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AGU: Journal of Geophysical Research, Atmospheres

 

Keywords

  • UTH
  • microwave
  • climatology

Index Terms

  • Global Change: Atmosphere
  • Global Change: Remote sensing
  • Global Change: Water cycles
  • Global Change: Instruments and techniques
Abstract
Cited By (9)
 

Abstract

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 113, D14110, 16 PP., 2008
doi:10.1029/2007JD009314

An upper tropospheric humidity data set from operational satellite microwave data

S. A. Buehler

Institutionen för Rymdvetenskap (Department of Space Science) (IRV), Luleå University of Technology, Kiruna, Sweden

M. Kuvatov

Institut für Umweltphysik (Institute for Environmental Physics) (IUP), University of Bremen, Bremen, Germany

V. O. John

Meteorology and Physical Oceanography, Rosenstiel School for Marine and Atmospheric Science (RSMAS), University of Miami, Miami, Florida, USA

M. Milz

Institutionen för Rymdvetenskap (Department of Space Science) (IRV), Luleå University of Technology, Kiruna, Sweden

B. J. Soden

Meteorology and Physical Oceanography, Rosenstiel School for Marine and Atmospheric Science (RSMAS), University of Miami, Miami, Florida, USA

D. L. Jackson

Cooperative Institute for Research in Environmental Science (CIRES), University of Colorado/NOAA Earth System Research Laboratory, Boulder, Colorado, USA

J. Notholt

Institut für Umweltphysik (Institute for Environmental Physics) (IUP), University of Bremen, Bremen, Germany

183.31 GHz observations from the Advanced Microwave Sounding Unit B (AMSU-B) instruments onboard the NOAA 15, 16, and 17 satellites were used to derive a new data set of Upper Tropospheric Humidity (UTH). The data set consist of monthly median and mean data on a 1.5° latitude-longitude grid between 60°S and 60°N, and covers the time period of January 2000 to February 2007. The data from all three instruments are very consistent, with relative difference biases of less than 4% and relative difference standard deviations of 7%. Radiometric contributions by high ice clouds and by the Earth's surface affect the measurements in certain areas. The uncertainty due to clouds is estimated to be up to approximately 10%RH in areas with deep convection. The uncertainty associated with contamination from surface emission can exceed 10%RH in midlatitude winter, where the data therefore should be regarded with caution. Otherwise the surface influence appears negligible. The paper also discusses the UTH median climatology and seasonal cycle, which are found to be broadly consistent with UTH climatologies from other sensors. Finally, the paper presents an initial validation of the new data set against IR satellite data and radiosonde data. The observed biases of up to 9%RH (wet bias relative to HIRS) were found to be broadly consistent with expectations based on earlier studies. The observed standard deviations against all other data sets were below 6%RH. The UTH data are available to the scientific community on http://www.sat.ltu.se.

Received 23 August 2007; accepted 19 March 2008; published 18 July 2008.

Citation: Buehler, S. A., M. Kuvatov, V. O. John, M. Milz, B. J. Soden, D. L. Jackson, and J. Notholt (2008), An upper tropospheric humidity data set from operational satellite microwave data, J. Geophys. Res., 113, D14110, doi:10.1029/2007JD009314.

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