VAC 1.6 Науки о Земле и окружающей среде
UDK 551.515 Погода. Атмосферные образования и возмущения
UDK 551.509.313 Использование методов динамической метеорологии в прогнозе. Численный прогноз погоды
UDK 55 Геология. Геологические и геофизические науки
UDK 550.34 Сейсмология
UDK 550.383 Главное магнитное поле Земли
GRNTI 37.01 Общие вопросы геофизики
GRNTI 37.15 Геомагнетизм и высокие слои атмосферы
GRNTI 37.25 Океанология
GRNTI 37.31 Физика Земли
GRNTI 38.01 Общие вопросы геологии
GRNTI 36.00 ГЕОДЕЗИЯ. КАРТОГРАФИЯ
GRNTI 37.00 ГЕОФИЗИКА
GRNTI 38.00 ГЕОЛОГИЯ
GRNTI 39.00 ГЕОГРАФИЯ
GRNTI 52.00 ГОРНОЕ ДЕЛО
OKSO 05.00.00 Науки о Земле
BBK 26 Науки о Земле
TBK 63 Науки о Земле. Экология
BISAC SCI SCIENCE
Experimental short-term numerical weather prediction system based on the Weather Research and Forecasting (WRF) model with grid spacing of 1 km for the city of Khabarovsk, Russia is presented. Single-layer urban canopy parametrization is used in the model runs and takes into consideration urban land use. Urban land surface consists of three types: low-rise, high-rise buildings and industrial zones. Niceties of forecasts’ interpretation in a large city based on data of a high-resolution numerical grid are considered. Simulations of the WRF model with the grid spacing of 1 km have shown better quality of prediction in the city than forecasts on the grid spacing of 5 km for the period of time from June to December of 2023. Mean absolute errors of the forecasting speed and direction of surface wind with a velocity above 10 m/s are 2.9 m/s and 3.2 m/s, and 14∘ and 32∘ and absolute error of the forecasting air temperature is 1.6∘ and 3.1∘ for the WRF model with the grid spacing of 1 and 5 km respectively for the considered period of time.
numerical weather prediction, mesoscale process, heavy rainfall, strong wind, land use, WRF-ARW, Khabarovsk
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