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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,
A critical aspects of the uniqueness of coastal drought is the effects on salinity dynamics of creeks and rivers. The location of the freshwater-saltwater interface along the coast is an important factor in the ecological and socio-economic dynamics of coastal communities. Salinity is a critical response variable that integrates hydrologic and coastal dynamics including streamflow, precipitation, sea level, tidal cycles, winds, and tropical storms. The position of the interface determines the composition of freshwater and saltwater aquatic communities as well as the freshwater availability for water intakes. Many definitions of drought have been proposed, with most describing a decline in precipitation which has...
Categories: Data;
Types: Citation;
Tags: Little Back River, Jasper County, SC,
USGS Science Data Catalog (SDC),
Waccamaw River, Georgetown County, SC,
Water Resources,
coastal processes,
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,
Measures used to assess the vulnerability of streamflow in 326 river basins to the 2015 drought in the western United States.
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...
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 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.
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 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...
A table is presented listing: (1) USGS Gage Station Numbers, (2) Model Identification Tags, (3) Model Term Estimates, (4) Model Term Fit Statistics, and (5) Model Performance Indices for Maximum Likelihood Logistic Regression (MLLR) Models estimating hydrological drought probabilities in the United States. Models were developed using streamflow daily values (DV) readily available from the U.S. Geological Survey National Water Information System (NWIS) and mean monthly streamflows readily computed from NWIS streamflow DV. Models were prepared for 9,144 sites throughout the United States as described in: Modeling Summer Month Hydrological Drought Probabilities In The United States Using Antecedent Flow Conditions...
Categories: Data;
Types: Citation;
Tags: Puerto Rico,
USGS Science Data Catalog (SDC),
United States of America,
decision support systems,
drought,
This dataset adds attributes describing the self-calibrated Palmer Drought Severity Index (PDSI) during the observation year of wet/dry streamflow observations collected in the Pacific Northwest, USA. Streamflow observation locations are linked to the nearest National Hydrography Dataset high-resolution (NHD-HR) stream segment to obtain stream order and stream permanence (perennial/non-perennial) from NHD-HR. Additionally, the PDSI and precipitation percentile for 7.5 minute quadrangle map extents, within the extent of the conterminous United States (https://carto.nationalmap.gov/arcgis/rest/services/map_indices/MapServer), during the map survey year are presented. NHD perennial/non-perennial classifications derive...
Categories: Data;
Tags: Conterminous United States,
Geography,
Hydrology,
Pacific Northwest,
USGS Science Data Catalog (SDC),
These shapefiles represent the spatial distribution of mean annual groundwater recharge, in inches, for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi for a set of water-budget scenarios that characterize unique combinations of drought and land-cover conditions. Two water-budget scenarios were developed to quantify the effects of severe drought and future climate conditions on groundwater recharge for each island as follows: (1) rainfall conditions representative of the driest conditions during 1920–2012 and 2020 land cover, and (2) rainfall conditions representative of the driest conditions during a future dry-climate condition and 2020 land cover. Each drought condition was combined with two hypothetical...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Hydrology,
Land Use Change,
USGS Science Data Catalog (SDC),
Water Resources
This data release contains snow drought classifications as well as streamflow timing and magnitude signatures for gaged, snow-dominated U.S. Geological Survey (USGS) watersheds in the Conterminous United States (CONUS) from 1980 to 2020 supporting the journal article "Snow drought classification and streamflow timing and magnitude signatures for snow dominated USGS watersheds in the Conterminous United States from 1980 to 2020." Specifically, this dataset contains snow drought classifications as "no snow drought," "cool and dry snow drought," "warm and dry snow drought," and "warm and wet snow drought." Along with the snow drought classification for each water year, climate data used to determine the snow drought...
Categories: Data;
Tags: Conterminous United States,
USGS Science Data Catalog (SDC),
Water Resources,
drought,
farming,
This metadata record describes outputs from 12 configurations of long short-term memory (LSTM) models which were used to predict streamflow drought occurrence at 384 stream gage locations in the Colorado River Basin region. The models were trained on data from 01-Oct-1981 to 31-Mar-2005 and validated over the period of record spanning 01-Apr-2005 to 31-Mar- 2014. The models use explanatory variable inputs described in Wieczorek (2023) (doi.org/10.5066/P98IG8LO) to predict daily streamflow and streamflow percentiles as described in Simeone (2022) (doi.org/10.5066/P92FAASD). Separate models were trained to predict daily streamflow and streamflow percentiles. Two types of percentiles were modeled: (1) fixed-threshold...
Categories: Data;
Tags: Colorado River Basin,
climatologyMeteorologyAtmosphere,
deep learning,
drought prediction,
droughts,
Tables are presented listing parameters and fit statistics for 25,453 maximum likelihood logistic regression (MLLR) models describing hydrological drought probabilities at 324 gaged locations on rivers and streams in the Delaware River Basin (DRB). Data from previous months are used to estimate chance of hydrological drought during future summer months. Models containing 1 explanatory variable use monthly mean daily streamflow data (DV) to provide hydrological drought streamflow probabilities for July, August, and September as functions of monthly mean DV from the previous 11 months. Outcomes are estimated 1 to 12 months ahead of their occurrence. Models containing 2 explanatory variables use monthly mean daily...
Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States. Streamflow daily data, streamflow monthly mean data, maximum likelihood logistic regression (MLLR) equation explanatory parameters, equation goodness of fit parameters, and Receiver Operating Characteristic (ROC) AUC values identifying the utility of each relation, describe each model of the probability (chance) of a particular streamflow daily value exceeding or not exceeding an identified drought streamflow threshold.
A table is presented listing: (1) monthly streamflows, (2) drought duration dates, (3) drought severity indices, (4) supporting statistics, and (5) identification tags, for analysis of hydrological droughts in the Conterminous United States (CONUS). Data were summarized from USGS streamflow daily values (DV), readily available from the U.S. Geological Survey National Water Information System (NWIS), for USGS gage stations used in SIR 2017-5099 Variability of Hydrological Droughts in the Conterminous United States, 1951 through 2014 by Samuel H. Austin, David M. Wolock, and David L. Nelms. https://doi. org/10.3133/sir20175099
Types: Citation;
Tags: CONUS,
USGS Science Data Catalog (SDC),
Water Resources,
decision support methods,
droughts,
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