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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Title: 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
Authors: Gómez, Igor | Caselles, Vicente | Estrela, María J. | Sánchez, Juan Manuel | Rubio, Eva
Research Group/s: Grupo de Ingeniería y Riesgo Sísmico (GIRS)
Center, Department or Service: Universidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambiente
Keywords: Mesoscale modelling | Land surface models | Soil initialization | Numerical weather prediction/forecasting | Land cover | Surface energy fluxes
Knowledge Area: Física de la Tierra
Issue Date: 15-Feb-2018
Publisher: Elsevier
Citation: Agricultural and Forest Meteorology. 2018, 249: 319-334. doi:10.1016/j.agrformet.2017.10.027
Abstract: Atmospheric mesoscale numerical models are commonly used not only for research and air quality studies, but also for other related applications, such as short-term weather forecasting for atmospheric, hydrological, agricultural and ecological modelling. A key element to produce faithful simulations is the proper representation of the soil parameters used in the initialization of the corresponding mesoscale numerical model. The Regional Atmospheric Modeling System (RAMS) is used in the current study. The model code has been updated in order to permit the model to be initialized using a heterogeneous soil moisture and temperature distribution derived from land surface models. Particularly, RAMS has been adapted to incorporate the Global Land Data Assimilation System (GLDAS) dataset for the initialization of the corresponding soil parameters. The results obtained using this heterogeneous initialization are compared to the model results obtained by the default homogeneous RAMS initializations. A series of numerical experiments have been conducted for a 7-days period over eastern Spain within the 2011 summer season. The selected period covers different typical summer atmospheric situations from the region of study. Ground data from two FLUXNET stations, together with the measurements registered by a portable weather station, located over the region of study, and other permanent weather stations are used for the result assessment. Incorporating the GLDAS product in the initialization of RAMS has been found to remarkably improve the representation of surface sensible weather parameters. On the other hand, significant differences are still observed in the proper simulation of the surface parameters when the model is applied to well vegetated areas in comparison to those obtained over poor and/or sparsely vegetated regions. Considering the better agreement found in this latter case, we have performed several sensitivity tests regarding land-surface-atmosphere coupling with the aim of improving the original results over well vegetated areas.
Sponsor: This work has been funded by the Regional Government of Valencia through the project PROMETEOII/2014/086. The Spanish Ministry of Economy and Competitiveness with co-funding from the European Development Regional Fund (MINECO/FEDER, UE; Project AGL2014-55658-R, FORESTRENGTH), and the Education, Culture and Sports Department of the Castilla-La Mancha Regional Council with co-funding from the European Development Regional Fund (FEDER) (Project PEIC-2014- 002-P, ECOFLUX III) are acknowledged for funding the acquisition of surface fluxes data for RAMS validation.
URI: http://hdl.handle.net/10045/72663
ISSN: 0168-1923 (Print) | 1873-2240 (Online)
DOI: 10.1016/j.agrformet.2017.10.027
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2017 Elsevier B.V.
Peer Review: si
Publisher version: http://dx.doi.org/10.1016/j.agrformet.2017.10.027
Appears in Collections:INV - GIRS - Artículos de Revistas

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