Batchvarova, Ekaterina

Gryning, Sven-Erik

Hahmann, Andrea N.

Mikkelsen, Torben

Pena Diaz, Alfredo

Online Research Database In Technology

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Downloaded from orbit.dtu.dk on: Dec 17, 2017Atmospheric boundary layer wind profile at a flat coastal site - wind speed lidarmeasurements and mesoscale modeling results during a summer periodBatchvarova, Ekaterina; Gryning, Sven-Erik; Hahmann, Andrea  N.; Pena Diaz, Alfredo; Mikkelsen,Torben KroghPublished in:ProceedingsPublication date:2010Document VersionPublisher's PDF, also known as Version of recordLink back to DTU OrbitCitation (APA):Batchvarova, E., Gryning, S-E., Hahmann, A. N., Pena Diaz, A., & Mikkelsen, T. (2010). Atmospheric boundarylayer wind profile at a flat coastal site - wind speed lidar measurements and mesoscale modeling results during asummer period. In Proceedings10th EMS, Zurich 13- 17 September 2010,  AW10NIMHAtmospheric Boundary Layer wind profile at a flat coastal site –wind speed lidar measurements and mesoscale modeling results during a summer periodTall Wind and VSABLA ProjectsE Batchvarova*, S.-E. Gryning, A Hahmann, A Peña, T MikkelsenRisø DTU, National Laboratory for Sustainable Energy, DenmarkPermanent affiliation: NIMH, National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, Bulgaria10th EMS, Zurich 13- 17 September 2010,  AW10NIMHThe problemThe wind profile above the surface layer up to 1 kilometer is presently a challenge for • meteorological forecasts • wind energy assessment studies • air pollution applications• Aviation• mesoscale models valiadation, etcas high resolution (in time and space) measurements wererarely available until recently. Additional complexity is related with coastal areas!10th EMS, Zurich 13- 17 September 2010,  AW10NIMHOutline• Case studies using wind profiler data • Climatology of the vertical profiles of wind and turbulence – long range wind lidar data with high resolution in space and time in coastal area• First results and future work10th EMS, Zurich 13- 17 September 2010,  AW10NIMHCase studies using wind profiler dataThe mesoscale meteorological models have difficulties to predict the profiles, due to complex phenomena taking place in nature that are not accounted for in the ABL parameterizations currently used.Worldwide an effort is going on to emphasize the important role of boundary layer research in various direct applications, such as wind energy, air pollution, aviation and in weather forecast models. A profile evaluation study started recently within COST728, Using windprofiler data in time and frequency domain for theevaluation of meteorological drivers employed in chemistry transportModelling (ISTP09 -International Symposium on Tropospheric Profiling, 19-23/10/2009, Delft, RIVM, KNMI, TU-Delft)M. Quante, V. Matthias, S.-E. Gryning, E. Batchvarova, A. Aulinger, C. Chemel, G. Geertsema, B. Geyer, H. Jakobs, A. Kerschbaumer, M. Prank, R. San José, H. Schlünzen, J. Struzewska, B. Szintai, R. Wolke10th EMS, Zurich 13- 17 September 2010,  AW10NIMHCWINDE Profiler data (Myles Turp), UKMO vs MM5, 54 km grid resolution; full nudgingLocation:Camborne, UK wind profiler-35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35U [ms-1]00.040.080.12PDF-35 -30 -25 -20 -15 -10 -5 0 5 10 15 20 25 30 35U [ms-1]00.040.080.12PDFU, 910 myear 2000U, 490 myear 2000wind profilermodel0 200 400 600 800 1000 1200 1400 1600time [hrs.]-20-1001020U [ms-1]wind profilermodel, nudgingmean:  2.93 ms-1   std dev:  7.99 ms-1  (obs.)mean:  3.59 ms-1   std dev:  7.91 ms-1  (MM5)910 m, days 100 to 169 of the year 2000Case studies using wind profiler data10th EMS, Zurich 13- 17 September 2010,  AW10NIMHCase studies using wind profiler dataWind velocity at Lindenberg at about 500 m asl, 24.02.2003 to 11.03.2003, Wind profiler data and seven models0510152025Wind Velocity [ms-1]PBL profilerEURADFUBGKSS_MM5GKSS_CosmoCLMIFTMeteoSwiss_aUH_WRF0 50 100 150 200 250 300 350 400hours after 24/03/2003 0 UTC1x10-31x10-21x10-11x1001x1011x1021x1031x104S(f) UUPBL profilerEURADFUBGKSS_MM5GKSS_CosmoCLMIFTMeteoSwiss_aUH_WRF1000 100 10 1Period  [hrs.]systematic deviations – phase / amplitude in time seriesHigh resolution of models (< 5km) needed to capture intraday fluctuations – power spectra10th EMS, Zurich 13- 17 September 2010,  AW10NIMHCase studies using wind profiler dataLindenberg, at specific hour0 4 8 12 16 20wind velocity [m/s]0200040006000height [m] PBL-profilerTROP-profilerRadiosonde 00UTCEURADFMIFUBGKSS_MM5GKSS_CosmoCLMIFTMeteoSwiss_aUPM_MM5UPM_WRFWUTLindenberg 27.02.2003  00 UTCObservations (a, b)COSMO-CLM (c, d)UPM-WRF (e. f)Meteo Swiss- COSMO (g. h)Wind  direction         Wind velocity10th EMS, Zurich 13- 17 September 