NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

ISSUE # 33
SPRING 2018

CONTENTSREPORTS

Looking back over the last year
Cover story: Satellite Observation Center’s
public relations activities in photos	
The 9th GOSAT RA PI Meeting
Major project outcomes in FY2017

いぶき
IBUKI

NIES GOSAT PROJECT NEWSLETTERGOSAT PEOPLE

01
02
04
05

Introducing young project members—Hibiki Noda

Numbers of GOSAT RA proposals and published peer-reviewed papers

PUBLISHED PAPERS List of papers published in 2016 and 2017
DATA PRODUCTS UPDATE Data processing and release status

06
07
08
13

National Institute for Environmental Studies (NIES)
A newsletter on the Greenhouse gases Observing SATellite“IBUKI” (GOSAT) project from Satellite Observation Center

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

REPORT
Looking back over the last year

Further, aiming to validate GOSAT-2 data, we started operating groundbased observation sites with the support from Ministry of the Environment,
Japan (MOE); such sites include the new TCCON site in the Philippines,
the Kiryu site in Shiga Japan for measuring forest solar induced chlorophyll
fluorescence (SIF), and the Tokyo Skytree site for atmospheric observationand sampling. The observational data being obtained at these sites are
expected to be utilized to improve reliability of GOSAT-2 data products.

Tsuneo Matsunaga, Director of Satellite Observation Center, CGER, NIES

The former issue was published in January 2017, almost a year ago. In
this report, I would therefore like to review major events related to GOSAT
series which took place in the past year (FY 2017).

Last year, there was another important progress in creating international
cooperation frameworks for GOSAT series. In July, NIES and the Finnish
Environment Institute (Suomen ympäristökeskus: SYKE) have signed the
Minutes of Cooperation (MoC) to promote research cooperation between
the two institutes. Along with this agreement, we will start preparation
works for in-situ observations including SIF measurement at forest sites
in Finland from this year. In light of circumstances in Europe where many
projects for satellite-based observations of greenhouse gases (GHGs) arein progress, NIES and the Japan Aerospace Exploration Agency (JAXA)
concluded the agreements concerning cooperation in remote sensingof GHGs in December with European Space Agency (ESA), Centre
National D’Etudes Spatiales (CNES) in France, and German Aerospace
Center (Deuteches Zentrum für Luft und Raumfahrt, abbreviated DLR)
respectively. In particular, with ESA, we will start comparison of methane
concentration data derived by GOSAT series with those derived by
TROPOMI (TROPOspheric Monitoring Instrument) on board Sentinel-5p
satellite, launched last autumn.

GOSAT was operated steadily throughout the last year. In June, the annual
field campaign for vicarious calibration was conducted again in USA, andtwo press releases were issued: one regarding the version update and theextended data period of GOSAT Level 4 Product (carbon dioxide), andone reporting whole atmosphere mean methane concentration derived
by GOSAT. In addition, the new version of FTS SWIR Level 2 Product(V02.72) was released in December. Having made some improvements
including the resolution of minimum reflectance data used for CAI (Cloudand Aerosol Imager) Level 2 Cloud-flag Product, which is one of the input
data for FTS SWIR Level 2 Product, we could increase the amount of databy more than 20% compared to the previous version.
As for GOSAT-2, in preparation for the launch scheduled for this fiscal
year, we vigorously carried out series of designing, development andtesting through the year. Fourier Transform Spectrometer-2 (FTS-2), themost important equipment onboard GOSAT-2, had been developed at
the factory of Harris Corporation in USA. In January, the pre-shipment
review was completed and the FTS-2 finally arrived at the JAXA’s TsukubaSpace Center in February. The installation of the equipment onto GOSAT-2
spacecraft is now underway.

GOSAT-2 will finally be launched in this fiscal year. As GOSAT has also
been in good condition at this point, we will end up starting simultaneous
operation of GOSAT and GOSAT-2. Today, aiming to increase thefrequency of satellite based-GHGs observations, developments of satellite
constellations, a group of satellites operated together for the
maximum observation coverage, has been in discussion in many
countries. GOSAT and GOSAT-2 will be the first satellite constellation
for GHGs observation.

At NIES, we further developed GOSAT-2 Data Processing System (G2DPS)
for higher-level data processing and procured necessary computer
systems. The primary algorithms used to produce Level 2 products
and CAI Level 1B products were delivered from each provider and thealgorithms are now being installed to the G2DPS for the operational
processing.

We appreciate your continued interest in the progress of GOSAT
and GOSAT-2.

1

NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Cover story: Satellite Observation Center’s
public relations activities in photos
Public Symposium

June 16, 2017 (Ootsu, Shiga, Japan)
At NIES Public Symposium 2017 in Shiga
Taizo Mikazuki, Governor of Shiga Prefecture, is receiving explanation
on research outcomes of GOSAT project. The governor showed a greatinterest in GOSAT saying, “In Shiga, we have a mountain called Ibuki,
same as GOSAT’s nickname. So, we feel a sense of closeness.”

June 23, 2017 (Hamamatsu-cho, Tokyo, Japan)
At NIES Public Symposium 2017 in Tokyo
Dagik Earth, three-dimensional digital globe, 60cm in diameter

NIES Spring and Summer Open House

April 22, 2017 (Tsukuba, Ibaraki, Japan)
Hibiki Noda and Makoto Saito, senior researchers of NIES are giving presentations at the spring
open house. This time, new activities were introduced such as a joint exhibition with JAXA and
NIES (photo in lower left) and a virtual tour in the GOSAT-2 computer center using a VR (virtual
reality) headset (photo in lower right).

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July 22, 2017 (Tsukuba, Ibaraki, Japan)
Dagik Earth exhibition at the summer openhouse

NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Exhibition
June 3 – 26, 2017 (Minato-ku, Tokyo, Japan)
A mini-sized Dagik Earth was displayed at the
Minato branch office of the Tokyo Chamber ofCommerce and Industry for the period of three
weeks. An event for VR experience was also held.

Eco-life Fair
June 3-4, 2017 (Yoyogi, Tokyo,
Japan)At the collaboration booth of
JAXA, MOE and NIES. Pictured
right is State Minister of theEnvironment, Yoshihiro Seki,
putting a stamp on the stamp
rally sheet.

UNFCCC COP23
November 11-17, 2017 (Bonn, Germany)
As last year, our project members participated in the United
Nations Framework Convention on Climate Change (UNFCCC)
COP23 (23rd Conference of Parties) and gave presentations
on GOSAT’s research outcomes at meeting places including
Japan Pavilion organized by Japanese government.

School visit(outreach activity)

GEO14(Source: Photo from GEO's twitter)

October 23 - 26, 2017 (Washington, D.C., USA)
Also this year, our members attended the 14th annual
meeting of GEO (Group on Earth Observations), anintergovernmental organization, and gave presentations.
Pictured left is Tsuneo Matsunaga, the director of NIES’s
Satellite Observation Center, and the center is Koichi
Wakata, JAXA astronaut.

November 24, 2017 (Tsukuba,
Ibaraki, Japan)
With the cooperation of JAXA,
we visited an elementary
school in Tsukuba to givelectures to students in the
fourth grade.

JpGU (Japan Geoscience Union)- AGU (American Geophysical Union)
Joint Meeting 2017

May 20 - 25, 2017 (Makuhari Messe, Chiba, Japan)
We opened the exhibition booth. Many future researchers like high school
students visited our booth and listened to our explanation attentively.
Appeared next to our booth is NASA’s.

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NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Report on the 9th GOSAT RA PI Meeting

The 9th GOSAT RA PI meeting (the 9th PI meeting) was held at Finnish
Meteorological Institute (FMI) in Helsinki on June 9, 2017, Finland witha total of 48 attendees including 34 Principle Investigators (PIs) and
Co-Investigators (Co-Is), and project members from MOE, JAXA andNIES.
GOSAT Research Announcement (RA) related presentations were given
either at this closed meeting or at the 13th International Workshop on
Greenhouse Gas Measurement from Space (IWGGMS-13), an open
meeting held from June 6 through June 8, at each PI or Co-I’s own
request. At IWGGMS-13, there were 25 poster presentations: 6 onvalidation, 5 on algorithms, 9 on inverse modelling, 3 on applicationand 2 on Solar Induced Chlorophyll Fluorescence (SIF).
At the 9th PI meeting, we had three sessions after the plenary:(1) Validation, (2) Algorithms/Validation/Application and (3) Inverse
Modelling.

