Climate data for adaptation and vulnerability assessments — northwest

Climate data for adaptation and vulnerability assessments — northwest (ClimAVA-NW) provides bias-corrected, downscaled daily climatic data at ~4km spatial resolution from 17 CMIP6 GCMs, three different climatic variables (pr, tasmax, and tasmin), and three different shared socioeconomic pathways (SSP245, SSP370, and SSP585). Historical runs span from January 1, 1981, to December 31, 2014. Future scenarios span from January 1, 2015, to December 31, 2100. The ClimAVA-NW dataset encompasses the geopolitical boundaries of the five states in the northwestern United States: Idaho, Oregon, Wyoming, Montana, and Washington. Employing the Spatial Pattern Interactions Downscaling (SPID) method, ClimAVA ensures high-quality downscaling using machine learning models. These models capture the relationship between spatial patterns at Global Circulation Model (GCM) resolution and fine-resolution pixel values derived from the reference data (PRISM 4K). A random forest model is trained for each pixel, using the finer reference data as a predictand and nine pixels from the spatially resampled (coarser) version of the reference data as predictors. These models are then utilized to downscale the bias-corrected GCM data. Results from this method have proven to maintain climate realism and greatly represent extreme events.
 
Citation proposal
(2025) . Climate data for adaptation and vulnerability assessments — northwest. https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:5282855
 

INSPIRE

Identification

File identifier
wdc-climate.de:5282855   XML
Hierarchy level
collection collection
Online resource
Resource identifier
code
ClimAVA-NW
code
doi:10.26050/WDCC/ClimAVA-NW
Metadata language
eng; USA
Encoding
Format
NetCDF
Projection
 

Classification of data and services

 

Classification of data and services

Coupled resource
Coupled resource
 
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Keywords

Other keywords
Keywords
  • CMIP6
Keywords
  • Northwest United States
Keywords
  • downscale
Keywords
  • machine learning
 
 

Geographic coverage

N
S
E
W


 

Temporal reference

Temporal extent
Temporal extent
Date ( Publication )
2025-02-05
 

Quality and validity

 

Conformity

Conformity
Conformity
 

Conformity

Conformity
Conformity
 

Restrictions on access and use

 

Restrictions on access and use

 

Responsible organization (s)

Contact for the resource
Organisation name
Utah State University
 

Responsible organization (s)

Contact for the resource
Organisation name
Utah State University
 

Metadata information

Contact for the metadata
Organisation name
Utah State University
Date stamp
2025-01-16T11:29:49
Metadata language
eng; USA
 
 

SDS

Conformance class 1: invocable

Access Point URL
Endpoint URL
Technical specification
 

Conformance class 2: interoperable

Coordinate reference system
 
Quality of Service
 
Access constraints
Limitation
 
Use constraints
Limitation
 
Responsible custodian
Contact for the resource
 
 

Conformance class 3: harmonized

 
 

  Overviews

  Provided by

  Views

Read here the full details and access to the data.

  Associated resources

Not available


Barrierefreiheit | Datenschutz | Impressum