WeatherNext addition.

PiperOrigin-RevId: 700116896

catalog/catalog.jsonnet

@@ -121,6 +121,7 @@ local self_url = base_url + base_filename;
     ee.link.child_catalog('YALE', base_url),
     ee.link.child_catalog('forestdatapartnership', base_url),
     ee.link.child_catalog('geoscience-aus-cat', base_url),
+    ee.link.child_catalog('gcp-public-data-weathernext', base_url),
     ee.link.child_catalog('neon-prod-earthengine', base_url),
     ee.link.child_catalog('ngis-cat', base_url),
     ee.link.child_catalog('planet-nicfi', base_url),

catalog/gcp-public-data-weathernext/catalog.jsonnet

@@ -0,0 +1,25 @@
+local id = 'gcp-public-data-weathernext';
+local ee_const = import 'earthengine_const.libsonnet';
+local ee = import 'earthengine.libsonnet';
+
+local basename = 'catalog';
+local base_filename = basename + '.json';
+local base_url = ee_const.catalog_base + 'gcp-public-data-weathernext/';
+local parent_url = ee_const.catalog_base + 'catalog.json';
+local self_url = base_url + base_filename;
+
+{
+  stac_version: ee_const.stac_version,
+  type: ee_const.stac_type.catalog,
+  id: id,
+  title: id,
+  description: |||
+    WeatherNext is a family of global weather forecasting AI models developed by Google DeepMind and Google Research.
+  |||,
+  links: [
+    ee.link.root(),
+    ee.link.parent(parent_url),
+    ee.link.self_link(self_url),
+    ee.link.child_collection('projects_gcp-public-data-weathernext_assets_59572747_4_0', base_url),
+  ],
+}