New Estimates of Variations in Water Flux and Storage over Europe Based on Regional (Re)Analyses and Multisensor Observations

Precipitation minus evapotranspiration, the net flux of water between the atmosphere and Earth's surface, links atmospheric and terrestrial water budgets and thus represents an important boundary condition for both climate modeling and hydrological studies. However, the atmospheric-terrestrial flux is poorly constrained by direct observations because of a lack of unbiased measurements. Thus, it is usually reconstructed from atmospheric reanalyses. Via the terrestrial water budget equation, water storage estimates from the Gravity Recovery and Climate Experiment (GRACE) combined with measured river discharge can be used to assess the realism of the atmospheric-terrestrial flux in models. In this contribution, the closure of the terrestrial water budget is assessed over a number of European river basins using the recently reprocessed GRACE release 05 data, together with precipitation and evapotranspiration from the operational analyses of high-resolution, limited-area NWP models [Consortium for Small-Scale Modelling, German version (COSMO-DE) and European version (COSMO-EU)] and the new COSMO 6-km reanalysis (COSMO-REA6) for the European Coordinated Regional Climate Downscaling Experiment (CORDEX) domain. These closures are compared to those obtained with global reanalyses, land surface models, and observation-based datasets. The spatial resolution achieved with the recent GRACE data allows for better evaluation of the water budget in smaller river basins than before and for the identification of biases up to 25 mm month(-1) in the different products. Variations of deseasoned and detrended atmospheric-terrestrial flux are found to agree notably well with flux derived from GRACE and discharge data with correlations up to 0.75. Finally, bias-corrected fluxes are derived from various data combinations, and from this, a 20-yr time series of catchment-integrated water storage variations is reconstructed.

[1]  Harald Kunstmann,et al.  The Hydrological Cycle in Three State-of-the-Art Reanalyses: Intercomparison and Performance Analysis , 2012 .

[2]  A. Güntner,et al.  Calibration analysis for water storage variability of the global hydrological model WGHM , 2009 .

[3]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[4]  B. Scanlon,et al.  GRACE Hydrological estimates for small basins: Evaluating processing approaches on the High Plains Aquifer, USA , 2010 .

[5]  A. Bárdossy,et al.  Continental-Scale Basin Water Storage Variation from Global and Dynamically Downscaled Atmospheric Water Budgets in Comparison with GRACE-Derived Observations , 2012 .

[6]  R. Koster,et al.  Assessment and Enhancement of MERRA Land Surface Hydrology Estimates , 2011 .

[7]  Jens Schröter,et al.  Global surface mass from a new combination of GRACE, modelled OBP and reprocessed GPS data , 2012 .

[8]  R. Dickinson,et al.  A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability , 2011 .

[9]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[10]  Andreas Güntner,et al.  Improvement of Global Hydrological Models Using GRACE Data , 2008 .

[11]  Stefan Rahmstorf,et al.  A decade of weather extremes , 2012 .

[12]  K. Trenberth Changes in precipitation with climate change , 2011 .

[13]  M. Rodell,et al.  Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin , 2008 .

[14]  U. Schneider,et al.  GPCC's new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle , 2013, Theoretical and Applied Climatology.

[15]  B. Scanlon,et al.  Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites , 2014 .

[16]  Hiroko Kato Beaudoing,et al.  Estimating evapotranspiration using an observation based terrestrial water budget , 2011 .

[17]  P. Döll,et al.  A global hydrological model for deriving water availability indicators: model tuning and validation , 2003 .

[18]  S. Seneviratne,et al.  Global intercomparison of 12 land surface heat flux estimates , 2011 .

[19]  Don P. Chambers,et al.  Evaluation of Release-05 GRACE time-variable gravity coefficients over the ocean , 2012 .

[20]  A. Sahoo,et al.  Multisource estimation of long-term terrestrial water budget for major global river basins , 2012 .

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

[22]  James S. Famiglietti,et al.  GRACE-Based Estimates of Terrestrial Freshwater Discharge from Basin to Continental Scales , 2007 .

[23]  C. K. Shum,et al.  Signals of extreme weather conditions in Central Europe in GRACE 4-D hydrological mass variations , 2008 .

[24]  T. Huntington Evidence for intensification of the global water cycle: Review and synthesis , 2006 .

[25]  M. Cheng,et al.  Variations in the Earth's oblateness during the past 28 years , 2004 .

[26]  S. Schubert,et al.  MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications , 2011 .

[27]  Sonia I. Seneviratne,et al.  Basin‐scale water‐balance estimates of terrestrial water storage variations from ECMWF operational forecast analysis , 2006 .

[28]  Hidde Leijnse,et al.  Triple Collocation of Summer Precipitation Retrievals from SEVIRI over Europe with Gridded Rain Gauge and Weather Radar Data , 2012 .

[29]  Diego G. Miralles,et al.  Magnitude and variability of land evaporation and its components at the global scale , 2011 .

[30]  Z. Martinec,et al.  Contribution of glacial-isostatic adjustment to the geocenter motion , 2011 .

[31]  S. Seneviratne,et al.  Evaluation of global observations‐based evapotranspiration datasets and IPCC AR4 simulations , 2011 .

[32]  J. Kusche Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models , 2007 .

[33]  C. Priestley,et al.  On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters , 1972 .

[34]  Michel Lang,et al.  Understanding Flood Regime Changes in Europe: A state of the art assessment , 2013 .

[35]  C. Schraff,et al.  Mesoscale data assimilation and prediction of low stratus in the Alpine region , 1997 .

[36]  S. Swenson,et al.  Accuracy of GRACE mass estimates , 2006 .

[37]  A. Arneth,et al.  Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations , 2011 .

[38]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[39]  Hubert H. G. Savenije,et al.  The bias in GRACE estimates of continental water storage variations , 2006 .

[40]  A. Cazenave,et al.  Time variations of the regional evapotranspiration rate from Gravity Recovery and Climate Experiment (GRACE) satellite gravimetry , 2006 .