GOSAT RA Workshop
Tokyo, November 5, 2008

Scientific Application Using GOSAT DataValidation
Osamu Uchino
National Institute for Environmental Studies (NIES),Tsukuba, Ibaraki 305-8506, JAPANResearch proposals selected for GOSAT validation (1)Principal Investigator

Research Theme

Claude Camy-Peyret

Correlative TIR, SWIR and NIR Measurements for GOSAT

Vanessa Sherlock

Southern Hemisphere Validation of GOSAT XCO2 and XCH4
from TCCON Solar FTS Measurements in Australia and New
Zealand

Justus Notholt

Distributions of CO2 and CH4 over Eurasia between 30 Degree
N – 90 Degree N

Kimberly StrongValidation of GOSAT Measurements Using Ground-Based andSatellite Data

Yasuko Jessica Kasai

CH4 Measurement with the Ground-Based Solar Absorption IR
Spectrometer in Alaska Poker Flat

Thomas Blumenstock TANSO CH4 Validation Using a Ground-Based FTIR
Spectrometer in KirunaCharles Miller

Validation of GOSAT Data Products and Joint GOSAT-OCO
IntercomparisonsMichael Buchwitz

Towards CONsistent Long-Term SCIAMACHY and GOSAT
Greenhouse Gas Data Sets (CONSCIGO)

Research proposals selected for GOSAT validation (2)Principal Investigator

Research Theme

Masahiro Kawasaki

Remote Measurements of Column Densities of CO2 and CH4

Chikao Nagasawa

Validation of the SWIR/TIR Products Using Troposheric CO2
Profiles by the Ground-Based Differential Absorption Lidar

Kohei Mizutani

Validation Study of GOSAT CO2 Data with Coherent
Differential Absorption Lidars

Daisuke Sakaizawa

Validation of the Optical Depth in the TANSO-CAI/FTS
Products Using a 1.6-um Backscattring Lidar Observation

Yutaka Matsumi

Validation Experiments for GOSAT Using Balloon-Borne CO2
Instruments

Tomoaki Miura

Evaluation and Validation of GOSAT CAI Vegetation Index
Products Using MODIS, AVHRR, and In Situ Data over theConterminous United States and Hawaii

Hideki Kobayashi

Evaluation and Improvement of the Phenology Monitoring
Algorithm of Terrestrial Vegetation

Research Theme (Category)
Validation of TANSO L2 CO2 and CH4 column
amounts by ground-based high resolution FTSs
Comparison between
GOSAT and othersatellite data

Validation and calibration

Source: http://oco.jpl.nasa.gov/

FTS
Source: http://www.sciamachy.org/

Source: GOSAT Pamphlet

Development of new
instruments

CAI vegetation index

Sonde
Source: http://modis-atmos.gsfc.nasa.gov/
Source: Kawasaki et al.

Validation and Calibration

BalloonFTS
Ground-based FTS

C. Camy-Peyret:
Calibration of TANSO-FTS TIR and validation of TANSO L2 CO2 and CH4 products

Validation of TANSO L2 CO2 and CH4 column amounts
by ground-based high resolution FTSs
EurekaNy Alesund
BremenPoker Flat
TorontoKirunaBialystok

Moshiri

Orleans

TsukubaDarwinSouthern Hemisphere

Wollongong

Lauder

V. Sherlock: Statistical comparison of total column CO2 and CH4 retrievals fromground-based FTS and TANSO

EurasiaJ. Notholt: Establishment of a homogenized, well calibrated dataset of column CO2and CH4 over the Eurasian continent

Northern high latitude

K. Strong: Including validation of H2O, T, CAI L2 cloud flag, cloud properties, andaerosol products, and CAI L3 global aerosol properties in Eureka and Toronto
Y. J. Kasai: Validation of TANSO L2 CH4 column amount in Poker Flat
T. Blumenstock: Validation of TANSO L2 CH4 column amount in Kiruna

Development of new instruments
for GOSAT validation

Y. Matsumi: CO2 sonde

M. Kawasaki:
Fabry-Perot etalon and NIR
spectrum analyzer

C. Nagasawa: 1.6-μm CO2 DIAL
K. Mizutani: 2.0-μm CO2 DIAL
D. Sakaizawa: 1.6-μm backscatter lidar

Comparison between GOSAT and other satellite dataGOSATSCIAMACHY

Source: http://www.sciamachy.org/
Source: GOSAT Pamphlet

OCO

Source: http://oco.jpl.nasa.gov/

M. Buchwitz:
CONsistent long-term SCIAMACHY andGOSAT greenhouse gas data sets
(CONSCIGO)
C. Miller:
Calibration of GOSAT radiances (L1B), andvalidation of XCO2 (L2 and L3) and carbon
flux (L4) data products using algorithms andanalysis methods developed to support
NASA’s Orbiting Carbon Observatory (OCO)
mission and the North American Carbon
Program (NACP)

CAI vegetation index
TANSO CAI

Source: JAXA

NDVI

T. Miura:
Evaluation and validation of CAI vegetation index
products using MODIS, AVHRR, and In-Situ data

Area: Across the Conterminous USA and Over tropical Hawaii

H. Kobayashi:
Evaluation and improvement of the phenology
monitoring method of terrestrial vegetation using CAI
data
Area: Grassland (China, Mongol etc.）
Deciduous needle-leaf forest （East Siberia）