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Original Research Papers

Evaluation of European Land Data Assimilation System (ELDAS) products using in situ observations

Authors:

C. M. J. Jacobs ,

Alterra, Wageningen UR, Droevendaalsesteeg 4, P.O. Box 47, 6700 AA Wageningen, NL
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E. J. Moors,

Alterra, Wageningen UR, Droevendaalsesteeg 4, P.O. Box 47, 6700 AA Wageningen, NL
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H. W. Ter Maat,

Alterra, Wageningen UR, Droevendaalsesteeg 4, P.O. Box 47, 6700 AA Wageningen, NL
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A. J. Teuling,

Wageningen University, Hydrology and Quantitative Water Management Group, Wageningen, NL
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G. Balsamo,

Météo-France-CNRM, Toulouse, FR; European Centre for Medium-Range Weather Forecasts, Reading, GB
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K. Bergaoui,

Météo-France-CNRM, Toulouse, FR
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J. Ettema,

European Centre for Medium-Range Weather Forecasts, Reading, UK; Utrecht University, Institute for Marine and Atmospheric Research, Utrecht, NL
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M. Lange,

Deutscher Wetterdienst, Offenbach, DE
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B. J. J. M. Van Den Hurk,

Royal Netherlands Meteorological Institute, De Bilt, NL
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P. Viterbo,

European Centre for Medium-Range Weather Forecasts, Reading, UK; Instituto de Meteorologia, Lisboa, PT
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W. Wergen

Deutscher Wetterdienst, Offenbach, DE
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Abstract

Three land-surface models with land-data assimilation scheme (DA) were evaluated for one growing season using in situ observations obtained across Europe. To avoid drifts in the land-surface state in the models, soil moisture corrections are derived from errors in screen-level atmospheric quantities. With the in situ data it is assessed whether these land-surface schemes produce adequate results regarding the annual range of the soil water content, the monthly mean soil moisture content in the root zone and evaporative fraction (the ratio of evapotranspiration to energy available at the surface). DA considerably reduced bias in net precipitation, while slightly reducing RMSE as well. Evaporative fraction was improved in dry conditions but was hardly affected in moist conditions. The amplitude of soil moisture variations tended to be underestimated. The impact of improved land-surface properties like Leaf Area Index, water holding capacity and rooting depth may be as large as corrections of the DA systems. Because soil moisture memorizes errors in the hydrological cycle of the models, DA will remain necessary in forecast mode. Model improvements should be balanced against improvements of DA per se. Model bias appearing from persistent analysis increments arising from DA systems should be addressed by model improvements.

How to Cite: Jacobs, C.M.J., Moors, E.J., Ter Maat, H.W., Teuling, A.J., Balsamo, G., Bergaoui, K., Ettema, J., Lange, M., Van Den Hurk, B.J.J.M., Viterbo, P. and Wergen, W., 2008. Evaluation of European Land Data Assimilation System (ELDAS) products using in situ observations. Tellus A: Dynamic Meteorology and Oceanography, 60(5), pp.1023–1037. DOI: http://doi.org/10.1111/j.1600-0870.2008.00351.x
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  Published on 01 Jan 2008
 Accepted on 5 Jun 2008            Submitted on 28 Jun 2007

References

  1. Aubinet , M. , Grelle , A. , Ibrom , A. , Rannik , U. , Moncrieff , J. , and co-authors. 2000. Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology . Adv. EcoL Res . 30 , 113 - 175 .  

  2. Baldocchi , D. , Falge , E. , Gu , L. , Olson , R. , Hollinger , D. , and co-authors. 2001. FLUXNET: a new tool to study the temporal and spatial vari-ability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities . Bull. Am. Met. Soc . 82 , 2415 - 2434 .  

  3. Balsamo , G. , Bouyssel , F. and Noilhan , J. 2004 . A simplified bi-dimensional variational analysis of soil moisture from screen-level observations in a mesoscale numerical weather-prediction model . Q. J. R. Meteorol. Soc . 130 , 895 – 915 .  

