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The National Hydrologic Geospatial Fabric (NHGF or the fabric) is a Water Mission Area (WMA) project focused on developing a web-accessible, middle-tier data system that will provide users access to the best-available geospatial data for hydrologic simulation modeling.
Tags: climate
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Climate change is likely to have many effects on natural ecosystems in the Southeast U.S. While there is information available to conservation managers and ecologists from the global climate models (GCMs), this information is at too coarse a resolution for use in vulnerability assessments and decision making. To better assess how climate change could affect multiple sectors, including ecosystems, climatologists have created several downscaled climate projections that contain information from GCMs translated to regional or local scales. There are a number of techniques that can be used to create downscaled climate projections, and the number of available downscaled climate projections present challenges to users...
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The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National Hydrography Dataset Plus V2.1 (NHDPlusV2) network geometry and modifications retrieved from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines" (E2NHDPlusV2) datasets. These attributes are available in three formats: csv, fst, and...
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Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/​P9W148A1. This dataset is part of the National Water Census Water Budget Estimation and Evaluation Project's ongoing development of best estimates of daily historical water budgets for about 100,000 hydrologic units across the United States. In this release, estimates of soil moisture and recharge are added to the already released estimates of streamflow and precipitation. All these estimates are made available per twelve-digit hydrologic unit code watershed as contained in the NHDPlusV2 dataset. As this project progresses, it is expected that a complete closed water budget generated from the same water budget...
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Throughout western North America, warming associated with climate change is leading to both earlier spring peak streamflows and earlier seed dispersal, potentially reducing seedling establishment and in turn reducing the quality of riparian (near-river) forests, which provide critical habitat for diverse birds, mammals, reptiles, amphibians, and insects, and food and shade for fish and other aquatic animals. This project aimed to predict these effects of climate change on cottonwood and willow tree regeneration in western forests by linking models of seed dispersal timing, streamflow hydrology, and seedling establishment, focusing on the upper South Platte River Basin as a study area. Results are expected to help...
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Note: this data release has been deprecated. Please see new data release here: https://doi.org/P9W148A1. This dataset is part of the National Water Census Water Budget Estimation and Evaluation Project's ongoing development of best estimates of daily historical water budgets for over 100,000 hydrologic units across the United States. In this release, estimates of actual evapotranspiration and snowpack water equivalent storage are added to the already released estimates of soil moisture, recharge, streamflow, and precipitation. All these estimates are made available per twelve-digit hydrologic unit code watershed as contained in the NHDPlus v2.1 dataset. As this project progresses, it is expected that a complete...


    map background search result map search result map Projecting Future Climate Effects on Cottonwood and Willow Seed Dispersal and Tree Regeneration in Western Riparian Forests Evaluating Downscaled Climate Models for Projecting Future Changes in the Southeast Twelve digit hydrologic unit soil moisture and recharge from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System Twelve-digit hydrologic unit actual evapotranspiration and snowpack water equivalent storage from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System 1980-2016 National Hydrologic Geospatial Fabric Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks (ver. 2.0, February 2023) Projecting Future Climate Effects on Cottonwood and Willow Seed Dispersal and Tree Regeneration in Western Riparian Forests Evaluating Downscaled Climate Models for Projecting Future Changes in the Southeast Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks (ver. 2.0, February 2023) Twelve digit hydrologic unit soil moisture and recharge from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System Twelve-digit hydrologic unit actual evapotranspiration and snowpack water equivalent storage from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System 1980-2016