
830
830
830
830
830

2,500
1,311,400
1,311,400
1,311,400
1,311,400
1,311,400
1,311,400
1,311,400
1,311,400
10,493,700
10.01 (*1)

0.01
0.01
0.01
1.00
1.00
0.01
1.00
1.00

K
K
-

3-21

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 20% to 30% of uncom
pressed.

No.

Data

1 ProductMeta Data

Table 3-23 Data set list [EQR - Geophysical quantity]
Bytes/
Bytes/
SamplesType
Records
SampleRecord
25
100
2,500
1

Sum(bytes)
2,500

2 Geophysical Data

3,600

2

signed int

7,200

1,800

12,960,000

3 Standard Deviation
4 Average Number
5 Total Number
Total(Bytes)
Total(MB)

3,600
3,600
3,600

2
2
2

signed int
signed int
signed int

7,200
7,200
7,200

1,800
1,800
1,800

12,960,000
12,960,000
12,960,000
51,842,500
49.44 (*1)

Scale factor

Units

0.01
0.001
0.01
0.01
0.01
0.1
0.1
0.01
1.00
1.00

TPW:kg/m2
CLW:kg/m2
PRC:mm/h
SSW:m/s
SST: C
SND: cm
SMC: %-

3-22*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.
* Geophysical Data of SST has the two-layer structure. Primary SST observed by 6GHz is stored in the first layer. SST observed by 10GHz, which has higher spatial resolution than the primary SST (more pix
els are available in coastal area), is stored in the second layer So, the data size is also doubled.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 1% to 30% of uncompr
essed.

Table 3-24 Data set list [Northern PS - SIC]
No.

Data

1
2
3
4
5

ProductMeta Data
Geophysical Data
Standard Deviation
Average Number
Total Number
Total(Bytes)
Total(MB)Samples
25
760
760
760
760

Bytes/
Sample
100
2
2
2
2

Type
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
1,520
1,520
1,520
1,520

Records

Sum(bytes)

1
1,120
1,120
1,120
1,120

2,500
1,702,400
1,702,400
1,702,400
1,702,400
6,812,100
6.50 (*1)

Scale factor

Units

0.1
0.01
1.00
1.00

SIC:%
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

Table 3-25 Data set list [Southern PS - SIC]
No.

Data

1
2
3
4
5

ProductMeta Data
Geophysical Data
Standard Deviation
Average Number
Total Number
Total(Bytes)
Total(MB)Samples
25
790
790
790
790

Bytes/
Sample
100
2
2
2
2

Type
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
1,580
1,580
1,580
1,580

Records

Sum(bytes)

1
830
830
830
830

2,500
1,311,400
1,311,400
1,311,400
1,311,400
5,248,100
5.00 (*1)

Scale factor

Units

0.1
0.01
1.00
1.00

SIC:%
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

Table 3-26 Data set list [Northern PS - SND]
3-23

No.

Data

1
2
3
4
5

ProductMeta Data
Geophysical Data
Standard Deviation
Average Number
Total Number
Total(Bytes)
Total(MB)Samples
25
1,080
1,080
1,080
1,080

Bytes/
Sample
100
2
2
2
2

Type
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
2,160
2,160
2,160
2,160

Records

Sum(bytes)

Scale factor

Units

1
1,435
1,435
1,435
1,435

2,500
3,099,600
3,099,600
3,099,600
3,099,600
12,400,900
11.83 (*1)

0.10
0.01
1.00
1.00

SND: cm-*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.So, the data size isalso doubled. SWE: Scale factor = 0.1, Units = cm.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about 1% of uncompressed.

(4)Monthly [Low resolution]
Table 3-27 Data set list [EQR - BT]
No.

Data

1
2
3
4
5
6
7
8
9
3-24

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Standard Deviation (V)Average Number (V)Total Number (V)Standard Deviation (H)Average Number (H)Total Number (H)Total(Bytes)
Total(MB)Samples
25
1,440
1,440
1,440
1,440
1,440
1,440
1,440
1,440

Bytes/
Sample
100
2
2
2
2
2
2
2
2

Type
unsigned int
unsigned int
signed int
signed int
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
2,880
2,880
2,880
2,880
2,880
2,880
2,880
2,880

Records

Sum(bytes)

Scale factor

Units

1
720
720
720
720
720
720
720
720

2,500
2,076,480
2,076,480
2,076,480
2,076,480
2,076,480
2,076,480
2,076,480
2,076,480
16,614,340
15.84 (*1)

0.01
0.01
0.01
1.00
1.00
0.01
1.00
1.00

K
K
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 30% to 50% of uncom
pressed.

Table 3-28 Data set list [Northern PS - BT]
No.

Data

1
2
3
4
5
6
7
8
9

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Standard Deviation (V)Average Number (V)Total Number (V)Standard Deviation (H)Average Number (H)Total Number (H)Total(Bytes)
Total(MB)Samples
25
304
304
304
304
304
304
304
304

Bytes/
Sample
100
2
2
2
2
2
2
2
2

Type
unsigned int
unsigned int
signed int
signed int
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
608
608
608
608
608
608
608
608

Records

Sum(bytes)

1
448
448
448
448
448
448
448
448

2,500
272,384
272,384
272,384
272,384
272,384
272,384
272,384
272,384
2,181,572
2.08 (*1)

Scale factor

Units

0.01
0.01
0.01
1.00
1.00
0.01
1.00
1.00

K
K
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 40% to 60% of uncom

3-25pressed.

Table 3-29 Data set list [Southern PS - BT]
No.

Data

1
2
3
4
5
6
7
8
9

ProductMeta Data
Brightness Temperature (V)Brightness Temperature (H)Standard Deviation (V)Average Number (V)Total Number (V)Standard Deviation (H)Average Number (H)Total Number (H)Total(Bytes)
Total(MB)Samples
25
316
316
316
316
316
316
316
316

Bytes/
Sample
100
2
2
2
2
2
2
2
2

Type
unsigned int
unsigned int
signed int
signed int
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
632
632
632
632
632
632
632
632

Records

Sum(bytes)

1
332
332
332
332
332
332
332
332

2,500
209,824
209,824
209,824
209,824
209,824
209,824
209,824
209,824
1,681,092
1.60 (*1)

Scale factor

Units

0.01
0.01
0.01
1.00
1.00
0.01
1.00
1.00

K
K
-

3-26

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 40% to 60% of uncom
pressed.

Table 3-30 Data set list [EQR - Geophysical quantity]

1 Core Meta Data

25

Bytes/
Sample100

2 Geophysical Data

1,440

3 Standard Deviation
4 Average Number
5 Total Number
Total(Bytes)
Total(MB)

1,440
1,440
1,440

No.

Data

Samples

3-27-

Bytes/
Record2,500

2signed int

2,880

2
2
2

signed int
signed int
signed int

2,880
2,880
2,880

Type

Records

Sum(bytes)

1
720

2,500

2,076,480

720
720
720

2,076,480
2,076,480
2,076,480
8,308,420
7.92 (*1)

Scale factor

Units

0.01
0.001
0.01
0.01
0.01
0.1
0.1
0.01
1.00
1.00

TPW:kg/m2
CLW:kg/m2
PRC:mm/h
SSW:m/s
SST: C
SND: cm
SMC: %-*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.
*Geophysical Data of SST has the two-layer structure. Primary SST observed by 6GHz is stored in the first layer. SST observed by 10GHz, which has higher spatial resolution than the primary SST (more pi
xels are available in coastal area), is stored in the second layer So, the data size is also doubled.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 1% to 30% of uncompr
essed.

Table 3-31 Data set list [Northern PS - SIC]
No.

Data

1
2
3
4
5

Core Meta Data
Geophysical Data
Standard Deviation
Average Number
Total Number
Total(Bytes)
Total(MB)Samples
25
304
304
304
304

Bytes/
Sample
100
2
2
2
2

Type
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
608
608
608
608

Records

Sum(bytes)

1
448
448
448
448

2,500
272,384
272,384
272,384
272,384
1,092,036
1.04 (*1)

Scale factor

Units

0.1
0.01
1.00
1.00

SIC:%
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 1% to 5% of uncompre
ssed.

