Scholarly record
EVALUATION OF MESO-METEOROLOGICAL MODEL SIMULATIONS OF EXTREME WIND EVENT AT COASTAL REGION
Abstract
Remote sensing measurements of the Atmospheric Boundary Layer (ABL) were performed with a monostatic Doppler sodar system during the period August 2008 - October 2016 near the Black Sea coastal town of Ahtopol. These high resolution data (10 m in vertical direction and 10 min in time) were used in the framework of the project REPLICA to obtain a reference extreme wind speed profile following the criteria for "rare" events of the Intergovernmental Panel on Climate Change (IPCC). Based on the defined reference profile, cases with extreme winds were identified for the whole period of measurements. The performance of the Weather Research and Forecasting (WRF) model was evaluated against the sodar data for several cases of extreme wind speed events. Example of simulations using four different physical parameterization schemes of ABL for the period 17-18 Sep 2016 is discussed in this paper. Taylor diagrams and basic statistical indicators such as correlation coefficient, standard deviation of model error, standard deviation and bias are used for the model evaluation. The results show for all parametrization schemes that the model simulates the wind direction better than the horizontal wind speed. The worst results are obtained for the vertical wind speed component.
Publication Impact Profile
Publication details
References12
IPCC, 2001, "Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change," No. 0521 01495 6, Cambridge University Press, UK and New York, NY, USA,.
IPCC, 2012, "Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change," Cambridge University Press, UK and New York, NY, USA.
Sathe, A., Courtney, M., Mann, J., and R, W., 2011 "How good are remote sensors at measuring extreme winds? ," EWEA ConferenceBrussels, Belgium.
Pérez, I. A., Sánchez, M. L., Garcı́a, M. A., and de Torre, B., "Comparison between measurements obtained with a meteorological mast and a RASS sodar.," Proc. 3rd International Conferences on Experiences with Automatic Weather Stations.
Cimini, D., Haeffelin, M., Kotthaus, S., Löhnert, U., Martinet, P., O’Connor, E., Walden, C., Coen, M. C., and Preissler, J., 2020, "Towards the profiling of the atmospheric boundary layer at European scale—introducing the COST Action PROBE," Bulletin of Atmospheric Science and Technology, 1(1), pp. 23-42.
Illingworth, A., Ruffieux, D., Cimini, D., Lohnert, U., Haeffelin, M., and Lehmann, V., 2013, "COST Action ES0702 Final Report: European Ground-Based Observations of Essential Variables for Climate and Operational Meteorology," COST Office, PUB1062.
Illingworth, A., Ruffieux, D., Haeffelin, M., O'Connor, E., Cimini, D., and Potthast, R., 2017, "COST Action Final Achievement Report ES1303: Towards operational ground based profiling with ceilometers, doppler lidars and microwave radiometers for improving weather forecasts (TOPROF)," COST Association AISBL, Brussels, Belgium.
ScintecAG, 2011, Scintec Flat Array Sodars - Hardware Manual (SFAS, MFAS, XFAS) including RASS RAE1 and windRASS, Scintec AG, Germany.
Barantiev, D., Batchvarova, E., Kirova, H., and Gueorguiev, O., "PBL Vertical Structure During Extreme Wind Events at Seaside Region of Southern Bulgaria," Proc. of 1st International conference on Environmental protection and disaster RISKs, G. Gadzhev, and N. Dobrinkova, eds., Az-buki National Publishing House, pp. 480-490.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda, M. G., Huang, X.-Y., Wang, W., and Powers, J. G., 2008, "A Description of the Advanced Research WRF Version 3," Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA.
Berens, P., 2009, "CircStat: A MATLAB Toolbox for Circular Statistics," Journal of Statistical Software, 31(10), p. 21.
Jammalamadaka, S. R., and SenGupta, A., 2001, Topics in Circular Statistics, World Scientific Publishing Co. Pte. Ltd, Singapore.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.


