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This dataset contains monthly crop irrigation requirement (CIR) values from March 1940 through 2014 for the 20 virtual land-use units, including the seven canal service units, in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). CIR values are presented in units of feet per day.
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This point vector dataset represents 10 climate stations used for analysis of annual and seasonal precipitation, analysis of monthly measured reference evapotranspiration, and comparison of simulated potential evapotranspiration with measured reference evapotranspiration within the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico.
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This map service and the attached downloadable layer package represent OpenStreetMap (OSM) road data clipped to the Cascadia Partner Forum geography (with a 10km buffer). The data were obtained from WeoGeo, which converts OSM data from its native format to Esri formats (and others).  They last updated their database on May 1st, 2014. "OpenStreetMap is dedicated to created and providing geographic data, such as street maps, worldwide, for free. Most maps considered "free" actually have legal or technical restrictions on their use. These restrictions hold back anyone from using them in creative, productive or unexpected ways, and make every map a silo of data and effort. OSM's open license gives users the freedom...
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This dataset was created in order to facilitate transboundary conservation work and research projects, by integrating land cover maps into a single dataset from Cape Caution, BC, to Yakutat Bay, AK. It includes three levels of land classification, site index, elevation, hydric soils (yes/no), karst (yes/no), primary and secondary species, size class, and volume class. It also includes a number of other important attributes from individual datasets, which were not crosswalked between the different areas. This file represents Land Classification Level 2.
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This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in New Mexico within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). In RGTIHM, these wells are considered the Other New Mexico (ONM) group. Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.
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Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrate, and sulfate). Six models were generated; one model for each of the three constituents of interest, in each of the two major tributaries to Lake Koocanusa: the Kootenay River at Fenwick (BC08NG0009), and the Elk River above Highway 93 Near Elko (BC08NK0003). Data were obtained by downloading data from the British Columbia Water Tool (https://kwt.bcwatertool.ca/surface-water-quality,...
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This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in New Mexico within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM) that were not included in other pumping rate datasets. In RGTIHM, these wells are considered the New Mexico Office of the State Engineer MnI (NMOSE_MnI) group. Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.
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These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
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This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in the Mexico portion of the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.
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This tabular dataset represents monthly flow at 61 surface-water points of diversion used to route flow in the Streamflow-Routing (SFR) Package for MODFLOW-One-Water Hydrologic Flow Model in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Thirty-one of the 61 diversion points represent surface-water deliveries to combined groundwater and surface-water water balance subregions (WBS), and the remaining 30 diversion points represent diversions to canals and laterals along the surface-water conveyance network. Flow in this tabular dataset is specified monthly at each diversion point as either a rate (volume per time) in cubic feet per day, or as a fractional split from the simulated flow in the upstream...
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This point vector dataset represents tributary pour points used as model boundary inflow locations to the tributary Streamflow-Routing (SFR) Package network for recharge and runoff simulated by the Transboundary Rio Grande Watershed Model (TRGWM) for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico (Hanson and others, 2018).
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This tabular dataset represents the source of monthly flow at 160 stream gages used for surface-water flow and flow-difference observations for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). See the Site_Name attribute in the RGTIHM_Surface_Water_Obs feature class for the location of the stream gages.
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This tabular dataset represents monthly flow at 80 tributary pour points (see the RGTIHM_Tributary_Pour_Pts feature class) used as model boundary inflow locations to tributaries (see the RGTIHM_Tributaries feature class) simulated with the Streamflow-Routing (SFR) Package for MODFLOW-One-Water Hydrologic Flow Model in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Flows in this dataset were derived from the Transboundary Rio Grande Watershed Model (TRGWM) estimates of recharge and runoff accumulated from TRGWM grid cells within the subwatershed (see the RGTIHM_TRGWM_Subwatersheds feature class) upstream of the pour point (Hanson and others, 2018). Flow in this tabular dataset is specified monthly...
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This dataset contains the monthly surface-water diversion allotments from March 1940 through 2014 for the 57 water-balance subregions (WBS) within the seven canal service units simulated in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Allotment values are presented in units of acre-feet.
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This point vector dataset represents 8,877 domestic well locations and attributes used as input data for the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). Attributes include well construction information, historic water use information, and flags indicating assumptions made for modeling purposes. Data were compiled from various sources; see Supplemental Information for details.
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http://archive.ilmb.gov.bc.ca/cis/initiatives/ias/btm/index.htmlThis GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). The statewide analysis quantifies current connectivity patterns for Washington State and adjacent areas in British Columbia, Idaho, Oregon and a small portion of Montana. Available WHCWG raster data include model base layers,...
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This dataset contains the source information for pumping rates for municipal and industrial (MnI) wells in the Santa Teresa, New Mexico network within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). In RGTIHM, these wells are considered the Santa Teresa, New Mexico (NMST) group.


map background search result map search result map Washington Connected Transboundary Land Cover Dataset OpenStreetMap railroads for the Cascadia Partner Forum Geography Transboundary Land Classification Level 2 Climate Stations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Initial Head Contours for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Tributary Pour Points for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Domestic Wells for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico RGTIHM Allotments by WBS RGTIHM CIR Head Observations Table for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico New Mexico Office of the State Engineer Municipal and Industrial Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Santa Teresa, New Mexico Wells Data Source: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Other New Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Other New Mexico Wells Data Source: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico SFR Diversions Table for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico SFR Tributary Inflow Table for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Surface-Water Flow Observations Table Source for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa: Mass Removal Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa: Mass Removal Climate Stations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Initial Head Contours for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Tributary Pour Points for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Domestic Wells for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico RGTIHM Allotments by WBS RGTIHM CIR Head Observations Table for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico New Mexico Office of the State Engineer Municipal and Industrial Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Santa Teresa, New Mexico Wells Data Source: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Other New Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Other New Mexico Wells Data Source: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico SFR Diversions Table for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico SFR Tributary Inflow Table for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Surface-Water Flow Observations Table Source for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico OpenStreetMap railroads for the Cascadia Partner Forum Geography Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Transboundary Land Classification Level 2 Washington Connected Transboundary Land Cover Dataset