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PyNDFD an open source Python module for retrieving real-time forecast data from the US National Weather Service. GRIB formatted data is cached and parsed to give the developer access to dozens of up-to-date weather forecast variables. Data is available for the next 7 days for any coordinate within the United States.
The project aims to create historical datasets that are spatially and temporally complete, so as to be of value at a local, or regional level, as well as on a global scale. ACRE aims to recover millions of historic weather observations. This data will be deposited into two databases, ISPD - the International Surface Pressure Databank,
OpenWeatherMap provides weather maps, weather alert services, and weather data. The length of the nowcast reaches 2 hours, the short-term forecast reaches 16 days, and the long-term forecast can reach up to 1 year. Historical weather data goes over 40 years.
Old Weather is a Zooniverse project and is a collaboration between researchers at many institutions, including the University of Oxford, Oxford Martin School, ACRE (International Atmospheric Circulation Reconstructions over the Earth), Naval-History.Net of Penarth, Jisc which encourages UK colleges and universities in the innovative use of digital technologies, the National Maritime Museum at ...
The United States National Climatic Data Center (NCDC), previously known as the National Weather Records Center (NWRC), in Asheville, North Carolina, was the world's largest active archive of weather data. In 2015, the NCDC merged with two other federal environmental records agencies to become the National Centers for Environmental Information ...
The initial version of Global Historical Climatology Network was developed in the summer of 1992. [3] This first version, known as Version 1 was a collaboration between research stations and data sets alike to the World Weather Records program and the World Monthly Surface Station Climatology from the National Center for Atmospheric Research. [4]
The longer history of the proxy is then used to reconstruct temperature from earlier periods. Proxy records must be averaged in some fashion if a global or hemispheric record is desired. The "Composite Plus Scaling" (CPS) method is widely used for large-scale multiproxy reconstructions of hemispheric or global average temperatures.
Typical meteorological year (TMY) is a collation of selected weather data for a specific location, listing hourly values of solar radiation and meteorological elements for a one-year period. The values are generated from a data bank much longer than a year in duration, at least 12 years.