NIES GOSAT retrieval
Last update: 2020/08/27
The Greenhouse gases Observing SATellite "IBUKI" (GOSAT) is designed to measure the concentration of major greenhouse gases from space.
GOSAT was launched successfully on January 23, 2009. GOSAT Project is a joint effort promoted by the Japan Aerospace Exploration Agency (JAXA),
the National Institute for Environmental Studies (NIES) and the Ministry of the Environment (MOE).
The GHG long term trend viewer presents quick view and pick up data set of the target observation sites, where users are interested.
Most of the target observations requested by the RA researchers are not included in the list.
2. Data description
FTS L1B V220.220(～ 2020/05/31)
FTS L1B V220.221(2020/06/01 ～)
CO2 : V02.97（FTS L1B：V220.220） : 2009/4/23～2020/5/31
V02.98（FTS L1B：V220.221） : 2020/6/1～2021/7/31
CH4 : V02.95（FTS L1B：V220.220） : 2009/4/23～2020/5/31
V02.96（FTS L1B：V220.221） : 2020/6/1～2021/7/31
About data category
The CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) project is being jointly conducted by NIES (National Institute for Environmental Studies), the MRI (Meteorological Research Institute), JAL (Japan Airlines), JAMCO (JAMCO Corporation) and JAL-F (JAL Foundation). The CONTRAIL Database contains all the CO2 data measured by CME, as well as the information from the aircraft data system (aircraft position, temperature, wind direction and wind speed). These data have been used for GOSAT validation. GOSAT has targeted airports in serve.
Possible Emission Source
Possible large emission source site
Highly populated cities urban area
Vicarious calibration site
TCCON (Total Carbon Column Observing Network)
The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record spectra of the sun in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved.
Island and Others
Targeting coasts and islands, while avoiding bays and channels in order to increase the yield rate of spectra.
GOSAT NIES Level2 V02.97/V02.98[CO2] and V02.95/V02.96[CH4](Bias corrected)
CO2 dry air mixing ratio is stored
units = ppmv
CH4 dry air mixing ratio is stored
units = ppmv
Aerosol optical thickness at 0.72um is calculated from the retrieval state
Aerosol optical thickness at 1.6um is calculated from the retrieval state
Aerosol optical thickness at 2.06um is calculated from the retrieval state
About data extraction
In order to use long term trend data of the point of interest, the viewer pick up data within the circle of 10km radius.
But the following adjacent site, the viewer pick up within the circle of 1km or 2km radius.
[circle of 1km radius]
Bakersfield4 - 6
Boston4, Boston5, Greece4, Greece5
[circle of 2km radius]
Tokyo6, 8, 11 - 13
Aliso_Canyon2 - 4
Namibia1 - 3
Antarctica1 - 4
Beijing1 - 16
Shanghai1 - 13
Delhi1 - 16
Dhaka1 - 16
MexicoCity1 - 16
Istanbul1 - 16
Cairo1 - 15
Sacramento(Rice Field), Sacramento(CA Capitol)
Karachi1 - 16
[circle of 2.5km radius]
The primary pointing system, which had been used between launch and Dec. 2014, larger pointing offset of about 5km.
Therefore, some cases include nearby target points.
GOSAT Data Archive Service (GDAS)
Users of NIES Data products should cite the following key NIES references:
Morino et al., : Preliminary validation of column-averaged volume mixing ratios of carbon dioxide and methane retrieved from GOSAT short-wavelength infrared spectra, Atmos. Meas. Tech., 4, 1061-1076, doi:10.5194/amt-4-1061-2011, 2011.
Yoshida et al., : Retrieval algorithm for CO2 and CH4 column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite, Atmos. Meas. Tech., 4, 717-734, doi:10.5194/amt-4-717-2011, 2011.
Yoshida et al., : Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data, Atmos. Meas. Tech., 6, 1533-1547, doi:10.5194/amt-6-1533-2013, 2013.
GHG Long term trend viewer was developed by JAXA/EORC. We would like to thank NIES GOSAT project members, and JAXA GOSAT project members.