JAXA EORC GOSAT retrieval
Last update: 2022/09/07
1. Introduction
GOSAT uses the multiplex advantage of the FTS technology, which enables simultaneous measurements of solar-reflected lights and thermal emissions of the Earth’s atmosphere with a single instrument. Existing GOSAT Level 2 products (e.g. NIES/GOSAT and NASA’s ACOS) have provided the column-averaged dry-air mole fractions of CO2 and CH4 (XCO2 and XCH4, respectively), but only from the three SWIR-bands. TIR spectra emitted from CO2 and CH4 contain vertical profile information, due to the temperature gradient. Conventional algorithms for the TIR band have attempted to acquire CO2 and CH4 densities for ten vertical layers in the troposphere, resulting in unstable retrievals due to the uncertainties of radiometric calibrations. In addition, TIR data alone do not contain enough information of near-surface CO2 and CH4.
The JAXA EORC GOSAT group has reduced the number of vertical layers for a more robust retrieval. They can retrieve the difference between the partial column-averaged dry-air mole fractions of the two individual layers of the lower and upper troposphere XCO2LT, XCO2UT, XCH4LT, and XCH4UT by combining TIR and SWIR spectra data simultaneously, thereby constraining the accurate total column density of XCO2 and XCH4. They retrieved five vertical layers: two in the troposphere and three in the stratosphere. They used the entire spectral range acquired with the FTS including absorption bands of O2 A at 0.76 μm, CO2 and CH4 at 1.6 μm, and CO2 at 2.0 μm, and thermal emission from atmospheric CO2 and CH4. The simultaneous use of two liner polarizations can provide accurate light-path modification under thick aerosol conditions.
The retrieval method is the maximum a posteriori solution found by minimizing a cost function. For reflected solar light, we used the vector equation of radiative transfer for the diffuse components of the Stokes parameters. We define vertical layers of LT and UT not by temperature, but by the retrieved surface pressure (Psurf) from individual O2 A band data as retrieved vertical temperature has a larger uncertainty. The pressure-height ranges of the LT and UT were taken as 0.6-1 Psurf and 0.2-0.6 Psurf, respectively. Both LT and UT have the same air masses. The exact ranges of each vertical layer were determined by individually retrieved Psurf. In the case of ocean data, the vertical range of LT becomes 0-4 km. We allocate three layers in the stratosphere to stabilize the retrieval. Most pieces of information on the stratosphere come from a priori data. The typical degrees of freedom for the signal (DFS) are roughly 1.2, 1.8, 0.6, 0.8 for XCO2, XCH4, XCO2LT, and XCH4LT, respectively. Therefore, most of the lower troposphere data are acquired from GOSAT observations. They validated our XCO2LT and XCH4LT retrieval algorithm by coincident spiral flights with an airborne spectrometer during the annual calibration and validation campaigns at Railroad Valley in Nevada, USA.
In addition to CO2 and CH4, they provide 11-layer H2O density. TANSO-FTS contains wide H2O bands and H2O have more complicated vertical profiles; therefore 11-layer data are retrieved.
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
L1B version
About data category
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CONTRAIL
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.
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Possible Emission Source
Possible large emission source site
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Megacity
Highly populated cities urban area
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Calibration
Vicarious calibration site
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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.
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Island and Others
Targeting coasts and islands, while avoiding bays and channels in order to increase the yield rate of spectra.
About parameter
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yyyy/mm/dd and hh:mm:ss :
Observation time defined as the start time of the exposure.
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LSFLG:
land/sea flag [0 ... land | 1 ... sea | 2 ... mixed]
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XH2O_apr:
a priori column averaged VMR of water vapor
units = ppmv
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XH2O:
retrieved column averaged VMR of water vapor
units = ppmv
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H2O_apr_**:
a priori VMR of water vapor in the **-th layer
units = ppmv
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H2O_**:
retrieved VMR of water vapor in the **-th layer
The VMR of water vapor is retrieved with 11 vertical layers whose interfaces are defined as 0.1 hPa and [0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] * Psrf_ret.
units = ppmv
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XGAS_apr:
a priori column averaged VMR of GAS
units = ppmv
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XGAS:
retrieved column averaged VMR of GAS
units = ppmv
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XGAS_apr_UT:
a priori VMR of GAS [ppmv] in the upper troposphere
upper troposphere (UT) ... from 0.2*Psrf_ret down to 0.6*Psrf_ret
units = ppmv
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XGAS_apr_LT:
a priori VMR of GAS [ppmv] in the lower troposphere
lower troposphere (LT) ... from 0.6*Psrf_ret down to Psrf_ret
units = ppmv
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XGAS_UT:
retrieved VMR of GAS [ppmv] in the upper troposphere
units = ppmv
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XGAS_LT:
retrieved VMR of GAS [ppmv] in the lower troposphere
units = ppmv
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Psrf_apr:
a priori surface pressure
units = hPa
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Psrf_ret:
retrieved surface pressure
units = hPa
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AOT_xyz:
retrieved AOT at wavelength xyz
units = hPa
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AOT_xyz:
retrieved AOT at wavelength xyz
units = hPa
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SIF
SIF (constant in wavenumber)
units = 10-9 W/cm2/sr/cm-1
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CLOUD
cloud cover [0.0 - 1.0]
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latitude and longitude
Observation location.
units = degree
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]
Osaka3, Osaka4
Bakersfield4 - 6
Boston4, Boston5, Greece4, Greece5
[circle of 2km radius]
JPL
Tokyo6, 8, 11 - 13
Osaka5
Bakersfield2, Bakersfield3
Aliso_Canyon2 - 4
Namibia1 - 3
Antarctica1 - 4
Beijing1 - 16
Shanghai1 - 13
Delhi1 - 16
Dhaka1 - 16
MexicoCity1 - 16
Istanbul1 - 16
Cairo1 - 15
CebuIsland1, 2
Sacramento(Rice Field), Sacramento(CA Capitol)
Karachi1 - 16
Lahore1 - 16
East_Hokkaido1 - 14
[circle of 2.5km radius]
Caltech_USA
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.
3. Citation
Algorithm:
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N. Kikuchi et al. in prep
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A. Kuze et al., “Level 1 algorithms for TANSO on GOSAT: Processing and on-orbit calibrations,” Atmos. Meas. Tech., 5, 2447–2467 (2012).
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A. Kuze et al, “Update on GOSAT TANSO-FTS performance, operations, and data products after more than 6 years in space,” Atmos. Meas. Tech., 9, 2445–2461, (2016).
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Kikuchi, N., Kuze, A., Kataoka, F., Shiomi, K., Hashimoto, M., Suto, H., et al. (2017), Three-dimensional distribution of greenhouse gas concentrations over megacities observed by GOSAT, AGU fall meeting.
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The SWIR part of the algorithm is described by Kikuchi et al. (2016):
Kikuchi, N., Y. Yoshida, O. Uchino, J. Morino, and T. Yokota: An advanced retrieval algorithm for greenhouse gases using polarization information measured by GOSAT TANSO-FTS SWIR I: Simulation study, J. Geophys. Res., 121, 21, 13129-13157, doi:10.1002/2015JD024720, 2016
Ancillary data
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NCEP_Reanalysis 2 data provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their Web site at https://www.esrl.noaa.gov/psd/
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CarbonTracker results provided by NOAA ESRL, Boulder, Colorado, USA from the website at http://carbontracker.noaa.gov.
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CarbonTracker-CH4 results provided by NOAA ESRL, Boulder, Colorado, USA from the website at http://www.esrl.noaa.gov/gmd/ccgg/carbontracker-ch4/.
4. Links
5. Acknowledgments
GHG Long term trend viewer was developed by JAXA/EORC. We would like to thank NIES GOSAT project members, and JAXA GOSAT project members.
6. Condition of use
Please do not distribute this product to any third party. If you plan to publish your research outcome using this product, please inform and consult us in advance.