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


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
Print 0894-8755/Online 1520-0442
Available Metadata
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
Print Number
Page Range
Submitted On
September 21, 2011


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Authors who have authored or contributed to this publication.

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