Filters: Contacts: {oldPartyId:65159} (X) > partyWithName: Gabriel Senay (X)
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Landscape Evaporative Response Index (LERI) is remotely-sensed high-resolution information of the evaporative response from the land in near real time. LERI assesses anomalies in actual evapotranspiration (ETa), as percentiles, across the Contiguous US and northern Mexico at a 1-km spatial resolution. LERI is based on the ETa data produced by the U. S. Geological Survey using the operational Simplified Surface Energy Balance (SSEBop) model. SSEBop combines evapotranspiration fraction generated from remotely sensed MODIS thermal imagery, acquired every 8 days, with climatological atmospheric evaporative demand. To quantify LERI, a rank-based, non-parametric method is used to estimate percentiles of the SSEBop ETa,...
Categories: Data;
Tags: Drought,
Drought, Fire and Extreme Weather,
North Central CASC,
Science Tools For Managers,
State of the Science
This project facilitated the engagement of the North Central Climate Adaptation Science Center’s (NC CASC) Climate Foundational Science Area (FSA) to identify and address the physical climate science challenges that are important for ecologists and natural resource managers in the NC CASC region, as well as meet their needs for climate information to assess impacts to their desired system and develop strategies for effective climate adaptation. A drought index called the Landscape Evaporative Response Index (LERI) was developed to provide a near real-time assessment of soil moisture conditions across the Contiguous United States (CONUS) based on satellite observations. This projects also supported development of...
Categories: Publication;
Types: Citation;
Tags: Drought,
Drought, Fire and Extreme Weather,
EDDI,
North Central CASC,
Science Tools For Managers,
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