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Gridded 20km Daily Reference Evapotranspiration for the State of Alaska from 1979 to 2017

Dates

Citation Creation Date
2019-09-25
Citation Publication Date
2020-09-01

Summary

Reference evapotranspiration (ET0), like potential evapotranspiration, is a measure of atmospheric evaporative demand. It was used in the context of this study to evaluate drought conditions that can lead to wildfire activity in Alaska using the Evaporative Demand Drought Index (EDDI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The ET0 data are on a 20km grid with daily temporal resolution and were computed using the meteorological inputs from the dynamically downscaled ERA-Interim reanalysis and two global climate model projections (CCSM4 and GFDL-CM3). The model projections are from CMIP5 and use the RCP8.5 scenario. The dynamically downscaled data are available at https://registry.opendata.aws/wrf-alaska-snap/. [...]

Contacts

Originator :
Peter Bieniek
Point of Contact :
Peter Bieniek
Publisher :
David Watkins

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Input directly

Additional Information

Identifiers

Type Scheme Key
File Identifier file identifier 5f46f2b282ce4c3d12257eb4

NetCDF OPeNDAP Service Extension

boundingBox
minY37.23
minX-65.4
maxY88.26
maxX122.3
summaryReference evapotranspiration (ET0), like potential evapotranspiration, is a measure of atmospheric evaporative demand. It was used in the context of this study to evaluate drought conditions that can lead to wildfire activity in Alaska using the Evaporative Demand Drought Index (EDDI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The ET0 data are on a 20km grid with daily temporal resolution and were computed using the meteorological inputs from the dynamically downscaled ERA-Interim reanalysis and two global climate model projections (CCSM4 and GFDL-CM3). The model projections are from CMIP5 and use the RCP8.5 scenario. The dynamically downscaled data are available at https://registry.opendata.aws/wrf-alaska-snap/. The ET0 was computed following the American Society of Civil Engineers Standardized Reference Evapotranspiration Equation based on the downscaled daily temperature, humidity and winds. The full details of the computation of ET0, an evaluation of the underlying data, and the assessment of the fire indices are described in Ziel et al. (2020; https://doi.org/10.3390/f11050516).
titleGFDL historical simulation
urlhttps://cida.usgs.gov/thredds/dodsC//alaska_et_2020_gfdl_historical_simulation

NetCDF OPeNDAP Service Extension

boundingBox
minY37.23
minX-65.4
maxY88.26
maxX122.3
summaryReference evapotranspiration (ET0), like potential evapotranspiration, is a measure of atmospheric evaporative demand. It was used in the context of this study to evaluate drought conditions that can lead to wildfire activity in Alaska using the Evaporative Demand Drought Index (EDDI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The ET0 data are on a 20km grid with daily temporal resolution and were computed using the meteorological inputs from the dynamically downscaled ERA-Interim reanalysis and two global climate model projections (CCSM4 and GFDL-CM3). The model projections are from CMIP5 and use the RCP8.5 scenario. The dynamically downscaled data are available at https://registry.opendata.aws/wrf-alaska-snap/. The ET0 was computed following the American Society of Civil Engineers Standardized Reference Evapotranspiration Equation based on the downscaled daily temperature, humidity and winds. The full details of the computation of ET0, an evaluation of the underlying data, and the assessment of the fire indices are described in Ziel et al. (2020; https://doi.org/10.3390/f11050516).
titleCCSM4 historical simulation
urlhttps://cida.usgs.gov/thredds/dodsC//alaska_et_2020_ccsm4_historical_simulation

NetCDF OPeNDAP Service Extension

boundingBox
minY37.23
minX-65.4
maxY88.26
maxX122.3
summaryReference evapotranspiration (ET0), like potential evapotranspiration, is a measure of atmospheric evaporative demand. It was used in the context of this study to evaluate drought conditions that can lead to wildfire activity in Alaska using the Evaporative Demand Drought Index (EDDI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The ET0 data are on a 20km grid with daily temporal resolution and were computed using the meteorological inputs from the dynamically downscaled ERA-Interim reanalysis and two global climate model projections (CCSM4 and GFDL-CM3). The model projections are from CMIP5 and use the RCP8.5 scenario. The dynamically downscaled data are available at https://registry.opendata.aws/wrf-alaska-snap/. The ET0 was computed following the American Society of Civil Engineers Standardized Reference Evapotranspiration Equation based on the downscaled daily temperature, humidity and winds. The full details of the computation of ET0, an evaluation of the underlying data, and the assessment of the fire indices are described in Ziel et al. (2020; https://doi.org/10.3390/f11050516).
titleERA-Interim reanalysis
urlhttps://cida.usgs.gov/thredds/dodsC//alaska_et_2020_era-interim_reanalysis

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