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Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations : Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Region in Eastern Spain

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Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations : Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Region in Eastern Spain

dc.contributor.author	Gómez, Igor
dc.contributor.author	Molina, Sergio
dc.contributor.author	Galiana Merino, Juan José
dc.contributor.author	Estrela Navarro, María José
dc.contributor.author	Caselles Miralles, Vicente
dc.date.accessioned	2022-05-12T10:29:15Z
dc.date.available	2022-05-12T10:29:15Z
dc.date.issued	2021
dc.identifier.citation	Gómez, Igor Molina, Sergio Galiana Merino, Juan José Estrela Navarro, María José Caselles Miralles, Vicente 2021 Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations : Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Region in Eastern Spain Sustainability 13 1 17
dc.identifier.uri	https://hdl.handle.net/10550/82738
dc.description.abstract	The current study evaluates the ability of the Weather Research and Forecasting Model (WRF) to forecast surface energy fluxes over a region in Eastern Spain. Focusing on the sensitivity of the model to Land Surface Model (LSM) parameterizations, we compare the simulations provided by the original Noah LSM and the Noah LSM with multiple physics options (Noah-MP). Furthermore, we assess the WRF sensitivity to different Noah-MP physics schemes, namely the calculation of canopy stomatal resistance (OPT_CRS), the soil moisture factor for stomatal resistance (OPT_BTR), and the surface layer drag coefficient (OPT_SFC). It has been found that these physics options strongly affect the energy partitioning at the land surface in short-time scale simulations. Aside from in situ observations, we use the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensor to assess the Land Surface Temperature (LST) field simulated by WRF. Regarding multiple options in Noah-MP, WRF has been configured using three distinct soil moisture factors to control stomatal resistance (β factor) available in Noah-MP (Noah, CLM, and SSiB-types), two canopy stomatal resistance (Ball-Berry and Jarvis), and two options for surface layer drag coefficients (Monin-Obukhov and Chen97 scheme). Considering the β factor schemes, CLM and SSiB-type β factors simulate very low values of the latent heat flux while increasing the sensible heat flux. This result has been obtained independently of the canopy stomatal resistance scheme used. Additionally, the surface skin temperature simulated by Noah-MP is colder than that obtained by the original Noah LSM. This result is also highlighted when the simulated surface skin temperature is compared to the MSG-SEVIRI LST product. The largest differences between the satellite data and the mesoscale simulations are produced using the Noah-MP configurations run with the Monin-Obukhov parameterization for surface layer drag coefficients. In contrast, the Chen97 scheme shows larger surface skin temperatures than Monin-Obukhov, but at the expense of a decrease in the simulated sensible heat fluxes. In this regard, the ground heat flux and the net radiation play a key role in the simulation results.
dc.language.iso	eng
dc.relation.ispartof	Sustainability, 2021, vol. 13, p. 1-17
dc.subject	Geografia
dc.title	Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations : Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Region in Eastern Spain
dc.type	journal article	es_ES
dc.date.updated	2022-05-12T10:29:15Z
dc.identifier.doi	10.3390/su132011399
dc.identifier.idgrec	152423
dc.rights.accessRights	open access	es_ES