NIESISSUE#23
2012
NIESGOSATGOSATPROJECTPROJECTNEWSLETTERNEWSLETTERISSUE#18AUGUST
JUN. 2011

ISSUE # 23
AUGUST 2012

CONTENTS
NEWS
Report­:­the­4th­GOSAT­RA­PI­Meeting­
Report­:­IWGGMS-8­

01
03

INTERVIEW
A­Series­:­"IBUKI"'s­PI­Interview­-­Dr.­Vanessa­Sherlock­
New­Version­FTS­SWIR­Level­2­Data­Product­Released­

04
06

AHA! OF THE MONTH

いぶき
IBUKI

NIES GOSAT PROJECT NEWSLETTER

A­Series­:­How­to­Use­GUIG­Tool­"SWIR­L2­Global­Distribution­Map"­-­4­-­ 07
DATA PRODUCT UPDATE
Data­Processing­Status­Update­from­GOSAT­Project­Offi
­­ce­

08

ANNOUNCEMENTS­

09

Independent Administrative Institution
National Institute for Environmental Studies (NIES)
A newsletter on the Greenhouse gases Observing SATellite(GOSAT,“IBUKI” ) project from the NIES GOSAT Project Oﬃce.
" IBUKI " (GOSAT)

http://www.gosat.nies.go.jp/

Group­photo­of­the­4th­GOSAT­RA­PI­Meeting­held­at­California­Institute­of­Technology

NEWS

Report : The 4th GOSAT RA PI Meeting

Chairperson,­GOSAT­RA­Selection­and­Evaluation­Committee­(RA­Committee)
Professor­Haruhisa­Shimoda­of­Research­Institute­of­Science­and­Technology­at­Tokai­University
and the guests from the National Aeronautics and SpaceThe meeting was held at California Institute of Technology

Administration (NASA) and others.

(Caltech) in Pasadena, CA, USA, on July 20, 21 and 22,

The meeting started with the opening session at 2 p.m. on

following the 8th International Workshop on Greenhouse Gas

Measurements from Space (see another report) held on 18, 19

the first day, followed by sessions on calibration, validation,

Auditorium (see next page). The participants were 46 including

The plenary started with the greeting remarks from Technicalalgorithms, modeling, application, and closing session.

and 20 also at Caltech. The venue was the Cahill Hameetman

Principal Investigators (PIs) and Co-Investigators (Co-Is), and 73 in

Official Atsushi Goto of Office for Global Environment ResearchStudies (NIES), Japan Aerospace Exploration Agency (JAXA),

the meeting, Professor Paul Wennberg of Caltech. They wereat Ministry of the Environment, Japan, and the local host of

total, including the staff from National Institute for Environmental

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2.

1.

Participants at the meeting

The Cahill Hameetman Auditorium, Caltech

followed by reports on current status of GOSAT project: “Brief

improvement of regional CO2 sources and sinks (flux) estimation

report on the GOSAT Science Team activity” (Visiting Professor

by inverse modeling methods. Also comparison on flux was madeoperation and L1 calibration” (Shinichi Fukagawa, JAXA), “Reportaccordance with each other in regions except tropical area, where

Gen Inoue, the University of Tokyo), “Recent status of GOSAT
on SWIR L2 V02.xx algorithms” (Yukio Yoshida, NIES), “Reporton validation summary of SWIR L2 V02.xx” (Isamu Morino,

among various models’ outcomes, revealing comparatively goodlarge differences were found among models.

The last was the application session with 11 presentations,

NIES), “Current status of aerosol retrieval” (Hideaki Takenaka,

mainly targeting on regional greenhouse gas trend (CO2 and CH4).

on RA users’ privileges” (Hiroshi Watanabe, NIES), “Summary ofhas brought many accomplishments in application areas. As for CAI-

the University of Tokyo), “Data processing status and review
action items from the 3rd RA PI Meeting in Edinburgh” (Hiroshi
Watanabe, NIES).

Three researchers gave presentations in the calibration session:

Enhanced accuracy of column-averaged volume mixing ratio data

related presentation, radiative forcing of CO2 and soot aerosol werereported.