The plenary session started with welcome speeches by T. Matsunaga(NIES) and H. Suto (JAXA), and the opening remarks by H. Shimoda, avisiting professor of Tokai Univ. (the chair of the GOSAT RA Selection
and Evaluation Committee), followed by presentations on current
status of GOSAT project by Suto (JAXA), current status of GOSAT
data products by A. Kamei (NIES) and validation results of TANSOFTS SWIR (Thermal And Near-infrared Sensor for carbon Observation –Fourier Transform Spectrometer Short Wavelength Infrared) by O.
Uchino (NIES).
The Validation session had five presentations. The first presented
was N. M. Deutscher (Univ. of Wollongong) on the evaluation resultof measurement accuracy of XH₂O and XHDO acquired from Total
Carbon Column Observing Network (TCCON), which TCCON data
are being utilized in validation of TANSO-FTS SWIR XH₂O products. P.
Wennberg from California Institute of Technology reported next on thethree topics: cooperative relationship between GOSAT and OCO-2;
current GOSAT ACOS products; response of the carbon cycle to the2015-2016 El Niño. The next presentation given by X. Zhang (China
Meteorological Administration) was on the status of GHGs observationin China. Zhang introduced several observation sites in China suchas Dunhuang, a special field campaign site in the Gobi Desert forcalibration and validation, and sites where observations are conductedbased on the TCCON protocol. Zhang also explained that the dataacquired at these sites were used to validate GOSAT retrievals derived
by retrieval algorithms developed in China and reported the validation
result. The next was R. Kivi (FMI) who summarized observation
activities at Sodankylä, a TCCON site in Finland; such activities include
in-situ tower observation and in-situ AirCore observation of verticalprofiles. At the end of this session, Y. Shibata (Tokyo Metropolitan
Univ.) reported on the upgraded ground-based Differential Absorption
Lider for CO₂ (CO₂-DIAL), of which measurement accuracy was
improved by adding a wavelength for temperature measurementin addition to the two wavelengths used for the conventional CO₂-DIAL.
Algorithm/Validation/Application session had three presentations.
Presented first was C. Camy-Payret from Institut Pierre
Simon Laplace (IPSL) who reported the evaluation result of different
versions of TANSO-FTS L1B based on the comparison of XCO₂,
surface temperature and maximum optical path length differenceof each version calculated from thermal infrared (TIR) spectra of
TANSO-FTS observed over the Arctic Ocean in summer. J. Mao (Univ.
of Maryland) presented the evaluation results of their model outcomescomparing with vertical profiles measured by in-situ sensors during
ASCENDS (Active Sensing of CO₂ Emissions over Nights, Days &Seasons) airborne campaign and addressed points to be improved.
N. Eguchi (Kyushu Univ.) reported the result comparing the secularvariations of CO₂ and CH₄ at upper troposphere and lower
stratosphere retrieved from GOSAT TANSO-FTS TIR spectra withthose of airborne data and model outputs.
Inverse Modeling session had two presentations. S. Houwelingfrom Netherlands Institute for Space Research (SRON) reported oninter-comparison of CO₂ inversion analyses using GOSAT data andintroduced their ongoing project in which results of different inversion
models derived from same input data are compared. T. Aalto (FMI)
reported on the results comparing the CH₄ inversion with independent
in-situ measurements and GOSAT data. Aalto also explained
the GOSAT data assimilation results.
The 9th GOSAT meeting was ended with the closing address by
K. Isono (MOE).

Participants of the 9th GOSAT RA PI meeting (June 9th, 2017 at FMI)

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NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Major project outcomes in 2017

Press Release

Public release of whole-atmosphere monthly mean methane
concentration based on GOSAT observations
The GOSAT project released the whole-atmosphere monthly mean
concentration data of methane (CH₄) calculated using GOSAT data thatreflects CH₄ levels in all layers of atmosphere. The monthly mean CH₄
concentration was confirmed to have risen every year with the seasonal
fluctuation characterized by a maximum in late autumn to winter and aminimum in early-to mid-summer, and to reach the record of 1815 ppb inJanuary 2017. As for the trend line of the whole-atmosphere CH₄ mean
(average seasonal cycle removed), the increase rate became higher
around 2015, and it reached the record high of 1809 ppb in February
2017. The GOSAT observation elucidate for the first time the global trendof CH₄ concentration. In regard to this result, we issued a press releaseon June 2, 2017.
http://www.gosat.nies.go.jp/newpdf/GOSAT_pressrelease20170602_
jp.pdf (in Japanese)

Latest L4A product (CO2)：October, 2015

L4A product (CH4)：September, 2013
Monthly mean
(ppb)

Jan. 2009

Jan. 2011

Jan. 2013

Jan. 2015

Jan. 2017

Release of new products
1. Update of the L4A Product (CO₂/CH₄)
Level 4A global CO₂ flux product was updated with additional twoyear of data and released for the observation period from June 2009
to October 2015. Among the GOSAT data products, this dataset
can be seen as one of the most important research outcomes. As forthe product of CH₄, a similar update has been scheduled and will becompleted by the beginning of FY2018. L4A global flux is monthly
averaged flux estimates for separate regions on the globe (64 regions forCO₂ and 43 for CH₄) based on GOSAT TANSO-FTS SWIR Level 2 (L2)column-averaged gas mixing ratio data and ground-based observational
data with reference to meteorological data (e.g. wind speed anddirection).
https://data2.gosat.nies.go.jp/gallery/L4A/fluxmap/fluxmap.html
2. Update of the FTS SWIR L2 (CO₂/CH₄) Product
The latest GOSAT FTS SWIR L2 products have been released ina global map format and can be seen from the GOSAT Data Archive
Service (GDAS) site. With revisions of the algorithm, the amount of data
for the latest SWIR L2 products (V02.72) have increased about 20%
from the previous version.
https://data2.gosat.nies.go.jp/index_en.html
CO₂/CH₄ column-averaged by FTS SWIR L2（SWIR：Short Wave Infrared Red)
https://data2.gosat.nies.go.jp/gallery/fts̲l2̲swir̲co2̲gallery̲en.html
https://data2.gosat.nies.go.jp/gallery/fts̲l2̲swir̲ch4̲gallery̲en.html

GOSAT column averaged CO₂ (January
2013 - December 2017) (acquired fromGDAS website)

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NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

GOSAT PEOPLE

Introducing Young Project
Members

connects my specialty, photosynthesis withwhole-ecosystem carbon cycle throughremote-sensing studies. After the three-year
post-doc, I moved to University of Tsukuba
and developed algorithms for vegetation
products of GCOM-C1 (Global Change
Observation Mission – Climate, nicknamed“Shikisai”) satellite, which was launched in
2017.
After that, I continued to study anecosystem model under Dr. Ito at NIES andthen became a researcher at the GOSAT
project.
Q: Have you been interested in satellites
since your childhood?
N: Actually not. My main interest is still
plants. I understand that satellites are very
powerful as tools.

Hibiki Noda, Senior Researcher
Satellite Observation Center
Center for Global Environmental Research
National Institute for Environmental Studies
Question (hereafter Q): At first, I would liketo ask you about your research backgroundand role in the GOSAT project.
Noda (hereafter N): I specialize in plant
ecophysiology and vegetation remotesensing. Plant ecophysiology bridges
ecosystem function and plant physiologicalcharacteristics such as photosynthesis andrespiration by plants. When I was in Ph.D.
course, I studied the photosynthesis andrespiration traits of Japanese primrose,
Primula sieboldii, which is an endangered
species with cute pink-flowers (Photo 1) in
the Conservation Ecology Laboratory.
Originally, I was studying plant ecology,
and I was not related to satellite and remotesensing techniques at all when I was astudent. After I got my Ph.D., I worked
for 21st century COE program “Satellite
Ecology for Basin Ecosystem Studies” at
Gifu University as a post-doc. The Satellite
Ecology project tried to link remote-sensing
techniques with ecological studies. I
expanded my study to a research which

Q: GOSAT has been in the extended
operation phase and GOSAT-2 is scheduled
to be launched in FY 2018. In addition, thediscussion of GOSAT-3 design was alreadystarted. Please tell me about your dream forthe future of the GOSAT series.

