Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis

Abstract. Land evapotranspiration (ET) estimates are available from several global data sets. Here, monthly global land ET synthesis products, merged from these individual data sets over the time periods 1989–1995 (7 yr) and 1989–2005 (17 yr), are presented. The merged synthesis products over the shorter period are based on a total of 40 distinct data sets while those over the longer period are based on a total of 14 data sets. In the individual data sets, ET is derived from satellite and/or in situ observations (diagnostic data sets) or calculated via land-surface models (LSMs) driven with observations-based forcing or output from atmospheric reanalyses. Statistics for four merged synthesis products are provided, one including all data sets and three including only data sets from one category each (diagnostic, LSMs, and reanalyses). The multi-annual variations of ET in the merged synthesis products display realistic responses. They are also consistent with previous findings of a global increase in ET between 1989 and 1997 (0.13 mm yr−2 in our merged product) followed by a significant decrease in this trend (−0.18 mm yr−2), although these trends are relatively small compared to the uncertainty of absolute ET values. The global mean ET from the merged synthesis products (based on all data sets) is 493 mm yr−1 (1.35 mm d−1) for both the 1989–1995 and 1989–2005 products, which is relatively low compared to previously published estimates. We estimate global runoff (precipitation minus ET) to 263 mm yr−1 (34 406 km3 yr−1) for a total land area of 130 922 000 km2. Precipitation, being an important driving factor and input to most simulated ET data sets, presents uncertainties between single data sets as large as those in the ET estimates. In order to reduce uncertainties in current ET products, improving the accuracy of the input variables, especially precipitation, as well as the parameterizations of ET, are crucial.

[1]  P. Jones,et al.  REPRESENTING TWENTIETH CENTURY SPACE-TIME CLIMATE VARIABILITY. , 1998 .

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

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

[4]  Dieter Gerten,et al.  Effects of Precipitation Uncertainty on Discharge Calculations for Main River Basins , 2009 .

[5]  Eric F. Wood,et al.  Comparison and evaluation of gridded radiation products across northern Eurasia , 2009 .

[6]  A. Dai,et al.  Surface Observed Global Land Precipitation Variations during 1900-88 , 1997 .

[7]  Eric F. Wood,et al.  Long-Term Regional Estimates of Evapotranspiration for Mexico Based on Downscaled ISCCP Data , 2010 .

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

[9]  S. Seneviratne,et al.  A regional perspective on trends in continental evaporation , 2009 .

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

[11]  Martin Wild,et al.  The Earth radiation balance as driver of the global hydrological cycle , 2010 .

[12]  T. Oki,et al.  Multimodel Estimate of the Global Terrestrial Water Balance: Setup and First Results , 2011 .

[13]  G. Schmidt,et al.  20th century changes in surface solar irradiance in simulations and observations , 2007 .

[14]  W. B. Bennett,et al.  Estimation of Global Ground Heat Flux , 2007 .

[15]  Michael G. Bosilovich,et al.  NASA’s modern era retrospective-analysis for research and applications: integrating Earth observations , 2008 .

[16]  S. Seneviratne,et al.  Hot days induced by precipitation deficits at the global scale , 2012, Proceedings of the National Academy of Sciences.

[17]  S. Seneviratne Climate science: Historical drought trends revisited , 2012, Nature.

[18]  T. Holmes,et al.  Global land-surface evaporation estimated from satellite-based observations , 2010 .

[19]  D. Baldocchi,et al.  Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites , 2008 .

[20]  A. Bondeau,et al.  Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model , 2009 .

[21]  Sonia I. Seneviratne,et al.  Observational evidence for soil-moisture impact on hot extremes in southeastern Europe , 2011 .

[22]  E. Wood,et al.  Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .

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

[24]  Shaohua Zhao,et al.  Satellite detection of increases in global land surface evapotranspiration during 1984–2007 , 2012, Int. J. Digit. Earth.

[25]  U. Schneider,et al.  Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation information , 1995 .

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

[27]  Martin Wild,et al.  Combined surface solar brightening and increasing greenhouse effect support recent intensification of the global land‐based hydrological cycle , 2008 .

[28]  Shunlin Liang,et al.  An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[29]  R. Dickinson,et al.  Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development , 2010 .

[30]  E. Wood,et al.  Little change in global drought over the past 60 years , 2012, Nature.

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

[32]  C. Adam Schlosser,et al.  Assessing Evapotranspiration Estimates from the Second Global Soil Wetness Project (GSWP-2) Simulations , 2010 .

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

[34]  Customer-oriented Data Formats and Services for Global Land Data Assimilation System (GLDAS) Products at the NASA GES DISC , 2008 .

[35]  Sonia I. Seneviratne,et al.  Inferring changes in terrestrial water storage using ERA-40 reanalysis data: The Mississippi River Basin , 2004 .

[36]  S. Seneviratne,et al.  Investigating soil moisture-climate interactions in a changing climate: A review , 2010 .

[37]  H. Douville,et al.  Anthropogenic influence on multidecadal changes in reconstructed global evapotranspiration , 2012 .

[38]  S. Seneviratne,et al.  Basin scale estimates of evapotranspiration using GRACE and other observations , 2004 .

[39]  S. Hagemann,et al.  Can climate trends be calculated from reanalysis data , 2004 .

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

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

[42]  Sonia I. Seneviratne,et al.  New diagnostic estimates of variations in terrestrial water storage based on ERA‐Interim data , 2011 .

[43]  Yongqiang Zhang,et al.  Using long‐term water balances to parameterize surface conductances and calculate evaporation at 0.05° spatial resolution , 2010 .

[44]  M. Hulme,et al.  Precipitation measurements and trends in the twentieth century , 2001 .

[45]  I. C. Prentice,et al.  A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system , 2005 .

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

[47]  E. Wood,et al.  Characteristics of global and regional drought, 1950–2000: Analysis of soil moisture data from off‐line simulation of the terrestrial hydrologic cycle , 2007 .

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

[49]  W. J. Shuttleworth,et al.  Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century , 2011 .

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

[51]  Shunlin Liang,et al.  Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 2. Results , 2010 .

[52]  V. Kousky,et al.  Assessing objective techniques for gauge‐based analyses of global daily precipitation , 2008 .

[53]  P. Jones,et al.  Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of 1901-96 Monthly Grids of Terrestrial Surface Climate , 2000 .

[54]  S. Seneviratne,et al.  Land–atmosphere coupling and climate change in Europe , 2006, Nature.

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

[56]  Uang,et al.  The NCEP Climate Forecast System Reanalysis , 2010 .