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Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR) and Ground-Based FTS Measurements: Impact of the Spatial Variability of XH2O on the Intercomparison.
- Source :
- Remote Sensing; Jan2017, Vol. 9 Issue 1, p64, 29p
- Publication Year :
- 2017
-
Abstract
- Spatial and temporal variability of atmospheric water vapor (H<subscript>2</subscript>O) is extremely high, and therefore it is difficult to accurately evaluate the measurement precision of H<subscript>2</subscript>O data by a simple comparison between the data derived from two different instruments. We determined the measurement precisions of column-averaged dry-air mole fractions of H<subscript>2</subscript>O (XH<subscript>2</subscript>O) retrieved independently from spectral radiances in the thermal infrared (TIR) and the short-wavelength infrared (SWIR) regions measured using a Thermal And Near-infrared Sensor for carbon Observation-Fourier Transform Spectrometer (TANSO-FTS) onboard the Greenhouse gases Observing SATellite (GOSAT), by an intercomparison between the two TANSO-FTS XH<subscript>2</subscript>O data products and the ground-based FTS XH<subscript>2</subscript>O data. Furthermore, the spatial variability of XH<subscript>2</subscript>O was also estimated in the intercomparison process. Mutually coincident XH<subscript>2</subscript>O data above land for the period ranging from April 2009 to May 2014 were intercompared with different spatial coincidence criteria. We found that the precisions of the TANSO-FTS TIR and TANSO-FTS SWIR XH<subscript>2</subscript>O were 7.3%-7.7% and 3.5%-4.5%, respectively, and that the spatial variability of XH<subscript>2</subscript>O was 6.7% within a radius of 50 km and 18.5% within a radius of 200 km. These results demonstrate that, in order to accurately evaluate the measurement precision of XH<subscript>2</subscript>O, it is necessary to set more rigorous spatial coincidence criteria or to take into account the spatial variability of XH<subscript>2</subscript>O as derived in the present study. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 9
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 120987925
- Full Text :
- https://doi.org/10.3390/rs9010064