  4. Balsamo , G. , Bouyssel , F. , Noilhan , J. , Mahfouf , J.-F. , Belair , S. , and co-authors. 2005. A simplified variational analysis scheme for soil mois-ture: Developments at Meteo-France and MSC. ECMWF/ELDAS workshop on Land Surface Assimilation. In: ECMWF Proceedings. ECMWT; Reading, UK , 79 - 96 .  

  5. Bastiaanssen , W. G. M. 1995 . Regionalization of surface flux densi-ties and moisture indicators in composite terrain: a remote sensing approach under clear skies in Mediterranean climates . Sc-DLO , Wa-geningen , 273 pp .  

  6. Bell , V. A. , Blyth , E. M. and Moore , R. J. 2005 . The use of soil mois-ture in hydrological forecasting. ECMWF/ELDAS workshop on Land Surface Assimilation. In: ECMWF Proceedings. ECMWF, Reading, UK , 147 - 152 .  

  7. Betts , A. K. and Viterbo , P. 2005 . Land-surface, boundary layer, and cloud-field coupling over the southwestern Amazon in ERA-40 . J. Geophys. Res . 110 , D14108 , https://doi.org/10.1029/2004JDO05702 .  

  8. Courtier , P. , Freydier , C. , Geleyn , J. E , Rabier , F. and Rochas , M. 1991 . The ARPEGE project at Meteo-France . Proc. ECMWF Seminar 2 , 193 – 232 .  

  9. Denmead , O. T. and Shaw , R. H. 1962 . Availability of soil water to plants as affected by soil moisture content and meteorological conditions. Agron. J . 54 , 385 - 390 .  

  10. Doms , G. , Förstner , J. , Heise , E. , Herzog , H.-J. , Raschendorfer , M. , and co-authors. 2005. A description of the nonhydrostatic regional model LM, part II: physical parameterization. Available from DWD, Offen-bach, and http://cosmo-model.cscs.ch/public/documentation.htmit2 , 133 pp .  

  11. Doms G. and Schättler , U. 2002 . Documentation of the COSMO-model. Part I: physical parameterization. Avail-able from DWD, Offenbach, and http://www.cosmo-model.org/content/model/documentation/core. 140 pp .  

  12. Douville , H. , Viterbo , P. , Mahfouf , J. F. and Beljaars , A. C. M. 2000 . Evaluation of the optimum interpolation and nudging techniques for soil moisture analysis using 1,11-, E data. Mon. Wea. Re v . 128 , 1733 – 1756 .  

  13. Drusch , M. 2007 . Initializing numerical weather prediction models with satellite derived surface soil moisture: data assimilation experiments with ECMWF’s Integrated Forecast System . J. Geophys. Res . 112 , D03102 , https://doi.org/10.1029/2006JD007478 .  

  14. Ebert , E. E. , Damrath , U. , Wergen , W. and Baldwin , M. E. 2003 . The WGNE assessment of short-term quantitative precipitation forecasts . Bull. Am. Met. Soc . 84 , 481 – 492 .  

  15. Ek , M. B. and Holtslag , A. A. M. 2004 . Influence of soil moisture on boundary layer cloud development . J. Hydromet . 5 , 86 – 99 .  

  16. Ferranti , L. and Viterbo , P. 2006 . The European summer of 2003: sensi-tivity to soil water initial conditions . J. Climate 19 , 3659 – 3680 .  

  17. Hess , R. 2001 . Assimilation of screen level observations by vari-ational soil moisture analysis . Meteorol. Atmos. Phys . 77 , 145 – 154 .  

  18. Hess , R. , Lange , M. and Wergen , W. 2008 . Evaluation of the variational soil moisture assimilation scheme at Deutscher Wetterdienst (DWD). Q.J.R. Meteorol. Soc . (in press).  

  19. Houser , P. R. , Shuttleworth , W. J. , Famiglietti , J. S. , Gupta , H. V , Syed , K. H., and co-authors . 1998. Integration of soil moisture remote sens-ing and hydrologic modeling using data assimilation. Water Resour Res . 34 , 3405-342 0 .  

