AlexHilson

import numpy as np
import iris

spherical_crs = iris.coord_systems.GeogCS(semi_major_axis=6367470)
ellipsoid_crs = iris.coord_systems.GeogCS(semi_major_axis=6378137.0, semi_minor_axis=6356752.314140356)
lambert_azimuthal_crs = iris.coord_systems.LambertAzimuthalEqualArea(
    latitude_of_projection_origin=54.9,
    longitude_of_projection_origin=-2.5,
    false_easting=0.0, false_northing=0.0,
    ellipsoid=ellipsoid_crs)

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'''
this was hacked together sorry if it doesn't work... let me know :)

gdal + iris are best installed with conda
gdal is used for a neat trick to read the grib array straight into memory
that's not strictly necessary - if you wrote the data to a temp file you
could probably use iris-grib instead.

If you're using this seriously set your chunk size with care. e.g. if you
create a big cube with, say, 1x1x2560x1920 chunks, then try to pull 1 point from 33 chunks

AlexHilson

{
  "version": "1.0",
  "response": {
    "outputSpeech": {
      "type": "SSML",
      "ssml": "<speak> <say-as interpret-as=\"interjection\">dun dun dun.</say-as> Check out the big brains over here. Are you ready to begin? </speak>"
    },
    "directives": [
      {
        "type": "Display.RenderTemplate",

AlexHilson

"response":{
   "outputSpeech":{
      "type":"PlainText",
      "text":"In Devon there is an amber weather warning for snow. The weather forecast for Exeter is cloudy and is highly likely to remain dry. There will be a high of 20 degrees Celcius and a low of 16. Would you like to hear more?"
   },
   "card":{
      "type":"Standard",
      "title":"Severe Weather Warnings for Devon",
      "text":"An amber weather warning for snow has been issued where  heavy snow is likely to affect many areas and bring severe disruption to travel.\n\nPlease see the Met Office website for further details.",
      "image":{

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