An evaluation of the success of MORECS, a meteorological model, in estimating soil moisture deficits

Catriona M.K Gardner, M Field
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引用次数: 23

Abstract

MORECS is an acronym for the Meteorological Office rainfall and evaporation calculation system. In its operational form it uses daily meteorological data to produce weekly estimates of evapotranspiration, soil moisture deficit (SMD) and hydrologically effective rainfall for each square of a 40 × 40 km grid superimposed upon Great Britain. Grid square estimates of meteorological data are found using interpolation methods. A modified version of the Penman—Monteith equation is used to calculate evapotranspiration; a two-reservoir model is used to simulate the extraction of water in the SMD calculations.

The accuracy of SMD estimation by MORECS was investigated, for grassland, by comparing the SMDs with field-measurements made using neutron probes. MORECS was run retrospectively using meteorological data from stations close to the soil moisture measurement sites, to produce point SMD estimates. The effects of the interpolation methods were thus circumvented.

The principal finding was that there was a definite bias in the model towards SMD overestimation in nearly all years except those with very dry summers when underestimation occurred. The reasons for this are explored and areas where improvements might be made are outlined.

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气象模式MORECS在估算土壤水分亏缺方面的成功评价
MORECS是气象局降雨和蒸发计算系统的缩写。在其操作形式中,它使用每日气象数据来产生每周蒸散、土壤水分亏缺(SMD)和水文有效降雨量的估计,这些数据是叠加在英国上空的40 × 40公里网格的每平方。利用插值方法求得气象数据的网格平方估计。采用修正版的Penman-Monteith方程计算蒸散发;在SMD计算中,采用双储层模型来模拟水的抽取。通过与中子探针野外测量结果的比较,研究了MORECS估算草地SMD的精度。MORECS利用靠近土壤湿度测量点的气象站的气象数据进行回顾性运行,以产生点SMD估计。这样就避免了插值方法的影响。主要发现是,除了夏季非常干燥的年份外,几乎所有年份的模型都明显偏向于SMD的高估。本文探讨了造成这种情况的原因,并概述了可能进行改进的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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