Global Evaluation of the ISBA-TRIP Continental Hydrological System. Part I: Comparison to GRACE Terrestrial Water Storage Estimates and In Situ River Discharges
Abstract:In earth system models, the partitioning of precipitation among the variations of continental water storage, evapotranspiration, and freshwater runoff to the ocean has a major influence on the terrestrial water and energy budgets and thereby on simulated climate on a wide range of scales. The evaluation of continental hydrology is therefore a crucial task that requires offline simulations driven by realistic atmospheric forcing to avoid the systematic biases commonly found in global atmospheric models. Generally, this evaluation is done mainly by comparison with in situ river discharge data, which does not guarantee that the spatiotemporal distribution of water storage and evapotranspiration is correctly simulated. In this context, the Interactions between Soil, Biosphere, and Atmosphere–Total Runoff Integrating Pathways (ISBA-TRIP) continental hydrological system of the Centre National de Recherches Meteorologiques is evaluated by using the additional constraint of terrestrial water storage (TWS...
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[1] Anny Cazenave,et al. Global Evaluation of the ISBA-TRIP Continental Hydrological System. Part II: Uncertainties in River Routing Simulation Related to Flow Velocity and Groundwater Storage , 2010 .
[2] Taikan Oki,et al. Role of rivers in the seasonal variations of terrestrial water storage over global basins , 2009 .
[3] William J. Sacks,et al. Effects of global irrigation on the near-surface climate , 2009 .
[4] Andreas Güntner,et al. Improvement of Global Hydrological Models Using GRACE Data , 2008 .
[5] H. Douville,et al. A new river flooding scheme for global climate applications: Off‐line evaluation over South America , 2008 .
[6] G. Ramstein,et al. Impact of a realistic river routing in coupled ocean–atmosphere simulations of the Last Glacial Maximum climate , 2008 .
[7] David M. Lawrence,et al. Incorporating organic soil into a global climate model , 2008 .
[8] Bertrand Decharme,et al. Influence of runoff parameterization on continental hydrology: Comparison between the Noah and the ISBA land surface models , 2007 .
[9] Matthew Rodell,et al. Contemporary estimates of Pan‐Arctic freshwater discharge from GRACE and reanalysis , 2007 .
[10] Ying Fan,et al. Incorporating water table dynamics in climate modeling: 2. Formulation, validation, and soil moisture simulation , 2007 .
[11] F. Aires,et al. Global inundation dynamics inferred from multiple satellite observations, 1993–2000 , 2007 .
[12] Ying Fan,et al. Incorporating water table dynamics in climate modeling: 1. Water table observations and equilibrium water table simulations , 2007 .
[13] Guillaume Ramillien,et al. Validation of the land water storage simulated by Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) with Gravity Recovery and Climate Experiment (GRACE) data , 2007 .
[14] Matthew Rodell,et al. Attenuation effect on seasonal basin-scale water storage changes from GRACE time-variable gravity , 2007 .
[15] Bertrand Decharme,et al. Global validation of the ISBA sub-grid hydrology , 2007 .
[16] S. Swenson,et al. Remote sensing of groundwater storage changes in Illinois using the Gravity Recovery and Climate Experiment (GRACE) , 2006 .
[17] Dennis P. Lettenmaier,et al. Hydrology: Water from on high , 2006, Nature.
[18] Hubert H. G. Savenije,et al. The bias in GRACE estimates of continental water storage variations , 2006 .
[19] James L. Davis,et al. Land water storage within the Congo Basin inferred from GRACE satellite gravity data , 2006 .
[20] A. Cazenave,et al. Time variations of the regional evapotranspiration rate from Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry , 2006 .
[21] B. D. Tapley,et al. Satellite Gravity Measurements Confirm Accelerated Melting of Greenland Ice Sheet , 2006, Science.
[22] J. Wahr,et al. Acceleration of Greenland ice mass loss in spring 2004 , 2006, Nature.
[23] Guillaume Ramillien,et al. Interannual variations of the mass balance of the Antarctica and Greenland ice sheets from GRACE , 2006 .
[24] Naota Hanasaki,et al. A reservoir operation scheme for global river routing models , 2006 .
[25] E. Wood,et al. Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .
[26] H. Douville,et al. Uncertainties in the GSWP-2 precipitation forcing and their impacts on regional and global hydrological simulations , 2006 .
[27] J. Famiglietti,et al. Terrestrial water mass load changes from Gravity Recovery and Climate Experiment (GRACE) , 2006 .