3-28

Table 3-32 Data set list [Southern PS - SIC]
No.

Data

1
2
3
4
5

Core Meta Data
Geophysical Data
Standard Deviation
Average Number
Total Number
Total(Bytes)
Total(MB)Samples
25
316
316
316
316

Bytes/
Sample
100
2
2
2
2

Type
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
632
632
632
632

Records

Sum(bytes)

1
332
332
332
332

2,500
209,824
209,824
209,824
209,824
841,7960.80 (*1)

Scale factor

Units

0.1
0.01
1.00
1.00

SIC:%
-

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 1% to 5% of uncompre
ssed.

Table 3-33 Data set list [Northern PS - SND]
No.

Data

1
2
3
4
5

Core Meta Data
Geophysical Data
Standard Deviation
Average Number
Total Number
Total(Bytes)
Total(MB)Samples
25
432
432
432
432

Bytes/
Sample
100
2
2
2
2

Type
signed int
signed int
signed int
signed int

Bytes/
Record
2,500
864
864
864
864

Records

Sum(bytes)

1
574
574
574
574

2,500
495,936495,936495,936495,936
1,986,244
1.89 (*1)

Scale factor

Units

0.10
0.01
1.00
1.00

SND: cm-*Geophysical Data of SND has the two-layer structure. Primary SND is stored in the first layer. SWE, which is calculated from the SND (Snow water: Snow Water Equivalent) is stored in the second layer.
So, the data size is also doubled. SWE: Scale factor = 0.1, Units = cm.

(*1) The version 04.061 or later of MOS provides the internal compression function. The size of product file will be reduced to about from 1% to 5% of uncompre

3-29

ssed.

Architecture of data
2 byte(3599, 0)

The longitude -0.1 ゜ point

The longitude 0.1 ゜ point(0, 0)The longitude 0 ゜ point

3.3(3599,1799)(0, 1799)

Brightness Temperature(V)Brightness Temperature(H)Time Information
Fig. 3.4.1-1 Structure of BT by EQR [Daily - High resolution]

3-30

2 byte(759, 0)The 760th pixel point

The second pixel point

The first pixel point(0, 0)(0, 1119)(759, 1119)

Brightness Temperature(V)Brightness Temperature(H)Time Information

Fig. 3.4.1-2 Structure of BT by Northern PS [Daily - High resolution]

3-31

2 byte(789, 0)The 790th pixel point

The second pixel point

The first pixel point(0, 0)(0, 829)(789, 829)

Brightness Temperature(V)Brightness Temperature(H)Time Information
Fig. 3.4.1-3 Structure of BT by Southern PS [Daily - High resolution]

3-32

2 byte(3599, 0)

The longitude -0.1 ゜ point

The longitude 0.1 ゜ point

The longitude 0 ゜ point(0, 0)(3599,1799)(0, 1799)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-4 Structure of Geophysical quantity BT by EQR [Daily - High resolution]

3-33

2 byte(759, 0)The 760th pixel point

The second pixel point

The first pixel point(0, 0)(0, 1119)(759, 1119)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-5 Structure of SIC by Northern PS [Daily - High resolution]

3-34

2 byte(789, 0)The 790th pixel point

The second pixel point

The first pixel point(0, 0)(0, 829)(789, 829)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-6 Structure of SIC by Southern PS [Daily - High resolution]

3-35

2 byte(1079, 0)

The 1078th pixel point

The second pixel point

The first pixel point(0, 0)(0, 1434)(1079, 1434)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-7 Structure of SND by Northern PS [Daily - High resolution]

3-36

2 byte(1439, 0)

The longitude -0.25 ゜ point

The longitude 0.25 ゜ point

The longitude 0 ゜ point(0, 0)(1439,719)(0, 719)Brightness Temperature(V)Brightness Temperature(H)Time Information

Fig. 3.4.1-8 Structure of BT by EQR [Daily - Low resolution]

3-37

2 byte(303, 0)The 304th pixel point

The second pixel point

The first pixel point(0, 0)(0, 447)(303, 447)

Brightness Temperature(V)Brightness Temperature(H)Time Information
Fig. 3.4.1-9 Structure of BT by Northern PS [Daily - Low resolution]