N: Satellite projects require long time fromplanning to launching satellites. On the other
hand, satellite lifetimes are not so long. The
GOSAT lifetime is designed for five years.
GOSAT is demanded for environmental
policy, so its continuing observation is very
important. We always need to act with aneye towards the future.
Recently it has been shown that GOSAT
can be used to detect Solar Induced
Chlorophyll Fluorescence (SIF) and a lot of
ecologists have been interested in it and theuse of GOSAT data can be widely spreadin various study fields. However, there is stilla large gap between the satellite remotesensing and plant ecology because theinterdisciplinary research has not been
fulfilled yet. I hope that we cooperate witheach other and use the satellite data, which
is a powerful tool for environmental studies.
Q: So, can we expect that GOSAT has
a wonderful function to connect various
researchers from different fields?

<Photo 1: Primroses in Hidaka, Hokkaido>

6­­

N: Yes, we can do large-scale researchthrough interdisciplinary collaborations.
The importance and function of plants andvegetation would be easy to understand forpeople who are not researchers. So, I hopethat SIF research serves as a starting point
to attract people to environmental issues
and the roles of the satellites.
Q: Could you explain “Solar Induced
Chlorophyll Fluorescence (SIF)” observed
from GOSAT? What’s the difference fromvegetation monitoring using generalsatellites?
N: In the photosynthesis process, chlorophyll,a pigment in mesophylls absorbs lightenergy and converts it to chemical energy toassimilate carbon dioxide. Often chlorophyll
absorbs too much light and the extra energy
damages cells. To avoid the damage,chlorophyll spends the extra energy byemitting heat and weak light, so-called“chlorophyll fluorescence.” Since chlorophyll
fluorescence is weak radiation in red andnear-infrared regions, it is invisible for human
eye in normal situations, such as under solar
radiation. By using dark lines in solar spectra(Fraunhofer lines) observed at Band 1 of
the TANSO Fourier Transform Spectrometer(FTS) onboard GOSAT, we can detect SIF,
i.e., the chlorophyll fluorescence under solar
light. In fact, SIF was an obstacle for the
primary purpose of GOSAT. However, in
2011, NASA researchers revealed that SIF
can be retrieved from the GOSAT data andit could be a good index for photosynthesis
activities. Those studies made plant
ecologists excited, “Photosynthesis activities
can be monitored from space!” I was also
one of them, “I want to use these data!”
Finally, I joined the GOSAT project.
In general, vegetation indices such as
NDVI (Normalized Difference Vegetation
Index) and EVI (Enhanced Vegetation
Index) are used for remote-sensingof vegetation structure and/or function.
Roughly speaking, such indices strongly
related to the quantity of leaves above
ground.
Although NDVI and EVI are useful, theysaturate if the quantity of leaves increases

NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

This is also true for male researchers.
Sometimes I feel that some people giveup easily using the fact that we cannotchange with effort (being a man or a woman)as an excuse. For instance, even somehigh school teachers assume that female
students are not good at mathematics andphysics.

to an extent (Figure 1). In other words,
both ordinal temperate-forest in Japan anddense tropical rain forest could show thesame values. In addition, NDVI and EVI
don’t indicate photosynthesis activities. SIF
is better than NDVI as a photosynthesis
activity index. This band on GOSAT-2 will beslightly improved and SIF will be newly
released as its L2 product.

Figure 1. Relationships between LAI (Leaf
Area Index) estimated from a radiative transfer
model, SAIL (Scattering by Arbitrarily Inclined
Leaves; Verhoef 1984) and NDVI or EVI.
Although both NDVI and EVI increase as
leaves quantity increases, they saturate at a
certain value.

Q: Finally, could you give some messages toour readers?
N: Even though we thought that SIF was anoise at first, its study has been developing.
Like that, bringing new perspectives into
existing things could expand to a newresearch. I hope that we always have wide
and open viewpoints and break out ofstereotypes. Also, we would like to continue
to be an open research group.

Q: In the GOSAT project, many members
are trying to make efforts with their expert
knowledge. What do you think about how
experienced members are making use of
their experience and how young members
are playing active roles in the project?
N: Each member has his/her own
specialties. Each member is working hardusing each technical knowledge. We respect
the specialty each other. Dr. Matsunaga
provides precise instructions to us and weare judging by ourselves based on our own
experience to proceed with the project.
Q: Do you have any advice for women whochose research as their job?
N: I think, when we face something difficult,
we shouldn’t excuse the fact we are women.

(Interviewer: Katsunori Hirokane, NIES GOSAT Project)

Number of GOSAT RA proposals
and published peer-reviewed papers
Selected RA proposals per
research ﬁeld

Field of Research

Selected RA
ThemesCalibration

4

Algorithm

22

Validation

30

Carbon Balance
Estimation/AtmosphericTransport Models
Data Application
Data App./Validation

17
51
2

Carbon Balance
Estimation/AtmosphericTransport Models& Data App.

1

Total

127

Table 2

Table 3

Selected RA proposals per
countryCountry

Selected RA
Themes

Japan

36

USA

22

Germany

10

China

7

Canada5

France5Netherlands

5

UK

5

Russia4

Finland4

Others

24

Total

127

Number of
Published Papers

Fig. 2
60
50
40

48

Number of Published Papers not using GOSAT
data directly

2007

51
46

46

Total number of published papers by year
合計

50

40

33
30

Total: 339 papers

13
1

10
2
2

2007

5

12

4

22

48
45

46

25

20

16

10
6

2009

45

15

5

2008

30

50

19

20

0

Blue Red Total

60

54

Number of Published Papers using GOSAT data

Number of Published Papers

Table 1

2010

2011

8

2012

4

3

1

3

0

2013

2014

2015

2016

2017

0

2

0

2

2008
5 papers
05
Published
per12
year1 13
2009
2010

15

4

19

2011

6

16

22

2012

8

25

33

2013

4

50

54

2014

3

45

48

2015

1

45

46

2016

3

48

51

2017

0

46

46

59 280 339

Year

The number of selected GOSAT RA proposals is shown in the left two tables above (per research field and per country of researchorganization). The total number is 127 proposals in 25 countries.
As shown in Fig. 2 and Table 3, the number of peer-reviewed published papers related to GOSAT increased rapidly until 2013, laterremained unchanged at around 50 papers per year, and still keep going.

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NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

PUBLISHED PAPERS

List of papers published in 2016 and 2017

N.B.: Sort by year of publication

Journal: Spectroscopy and Spectral Analysis (36(1), 186-190, 2016)
Title: Errors analysis and correction in atmospheric methane retrieval
based on Greenhouse Gases Observing Satellite data
Authors: Bu, T. T., Wang, X. H., Ye, H. H., Jiang, X. H.
Journal: J. Geophys. Res.-Atmos. (121(23), 14084-14101, 2016)
Title: Simultaneous retrieval of aerosol optical thickness andchlorophyll concentration from multiwavelength measurement overEast China Sea
Authors: Shi, C., Nakajima, T., Hashimoto, M.
Journal: Atmos. Meas. Tech. (9(12), 5975-5996, 2016)
Title: Thermal infrared laser heterodyne spectroradiometry for solar
occultation atmospheric CO2 measurements
Authors: Hoffmann, A., Macleod, N. A., Huebner, M., Weidmann, D.
Journal: Remote Sens. (8(12), 994, 2016)
Title: Retrieving XCO2 from GOSAT FTS over East Asia using
simultaneous aerosol information from CAI
Authors: Kim, W., Kim, J., Jung, Y., Boesch, H., Lee, H., Lee, S.,
Goo, T.-Y., Jeoing, U., Kim, M., Cho, C.-H., Ou, M.-L.
Journal: Remote Sens. (8(12), 998, 2016)
Title: A modified aerosol free vegetation index algorithm for aerosol
optical depth retrieval using GOSAT TANSO-CAI data
Authors: Zhong, G., Wang, X., Tani, H., Guo, M., Chittenden, A. R.,
Yin, S., Sun, Z., Matsumura, S.
Journal: Atmospheric Environment (147, 344-354, 2016)
Title: Seasonal variation of the O₃-CO correlation derived from remotesensing measurements over western Japan
Authors: Ohyama, H., Kawakami, S., Uchino, O., Sakai, T., Morino, I.,
Nagai, T., Shiomi, K., Sakashita, M., Akaho, T., Okumura, H., Arai, K.
Journal: Atmos. Chem. Phys. (16(22), 14371-14396, 2016)
Title: Satellite observations of atmospheric methane and their value
for quantifying methane emissions
Authors: Jacob, D. J., Turner, A. J., Maasakkers, J. D., Sheng, J.,
Sun, K., Liu, X., Chance, K., Aben, I., McKeever, J., Frankenberg, C.
Journal: J. Geophys. Res.-Atmos. (121(21), 13066-13087, 2016)
Title: Comparison between the Local Ensemble Transform Kalman
Filter (LETKF) and 4D-Var in atmospheric CO2 flux inversion with the
Goddard Earth Observing System-Chem model and the observation
impact diagnostics from the LETKF
Authors: Liu, J., Bowman, K. W., Lee, M.

