Initialization of WRF Model Simulations With Sentinel-1 Wind Speed for Severe Weather Events

نویسندگان

چکیده

The model initialization with high-resolution SAR wind data provided by the Sentinel-1 mission and its impact on meteorological WRF-ARW simulations is discussed. activity performed within Horizon 2020 CEASELESS project, focusing one of target areas, northern Adriatic Sea (northern-central Mediterranean). ingested into LAPS, a numerical system developed at NOAA, specifically designed for analysis nowcasting issues, since it has advantage being faster less computational demanding than advanced assimilation methods. Here, LAPS analyses are used to perform smarter using simply global fields. evaluated twenty cases, ranging through several atmospheric conditions occurring in different seasons years 2014–2018. For each case study, reference simulation forced GFS forecasts as initial boundary conditions, respectively. Additional runs initialized analyses, which include information wind, METAR SEVIRI/MSG (Eumetsat) brightness temperature. A statistical evaluation versus an independent set surface records, Friuli Venezia Giulia regional station network (northeastern Italy), data. comparison 10 m 2 air dew point results show positive, albeit modest, WRF analyses. benefits all variables. Finally, Mediterranean tropical-like cyclone (Medicane), occurred Ionian November 2017, considered order how use Sentinel can contribute better severe weather episodes Mediterranean. improvement pressure minimum location remarkable.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hybrid Wind Speed Prediction Based on a Self-Adaptive ARIMAX Model with an Exogenous WRF Simulation

Wind speed forecasting is difficult not only because of the influence of atmospheric dynamics but also for the impossibility of providing an accurate prediction with traditional statistical forecasting models that work by discovering an inner relationship within historical records. This paper develops a self-adaptive (SA) auto-regressive integrated moving average with exogenous variables (ARIMA...

متن کامل

Mesoscale Numerical Weather Prediction with the WRF Model

Through a collaborative partnership, principally among NCAR, NOAA, DoD, OU/CAPS, FAA, and universities, the U.S. modeling community is developing a next-generation mesoscale model, known as the Weather Research and Forecasting (WRF) model. The goals of the WRF project are to develop an advanced mesoscale forecast and data assimilation system and to accelerate research advances into operations. ...

متن کامل

Modelling and forecasting wind speed intensity for weather risk management

The modelling of wind speed is a traditional topic in meteorological research, where the main interest is on the short-term forecast of wind speed intensity and direction. More recently, this theme has received some interest in the quantitative finance literature for its relationship with electricity production by wind farms. In fact, electricity producers are interested in long-range forecasts...

متن کامل

WRF-Fire: Coupled Weather–Wildland Fire Modeling with the Weather Research and Forecasting Model

A wildland fire-behavior module, named WRF-Fire, was integrated into the Weather Research and Forecasting (WRF) public domain numerical weather prediction model. The fire module is a surface firebehavior model that is two-way coupled with the atmospheric model. Near-surface winds from the atmosphericmodel are interpolated to a finer fire grid and are used, with fuel properties and local terrain...

متن کامل

Dealing with uncertainty: an analysis of the severe weather events

Forecast verification is a long-standing issue of the whole meteorologists’ community. A common definition of a truly satisfying prediction skill has not been achieved so far. Even the definition of “event”, due to its spatio-temporal discontinuity, is highly affected by uncertainty. Moreover, decision-making demands numerical weather prediction modellers to provide information about the “inner...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Frontiers in Marine Science

سال: 2021

ISSN: ['2296-7745']

DOI: https://doi.org/10.3389/fmars.2021.573489