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harnessing weather radar legacy data for climate modeling
Incorporating the impacts of cloud formation into climate models is a long standing problem. Scott Collis developed software to transform weather radar data into a format that climate modelers can use, which opened up a huge new cloud data resource for climate modeling:
Scott Collis is a specialist in using remote sensing data to extract geophysical insight. He leads the radar products team at Argonne National Laboratory, and is the science lead on the Python-ARM Radar Toolkit and an expert in the remote sensing of precipitating cloud systems.
Scott is also the Translator for the ARM Climate Facility centimeter wavelength radars. In this role, he works with both instrument mentors and data users such as climate and fine scale modelers in order to provide the best possible measurements to improve the representation of cloud systems in global climate models. Scott’s research covers weather phenomena from Darwin to Oklahoma to the Arctic, with a particular focus on the interplay between large-scale forcing and local scale impacts.
http://www.anl.gov/contributors/scott-collis
Scott is also the Translator for the ARM Climate Facility centimeter wavelength radars. In this role, he works with both instrument mentors and data users such as climate and fine scale modelers in order to provide the best possible measurements to improve the representation of cloud systems in global climate models. Scott’s research covers weather phenomena from Darwin to Oklahoma to the Arctic, with a particular focus on the interplay between large-scale forcing and local scale impacts.
http://www.anl.gov/contributors/scott-collis