Thereafter discussions were held in 3 groups of SWIR, TIR, and“GOSAT TIR band: vicarious calibration using ground-based, airborne,

flux estimation, summaries of which were briefly reported at the

Wisconsin), “Processing GOSAT spectra and images at LPMAA*1” (Dr.

outcomes of each retrieval using common spectrum data, and flux

and satellite infrared sensors” (Dr. Robert Knuteson, the University of
Claude Camy-Peyret, LPMAA), and “Effects of atmosphere and sun-target-sensor geometry on CAI-measured reflectance and NDVI *2”(Professor Masayuki Tamura, Kyoto University).

The validation session saw 13 presentations: 4 used ground-based high-resolution FTSs (mainly TCCON*3 data); 3 were related

to observation with validation instruments like CO2 sonde, Fabry-

Perot interferometer, differential absorption lidar; 2 intended to

identify the large point sources like thermal power plants; 3 madecomparison with other satellites’ data, and 1 focused on the groundclosing session: SWIR and TIR groups are respectively to compare
estimation group is to conduct comparative experiments to identify
the nature of flux estimation differences, whether they are causedby the difference of column-averaged volume mixing ratio data

or by algorithm itself. Also it was pointed out that spectrum data
versions for column-averaged volume mixing ratio data used byeach estimation group are not the same.

Below is my summing up of the PI meeting as a whole.

(1) The quality improvement of column-averaged volume mixing

ratio data for CO 2 and CH 4 by NIES, ACOS *5 , etc., validated

vegetation.

The algorithm session had 9 presentations reporting: influences

on retrieval by cloud, aerosol, and ground reflectance; comparisonof outcomes when proxy / full physics algorithms were applied toCH4; retrieval of N2O, O3, CH3OH, NH3, HDO from thermal infrared

data; the fluorescence observation from the vegetation chlorophyll(reported last year for the first time) and its global map of Gross

Primary Production being under validation with the expectation ofcoming outcomes (Dr. Christian Frankenberg, JPL*4).

In the following model session, there were 7 presentations,by TCCON data, has enabled authentic scientific application
including inverse model analysis(2) That said, data accuracy is waited for validation in high-reflectance areas with no TCCON sites, and also accuracy ofTCCON data itself needs to be re-evaluated in high-latitude areas(3) As for FTS TIR, no retrieval is got based on the latest spectrum

data, wanting immediate retrieval and validation, and its
consequential improvement of retrieval algorithm(4) Currently, inverse models have large differences in flux
estimations to apply them to policymakings or scientificresearches, leaving much further improvement

which showed that GOSAT data greatly contributed to the*1 Laboratoire de Physique Moléculaire pour l’Atmosphère et l’Astrophysique is a joint laboratory of Université Pierre et Marie Curie (theUniversity of Paris VI) and Centre National de la Recherche Scientifique.
*2 Normalized Difference Vegetation Index is an index representing a
degree of activity of vegetation.
*3 Total Carbon Column Observing Network is a network of the groundbased high-resolution FTSs observations. Currently, its observations
are carried out in more than ten locations worldwide. TCCON's column-

averaged volume mixing ratios of greenhouse gases are used for validating
greenhouse gases observation by satellites and other carbon cycle studies.
*4 Jet Propulsion Laboratory is a federally funded research anddevelopment center and operated by Caltech for NASA.
*5 Atmospheric CO2 Observations from Space is formed by a number of
institutions including JPL, Caltech, and Colorado State University, and isformed around the Orbiting Carbon Observatory (OCO) Science Team.

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NEWS

Report : IWGGMS-8- Yukio Yoshida,
  Researcher, Satellite Remote Sensing Research Section,
  Center for Global Environmental Research at NIES

The Eighth International Workshop on Greenhouse Gas

Measurements from Space (IWGGMS-8) was held from Jun. 18 to
20, 2012, hosted by the Jet Propulsion Laboratory, the National

Aeronautics and Space Administration (NASA/JPL) and the California
Institute of Technology (Caltech). The workshop has been held

almost annually since 2004 to share and discuss latest knowledge

for observation of greenhouse gas from space. The venue this time,
Caltech, where IWGGMS-2 (Mar. 2005) and IWGGMS-5 (Jun. 2008)
were held, is a very familiar place for this workshop.

Oral presentationand the major difference among SWIR retrieval algorithms is theto greenhouse gas observations by current satellites, validation ofaerosol/cloud to minimize errors). Many validation studies use TCCON

future satellites’ missions. A poster session was held in the second

observation conditions where aerosol concentration is relatively low

of beers and discussions around the fountain. The workshop had

retrieval results agree well around TCCON sites, whereas in otherGOSAT data were used in many cases.

build new TCCON sites with much aerosol influence and high ground

retrieval analyses of column-averaged volume mixing ratios ofe.g., focusing on CO 2 column-averaged volume mixing ratio inof GOSAT, and presentations were made on results of these analyses

relatively small; comparison with the simulated result by atmospheric

optical path length modification due to atmospheric light scattering,

only CO2 and CH4, but O3, CFCs, and NH3 retrieval results were also

The first and second day had various presentations related

handling of the optical path length modification (i.e., how to handle

their results, and application studies. Third day saw introductions ofdata, however, most of the TCCON sites are located with good

day’s afternoon, creating festive scenes of participants with a couple

and ground reflectance is not so high; the consequence is that SWIR

approximately 100 presentations, oral and posters all together, where

regions, not necessarily do. For this reason, an idea was extended to

Several research groups, including NIES, are conducting

reflectance. The retrieval results were evaluated by other methods;

greenhouse gases from Short Wavelength InfraRed (SWIR) spectra

the southern hemisphere where its spatiotemporal fluctuation isand intercomparisons among them. The major error source is thetransport model. As for the GOSAT Thermal InfraRed (TIR) spectra, notpresented.

There were also several presentations about the global

carbon flux inverse analysis based on the GOSAT-measured column-

averaged volume mixing ratio. GOSAT gave the first opportunity for

global carbon flux inversions enabled with the column-averaged
volume mixing ratio of CO2. Practically it is difficult now to makecomparison among carbon flux quantifications, each of which isbased on different data and methodology. The range of result with aparticular methodology and various data has been shown, and thoseby different methodology with the same data will be evaluated forfurther discussions.

The next IWGGMS is going to be held in Japan, details of which

will be informed on this newsletter once determined.
Outdoor poster session

Group photo of the IWGGMS-8

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INTERVIEW

A Series : "IBUKI"'s PI Interview
No.7

Dr.

Vanessa Sherlock
NIWA­Scientist

NIES GOSAT Project invited Dr. Vanessa Sherlock of National
Institute of Water and Atmospheric Research (NIWA), New

Zealand, from Jan. 23 to 27, 2012, by the Environment Research
and Technology Development Fund of the Ministry of theEnvironment, Japan, on “Study on Precision Improvementof Greenhouse Gas Concentrations Obtained by Analysis ofthe "IBUKI" Observational Data”, and exchanged information
about and discussed the data validation methodology andthe outcomes of its analysis in the Southern Hemisphere. This
interview was made during her stay.

(Interviewer: H. Watanabe and I. Morino, NIES GOSAT Project)

写真：田中ゆき­Dr.­Vanessa­Sherlock
Watanabe (hereafter W) & Morino (hereafter M): Thank you

for coming to Japan and taking time for us. We know you are
getting back to your work, so let’s go very quickly and shortly…
Vanessa Sherlock (hereafter S): It’s OK, it's my pleasure.

W: At first, I’d like to start by asking your personal history as a
researcher, including your education and research work.

S: I studied at University of Canterbury in Christchurch, New
Zealand and graduated with BSc in Physics and then undertook

4 year post-graduate cycle in Meteorology, Oceanography andEnvironment at the Université Pierre et Marie Curie (Paris IV).
W: Then your career started in France?