Journal: J. Geophys. Res.-Atmos. (121(18), 11006-11020, 2016)
Title: CH₄ concentrations over the Amazon from GOSAT consistent
with in situ vertical profile data
Authors: Webb, A. J., Bösch, H., Parker, R. J., Gatti, L. V., Gloor,
E., Palmer, P. I., Basso, L. S., Chipperfield, M. P., Correia, C. S. C.,
Domingues, L. G., Feng, L., Gonzi, S., Miller, J. B., Warneke, T.,
Wilson, C.
Journal: Atmos. Meas. Tech. (9(9), 4633-4654, 2016)
Title: Potential of a geostationary geoCARB mission to estimate
surface emissions of CO2, CH4 and CO in a polluted urban
environment: case study Shanghai
Auhtors: O'Brien, D. M., Polonsky, I. N., Utembe, S. R., Rayner, P. J.
Journal: Atmosphere (7(9), 109, 2016)
Title: Intercomparison of carbon dioxide products retrieved fromGOSAT short-wavelength infrared spectra for three years (2010-2012)
Authors: Deng, A., Yu, T., Cheng, T., Gu, X., Zheng, F., Guo, H.
Journal: Atmos. Chem. Phys. (16(16), 10399-10418, 2016)
Title: A biogenic CO2 flux adjustment scheme for the mitigation oflarge-scale biases in global atmospheric CO2 analyses and forecasts
Authors: Agusti-Panareda, A., Massart, S., Chevallier, F., Balsamo, G.,
Boussetal, S., Dutra, E., Beljaars, A.
Journal: Agricultural and Forest Methodology (224, 1-10, 2016)
Title: Seasonal and interannual changes in vegetation activity oftropical forests in Southeast Asia
Authors: Zhang, Y., Zhu, Z., Liu, Z., Zeng, Z., Ciais, P., Huang, M.,
Liu, Y., Piao, S.
Journal: Atmos. Chem. Phys. (16(15), 10111-10131, 2016)
Title: Atmospheric CH4 and CO2 enhancements and biomass burningemission ratios derived from satellite observations of the 2015
Indonesian fire plumes
Authors: Parker, R. J., Boesch, H., Wooster, M. J., Moore, D. P.,
Webb, A. J., Gaveau, D., Murdiyarso, D.
Journal: Atmos. Meas. Tech. (9(8), 3567-3576, 2016)
Title: Satellite observation of atmospheric methane: intercomparison
between AIRS and GOSAT TANSO-FTS retrievals
Authors: Zou, M., Saitoh, N., Warner, J., Zhang, Y., Chen, L., Weng,
F., Fan, M.
Journal: Atmos. Meas. Tech. (9(8), 3491-3512, 2016)
Title: Bias corrections of GOSAT SWIR XCO2 and XCH4 with TCCON
data and their evaluation using aircraft measurement data
Authors: Inoue, M., Morino, I., Uchino, O., Nakatsuru, T., Yoshida, Y.,
Yokota, T., Wunch, D., Wennberg, O. P., Roehl, C. M., Griffith D. W. T.,
Velazco, V. A., Deutscher, N. M., Warneke, T., Notholt, J., Robinson, J.,
Sherlock, V., Hase, F., Blumenstock, T., Rettinger, M., Sussmann, R.,
Kyrö, E., Kivi, R., Shiomi, K., Kawakami, S., De Mazière, M., Arnold,
S. G., Feist, D. G., Barrow, E. A., Barney, J., Dubey, M., Schneider,
M., Iraci, L. T., Podolske, J. R., Hillyard, P. W., Machida, T., Sawa, Y.,
Tsuboi, K., Matsueda, H., Sweeney, C., Tans, P. P., Andrews, A. E.,
Biraud, S. C., Fukuyama, Y., Pittman, J. V., Kort, E. A., Tanaka, T.

Journal: J. Geophys. Res.-Atmos. (121(21), 13129-13157, 2016)
Title: An advanced retrieval algorithm for greenhouse gases using
polarization information measured by GOSAT TANSO-FTS SWIR I:
Simulation study
Authors: Kikuchi, N., Yoshida, Y., Uchino, O., Morino, I., Yokota, T.
Journal: Sci. China Earth Sci. (59(11), 2252-2259, 2016)
Title: XCO₂ satellite retrieval experiments in short-wave and infrared
spectra with SCIATRAN model for Sahara Desert
Authors: Li, Y.-F., Zhang, C.-M., Dai, H.-S., Zhang, X.-Y., Zhang, P.
Journal: Environ. Res. Lett. (11(10), 105001, 2016)
Title: Inter-annual variability of summertime CO2 exchange in NorthernEurasia inferred from GOSAT XCO2
Authors: Ishizawa, M., Mabuchi, K., Shirai, T., Inoue, M., Morino, I.,
Uchino, O., Yoshida, Y., Belikov, D., Maksyutov, S.

8­­

Journal: IEEE T. Geosci. Remote Sens. (54(8), 4367-4375, 2016)
Title: Two-year comparison of airborne measurements of CO2 andCH4 with GOSAT at Railroad Valley, Nevada
Authors: Tanaka, T., Yates, E., Iraci, L. T., Johnson, M. S., Gore, W.,
Tadic, J. M., Loewenstein, M., Kuze, A., Frankenberg, C., Butz, A.,
Yoshida, Y.

NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Journal: J. Atmospheric and Oceanic technology (33(7), 1443-1453,
2016)
Title: Radiometric comparison of 1.6 µm CO2 absorption band ofGreenhouse Gases Observing Satellite (GOSAT) TANSO-FTS with
Suomi-NPP VIIRS SWIR band
Authors: Uprety, S., Cao, C.
Journal: J. Geophys. Res.-Atmos. (121(9), 5031-5050, 2016)
Title: Methane and carbon dioxide total column retrievals from cloudy
GOSAT soundings over the oceans
Authors: Schepers, D., Butz, A., Hu, H., Hasekamp, O. P., Arnold,
S. G., Schneider, M., Feist, D. G., Morino, I., Pollard, D., Aben, I.,
Landgraf, J.
Journal: Remote Sens. (8(5), 361, 2016)
Title: Geostatistical analysis of CH4 columns over Monsoon Asia
using five years of GOSAT observations
Authors: Liu, M., Lei, L., Liu, D., Zeng, Z.-C.
Journal: Atmospheric Environment (132, 309-316, 2016)
Title: On the effect of spatial variability and support on validation of
remote sensing observations of CO2
Authors: Tadic, J. M., Michalak, A. M.
Journal: Geophys. Res. Lett. (43(7), 3486-3493, 2016)
Title: Comparing GOSAT observations of localized CO2enhancements by large emitters with inventory-based estimates
Authors: Janardanan, R., Maksyutov, S., Oda, T., Saito, M., Kaiser, J.
W., Ganshin, A., Stohl, A., Matsunaga, T., Yoshida, Y., Yokota T.
Journal: Remote Sens. (8(4), 322, 2016)
Title: Impact of aerosol property on the accuracy of a CO2 retrieval
algorithm from satellite remote sensing
Authors: Jung, Y., Kim, J., Kim, W., Boesch, H., Lee, H., Cho, C.,
Goo, T.-Y.
Journal: Geophys. Res. Lett. (43(5), 2218-2224, 2016)
Title: A large increase in U.S. methane emissions over the past
decade inferred from satellite data and surface observations
Authors: Turner, A. J., Jacob, D.J., Benmergui, J., Wofsy, S.C.,
Maasakkers, J. D., Butz, A., Hasekamp, O., Biraud, S. C.
Journal: Int. J. Remote. Sens. (37(5), 115-1126, 2016)
Title: Difference between forward- and backward-looking bands of
GOSAT-2 CAI-2 cloud discrimination used with Terra MISR data
Authors: Oishi, Y., Nakajima, T. Y., Matsunaga, T.
Journal: Science Bulletin (61(5), 349-352, 2016)
Title: Advancements in theory of GHG observation from space
Authors: Liu, Y., Yang, D.
Name of Journal: J. Geophys. Res.-Atmos. (121(4), 1896-1913,
2016)
Title: Combining GOSAT XCO2 observations over land and ocean to
improve regional CO2 flux estimates
Authors: Deng, F., Jones, D. B. A., O’Dell, C. W., Nassar, R.,
Parazoo, N. C.
Journal: Optik (127(20), 8613-8620, 2016)
Title: The retrieval algorithm for a satellite-borne CO2-sounder:
Preliminary results in near infrared band
Authors: Liu, D., Zhang, C., Li, Y., Zhang, X., Wang, S., Zhang, L.,
Zhang, P., Chen, J., Rong, P.
Journal: J. Meteorological Society of Japan (94(5), 415-430, 2016)
Title: Relationships between CO2 flux estimated by inverse analysis
and land surface elements in South America and Africa
Authors: Mabuchi, K., Takagi, H., Maksyutov, S.

Journal: Atmos. Chem. Phys. (16(14), 9089-9108, 2016)
Title: Can we detect regional methane anomalies? A comparison
between three observing systems
Authors: Cressot, C., Pison, I., Rayner, P. J., Bousquet, P., Fortems
Cheiney, A., and Chevallier, F.
Journal: Atmos. Chem. Phys. (16(14), 9149-9161, 2016)
Title: Large XCH4 anomaly in summer 2013 over Northeast Asia
observed by GOSAT
Authors: Ishizawa, M., Uchino, O., Morino, I., Inoue, M., Yoshida,Y., Mabuchi, K., Shirai, T., Tohjima, Y., Maksyutov, S., Ohyama, H.,
Kawakami, S., Takizawa, A., Belikov, D.
Journal: SOLA (12, 181-186, 2016)
Title: The effect of GOSAT observations on estimates of net CO2 flux
in semi-arid regions of the Southern Hemisphere
Authors: Kondo, M., Saeki, T., Takagi, H., Ichii, K., Ishijima, K.
Journal: Atmos. Chem. Phys. (16(12), 7867-7878, 2016)
Title: Using airborne HIAPER Pole-to-Pole Observations (HIPPO) toevaluate model and remote sensing estimates of atmospheric carbon
dioxideAuthors: Frankenberg, C., Kulawik, S. S., Wofsy, S. C., Chevallier, F.,
Daube, B., Kort, E. A., O’Dell, C., Olsen, E. T., Osterman, G.
Journal: Atmos. Meas. Tech. (9(6), 2445-2461, 2016)
Title: Update on GOSAT TANSO-FTS performance, operations, anddata products after more than 6 years in space
Authors: Kuze, A., Suto, H., Shiomi, K., Kawakami, S., Tanaka, M.,
Ueda, Y., Deguchi, A., Yoshida, J., Yamamoto, Y., Kataoka, F., Taylor, T.
E., and Buijs, H. L.
Journal: Geoscientific Instrumentation Methods and Data Systems(5(2), 271-279, 2016)
Title: Fourier transform spectrometer measurements of column CO2
at Sodankylä, Finland
Authors: Kivi, R., Heikkinen, P.
Journal: Atmos. Chem. Phys. (16(10), 6175-6190, 2016)
Title: Constraints on methane emissions in North America from future
geostationary remote-sensing measurements
Authors: Bousserez, N., Henze, D. K., Rooney, B., Perkins, A.,
Wecht, K. J., Turner, A. J., Natraj, V., Worden, J. R.
Journal: Atmos. Meas. Tech. (9(5), 1961-1980, 2016)
Title: Methane cross-validation between three Fourier transform
spectrometers: SCISAT ACE-FTS, GOSAT TANSO-FTS, and groundbased FTS measurements in the Canadian high Arctic
Authors: Holl, G., Walker, K. A., Conway, S., Saitoh, N., Boone, C. D.,
Strong, K., Drummond, J. R.
Journal: Atmos. Meas. Tech. (9(5), 1981-1992, 2016)
Title: A development of cloud top height retrieval using thermal
infrared spectra observed with GOSAT and comparison with CALIPSO
data
Authors: Someya, Y., Imasu, R., Saitoh, N., Ota, Y., Shiomi, K.
Journal: Atmos. Meas. Tech. (9(5), 2119-2134, 2016)
Title: Algorithm update of the GOSAT/TANSO-FTS thermal infrared
CO₂ product (version 1) and validation of the UTLS CO₂ data using
CONTRAIL measurements
Authors: Saitoh, N., Kimoto, S., Sugimura, R., Imasu, R., Kawakami,S., Shiomi, K., Kuze, A., Machida, T., Sawa, Y., Matsueda, H.
Journal: Optik (127(16), 6479-6483, 2016)
Title: XCO₂ retrieval algorithm in short-wave infrared spectrum andvalidation with TCCON data
Authors: Li, Y., Zhang, C., Liu, D., Chen, J., Rong, P., Zhang, X.,
Wang, S.

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NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Journal: Atmos. Chem. Phys. (16(8), 5043-5062, 2016)
Title: Inverse modeling of GOSAT-retrieved ratios of total column CH4
and CO2 for 2009 and 2010
Authors: Pandey, S., Houweling, S., Krol, M., Aben, I., Chevallier, F.,
Dlugokencky, E. J., Gatti, L. V., Gloor, E., Miller, J. B., Detmers, R.,
Machida, T., Röckmann, T.

Journal: Remote Sens. (9(1), 64, 2017)
Title: Intercomparison of XH2O data from the GOSAT TANSO-FTS(TIR and SWIR) and ground-based FTS measurements: Impact of thespatial variability of XH2O on the intercomparison
Authors: Ohyama, H., Kawakami, S., Shiomi, K., Morino, I., Uchino,
O.

Journal: Atmos. Meas. Tech. (9(2), 683-709, 2016)
Title: Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY,
CarbonTracker, and MACC through comparisons to TCCON
Authors: Kulawik, S., Wunch, D., O’Dell, C., Frankenberg, C., Reuter,
M., Oda, T., Chevallier, F., Sherlock, V., Buchwitz, M., Osterman, G.,
Miller, C. E., Wennberg, P. O., Griffith, D., Morino, I., Dubey, M. K.,
Deutscher, N. M., Notholt, J., Hase, F., Warneke, T., Sussmann, R.,
Robinson, J., Strong, K., Schneider, M., De Mazière, M., Shiomi, K.,
Feist, D. G., Iraci, L. T., Wolf, J.

Journal: International J. Digital Earth (10(4), 426-456, 2017)
Title: Global land mapping of satellite-observed CO2 total columns
using spatio-temporal geostatistics
Authors: Zeng, Z.-C., Lei, L., Strong, K., Jones, D. B. A., Guo, L.,
Liu, M., Deng, F., Deutscher, N. M., Dubey, M. K., Griffith, D. W. T.,
Hase, F., Henderson, B., Kivi, R., Lindenmaier, R., Morino, I., Notholt,J., Ohyama, H., Petri, C., Sussmann, R., Velazco, V. A., Wennberg, P.
O., Lin, H.

