Pregled bibliografske jedinice broj: 1283152
Analog-based post-processing of NWP in complex terrain: performance evaluation and challenges
Analog-based post-processing of NWP in complex terrain: performance evaluation and challenges // Book of Abstracts
St. Gallen, Švicarska, 2023. str. 1-1 (poster, recenziran, sažetak, znanstveni)
CROSBI ID: 1283152 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Analog-based post-processing of NWP in complex
terrain: performance evaluation and challenges
Autori
Odak Plenković, Iris ; Vujec, Ivan ; Kožul, Ena
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts
/ - , 2023, 1-1
Skup
36th International Conference on Alpine Meteorology
Mjesto i datum
St. Gallen, Švicarska, 19.06.2023. - 27.06.2023
Vrsta sudjelovanja
Poster
Vrsta recenzije
Recenziran
Ključne riječi
post-processing ; wind ; complex-terrain ; nwp
Sažetak
Analog-based statistical post-processing method (ABM) is proven effective for reducing the overall wind speed NWP error in Croatia, as well as for adequately assessing the forecast uncertainty. After several upgrades were recently made in the operational suite, the optimal NWP configuration to be used as an input to ABM is selected, the set of predictors is weighted and a correction for rare events is applied. These upgraded ABM forecasts are thoroughly evaluated, taking into consideration overall performance and the effect on rare event forecasts, especially in complex terrain prone to high wind speed (e.g., bora wind). Results show that wind direction is the most important predictor, in addition to wind speed. The additional predictor variables, properly weighted, improve results even further, especially in complex terrain. The error in general is larger in complex terrain prone to high-wind speed than in less complex continental areas, and the reduction of error by ABM is thus more pronounced. For the climatologically more common events, the improvement achieved with the ABM over the raw NWP is rather expected. The improvement, however, can also be achieved for rare events in some cases. This is especially the case after applying the statistical correction which enlarges the frequency of such forecasts. Since there are, of course, some limitations of the ABM method that one needs to be careful about, such an example is also shown.
Izvorni jezik
Engleski
Znanstvena područja
Geofizika
POVEZANOST RADA
Ustanove:
Državni hidrometeorološki zavod