Evaluating wind profiles in a numerical weather prediction model with Doppler lidar

被引:3
|
作者
Pentikainen, Pyry [1 ]
O'Connor, Ewan J. [2 ,3 ]
Ortiz-Amezcua, Pablo [4 ,5 ]
机构
[1] Univ Helsinki, Inst Atmospher & Earth Syst Res Phys, Fac Sci, Helsinki, Finland
[2] Finnish Meteorol Inst, Helsinki, Finland
[3] Univ Reading, Dept Meteorol, Reading, England
[4] Univ Warsaw, Inst Geophys, Fac Phys, Warsaw, Poland
[5] Andalusian Inst Earth Syst Res, Granada, Spain
基金
芬兰科学院;
关键词
LOW-LEVEL JETS; BOUNDARY-LAYER; FORECAST VERIFICATION; AIR-POLLUTION; RADAR; METHODOLOGY; PERFORMANCE; ERRORS;
D O I
10.5194/gmd-16-2077-2023
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We use Doppler lidar wind profiles from six locations around the globe to evaluate the wind profile forecasts in the boundary layer generated by the operational global Integrated Forecast System (IFS) from the European Centre for Medium-range Weather Forecasts (ECMWF). The six locations selected cover a variety of surfaces with different characteristics (rural, marine, mountainous urban, and coastal urban).We first validated the Doppler lidar observations at four locations by comparison with co-located radiosonde profiles to ensure that the Doppler lidar observations were of sufficient quality. The two observation types agree well, with the mean absolute error (MAE) in wind speed almost always less than 1 m s(-1). Large deviations in the wind direction were usually only seen for low wind speeds and are due to the wind direction uncertainty increasing rapidly as the wind speed tends to zero.Time-height composites of the wind evaluation with 1 h resolution were generated, and evaluation of the model winds showed that the IFS model performs best over marine and coastal locations, where the mean absolute wind vector error was usually less than 3 m s(-1) at all heights within the boundary layer. Larger errors were seen in locations where the surface was more complex, especially in the wind direction. For example, in Granada, which is near a high mountain range, the IFS model failed to capture a commonly occurring mountain breeze, which is highly dependent on the sub-grid-size terrain features that are not resolved by the model. The uncertainty in the wind forecasts increased with forecast lead time, but no increase in the bias was seen.At one location, we conditionally performed the wind evaluation based on the presence or absence of a low-level jet diagnosed from the Doppler lidar observations. The model was able to reproduce the presence of the low-level jet, but the wind speed maximum was about 2 m s(-1) lower than observed. This is attributed to the effective vertical resolution of the model being too coarse to create the strong gradients in wind speed observed.Our results show that Doppler lidar is a suitable instrument for evaluating the boundary layer wind profiles in atmospheric models.
引用
收藏
页码:2077 / 2094
页数:18
相关论文
共 50 条
  • [1] Comparing the potential numerical weather prediction impacts of several Doppler wind lidar concepts
    Emmitt, GD
    [J]. SENSORS, SYSTEMS AND NEXT-GENERATION SATELLITES VII, 2004, 5234 : 116 - 122
  • [2] Measurement Performance Assessment of Future Space-Borne Doppler Wind Lidar for Numerical Weather Prediction
    Ishii, Shoken
    Okamoto, Kozo
    Baron, Philippe
    Kubota, Takuji
    Satoh, Yohei
    Sakaizawa, Daisuke
    Ishibashi, Toshiyuki
    Tanaka, Taichu Y.
    Yamashita, Koji
    Ochiai, Satoshi
    Gamo, Kyoka
    Yasui, Motoaki
    Oki, Riko
    Satoh, Masaki
    Iwasaki, Toshiki
    [J]. SOLA, 2016, 12 : 55 - 59
  • [3] Potential impact of space-based lidar wind profiles on weather prediction
    Atlas, R
    Emmitt, GD
    Terry, J
    Brin, E
    Ardizzone, J
    Jusem, JC
    Bungato, D
    [J]. LIDAR REMOTE SENSING FOR ENVIRONMENTAL MONITORING IV, 2003, 5154 : 74 - 78
  • [4] Impact of airborne Doppler wind lidar profiles on numerical simulations of a tropical cyclone
    Pu, Zhaoxia
    Zhang, Lei
    Emmitt, G. David
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2010, 37
  • [5] Doppler LiDAR Observation of Subsidence in Synoptic Scale and Performance of a Global Numerical Weather Prediction Model in Capturing the Subsidence
    Chan, Pak-Wai
    Yim, Steve Hung-Lam
    Huang, Tao
    Plusquellic, David F.
    [J]. ATMOSPHERE, 2023, 14 (11)
  • [6] Temporal Changes in Wind as Objects for Evaluating Mesoscale Numerical Weather Prediction
    Rife, Daran L.
    Davis, Christopher A.
    Knievel, Jason C.
    [J]. WEATHER AND FORECASTING, 2009, 24 (05) : 1374 - 1389
  • [7] Lidar data applications in numerical weather prediction
    Holm, EV
    [J]. 22ND INTERNATIONAL LASER RADAR CONFERENCE (ILRC 2004), VOLS 1 AND 2, 2004, 561 : 631 - 633
  • [8] Validation of wind profiles measured with incoherent Doppler lidar
    McGill, MJ
    Skinner, WR
    Irgang, TD
    [J]. APPLIED OPTICS, 1997, 36 (09): : 1928 - 1939
  • [9] C band Doppler weather radar wind profiles
    Andersson, T
    [J]. 28TH CONFERENCE ON RADAR METEOROLOGY, 1997, : 95 - 96
  • [10] Assessment of Probabilistic Wind Forecasts at 100 m Above Ground Level Using Doppler Lidar and Weather Radar Wind Profiles
    Hamalainen, Karoliina
    Saltikoff, Elena
    Hyvarinen, Otto
    Vakkari, Ville
    Niemela, Sami
    [J]. MONTHLY WEATHER REVIEW, 2020, 148 (03) : 1321 - 1334