A walk-through of how to use the API key

1. Log in to the web site and run a process
   • Click on the Login link on the top right corner of the screen
   • Log in
   • Make a note of your API key, you will need this later
   • Go to the Products page
   • Select the Plume plot of time series anomaly from probabilistic UK climate projections product
   • Fill in the form and then Submit it
2. On the job viewer page copy the URL
   • When the process has finished go to the Job Details tab
   • Use the embedded copy button to copy the Job Request URL
3. Modify the inputs as required
   • Initially just keep them the same
   • Later you could try changing the TimeSlice to 2000|2030 or the TimePeriod to jun
4. Test in the browser
   • Paste the URL into a browser
   • You should get an XML response telling you the job has run
   • The XML includes details of the job as well as links to the outputs generated

Using the API directly from code

							import urllib2

api_key = "<YOUR_API_KEY>"

months = ["jan", "feb", "mar", "apr", "may", "jun", "jul", "aug", "sep", "oct",
          "nov", "dec"]

url_template = ("https://ukclimateprojections-ui.metoffice.gov.uk/wps/Execute?"
"Request=Execute&"
"Identifier=LS1_Plume_01&Format=text/xml&Inform=true&Store=false&"
"Status=false&DataInputs=Area=point|245333.38|778933.24;Baseline=b8100;"
"Collection=land-prob;ColourMode=c;DataFormat=csv;FontSize=m;"
"ImageFormat=png;ImageSize=1200;LegendPosition=7;PlotType=PDF_PLOT;"
"Scenario=sres-a1b;TemporalAverage={month};TimeSlice=2050-2069;"
"TimeSliceDuration=20y;Variable=tasAnom;"
"&ApiKey={api_key}")

for month in months:
    url = url_template.format(month=month,api_key=api_key)
    response = urllib2.urlopen(url)
    xml_doc = response.read()