Aerial sampling offers a new look at escaping gases that contribute to global climate change.
Offshore oil and gas platforms release more methane than previously estimated
Yulin Pan awarded MIDAS PODS grant for research predicting hydrological weather extremes
EXPERTS: Ashley Payne (CLaSP), Yulin Pan (NAME), and Xun Huan (ME) have been awarded a Propelling Original Data Science (PODS) grant for their project Optimal Design of Data Assimilation for the Prediction of Hydrological Extremes. The Michigan Institute for Data Science (MIDAS) announced today the awardees of its first round of Propelling Original Data Science […]