World Library  

QR link for Investigating the Sensitivity of High-resolution Mesoscale Models to Microphysical Parameters by the Use of Polarimetric Radar Observations : Volume 10, Issue 8 (27/08/2010)
Add to Book Shelf
Flag as Inappropriate
Email this Book

Investigating the Sensitivity of High-resolution Mesoscale Models to Microphysical Parameters by the Use of Polarimetric Radar Observations : Volume 10, Issue 8 (27/08/2010)

By Ferretti, R.

Click here to view

Book Id: WPLBN0003987531
Format Type: PDF Article :
File Size: Pages 54
Reproduction Date: 2015

Title: Investigating the Sensitivity of High-resolution Mesoscale Models to Microphysical Parameters by the Use of Polarimetric Radar Observations : Volume 10, Issue 8 (27/08/2010)  
Author: Ferretti, R.
Volume: Vol. 10, Issue 8
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2010
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Marzano, F. S., Molini, L., Sanctis, K. D., Parodi, A., Ferretti, R., Montopoli, M., & Siccardi, F. (2010). Investigating the Sensitivity of High-resolution Mesoscale Models to Microphysical Parameters by the Use of Polarimetric Radar Observations : Volume 10, Issue 8 (27/08/2010). Retrieved from http://community.ebooklibrary.org/


Description
Description: CETEMPS – Department of Physics, University of L'Aquila, L'Aquila, Italy. An improved methodology for investigating mesoscale model microphysics is presented and discussed for a case study. Polarimetric radar data are used to assess numerical weather prediction (NWP) model's skill in reproducing the microphysical features of severe rainfall. To this aim, an event of deep convection, developed on 20 May 2003 in the Po Valley (Italy), is analyzed. During the selected case study, two weather radars, sited in Gattatico and San Pietro Capofiume (near Bologna, Italy), detected a deep-convective and hail cell with a large inner graupel core which reached the ground, as was reported by local weather authorities and citizens. A hydrometeor classification algorithm, based on a Bayesian approach and a radar simulator model, are used to retrieve the vertical structure of the storm and characterize its ground effects. These products are used for evaluating the sensitivity of NWP models with respect to the graupel density, described in terms of the intercept parameter of the graupel size distribution and its depositional velocity. To this purpose two mesoscale NWP models, specifically COSMO-LAMI and MM5-V3, are used at high spatial resolution. Their ability in reproducing the vertical and the horizontal structure and the microphysical distribution of the major convective cell is evaluated. Both models show large sensitivity to different microphysical settings and a capability to reproduce fairly well the observed hail cell. Ground-radar reflectivity fields and the hydrometeor vertical structure are correctly simulated by both NWP models as opposed to a failure in reproducing the graupel distribution near the ground.

Summary
Investigating the sensitivity of high-resolution mesoscale models to microphysical parameters by the use of polarimetric radar observations

Excerpt
Alberoni, P. P., Andersson, T., Mezzasalma, P., Michelson, D. B., and Nanni, S.: Use of the vertical reflectivity profile for identification of anomalous propagation, Meteorol. Appl., 8, 257–266, 2001.; Bernardo, J. M. and Smith, A. F. M.: Bayesian Theory, John Wiley & Sons Ltd, New York 608 pp., 1994.; Blossey, P. N., Bretherton, C. S., Cetrone, J., and Khairoutdinov, M.: Cloud-resolving model simulations of KWAJEX: Model sensitivities and comparisons with satellite and radar observations, J. Atmos. Sci., 64, 1488–1508, 2007.; De Sanctis, K.: Mesoscale meteorological modeling at high-spatial resolution: Microphysical sensitivity and polarimetric radar analysis, PhD Thesis at University of Basilicata, 2008.; Doms, G. and Schättler, U.: The Nonhydrostatic Limited-Area Model LM of DWD: Part I. Scientific Documentation, DWD, Offenbach, Germany 172 pp., 1999.; Dudhia, J.: A nonhydrostatic version of the Penn State-NCAR mesoscale model: validation tests and simulation of an Atlantic cyclone and cold front, Mon. Weather Rev., 129, 1493–1513, 1993.; Cheng, L., English, M., and Wong, R.: Hailstone size distributions and their relationship to storm thermodynamics, J. Appl. Meteorol., 24, 1059–1067, 1985.; Cohen, C., and McCaul, E. W.: The sensitivity of simulated convective storms to variations in prescribed single-moment microphysics parameters that describe particle distributions, sizes, and numbers, Mon. Weather Rev., 134, 2547–2565, 2006.; Cotton, W. R., Stephens, M. A., Nehrkorn, T., and Tripoli, G. J.: Colorado State University three-dimensional cloud/mesoscale model – 1982, Part 2, An ice phase parameterization, J. Rech. Atmos., 16, 295–320, 1982.; Droegemeier, K. K., Smith, J. D.,Businger, S., Doswell III, C., Doyle, J., Duffy, C., Foufoula-Georgiou, E., Graziano, T., James, L. D., Krajewski, V., LeMone, M.,Lettenmaier, D., Mass, C., Pielke Sr., R., Ray, P., Rutledge, S., Schaake, J., and Zipserp, E.: Hydrological aspects of weather prediction and flood warnings: Report of the ninth prospectus development team of the US Weather Research Program, B. Am. Meteorol. Soc., 81, 2665–2680, 2000.; Ferrier, B. S., Tao, W.-K., and Simpson, J.: A double-moment multiple phase four-class bulk ice scheme, Part II: Simulations of convective storms in different large-scale environments and comparisons with other bulk parameterizations, J. Atmos. Sci., 52, 1001–1033, 1995.; Garvert, M. F., Woods, C. P., Colle, B. A., Mass, C. F., Hobbs, P. V., Stoelinga, M. T., and Wolfe, J. B.: The 13–14 December 2001 IMPROVE-2 event, Part II: Comparison of MM5 model simulations of clouds and precipitation with observations, J. Atmos. Sci., 62, 3520–3534, 2005.; Gilmore, M. S., Straka, J. M., and Rasmussen, E. N.: Precipitation uncertainty due to variations in precipitation particle parameters within a simple microphysics scheme, Mon. Weather Rev., 132, 2610–2627, 2004.; Grell, G., Dudhia, S., Stauffer, D. R.: A description of the fifth generation of Penn State/NCAR mesoscale model (MM5). NCAR/TN-398+STR, Natl. Cent. For Atmos. Res., Boulder, Colorado, 1994.; Haase, G. and Crewell, S.: Simulation of radar reflectivities using a mesoscale weather forecast model, Water Resour. Res., 36, 2221–2230, 2001.; Hong, S.-Y. and Pan, H.-L.: Nonlocal boundary layer vertical diffusion in medium-range forecast model

 

Click To View

Additional Books


  • Analysis of the Frequency-dependent Resp... (by )
  • Tecnical Note: Analysis of Non-regulated... (by )
  • Analysis of Global and Regional Co Burde... (by )
  • Use of a Global Model to Understand Spec... (by )
  • A Statistical-numerical Aerosol Paramete... (by )
  • Bulk Microphysical Properties of Semi Tr... (by )
  • Estimating the Maritime Component of Aer... (by )
  • Annual Cycle of Ozone at and Above the T... (by )
  • Ozone Profile Retrievals from the Ozone ... (by )
  • A Case Study of Aerosol Depletion in a B... (by )
  • Distribution and Origin of Ozone in the ... (by )
  • Evaluation of Clams, Kasima and Echam5/M... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.