Assessing uncertainty in radar measurements on simplified meteorological scenarios
A three-dimensional radar simulator model (RSM) developed by Haase (1998) is coupled with the nonhydrostatic mesoscale weather forecast model Lokal-Modell (LM). The radar simulator is able to model reflectivity measurements by using the following meteorological fields, generated by Lokal Modell, as...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2006-01-01
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Series: | Advances in Geosciences |
Online Access: | http://www.adv-geosci.net/7/141/2006/adgeo-7-141-2006.pdf |
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author | L. Molini A. Parodi N. Rebora F. Siccardi |
author_facet | L. Molini A. Parodi N. Rebora F. Siccardi |
author_sort | L. Molini |
collection | DOAJ |
description | A three-dimensional radar simulator model (RSM) developed by Haase (1998) is coupled with the nonhydrostatic mesoscale weather forecast model Lokal-Modell (LM). The radar simulator is able to model reflectivity measurements by using the following meteorological fields, generated by Lokal Modell, as inputs: temperature, pressure, water vapour content, cloud water content, cloud ice content, rain sedimentation flux and snow sedimentation flux. This work focuses on the assessment of some uncertainty sources associated with radar measurements: </p><ol> <li>absorption by the atmospheric gases, e.g., molecular oxygen, water vapour, and nitrogen; </li> <li>attenuation due to the presence of a highly reflecting structure between the radar and a "target structure". </li> </ol> RSM results for a simplified meteorological scenario, consisting of a humid updraft on a flat surface and four cells placed around it, are presented. |
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institution | Directory Open Access Journal |
issn | 1680-7340 1680-7359 |
language | English |
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publishDate | 2006-01-01 |
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series | Advances in Geosciences |
spelling | doaj.art-4e35d8f8b65a468f9cafc3ac805f05c52022-12-21T17:12:51ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592006-01-017141146Assessing uncertainty in radar measurements on simplified meteorological scenariosL. MoliniA. ParodiN. ReboraF. SiccardiA three-dimensional radar simulator model (RSM) developed by Haase (1998) is coupled with the nonhydrostatic mesoscale weather forecast model Lokal-Modell (LM). The radar simulator is able to model reflectivity measurements by using the following meteorological fields, generated by Lokal Modell, as inputs: temperature, pressure, water vapour content, cloud water content, cloud ice content, rain sedimentation flux and snow sedimentation flux. This work focuses on the assessment of some uncertainty sources associated with radar measurements: </p><ol> <li>absorption by the atmospheric gases, e.g., molecular oxygen, water vapour, and nitrogen; </li> <li>attenuation due to the presence of a highly reflecting structure between the radar and a "target structure". </li> </ol> RSM results for a simplified meteorological scenario, consisting of a humid updraft on a flat surface and four cells placed around it, are presented.http://www.adv-geosci.net/7/141/2006/adgeo-7-141-2006.pdf |
spellingShingle | L. Molini A. Parodi N. Rebora F. Siccardi Assessing uncertainty in radar measurements on simplified meteorological scenarios Advances in Geosciences |
title | Assessing uncertainty in radar measurements on simplified meteorological scenarios |
title_full | Assessing uncertainty in radar measurements on simplified meteorological scenarios |
title_fullStr | Assessing uncertainty in radar measurements on simplified meteorological scenarios |
title_full_unstemmed | Assessing uncertainty in radar measurements on simplified meteorological scenarios |
title_short | Assessing uncertainty in radar measurements on simplified meteorological scenarios |
title_sort | assessing uncertainty in radar measurements on simplified meteorological scenarios |
url | http://www.adv-geosci.net/7/141/2006/adgeo-7-141-2006.pdf |
work_keys_str_mv | AT lmolini assessinguncertaintyinradarmeasurementsonsimplifiedmeteorologicalscenarios AT aparodi assessinguncertaintyinradarmeasurementsonsimplifiedmeteorologicalscenarios AT nrebora assessinguncertaintyinradarmeasurementsonsimplifiedmeteorologicalscenarios AT fsiccardi assessinguncertaintyinradarmeasurementsonsimplifiedmeteorologicalscenarios |