搜索结果: 1-6 共查到“理学 Statistical downscaling”相关记录6条 . 查询时间(0.074 秒)
Statistical downscaling of MODIS thermal imagery to Landsat 5tm + resolutions
Statistical downscaling MODIS thermal Landsat 5tm + resolutions
2015/1/9
Statistical downscaling of MODIS thermal imagery to Landsat 5tm + resolutions.
Climate change assessment for Mediterranean agricultural areas by statistical downscaling
Climate change assessment Mediterranean agricultural areas statistical downscaling
2010/10/21
In this paper we produce projections of seasonal precipitation for four Mediterranean areas: Apulia region (Italy), Ebro river basin (Spain), Po valley (Italy) and Antalya province (Turkey). We perfor...
Evaluation of a statistical downscaling procedure for the estimation of climate change impacts on droughts
Evaluation statistical downscaling procedure estimation climate change impacts droughts
2009/12/8
Despite uncertainties in future climates, there is considerable evidence that there will be substantial impacts on the environment and human interests. Climate change will affect the hydrology of a re...
Evaluation of a statistical downscaling procedure for the estimation of climate change impacts on droughts
statistical downscaling procedure estimation climate change impacts droughts
2009/12/16
Despite uncertainties in future climates, there is considerable evidence that there will be substantial impacts on the environment and human interests. Climate change will affect the hydrology of a re...
Utility of daily vs. monthly large-scale climate data：an intercomparison of two statistical downscaling methods
bias correction and spatial downscaling General Circulation Model climate data
2009/4/29
Downscaling of climate model data is essential to local and regional impact analysis. We compare two methods of statistical downscaling to produce continuous, gridded time series of precipitation and ...
Non-linear statistical downscaling of present and LGM precipitation and temperatures over Europe
Non-linear statistical LGM Europe
2008/11/7
Local-scale climate information is increasingly needed for the study of past, present and future climate changes. In this study we develop a non-linear statistical downscaling method to generate local...