SCALING, SOIL-MOISTURE AND EVAPOTRANSPIRATION IN RUNOFF MODELS

被引:24
|
作者
WOOD, EF
机构
[1] Water Resources Program, Princeton University, Princeton
基金
美国国家航空航天局;
关键词
Algorithms - Climatology - Data acquisition - Earth atmosphere - Evaporation - Linearization - Mathematical models - Moisture - Precipitation (meteorology) - Probability - Remote sensing - Soils;
D O I
10.1016/0309-1708(94)90021-3
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The effects of small-scale heterogeneity in land surface characteristics on the large-scale fluxes of water and energy in the land-atmosphere system has become a central focus of many of the climatology research experiments. The acquisition of high resolution land surface data through remote sensing and intensive land-climatology field experiments (like HAPEX and FIFE) has provided data to investigate the interactions between microscale land-atmosphere interactions and macroscale models. One essential research question is how to account for the small scale heterogeneities and whether 'effective' parameters can be used in the macroscale models. To address this question of scaling the probability distribution for evaporation is derived which illustrates the conditions for which scaling should work. A correction algorithm that may be appropriate for the land parametrization of a GCM is derived using a second order linearization scheme. The performance of the algorithm is evaluated.
引用
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页码:25 / 34
页数:10
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