a and b, spatial patterns of the difference in recovery time between hot-dry and dry events (ΔRT = RT hot-dry-RT dry) based on the NDVI and LAI, respectively. c and d, ΔRT under different aridity ...
This is a preview. Log in through your library . Abstract We propose a class of strongly efficient rare-event simulation estimators for random walks and compound Poisson processes with a regularly ...
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Machine learning improves accuracy of climate models—particularly for compound extreme events
Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
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