3-38

2 byte(315, 0)The 316th pixel point

The second pixel point

The first pixel point(0, 0)(0, 331)(315, 331)

Brightness Temperature(V)Brightness Temperature(H)Time Information
Fig. 3.4.1-10 Structure of BT by Southern PS [Daily - Low resolution]

3-39

2 byte(1439, 0)

The longitude -0.25 ゜ point

The longitude 0.25 ゜ point

The longitude 0 ゜ point(0, 0)(1439,719)(0, 719)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-11 Structure of Geophysical quantity by EQR [Daily - Low resolution]

3-40

2 byte(303, 0)The 304th pixel point

The second pixel point

The first pixel point(0, 0)(0, 447)(303, 447)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-12 Structure of SIC by Northern PS [Daily - Low resolution]

3-41

2 byte(315, 0)The 316th pixel point

The second pixel point

The first pixel point(0, 0)(0, 331)(315, 331)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-13 Structure of SIC by Southern PS [Daily - Low resolution]

3-42

2 byte(431, 0)The 431st pixel point

The second pixel point

The first pixel point(0, 0)(0, 573)(431, 573)

Geophysical Data
Time Information*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-14 Structure of SND by Northern PS [Daily - Low resolution]

3-43

2 byte(3599, 0)

The longitude -0.1 ゜ point

The longitude 0.1 ゜ point

The longitude 0 ゜ point(0, 0)(3599,1799)(0, 1799)

Brightness Temperature(V)Brightness Temperature(H)Standard Diviation (V)Average Number (V)Total Number (V)Standard Diviation (H)Average Number (H)Total Number (H)Fig. 3.4.1-15 Structure of BT by EQR [Monthly - High resolution]

3-44

2 byte(759, 0)The 760th pixel point

The second pixel point

The first pixel point(0, 0)(0, 1119)(759, 1119)

Brightness Temperature(V)Brightness Temperature(H)Standard Diviation (V)Average Number (V)Total Number (V)Standard Diviation (H)Average Number (H)Total Number (H)Fig. 3.4.1-16 Structure of BT by Northern PS [Monthly - High resolution]

3-45

2 byte(789, 0)The 790th pixel point

The second pixel point

The first pixel point(0, 0)(0, 829)(789, 829)

Brightness Temperature(V)Brightness Temperature(H)Standard Diviation (V)Average Number (V)Total Number (V)Standard Diviation (H)Average Number (H)Total Number (H)Fig. 3.4.1-17 Structure of BT by Southern PS [Monthly - High resolution]

3-46

2 byte(3599, 0)

The longitude -0.1 ゜ point

The longitude 0.1 ゜ point

The longitude 0 ゜ point(0, 0)(3599,1799)(0, 1799)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-18 Structure of Geophysical quantity by EQR [Monthly - High resolution]

3-47

2 byte(759, 0)The 760th pixel point

The second pixel point

The first pixel point(0, 0)(0, 1119)(759, 1119)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-19 Structure of SIC by Northern PS [Monthly - High resolution]

3-48

2 byte(789, 0)The 790th pixel point

The second pixel point

The first pixel point(0, 0)(0, 829)(789, 829)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-20 Structure of SIC by Southern PS [Monthly - High resolution]

3-49

2 byte(1079, 0)

The 1078th pixel point

The second pixel point

The first pixel point(0, 0)(0, 1434)(1079, 1434)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-21 Structure of SND by Northern PS [Monthly - High resolution]

3-50

2 byte(1439, 0)

The longitude -0.25 ゜ point

The longitude 0.25 ゜ point

The longitude 0 ゜ point(0, 0)(1439,719)(0, 719)Brightness Temperature(V)Brightness Temperature(H)Standard Diviation (V)Average Number (V)Total Number (V)Standard Diviation (H)Average Number (H)Total Number (H)Fig. 3.4.1-22 Structure of BT by EQR [Monthly - Low resolution]

3-51

2 byte(303, 0)The 304th pixel point

The second pixel point

The first pixel point(0, 0)(0, 447)(303, 447)

