Simple time series data for weather prediction time series projects.
The data contains the following information from the UK Met Office location at London Heathrow Airport. The data runs from Jan 1948 to Oct 2020 and includes the following monthly data fields:
Provided by the UK Met Office: https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data Available under Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
The following Python code will load into a Pandas DataFrame:
colspecs = [(3, 7), (9,11),(14,18),(22,26),(32,34),(37,42),(45,50)]
data = pd.read_fwf('../input/heathrow-weather-data/heathrowdata.txt',colspecs=colspecs)
The following will remove the first few lines of text
data = data[3:].reset_index(drop=True)
data.columns = data.iloc[1]
data = data[3:].reset_index(drop=True)
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset contains estimates of mortality and number of hospital admissions that can be attributed to temperature, from observations and climate projections, and includes some of the underlying climate data. The data are divided into the subdirectories ‘epi_model’, ‘HadUKgrid’, ‘London’, ‘regimes’, and ‘UKCP18’ as follows:
epi_model: - Model fits of exposure-response relationships
HadUKgrid: - Temperature-attributable mortality/hospital admission time series for the observed record (1981/1991-2018) - List of the 10 highest mortality days from 1991 to 2018 based on UK-total temperature-related mortality
London: - Average daily temperature by London boroughs simulated with an urban model, October 2015 to 2019 - Attributable hospital admission by London boroughs based on the above temperature time series
regimes: - Weather regime and pattern classification for the observed record (1850/1979-2019)
UKCP18: - Attributable mortality time series for UKCP18 climate projections (1900-2099)
Further details including file contents and methods can be found in the README.txt files for each dataset. This dataset was produced for the UK Climate Resilience Programme - Addressing the resilience needs of the UK health sector: climate service pilots.
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Simple time series data for weather prediction time series projects.
The data contains the following information from the UK Met Office location at London Heathrow Airport. The data runs from Jan 1948 to Oct 2020 and includes the following monthly data fields:
Provided by the UK Met Office: https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data Available under Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
The following Python code will load into a Pandas DataFrame:
colspecs = [(3, 7), (9,11),(14,18),(22,26),(32,34),(37,42),(45,50)]
data = pd.read_fwf('../input/heathrow-weather-data/heathrowdata.txt',colspecs=colspecs)
The following will remove the first few lines of text
data = data[3:].reset_index(drop=True)
data.columns = data.iloc[1]
data = data[3:].reset_index(drop=True)