Comparison of Column-Averaged Volume Mixing Ratios of Carbon Dioxide Retrieved From IASI/METOP-A Using KLIMA Algorithm and TANSO-FTS/GOSAT Level 2 Products
Articolo
Data di Pubblicazione:
2014
Abstract:
The ESA research project "Application of KLIMA
Algorithm to CO Retrieval from IASI/METOP-A Observations
and Comparison with TANSO-FTS/GOSAT Products" aims to
develop a dedicated software, based on the KLIMA inversion
algorithm (originally proposed by IFAC-CNR for the 6 cycle of
ESA Earth Explorer Core Missions), suited for CO retrieval and
integrated into the ESA grid-based operational environment Grid
Processing On-Demand (G-POD) to process Level 1 data acquired
by the infrared atmospheric sounding interferometer (IASI)
and to perform a comparison with Thermal And Near-infrared
Sensor for carbon Observation Fourier Transform Spectrometer
(TANSO-FTS), on board of the Greenhouse gases Observing
SATellite (GOSAT), Level 2 data. In order to obtain a reasonable
capacity to bulk processing IASI data, we choose to integrate
the KLIMA code into the G-POD system. For this reason, we
investigated an optimized version of the KLIMA algorithm,
aiming at developing a nonoperational retrieval code with ad-
equate features for the integration on the G-POD system. The
optimized version of KLIMA retrieval code has been completed
and integrated on the G-POD operational environment and is
available for bulk processing of IASI data. Using the KLIMA
inversion code integrated into the ESA G-POD, it was possible
to perform an extensive comparison of a selected set of IASI
measurements collocated with TANSO-FTS observations. We
performed an extensive comparison of the column-average CO
dry air mole fraction (XCO ) retrieved from IASI measurements
by using the KLIMA/G-POD inversion code with the operational
Level 2 SWIR products (Version 01.xx and Version 02.xx) from
collocated TANSO-FTS observations. In this work, we describe
the strategy adopted for the comparison and we show the results
of this activity.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Atmospheric modeling; carbon dioxide; data validation; Greenhouse gases Observing SATellite (GOSAT); hyperspectral sensors; infrared atmospheric sounding interferom- eter (IASI); KLIMA algorithm; remote sensing
Elenco autori:
Gai, Marco; Laurenza, LUCIA MARIA; Cortesi, Ugo; DEL BIANCO, Samuele; Barbara, Flavio
Link alla scheda completa:
Pubblicato in: