Cloud-drift and water vapor winds in the polar regions from MODIS
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 latitud...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.385.6563 2023-05-15T13:51:02+02:00 Cloud-drift and water vapor winds in the polar regions from MODIS Jeffrey R. Key David Santek Christopher S. Velden Niels Bormann Jean-noël Thépaut Lars Peter Riishojgaard Yanqiu Zhu W. Paul Menzel The Pennsylvania State University CiteSeerX Archives 2003 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.6563 http://modis-atmos.gsfc.nasa.gov/_docs/Key_et_al._(2003).pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.6563 http://modis-atmos.gsfc.nasa.gov/_docs/Key_et_al._(2003).pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://modis-atmos.gsfc.nasa.gov/_docs/Key_et_al._(2003).pdf IN THE EARLY 1960s Tetsuya Fujita developed analysis text 2003 ftciteseerx 2016-09-18T00:32:12Z 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. Index Terms—MODIS, numerical weather prediction, polar meteorology, satellite applications, winds. Text Antarc* Antarctic Arctic Unknown Antarctic Arctic The Antarctic |
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English |
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IN THE EARLY 1960s Tetsuya Fujita developed analysis |
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IN THE EARLY 1960s Tetsuya Fujita developed analysis Jeffrey R. Key David Santek Christopher S. Velden Niels Bormann Jean-noël Thépaut Lars Peter Riishojgaard Yanqiu Zhu W. Paul Menzel Cloud-drift and water vapor winds in the polar regions from MODIS |
topic_facet |
IN THE EARLY 1960s Tetsuya Fujita developed analysis |
description |
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. Index Terms—MODIS, numerical weather prediction, polar meteorology, satellite applications, winds. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Jeffrey R. Key David Santek Christopher S. Velden Niels Bormann Jean-noël Thépaut Lars Peter Riishojgaard Yanqiu Zhu W. Paul Menzel |
author_facet |
Jeffrey R. Key David Santek Christopher S. Velden Niels Bormann Jean-noël Thépaut Lars Peter Riishojgaard Yanqiu Zhu W. Paul Menzel |
author_sort |
Jeffrey R. Key |
title |
Cloud-drift and water vapor winds in the polar regions from MODIS |
title_short |
Cloud-drift and water vapor winds in the polar regions from MODIS |
title_full |
Cloud-drift and water vapor winds in the polar regions from MODIS |
title_fullStr |
Cloud-drift and water vapor winds in the polar regions from MODIS |
title_full_unstemmed |
Cloud-drift and water vapor winds in the polar regions from MODIS |
title_sort |
cloud-drift and water vapor winds in the polar regions from modis |
publishDate |
2003 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.6563 http://modis-atmos.gsfc.nasa.gov/_docs/Key_et_al._(2003).pdf |
geographic |
Antarctic Arctic The Antarctic |
geographic_facet |
Antarctic Arctic The Antarctic |
genre |
Antarc* Antarctic Arctic |
genre_facet |
Antarc* Antarctic Arctic |
op_source |
http://modis-atmos.gsfc.nasa.gov/_docs/Key_et_al._(2003).pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.6563 http://modis-atmos.gsfc.nasa.gov/_docs/Key_et_al._(2003).pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766254598819938304 |