Bronze level automatically awarded US beta
This data has achieved Bronze level on 22 October 2015 which means this data makes a great start at the basics of publishing open data.
Monthly Weather Observations (Form 1001) is a set of historical manuscript records for the period 1893-1948. In order to fill in the observation gap prior to the time when commercial aviation began in the U.S., NCDC Climate Data Modernization Program (CDMP) retrieved surface observations taken two to four times daily beginning as early as 1893 at the City Weather Bureau Offices. Through 1936 observations were taken twice daily; then in 1937 the general practice was to record four observations per day. The data elements are as follows: station pressure, sea level pressure, dry and wet bulb temperature, dew point, maximum and minimum temperature, wind direction and speed, precipitation, cloud amount and type, ceiling, state of weather and visibility. It should be noted that not all elements are present for all stations in this dataset, and that ceiling and visibility observations did not begin at the city offices until the 1930's. Official surface weather observation standards can be found in the Circular N manuals.
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National Oceanic and Atmospheric Administration, Department of Commerce Do you think this data is incorrect? Let us know
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Creative Commons CCZero Do you think this data is incorrect? Let us know
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
Creative Commons CCZero Do you think this data is incorrect? Let us know
no data about individuals Do you think this data is incorrect? Let us know
http://catalog.data.gov/organization/noaa-gov Do you think this data is incorrect? Let us know
no Do you think this data is incorrect? Let us know
backed up offsite Do you think this data is incorrect? Let us know
http://catalog.data.gov/api/rest/package/surface-weather-observations-daily Do you think this data is incorrect? Let us know
a standard open format Do you think this data is incorrect? Let us know
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