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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
24 Nov 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).
Improved meteorology and surface energy fluxes in mesoscale modelling using adjusted initial vertical soil moisture profiles
Igor Gómez1,2, Vicente Caselles1, María José Estrela3, Juan Manuel Sánchez4, Eva Rubio5, and Juan Javier Miró1 1Earth Physics and Thermodynamics Department, Faculty of Physics, University of Valencia, Doctor Moliner, 50, 46100 Burjassot, Valencia, Spain
2Environment and Earth Sciences Department, Faculty of Sciences, University of Alicante, Section 99, 03080 Alicante, Spain
3Geography Department, Faculty of Geography and History, University of Valencia, Avda. Blasco Ibáñez, 28, 46010 Valencia, Spain
4Applied Physics Department, EPC and IDR, University of Castilla-La Mancha, Avda. España s/n, 02071 Albacete, Spain
5Applied Physics Department, University of Castilla-La Mancha, Avda. España s/n, 02071 Albacete, Spain
Abstract. The Regional Atmospheric Modeling System (RAMS) is being used for different and diverse purposes, ranging from atmospheric and dispersion of pollutants forecasting to agricultural meteorology and ecological modelling as well as for hydrological purposes, among others. The current paper presents a comprehensive assessment of the RAMS forecasts, comparing the results not only with observed standard surface meteorological variables, measured at FLUXNET stations and other portable and permanent weather stations located over the region of study, but also with non-standard observed variables, such as the surface energy fluxes, with the aim of evaluating the surface energy budget and its relation with a proper representation of standard observations and key physical processes for a wide range of applications. In this regard, RAMS is assessed against in-situ surface observations during a selected period within July 2011 over Eastern Spain. In addition, the simulation results are also compared with different surface remote sensing data derived from the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) (MSG-SEVIRI) as well as the uncoupled Land Surface Models (LSM) Global Land Data Assimilation System (GLDAS). Both datasets complement the available in-situ observations and are used in the current study as the reference or ground truth when no observations are available on a selected location. Several sensitivity tests have been performed involving the initial soil moisture content, by adjusting this parameter in the vertical soil profile ranging from the most superficial soil layers to those located deeper underground. A refined adjustment of this parameter in the initialization of the model has shown to better represent the observed surface energy fluxes. The results obtained also show an improvement in the model forecasts found in previous studies in relation to standard observations, such as the air temperature and the moisture fields. Therefore, the application of a drier or wetter soil in distinct soil layers within the whole vertical soil profile has been found to be crucial in order to produce a better agreement between the simulation and the observations, thus reiterating the determining role of the initial soil moisture field in mesoscale modelling, but in this case considering the variation of this parameter vertically.

Citation: Gómez, I., Caselles, V., Estrela, M. J., Sánchez, J. M., Rubio, E., and Miró, J. J.: Improved meteorology and surface energy fluxes in mesoscale modelling using adjusted initial vertical soil moisture profiles, Hydrol. Earth Syst. Sci. Discuss.,, in review, 2017.
Igor Gómez et al.
Igor Gómez et al.
Igor Gómez et al.


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