These data were compiled to provide Fred Phillips Consultants with an estimate of river and stream vegetation (riparian) water use within the Little Colorado River (LCR) Watershed in Arizona, specifically providing an estimate of riparian plant area ET (mm/day and in mm/year) for actual remotely-sensed estimates of ETa and CU for at least one year of data (i.e., 2020). Objectives of our study were to measure five water metrics for the Little Colorado River watershed region on the Navajo Nation. These water metrics represent data including precipitation (P), potential evapotranspiration (ETo), actual evapotranspiration (ETa), net water requirement (WR) or the water difference (WD) between ETa and rainfall, and consumptive water use for a given riparian acreage (CU). These data were processed as 30m Landsat, using hdf format, and then .tif files were created for the location (study area) of riparian vegetation along the rivers and streams selected within the Little Colorado River watershed and dates from January 2014 through December 2020. These data were collected using digitized polygons for riparian shrubs and trees in ArcGIS by Fred Phillips Consultants and the water metric data was created in the University of Arizona, Vegetation Index and Phenology lab, using Landsat OLI imagery and Daymet weather data between 2014-2020. These data are useful to land and water managers across all levels of government, but these accurate and current estimates of riparian plant evapotranspiration and consumptive water use along the Little Colorado River tributaries and streams are especially valuable to the Navajo Nation, particularly for the adjudication of water rights.

These data were compiled for monitoring riparian zone trends and changes in the Navajo Nation as part of a study to document riparian ecosystem health and its water use in support of potential restoration efforts. The objective of our study was to monitor the short and medium-term effects on the riparian vegetation in relation to evapotranspiration changes, drought, and other hydrological processes, along some critical riparian zones in the Navajo Nation. These data represent time series of vegetation greenness and water use for the years 2013 to 2023. These data were collected from the spaceborne mission Landsat 8 which carries the OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor) sensors for an area within the Navajo Nation in northeastern Arizona. The specific regions of interest were focused on some Culturally Important Riparian Areas (CIRAS), including Buell Park/Black Creek Headwaters, Ganado/Pueblo Colorado Wash, Grand Falls, Oraibi Headwaters, Pasture Canyon, and Tappan Springs. Landsat data are collected and distributed by the U.S. Geological Survey. The acquired imagery was filtered for quality and reprocessed by the Vegetation Index and Phenology Lab at the University of Arizona, to generate vegetation indices and evapotranspiration trends for these riparian corridors. These data summarize the time series over the 11-year study. Three vegetation indices (VIs) are computed and reported: the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Two-Band Enhanced Vegetation Index (EVI2). NDVI and EVI datasets were taken directly from Landsat products, EVI2 was calculated in the VIP Lab. Time series for daily Actual Evapotranspiration (ETa), in millimeters per day, were estimated from both EVI and EVI2 data using an ET empirical model (Nagler and others, 2013). These data can be used to study the trends in vegetation greenness, productivity, and water use, using VIs and ET respectively. These estimations can be linked to other variables or causes, and used to assess the effect climate change is having in this arid region in the period from 2013 to 2023.

This data release contains an inventory of 1,358 major surface water diversion structures with associated daily time series withdrawal records (1980-2022) for structures within the Upper Colorado River and Little Colorado River Basins. Diversion structures were included in this dataset if they were determined to have the capacity to divert water at rates greater than 10 cubic feet per second. Since those river basins encompasses portions of five states, water use data are dispersed among numerous federal and state agency databases and there is no centralized dataset that documents surface water use within the entire UCOL at a fine spatial and temporal resolution. Diversion structures and locations were identified from a mix of state reports, maps, and satellite imagery. A Python script was developed to automate retrieval of daily time series withdrawal records from multiple state and federal databases. The script was also used to process, filter, and harmonize the diversion records to remove outlier values and estimate missing data. The original withdrawal data, the processed datasets, and the Python script are included in this data release.

This data release contains an inventory of 1,358 major surface water diversion structures with associated daily time series withdrawal records (1980-2022) for structures within the Upper Colorado River and Little Colorado River Basins. Diversion structures were included in this dataset if they were determined to have the capacity to divert water at rates greater than 10 cubic feet per second. Since those river basins encompasses portions of five states, water use data are dispersed among numerous federal and state agency databases and there is no centralized dataset that documents surface water use within the entire UCOL at a fine spatial and temporal resolution. Diversion structures and locations were identified from a mix of state reports, maps, and satellite imagery. A Python script was developed to automate retrieval of daily time series withdrawal records from multiple state and federal databases. The script was also used to process, filter, and harmonize the diversion records to remove outlier values and estimate missing data. The original withdrawal data, the processed datasets, and the Python script are included in this data release.

This data release supports U.S. Geological Survey (USGS) Scientific Investigations Report 2023-5106, Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing Areas, Inyo and San Bernardino Counties, California. It consists of two comma-separated values (CSV) files containing data collected at two USGS atmospheric monitoring locations (USGS site identification numbers 355846116160401 and 355918116161801) beginning in January 2018 and lasting for approximately 1 year. The data include 30-minute values for cumulative normalized flux for 6 circular areas around each site and 30-minute values for unadjusted total evapotranspiration. The radii of the circular areas are 25, 50, 75, 100, 200, and 300 meters. More data from the USGS monitoring locations can be found in the USGS National Water Information System (U.S. Geological Survey, 2020): Amargosa River Shrub ET Station (USGS site identification number 355846116160401) https://waterdata.usgs.gov/monitoring-location/355846116160401 Amargosa River Wetland ET Station (USGS site identification number 355918116161801) https://waterdata.usgs.gov/monitoring-location/355918116161801 Reference Cited: U.S. Geological Survey, 2020, USGS water data for the Nation: U.S. Geological Survey database, accessed April 20, 2020, at http://doi.org/10.5066/F7P55KJN.

This data release provides a monthly irrigation water use reanalysis for the period 2000-20 for all U.S. Geological Survey (USGS) Watershed Boundary Dataset of Subwatersheds (Hydrologic Unit Code 12 [HUC12]) in the conterminous United States (CONUS). Results include reference evapotranspiration (ETo), actual evapotranspiration (ETa), irrigated areas, consumptive use, and effective precipitation for each HUC12. ETo and ETa were estimated using the operational Simplified Surface Energy Balance (SSEBop, Senay and others, 2013; Senay and others, 2020) model executed in the OpenET (Melton and others, 2021) web-based application implemented in Google Earth Engine. Results provided by OpenET/SSEBop were summarized to hydrologic response units (HRUs) in the National Hydrologic Model (NHM; Regan and others, 2019) to estimate consumptive use and effective precipitation on irrigated lands. Irrigated lands for the CONUS were provided by the Landsat-based Irrigation Dataset (LANID; Xie and others, 2019) for each year of the reanalysis period. Consumptive use estimates provided by the NHM were disaggregated to HUC12s using area weighted intersections with HRUs and the relative proportion of irrigated lands in each intersected area. These datasets are generated during the irrigation reanalysis workflow (irrigation_reanalysis.7zip). The files actet_openet.cbh, potet_openet.cbh, and dyn_ag_frac.param are created in step one of the workflow, which involves converting daily OpenET/SSEBop results into inputs for the NHM. All other files are produced by the NHM and are utilized for calculating irrigation consumptive use and effective precipitation.

This data release provides a monthly irrigation water use reanalysis for the period 2000-20 for all U.S. Geological Survey (USGS) Watershed Boundary Dataset of Subwatersheds (Hydrologic Unit Code 12 [HUC12]) in the conterminous United States (CONUS). Results include reference evapotranspiration (ETo), actual evapotranspiration (ETa), irrigated areas, consumptive use, and effective precipitation for each HUC12. ETo and ETa were estimated using the operational Simplified Surface Energy Balance (SSEBop, Senay and others, 2013; Senay and others, 2020) model executed in the OpenET (Melton and others, 2021) web-based application implemented in Google Earth Engine. Results provided by OpenET/SSEBop were summarized to hydrologic response units (HRUs) in the National Hydrologic Model (NHM; Regan and others, 2019) to estimate consumptive use and effective precipitation on irrigated lands. Irrigated lands for the CONUS were provided by the Landsat-based Irrigation Dataset (LANID; Xie and others, 2019) for each year of the reanalysis period. Consumptive use estimates provided by the NHM were disaggregated to HUC12s using area weighted intersections with HRUs and the relative proportion of irrigated lands in each intersected area. These datasets are generated during the irrigation reanalysis workflow (irrigation_reanalysis.7zip). The files actet_openet.cbh, potet_openet.cbh, and dyn_ag_frac.param are created in step one of the workflow, which involves converting daily OpenET/SSEBop results into inputs for the NHM. All other files are produced by the NHM and are utilized for calculating irrigation consumptive use and effective precipitation.

This data release supports U.S. Geological Survey Scientific Investigations Report 2023-5106, Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing Areas, Inyo and San Bernardino Counties, California. Geospatial datasets presented are two polygon shapefiles representing the groundwater discharge areas and evapotranspiration units for the Amargosa Wild and Scenic River and contributing areas, and a raster dataset representing the vegetation index corresponding to the vegetated evapotranspiration unit.

This data release contains geospatial data for the lower Walker River basin from the 2009 publication: Allander, K.A., Smith, J.L., and Johnson, M.J., 2009, Evapotranspiration from the lower Walker River basin, west-central Nevada, water years 2005-07: U.S. Geological Survey Scientific Investigations Report 2009-5079, https://doi.org/10.3133/sir20095079.

This data release contains geospatial data for the lower Walker River basin from the 2009 publication: Allander, K.A., Smith, J.L., and Johnson, M.J., 2009, Evapotranspiration from the lower Walker River basin, west-central Nevada, water years 2005–07: U.S. Geological Survey Scientific Investigations Report 2009-5079, https://doi.org/10.3133/sir20095079.