Atmospheric Science – Automated regression-based statistical downscaling of climate models

Atmospheric Science – Automated regression-based statistical downscaling of climate models
5 ( 1 vote )

Atmospheric Science – Automated regression-based statistical downscaling of climate models

The predictions from global or regional scale climate models are often too coarse for direct use at local scales. Statistical downscaling is a method used to predict local climate variables such as air temperature from global or regional scale models. Orhun Aydin from Esri’s Spatial Statistics Team presents a GIS-centric method for downscaling the Canadian Coupled Global Climate Model (CGCM).

Check Also

Georeferencing Satellite Image in ArcGIS

Georeferencing Satellite Image in ArcGIS

Rate this post Georeferencing Satellite Image in ArcGIS COVERED BY THIS TUTORIAL *PROJECTED COORDINATE SYSTEM ...

Leave a Reply

Your email address will not be published. Required fields are marked *