Icing Conditions Forecasting: Using WRF Model And MSG To Predict Dangerous Flight Conditions

2018 ◽  
Author(s):  
Pedro Bolgiani ◽  
Sergio Fernández González
Keyword(s):  
Wrf Model

scholarly journals Downscaling of seasonal ensemble forecasts to the convection‐permitting scale over the Horn of Africa using the WRF model

2020 ◽  
Author(s):  
Paolo Mori ◽  
Thomas Schwitalla ◽  
Markos Budusa Ware ◽  
Kirsten Warrach‐Sagi ◽  
Volker Wulfmeyer
Keyword(s):  
Wrf Model ◽  
Horn Of Africa ◽  
Ensemble Forecasts

Random-forest based adjusting method for wind forecast of WRF model

2021 ◽  
pp. 104842
Author(s):  
Anxi Wang ◽  
Libing Xu ◽  
Yi Li ◽  
Jianyong Xing ◽  
Xingrong Chen ◽  
...  
Keyword(s):  
Random Forest ◽  
Wrf Model

scholarly journals A sensitivity study of the WRF model in offshore wind modeling over the Baltic Sea

2021 ◽  
pp. 101229
Author(s):  
Huidong Li ◽  
Björn Claremar ◽  
Lichuan Wu ◽  
Christoffer Hallgren ◽  
Heiner Körnich ◽  
...  
Keyword(s):  
Baltic Sea ◽  
Wrf Model ◽  
Sensitivity Study ◽  
Offshore Wind ◽  
The Baltic Sea ◽  
Wind Modeling ◽  
The Baltic

scholarly journals Assimilating X- and S-Band Radar Data for a Heavy Precipitation Event in Italy

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1727
Author(s):  
Valerio Capecchi ◽  
Andrea Antonini ◽  
Riccardo Benedetti ◽  
Luca Fibbi ◽  
Samantha Melani ◽  
...  
Keyword(s):  
Extreme Event ◽  
Wrf Model ◽  
Heavy Precipitation ◽  
Radar Data ◽  
Flash Floods ◽  
Precipitation Event ◽  
Weather Research And Forecasting ◽  
Limited Area ◽  
Heavy Precipitation Event ◽  
The Town

During the night between 9 and 10 September 2017, multiple flash floods associated with a heavy-precipitation event affected the town of Livorno, located in Tuscany, Italy. Accumulated precipitation exceeding 200 mm in two hours was recorded. This rainfall intensity is associated with a return period of higher than 200 years. As a consequence, all the largest streams of the Livorno municipality flooded several areas of the town. We used the limited-area weather research and forecasting (WRF) model, in a convection-permitting setup, to reconstruct the extreme event leading to the flash floods. We evaluated possible forecasting improvements emerging from the assimilation of local ground stations and X- and S-band radar data into the WRF, using the configuration operational at the meteorological center of Tuscany region (LaMMA) at the time of the event. Simulations were verified against weather station observations, through an innovative method aimed at disentangling the positioning and intensity errors of precipitation forecasts. A more accurate description of the low-level flows and a better assessment of the atmospheric water vapor field showed how the assimilation of radar data can improve quantitative precipitation forecasts.

Short term wind energy resource prediction using WRF model for a location in western part of Turkey

2021 ◽  
Vol 13 (1) ◽  
pp. 013303
Author(s):  
Elcin Tan ◽  
S. Sibel Mentes ◽  
Emel Unal ◽  
Yurdanur Unal ◽  
Bahtiyar Efe ◽  
...  
Keyword(s):  
Wind Energy ◽  
Energy Resource ◽  
Wrf Model ◽  
Short Term ◽  
Resource Prediction
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