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The U.S. Geological Survey (USGS) developed a systematic, quantitative approach to prioritize candidate basins that can support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC4) with some of the smaller HUC4s being combined (hereafter referred to as modified HUC4 basins). Candidate basins for the contiguous United States (CONUS) were grouped into 18 hydrologic regions. Thirty-three geospatial variables representing land use, climate change, water use, water-balance components, streamflow alteration, fire risk, and ecosystem sensitivity were initially considered to assist in ranking candidate basins for study. The two highest...
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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...
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This data release is the update of the U.S. Geological Survey (USGS) - ScienceBase data release Bera (2021b), with the processed data for the period October 1, 2019, through September 30, 2020. This data release describes the watershed data management (WDM) database file WBDR20.WDM. The WDM database file WBDR19.WDM (Bera, 2020b) is updated with the quality-assured and quality-controlled meteorological and hydrologic data for the period October 1, 2019, through September 30, 2020, following the guidelines documented in Bera (2017) and is renamed as WBDR20.WDM. Meteorological data other than precipitation (wind speed, solar radiation, air temperature, dew point temperature, and potential evapotranspiration) are copied...
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This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that made real-time predictions in the Delaware River Basin during 2021. The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7) at five sites. This data release captures the entire forecasting period that is reported in Zwart et al. 2022, and is an extension of a previous data release that contains all data needed to build these models but only extends to July 16, 2021 (Oliver et al. 2021). Additionally, this release contains a tidy version of the model predictions with paired...
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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...
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This data release is the update of the U.S. Geological Survey - ScienceBase data release Bera (2021b), with the processed data for the period October 1, 2019, through September 30, 2020. This data release describes the watershed data management (WDM) database SC20.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2019, through September 30, 2020, are processed following the guidelines described in Bera (2014) and Murphy and Ishii (2006) and appended to SC19.WDM and renamed as SC20.WDM....
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Habitat suitability was estimated for invasive Phragmites in the coastal Great Lakes region (shoreline to 10 km inland). These estimates were based on current distribution patterns and environmental conditions. Phragmites presence or absence was defined based on a distribution map produced by cooperative research between the GLSC and Michigan Technical Research Institute. Environmental variables were processed in a Geographic Information System (GIS) and came from existing publicly available sources. Variables include descriptors of soils, nutrients, topography, ecoregion, anthropogenic disturbance, and climate. Environmental conditions and Phragmites presence/absence were sampled in a GIS at points established...
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This data release is the update of the U.S. Geological Survey - ScienceBase data release Bera (2022b), with the processed data for the period October 1, 2020, through September 30, 2021. This data release describes the watershed data management (WDM) database SC21.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2020, through September 30, 2021, are processed following the guidelines described in Bera (2014) and Murphy and Ishii (2006) and appended to SC20.WDM and renamed as SC21.WDM....
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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.


    map background search result map search result map Phragmites Habitat Suitability Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States (2017) Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Northeastern United States (2019) Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Delaware River Basin (2020) Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation Watershed Data Management (WDM) Database (SC20.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2020 Watershed Data Management (WDM) Database (WBDR20.WDM) for West Branch DuPage River Streamflow Simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2020 Watershed Data Management (WDM) Database (SC21.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2021 Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Delaware River Basin (2020) Phragmites Habitat Suitability Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Northeastern United States (2019) Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States (2017)