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A Global Atmospheric Analysis Dataset Downscaled From The Ncep–doe Reanalysis

Abstract

A global atmospheric analysis dataset is constructed via a spectral nudging technique. The 6-hourly National Centers for Environmental Prediction (NCEP)–Department of Energy (DOE) reanalysis from January 1979 to February 2011 is utilized to force large-scale information, whereas a higher-resolution structure is resolved by a global model with improved physics. The horizontal resolution of the downscaled data is about 100 km, twice that of the NCEP–DOE reanalysis. A comparison of the 31-yr downscaled data with reanalysis data and observations reveals that the downscaled precipitation climatology is improved by correcting inherent biases in the lower-resolution reanalysis, and large-scale patterns are preserved. In addition, it is found that global downscaling is an efficient way to generate high-quality analysis data due to the use of a higher-resolution model with improved physics. The uniqueness of the obtained data lies in the fact that an undesirable decadal trend in the analysis due to a change in the amount of observations used in reanalysis is avoided. As such, a downscaled dataset may be used to investigate changes in the hydrological cycle and related mechanisms.

Article / Publication Data
Active/Online
YES
ISSN
Print 0894-8755/Online 1520-0442
Volume
25
Available Metadata
DOI ↗
Fiscal Year
Publication Name
J. Climate
Published On
January 01, 2012
Final Online Publication On
April 01, 2012
Publisher Name
Amer Meteorological Soc
Print Volume
25
Print Number
7
Page Range
2527-2534
Submitted On
September 21, 2011
URL ↗

Institutions

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Authors

Authors who have authored or contributed to this publication.

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