2010,  AW10NIMHBulk statistics at Lindenberg, 24.02.2003 to 11.03.2003; hourly dataWind speed hit rate Wind speed hit rateAverage wind speed Wind speed correlation coeficientaaaaaa aaaa10th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of the vertical profiles of wind and turbulenceAt coastal areas as Høvsøre, the ABL is characterised by complex verticalstructure and diurnal variability.The analysis of measurements requires to distinquish marine and land flows.The mesoscale models used need to berun on high resolution  (1-2 km) to achieve correct representations of coastalline and ABL structure. At Risoe a verison of WRF is run onforecast mode  Test centres for large-scale wind turbines and related meteorologyAt Høvsøre for 10 years now• wind turbine manufacturers can test the multi-megawatt wind turbines of the future• scientists can test new instrumnets and gather long term profile measurements of meteorological parameters, both mean values and turbulence - on masts (up to 160 m) - with sodars and lidars (up to 300; 1000 m; …)NIMHClimatology of the vertical profiles of wind and turbulence10th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of wind The long range wind lidar (WSL70) at Høvsøre, the West coast of Jutland, Denmark, 2 km inland, started measurements in April 2010Simultaneously, the height of the atmospheric boundarylayer is estimated from aerosol lidars backscatter analysis10th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windWind Lidar vs cup and sonicComparaison of  wind speed (U) measuredby long-range lidar (100-2000 m, 50m resolution), cup anemometer and sonic,  excluding North sektor (> 30 deg and < 330 deg)10th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of wind31 July 2010 (JD 211)Horizontal wind speed19 August 2010 (JD 230)Horizontal wind speedProfiles of Horizontal wind speed10th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windWind direction  and wind speed for 31 July and 19 August 2010at 100 mRed WC_70BlackVane/Cupaaaaaaaa10th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windCNR, 31 July 2010 (JD 211) CNR, 19 August 2010 (JD 230)CNR, the Carrier to Noise Ratio indicates measurement quality and is calculated from raw spectra. CNR is equivalent to signal to noise ratioAvailability of data with regards to meteorological conditions10th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windAerosol lidars operating simmultaneously give information on clouds and ABL depth31 July 2010 19 August 201010th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windThe effect of CNR value on lidar/cup comparison -3010th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windThe effect of CNR value on lidar/cup comparison -2510th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windThe effect of CNR value on lidar/cup comparison -2010th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windThe effect of CNR value on lidar/cup comparison -1510th EMS, Zurich 13- 17 September 2010,  AW10NIMHClimatology of vertical profiles of windWind direction at 100 mLidar / VaneWind speed at 100 mLidar / Cup24 June 2010 (JD 174) analysis with CNR -2010th EMS, Zurich 13- 17 September 2010,  AW10NIMHAerosol lidar CL31, WC_70 CNR, WC_70 Horizontal wind speedaaaaaaaLeft –resolutionFor max 25 m/s,Right –60 m/sClimatology of vertical profiles of wind10th EMS, Zurich 13- 17 September 2010,  AW10NIMHFirst results and future work1) During the summer  of 2010 Høvsøre was unique place in Europe with lidar measurements within the entire ABL.2) The comparisons of long range wind lidar data with cup and sonic anemometer at 100 m on the nearby standing mast show very good agreement. This makes possible to use the data with confidence for hier levels, given the CNR ratio is appriate.3)The analysis showed that cloudy conditions were prevailing and accordingly the hight reached by the wind lidar was reduced, compared to clear skys.4) WRF is run on forecast mode for Denmark with high resolution (2 Km) at Risoe. Comparisons will be made after further check of availability of wind lidar data.10th EMS, Zurich 13- 17 September 2010,  AW10NIMHACKNOWLEDGEMENTThe study is supported by:the Danish Council for Strategic Research, Sagsnr. 2104-08-0025 and the EU FP7 Marie Curie Fellowship VSABLA (PIEF-GA-2009-237471)Thank youfor yourattention!

Atmospheric boundary layer wind profile at a flat coastal site - wind speed lidar measurements and mesoscale modeling results during a summer period

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Atmospheric boundary layer wind profile at a flat coastal site - wind speed lidar measurements and mesoscale modeling results during a summer period

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