Brightness Temperature(V)Brightness Temperature(H)Standard Diviation (V)Average Number (V)Total Number (V)Standard Diviation (H)Average Number (H)Total Number (H)Fig. 3.4.1-23 Structure of BT by Northern PS [Monthly - Low resolution]

3-52

2 byte(315, 0)The 316th pixel point

The second pixel point

The first pixel point(0, 0)(0, 331)(315, 331)

Brightness Temperature(V)Brightness Temperature(H)Standard Diviation (V)Average Number (V)Total Number (V)Standard Diviation (H)Average Number (H)Total Number (H)Fig. 3.4.1-24 Structure of BT by Southern PS [Monthly - Low resolution]

3-53

2 byte(1439, 0)

The longitude -0.25 ゜ point

The longitude 0.25 ゜ point

The longitude 0 ゜ point(0, 0)(1439,719)(0, 719)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-25 Structure of Geophysical quantity by EQR [Monthly - Low resolution]

3-54

(303, 0)

The 304th pixel point

The second pixel point

2 byte

The first pixel point(0, 0)(0, 447)(303, 447)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-26 Structure of SIC by Northern PS [Monthly - Low resolution]

3-55

2 byte(315, 0)The 316th pixel point

The second pixel point

The first pixel point(0, 0)(0, 331)(315, 331)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-27 Structure of SIC by Southern PS [Monthly - Low resolution]

3-56

2 byte(431, 0)The 431st pixel point

The second pixel point

The first pixel point(0, 0)(0, 573)(431, 573)

Geophysical Data
Standard Diviation
Average Number
Total Number*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.
(Maximum 3 layers)
Fig. 3.4.1-28 Structure of SND by Northern PS [Monthly - Low resolution]

3-57

3.4 Special instruction
3.4.1 Product file nameAMSR2 level 3 product file follows the file naming convention in below. Granule ID is stated byreference documents.
File name = Granule ID + extension [.h5]Scene ID_Product ID

Byte Location 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41
AMSR2
G W 1 A M 2 _ Y Y Y Y M M D D _ t_ P P W X _ L L x x K K K ｒ ｄ ｖ a a a p p p
Scene ID＜＞

G W 1 A M 2

_

2

0

1

1

1

1

1

Product ID

3

_

0

1 D _ E Q O D _ L 3

S G T 89 H A 110

1 0 0 1

Scene ID
[Satellite] [Sensor] [Observation Start Time] [Static period] [Projection] [Static means] [Orbit Direction]
Satellite: GW1（Fixed Value）
Sensor: AM2（Fixed Value）
Observation Start Time : YYYYMMDDHHmm（UTC）
Static period: ttt (01D : daily product, 01M : monthly product)
Projection: PP (EQ : EQR, PN : North Polar Stereographic projection, PS : South Polar Stereographic projection)
Static means: W (M : Mean, O : Overwrite)
Orbit Direction: X (A：Ascending, D：Descending）
Product ID[Process Level] [Process Kind] [Product ID] [Resolution] [Developer ID] [Product version] [Algorithm version] [Parameter version]
Process Level: LL（L3 : Level 3）
Process Kind
: xx （SG : Standard operation product, RG : Research standard operation product）
Product ID: KKK（<L3> T06 : TB 6GHz, T07 : TB 7GHz, T10 : TB 10GHz, T18 : TB 18GHz, T23 : TB 23GHz, T36 : TB 36GHz, T89 : TB 89GHz,
CLW : Cloud Liquid Water, TPW : Total Precipitable Water, PRC : Precipitation,
SST : Sea Surface Temperature, SSW : Sea Surface Wind speed, SIC : Sea Ice Concentration,
SND : Snow Depth, SMC : Soil Moisture Content）
Resolution: r (L : Low [25km or 0.25deg], H : High [10km or 0.1deg])
Developer ID: d（<L1> _ : underscore（Fixed Value）, ＜L2＞ : A～Z）
Product version : v（0～9, a～z）
Algorithm version : aaa（000～999）P
i（000 999）

3.4.2

Specification of the projection
Table 3-34 The number of pixels for each projection shows the number of pixels for eachprojection. Fig. 3.4.2-1 Definition of the EQR projection ~ Fig. 3.4.2-4 Definition of the Northern
polar stereo projection [TB/SND] show definition of the each projection.