S: Yes, I obtained my PhD in France, for my work on themeasurement of water vapour in the mid and upper troposphereusing Raman lidar . Then I took up a research position at the*1

United Kingdom Meteorological Office for two years, working
on the development of radiative transfer codes for the direct

assimilation of radiances from high resolution infrared sounders(IASI*2, AIRS*3). I returned to my home country, New Zealand, towork for NIWA in 2001. While at NIWA, I have worked on projects

ranging from mesoscale *4 satellite data assimilation to theinference of nutrient availability in the upper ocean using remotesensing data. I have been involved in the TCCON (Total Carbon*5

Column Observing Network) project since 2004, and became the
PI of the TCCON programme in Lauder in 2007.
W: So what do you think of GOSAT status?

S: I think in the past year JAXA and NIES have had made asignificant improvements to the spectrum and column-averaged
volume mixing ratio retrievals. The satellite data sets havereached maturity and can now be used to provide insights into
the global carbon cycle. This is a very exciting time.

W: I would like to ask that if you have some request for the

GOSAT Project, GUIG *6 , or GOSAT interface. I have alreadyheard of GUIG from you, so no need to repeat...only if you haveadditional request.

S: I'd like to take this opportunity to thank you for thefunding you have provided which has enabled me to attend
some of the RA meetings and to make this visit to Japan tofurther our collaboration. We have a common interest inunderstanding retrieval errors, and to take advantage of low
inherent atmospheric variability of CO2 and CH4 in the Southern
Hemisphere to characterize the NIES SWIR retrieval errors. The

GUIG is a very efficient data order and delivery system andsuggestions I have made to improve it have been promptly
implemented.

W: Now we are going to consider GOSAT-2. Have you heard ofthat?

S: No, I hadn’t, but I think it is great you are considering a followon mission.

W: In future, we’ll have OCO-2, CarbonSat, and followed by
GOSAT-2…
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S: I hope the OCO-2 mission finds a launch vehicle soon.

W: This is officially the end of questions, following is my final

on the future GOSAT-2? Do you prefer the interferometer or thein Tokyo before going to France to study at the Universite de

W: We are not sure, at this moment. Do you have any request
grating?

M: We have now started thinking this interferometer and also

they plan to have CAI sensor similar to GOSAT. But JAXA may bethinking an imaging spectrometer for CAI Band 1…

W: It might be a similar question, but do you have any commentor recommendation for NIES and JAXA on current GOSAT project
operation?

S: I think that the GOSAT project has been very successful, andI know that many researchers appreciate the fact that you haveprovided opportunities for meetings/discussions going fromthe spectrum data right through to the results of surface flux

inversions. It is very valuable to bring the measurement, retrieval
and inversion communities together in this way...

question as an aside… (here switched to French) I studied French
Grenoble. How did you learn French in New Zealand?

S: I learned French in the school in New Zealand. But after I went
to Paris, I learned French more at the Alliance Française.

W: There are several francophone PIs, as you know. I sometimes
speak with them in French.

S: Yes, there are some. Are you thinking cooperation with CNES?

W: I don’t know at this moment. But I discussed it with Camy-

Peyret-san, Ricaud-san, and I think it very encouraging to have
non-native francophone members like you because I'm not sogood in speaking English.

Well, thank you very much and see you again at next PI

meeting.

S: Thank you.

From left, Dr. Sherlock, Watanabe, Morino*1

Raman Lidar stands for Raman Light Detection And Ranging. Lidar*3

Atmospheric InfraRed Sounder (AIRS) is a high spectral resolution

is an optical remote sensing technology that measures the properties

spectrometer that measures atmospheric temperature and humidity,of a target by illuminating the target with light, often using pulses fromand land and sea surface temperature. It is installed on Aqua satellite, anda laser. Raman lidar uses the scattering (Raman scattering) properties oflaunched in May 2002. The instrument is designed to support climate

molecules and aerosols to identify the molecule (by wavelength shift) andresearch and improve weather forecasting.

its number concentration (by intensity of scattering light).

