Sentence examples for forecast database from inspiring English sources

Exact(4)

Development of a High-Resolution Weather Forecast Database for Digital Agricultural Research and Outreach Applications: Principal investigators: Arthur DeGaetano, CALS; Madeleine Udell, CoE.

Development of a High-Resolution Weather Forecast Database for Digital Agriculture and Outreach Applications will examine more efficient ways of collecting and storing large amounts of data from weather sensor networks.

QFEs and QFFs were generated by a high-resolution hydrologic model (250 × 250 m2) with coupled surface subsurface physics and rainfall forcing from the Next Generation Multi-sensor QPE (Q2) spatial rainfall (1 × 1 km2) product, and from National Digital Forecast Database (NDFD) operational QPF product (5 × 5 km2).

These are auto-generated forecasts from the Digital Forecast Database for cities with long-term weather stations and are usually sited at airports.

Similar(56)

Contains consensus economic & financial forecast databases from FocusEconomics for 67 countries.

The new forecast databases have already been useful for U.S. researchers and for international trainings.

The Historical Forecasts database has 2 years of historical and 6 years of forecasted data for cpi, gdp and current account going back to the 1990s.

The shifted resources will be used to build websites, convene groups of stakeholders, and possibly create new forecasts, databases, and other tools.

The data analysed here derive from the Swedish subset of the EU 7th Framework Registered Nurse Forecasting (RN4CAST) database.

Mary MacLeod, chief executive of the Family and Parenting Institute, said: "Our research with parents suggests they will have great anxiety about the proposals". The universal database, forecast to cost £41m a year to run, has prompted controversy since the government set out its legal underpinning in the 2004 Children Act.

Upon analyzing various forecasts in a large database, using various models, forecast samples and accuracy measures, we demonstrate that experts' knowledge, on average, apparently is not associated with variables which are systematically omitted from the statistical models.

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