Statistical Downscaling of Temperature with the Random Forest Model
نویسندگان
چکیده
منابع مشابه
Evaluating Changes and Forecasting Minimum Temperature in the West of Mazandaran Province Using Statistical Downscaling Model SDSM
In the vast majority parts of the Earth, a prospect now visible is the mostly synthetic thinking and fabrication by the human hand. Collision and impact of humans on the natural environment in the short and long-term courses for obvious geographical features have changed a variety of spaces. One of the consequences of human impact on the natural environment during the current period is the phen...
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Many downscaling algorithms have been proposed to address the issue of coarse-resolution land surface temperature (LST) derived from available satellite-borne sensors. However, few studies have focused on improving LST downscaling in arid regions (especially in deserts) because of inaccurate remote sensing LST products. In this study, LST was downscaled by a random forest model between LST and ...
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Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Global Circulation Models (GCMs) are a major tool used for future projections of climate change using different emission scenarios. However, for assessing the hydrological impacts of climate change at the watershed and the regional scale, ...
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ژورنال
عنوان ژورنال: Advances in Meteorology
سال: 2017
ISSN: 1687-9309,1687-9317
DOI: 10.1155/2017/7265178