Table 3-34 The number of pixels for each projection

EQR[TB/SIC]
Northern PS[TB/SIC]
Northern PS[SND]
Southern PS[TB/SIC]Low resolution interval[EQR0.25°/PS 25km]
Length number
Width number[Latitude directio[Longitude directio
n]
n]
720
1440

High resolution interval[EQR0.1°/PS10km]
Length number
Width number[Latitude directi [Longitude directi
on]
on]
1800
3600

304

448

760

1120

432

574

1080

1435

316

332

790

830

3-58

Latitude 90.0°
Longitude 0.0°

90.0°
LatitudeLongitude 360.0°

Latitude -90.0°
Longitude
0.0°

Latitude -90.0°
Longitude 360.0°*The latitude and longitude in this figure indicate the position at the edge of the pixel.

Fig. 3.4.2-1 Definition of the EQR projection

3-59

Latitude
30.98°
Longitude 168.35°

Latitude31.37°
Longitude 102.34°

Latitude33.92°
Longitude 279.26°

Latitude34.35°
Longitude 350.03°*The latitude and longitude in this figure indicate the position at the edge of the pixel.

Fig. 3.4.2-2 Definition of the Northern polar stereo projection [TB/SIC]

3-60

Latitude -39.23°
Longitude 317.76°

Latitude -39.23°
Longitude 42.24°

Latitude -41.45°
Longitude 225.00°

Latitude -41.45°
Longitude 135.00°*The latitude and longitude in this figure indicate the position at the edge of the pixel.

Fig. 3.4.2-3 Definition of the Southern polar stereo projection [TB/SIC]

3-61

Latitude
21.48°
Longitude 309.80°

Latitude21.39°
Longitude 230.08°

Latitude 14.59°
Longitude 55.63°

Latitude14.52°
Longitude 124.47°*The latitude and longitude in this figure indicate the position at the edge of the pixel.

Fig. 3.4.2-4 Definition of the Northern polar stereo projection [TB/SND]

3-62

3.4.3

Dummy data
This chapter describes the dummy data in the Level 3 product file.
<Brightness temperature>
Missing value : 65535
Error value: 65531～65534<Geophysical quantity>
Missing value : -32768
Error value: -32761～-32767

Missing values : When there is no geophysical data within observation swath This value is set up
when computing neither the case where the amount of geophysics is incomputable (a packet loss,
the abnormalities in brightness temperature of level 1B, the amount calculation error ofgeophysics, etc.) , nor the amount of geophysics (This case is based on conditions peculiar to theamount of physics. For example, in the case of the amount of geophysics for marine [, such as
SST, ], the area of land does not compute the amount of geophysics.).

Error value : It is outside observation swath data.
-*In some cases, it is 3 dimensions structure by kind of Geophysical quantity.

(Maximum 3 layers)-

Fig. 3.4.1-5 shows sample of daily L3 SST product.
Missing value [-32768]:

Error value [-32761～-32767] :There is outside observation swath,

GeophysicalGeophysical quantity value was not computed

quantity value

within observation swath.

Fig. 3.4.3-1 The example image of level 3 SST product file

3-63

3.4.489GHz Images
This chapter describes the temporal spatial grid algorithm at the AMSR2 level 3 product of 89

GHz image. It is necessary for making the AMSR2 level 3 image to merge 89A horn and 89Bhorn data into one image. We describe the method that is how to merge 89A horn and 89B horn
data.
1) The merging mode of the brightness temperature data
In case of the brightness temperature, the average value of the 89GHz A and B horn data
The correction model of incidence angle is linear equation as below. (The coefficient andmodel may be arranged after the satellite launches.)
tb_a' = G_a × tb_aO_atb_b' = G_b × tb_b

O_b

tb_a', tb_b' ： The brightness temperature after corrected incidence angle [A/B horns]
tb_a, tb_b ： The brightness temperature before corrected incidence angle [A/B horns]
G_a, O_a ： The compensation coefficient for A horn [temporary value 1.0, 0.0]
G_b、O_b ： The compensation coefficient for B horn [temporary value 1.0, 0.0]
2) The merging mode of the geophysical quantity
In case of the geophysical quantity, the overwriting or average process using A/B horn data isdone without A/B horn correcting.
* The situation in which merging is needed
Fig. 3.4.4-1 shows the relation between input data file and output data file at the level 3
process. The level 3 process outputs the brightness temperature level 3 product of eachfrequency. The 89GHz data needs to be merged A, B horn, because the product doesn’t havelayer for A, B horn.
Also in case of high resolution level 3 products that have layers, they needs to be merged A, B
horn each layer, respectively.

