DOI: 10.1016/j.atmosres.2018.06.020
Scopus记录号: 2-s2.0-85049726156
论文题名: Improved meteorology and surface fluxes in mesoscale modelling using adjusted initial vertical soil moisture profiles
作者: Gómez I. ; Caselles V. ; Estrela M.J. ; Sánchez J.M. ; Rubio E. ; Miró J.J.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 213 起始页码: 523
结束页码: 536
语种: 英语
英文关键词: Mesoscale modelling
; Model initialization
; RAMS
; Soil moisture
; Surface fluxes
Scopus关键词: Atmospheric movements
; Budget control
; Image enhancement
; Interfacial energy
; Meteorology
; Random access storage
; Remote sensing
; Soil moisture
; Surface measurement
; Weather forecasting
; Comprehensive assessment
; Land data assimilation systems
; Mesoscale modelling
; Meteorological variables
; Meteosat second generation spinning enhanced visible and infrared imager (seviri) (MSG)
; Model initialization
; Regional atmospheric modeling systems
; Surface flux
; Soil surveys
; atmospheric modeling
; computer simulation
; mesoscale meteorology
; soil moisture
; soil profile
; surface energy
; surface flux
英文摘要: 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. © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108765
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Earth Physics and Thermodynamics Department, Faculty of Physics, University of Valencia, Doctor Moliner, 50, Burjassot, Valencia 46100, Spain; Environment and Earth Sciences Department, Faculty of Sciences, University of Alicante, Section 99, Alicante, E-03080, Spain; Geography Department, Faculty of Geography and History, University of Valencia, Avda. Blasco Ibáñez, 28Valencia 46010, Spain; Applied Physics Department, EPC and IDR, University of Castilla-La Mancha, Avda. España s/n, Albacete, 02071, Spain; Applied Physics Department, University of Castilla-La Mancha, Avda. España s/n, Albacete, 02071, Spain
Recommended Citation:
Gómez I.,Caselles V.,Estrela M.J.,et al. Improved meteorology and surface fluxes in mesoscale modelling using adjusted initial vertical soil moisture profiles[J]. Atmospheric Research,2018-01-01,213