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This digital dataset contains groundwater level observations for 364 wells, in addition to well construction information, from 1916 to 2014 in the Central Valley, California. Groundwater level observations are used to create groundwater level contours and to calibrate the groundwater levels for the updated Central Valley Hydrologic Model (CVHM2). Groundwater level observations were collected from five sources (USGS, 2018; SLDMWA, 2018; CADWR, 2004; CRNA, 2018).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Central Valley,
Groundwater,
United States,
Water Level,
Clouds often come in contact with vegetation (often named fogs) within a certain elevation range on Hawai‘i’s mountains. Propelled by strong winds, cloud droplets are driven onto the stems and leaves of plants where they are deposited. Some of the water that accumulates on the plants in this way drips to the ground, adding additional water over and above the water supplied by rainfall. Prior observations show that the amount of cloud water intercepted by vegetation is substantial, but also quite variable from place to place. It is, therefore, important to create a map for the complex spatial patterns of cloud water interception (CWI) in Hawai‘i. In this project, we propose to create the CWI map at 0.8-km resolution...
The present-day run starts on January 1st 1990 and ends on December 31st 2009. The purpose of the present-day run is twofold, e.g., to retrieve the present-day climate and to provide the downscaled high-resolution climate data. The future runs include two scenarios, one for RCP4.5 and the other one for RCP8.5. The future runs represent the time period from January 1st 2080 to December 31st 2099 although the date stamps used for projections are the same as those for the present-day run. The dynamical downscaling provides hourly atmospheric and land surface variables, such as rainfall, surface sensible heat fluxes and evaporation, radiative fluxes, wind, and temperature. These data were previously hosted on the cida.usgs.gov...
This data release consists of Microsoft Excel workbooks, shapefiles, and a figure (png format) related to a cooperative project between the U.S. Geological Survey (USGS) and the Florida Flood Hub for Applied Research and Innovation at the University of South Florida to derive projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future (2020-59 or 2050-89) to historical (1966-2005) extreme-precipitation depths fitted to extreme-precipitation data using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093....
Categories: Data,
Data Release - Revised;
Tags: Florida,
Florida,
Florida Flood Hub,
USGS Science Data Catalog (SDC),
climatologyMeteorologyAtmosphere,
This digital dataset includes three sets of observational data (groundwater level, streamflow, subsidence) used to calibrate the updated Central Valley Hydrologic Model (CVHM2). CVHM2 is a tool that can be used to quantify the sustainability of groundwater resources in the Central Valley.
Categories: Data Release - Revised;
Tags: California,
Central Valley,
Observation,
Streamflow,
Subsidence,
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