DocumentCode :
3158481
Title :
An evaluation method of the retrieved carbone dioxide column amount derived from short wave infrared measurement
Author :
Tomosada, Mitsuhiro ; Tsubaki, Hiroe
Author_Institution :
Inst. of Stat. Math., Tokyo
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
2162
Lastpage :
2167
Abstract :
Greenhouse Gases Observing Satellite (GOSAT) and Orbiting Carbon Observatory (OCO) for the purpose of observing greenhouse gases will be expected to launch in late 2008 or in early 2009. OCO and GOSAT will be the first satellite to observe carbon dioxide (CO2), major greenhouse gases, from space. Global distributions of CO2 column abundances, retrieved from each GOSAT and OCO data, will be opened to researchers and public users, so it is important to clarify the precision of the data retrieval. If satellite observations are to improve over the existing ground network, monthly averaged column data at a precision of 1% or better, for an 8deg times 10deg footprint are needed [1]. The GOSAT mission was designed to observe CO2 density with 1% relative precision averaged in a certain period and with 10 km times10 km footprint size. This paper describes an evaluation method of retrieved CO2 column abundances considering internal and external error sources, respectively. Variance of the internal error, which is derived from spectral fitting residuals, is obtained analytically. Variance of the external error, which is caused by error of given parameters when column abundance is retrieved, is estimated by factorial design. Further, observation situation is set and noises occurred in sensor are generated, retrieval precision is evaluated by numerical simulation. Evaluation results changing noise seed are shown as one example.
Keywords :
carbon compounds; global warming; infrared spectra; remote sensing; CO2 column abundance retrieval; global warming; greenhouse gases observing satellite; orbiting carbon observatory; retrieved carbon dioxide column amount; satellite remote sensing; short wave infrared measurement; Carbon dioxide; Error correction; Global warming; Information retrieval; Mathematics; Observatories; Remote sensing; Rough surfaces; Satellite ground stations; Surface roughness; CO2 column abundance retrieval; Global warming; evaluation method; satellite remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
Type :
conf
DOI :
10.1109/SICE.2008.4655021
Filename :
4655021
Link To Document :
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