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Note: this data release has been deprecated due to errors found in the ARGNXX.wdm file. Please see the detail in new data release at https://doi.org/10.5066/P146RBHK This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2022), with the processed data through September 30, 2022. The primary data for water year 2022 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and is processed following the guidelines documented in Over and others (2010). This DR also describes the Watershed Data Management (WDM) database file ARGN22.WDM. The WDM...
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We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of...
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Note: this data release has been deprecated due to errors found in the ARGNXX.wdm file. Please see the detail in new data release at https://doi.org/10.5066/P146RBHK This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2021), with the processed data through September 30, 2021. The primary data for water year 2021 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and is processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) in thousandths of an inch is computed from average daily air...
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The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data...


    map background search result map search result map Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2021 (Deprecated) Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 (Deprecated) Wetlands in the state of Arizona Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2023 Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 (Deprecated) Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2023 Wetlands in the state of Arizona