Journal: Atmos. Meas. Tech. (9(3), 1415-1430, 2016)
Title: Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode
retrievals using TCCON data from near-ocean sites
Authors: Zhou, M., Dils, B, Wang, P., Detmers, R., Yoshida, Y., O’Dell,
C. W., Feist, D. G., Velazco, V. A., Schneider, M., De Mazière, M.
Journal: Atmos. Meas. Tech. (9(4), 1671-1684, 2016)
Title: The potential of clear-sky carbon dioxide satellite retrievals
Authors: Nelson, R. R., O’Dell, C. W., Taylor, T. E., Mandrake, L.,
Smyth, M.

Journal: Atmos. Chem. Phys. (17(1), 143-157, 2017)
Title: Study of the footprints of short-term variation in XCO2 observedby TCCON sites using NIES and FLEXPART atmospheric transportmodelsAuthors: Belikov, D. A., Maksyutov, S., Ganshin, A., Zhuravlev, R.,
Deutscher, N. M., Wunch, D., Feist, D. G., Morino, I., Parker, R. J.,
Strong, K., Yoshida, Y., Bril, A., Oshchepkov, S., Boesch, H., Dubey,
M. K., Griffith, D., Hewson, W., Kivi, R., Mendonca, J., Notholt, J.,
Schneider, M., Sussmann, R., Velazco, V. A., Aoki, S.
Journal: Sci. China Earth Sci. (60(2), 286-296, 2017)
Title: An improved constraint method in optimal estimation of CO2
from GOSAT SWIR observations
Authors: Zou, M.-M, Chen, L.-F., Li, S.-S., Fan, M., Tao, J.-H.,
Zhang, Y.

Journal: Optik (127(10), 4422-4425, 2016)
Title: CO2 retrieval model and analysis in short-wave infrared
spectrum
Authors: Lia, Y., Zhang, C., Liu, D., Chen, J., Rong, P., Zhang, X.,
Wang, S.
Journal: Atmos. Chem. Phys. (16(3), 1289-1302, 2016)
Title: Estimates of European uptake of CO2 inferred from GOSAT
XCO2 retrievals: sensitivity to measurement bias inside and outside
EuropeAuthors: Feng, L., Palmer, P. I., Parker, R. J., Deutscher, N. M., Feist,
D. G., Kivi, R., Morino, I., Sussmann, R.
Journal: Atmos. Chem. Phys. (16(3), 1653-1671, 2016)
Title: Ability of the 4-D-Var analysis of the GOSAT BESD XCO₂
retrievals to characterize atmospheric CO2 at large and synoptic
scalesAuthors: Massart, S., Agusti-Panareda, A., Heymann, J., Buchwitz,
M., Chevallier, F., Reuter, M., Hilker, M., Burrows, J. P., Deutscher, N.
M., Feist, D. G., Hase, F., Sussmann, R., Desmet, F., Dubey, M. K.,
Griffith, D. W. T., Kivi, R., Petri, C., Schneider, M., Velazco, V. A.

Journal: Remote Sens. (9(2), 142, 2017)
Title: Multivariate spatial data fusion for very large remote sensing
datasets
Authors: Nguyen, H., Cressie, N., Braverman, A.
Journal: Atmos. Chem. Phys. (17(3), 1865-1879, 2017)
Title: Lidar detection of high concentrations of ozone and aerosol
transported from northeastern Asia over Saga, Japan
Authors: Uchino, O., Sakai, T., Izumi, T., Nagai, T., Morino, I.,
Yamazaki, A., Deushi, M., Yumimoto, K., Maki, T., Tanaka, T. Y.,
Akaho, T., Okumura, H., Arai, K., Nakatsuru, T., Matsunaga, T.,
Yokota, T.
Journal: Geoscientific Model Development (10(2), 709-720, 2017)
Title: Spatio-temporal approach to moving window block kriging ofsatellite data v1.0
Authors: Tadic, J. M., Qiu, X., Miller, S., Michalak, A. M.

Journal: Remote Sens. (8(12), 982, 2016)
Title: Comparison of XH2O retrieved from GOSAT short-wavelength
infrared spectra with observations from the TCCON Network
Authors: Dupuy, E., Morino, I., Deutscher, N. M., Yoshida, Y.,
Uchinno, O., Connor, B. J., De Mazière, M., Griffith, D. W. T., Hase,
F., Heikkinen, P., Hillyard, P. W., Iraci, L. T., Kawakami, S., Kivi, R.,
Matsunaga, T., Notholt, J., Petri, C., Podolske, J. R., Pollard, D. F.,
Rettinger, M., Roehl, C. M., Sherlock, V., Sussmann, R., Toon, G. C.,
Velazco, V. A., Warneke, T, Wennberg, P. O., Wunch, D., Yokota, T.
Journal: IEEE Geosci. Remote Sensing Lett. (14(1), 77-81, 2017)
Title: Interpreting temporal changes of atmospheric CO2 over fire
affected regions based on GOSAT observations
Authors: Shi, Y., Matsunaga, T., Noda, H.
Journal: Sci. China Earth Sci. (60(1), 143-155, 2017)
Title: A high-accuracy method for simulating the XCO2 global
distribution using GOSAT retrieval data
Authors: Zhao, M.W., Zhang, X.-Y., Yue, T.-X., Wang, C., Jiang, L.,
Sun, J.-L.

10­­

Journal: Remote Sens. (9(3), 251, 2017)
Title: A data-driven assessment of biosphere-atmosphere interaction
impact on seasonal cycle patterns of XCO2 using GOSAT and MODIS
observations
Authors: He, Z., Zeng, Z.-C., Lei, L., Bie, N., Yang, S.
Journal: J. Quantitative Spectroscopy & Radiative Transfer (189,258-266, 2017)
Title: EOF-based regression algorithm for the fast retrieval of
atmospheric CO2 total column amount from the GOSAT observations
Authors: Bril, A., Maksyutov, S., Belikov, D., Oshchepkov, S.,
Yoshida, Y., Deutscher, N. M., Griffith, D., Hase, F., Kivi, R., Morino, I.,
Notholt, J., Pollard, D. F., Sussmann, R., Velazco, V. A., Warneke, T.

NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Journal: Geoscientific Model Development (10(3), 1261-1289, 2017)
Title: Global methane emission estimates for 2000–2012 from
CarbonTracker Europe-CH4 v1.0
Authors: Tsuruta, A., Aalto, T., Backman, L., Hakkarainen, J., vander Laan-Luijkx, I. T., Krol, M. C., Spahni, R., Houweling, S., Laine,M., Dlugokencky, E., Gomez-Pelaez, A. J., van der Schoot, M.,
Langenfelds, R., Ellul, R., Arduini, J., Apadula, F., Gerbig, C., Feist, D.
G., Kivi, R., Yoshida, Y., Peters, W.
Journal: Bulletin of the American Meteorological Society (98(4), 665671, 2017)
Title: How much CO2 is taken up by the European terrestrial
biosphere?
Authors: Reuter, M., Buchwitz, M., Hilker, M., Heymann, J.,
Bovensmann, H., Burrows, J. P., Houweling, S., Liu, Y. Y., Nassar, R.,
Chevallier, F., Ciais, P., Marshall, J., Reichstein, M.
Journal: Remote Sens. (9(4), 378, 2017)
Title: Detection of absorbing aerosol using single near-UV radiancemeasurements from Cloud and Aerosol Imager
Authors: Go, S., Kim, M., Kim, J., Park, S. S., Jeong, U., Choi, M.
Journal: J. Geophys. Res.-Biogeo. (122(4), 767-795, 2017)
Title: New data-driven estimation of terrestrial CO2 fluxes in Asia
using a standardized database of eddy covariance measurements,
remote sensing data, and support vector regression
Authors: Ichii, K., Ueyama, M., Kondo, M., Saigusa, N., Kim, J.,
Alberto, M. C., Ardö, J., Euskirchen, E. S., Kang, M., Hirano, T.,
Joiner, J., Kobayashi, H., Belelli Marchesini, L., Merbold, L., Miyata, A.,
Saitoh, T. M., Takagi, K., Varlagin, A., Bret-Harte, M. S., Kitamura, K.,
Kosugi, Y., Kotani, A., Kumar, K., Li, S.-G., Machimura, T., Matsuura,Y., Mizoguchi, Y., Ohta, T., Mukherjee, S., Yanagi, Y., Yasuda, Y.,
Zhang, Y., Zhao, F.
Journal: Scientific Reports (7, 45759, 2017)
Title: Enhanced methane emissions from tropical wetlands during the2011 La Niña
Authors: Pandey, S., Houweling, S., Krol, M., Aben, I., Monteil, G.,
Nechita-Banda, N., Dlugokencky, E. J., Detmers, R., Hasekamp, O.,
Xu, X., Riley, W. J., Poulter, B., Zhang, Z., McDonald, K. C., White, J. W.
C., Bousquet, P., Röckmann, T.
Journal: Atmos. Chem. Phys. (17(7), 4781-4797, 2017)
Title: Consistent regional fluxes of CH4 and CO2 inferred from GOSAT
proxy XCH4 : XCO2 retrievals, 2010–2014
Authors: Feng, L., Palmer, P. I., Bösch, H., Parker, R. J., Webb, A. J.,
Correia, C. S. C., Deutscher, N. M., Domingues, L. G., Feist, D. G.,
Gatti, L. V., Gloor, E., Hase, F., Kivi, R., Liu, Y., Miller, J. B., Morino, I.,
Sussmann, R., Strong, K., Uchino, O., Wang, J., Zahn, A.
Journal: Atmos. Chem. Phys. (17(8), 5407-5438, 2017)
Title: Lower-tropospheric CO2 from near-infrared ACOS-GOSAT
observations
Authors: Kulawik, S. S., O’Dell, C., Payne, V. H., Kuai, L., Worden, H.
M., Biraud, S. C., Sweeney, C., Stephens, B., Iraci, L. T., Yates, E. L.,
Tanaka, T.
Journal: J. Geophys. Res.-Atmos. (122(8), 4746-4759, 2017)
Title: Summertime upper tropospheric nitrous oxide over theMediterranean as a footprint of Asian emissions
Authors: Kangah, Y., Ricaud,P., Attié J.-L., Saitoh N., Hauglustaine, D.
A., Wang, R., El Amraoui, L., Zbinden, R., Delon, C.
Journal: Natural Resources Forum (41(2), 83-91, 2017)
Title: Assessment of seasonal variations of carbon dioxide
concentration in Iran using GOSAT data
Authors: Mousavi, S. M., Falahatkar, S., Farajzadeh, M.

Journal: Atmosphere (8(5), 85, 2017)
Title: The Temporal and spatial distributions of the near-surface CO2
concentrations in Central Asia and analysis of their controlling factors
Authors: Cao, L., Chen, X., Zhang, C., Kurban, A., Yuan, X., Pan, T.,
D. Maeyer, P.
Journal: J. Geophys. Res.-Biogeo. (122(5), 1137-1155, 2017)
Title: Satellite-derived methane emissions from inundation in
Bangladesh
Authors: Peters, C. N., Bennartz, R., Hornberger, G. M.
Journal: Remote Sens. (9(6), 524, 2017)
Title: A dark target algorithm for the GOSAT TANSO-CAI sensor inaerosol optical depth retrieval over land
Authors: Zhong, G., Wang, X., Guo, M., Tani, H., Chitteden, A. R.,
Yin, S., Sun, Z., Matsumura, S.
Journal: Atmos. Chem. Phys. (17(11), 6663-6678, 2017)
Title: Extending methane profiles from aircraft into the stratospherefor satellite total column validation using the ECMWF C-IFS andTOMCAT/SLIMCAT 3-D model
Authors: Verma, S., Marshall, J., Parrington, M., Agusti-Panareda, A.,
Massart, S., Chipperfield, M. P., Wilson, C., Gerbig, C.
Journal: J. Geophys. Res.-Atmos. (122(12), 6672-6694, 2017)
Title: Sensitivity of CO2 surface flux constraints to observational
coverage
Authors: Byrne, B., Jones, D. B. A., Strong, K., Zeng, Z.-C., Deng, F.,
Liu, J.
Journal: J. Geophys. Res.-Atmos. (122(12), 6347-6378, 2017)
Title: Development of a remote sensing algorithm to retrieve
atmospheric aerosol properties using multiwavelength and multipixel
information
Authors: Hashimoto, M., Nakajima, T.
Journal: Atmospheric Environments (160, 176-185, 2017)
Title: CMAQ simulation of atmospheric CO2 concentration in
East Asia: Comparison with GOSAT observations and groundmeasurements
Authors: Li, R., Zhang, M., Chen, L., Kou, X., Skorokhod, A.
Journal: Environmental Pollution (226, 60-68, 2017)
Title: CO2 emissions from the 2010 Russian wildfires using GOSAT
data
Authors: Guo, M., Li, J., Xu, J., Wang, X., He, H., Wu, L.
Journal: Remote Sens. (9(7), 687, 2017)
Title: Aerosol property retrieval algorithm over Northeast Asia fromTANSO-CAI measurements onboard GOSAT
Authors: Lee, S., Kim, M., Choi, M., Go, S., Kim, J., Kim, J.-H., Lim,
H.-K., Jeong, U., Goo, T.-Y., Kuze, A., Shiomi, K. Yokota, T.
Journal: Atmos. Meas. Tech. (10(7), 2627-2643, 2017)
Title: Investigating the performance of a greenhouse gas observatory
in Hefei, China
Authors: Wang, W., Tian, Y., Liu, C., Sun, Y., Liu, W., Xie, P., Liu,J., Xu, J., Morino, I., Velazco, V. A., Griffith, D. W. T., Notholt, J.,
Warneke, T.
Journal: Remote Sens. (9(8), 835, 2017)
Title: Challenges in methane column retrievals from AVIRIS-NG
imagery over spectrally cluttered surfaces: A sensitivity analysis
Authors: Zhang, M., Leifer, I., Hu, C.
Journal: Advances in Atmospheric Sciences (34(8), 965-976, 2017)
Title: Monitoring carbon dioxide from space: Retrieval algorithm andflux inversion based on GOSAT data and using CarbonTracker-China
Authors: Yang, D., Zhang, H., Liu, Y., Chen, B., Cai, Z., Lü, D.

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NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

Journal: Remote Sens. (9(8), 941, 2017)
Title: Assessment of anthropogenic methane emissions over large
regions based on GOSAT observations and high resolution transportmodeling
Authors: Janardanan, R., Maksyutov, S., Ito, A., Yoshida, Y.,
Matsunaga, T.

Journal: Atmos. Meas. Tech. (10(11), 4135-4164, 2017)
Title: Global height-resolved methane retrievals from the Infrared
Atmospheric Sounding Interferometer (IASI) on MetOp
Authors: Siddans, R., Knappett, D., Kerridge, B., Waterfall, A.,
Hurley, J., Latter, B., Boesch, H., Parker, R.

Journal: Remote Sens. (9(9), 1033, 2017)
Title: Comparison of satellite-observed XCO2 from GOSAT, OCO-2,
and ground-based TCCON
Authors: Liang, A., Gong, W., Han, G., Xiang, C.
Journal: Atmos. Meas. Tech. (10(10), 3697-3718, 2017)
Title: Comparison of the GOSAT TANSO-FTS TIR CH4 volume mixing
ratio vertical profiles with those measured by ACE-FTS, ESA MIPAS,
IMK-IAA MIPAS, and 16 NDACC stations
Authors: Olsen, K. S., Strong, K., Walker, K. A., Boone, C. D.,
Raspollini, P., Plieninger, J., Bader, W., Conway, S., Grutter, M.,
Hannigan, J. W., Hase, F., Jones, N., De Mazière, M., Notholt, J.,
Schneider, M., Smale, D., Sussmann, R., Saitoh, N.
Journal: J. Geophys. Res.-Atmos. (122(19), 10477-10496, 2017)
Title: Application of a PCA-based fast radiative transfer model to
XCO2 retrievals in the shortwave infrared
Authors: Somkuti, P., Boesch, H., Natraj, V., Kopparla, P.
Journal: Atmos. Meas. Tech. (10(10), 3877-3892, 2017)
Title: Bias assessment of lower and middle tropospheric CO2
concentrations of GOSAT/TANSO-FTS TIR version 1 product
Authors: Saitoh, N., Kimoto, S., Sugimura, R., Imasu, R., Shiomi, K.,
Kuze, A., Niwa, Y., Machida, T., Sawa, Y., Matsueda, H.
Journal: Atmos. Chem. Phys. (17(20), 12633-12643, 2017)
Title: What controls the seasonal cycle of columnar methane
observed by GOSAT over different regions in India?
Authors: Chandra, N., Hayashida, S., Saeki, T., and Patra, P. K.

