This archive contains daily surface meteorological (METDATA) data for the Continental United States at 4-km (1/24-deg) resolution. The meteorological variables are maximum/minimum temperature, precipitation amount and duration, maximum/minimum relative humidity,downward shortwave solar radiation, wind speed and direction, and specific humidity. The method utilized here combines desirable spatial attributes of gridded climate data from PRISM and desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation from NLDAS-2 to derive a spatially and temporally complete high resolution gridded dataset of surface meteorological variables for the continental US for 1979-present. Validation of this data suggests that it can serve as a suitable surrogate for landscape-scale ecological modeling across vast unmonitored areas of the US. For more information visit: http://metdata.northwestknowledge.net/

The North American Dataset contains sets of Maximum, Minimum and Average Temperature data and Precipitation data that are either (1) raw (non-adjusted though flagged for possible quality issues), (2) adjusted due to time of observation bias (TOB) or (3) put through the Pairwise Homogenization Algorithm (PHA). These files contain North American stations and its data are measured in hundredths of degrees Celsius (without decimal place) for temperature and tenths of millimeters (without decimal place) for Precipitation. Each file includes the entire available Period of Record.

The downloadable ZIP file contains a Microsoft Access Database. Daily climatological data from National Weather Service (NWS) stations for Idaho from July 1892 - May 2008. For information on how these data were collected please see the NWS Cooperative Observer Program: https://www.weather.gov/coop/.,

,Detailed hydrometeorological data from the mountain rain-to-snow transition zone are present for water years 2004 through 2014. The Johnston Draw watershed (1.8 km2), ranging from 1497 – 1869 m in elevation, is a sub-watershed of the Reynolds Creek Experimental Watershed (RCEW) in southwestern Idaho. The dataset includes continuous hourly hydrometeorological variables across a 372 m elevation gradient, on north- and south-facing slopes, including air temperature, relative humidity and snow depth from 11 sites in the watershed. Hourly measurements of solar radiation, precipitation, wind speed and direction, and soil moisture and temperature are available at selected stations. The dataset includes hourly stream discharge measured at the watershed outlet. These data provide the scientific community with a unique dataset useful for forcing and validating models in interdisciplinary studies and will allow for better representation and understanding of the complex processes that occur in the rain-to-snow transition zone.,This version of the data set fixes errors in all data files and supersedes the earlier datasets https://doi.org/10.15482/USDA.ADC/1258769 and https://doi.org/10.15482/USDA.ADC/1245163.,See the file inventory included with this dataset for more information on individual data files.,For more information about this dataset contact: Clarissa L. Enslin: enslclar@gmail.com Sarah Godsey: godsey@isu.edu Danny G. Marks: ars.danny@gmail.com,

This data set represents monthly precipitation (in millimeters), and minimum and maximum temperature (in degrees Fahrenheit) over the period 1980-2023 compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlusV2 by the unique identifier COMID. Reach catchment information characterizes data at the local scale. Reach catchments are accumulated upstream through the river network using a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. The variables included are precipitation (gridMet_CAT_pr and gridMet_TOT_pr), minimum temperature (gridMet_CAT_tmmn and gridMet_TOT_tmmn), and maximum temperature (gridMet_CAT_tmmx and gridMet_TOT_tmmx) summarized from gridMET (Abatzoglou, 2011). Summaries are provided for five regions corresponding to NHDPlusV2 vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and daily) Bias Correction Spatial Dissaggregation (mBCSD,dBCSD); 3 dynamical downscaling methods: interpolations of the outputs from North American Regional Climate Change Assessment Program(sdNARCCAP) regional downscaling utilizing 3 regional models: CRCM,MM5I and WRFG; and 3 hybrid downscaling methods: bias correction of interpolated outputs from NARCCAP regional downscaling using CRCM,MM5I and WRFG. All of the methods are used to downscale the entire suite of variables except for mBCSD (which is only used to downscale tmax/tmin/pr and these results are used with MTCLIM(Glassy et al., 1994) to generate rsds/was/huss). Each of the downscaling outputs are run through the Variable Infiltration Capacity (VIC) hydrologic model to generate the hydrological projections.

This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and daily) Bias Correction Spatial Dissaggregation (mBCSD,dBCSD); 3 dynamical downscaling methods: interpolations of the outputs from North American Regional Climate Change Assessment Program(sdNARCCAP) regional downscaling utilizing 3 regional models: CRCM,MM5I and WRFG; and 3 hybrid downscaling methods: bias correction of interpolated outputs from NARCCAP regional downscaling using CRCM,MM5I and WRFG. All of the methods are used to downscale the entire suite of variables except for mBCSD (which is only used to downscale tmax/tmin/pr and these results are used with MTCLIM(Glassy et al., 1994) to generate rsds/was/huss). Each of the downscaling outputs are run through the Variable Infiltration Capacity (VIC) hydrologic model to generate the hydrological projections.

We deployed a meteorological weather station at GFDF that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes.

These CLIM-MET stations are meteorological/geological stations that is designed to function in remote areas for long periods of time without human intervention. These stations measure meteorological and wind-erosion parameters under varying climatic and land-use conditions to detect and describe ongoing landscape changes. These data represent multiple years of local detailed landscape and environmental change observations. These data were collected in and close to Canyonlands National Park, Utah from 1 August 2016 to 31 December 2022. These data were collected by U.S. Geological Survey researchers utilizing site visits and automated data collection data loggers. These data can be used to inform studies of local and regional landscape change as well as to provide input into regional climatic models.