Sensitivity of near-surface variables in the RUC land surface model in the Weather Research and Forecasting model

Xia, G.; Smirnova, T.G.; Turner, D.D.; He, S.; Yang, B.; Berg, L.K.; Draxl, C.

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Sensitivity of near-surface variables in the RUC land surface model in the Weather Research and Forecasting model

2023
By Xia, G. ; Smirnova, T.G. ; Turner, D.D. ; ...

[PDF-3.44 MB]

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Personal Author:

Xia, G. ; Smirnova, T.G. ; Turner, D.D. ; He, S. ; Yang, B. ; ... More +

Xia, G. ; Smirnova, T.G. ; Turner, D.D. ; He, S. ; Yang, B. ; Berg, L.K. ; Draxl, C. Less -
Corporate Authors:

National Renewable Energy Laboratory (U.S.) ; Global Systems Laboratory (U.S.) ; Cooperative Institute for Research in the Environmental Sciences. ; Nanjing da xue. ; Pacific Northwest National Laboratory (U.S.) ; ... More +

National Renewable Energy Laboratory (U.S.) ; Global Systems Laboratory (U.S.) ; Cooperative Institute for Research in the Environmental Sciences. ; Nanjing da xue. ; Pacific Northwest National Laboratory (U.S.) ; Renewable and Sustainable Energy Institute. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GSL (Global Systems Laboratory) ; CIRES (Cooperative Institute for Research in Environmental Sciences)

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

In this study, we investigate the parametric sensitivity of near-surface variables, such as sensible heat flux, latent heat flux, ground heat flux, hub-height wind speed and land surface temperature, to the parameters used in the rapid update cycle (RUC) land surface model (LSM) during a winter and summer periods.
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Mathematical Models Meteorology Numerical Weather Forecasting Research
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https://creativecommons.org/publicdomain/zero/1.0/
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urn:sha-512:231726b9612d0dbdb59fd9ada8016ede555d51e16fdb652f4e3bc33b5b3b82ada521c8bf3030202b15c3f6dc391a0ca26dbfe0b2e29e5a8e9592819ffa0251b1
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Sensitivity of near-surface variables in the RUC land surface model in the Weather Research and Forecasting model

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