*4 Atmospheric phenomena are divided into scales of four stages: micro,*2 Infrared Atmospheric Sounding Interferometer (IASI) is an instrument

local, meso, and global (from small to large). Mesoscale covers from 10km

unit of MetOp, a series of European meteorological satellites. IASI measures

to some hundreds km.

infrared radiation emitted from the surface of the Earth to derive data

*5

Please refer to *3 of page 2.

on humidity and temperature profiles in the troposphere and lower*6

GOSAT User Interface Gateway (GUIG) provides GOSAT observation

stratosphere, as well as some of the chemical components playing a key

data and it also provides various images, global or regional, at its gallery.

role for climate monitoring and atmospheric chemistry. The first model was

http://data.gosat.nies.go.jp/

launched on MetOp-A satellite in October 2006.

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NEWS New Version FTS SWIR Level 2 Data Product Released
Fumie Kawazoe, Specialist and Akira Yuki, Office Staff, NIES GOSAT Project Office            GOSAT Project upgraded two Level

2 standard products generated based on

SWIR*1 band data obtained by the TANSOFTS onboard “IBUKI”, and released togeneral public on June 1, 2012. The newversion Level 2 products are FTS Level 2CO2 column amount*2(SWIR) and FTS Level

2 CH4 column amount (SWIR), their version
being V02.xx (xx is numeric).

There are two major differences

between these new products and theirprevious version.

(1) CO2 column-averaged volume mixing

Fig. 1  Global map of the V02.00 XCO2 in 2.5 degree mesh for the month of July, 2009

ratios (XCO 2 ) became higher thanthe previous version (Figs.1, 2). By
validating the new version, XCO 2

are found to be 0.3% lower than thevalidation data, compared to having

been 2 – 3% lower in the case ofprevious version, which proves the
improvement of product quality.

The improvement was brought inby updating the retrieval algorithm

and reference data; the details of

which are described in “Algorithm

Theoretical Basis Document for CO 2

Fig. 2  Global map of the V01.10 XCO2 in 2.5 degree mesh for the month of July, 2009

and CH 4 Column Amounts Retrieval

From GOSAT TANSO-FTS SWIR” (inpreparation).

(2) Released data area has increased forCO2 column amount and CH4 column

amount (Figs.1 – 4). FTS SWIR Level

2 data is verified its quality after the
retrieval processing and is not released

when the quality is not good. The
upgrade has improved data quality,

also bringing data volume increase
accordingly. All verified quality items

are described on “Important Notes at

Fig. 3  Global map of the V02.00 XCH4 in 2.5 degree mesh for the month of July, 2009

releasing FTS SWIR L2 Products (V02.
xx)” on GOSAT User Interface Gateway(GUIG)*3.

*1 SWIR stands for Short Wavelength InfraRed.

*2 Total number of gas molecule included in a
vertical column of atmosphere from the surfaceof the ground to upper-air*3 GOSAT User Interface Gateway (GUIG) : http://
data.gosat.nies.go.jp/ For more details, pleaserefer to *6 of page 5.

Fig. 4  Global map of the V01.10 XCH4 in 2.5 degree mesh for the month of July, 2009

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AHA! OF THE MONTH

A Series: How to Use GUIG Tool "SWIR L2 Global Distribution Map" - 4 - Sayaka Kanekon, Office Staff, NIES GOSAT Project Office

(e)

(a)
(b)

(d)

(c)
A screenshot of the Tool after the "3 days" CAI image underlaid to the map         In this series, we have explained in stages how to use "SWIRL2 Global Distribution Map" tool, a menu contained in GOSAT User
Interface Gateway (GUIG), and this is the 4th and last time ofData Product Released" on page 6 of this issue.
(2) Save displayed data

If you check "Points" (b) and click any observed point on the

explanation.

map, a pop-up screen comes out to show the information of the(1) Search/display concentration data: you can search and display

Land/Sea, etc., and data on the table can be downloaded in the

The main functions of the Tool are:

SWIR Level 2 column-averaged mixing ratios (XCO2, XCH4) of thepoints observed by "IBUKI."(2) Save displayed data: you can download data displayed at (1) as
CSV file format or KML file format (for Google Earth).

