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Daymet Version 4 Monthly Latency: Daily Surface Weather Data

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1904
Version1
Project
Published2021-05-28
Updated2021-09-22
Usage99 downloads

Description

This dataset provides Daymet Version 4 daily data on a monthly cycle as 1-km gridded estimates of daily weather variables for minimum temperature (tmin), maximum temperature (tmax), precipitation (prcp), shortwave radiation (srad), vapor pressure (vp), snow water equivalent (swe), and day length. Data are derived from the Daymet version 4 software where the primary inputs are daily observations of near-surface maximum and minimum air temperature and daily total precipitation from weather stations. The main algorithm to estimate primary Daymet variables (tmax, tmin, and prcp) at each Daymet grid is based on a combination of interpolation and extrapolation, using inputs from multiple weather stations and weights that reflect the spatial and temporal relationships between a Daymet grid and the surrounding weather stations. Secondary variables (srad, vp, and swe) are derived from the primary variables (tmax, tmin, and prcp) based on atmospheric theory and empirical relationships. The day length (dayl) estimate is based on geographic location and time of year. Data are available for the Continental North America, Puerto Rico, and Hawaii as separate spatial layers in a Lambert Conformal Conic projection and are distributed in standardized Climate and Forecast (CF)-compliant netCDF file formats.

Science Keywords

  • ATMOSPHERE
  • ATMOSPHERIC TEMPERATURE
  • SURFACE TEMPERATURE
  • MAXIMUM/MINIMUM TEMPERATURE
  • ATMOSPHERE
  • ATMOSPHERIC WATER VAPOR
  • WATER VAPOR INDICATORS
  • VAPOR PRESSURE
  • ATMOSPHERE
  • ATMOSPHERIC RADIATION
  • SHORTWAVE RADIATION
  • ATMOSPHERE
  • PRECIPITATION
  • PRECIPITATION AMOUNT
  • 24 HOUR PRECIPITATION AMOUNT
  • ATMOSPHERE
  • PRECIPITATION
  • SNOW WATER EQUIVALENT

Data Use and Citation

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Crosscite Citation Formatter
Thornton, M.M., R. Shrestha, P.E. Thornton, S. Kao, Y. Wei, and B.E. Wilson. 2021. Daymet Version 4 Monthly Latency: Daily Surface Weather Data. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1904

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

Data Files

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Companion Files

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Dataset has 2 companion files.

  • Daymet_V4_Daily_MonthlyLatency_changelog.txt
  • Daymet_V4_Daily_MonthlyLatency.pdf

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Additional Resources

TypeTitle
CodeAgrometeorological data using R-software
WebinarToward Analysis Ready Data - Programmatically Discover, Access, and Subset Daymet V4 Data with Python and ArcGIS