Climatic and landscape changes as drivers of environmental feedback that influence rainfall frequency in the United States.

ABSTRACT: Previous studies have identified regions where the occurrence of rainfall significantly increases or decreases the probability for subsequent rainfall over periods that range from a few days to several weeks. These observable phenomena are termed "rainfall feedback" (RF). To better understand the land-atmosphere interactions involved in RF, the behavior of RF patterns was analyzed using data from 1849 to 2016 at ~3000 sites in the contiguous United States. We also considered changes in major land-use types and applied a geographically weighted regression model technique for analyzing the predictors of RF. This approach identified non-linear and spatially non-stationary relationships between RF, climate, land use, and land type. RF patterns in certain regions of the United States are predic

SUBMITTER: Moore RA 

PROVIDER: S-EPMC9292682 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature