Simulation of W‐band radar reflectivity for model validation and data assimilation. (25th January 2018)
- Record Type:
- Journal Article
- Title:
- Simulation of W‐band radar reflectivity for model validation and data assimilation. (25th January 2018)
- Main Title:
- Simulation of W‐band radar reflectivity for model validation and data assimilation
- Authors:
- Borderies, M.
Caumont, O.
Augros, C.
Bresson, É.
Delanoë, J.
Ducrocq, V.
Fourrié, N.
Bastard, T. Le
Nuret, M. - Abstract:
- Abstract : This article describes a reflectivity forward operator developed for the validation and assimilation of W‐band radar data into the regional AROME class of numerical weather prediction models. The forward operator is consistent with the AROME ICE3 one‐moment microphysical scheme and is devised for vertically pointing radars. A new neighbourhood validation method, the Most Resembling Column (MRC) method, is designed to disentangle spatial location model errors from errors in the forward operator. This novel method is used to validate the forward operator using data collected in diverse conditions by the airborne cloud radar RASTA (Radar Airborne System Tool for Atmosphere) during a 2 month period over a region of the Mediterranean. The MRC method is then applied to retrieve the optimal effective shapes (i.e. the mean axis ratios) of the predicted graupel, snow and pristine ice, by minimizing the standard deviation between observations and simulations. The optimal mean axis ratio is approximately 0.7 for snow and 0.8 for graupel. It is shown that treating snow and graupel particles as oblate spheroids with axis ratios close to their optimal values leads to good agreement between the observations and simulations of the ice levels. Conversely, there is a large bias if snow and graupel particles are considered to be either spherical or overly flattened. The results also indicate that pristine ice can be approximated by a sphere, but this conclusion should be takenAbstract : This article describes a reflectivity forward operator developed for the validation and assimilation of W‐band radar data into the regional AROME class of numerical weather prediction models. The forward operator is consistent with the AROME ICE3 one‐moment microphysical scheme and is devised for vertically pointing radars. A new neighbourhood validation method, the Most Resembling Column (MRC) method, is designed to disentangle spatial location model errors from errors in the forward operator. This novel method is used to validate the forward operator using data collected in diverse conditions by the airborne cloud radar RASTA (Radar Airborne System Tool for Atmosphere) during a 2 month period over a region of the Mediterranean. The MRC method is then applied to retrieve the optimal effective shapes (i.e. the mean axis ratios) of the predicted graupel, snow and pristine ice, by minimizing the standard deviation between observations and simulations. The optimal mean axis ratio is approximately 0.7 for snow and 0.8 for graupel. It is shown that treating snow and graupel particles as oblate spheroids with axis ratios close to their optimal values leads to good agreement between the observations and simulations of the ice levels. Conversely, there is a large bias if snow and graupel particles are considered to be either spherical or overly flattened. The results also indicate that pristine ice can be approximated by a sphere, but this conclusion should be taken cautiously since the amount of pristine ice particles is probably overestimated in the ICE3 microphysical scheme. Abstract : A reflectivity forward operator, designed for vertically pointing W‐band radars, is developed for regional NWP models. To validate the forward operator, the Most Resembling Column (MRC) method, is conceived to disentangle model spatial mismatches from errors in the forward operator. Each observed vertical profile is compared with the most resembling simulated profile. The MRC method is then applied during the HyMeX SOP1 to retrieve the optimal effective shapes of the predicted snow, graupel and pristine ice. … (more)
- Is Part Of:
- Quarterly journal of the Royal Meteorological Society. Volume 144:Number 711(2018)
- Journal:
- Quarterly journal of the Royal Meteorological Society
- Issue:
- Volume 144:Number 711(2018)
- Issue Display:
- Volume 144, Issue 711 (2018)
- Year:
- 2018
- Volume:
- 144
- Issue:
- 711
- Issue Sort Value:
- 2018-0144-0711-0000
- Page Start:
- 391
- Page End:
- 403
- Publication Date:
- 2018-01-25
- Subjects:
- cloud radar -- forward operator -- HyMeX -- mesoscale convective simulations
Meteorology -- Periodicals
551.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1477-870X/issues ↗
http://onlinelibrary.wiley.com/ ↗
http://www.ingentaselect.com/rpsv/cw/rms/00359009/contp1.htm ↗ - DOI:
- 10.1002/qj.3210 ↗
- Languages:
- English
- ISSNs:
- 0035-9009
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7186.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11928.xml