Benchmarking Probabilisitc Machine Learning Models for....
iHARP Funded Research
Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice. Authored by: Sahara Ali, Seraj al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana Janeja....
Posted: September 19, 2022, 1:59 PM
Earth Science Information Partners (ESIP) Fellowship
Application Deadline: Ocober 7, 2022
Earth Science Information Partners (ESIP) is a collaboration based platform sponsored by NASA, NOAA and USGS. It is a community of partner organizations and volunteers who work together to meet...
Posted: September 13, 2022, 12:47 PM
iHARP featured in UMBC News Article
Data Science Meeting Climate Science to Lead Changes
Some of the UMBC iHARP team. (Marlayna Demond '11/UMBC) Snippet of the UMBC Article: Tens of millions of people live in areas that are at risk for flooding due to climate change, sea...
Posted: September 2, 2022, 12:21 PM
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