Journal: Science of the Total Environment (601-602, 1575-1590,
2017)
Title: A comparison of satellite observations with the XCO2 surface
obtained by fusing TCCON measurements and GEOS-Chem model
outputs
Authors: Zhang, L. L., Yue, T. X., Wilson, J. P., Zhao, N., Zhao, Y. P.,
Du, Z. P., Liu, Y.
Journal: Environmental Monitoring and Assessment (189(12), 627,
2017)
Title: Spatial and temporal distribution of carbon dioxide gas using
GOSAT data over Iran
Authors: Falahatkar, S., Mousavi, S. M., Farajzadeh, M.
Journal: Remote Sens. (9(12), 1228, 2017)
Title: TCCON Philippines: First measurement results, satellite data
and model comparisons in Southeast Asia
Authors: Velazco, V. A., Morino, I., Uchino, O., Hori, A., Kiel, M.,
Bukosa, B., Deutscher, N. M., Sakai, T., Nagai, T., Bagtasa, G., Izumi,
T., Yoshida, Y., and Griffith, D. W. T.
Journal: Remote Sensing of Environment (201, 109-124, 2017)
Title: Constraining a terrestrial biosphere model with remotely sensed
atmospheric carbon dioxide
Authors: Kaminski, T., Scholze, M., Vossbeck, M., Knorr, W.,
Buchwitz, M., Reuter, M.
Journal: Remote Sensing of Environment (201, 276-295, 2017)
Title: Global satellite observations of column-averaged carbon dioxideand methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set
Authors: Buchwitz, M., Reuter, M., Schneising, O., Hewson, W.,
Detmers, R. G., Boesch, H., Hasekamp, O. P., Aben, I., Bovensmann,
H., Burrows, J. P., Butz, A., Chevallier, F., Dils, B., Frankenberg, C.,
Heymann, J., Lichtenberg, G., De Mazière, M., Notholt, J., Parker, R.,
Warneke, T., Zehner, C., Griffith, D. W, T., Deutscher, N. M., Kuze, A.,
Suto, H., Wunch, D.

Journal: Remote Sens. (9(11), 1167, 2017)
Title: Comparison of retrieved L2 products from four successive
versions of L1B spectra in the thermal infrared band of TANSO-FTS
over the Arctic Ocean
Authors: Payan, S., Camy-Peyret, C., Bureau, J.
Journal: Remote Sens. (9(11), 1158, 2017)
Title: The cross-calibration of spectral radiances and cross-validationof CO2 estimates from GOSAT and OCO-2
Authors: Kataoka, F., Crisp, D., Taylor, T. E., O’Dell, C. W., Kuze, A.,
Shiomi, K., Suto, H., Bruegge, C., Schwandner, F. M., Rosenberg, R.,
Chapsky, L., and Lee, R. A. M.

N.B.: Results of the survey conducted by 'Web of Science'. Papers published in Japanese scientific journals are not included.

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NIES GOSAT PROJECT NEWSLETTER ISSUE#33 SPRING 2018

DATA PRODUCTS UPDATEAs of March 16, 2018

Data Processing and Release Status161.160 : ca. 1,747,500 scenes

FTS L1B data

161.161 : ca. 590,000 scenes

201.202 : ca. 2,635,500 scenes
02.21 : ca. 494,700 scenes

02.31 : ca. 51,300 scans
02.40 : ca. 50,200 scans
02.50 : ca. 13,500 scans
02.60 : ca. 155,400 scans
02. 72 : ca. 1,047,000 scans

FTS L2 CO₂ column amount (SWIR)

Bias corrected

FTS L2 CO₂ column
amount (SWIR)

One of the two solar
paddles stopped
02.26 : ca. 494,700 scans

02.36 : ca. 51,300 scans
02.46 : ca. 50,200 scans

FTS Pointing mech.
switched

02.21 : ca. 495,100 scans

FTS L2 CH₄ column
amount (SWIR)

TIR cryocooler
stopped02.25 : ca. 495,100 scans

02.35 : ca. 51,400 scans
02.45 : ca. 50,200 scans

02.21 : ca. 495,200 scans

02.31 : ca. 51,500 scans
02.40 : ca. 50,200 scans
02.50 : ca. 13,500 scans
02.60 : ca. 155,500 scans
02. 72 : ca. 1,048,200 scans

FTS L2 H₂O column amount (SWIR)FTS L2 CO₂ proﬁle (TIR)FTS L2 CH₄ proﬁle (TIR)

01.20 : ca. 5,661,900 scans
01.20 : ca. 7,530,500 scans
02.21 : 60 months

FTS L3 global CO₂, CH₄ distribution(SWIR)CAI L1B data
CAI L1B+ data

TIR cryocooler

02.31 : ca. 51,400 scans
restarted
02.40 : ca. 50,200 scans
02.50 : ca. 13,500 scans
02.60 : ca. 155,500 scans
02. 72 (c) : ca.1,048,000 scans

FTS L2 CH₄ column amount (SWIR)

Bias corrected

Fumie Kawazoe, Specialist,
NIES GOSAT Project

02.31 : 5 months

02.40 : 6 months
02.50 : 1 months
02.60 : 17 months
02. 72 : 103 months

02.00 : ca.1,483,000 frames
01.00 : ca. 1,270,800 frames

CAI L2 cloud ﬂag
CAI L3 global radiance02.00 : ca. 1,483,000 frames
01.00 : 2,798 reccur.

CAI L3 global reﬂectance
CAI L3 NDVI

02.00 : 1,046 months
02.00 : 31,380 rectngls

L4A global CO₂ ﬂux

02.00 : ca. 210,700 frames
02.00 : 364 reccurr.

02.04 : 4 yr. 5 mo.
02.05 : 6 yr. 5 mo.
02.04 : 4 yr. 5 mo.
02.05 : 6 yr. 5 mo.

L4B global CO₂ distribution
L4A global CH₄ ﬂux
L4B global CH₄ distribution
2009

01.03 : 4 yr. 4 mo.
01.03 : 4 yr. 4 mo.

2010

2011

2012

2013

2014

2015

2016

2017

As for L4 products, new versions for L4A global CO₂ flux and L4B global
CO₂ distribution until October 2015 have been released. L4A global CH₄flux and L4B global CH₄ distribution until September 2013 are provided
and will be upgraded this spring.

Described below are data processed and released during one year fromJanuary 2017.
FTS SWIR L2 CO₂/CH₄/H₂O column amount products were upgradedto V02.72. The new version products until February 28, 2018 have beenreleased. Their bias-corrected results using ground-based observation
data are provided as Bias-corrected FTS SWIR L2 CO₂/CH₄ column
amount products. FTS SWIR L3 CO₂/CH₄ products were also upgradedto V02.72.

Please refer to the release notes on GDAS for their details. The number
of GDAS registered users is 685 as of March 16, 2018. (The user
accounts which were not logged in during the past two years werefrozen.)Other latest processed and released are: reprocessed V02.00 for CAI
L1B, L2 cloud flag, L3 global reflectance, and NDVI products for thewhole observation period; CAI L1B+ and L3 global radiance in V01.00
until November 2016 and in V02.00 after December 2016.

NIES GOSAT PROJECT NEWSLETTERISSUE # 33 SPRING 2018edited and published by : Satellite Observation Center, NIES

Issue on: 2018/5/8
You can download this newsletter here:
URL : http://www.gosat.nies.go.jp/eng/newsletter/top.htm

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