5 datasets found
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Federal
Phenology-adjusted Dynamic Curve Number for Improved Hydrologic Modeling
U.S. Environmental Protection Agency —
Our study aimed to develop a method to derive NDVI-based CN (CNNDVI) to account for seasonal land use/cover changes and capture the spatial and temporal variability... -
Federal
Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Delaware River Basin (2020)
Department of the Interior —
Tables are presented listing parameters and fit statistics for 25,453 maximum likelihood logistic regression (MLLR) models describing hydrological drought... -
Federal
Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States (2017)
Department of the Interior —
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... -
Federal
Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015
Department of the Interior —
This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0... -
Federal
Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Northeastern United States (2019)
Department of the Interior —
Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States....
5 datasets found