Assessing high-latitude winter precipitation from global precipitation analyses using GRACE.

Abstract This study compares cold-season, high-latitude precipitation estimates from two global, merged satellite–gauge precipitation analyses—Global Precipitation Climatology Project (GPCP) and Climate Prediction Center Merged Analysis of Precipitation (CMAP)—to total water storage anomalies produced from the Gravity Recovery and Climate Experiment (GRACE). In general, spatial patterns and interannual variability are highly correlated between the datasets, although significant differences are also observed. Differences vary by region but typically increase at higher latitudes. Furthermore, results indicate that the gauge undercatch correction used by GPCP may be overestimated. These comparisons may be useful for assessing precipitation estimates over large regions, where in situ gauge networks may be sparse.

[1]  Jeffrey B. Basara,et al.  Estimating profile soil moisture and groundwater variations using GRACE and Oklahoma Mesonet soil moisture data , 2008 .

[2]  A. Barrett,et al.  Northern High-Latitude Precipitation as Depicted by Atmospheric Reanalyses and Satellite Retrievals , 2005 .

[3]  G. Huffman,et al.  Comparison of GPCP Monthly and Daily Precipitation Estimates with High-Latitude Gauge Observations , 2009 .

[4]  P. Xie,et al.  Global Precipitation: A 17-Year Monthly Analysis Based on Gauge Observations, Satellite Estimates, and Numerical Model Outputs , 1997 .

[5]  R. Spencer Global Oceanic Precipitation from the MSU during 1979—91 and Comparisons to Other Climatologies , 1993 .

[6]  S. Swenson,et al.  A comparison of terrestrial water storage variations from GRACE with in situ measurements from Illinois , 2006 .

[7]  Phillip A. Arkin,et al.  Global Monthly Precipitation Estimates from Satellite-Observed Outgoing Longwave Radiation , 1998 .

[8]  Victor Zlotnicki,et al.  Time‐variable gravity from GRACE: First results , 2004 .

[9]  J. Janowiak,et al.  The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .

[10]  Peter E. Thornton,et al.  Improvements to the Community Land Model and their impact on the hydrological cycle , 2008 .

[11]  George J. Huffman,et al.  Estimates of Root-Mean-Square Random Error for Finite Samples of Estimated Precipitation , 1997 .

[12]  P. Milly,et al.  Macroscale water fluxes 1. Quantifying errors in the estimation of basin mean precipitation , 2002 .

[13]  S. Swenson,et al.  Estimated accuracies of regional water storage variations inferred from the Gravity Recovery and Climate Experiment (GRACE) , 2003 .

[14]  M. Watkins,et al.  The gravity recovery and climate experiment: Mission overview and early results , 2004 .

[15]  J. Janowiak,et al.  The Global Precipitation Climatology Project (GPCP) combined precipitation dataset , 1997 .

[16]  Franz Rubel,et al.  Correction of synoptic precipitation observations due to systematic measuring errors with special regard to precipitation phases , 2001 .

[17]  D. Bromwich,et al.  Large‐scale hydro‐climatology of the terrestrial Arctic drainage system , 2002 .

[18]  Zong-Liang Yang,et al.  Retrieving snow mass from GRACE terrestrial water storage change with a land surface model , 2007 .

[19]  Thomas M. Smith,et al.  A new merged analysis of precipitation utilizing satellite and reanalysis data , 2008 .

[20]  F. Bryan,et al.  Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .

[21]  John M. Wahr,et al.  Multi‐sensor analysis of water storage variations of the Caspian Sea , 2007 .

[22]  Douglas L. Kane,et al.  Bias corrections of long‐term (1973–2004) daily precipitation data over the northern regions , 2005 .

[23]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[24]  C. Vörösmarty,et al.  Assessment of contemporary Arctic river runoff based on observational discharge records , 2001 .

[25]  S. Swenson,et al.  Post‐processing removal of correlated errors in GRACE data , 2006 .