Validation and Bias Correction of Forecast Reference Evapotranspiration for Agricultural Applications in Nevada

McEvoy, Daniel J.; Roj, Shawn; Dunkerly, Christian; McGraw, David; Huntington, Justin L.; Hobbins, Mike T.; Ott, Thomas

doi:10.1061/(asce)wr.1943-5452.0001595

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Validation and Bias Correction of Forecast Reference Evapotranspiration for Agricultural Applications in Nevada

2022
By McEvoy, Daniel J. ; Roj, Shawn ; Dunkerly, Christian ; ...
Source: Journal of Water Resources Planning and Management, 148(11)

[PDF-3.93 MB]

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Journal Title:

Journal of Water Resources Planning and Management
Personal Author:

McEvoy, Daniel J. ; Roj, Shawn ; Dunkerly, Christian ; McGraw, David ; Huntington, Justin L. ; ... More +

McEvoy, Daniel J. ; Roj, Shawn ; Dunkerly, Christian ; McGraw, David ; Huntington, Justin L. ; Hobbins, Mike T. ; Ott, Thomas Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; PSL (Physical Sciences Laboratory)

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; PSL (Physical Sciences Laboratory) Less -
Description:

Accurate estimates of reference evapotranspiration ( ET0) are critical for estimating actual crop evapotranspiration and agricultural water use. This study uses observations from the Nevada Integrated Climate and Evapotranspiration Network (NICE Net) to validate forecasts ofET0and its driving variables from the National Weather Service ’s National Digital Forecast Database (NDFD). Daily NDFD ET0at lead times of 1 to 6 days were compared against 18 NICE Net stations. Correlations between NDFD and observations generally rangedbetween 0.4 and 0.9, with lower correlations at longer leads and a notable drop in skill during July and August. Systematic arid biases (high bias for temperatures and low bias for humidity) were found in NDFD with a strong warm minimum temperature bias and low vapor pressure bias most prominent during the growing season. Some of the largest relative biases were found in wind speed, although they were systematicand varied greatly by location. A case study revealed that NDFD consistently underestimates the variability found in observed minimum temperature, solar radiation, wind speed, and ET
Keywords:

[+]

Civil And Structural Engineering Geography, Planning And Development Management, Monitoring, Policy And Law Water Science And Technology
Source:

Journal of Water Resources Planning and Management, 148(11)
DOI:

https://doi.org/10.1061/(asce)wr.1943-5452.0001595
ISSN:

0733-9496;1943-5452;
Format:

PDF
Publisher:

American Society of Civil Engineers (ASCE)
Document Type:

Journal Article
Funding:

Grant no. NA20OAR4310253
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:63c605721db38db3dc80fcbe8d80b931938240a61af6e60584c661a39de09809
Download URL:

https://repository.library.noaa.gov/view/noaa/54049/noaa_54049_DS1.pdf
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Validation and Bias Correction of Forecast Reference Evapotranspiration for Agricultural Applications in Nevada

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