Climate data for adaptation and vulnerability assessments — southwest

Climate data for adaptation and vulnerability assessments — southwest (ClimAVA-SW) 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-SW dataset encompasses the geopolitical boundaries of the six states in the southwestern United States: California, Nevada, Arizona, New Mexico, Utah, and Colorado, as well as watersheds that run into these states. 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
(2024) . Climate data for adaptation and vulnerability assessments — southwest. https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:5280925
 

Simple

Date ( Publication )
2024-07-26
Edition
1
Identifier
ClimAVA-SW
Identifier
doi:10.26050/WDCC/ClimAVA-SW

  Principal investigator

Contact instructions
Email: andre.moraes@usu.edu
Website
https://www.usu.edu/  

  Author

Contact instructions
Email: andre.moraes@usu.edu
Website
https://www.usu.edu/  

  Author

Contact instructions
Email: sajad.khoshnoodmotlagh@usu.edu
Website
https://www.usu.edu/  

  Publisher

  Point of contact

Website
https://www.usu.edu/  
Name
NetCDF
Keywords
  • CMIP6
Keywords
  • Southwest United States
Keywords
  • downscale
Keywords
  • machine learning
Use limitation
CC BY 4.0: Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Metadata language
eng; USA
N
S
E
W


Supplemental Information
info:eu-repo/grantAgreement/UAES//UTA01726/US//UAES grants
Distribution format
  • NetCDF ()

Transfer size
605115
OnLine resource
https://www.wdc-climate.de/ui/entry?acronym=ClimAVA-SW  
Hierarchy level
collection collection

Completeness commission

Name of measure
n/a
Measure description
None

Non quantitative attribute accuracy

Name of measure
n/a
Measure description
None

gmd:MD_Metadata

File identifier
wdc-climate.de:5280925   XML
Metadata language
eng; USA
Hierarchy level
collection collection
Hierarchy level name
ClimAVA-SW
Date stamp
2024-07-17T11:24:11
Metadata standard name
ISO 19115
Metadata standard version
ISO 19115-2:2009

  Point of contact

Website
https://www.usu.edu/  
 
 

  Overviews

  Provided by

  Views

Read here the full details and access to the data.

  Associated resources

Not available