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To address the data and information gap for characterizing coastal drought, a coastal salinity index (CSI) was developed using salinity data (Conrads 2016; Conrads and Darby, 2017). The CSI uses an approach similar to the Standardized Precipitation Index (SPI), a readily available drought index that is widely used for monitoring meteorological droughts (McKee and others, 1993). The CSI substitutes total monthly precipitation with monthly mean salinity data to determine the probability of recording a given salinity value in a particular month. The initial investigation demonstrated that the index could be used to delineate short- and long-term drought (saline) and wet (high freshwater inflow) conditions; however,...
Categories: Data;
Tags: Everglades National Park,
USGS Science Data Catalog (SDC),
brackish,
ecology,
estuary,
Monthly Standardize Precipitation Evapotranspiration Index (SPEI), Daily soil-water potential (MPa) and soil temperature (degree C) data for plots from SageSuccess. The SageSuccess Project is a joint effort between USGS, BLM, and FWS to understand how to establish big sagebrush and ultimately restore functioning sagebrush ecosystems. Improving the success of land management treatments to restore sagebrush-steppe is important for reducing the long-term impacts of rangeland fire on sage-grouse and over 350 other wildlife species that use these habitats.
This dataset contains annual flow metrics quantifying drought and low streamflows for USGS GAGES-2 gages in the contiguous U.S. satisfying data completeness checks for the periods 1921-2020, 1951-2020, and 1981-2020. The dataset also contains annual climate variables from the USGS Monthly Water Balance Model (MWBM). The dataset provides trend analysis outputs for annual drought and low flow metrics for the periods 1921-2020, 1951-2020, and 1981-2020. Finally, we include six R language code files that were used to create the values included in this release as summarized in the process step section.
Categories: Data;
Tags: NCCWSC,
USGS Science Data Catalog (SDC),
USGS:618460d9d34ec04fc9c00082,
United States,
biota,
These data represent simulated ecological drought conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) describe geographic patterns in ecological drought under historical climate conditions, 2) quantify the direction and magnitude of change in ecological drought, 3) identify areas and ecological drought metrics with projected changes that are robust across climate models, defined as drought metrics and locations where >90% of climate models agree in the direction of change.
Measures used to assess the vulnerability of streamflow in 326 river basins to the 2015 drought in the western United States.
These NetCDF data were compiled to investigate how rangelands in the western U.S. are limited by access to water. As a result, these ecosystems may be especially vulnerable to changes in water availability and drought as a result of climate change. This project utilized an ecosystem water balance model to quantify spatial and temporal patterns of rangeland ecological drought conditions under historical and future climate conditions. Water balance results were used to estimate several metrics that describe the seasonal timing and amount of moisture available for plant utilization in western rangelands. These data represent different aspects of water availability and drought. They are based on 1/16-degree gridded...
Stakeholder science needs were determined by reviewing more than 200 recently published literature items and web pages from Colorado River Basin (CRB) stakeholders. These stakeholder communications were used to characterize over 400 stakeholder science needs by reviewing their priorities, strategies, issues, missions, and concerns related to drought in the CRB. Members of the CRB Integrated Science Pilot Project team identified each of the stakeholder’s science needs and categorized the needs based on science themes and science topics that the needs address in the landscape. The terms used as science topics were initially created by Pilot Project team members but then later were cross-walked to match terms in the...
This metadata record describes a series of tabular datasets containing metrics used to characterize drought for select United States Geological Survey (USGS) streamgages for the climate years (April 1 – March 31) 1921 to 2020. These streamgages are a subset of those used in Geospatial Attributes of Gages for Evaluating Streamflow, version 2 (GAGES-II, Falcone, 2011) in the conterminous United States (CONUS). These metrics include streamflow percentiles, identified drought events, annual low streamflow, and drought statistics for each event.
This metadata record describes a series of tabular datasets containing metrics used to characterize drought for select United States Geological Survey (USGS) streamgages for the climate years (April 1 – March 31) 1981 to 2020. These streamgages are a subset of those used in Geospatial Attributes of Gages for Evaluating Streamflow, version 2 (GAGES-II, Falcone, 2011) in the conterminous United States (CONUS). These metrics include streamflow percentiles, identified drought events, annual low streamflow, and drought statistics for each event.
This metadata record describes a series of datasets containing metrics used to characterize drought for four sets of United States Geological Survey (USGS) streamgages in the conterminous United States (CONUS) for three different time periods between 1921 and 2020 outlined below. The streamgages used are a subset based on the criteria used in Geospatial Attributes of Gages for Evaluating Streamflow, version II (GAGESII, Falcone, 2011). Time periods use climate years, April 1 through March 31. These metrics include streamflow percentiles, identified drought events, annual low streamflow drought statistics, and various attributes for each of those events. These data are arranged here by study group with the following...
