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dc.contributor.author
Galligani, Victoria Sol  
dc.contributor.author
Wang, Die  
dc.contributor.author
Alvarez Imaz, María de Los Milagros  
dc.contributor.author
Salio, Paola Veronica  
dc.contributor.author
Prigent, Catherine  
dc.date.available
2018-09-20T21:19:57Z  
dc.date.issued
2017-10  
dc.identifier.citation
Galligani, Victoria Sol; Wang, Die; Alvarez Imaz, María de Los Milagros; Salio, Paola Veronica; Prigent, Catherine; Analysis and evaluation of WRF microphysical schemes for deep moist convection over south-eastern South America (SESA) using microwave satellite observations and radiative transfer simulations; Copernicus Publications; Atmospheric Measurement Techniques; 10; 10; 10-2017; 3627-3649  
dc.identifier.issn
1867-1381  
dc.identifier.uri
http://hdl.handle.net/11336/60530  
dc.description.abstract
In the present study, three meteorological events of extreme deep moist convection, characteristic of south-eastern South America, are considered to conduct a systematic evaluation of the microphysical parameterizations available in the Weather Research and Forecasting (WRF) model by undertaking a direct comparison between satellite-based simulated and observed microwave radiances. A research radiative transfer model, the Atmospheric Radiative Transfer Simulator (ARTS), is coupled with the WRF model under three different microphysical parameterizations (WSM6, WDM6 and Thompson schemes). Microwave radiometry has shown a promising ability in the characterization of frozen hydrometeors. At high microwave frequencies, however, frozen hydrometeors significantly scatter radiation, and the relationship between radiation and hydrometeor populations becomes very complex. The main difficulty in microwave remote sensing of frozen hydrometeor characterization is correctly characterizing this scattering signal due to the complex and variable nature of the size, composition and shape of frozen hydrometeors. The present study further aims at improving the understanding of frozen hydrometeor optical properties characteristic of deep moist convection events in south-eastern South America. In the present study, bulk optical properties are computed by integrating the single-scattering properties of the Liu(2008) discrete dipole approximation (DDA) single-scattering database across the particle size distributions parameterized by the different WRF schemes in a consistent manner, introducing the equal mass approach. The equal mass approach consists of describing the optical properties of the WRF snow and graupel hydrometeors with the optical properties of habits in the DDA database whose dimensions might be different (Dmax′) but whose mass is conserved. The performance of the radiative transfer simulations is evaluated by comparing the simulations with the available coincident microwave observations up to 190ĝ€GHz (with observations from Tropical Rainfall Measuring Mission's (TRMM) Microwave Imager (TMI), Microwave Humidity Sounder (MHS) and Special Sensor Microwave Imager/Sounder (SSMI/S)) using the I‡2 test. Good agreement is obtained with all observations provided special care is taken to represent the scattering properties of the snow and graupel species.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Copernicus Publications  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Deep Convection  
dc.subject
Radiative Transfer  
dc.subject
Cloud Microphysics  
dc.subject
Microwave Remote Sensing  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Analysis and evaluation of WRF microphysical schemes for deep moist convection over south-eastern South America (SESA) using microwave satellite observations and radiative transfer simulations  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-18T14:15:01Z  
dc.journal.volume
10  
dc.journal.number
10  
dc.journal.pagination
3627-3649  
dc.journal.pais
Alemania  
dc.description.fil
Fil: Galligani, Victoria Sol. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Centro de Inv.del Mar y la Atmosfera; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina  
dc.description.fil
Fil: Wang, Die. Laboratoire D'etudes Du Rayonnement Et de la Matiere En Astrophysique Et Atmospheres; Francia  
dc.description.fil
Fil: Alvarez Imaz, María de Los Milagros. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Centro de Inv.del Mar y la Atmosfera; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina  
dc.description.fil
Fil: Salio, Paola Veronica. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Centro de Inv.del Mar y la Atmosfera; Argentina. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina  
dc.description.fil
Fil: Prigent, Catherine. Laboratoire D'etudes Du Rayonnement Et de la Matiere En Astrophysique Et Atmospheres; Francia  
dc.journal.title
Atmospheric Measurement Techniques  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5194/amt-10-3627-2017  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.atmos-meas-tech.net/10/3627/2017/