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This module is a product of the 2012 CDI-funded project Python port of Geo Data Portal (GDP) client tools (WPS) with hooks for ArcGIS Toolbox. The purpose of the module is to increase the functionality of the USGS Geo Data Portal (GDP). The GDP, developed by USGS’s Center for Integrated Data Analytics, provides a powerful functionality to process climate and other large remote gridded data, returning summary statistics and areal tabulations over user specified areas. Currently the user interface is an interactive web form, returning a CSV table. This work allows users to access the functionality directly via a GDP Python module. Benefits: Enables scientists to bring subsets of climate models and other GDP...
CDI helped fund development of the USGS Geo Data Portal in 2010. In 2012, CDI funded two projects to increase the functionality of the Geo Data Portal. The Resources section below contains links to the Geo Data Portal website and deliverables from the 2012 projects. Principal Investigator : David L Blodgett Description of the Geo Data Portal from the Geo Data Portal documentation home : The USGS Geo Data Portal (GDP) project provides scientists and environmental resource managers access to downscaled climate projections and other data resources that are otherwise difficult to access and manipulate. This user interface demonstrates an example implementation of the GDP project web-service software and standards-based...
Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the world based on the MERIT hydrography and the Natural Earth river names. Made with Natural Earth. Free vector and raster map data @ See "Blodgett et al., 2021, Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts" for mainstems data model details.
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
This dataset contains modeled hourly streamflow in cubic meters per second at each of about eighteen thousand selected operational and water-quality stream gage locations. It was assembled from publicly available retrospective V2.1 National Water Model outputs (See NWM Retrospective source info). The streamflow variable was extracted from model output files and the data were reshaped to optimize read performance. The stream gage locations were derived from several ongoing USGS project gages for evaluation of streamflow, water quality, and real-time monitoring, however only National Water Model identifiers and NHDPlusV2.1 catchment outlet locations (as contained in the National Water Model output files) are used...
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...
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...
This is a catalog of datasets available for processing with the Geo Data Portal.
This project sought to incorporate land-use land-cover time series data into the Geo Data Portal web service infrastructure. Till now, the Geo Data Portal has been used for relatively low spatial resolution downscaled climate data. Data from the EPA’s Integrated Climate and Land Use Scenarios was incorporated into a web service compatible with the Geo Data Portal and is now hosted in the Geo Data Portal catalog. Great progress was made in establishing connections between the Land-Processes Distributed Active Archive Center’s (LP-DAAC) holdings of MODIS satellite derived land cover data. At this time, the data is only available on development servers, but many issues were fixed and close partners are using the integration...

    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 National Water Model V2.1 retrospective for selected NWIS gage locations, (1979-2020) 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 National Water Model V2.1 retrospective for selected NWIS gage locations, (1979-2020)