Simulation of surface energy fluxes and meteorological variables using the Regional Atmospheric Modeling System (RAMS): Evaluating the impact of land-atmosphere coupling on short-term forecasts

Simulation of surface energy fluxes and meteorological variables using the Regional Atmospheric... •Heterogeneous GLDAS soil moisture and temperature are used for RAMS initialization.•Incorporation of heterogeneous data improves homogeneous soil RAMS initializations.•A proper initial soil moisture field enhances surface energy fluxes and meteorology.•An adequate transpiration representation positively affects the simulation results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural and Forest Meteorology Elsevier

Simulation of surface energy fluxes and meteorological variables using the Regional Atmospheric Modeling System (RAMS): Evaluating the impact of land-atmosphere coupling on short-term forecasts

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0168-1923
D.O.I.
10.1016/j.agrformet.2017.10.027
Publisher site
See Article on Publisher Site

Abstract

•Heterogeneous GLDAS soil moisture and temperature are used for RAMS initialization.•Incorporation of heterogeneous data improves homogeneous soil RAMS initializations.•A proper initial soil moisture field enhances surface energy fluxes and meteorology.•An adequate transpiration representation positively affects the simulation results.

Journal

Agricultural and Forest MeteorologyElsevier

Published: Feb 15, 2018

References

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