3-64

L3 Process

Fig. 3.4.4-1 The relationship of input and output data

3-65

4

Description of data
This chapter describes each data item in the AMSR2 level 3 product file.

4.1 Product metadata (Attribute)(1) ProductName
Abbreviated name of the product is stored as below.
[AMSR2-L3] : AMSR2 level 3 process(2) GeophysicalName
The geophysical quantity name is stored as below.
Item
GeophusicalName

Format[Total Precipitable Water][Cloud Liquid Water][Precipitation][Sea Surface Temperature][Sea Surface Wind speed][Sea Ice Concentration][Snow Depth][Soil Moisture Content][Brightness Temperature (89GHz)] … etc

Remark-(3) MeanType
The static method is stored as below.
Item
MeanType

Format[XXXXX]
DayMean : Daily average static
DayOverwrite : Overwrite static
MonthMean : Monthly average static

RemarkMaximum size ofcharacter is 16.

(4) Projection
The projection type is stored as below.
Item
Projection

Format[EQR] : equi-rectangular projection[PS-N] : Northern polar stereo projection[PS-S] : Southern polar stereo projection

RemarkMaximum size ofcharacter is 5.

(5) Resolution
The resolution is stored as below.
Item
Resolution

Format[0.1deg] : The each pixel shows 0.1deg.[High resolution of EQR]
[0.25deg]: The each pixel shows 0.25deg.[Low resolution of EQR]
[10km] : The each pixel shows 10km.[High resolution of PS][25km] : The each pixel shows 25km.[Low resolution of PS]

4-1

RemarkMaximum sizeof character is7.

(6) ProductVersion
The product version is stored as below.
Item
ProductVersion

Minimum
0

Maximum
Ｚ

Error value
-

Unit
-

Remarks
single-digit oralpha-numeral

Maximum
999

Error value
-

Unit
-

Remarks
3-digit numeral

Maximum
999

Error value
-

Unit
-

Remarks
3-digit numeral(7) AlgorithmVersion
The algorithm version is stored as below.
Item
AlgorithmVersion

Minimum000(8) ParameterVersion
The parameter version is stored as below.
Item
ParameterVersion

Minimum000(9) ProductSize_MByte
The product size is stored as below.
Item
ProductSize_MByte

Minimum
0.0

Maximum
99999.9

Error value
-

Unit
MByte

Remarks
Mbyte(×1024×1024byte)(10) AlgorithmDeveloper
The algorithm developer code is stored.
Item
AlgorismDeveloper

Format[XXXXXXXX]

Remarks
Maximum size of character is 8.

(11) GranuleID
The granule ID is stored. Granule ID is unique ID for product file. Please see the section 3.4.1 formore detail.

(12) ProductionDateTime
The product creation time and date is stored as below.
Item
ProductionDateTime

Format[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(millisecond)

4-2

Remarks
When the leap
second is updated,“ss” may show 60.

(13) ObservationStartDateTime
The start time and date of observation data is stored as below.
Item
ObservationStartTime

Format[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(millisecond)

Remarks-(14) ObservationEndDateTime
The end time and date of observation data is stored as below.
Item
ObservationEndTime

Format[YYYY-MM-DDＴhh:mm:ss.uuuZ]YYYY：XXXX(Year)
MM：01～12(Month)
DD：01～31(Day)hh：00～23(Hour)
mm：00～59(Minute)ss：00～59(Second)
uuu：000～999(millisecond)

Remarks-(15) PGEName
The application name is stored.
Item
PGENameContent
Application name

Remarks
Maximum size of character is 20.

