US Migrating
type: Agent

ArcGIS Hub Dataset
type: Distribution
access URL: https://gis.data.cnra.ca.gov/content/CAnature::single-climate-model-30-year-rolling-average-precipitation
format: HTML
issued: 2022-08-08T13:16:35.725946
modified: 2025-11-21T14:31:38.586183

ArcGIS GeoService
type: Distribution
access URL: https://tiledimageservices8.arcgis.com/JFYbogndXme7ddg8/arcgis/rest/services/CA_Precipitation_Moving_Avg_mm_1950_2099/ImageServer
media type: application/octet-stream
format: ArcGIS GeoServices REST API
issued: 2022-08-08T13:16:35.725952
modified: 2025-11-21T14:31:38.586610

Single Climate Model, 30-year Rolling Average Precipitation
type: Dataset
contact point: Organization
  fn: CA_Nature
keyword: 30x30
keyword: north-america
keyword: caopendata
keyword: projection
keyword: geoss
keyword: cal-adapt
keyword: amerigeoss
keyword: united-states
keyword: climate
keyword: geo
keyword: amerigeo
keyword: national
keyword: ckan
keyword: california-natural-resources-agency
keyword: precipitation
keyword: ca-nature
theme: {"Natural Resources"}
description: This dataset contains a 30-year rolling average of annual average precipitation from the four models and two greenhouse gas (RCP) scenarios included in the four model ensemble for the years 1950-2099. The year identified is the mid-point of the 30-year average. eg. The year 2050 includes the values from 2036 to 2065. The downscaling and selection of models for inclusion in ten and four model ensembles is described in Pierce et al. 2018, but summarized here. Thirty two global climate models (GCMs) were identified to meet the modeling requirements. From those, ten that closely simulate California’s climate were selected for additional analysis (Table 1, Pierce et al. 2018) and to form a ten model ensemble. From the ten model ensemble, four models, forming a four model ensemble, were identified to provide coverage of the range of potential climate outcomes in California. The models in the four model ensemble and their general climate projection for California are: HadGEM2-ES (warm/dry), CanESM2 (average), CNRM-CM5 (cooler/wetter), and MIROC5 the model least like the others to improve coverage of the range of outcomes. These data were downloaded from Cal-Adapt and prepared for use within CA Nature by California Natural Resource Agency and ESRI staff. Cal-Adapt. (2018). LOCA Derived Data [GeoTIFF]. Data derived from LOCA Downscaled CMIP5 Climate Projections. Cal-Adapt website developed by University of California at Berkeley’s Geospatial Innovation Facility under contract with the California Energy Commission. Retrieved from https://cal-adapt.org/ Pierce, D. W., J. F. Kalansky, and D. R. Cayan, (Scripps Institution of Oceanography). 2018. Climate, Drought, and Sea Level Rise Scenarios for the Fourth California Climate Assessment. California’s Fourth Climate Change Assessment, California Energy Commission. Publication Number: CNRA-CEC-2018-006.
issued: 2021-09-13T19:03:12+00:00
modified: 2022-04-04T18:36:08+00:00