In this paper we describe the implementation of a numerical weather forecast model on a massively parallel computer system. This model is a production code used for routine weather forecasting at the meteorological institutes of several European countries. The modi cations needed to achieve a data-parallel version of this model without explicit message passing are outlined. The achieved perform...

The ever-increasing demand for accuracy of weather forecasting and understanding of weather phenomena requires new weather observation methods. Earth observation in the microwave regions can provide important data on moisture and temperature distributions in the atmosphere, even within cloud formations where such observations are not achievable in the visible or infrared spectrum due to occlusion.

• short-term inclement weather forecasting (for hurricanes, etc.), • contaminant plume forecasting in both urban environments (for coordinating emergency response) and battlefield environments (for coordinating troop movements), • long-term ocean current forecasting (for El Niño, climate change, etc.), and • MHD/plasma forecasting (for sunspot cycles, over terms of years, in order to plan space...

Crop decision planning is an important part of effective farm management. Because of the many uncertain factors such as weather variations, technology advances, and crop yields and prices, all of which prove to change considerably, decision planning can be very complex. The focus of this paper is to develop accurate yield and price forecasting models to aid in decision planning. For yield forec...

The conventional irrigation systems tend to waste irrigation water by not considering the upcoming precipitation. The precipitation in India being erratic in nature calls for the use of efficient forecasting methods. This paper proposes a design of irrigation system that employs a weather forecasting algorithm to calculate the water requirement and control irrigation based on soil moisture for ...

Operational forecasting is hampered both by the rapid divergence of nearby initial conditions and by error in the underlying model. Interest in chaos has fuelled much work on the first of these two issues; this paper focuses on the second. A new approach to quantifying state-dependent model error, the local model drift, is derived and deployed both in examples and in operational numerical weath...

The National Weather Service’s Meteorological Development Laboratory is redeveloping the current LAMP system with special emphasis on aviation weather (Ghirardelli 2005). LAMP is an update system to the Model Output Statistics (MOS) and provides statistically derived guidance for the forecasting of sensible weather elements. The new LAMP system will run hourly producing one hour forecasts spann...

Accurate solar photovoltaic (PV) power forecasting is an essential tool for mitigating the negative effects caused by the uncertainty of PV output power in systems with high penetration levels of solar PV generation. Weather classification based modeling is an effective way to increase the accuracy of day-ahead short-term (DAST) solar PV power forecasting because PV output power is strongly dep...

Currently, the river forecasting system deployed in each of 13 River Forecast Centers of the National Weather Service primarily uses lumped parameter models to generate hydrologic simulations. With the deployment of the weather surveillance radar 1988 Doppler radars, more and more precipitation data with high spatial and temporal resolution have become available for hydrologic modeling. Hydrolo...

The accuracy of synoptic-based weather forecasting deteriorates rapidly after five days and is not routinely available beyond 10 days. Conversely, climate forecasts are generally not feasible for periods of less than 3 months, resulting in a weather-climate gap. The tropical atmospheric phenomenon known as the Madden-Julian Oscillation (MJO) has a return interval of 30 to 80 days that might par...