A Multimodel Analysis for the Coordinated Enhanced Observing Period (CEOP)

Abstract A collection of eight operational global analyses over a 27-month period have been processed to common data structures to facilitate comparisons among the analyses and global observational datasets. The present study evaluated the global precipitation, outgoing longwave radiation (OLR) at the top of the atmosphere, and basin-scale precipitation over the United States. In addition, a multimodel ensemble was created from a linear average of the available data, as close to the analysis time as each system permitted. The results show that the monthly global precipitation and OLR from the multimodel ensemble compares generally better to the observations than any single analysis. Likewise, the daily precipitation from the ensemble exhibits better statistical comparison (in space and time) to gauge observations over the Mississippi River basin. However, the comparisons have seasonality, when the members of the ensemble exhibit generally more skill, during winter. There is notably higher skill of the sum...

[1]  Stephen J. Cox,et al.  The NASA/GEWEX Surface Radiation Budget project: overview and analysis , 2006 .

[2]  Lennart Bengtsson,et al.  Integration of Space and In Situ Observations to Study Global Climate Change , 1988 .

[3]  F. Joseph Turk,et al.  Real-time multianalysis-multimodel superensemble forecasts of precipitation using TRMM and SSM/I products , 2001 .

[4]  P. Dirmeyer,et al.  Improving the quality of simulated soil moisture with a multi‐model ensemble approach , 2007 .

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

[6]  K. Taylor.  Summarizing multiple aspects of model performance in a single diagram , 2001 .

[7]  Xungang Yin,et al.  Comparison of the GPCP and CMAP Merged Gauge-Satellite Monthly Precipitation Products for the Period 1979-2001 , 2004 .

[8]  A. Ruane,et al.  6-Hour to 1-Year Variance of Five Global Precipitation Sets , 2007 .

[9]  Antonio O. Manzi,et al.  Comparison of CPTEC GCM and Eta Model Results with Observational Data from the Rondonia LBA Reference Site, Brazil , 2007 .

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

[11]  A. Sterl,et al.  The ERA‐40 re‐analysis , 2005 .

[12]  Patrick Minnis,et al.  Assessment of global annual atmospheric energy balance from satellite observations , 2008 .

[13]  Jeffrey S. Whitaker,et al.  Feasibility of a 100-Year Reanalysis Using Only Surface Pressure Data , 2006 .

[14]  M. Kanamitsu,et al.  NCEP–DOE AMIP-II Reanalysis (R-2) , 2002 .

[15]  Masaru Kitsuregawa,et al.  Initial CEOP-based Review of the Prediction Skill of Operational General Circulation Models and Land Surface Models( Coordinated Enhanced Observing Period(CEOP)) , 2007 .

[16]  T. Koike,et al.  The Coordinated Enhanced Observing Period-an initial step for integrated global water cycle observation , 2004 .

[17]  S. Kobayashi,et al.  The JRA-25 Reanalysis , 2007 .

[18]  Naota Hanasaki,et al.  GSWP-2 Multimodel Analysis and Implications for Our Perception of the Land Surface , 2006 .

[19]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[20]  K. Trenberth,et al.  Estimates of the Global Water Budget and Its Annual Cycle Using Observational and Model Data , 2007 .

[21]  A. Ruane,et al.  The Diurnal Cycle of Water and Energy over the Continental United States from Three Reanalyses , 2007 .

[22]  Bruce A. Wielicki,et al.  Determination of Unfiltered Radiances from the Clouds and the Earth’s Radiant Energy System Instrument , 2001 .

[23]  Robert A. Weller,et al.  Multidecade Global Flux Datasets from the Objectively Analyzed Air-sea Fluxes (OAFlux) Project: Latent and Sensible Heat Fluxes, Ocean Evaporation, and Related Surface Meteorological Variables , 2008 .

[24]  Arun Kumar,et al.  NCEP dynamical seasonal forecast system 2000 , 2002 .

[25]  B. Barkstrom,et al.  Clouds and the Earth's Radiant Energy System (CERES): An Earth Observing System Experiment , 1996 .

[26]  P. Earnshaw,et al.  Evaluation of Surface Water and Energy Cycles in the Met Office Global NWP Model Using CEOP Data( Coordinated Enhanced Observing Period(CEOP)) , 2007 .

[27]  Lisan Yu,et al.  Global Variations in Oceanic Evaporation (1958–2005): The Role of the Changing Wind Speed , 2007 .

[28]  Stéphane Bélair,et al.  Boundary Layer and Shallow Cumulus Clouds in a Medium-Range Forecast of a Large-Scale Weather System , 2005 .

[29]  Kevin E. Trenberth,et al.  An Evaluation and Intercomparison of Global Analyses from the National Meteorological Center and the European Centre for Medium Range Weather Forecasts , 1988 .

[30]  M. Kanamitsu,et al.  Evaluation of RSM-Simulated Precipitation During CEOP , 2007 .

[31]  Peter J. Gleckler,et al.  Evaluation of continental precipitation in 20th century climate simulations: The utility of multimodel statistics , 2006 .

[32]  Michael G. Bosilovich,et al.  Evaluation of Global Precipitation in Reanalyses , 2008 .

[33]  Michael G. Bosilovich,et al.  Skin Temperature Analysis and Bias Correction in a Coupled Land-Atmosphere Data Assimilation System , 2007 .

[34]  A. Betts,et al.  NCEP-NCAR and ECMWF Reanalysis Surface Water and Energy Budgets for the Mississippi River Basin , 2000 .

[35]  A. Staniforth,et al.  The Operational CMC–MRB Global Environmental Multiscale (GEM) Model. Part I: Design Considerations and Formulation , 1998 .

[36]  T. Meyers,et al.  Sensitivity of Land Surface Simulations to Model Physics, Land Characteristics, and Forcings, at Four CEOP Sites , 2007 .

[37]  Robert A. Weller,et al.  Objectively Analyzed Air–Sea Heat Fluxes for the Global Ice-Free Oceans (1981–2005) , 2007 .

[38]  S. Belair,et al.  Medium-Range Quantitative Precipitation Forecasts from Canada's New 33-km Deterministic Global Operational System , 2009 .

[39]  M. Hosaka,et al.  Development and Validation of a New Land Surface Model for JMA’s Operational Global Model Using the CEOP Observation Dataset , 2007 .

[40]  M. Bosilovich,et al.  Coordinated Enhanced Observing Period (CEOP) International Workshop , 2002 .

[41]  Validating Basic Surface Variables in the Australian Bureau of Meteorology Model with CEOP EOP3 In-situ Data( Coordinated Enhanced Observing Period(CEOP)) , 2007 .