I want to get historical weather data (Winter 2014) of temperature, humidity, air-pressure, wind_speed, wind direction, rain in specific latitude/longitude.
Is there any API that I can use to get these informations.
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Please take at a look at answers here opendata.stackexchange.com/a/1620/1511 and here opendata.stackexchange.com/q/2009/1511. I personally recommend the Wunderground API - gist.github.com/philshem/… – philshem♦ Dec 30 '14 at 7:50
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1Thanks! @philshem can u write it as an answer to post it as a valid one. – user3001937 Dec 30 '14 at 14:53
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Depending on your needs, existing city level data might satisfy. In spatial statistics there is a concept of "given observations at certain locations, weather stations for example, estimate the weather at other locations (such as a grid that can be used for contour plots). That is called "change of support" and is a very useful data manipulation tool. – respectPotentialEnergy Jan 2 '15 at 13:49
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Check also this answer here for how to use Google BigQuery to get this data: opendata.stackexchange.com/a/7583/11083 – Praxiteles Apr 20 '16 at 23:00
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For international and historical data, and for a modest number of requests per day, I personally recommend the Wunderground API. Once you register, you can get 500 free requests per day.
The URL for historical data will look like this:
http://api.wunderground.com/api/Your_Key/history_YYYYMMDD/q/CA/San_Francisco.json
I've posted a sample code (python 2.7) that you can use (and improve!) - LINK. I would run this code every day, just changing the year (currently it's set for 2013). The output of the code is a CSV file, but you can store the JSON and/or parse as needed.
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1This endpoint gives you the closest city to a latitude/longitude - wunderground.com/weather/api/d/docs?d=data/geolookup – philshem♦ Jan 1 '15 at 18:11
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Anyone know how to use the API to get the weather at a specific historical time? – Guillochon Jan 2 '17 at 1:31
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I have written some sample code for directly building a CSV starting with a given date and ending with a given date: https://github.com/joshmalina/pollution/blob/master/notebooks/Build_historical_weather_data.ipynb
The city is currently set to Beijing, but you can change that easily. The data will also be cleaned of null values.
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For Canada, you can download historical data by city in bulk csv or xml files from Environment & Climate Change Canada.
The example provided here uses wget to download all available hourly data for Yellowknife A, from 1998 to 2008, in .csv format
for year in `seq 1998 2008`;
do for month in `seq 1 12`;
do wget --content-disposition "http://climate.weather.gc.ca/climate_data/bulk_data_e.html?format=csv&stationID=1706&Year=${year}&Month=${month}&Day=14&timeframe=1&submit= Download+Data" ;
done;
done
WHERE;
• year = change values in command line (seq 1998 2008)
• month = change values in command line (seq 1 12)
• format= [csv|xml]: the format output
• timeframe = 1: for hourly data
• timeframe = 2: for daily data
• timeframe = 3 for monthly data
• Day: the value of the "day" variable is not used and can be an arbitrary value
• For another station, change the value of the variable stationID
• For the data in XML format, change the value of the variable format to xml in the URL.
You can grab a list of stations from this csv or search for a station