  20. Jacobs , A. F. G. , Heusinlcveld , B. G. , and Holtslag , A. A. M. 2008 . Towards closing the surface energy budget of a mid-latitude grassland . Boundary-Layer Meteorol . 126 , 125 – 136 .  

  21. Jacobs , C. M. J. and De Bruin , H. A. R. 1992 . The Sensitivity of re-gional transpiration to land-surface characteristics - significance of feedback . J. Climate 5 , 683 – 698 .  

  22. Jarvis , P. G. 1976 . The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field . Phil. Trans. R. Soc. B 293 , 593 – 610 .  

  23. Jarvis , P. G. and McNaughton , K. G. 1986 . Stomatal control of transpiration-scaling up from leaf to region . Adv. EcoL Res . 15 , 1 – 49 .  

  24. Lindhardt , B. , Abildtrup , C. , Vosgerau , H. , Olsen , P. , Torp , S. , and co-authors. 2001. The Danish Pesticide Leaching Assessment Pro-gramme. Site Characterization and Monitoring Design. Geological Survey of Denmark and Greenland, Copenhagen , 74 pp .  

  25. Loveland , T. R. , Reed , B. C. , Brown , J. F. , Ohlen , D. O. , Zhu , Z., and co-authors . 2000. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. Int. J. Remote Sens . 21 , 1303 - 1330 .  

  26. Mahfouf , J. F. 1991 . Analysis of soil-moisture from near-surface parameters-a feasibility study . J. Appl. MeteoroL 30 , 1534 – 1547 .  

  27. Masson , V. , Champeaux , J.-L. , Chauvin , F. , Meriguet , C. and Lacaze , R. 2003 . A global database of land surface parameters at 1-km resolution in meteorological and climate models . J. Climate 16 , 1261 – 1282 .  

  28. Mauder , M. , Oncley , S. , Vogt , R. , Weidinger , T. , Ribeiro , L. , and co-authors. 2007. The energy balance experiment EBEX-2000. Part II: Intercomparison of eddy-covariance sensors and post-field data processing methods . Boundary-Layer MeteoroL 123 , 29 - 54 .  

  29. Meetschen , D. , Van Den Hurk , B. , Ament , F. and Drusch , M. 2004 . Optimized surface radiation fields derived from Meteosat imagery and a regional atmospheric model . J. Hydromet . 5 , 1091 – 1101 .  

  30. Meijninger , W. M. L. , Green , A. E. , Hartogensis , O. K. , Kohsiek , W., Hoedjes , J. C. B. , and co-authors . 2002 . Determination of area-averaged water vapor fluxes with large aperture and radio wave scin-tillometers over a heterogeneous surface-flevoland field experiment . Boundary-Layer MeteoroL 105 , 63 - 83 .  

  31. Moene , A. and De Bruin , H. A. R. 2001 . Sensible heat flux data derived from the scintillometers. In: Advanced Earth Observations - Land Surface Climate (eds Z . Su and C. Jacobs . Final Report. BCRS Reports. BCRS, 85 - 90 .  

  32. Noilhan , J. and Mahfouf , J.-E 1996 . The ISBA land surface parameter-isation scheme . Global Planet. Change 13 , 145 – 159 .  

  33. Oncley , S. , Foken , T. , Vogt , R. , Kohsiek , W. , DeBruin , H. , and co-authors . 2007. The Energy Balance Experiment EBEX-2000. Part I: overview and energy balance. Boundary-Layer MeteoroL 123 , 1 - 28 .  

  34. Priestley , C. H. B. and Taylor , R. J. 1972 . On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters . Mon. Wea. Rev . 100 , 81 – 92 .  

  35. Raschke , E. , Meywerk , J. , Warrach , K. , Andrea , U. , Bergstrom , S. , and co-authors. 2001. The Baltic Sea Experiment (BALTEX): a European contribution to the investigation of the energy and water cycle over a large drainage basin . Bull. Am. Met. Soc . 82 , 2389 - 2413 .  

  36. Rhodin , A. , Kucharski , F. , Callies , U. , Eppel , D. P. and Wergen , W. 1999 . Variational analysis of effective soil moisture from screen-level atmospheric parameters: application to a short-range weather forecast model . Q. J. R. MeteoroL Soc . 125 , 2427 – 2448 .  

  37. Robock , A. , Schlosser , C. A. , Vinnikov , K. Y. , Speranskaya , N. A. , Entin J. K. , and co-authors . 1998 . Evaluation of the AM1P soil moisture simulations. Global Planet. Change 19 , 181 - 208 .  

  38. Rubel , F. , Brugger , K. , Skomorowslci , P. and Kottek , M. 2005 . Daily and 3-hourly Quantitative Precipitation Estimation for EL-DAS. ECMWF/ELDAS workshop on Land Surface Assimilation. In: ECMWF - Proceedings. ECMWF, Reading, UK , 19 - 32 .  

  39. Santanello , J. A. , Friedl , M. A. and Kustas , W. P. 2005 . An empirical investigation of convective planetary boundary layer evolution and its relationship with the land surface . J. Appl. MeteoroL 44 , 917 – 932 .  

  40. Seuffert , G. , Wilker , H. , Viterbo , P. , Drusch , M. and Mahfouf , J.-F. 2004. The usage of screen-level parameters and microwave brightness temperature for soil moisture analysis. J. Hydromet . 5 , 516 - 531 .  

  41. Teuling , A. J. , Uijlenhoet , R. , Hupet , F. and Troch , P. A. 2006 . Impact of plant water uptake strategy on soil moisture and evapotranspi-ration dynamics during drydown . Geophys. Res. Lett . 33 , L0340103410.01029/02005GL025019  

  42. Uppala , S. M. , Kallberg , P. W., Simmons , A. J. , Andrae , U. , Bechtold , V. D. , and co-authors . 2005 . The ERA-40 re-analysis . Q. J. R. MeteoroL Soc . 131 , 2961 - 3012 .  

  43. Valentini , R. , Matteucci , G. , Dolman , A. J. , Schulze , E. D. , Rebmann , C. , and co-authors , 2000 . Respiration as the main determinant of carbon balance in European forests. Nature 404 , 861 - 865 .  

  44. Van Den Hurk , B. J. J. M. 2002 . European LDAS established . Gewez Newslett . 12 , 9 .  

  45. Van Den Hurk , B. J. J. M. , Bastiaanssen , W. G. M. , Pelgrum , H. and Van Meijgaard , E. 1997 . A new methodology for assimilation of initial soil moisture fields in weather prediction models using Meteosat and NOAA data . J. Appl. MeteoroL 36 , 1271 – 1283 .  

  46. Van Den Hurk , B. J. J. M. , Enema J. and Viterbo , P., 2008 . Analysis of soil moisture changes in Europe during a single growing season in a new ECMWF soil moisture assimilation system . J. Hydromet . 9 , 116 – 131 .  

  47. Van Den Hurk , B. J. J. M. , Viterbo , P. , Beljaars , A. C. M. and Betts , A. K. 2000 . Offline validation of the ERA40 surface scheme . In: Technical Memorandum 295 , European Centre for Medium-Range Weather Forecasts , Reading .  

  48. Viterbo , P. 1996 . The representation of surface processes in general circulation models. In: ECMWF , Reading , UK , 201 pp .  

  49. Viterbo , P. and Beljaars , A. C. M. 1995 . An improved land surface parameterization scheme in the ECMWF model and its validation . J. Climate 8 , 2716 – 2748 .  

  50. Wergen , W. , Hess , R. and Lange , M. 2005 . Variational soil assimilation at DWD. In: ECMWF/ELDAS workshop on Land Surface Assimilation. ECMWF - Proceedings. ECMWF, Reading, UK , 69 - 77 .  

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