Filters: Tags: potential evapotranspiration (X)
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Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015
IMPORTANT NOTE: A more recent version of this data release is available from this link. This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2016), with the processed data through September 30, 2015. The primary data for each year is downloaded from the ANL website (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). Hourly potential evapotranspiration computed using the computer program LXPET (Lamoreux Potential Evapotranspiration). Murphy (2005) describes in detail the computer program LXPET. References Cited: ...
Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018
This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2018), with the data processed through September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) is computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation, and disaggregated to hourly PET by using the...
These tabular data sets represent monthly water balance variables as described in Wolock and McCabe (2017) for the years 1945 through 2019, compiled for the NHDPlus version 2.1 data suite (NHDPlusV2) for the conterminous United States. The variables included are: actual evapotranspiration (AET) , potential evapotranspiration (PET), precipitation (PPT), runoff (RUN) , percent of annual precipitation as snow (SNO) , snow water equivalent (SWE), snow melt (SNM), soil moisture storage (STO), and temperature (TAV). Linkage of these data with NHDPlusV2 is achieved through the common unique identifier COMID. The values are estimated both for: 1) individual reach catchments and 2) reach catchments accumulated upstream through...
The text file "PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch, from January 1, 1948, to September 30, 2018. Daily PET were computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation and disaggregated to hourly PET, using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2018), and data processing followed the guidelines documented in Over and others (2010). References Cited: Argonne National Laboratory, 2018, Meteorological data, accessed on October 10, 2018, at http://www.atmos.anl.gov/ANLMET/. ...
This USGS data release consists of the synthetic stream network and associated catchments used to develop spatially referenced regressions on watershed attributes (SPARROW) model of dissolved-solids sources and transport in the Upper Colorado River Basin as well as geology and selected Basin Characterization Model (BCM) data used as input to the model.
Types: Citation;
Tags: Actual Evapotranspiration,
Arizona,
Catchment,
Climatic Water Deficit,
Colorado,
This digital dataset contains the climate data used for the Lower Salinas Valley Hydrologic Models (Salinas Valley Integrated Hydrologic Model (SVIHM) and Salinas Valley Operational Model (SVOM)). The monthly climate data for the Lower Salinas Valley Hydrologic Models are based on the regional climate data for the Salinas Valley Hydrologic System [Hevesi and others, 2022]. To develop the monthly climate grids, the regional climate data were resampled to a monthly timescale and area weighted to the model grid. The climate data include spatially distributed monthly precipitation and potential evapotranspiration for the model grid for October 1967 to September 2018.
Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022
This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2022), with the processed data through September 30, 2022. The primary data for water year 2022 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and is processed following the guidelines documented in Over and others (2010). This DR also describes the Watershed Data Management (WDM) database file ARGN22.WDM. The WDM file ARGN22.WDM is an update of ARGN21.WDM (Bera, 2022) with the processed data from October 1, 2021, through September 30, 2022, appended to it. ARGN22.WDM file contains...
These tabular data sets represent daily climate metrics processed from 4 kilometer GridMET data (Abatzoglou, 2013) for the period of record 1980 through 2020 and compiled for three spatial components: select United States Geological Survey stream gage basins (Staub and Wieczorek, 2023), 2) individual reach flowline catchments of the Upper and Lower Colorado (ucol) portions of the Geospatial Fabric for the National Hydrologic Model, version 1.1 (nhgfv11, Bock and others, 2020 ), and 3) the upstream watersheds of each individual nhgfv11 flowline catchments. Flowline reach catchment information characterizes data at the local scale using the python tool set called gdptools (McDonald, 2021). Reach catchments accumulated...
Categories: Data;
Tags: CONUS,
Conterminous United States,
Coterminous United States,
Geospatial Fabric,
GridMET,
The ability to apply a hydrologic model to large numbers of basins for forecasting purposes requires a quick and effective calibration strategy. This paper presents a step wise, multiple objective, automated procedure for hydrologic model calibration. This procedure includes the sequential calibration of a model's simulation of solar radiation (SR), potential evapotranspiration (PET), water balance, and daily runoff. The procedure uses the Shuffled Complex Evolution global search algorithm to calibrate the U.S. Geological Survey's Precipitation Runoff Modeling System in the Yampa River basin of Colorado. This process assures that intermediate states of the model (SR and PET on a monthly mean basis), as well as the...
Project Summary Climate change is projected to have substantial impacts on Pacific Northwest water resources and ecosystems. Recognizing this, resource managers have expressed growing interest in incorporating climate change information into long-range planning. The availability of hydrologic scenarios to support climate change adaptation and long-range planning, however, has been limited until very recently to a relatively small number of selected case studies. More comprehensive resources needed to support regional planning have been lacking. Furthermore, ecosystem studies at the landscape scale need consistent climate change information and databases over large geographic areas. Products using a common set of...
