Impact of GVF derivation methods on Noah Land Surface Model Simulations and WRF Model Forecasts

Fang, Li; Zhan, Xiwu; Hain, Christopher R.; Yin, Jifu; Liu, Jicheng

doi:10.1175/JHM-D-18-0075.1

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Impact of GVF derivation methods on Noah Land Surface Model Simulations and WRF Model Forecasts

2018
By Fang, Li ; Zhan, Xiwu ; Hain, Christopher R. ; ...
Source: Journal of Hydrometeorology, 19(12)

[PDF-3.43 MB]

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Fang, Li ; Zhan, Xiwu ; Hain, Christopher R. ; Yin, Jifu ; Liu, Jicheng

Fang, Li ; Zhan, Xiwu ; Hain, Christopher R. ; Yin, Jifu ; Liu, Jicheng Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; GOES-R (Geostationary Operation Environmental Satellite-R Series) ; JPSS (Joint Polar Satellite System Program Office) ; OAR (Oceanic and Atmospheric Research) ; ... More +

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; GOES-R (Geostationary Operation Environmental Satellite-R Series) ; JPSS (Joint Polar Satellite System Program Office) ; OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) Less -
Description:

In this paper, the [enhanced vegetation index] EVI-based and the [leaf area index] LAI-based [green vegetation fraction] GVF derivation methods are mathematically analyzed and are found to be significantly different from each other. Impacts of GVF differences on the Noah LSM simulations and on weather forecasts of the Weather Research and Forecasting (WRF) Model are further assessed. Results indicate that LAI-based GVF outperforms the EVI-based one when used in both the offline Noah LSM and WRF Model.
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North America; Satellite observations; Land surface model; Numerical weather prediction, Numerical weather forecasting
Source:

Journal of Hydrometeorology, 19(12)
DOI:

https://doi.org/10.1175/JHM-D-18-0075.1
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Journal Article
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urn:sha256:7b4fcb76cb600b3278db52ba73162099d2d33e724fec0ff4ec8906291e190920
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https://repository.library.noaa.gov/view/noaa/36771/noaa_36771_DS1.pdf
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Impact of GVF derivation methods on Noah Land Surface Model Simulations and WRF Model Forecasts

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