DocumentCode
1186975
Title
Cloud-drift and water vapor winds in the polar regions from MODISIR
Author
Key, Jeffrey R. ; Santek, David ; Velden, Christopher S. ; Bormann, Niels ; Thépaut, Jean-Noël ; Riishojgaard, Lars Peter ; Zhu, Yanqiu ; Menzel, W. Paul
Author_Institution
Office of Res. & Applications, Nat. Oceanic & Atmos. Adm., Madison, WI, USA
Volume
41
Issue
2
fYear
2003
Firstpage
482
Lastpage
492
Abstract
Wind products from geostationary satellites have been generated for over 20 years and are now used in numerical weather prediction systems. However, geostationary satellites are of limited utility poleward of the midlatitudes. This study demonstrates the feasibility of deriving high latitude tropospheric wind information from polar-orbiting satellites. The methodology employed is based on the algorithms currently used with geostationary satellites, modified for use with the Moderate-Resolution Imaging Spectroradiometer (MODIS) infrared window and water vapor bands. These bands provide wind information throughout the troposphere in both clear and cloudy conditions. The project presents some unique challenges, including the irregularity of temporal sampling, varying viewing geometries, and uncertainties in wind vector height assignment as a result of low atmospheric water vapor amounts and thin clouds. A 30-day case study dataset has been produced and is being used in model impact studies. Preliminary results are encouraging: when the MODIS winds are assimilated in the European Centre for Medium Range Weather Forecasts (ECMWF) system and the NASA Data Assimilation Office system, forecasts of the geopotential height for the Arctic, the Northern Hemisphere extratropics, and the Antarctic are improved significantly.
Keywords
atmospheric movements; atmospheric techniques; remote sensing; wind; IR; MODIS; Moderate-Resolution Imaging Spectroradiometer; circulation; cloud drift; infrared; measurement technique; meteorology; polar atmosphere; polar orbit; satellite remote sensing; troposphere; water vapour wind; wind; Geometry; Infrared imaging; Infrared spectra; MODIS; Sampling methods; Satellites; Terrestrial atmosphere; Uncertainty; Weather forecasting; Wind forecasting;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2002.808238
Filename
1196063
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