(16) InputFileName
The input file names are stored. If there are some input files, the stored data are delimited bycomma [,].
Ex.)
GW1AM2_201207110007_183D_L1SGBTBR_0000000.h5,GW1AM2_201207110146_199D_L1S
GBTBR_0000000.h5
Item
InputFileName

Content
Input File Name

Remarks
Maximum size of character is
30000.

(17) ProcessingCenter, ContactOrganizationName, ContactOrganizationTelephone
The information of data processing center is stored.
Item
ProcessingCenter
ContactOrganizationName
ContactOrganizationTelephone

Content
Processing Center
Organization Name
Organization Telephone
number4-3

Remarks
Maximum size of character is 12.
Maximum size of character is 300.
Maximum size of character is 16.

(18) StartOrbitNumber, StopOrbitNumber
The orbit numbers at the observation start and end point in the product file are stored. The orbit
number is numbered serially after the GCOM-W1 satellite launch.
Item

Content

Minimum

MaximumStartOrbitNumber

Start orbit
numberEnd orbit
number00

StopOrbitNumber

Unit

Remarks

99999

Error
value
-9999

-

99999

-9999

-

Under 5 digit
numberUnder 5 digit
number(19) OrbitDirection
The orbit direction at the observation start point is stored.
Item
OrbitDirection

Content
Orbit direction

FormatAscending or Descending

Remarks
Maximum size of character is
11.

(20) PlatformShortName, SensorShortName
The satellite name [GCOM-W1] and sensor name [AMSR2] are stored.

(21) ECSDataModel
The metadata model name is stored.
Item
MetaDataModel

Content
Metadata model nameFormat[B.0]

4-4

Remarks
Maximum size of character is 8.

4.2

DatasetThis chapter describes dataset in L3 product file.

(1) Brightness Temperature / Geophysical Data
The static valid value included in the grid(except error and missing) of brightness temperature or
geophysical quantity (or latest data *See Table 3-4) is stored.

Item

Minimum Maximum

Error
value

Unit

10

500

65535
[Missing
data]
65534
[Parityerror]

K

Total Precipitable Water-327.60

327.67-32761 ～-32768kg/m2

Cloud Liquid Wat-32.7632.77-32761 ～kg/m2-32768Sea Surface Wind speed-327.60

327.67-32761 ～-32768m/s

Precipitation-327.60

327.67-32761 ～-32768mm/h

Sea Surface Temperature-327.60

327.67-32761 ～-32768C

Sea Ice Concentration-3276.00

3276.70-32761 ～%-32768Snow Depth-3276.00

3276.70-32761 ～-32768

Soil Moisture Content-3276.00

3276.70-32761 ～%-32768

Geophysical quantity

Brightness
Brightness Temperature
Temperature

Geophysical
Data

cm

Remarks

Includingsnowwater *1

*1
Snow water equivalent (second layer) = SND(the first layer) * coefficient(Climate value of the density)(For more information, refer to the algorithm Statement)

4-5

(2) Time Information
The time information of observation data is stored as total minutes in the day (start origin 0:00).
There are 2 types time information in the daily level 3 product file. In case of overwriting product,
the updated time is stored. In case of daily average product, the calculated average time multipliedby -1 is stored. The overwriting or average product depends on kind of geophysical quantity.
Item
TimeInformation

Minimum-1440

Maximum
0Error value-32761～-32768

Unit
-

0

1440

-32761～-32768-

Remarks
In case of
average
In case ofoverwrite(3) Standard Deviation
The standarad deviation value for each pixel is stored. This item is only stored in monthly product.
ItemStandard Deviation

Minimum-327.60

Maximum
327.67

Error value-32761～-32768

Unit-

Remarks-(4) Average NumberThis is the number of valid physical quantity data(except error and missing) which was used todetermine “Geophysical Data”. This item is only stored in monthly product.
Item
Average Number

Minimum-32760Maximum
32767

Error value-32761～-32768

Unit-

Remarks-(5) Total NumberThis is the number of physical quantity data included in the grid(include valid and invalid). This
item is only stored in monthly product.
Item
Total Number

Minimum
0

Maximum
32767

Error value-32761～-32768

4-6

Unit
-

Remarks-