Wildlife species face threats from climate and land use change, which may exacerbate how extreme climatic events influence population persistence and biodiversity. Migratory waterbirds are especially vulnerable to hydrological drought via reduced availability of surface water habitats. We assessed how whooping cranes, an endangered species in the U.S. and Canada, modified habitat use and migration strategies during drought to understand this species’ resilience to changing conditions and adaptive capacity. The data included 8,555 night-roost sites used by 145 cranes, 2010–2022, under non-drought conditions, moderate drought, and extreme drought conditions.
This metadata record describes a series of tabular datasets containing metrics used to characterize drought for select United States Geological Survey (USGS) streamgages in and surrounding the Colorado River Basin for the climate years (April 1 – March 31) 1981 to 2020. These streamgages are a subset of those used in Geospatial Attributes of Gages for Evaluating Streamflow, version 2 (GAGES-II, Falcone, 2011) with some additional USGS streamgages not in the GAGES-II dataset added. The metrics include streamflow percentiles, identified drought events, annual low streamflow, and statistics for each drought event.
This metadata record describes a series of tabular datasets containing metrics used to characterize drought for select United States Geological Survey (USGS) streamgages for the climate years (April 1 – March 31) 1921 to 2020. These streamgages are a subset of those used in Geospatial Attributes of Gages for Evaluating Streamflow, version 2 (GAGES-II, Falcone, 2011) in the conterminous United States (CONUS). These metrics include streamflow percentiles, identified drought events, annual low streamflow, and drought statistics for each event.
This dataset represents 9,097 basin boundaries (rdews_gages.shp) of select U.S. Geological Survey's (USGS) active and historical stream gages derived from the published datasets of stream gage basins (Wieczorek, 2006), GAGESII (Falcone, 2011), and delineated from digital elevation models found in the NHDPlus version 1 data suite (NHDPlus, 2006). These basins were created to assist in spatial processing of model inputs for the U.S. Geological Survey's (USGS) Data-Driven Drought Prediction Project of the Drought Science Program within the Water Resources Mission Area's Water Resource Availability Program.
Documented in this data release are data used to model and map the probability of arsenic being greater than 10 micrograms per liter in private domestic wells throughout the conterminous United States during drought conditions (Lombard and others, 2020). The model used to predict the probability of arsenic exceeding 10 micrograms per liter in private domestic wells was previously developed and documented by Ayotte and others (2017). Independent variables in the model include groundwater recharge and annual precipitation. In order to assess the impact of drought these variables were altered to simulate drought by reducing the 30-year average annual values by 25 and 50 percent. The impact of drought was also assessed...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Environmental Health,
Geochemistry,
Hydrology,
USGS Science Data Catalog (SDC),
United States,
This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation sensitivity to droughts from 2000 through 2016 in the U.S. states of Washington, Oregon, and Idaho. Drought sensitivity analysis was conducted in minimally-disturbed (‘intact’) forest and shrub-steppe ecosystems, defined as 1-km pixels (i.e., grid cells) that had not experienced major recent insect mortality or fire. Drought conditions were assessed using the multi-scalar standardized precipitation evapotranspiration index (SPEI), for which positive values indicate wetter that average conditions and negative values indicate drier than average conditions for a given...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Idaho,
Oregon,
USGS Science Data Catalog (SDC),
Washington,
droughts,
This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to different models and spatial extents (Colorado River Basin region or conterminous United States). See the list below or metadata files in each sub-folder for more details. Daily streamflow percentile predictions for the Colorado River Basin region — Outputs from long short-term memory (LSTM) deep learning models corresponding to...
These data were collected to quantify oak mortality during the 2014-2017 drought. 30 tenth hectare drought plots were established throughout the blue oak woodland of Sequoia National Park. Information on species, size, and mortality were collected for all standing trees in each plot. In addition, two long-term 2.25 ha plots were established, in which the same data were collected. These data are associated with the following publication: Das, A.J., Ampersee, N.J., Pfaff, A.H., Stephenson, N.L., Swiecki, T.J., Bernhardt, E.A., Haggerty, P.K. and Nydick, K.R., 2020. Tree mortality in blue oak woodland during extreme drought in Sequoia National Park, California. Madroño, 66(4), pp.164-175.
Categories: Data;
Tags: Ecology,
Sequoia National Park,
USGS Science Data Catalog (SDC),
biota,
blue oak,
These data were compiled for a study that investigated the effects of drought seasonality and plant community composition in a dryland ecosystem. In 2015 U.S. Geological Survey ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two plant community types. The experiment consisted of three precipitation treatments: control (ambient precipitation), cool-season drought (-66% ambient precipitation November-April), and warm-season drought (-66% ambient precipitation May-October), applied in two plant communities (perennial grasses with or without a large shrub, Ephedra viridis) over a three-year period. These data were collected from 2015 to 2022 near Canyonlands...
Categories: Data;
Tags: Achnatherum hymenoides,
Botany,
C3 photosynthesis,
C4 photosynthesis,
Canyonlands National Park,
Categories: Data;
Tags: Drought,
Drought, Fire and Extreme Weather,
National CASC,
Rivers, Streams and Lakes,
Water, Coasts and Ice
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