This repository contains resources used to support Weather API and WeatherNext AIAPP-107 demo session (location: AI App-Verse) at the Google Cloud NEXT'25.

This repository contains Google Earth Engine scripts and Google BigQuery Notebooks demonstraing WeatherNext Graph and Gen weather forecasts. See https://deepmind.google/technologies/weathernext/ for more information about these models and datasets.

var t = ee.Date('2023-09-08')

var images = ee.ImageCollection('projects/gcp-public-data-weathernext/assets/59572747_4_0')
  .filterDate(t, t.advance(6, 'hours'))
  .filter(ee.Filter.gt('forecast_hour', 0))

scripts/render-weathernext-graph.js or open the script in the EE Code Editor

scripts/render-weathernext-gen.js or open the script in the EE Code Editor

notebooks/weathernext-bigquery-simple.ipynb

Temperature for New York

SELECT
    t2.time AS time,
    t2.`2m_temperature` as `2m_temperature`
  FROM
    `gcp-public-data-weathernext.WeatherNext.59572747_4_0` AS t1, t1.forecast AS t2
  WHERE ST_INTERSECTS(t1.geography_polygon, ST_GEOGFROMTEXT('POLYGON((-70.66 40.64, -73.85 40.64, -73.85 40.89, -70.66 40.89, -70.66 40.64))'))  # New York City
   AND t1.init_time = TIMESTAMP('2024-10-17 00:00:00 UTC')
  ORDER BY t2.time

Precipitation for Chicago

Temperature and Wind Velocity for London

Map showing temperature distribution for Colorado for a single forecast time