(3) Display CAI data as background: you can display CAI Level 3
satellite images (global radiance distribution (3 days' composite) , orglobal reflectance distribution (30 days' composite) as a backgroundof the map.

This time, we describe additional functions of (1), and mainfunctions of (2) and (3) - (As for use conditions, starting of theTool, and main functions of (1), please refer to issues of Aug.,
Sept., and Nov., 2011). For further details of usage, read "help" putright bottom of the top screen of the Tool.

point: observed date, volume mixing ratio, latitude, longitude,

format selected at (c) when "save" clicked. CSV means text format,
while KML is applicable on Google Earth. KML file is used to show

observed points on the earth by a double-click or "file"-"open" on
Google Earth (Google Earth needs to be installed beforehand).
(3) Display CAI data as background

CAI Level 3 image of the same observation period can bedisplayed on the map as a background to SWIR Level 2 data.

Available period of CAI Level 3 image is limited for the moment,"No CAI Image" can be responded depending on the search
period set at (d), that is, please note ● shown below (data will

be added according to our plan). Then choose what image toshow at drop-down list (e). In the case the period has multiple

images to show, pop-up screen comes out to ask you which one

to adopt. Finally CAI image is underlaid as a background to theplotted SWIR Level 2 data.

(1) Search/display concentration data

● "3Days": 3 days' composite of global radiance distribution

addition to the past required items, you can specify data version● "Clear Sky": 30 days' composite of global minimum reflectanceNow choice of SWIR Level 2 data version became available; Inof your choice at drop-down list (a). The difference between
versions is explained in the article "New Version FTS SWIR Level 2(with could), available Apr. 20, 2009 - Aug. 9, 2010

distribution (without cloud), available Apr. 1, 2009 - Aug. 31, 2010

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DATA PRODUCTS UPDATE

Data Processing Status Update from GOSAT Project Office- Fumie Kawazoe, Specialist, NIES GOSAT Project OfficeObservation Period and Versions of Publicly Released Data

As of July 27, 2012

FTS L1B data

●
●
●
●
●
●
●
●
●

050050080080100100110110128128130130141141150150150151

143,700 scenes
80,200 scenes
210,500 scenes
125,700 scenes
196,900 scenes
316,100 scenes
355,100 scenes
302,200 scenes
89,900 scenes

FTS L2 CO2 column amount  (SWIR)

●
●
●
●
●
●
●

01.10
01.20
01.30
01.40
01.50
02.00
02.10

26,000 scans
14,800 scans
46,900 scans
28,300 scans
41,200 scans
85,000 scans
66,800 scans

●
●
●
●
●
●
●

01.10
01.20
01.30
01.40
01.50
02.00
02.10

24,300 scans
13,400 scans
44,200 scans
27,700 scans
39,400 scans
85,100 scans
66,800 scans● 00.01● 00.01

204,800 scans
206,400 scans

FTS L2 CH4 column amount (SWIR)FTS L2 CO2 profile (TIR)FTS L2 CH4 profile (TIR)FTS L3 global CO2, CH4 distribution (SWIR)

●
●
●
●
●
●

01.10
01.20
01.30
01.31
01.40
01.50

8 months
3 months
7 months
1 month
5 months
7 months● 01.00

388,500 frames

●
●
●
●
●
●

00.50
00.80
00.90
00.91
00.92
01.00

57,800 frames
16,300 frames
114,000 frames
66,000 frames
103,700 frames
97,400 frames● 01.00

336,300 frames

CAI L1B data
CAI L1B+ data

CAI L2 cloud flag
CAI L3 global radiance distribution
●
●
●
●
●

CAI L3 global reflectance distribution

2009/
4
6

8

10

12

2010/
2
4

6

8

10

12

2011/
2
4

6

8

10

12

2012/
2
4

00.50
00.80
00.90
00.91
00.92

99 recurrences
36 recurrences
253 recurrences
144 recurrences
158 recurrences● 00.91● 00.92

