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Paul A. Dirmeyer

be produced by operational reanalysis projects. The two recommended actions share many of the same steps in order to execute. This was realized at a workshop on global soil wetness three months later in Longmont, Colorado, which was sponsored by the Global Energy and Water Cycle Experiment (GEWEX). The recommendations served as the basis for a proposed research project to develop multiyear soil wetness time series at several climate modeling centers and academic institutions in conjunction with

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Sante Laviola, Agata Moscatello, Mario Marcello Miglietta, Elsa Cattani, and Vincenzo Levizzani

being designed. b. The numerical model WRF The numerical system used for this study is the Advanced Research WRF (ARW-WRF), version 2.2 ( Skamarock et al. 2005 ; Michalakes et al. 2004 ; more information is available online at ), which is a mesoscale numerical weather prediction (NWP) model for operational forecasting and atmospheric research needs. The simulations are carried out using a two-way nesting technique; two grid domains, the outer with a horizontal resolution

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Qing Liu, Rolf H. Reichle, Rajat Bindlish, Michael H. Cosh, Wade T. Crow, Richard de Jeu, Gabrielle J. M. De Lannoy, George J. Huffman, and Thomas J. Jackson

. , Andersson E. , Bougeault P. , and Viterbo P. , 2009 : Towards a Kalman filter based soil moisture analysis system for the operational ECMWF Integrated Forecast System . Geophys. Res. Lett. , 36 , L10401 , doi:10.1029/2009GL037716 . Entekhabi, D. , and Coauthors , 2010a : The Soil Moisture Active and Passive (SMAP) Mission . Proc. IEEE , 98 , 704 – 716 , doi:10.1109/JPROC.2010.2043918 . Entekhabi, D. , Reichle R. H. , Koster R. D. , and Crow W. T. , 2010b : Performance metrics

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