Filters: Tags: Potential Evapotranspiration (X)
69 results (50ms)|
Filters
Date Range
Extensions (Less) Types (Less)
Contacts (Less)
Categories (Less) Tag Types
|
The text file "PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch, from January 1, 1948, to September 30, 2019. 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, 2019), and data processing followed the guidelines documented in Over and others (2010). References Cited: Argonne National Laboratory, 2019, Meteorological data, accessed on November 6, 2019, at http://www.atmos.anl.gov/ANLMET/. ...
Watershed Data Management (WDM) database file ARGN20.WDM is an update of ARGN19.WDM (Bera, 2020) with the processed data from October 1, 2019 through September 30, 2020, appended to it. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2020) and processed following the guidelines documented in Over and others (2010). ARGN20.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...
The text file "PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch, from January 1, 1948, to September 30, 2021. 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, 2022), and data processing followed the guidelines documented in Over and others (2010). References Cited: Argonne National Laboratory, 2022, Meteorological data, accessed on January 17, 2022, at https://www.atmos.anl.gov/ANLMET/numeric/. Murphy,...
This data release is the update of the U.S. Geological Survey - ScienceBase data release Bera (2022b), with the processed data for the period October 1, 2020, through September 30, 2021. This data release describes the watershed data management (WDM) database SC21.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2020, through September 30, 2021, are processed following the guidelines described in Bera (2014) and Murphy and Ishii (2006) and appended to SC20.WDM and renamed as SC21.WDM....
Water availability defines and is the most frequent control on processes in arid and semiarid ecosystems. Despite widespread recognition of the importance of water in dry areas, knowledge about key processes in the water balance is surprisingly limited. How water is partitioned between evaporation and transpiration is an area about which ecosystem ecologists have almost no information. We used a daily time step soil water model and 39 years of data to describe the ecohydrology of a shortgrass steppe and investigate how manipulation of soil and vegetation variables influenced the partitioning of water loss between evaporation and transpiration. Our results emphasize the overwhelming importance of two environmental...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: E/AET,
Ecosystems,
Springer New York,
T/AET,
ecohydrology,
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale from January 1, 2019 to December 31, 2019 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (minimum/maximum temperature, minimum/maximum relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data for 2019. 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...
Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2014
IMPORTANT NOTE: On September 27, 2016, a formatting error in these data was discovered. This error involves extra spaces in certain lines of the .txt data files, which may cause an error in the interpretation of the data values or data-source flags when read by other software. This error has been corrected in the WY 2015 data which can be accessed from this link. The U.S. Geological Survey (USGS), in cooperation with DuPage County, Illinois, maintains a Watershed Data Management (WDM) database consisting of hourly dewpoint temperature, air temperature, solar radiation, wind speed data based on the data collected at the Argonne National Laboratory (ANL) and hourly potential evapotranspiration computed from them...
This digital dataset contains the climate data used for the Salinas Valley Hydrologic System, including the Salinas Valley Watershed Model (SVWM) and the Lower Salinas Valley Hydrologic Models (Salinas Valley Integrated Hydrologic Model (SVIHM) and Salinas Valley Operational Model (SVOM)). The climate data include spatially distributed daily precipitation, maximum and minimum air temperature, and potential evapotranspiration for the period from 10/1/1947 to 9/30/2018. This data set includes the following files: raster of the extent used in the Salinas Valley Hydrologic System; shapefiles of the input climate stations and daily gridded climate data for daily precipitation (PPT), maximum and minimum air temperature...
Note: this data release has been deprecated. Find the new version here: https://doi.org/10.5066/P9QCLGKM. This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(NOAA, 2020) ClimGrid data for precipitation and temperature. This NetCDF contains the following monthly inputs: temperature (degrees Celsius) and precipitation (millimeters, mm) and the following outputs (all in mm): runoff, soil moisture storage, actual evapotranspiration, potential...
|
|