This metadata record describes a series of data sets of natural, climatic, and anthropogenic landscape features processed as model inputs for the Data-Driven Drought Prediction Project of the Water Resources Mission Area Drought Program. These data are linked to two different spatial units: the National Hydrologic Geospatial Fabric version 1.1 (nhgfv1.1) including their associated individual catchments as well as their upstream watersheds for the Upper and Lower portions of the Colorado River Basin (Bock and others, 2020) and select U.S. Geological Survey streamgage basins for the conterminous United States ( Wieczorek and Staub, 2023). Child items are arranged by data themes (GRIDMET, NLDAS-2, SWE, see table below...
Note: this data release is currently being revised and is temporarily unavailable. This digital dataset consists of monthly climate data from the Basin Characterization Model v8 (BCMv8) for the updated Central Valley Hydrologic Model (CVHM2) for water years 1922 to 2019. The BCMv8 data are available in a separate data release titled "The Basin Characterization Model - A regional water balance software package (BCMv8) data release and model archive for hydrologic California, water years 1896-2020" that accompanies the USGS Techniques and Methods report titled: "The Basin Characterization Model - A Regional Water Balance Software Package". The BCMv8 data are extracted from the state-wide data for the CVHM2 modeled...
The text file "PET.txt" contains hourly potential evapotranspiration (PET) data in thousandths of an inch from January 1, 1948, to September 30, 2017. Daily PET in thousandths of an inch is computed from average daily air temperature in degrees Fahrenheit (°F), average daily dewpoint temperature in degrees Fahrenheit (°F), daily total wind movement in miles (mi), and daily total solar radiation in Langleys per day (Lg/d) and disaggregated to hourly PET in thousandths of an inch using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). References...
ARGN14.WDM contains nine data series: air temperature in degrees Fahrenheit (dsn 400), dewpoint temperature in degrees Fahrenheit (dsn 500), wind speed in miles per hour (dsn 300), solar radiation in Langleys (dsn 600), computed potential evapotranspiration in thousandths of an inch (dsn 200), and four flags data series for air temperature (dsn 410), dewpoint temperature (dsn 510), wind speed (dsn 310) and solar radiation (dsn 610) respectively from January 1,1948, to September 30, 2015. The primary source of the data is the Argonne National Laboratory, Illinois. To open this file user needs to install any of the utilities described in the section "The Related External Resources" in this page.
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated on an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and at a daily time-scale from January 1, 2020 to December 31, 2020 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data for 2020. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data; blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo...
Watershed Data Management (WDM) database file ARGN21.WDM is an update of ARGN20.WDM (Bera, 2021) with the processed data from October 1, 2020 through September 30, 2021, appended to it. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and processed following the guidelines documented in Over and others (2010). ARGN21.WDM file contains nine data series: air temperature, in degrees Fahrenheit (dsn 400), dewpoint temperature, in degrees Fahrenheit (dsn 500), wind speed, in miles per hour (dsn 300), solar radiation, in Langleys (dsn 600), computed potential evapotranspiration, in thousandths of an inch (dsn 200), and four data-source flag series for air...
ARGN17.WDM contains nine data series: air temperature in degrees Fahrenheit (dsn 400), dewpoint temperature in degrees Fahrenheit (dsn 500), wind speed in miles per hour (dsn 300), solar radiation in Langleys (dsn 600), computed potential evapotranspiration in thousandths of an inch (dsn 200), and four data-source flag series for air temperature (dsn 410), dewpoint temperature (dsn 510), wind speed (dsn 310) and solar radiation (dsn 610) respectively from January 1,1948, to September 30, 2017. The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) in...
The text file "PET.txt" contains the hourly data from January 1, 1948, to September 30, 2016. Daily potential evapotranspiration (PET) in thousandths of an inch is computed from average daily air temperature in degrees Fahrenheit (°F), average daily dewpoint temperature in degrees Fahrenheit (°F), daily total wind movement in miles (mi), and daily total solar radiation in Langleys per day (Lg/d) and disaggregated to hourly PET in thousandths of an inch using the Fortran program LXPET (Murphy, 2005). Reference Cited: Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program:...
ARGN16.WDM contains nine data series: air temperature in degrees Fahrenheit (dsn 400), dewpoint temperature in degrees Fahrenheit (dsn 500), wind speed in miles per hour (dsn 300), solar radiation in Langleys (dsn 600), computed potential evapotranspiration in thousandths of an inch (dsn 200), and four data-source flag series for air temperature (dsn 410), dewpoint temperature (dsn 510), wind speed (dsn 310) and solar radiation (dsn 610) respectively from January 1,1948, to September 30, 2016. The primary source of the data is the Argonne National Laboratory, Illinois. To open this file user needs to install any of the utilities described in the section "The Related External Resources" in this page.
Watershed Data Management (WDM) database file ARGN19.WDM is an update of ARGN18.WDM (Bera, 2019) with the processed data from October 1, 2018 through September 30, 2019, appended to it. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2019) and processed following the guidelines documented in Over and others (2010). ARGN19.WDM file contains nine data series: air temperature, in degrees Fahrenheit (dsn 400), dewpoint temperature, in degrees Fahrenheit (dsn 500), wind speed, in miles per hour (dsn 300), solar radiation, in Langleys (dsn 600), computed potential evapotranspiration, in thousandths of an inch (dsn 200), and four data-source flag series for air...
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