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Title: Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites

Abstract

This paper describes the results from a collaborative study between the European Space Operations Center, the European Organization for the Exploitation of Meteorological Satellites, the National Oceanic and Atmospheric Administration, and the Cooperative Institute for Meterological Satellite Studies investigating the relationship between satellite-derived monthly mean fields of wind and humidity in the upper troposphere for March 1994. Three geostationary meteorological satellites GOES-7, Meteosat-3, and Meteosat-5 are used to cover an area from roughly 160{degrees}W to 50{degrees}E. The wind fields are derived from tracking features in successive images of upper-tropospheric water vapor (WV) as depicted in the 6.5-{mu} absorption band. The upper-tropospheric relative humidity (UTH) is inferred from measured water vapor radiances with a physical retrieval scheme based on radiative forward calculations. Quantitative information on large-scale circulation patterns in the upper troposphere is possible with the dense spatial coverage of the WV wind vectors. The monthly mean wind field is used to estimate the large-scale divergence; values range between about -5 x 10{sup -6} and 5 x 10{sup -6} sec{sup -1} when averaged over a scale length of about 1000-2000 km. The spatial patterns of the UTH field and the divergence of the wind field closely resemble one another, suggesting thatmore » UTH patterns are principally determined by the large-scale circulation. Since the upper-tropospheric humidity absorbs upwelling radiation from lower-tropospheric levels and therefore contributes significantly to the atmospheric greenhouse effect, this work implies that studies on the climate relevance of water vapor should include three-dimensional modeling of the atmospheric dynamics. The fields of UTH and WV winds are useful parameters for a climate-monitoring system based on satellite data. 21 refs., 5 figs.« less

Authors:
 [1]; ;  [2]
  1. European Organization for the Exploitation of Meteorological Satellites, Darmstadt (Germany)
  2. NOAA/NESDIS, Madison, WI (United States); and others
Publication Date:
OSTI Identifier:
171731
Resource Type:
Journal Article
Journal Name:
Bulletin of the American Meteorological Society
Additional Journal Information:
Journal Volume: 76; Journal Issue: 9; Other Information: PBD: Sep 1995
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; TROPOSPHERE; HUMIDITY; ATMOSPHERIC CIRCULATION; DATA ANALYSIS; GREENHOUSE EFFECT; UPWELLING; WATER VAPOR; WIND; GOES SATELLITES; METEOROLOGY

Citation Formats

Schmetz, J, Menzel, W P, and Hayden, C. Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites. United States: N. p., 1995. Web. doi:10.1175/1520-0477(1995)076<1578:MMLSAO>2.0.CO;2.
Schmetz, J, Menzel, W P, & Hayden, C. Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites. United States. https://doi.org/10.1175/1520-0477(1995)076<1578:MMLSAO>2.0.CO;2
Schmetz, J, Menzel, W P, and Hayden, C. 1995. "Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites". United States. https://doi.org/10.1175/1520-0477(1995)076<1578:MMLSAO>2.0.CO;2.
@article{osti_171731,
title = {Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites},
author = {Schmetz, J and Menzel, W P and Hayden, C},
abstractNote = {This paper describes the results from a collaborative study between the European Space Operations Center, the European Organization for the Exploitation of Meteorological Satellites, the National Oceanic and Atmospheric Administration, and the Cooperative Institute for Meterological Satellite Studies investigating the relationship between satellite-derived monthly mean fields of wind and humidity in the upper troposphere for March 1994. Three geostationary meteorological satellites GOES-7, Meteosat-3, and Meteosat-5 are used to cover an area from roughly 160{degrees}W to 50{degrees}E. The wind fields are derived from tracking features in successive images of upper-tropospheric water vapor (WV) as depicted in the 6.5-{mu} absorption band. The upper-tropospheric relative humidity (UTH) is inferred from measured water vapor radiances with a physical retrieval scheme based on radiative forward calculations. Quantitative information on large-scale circulation patterns in the upper troposphere is possible with the dense spatial coverage of the WV wind vectors. The monthly mean wind field is used to estimate the large-scale divergence; values range between about -5 x 10{sup -6} and 5 x 10{sup -6} sec{sup -1} when averaged over a scale length of about 1000-2000 km. The spatial patterns of the UTH field and the divergence of the wind field closely resemble one another, suggesting that UTH patterns are principally determined by the large-scale circulation. Since the upper-tropospheric humidity absorbs upwelling radiation from lower-tropospheric levels and therefore contributes significantly to the atmospheric greenhouse effect, this work implies that studies on the climate relevance of water vapor should include three-dimensional modeling of the atmospheric dynamics. The fields of UTH and WV winds are useful parameters for a climate-monitoring system based on satellite data. 21 refs., 5 figs.},
doi = {10.1175/1520-0477(1995)076<1578:MMLSAO>2.0.CO;2},
url = {https://www.osti.gov/biblio/171731}, journal = {Bulletin of the American Meteorological Society},
number = 9,
volume = 76,
place = {United States},
year = {Fri Sep 01 00:00:00 EDT 1995},
month = {Fri Sep 01 00:00:00 EDT 1995}
}