A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area
Abstract:This paper presents a new algorithm to determine quantitatively column water vapour content (W) directly from ATSR2 (Along-Track Scanner Radiometer) Split-Window radiance measurements. First, the Split-Window Covariance-Variance Ratio (SWCVR) method is reviewed. The assumptions made to derive this method are highlighted and its applicability is discussed. Then, an operational use of this method is developed and applied to several ATSR2 datasets. The water vapour contents retrieved using ATSR2 data from SGP'97 (USA), Barrax (Spain) and Cabauw (The Netherlands) are in good agreement with those measured by the quasi-simultaneous radiosonde. The mean and the standard deviation of their difference are 0.04 g cm−2 and 0.22 g cm−2, respectively. It is shown that water vapour content derived from ATSR2 data using the proposed algorithm is accurate enough in most cases for surface temperature determination with a split-window technique using ATSR2 data and for atmospheric corrections in visible and near-infrared channels of ATSR2.
Document Type: Research Article
Affiliations: 1: Institute of Geographical Sciences and Natural Resources Research 100101 Beijing China 2: Alterra Green World Research 6700 AA Wageningen The Netherlands 3: ICESS University of California Santa Barbara CA 93106-3060 USA
Publication date: December 1, 2003