6

49 months
77 months

8 ← Observation period

We had processed and released V128.128 and V130.130 for FTS

by changing processing parameter. Version number for FTS L2 CO2/

radiance distribution, and L3 global reflectance distribution data

For CAIs, observation data since December 2011 are upgraded from

Processing of data products FTS L1B V128.128 and its

as they are ready. At this moment, both FTS and CAI data are underL1B data product; V00.92 for CAI L1B, L1B+, L2 cloud flag, L3 global
products; and V01.50 for FTS L2 CO2/CH4 column amounts (SWIR).

corresponding V01.50 for FTS L2 CO2/CH4 column amounts (SWIR)

were terminated. FTS L1B was upgraded from V130.130 to V150.150

on April 16, 2012, and its data since December 2011 was released on
V150.150, and corresponding FTS L2 CO2/CH4 column amounts (SWIR),

CH4 column amounts (SWIR) is changed to V02.11 correspondingly.

V00.92 to V01.00. L3 products' new versions will be released as soon
reprocessing and planned for sequential release. In using these newversion products, please refer to "Important Notes at Releasing"provided on GUIG.

Also FTS L2 profiles (TIR) have been partially released since March

upgraded from V01.50 to V02.10, were processed and released. Also30, 2012. On the other hand, old V00.50 - V00.90 of FTS L2 CO2/CH4

were processed and released as preliminary versions mentioned

V00.92 of CAI L2 cloud flag were terminated their offering.

FTS L1B V141.141 and FTS L2 CO2/CH4 column amounts (SWIR) V02.00

above. Then, FTS L1B was upgraded to V150.151 on June 21, 2012

column amounts (SWIR), V00.50 - V00.92 of CAI L1B, and V00.10 The number of registered users is 1282 as of July 27, 2012.

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ANNOUNCEMENTS● Side event “GOSAT Seminar” held at Rio+20, Brazil
Rio+20, United Nations Conference on Sustainable Development,

development”, with Mr. Nishioka as the moderator, and Deputy

and MOE jointly had a poster session on GOSAT and GOSAT-2 at

Nakajima from JAXA, NIES GOSAT project leader Yokota and NIES

Director Sasaki from MOE, Executive Director Honma and Manager

was held in Rio de Janeiro, Brazil, on June 2012, where JAXA, NIES,GOSAT-2 project preparation team deputy leader Matsunaga from

MOE booth in Japan Pavilion and also had a seminar “Greenhouse

NIES, made presentations.

Gases Observing Satellite "GOSAT" - A clue to global climate policy

Japan Pavilion

Entrance to Rio+20 main conference pavilion crowded withpress waiting for dignitaries● GOSAT Project received Environment Preservation Award 2012GOSAT Project was awarded by the Minister of the Environment. The commendation ceremony was held in Tokyo, June 29, 2012,attended with JAXA manager Nakajima and NIES GOSAT project leader Yokota.

● NIES SUMMER OPEN HOUSE held on July 21 with more than 4,000 visitors.
NIES GOSAT Project presented its observation products on a spherical display, GOSAT model, etc.

From left, GOSAT booth, lecture on global warming, photosynthesis experiment to absorb CO2 emitted from soil

EDITOR'S NOTE

It's our pleasure to be able to publish this newsletter and see you
again after such a long leave of 8 months. Please enjoy the longabsent issue, No. 23, including the last part of GUIG tool series.
For the time being, the issuance will be bimonthly.­­­­We appreciate readers' voices, such as "I want to read articles on...,""... was really interesting." etc. Please feel free to contact : gosat_
newsletter@nies.go.jp.
Thank you for supporting the newsletter.
S. Aikawa

NIES GOSAT PROJECT NEWSLETTER ISSUE #23 AUGUST 2012

Issued­On­:­2012/8/10

edited and published by : NIES GOSAT Project Oﬃce
You can download this newsletter here:
URL : http://www.gosat.nies.go.jp/eng/newsletter/top.htm

email : gosat_newsletter@nies.go.jp

いぶき
IBUKI

NIES GOSAT PROJECT NEWSLETTER

website : http://www.gosat.nies.go.jp/eng/newsletter/top.htm

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