A persistent wintertime fog episode at Lisbon airport (Portugal): performance of ECMWF and AROME models

被引:18
作者
Belo-Pereira, Margarida [1 ]
Santos, J. A. [2 ]
机构
[1] Inst Portugues Mar & Atmosfera, Lisbon, Portugal
[2] Univ Tras Os Montes & Alto Douro, CITAB, UTAD, Ctr Res & Technol Agroenvironm & Biol Sci, Vila Real, Portugal
关键词
fog forecast; fog stability index; MSG; AROME; ECMWF; Lisbon airport; Portugal; RADIATION-FOG; NUMERICAL-MODEL; CENTRAL VALLEY; PREDICTION; CALIFORNIA; CLOUDS; VISIBILITY; MESOSCALE; STRATUS; TEMPERATURE;
D O I
10.1002/met.1560
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The 7-8 January 2015 persistent fog episode at Lisbon international airport is analysed. Its persistence was atypical of the local climate (second longest episode since 2004) and caused significant air traffic disruptions. Furthermore, the performance of two operational models (European Centre for Medium-range Weather Forecasts (ECMWF) and Applications of Research to Operations at Mesoscale (AROME)) used at the Portuguese Weather Service is assessed not only for the selected fog episode, but also for the extended winters (November to March) of 2013/2014 and 2014/2015. This episode developed under the following conditions: (1) the occurrence of a strong and persistent midwinter anticyclone over Iberia, driving favourable conditions for the formation of radiation fog; (2) a short interruption of the anticyclonic circulation by a kata-cold front on the day before, favouring the development of fog/low stratus clouds, which persisted until dawn on 7 January over the Tagus valley; (3) low-tropospheric easterly/northeasterly winds, favouring the drift of fog patches from the Tagus towards Lisbon. At the nearest grid point to Lisbon airport, both ECMWF and AROME were able to capture fog occurrence, but were unable to predict its persistence throughout the episode. Moreover, both models overestimated the 2 m temperature and dew point depression. Low cloud cover and horizontal visibility from ECMWF revealed higher skill in fog prediction than that derived from AROME. Nonetheless, a modified version of the Fog Stability Index based on AROME was proven to be a more skilful fog predictor, also outperforming other predictors based on ECMWF. These conclusions are also supported by an objective verification over a two-winter period.
引用
收藏
页码:353 / 370
页数:18
相关论文
共 57 条
[1]  
[Anonymous], WMO B
[2]   Improved site-specific numerical prediction of fog and low clouds: A feasibility study [J].
Bergot, T ;
Carrer, D ;
Noilhan, J ;
Bougeault, P .
WEATHER AND FORECASTING, 2005, 20 (04) :627-646
[3]  
BERGOT T, 1994, MON WEATHER REV, V122, P1218, DOI 10.1175/1520-0493(1994)122<1218:NFORFP>2.0.CO
[4]  
2
[5]   Intercomparison of single-column numerical models for the prediction of radiation fog [J].
Bergot, Thierry ;
Terradellas, Enric ;
Cuxart, Joan ;
Mira, Antoni ;
Liechti, Olivier ;
Mueller, Mathias ;
Nielsen, Niels Woetmann .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2007, 46 (04) :504-521
[6]   Effect of small-scale surface heterogeneities and buildings on radiation fog: Large-eddy simulation study at Paris-Charles de Gaulle airport [J].
Bergot, Thierry ;
Escobar, Juan ;
Masson, Valery .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2015, 141 (686) :285-298
[7]  
Burgess Cdr CR, 1949, WEATHER, V4, P319
[8]   A turbulence scheme allowing for mesoscale and large-eddy simulations [J].
Cuxart, J ;
Bougeault, P ;
Redelsperger, JL .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2000, 126 (562) :1-30
[9]   The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system [J].
Donlon, Craig J. ;
Martin, Matthew ;
Stark, John ;
Roberts-Jones, Jonah ;
Fiedler, Emma ;
Wimmer, Werenfrid .
REMOTE SENSING OF ENVIRONMENT, 2012, 116 :140-158
[10]  
DOSWELL CA, 1990, WEATHER FORECAST, V5, P576, DOI 10.1175/1520-0434(1990)005<0576:OSMOSI>2.0.CO