[28] S. Swenson,et al. Post‐processing removal of correlated errors in GRACE data , 2006 .
[29] G. Niu,et al. Assessing a land surface model's improvements with GRACE estimates , 2006 .
[30] J. Wahr,et al. Measurements of Time-Variable Gravity Show Mass Loss in Antarctica , 2006, Science.
[31] Don P. Chambers,et al. Observing seasonal steric sea level variations with GRACE and satellite altimetry , 2006 .
[32] S. Swenson,et al. Accuracy of GRACE mass estimates , 2006 .
[33] S. Swenson,et al. Climate model biases in seasonality of continental water storage revealed by satellite gravimetry , 2006 .
[34] Florence Habets,et al. Impact of an Exponential Profile of Saturated Hydraulic Conductivity within the ISBA LSM: Simulations over the Rhône Basin , 2006 .
[35] Petra Döll,et al. GRACE observations of changes in continental water storage , 2006 .
[36] Vladimir V. Kilmjaninov. HYDROLOGICAL CONDITIONS FOR ACTIONS ON PREVENTION OF ICE FLOODING ON THE LENA RIVER , 2006 .
[37] Bertrand Decharme,et al. Introduction of a sub-grid hydrology in the ISBA land surface model , 2006 .
[38] Matthew Rodell,et al. Total basin discharge for the Amazon and Mississippi River basins from GRACE and a land‐atmosphere water balance , 2005 .
[39] J. Polcher,et al. A 53-year forcing data set for land surface models , 2005 .
[40] The impact on a GCM climate of an extended mosaic technique for the land-atmosphere coupling , 2004 .
[41] S. Seneviratne,et al. Basin scale estimates of evapotranspiration using GRACE and other observations , 2004 .
[42] M. Watkins,et al. GRACE Measurements of Mass Variability in the Earth System , 2004, Science.
[43] Victor Zlotnicki,et al. Time‐variable gravity from GRACE: First results , 2004 .
[44] H. Douville. Relevance of soil moisture for seasonal atmospheric predictions: is it an initial value problem? , 2004 .
[45] H. Douville. Assessing the Influence of Soil Moisture on Seasonal Climate Variability with AGCMs , 2003 .
[46] Peter M. Cox,et al. The Sensitivity of Global Climate Model Simulations to the Representation of Soil Moisture Heterogeneity , 2003 .
[47] S. Swenson,et al. Estimated accuracies of regional water storage variations inferred from the Gravity Recovery and Climate Experiment (GRACE) , 2003 .
[48] R. Lacaze,et al. A Global Database of Land Surface Parameters at 1-km Resolution in Meteorological and Climate Models , 2003 .
[49] J. B. Thomas,et al. Instrument of Grace: GPS augments gravity measurements , 2003 .
[50] P. Dirmeyer. Climate Drift in a Coupled Land–Atmosphere Model , 2001 .
[51] Praveen Kumar,et al. A catchment‐based approach to modeling land surface processes in a general circulation model: 1. Model structure , 2000 .
[52] R. Koster,et al. A catchment-based approach to modeling land surface processes in a general circulation model , 2000 .
[53] Paul J. Valdes,et al. Characterizing GCM land surface schemes to understand their responses to climate change. , 2000 .
[54] P. Dirmeyer. Using a global soil wetness dataset to improve seasonal climate simulation , 2000 .
[55] H. Douville,et al. Importance of vegetation feedbacks in doubled‐CO2 climate experiments , 2000 .
[56] Jean-François Mahfouf,et al. Evaluation of the Optimum Interpolation and Nudging Techniques for Soil Moisture Analysis Using FIFE Data , 2000 .
[57] J. Townshend,et al. Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .
[58] Jean-Christophe Calvet,et al. Inclusion of a Third Soil Layer in a Land Surface Scheme Using the Force–Restore Method , 1999 .
[59] H. Douville. Validation and sensitivity of the global hydrologic budget in stand-alone simulations with the ISBA land-surface scheme , 1998 .
[60] T. Oki,et al. Design of Total Runoff Integrating Pathways (TRIP)—A Global River Channel Network , 1998 .
[61] H. Douville,et al. A new snow parameterization for the Météo-France climate model , 1995 .
[62] S. Planton,et al. A Simple Parameterization of Land Surface Processes for Meteorological Models , 1989 .
[63] K. Beven,et al. A physically based, variable contributing area model of basin hydrology , 1979 .
[64] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .