....................................................................................................................................... 8 Introduction ................................................................................................................................ 8 Weather Forecasts ....................................................................................................

Weather derivatives enable energy companies to protect themselves against weather risk. Weather ensemble predictions are generated from atmospheric models and consist of multiple future scenarios for a weather variable. They can be used to forecast the density of the payoff from a weather derivative. The mean of the density is the fair price of the derivative, and the distribution about the mea...

The goal of the Sensor Management for Applied Research Technologies (SMART) On-Demand Modeling project is to develop and demonstrate the readiness of the Open Geospatial Consortium Sensor Web Enablement capabilities to integrate both space-based Earth observations and forecast model output into new data acquisition and assimilation strategies. Working with NASA’s Short-term Prediction Research ...

A similar historical load data search technique, which took the sum of meteorological load and secular trend load as clustering center, was put forward. This method can improve the similarity of the loads between forecast day and sample days, and so as to improve the reliability and precision of load forecast. Manifold load forecast methods assembled by optimal weight were also applied. Technic...

The Atmospheric Infrared Sounder (AIRS) on the EOS Aqua Spacecraft was launched on May 4, 2002. Early in the mission, the AIRS instrument demonstrated its value to the weather forecasting community with better than 6 hours of improvement on the 5 day forecast. Now with over eight years of consistent and stable data from AIRS, scientists are able to examine processes governing weather and climat...

Decision support systems for weather forecasting have yet to tackle the key issues in formulating forecast policy, focussing instead on data presentation. Here we describe a method for eliciting forecasting information and outline a forecast ontology for codifying that information as a data management tool. The completed ontology will provide key ingredients for designing future decision suppor...

InSAR signal delays due to the varying atmospheric refractivity are a potential data source to improve weather models [1]. Especially with the launch of the new Sentinel-1 satellites, which increases data coverage, latency and accessibility, it may become possible to operationalize the assimilation of differential integrated refractivity (DIR) values in numerical weather models. Although studie...

MeteoAssert, a system developed at the Forecast System Laboratory, analyzes gridded data sets and produces descriptions, organized sets of assertions representing the content of weather messages. Each assertion conveys a single weather characteristic with a certain spatial and temporal scope. The assertions in a description are linked by discourse relations that predetermine the structure of th...

AFFILIATIONS: MCENERY—Water Resource Center, Texas Tech University, Lubbock, Texas; INGRAM—Office of Hydrologic Development, NOAA’s National Weather Service, Silver Spring, Maryland; DUAN— Lawrence Livermore National Laboratory, Livermore, California; ADAMS— Ohio River Forecast Center, NOAA’s National Weather Service, Wilmington, Ohio; ANDERSON—Office of Science and Technology, NOAA’s National ...