Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 372833
Title Evaluation of European Land Data Assimilation System (ELDAS) products using in site observations
Author(s) Jacobs, C.M.J.; Moors, E.J.; Maat, H.W. ter; Teuling, A.J.; Balsamo, G.; Bergaoui, K.; Ettema, J.; Lange, M.; Hurk, B.J.J.M. van den; Viterbo, P.; Wergen, W.
Source Tellus Series A: Dynamic Meteorology and Oceanography 60 (2008)5. - ISSN 0280-6495 - p. 1023 - 1037.
Department(s) Alterra - Centre for Water and Climate
Hydrology and Quantitative Water Management
ALTERRA Wageningen UR
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) soil-moisture analysis - surface parameterization scheme - screen-level observations - experiment ebex-2000 - variational analysis - energy-balance - water-vapor - model - carbon - field
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
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