Description of the U.S. Geological Survey Geo Data Portal Data Integration Framework

Blodgett, D. L.; Booth, Nathaniel L.; Kunicki, T.; Walker, Judy; Lucido, Jessica M.

doi:10.1109/jstars.2012.2196759

Cited by 11 publications

(11 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method uses channel length and average slope of the watercourse to estimate the time of concentration in hours. For each of the 13 study (and 9 reference) sites, the watershed (upstream drainage area) polygon file was used to download the NEXRAD rainfall time series for both storms using the USGS Geo Data Portal website (Blodgett, Booth, Kunicki, Walker, & Lucido, ). For each site's watershed, the estimated rainfall quantities at 1‐ and 24‐hr durations and t c were compared with extreme rainfall data (downloaded from the Northeast Climate Center Extreme Precipitation in New York and New England using the map interface tool) to estimate 1‐ and 24‐hr rainfall‐based AEPs following the same methods used to derive the flow‐based AEPs.…”

Section: Methodsmentioning

confidence: 99%

Effects of extreme floods on macroinvertebrate assemblages in tributaries to the Mohawk River, New York, USA

Calderón

Baldigo

Smith

et al. 2017

River Research & Apps

View full text Add to dashboard Cite

Climate change is forecast to bring more frequent and intense precipitation to New York which has motivated research into the effects of floods on stream ecosystems. Macroinvertebrate assemblages were sampled at 13 sites in the Mohawk River basin during August 2011, and again in October 2011, following historic floods caused by remnants of Hurricane Irene and Tropical Storm Lee. The annual exceedance probabilities of floods at regional flow-monitoring sites ranged from 0.5 to 0.001. Data from the first 2 surveys, and from additional surveys done during July and October 2014, were assessed to characterize the severity of flood impacts, effect of seasonality, and recovery. Indices of total taxa richness; Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness; Hilsenhoff's biotic index; per cent model affinity; and nutrient biotic index-phosphorus were combined to calculate New York State Biological Assessment Profile scores. Analysis of variance tests were used to determine if the Biological Assessment Profile, its component metrics, relative abundance, and diversity differed significantly (p ≤ .05) among the four surveys. Only total taxa richness and Shannon-Wiener diversity increased significantly, and abundance decreased significantly, following the floods. No metrics differed significantly between the July and August 2014 surveys which indicates that the differences denoted between the August and October 2011 surveys were caused by the floods. Changes in taxa richness, EPT richness, and diversity were significantly correlated with flood annual exceedance probabilities. This study increased our understanding of the resistance and resilience of benthic macroinvertebrate communities by showing that their assemblages were relatively impervious to extreme floods across the region.

show abstract

Section: Methodsmentioning

confidence: 99%

Effects of extreme floods on macroinvertebrate assemblages in tributaries to the Mohawk River, New York, USA

Calderón

Baldigo

Smith

et al. 2017

River Research & Apps

View full text Add to dashboard Cite

show abstract

“…The primary OGC standards that are applicable to geospatial data servers are the web mapping service (OGC-WMS), web feature service (OGC-WFS), and web coverage service (OGC-WCS). We found three Geospatial data server software namely GeoServer, UMN MapServer, and MapGuide were used in the web apps projects and reported in [2,3].…”

Section: Geospatial Data Serversmentioning

confidence: 99%

“…The mapping libraries used in the web apps reviewed for this paper are all JavaScript libraries that run in web browsers. We found two mapping libraries reported in [2,20]: OpenLayers and Google Maps™.…”

Section: Mapping Librariesmentioning

confidence: 99%

WebGIS Enabled Facility Mapping and Identification - A Cost Effective Solution

Sankar¹,

Chakraborty²,

Paul³

et al. 2018

IJCA

View full text Add to dashboard Cite

WebGIS publicizes and shares geospatial data through Internet for visualizing and analyzing the area of interest. In order to make a cost effective implementation, operation and maintenance of geospatial data over the Web for facility mapping and detection, a cheaper yet feature rich alternative to commercial software is required which can be fulfilled by existing free and open source software (FOSS) for geographic information (FOSSGIS) systems and FOSS for web development respectively. In an effort to understand the FOSS features and capabilities, reviewed many of the state-ofthe-art FOSS software projects in the context of those that have been used for sharing geospatial data. Subsequently, proposed an approach for visualizing facilities in Web environment using open source GIS software to display and identify locations of establishments. The application enables to visualize the spatial distribution of specific type of establishment in state/ district. The navigation tools (Zoom-in, zoom-out, and pan) and measurement tools are included in the application for navigating the map and measuring distance/area in the map respectively.

show abstract

“…To reduce this processing time while maintaining the spatial integrity of the watershed boundary, the number of vertices of each HUC-8 polygon was reduced in the shapefile. This process used the Ramer-Douglas-Peuker algorithm which removes vertices from a geometry (Blodgett, 2012). Figure 3 depicts a natural HUC-8 watershed boundary as well as the same boundary that has simplified vertices.…”

Section: Rescaling Using the Usgs Geo Data Portalmentioning

confidence: 99%

A New Open‐Access HUC‐8 Based Downscaled CMIP‐5 Climate Model Forecast Dataset for the Conterminous United States

Woodbury

Ames

Kadlec

et al. 2016

J American Water Resour Assoc

View full text Add to dashboard Cite

Watershed‐scale hydrologic simulation models generally require climate data inputs including precipitation and temperature. These climate inputs can be derived from downscaled global climate simulations which have the potential to drive runoff forecasts at the scale of local watersheds. While a simulation designed to drive a local watershed model would ideally be constructed at an appropriate scale, global climate simulations are, by definition, arbitrarily determined large rectangular spatial grids. This paper addresses the technical challenge of making climate simulation model results readily available in the form of downscaled datasets that can be used for watershed scale models. Specifically, we present the development and deployment of a new Coupled Model Intercomparison Project phase 5 (CMIP5) based database which has been prepared through a scaling and weighted averaging process for use at the level of U.S. Geological Survey (USGS) Hydrologic Unit Code (HUC)‐8 watersheds. The resulting dataset includes 2,106 virtual observation sites (watershed centroids) each with 698 associated time series datasets representing average monthly temperature and precipitation between 1950 and 2099 based on 234 unique climate model simulations. The new dataset is deployed on a HydroServer and distributed using WaterOneFlow web services in the WaterML format. These methods can be adapted for downscaled General Circulation Model (GCM) results for specific drainage areas smaller than HUC‐8. Two example use cases for the dataset also are presented.

show abstract

Description of the U.S. Geological Survey Geo Data Portal Data Integration Framework

Cited by 11 publications

References 2 publications

Effects of extreme floods on macroinvertebrate assemblages in tributaries to the Mohawk River, New York, USA

Effects of extreme floods on macroinvertebrate assemblages in tributaries to the Mohawk River, New York, USA

WebGIS Enabled Facility Mapping and Identification - A Cost Effective Solution

A New Open‐Access HUC‐8 Based Downscaled CMIP‐5 Climate Model Forecast Dataset for the Conterminous United States

Contact Info

Product

Resources

About