Filters: Tags: eddy covariance (X) > Types: OGC WMS Layer (X)
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This data release includes simulation output from SnowModel (Liston and Elder, 2006), a well-validated process-based snow modeling system, and supporting snow, meteorological, and streamflow observations from the water years 2011 through 2015 (October 1, 2010, through September 30, 2015) across a 3,600 square kilometer model domain in the north-central Colorado Rocky Mountains. For each water year, SnowModel simulations were completed for a (1) baseline simulation, (2) bark-beetle disturbance condition simulation, (3) 2016 - 2035 future climate condition simulation (S1), and (4) 2046 - 2065 future climate condition simulation (S2). Sexstone and others (2018) provide details and summarize findings from each of the...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bark beetles,
Climate warming,
Climatology,
Colorado Rocky Mountains,
Eddy covariance,
This USGS data release represents supplemental tabular data for an annual groundwater discharge by evapotranspiration (ET) from areas of spring-fed riparian vegetation, Stump Spring and Hiko Springs, Clark County, Nevada, 2016-18. The raw ET dataset contained multiple data gaps that were simulated and gap-filled with the water-level model utility in SeriesSEE, a USGS developed Microsoft Excel® addin. Continuous time-series data, including net radiation, sensible-heat flux, latent-heat flux, and ground-heat flux, from before and after the data gap(s) were used to simulate turbulent fluxes with multivariate regressions and the gramma transform, used for latent heat gaps after precipitation events. ET data were gap...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Clark County,
Hiko Springs,
Stump Spring,
USGS Science Data Catalog (SDC),
Water Resources,
The estimation and mapping of actual evapotranspiration (ETa) is an active area of applied research in the fields of agriculture and water resources. Thermal remote sensing-based methods, using coarse resolution satellites, have been successful at estimating ETa over the conterminous United States (CONUS) and other regions of the world. In this study, we present CONUS-wide ETa from Landsat thermal imagery-using the Operational Simplified Surface Energy Balance (SSEBop) model in the Google Earth Engine (GEE) cloud computing platform. Over 150,000 Landsat satellite images were used to produce 10 years of annual ETa (2010-2019). The accuracy assessment of the SSEBop results included point-based evaluation using monthly...
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