Filters: Tags: Precipitation (Atmospheric) (X) > Types: Citation (X)
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This dataset provides estimates of annual and seasonal precipitation for selected Chesapeake Bay watersheds. Season 1 is November-February; season 2 is March-June; and season 3 is July-October.
Categories: Data;
Types: Citation;
Tags: Chesapeake Bay,
Delaware,
District of Columbia,
James River,
Maryland,
These geospatial data sets were developed as part of a new analysis of all known current and historical rain gages in the Luquillo Mountains, Puerto Rico published in the journal article Murphy, S.F., Stallard, R.F., Scholl, M.A., Gonzalez, G., and Torres-Sanchez, A.J., 2017, Reassessing rainfall in the Luquillo Mountains, Puerto Rico: Local and global ecohydrological implications: PLOS One 12(7): e0180987, p. 1-26, https://doi.org/10.1371/journal.pone.0180987. That article provides a revised map of mean annual precipitation developed using elevation regression functions and residual interpolation, and that map is presented here in a raster file. Most previous forest- and watershed-wide estimates of precipitation...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Caribbean Islands,
Climatology,
Cuchilla el Duque,
El Yunque National Forest,
Icacos watershed,
To facilitate camera-based snow depth observations without additional equipment installation, we developed a novel method implemented in an R package called edger to superimpose virtual measurement devices onto images. The virtual snow stakes can be used to derive snow depth measurements. We validated the method for snow depth estimation using camera data from Latah County, Idaho, USA in winter 2020–2021. Physical snow stakes were installed in the camera viewshed with which snow depth measurements were taken. Then, virtual snow stakes were superimposed on the images using edger and images were cropped to exclude the physical snow stake so that the two snow depth measurements could be compared. This dataset contains...
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Idaho,
Latah,
Latah,
Pacific Northwest,
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