Comparisons of Simulations of Soil Moisture Variations in the Yellow River Basin Driven by Various Atmospheric Forcing Data Sets |
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| Authors: | LI Mingxing and MA Zhuguo |
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| Institution: | Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, Graduate University of Chinese Academy of Sciences, Beijing 100049,Key Laboratory of Regional Climate-Environment Research for Temperate East Asia,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 |
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| Abstract: | Based on station observations, The European Centre for Medium-Range Weather
Forecasts reanalysis (ERA40), the National Centers for Environmental
Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis
and Princeton University's global meteorological forcing data set
(Princeton), four atmospheric forcing fields were constructed for use in
driving the Community Land Model version 3.5 (CLM3.5). Simulated soil
moisture content throughout the period 1951--2000 in the Yellow River basin
was validated via comparison with corresponding observations in the upper,
middle, and lower reaches. The results show that CLM3.5 is capable of
reproducing not only the characteristics of intra-annual and annual
variations of soil moisture, but also long-term variation trends, with
different statistical significance in the correlations between the
observations and simulations from different forcing fields in various
reaches. The simulations modeled with station-based atmospheric forcing
fields are the most consistent with observed soil moisture, and the
simulations based on the Princeton data set are the second best, on average.
The simulations from ERA40 and NCEP/NCAR are close to each other in quality,
but comparatively worse to the other sources of forcing information that
were evaluated. Regionally, simulations are most consistent with
observations in the lower reaches and less so in the upper reaches, with the
middle reaches in between. In addition, the soil moisture simulated by
CLM3.5 is systematically greater than the observations in the Yellow River
basin. Comparisons between the simulations by CLM3.5 and CLM3.0 indicate
that simulation errors are primarily caused by deficiencies within CLM3.5
and are also associated with the quality of atmospheric forcing field
applied. |
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| Keywords: | soil moisture CLM3 5 multiple forcing fields the Yellow River basin |
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