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Archive
by Caumont, O., Foray, A., Besson, L. and Parent du Châtelet, J.
Abstract:
Weather radar refractivity depends on low-level moisture, temperature, and pressure and is available at high space–time resolutions over large areas. It is of definite meteorological interest for assimilation, verification, and process-study purposes. In this study, the path-averaged refractivity change is simulated from the Arome cloud-resolving atmospheric system analyses and compared with corresponding radar observations over a 35-day period with various meteorological conditions. For that, a novel post-processing procedure is applied to radar data to improve its quality. Also, an observation operator is developed that ingests Arome analyses and simulates a 3-h path-averaged refractivity change. A sensitivity study shows that simulated path-averaged refractivity change is immune to the modelling of the beam height as long as it remains below approximately 60 m above the ground. Comparisons show overall consistency between observed and simulated path-averaged refractivity change, with discrepancies at times that suggest an improvement in analyses once radar refractivity change observations are assimilated. Finally, errors introduced when retrieving local refractivity from path-averaged refractivity are estimated and it is found for our dataset that such retrievals halve the range of usable observations.
Reference:
Caumont, O., Foray, A., Besson, L. and Parent du Châtelet, J., 2013: An observation operator for radar refractivity change: comparison of observations and convective-scale simulationsBoundary-Layer Meteorology, 148, 379-397.
Bibtex Entry:
@Article{Caumont2013,
  Title                    = {An observation operator for radar refractivity change: comparison of observations and convective-scale simulations},
  Author                   = {Caumont, O. and Foray, A. and Besson, L. and Parent du Châtelet, J.},
  Journal                  = {Boundary-Layer Meteorology},
  Year                     = {2013},

  Month                    = {August},
  Number                   = {2},
  Pages                    = {379-397},
  Volume                   = {148},

  Abstract                 = {Weather radar refractivity depends on low-level moisture, temperature, and pressure and is available at high space–time resolutions over large areas. It is of definite meteorological interest for assimilation, verification, and process-study purposes. In this study, the path-averaged refractivity change is simulated from the Arome cloud-resolving atmospheric system analyses and compared with corresponding radar observations over a 35-day period with various meteorological conditions. For that, a novel post-processing procedure is applied to radar data to improve its quality. Also, an observation operator is developed that ingests Arome analyses and simulates a 3-h path-averaged refractivity change. A sensitivity study shows that simulated path-averaged refractivity change is immune to the modelling of the beam height as long as it remains below approximately 60 m above the ground. Comparisons show overall consistency between observed and simulated path-averaged refractivity change, with discrepancies at times that suggest an improvement in analyses once radar refractivity change observations are assimilated. Finally, errors introduced when retrieving local refractivity from path-averaged refractivity are estimated and it is found for our dataset that such retrievals halve the range of usable observations.},
  Copublication            = {4: 4 Fr},
  Doi                      = {10.1007/s10546-013-9820-3},
  ISSN                     = {1573-1472},
  Keywords                 = {AROME atmospheric system; Observation operator; Refractivity; Weather radar},
  Language                 = {English},
  Owner                    = {hymexw},
  Publisher                = {Springer Netherlands + Business Media},
  Timestamp                = {2015.10.05},
  Url                      = {http://dx.doi.org/10.1007/s10546-013-9820-3}
}