Mesoscale models, with grid resolution higher than synoptic and global models, and with advanced physical parameterizations, have been an important tool for meteorological research over the past twenty years. The research applications of mesoscale models, mostly through case studies or model sensitivity experiments in the 1980s, provided us with important physical insights into mesoscale weathe...

Accurate prediction of monsoon heavy rainfall events in the equatorial region has always been a challenge to weather forecasters. In this paper, forecast of a severe precipitation event that occurred over the eastern central coast of Peninsular Malaysia was attempted using the state-of-the-art Florida State University (FSU) Global and Regional Spectral Models. The sensitivity of parameterized c...

Surface solar radiation forecasting permits to predict photovoltaic plant production for a massive and safe integration of solar energy into the electric network. For short-term forecasts (intra-day), methods using images from meteorological geostationary satellites are more suitable than numerical weather prediction models. Forecast schemes consist in assessing cloud motion vectors and in extr...

Dynamic numerical weather prediction models have been designed to deal with large-scale, highly predictable midlatitude atmospheric patterns. However, the capability of these models to simulate thermodynamically driven warm-season rainfall events, such as afternoon airmass thunderstorm formation in subtropical summers, is highly limited. Current methods of addressing this issue have included en...

Accurate weather forecasts benefit society in crucial functions, including agriculture, transportation, recreation, and basic human and infrastructural safety. Over the past two decades, ensembles of numerical weather prediction models have been developed, in which multiple estimates of the current state of the atmosphere are used to generate probabilistic forecasts for future weather events. H...

Continental low stratiform clouds cover the sky about 23% of the time during the fall, winter, and spring months and play a significant role in the Earth’ radiation budget. Information about cloud structure and variability is crucial in determining areal averages of cloud radiative and microphysical properties such as over numerical weather prediction (NWP) or Global Climate Model grid cells. N...

The Japan Meteorological Agency (JMA) upgraded the resolution of the Global Spectral Model (GSM) from TL319L40 to TL959L60 on 21 November 2007, when the Typhoon Model retired from operational use. Since then, tropical cyclone (TC) track and intensity forecasts have been supported by GSM only. GSM provides numerical weather prediction (NWP) products four times a day for all TCs existing globally...

A major challenge for operational numerical weather prediction over the Antarctic and Southern Ocean is the lack of traditional meteorological observations. This increases uncertainty in the model initial condition and results in inferior forecast skills as compared with numerical weather prediction in mid-latitudes over the Northern Hemisphere. With the lack of traditional observations over th...

In this paper we describe the design and implementation of a system called the Network Weather Service (NWS) that takes periodic measurements of deliverable resource performance from distributed networked resources, and uses numerical models to dynamically generate forecasts of future performance levels. These performance forecasts, along with measures of performance uctuation (e.g. the mean sq...