Climate Change and Urbanization: Team Employs New Modeling Framework
Process-based climate modeling and machine learning/artificial intelligence produce a real simulation of climate dynamics in urban landscapes.
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Process-based climate modeling and machine learning/artificial intelligence produce a real simulation of climate dynamics in urban landscapes.
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iSEE’s Q&A with Midwest Climate Adaptation Science Center grad student Rohini Vembar, who helped build the tool with the Illinois Natural History Survey.
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Paul Mwebaze likes American football, European football, and agrivoltaics. Let’s break that down if it’s confusing: the first is football,…
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Vikram Kumar was always a bright student in elementary and high school, but he felt constrained by the lack of…
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Thanks to the work of Sabrina Summers and her University of Illinois research teammates, you might be able to power…
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Xiangmin “Sam” Sun is a postdoc focusing on field observation of greenhouse gas fluxes for biofuel crops, and has interests…
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The architecture of a plant’s organs, such as leaves, stems, roots, and buds, plays a significant role in its growth…
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Nictor Namoi could have studied anywhere in the world, and he chose to travel all the way from Kenya to…
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Crop researchers worldwide are constantly advancing our understanding of the plants we rely on. One approach that many scientists take…
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