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.
de Lima Moraes, Andre Geraldo; Khoshnood Motlagh, Sajad (2024). Climate data for adaptation and vulnerability assessments — southwest. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/ClimAVA-SW
Utah Agricultural Experiment Station, Utah State University Grant/Award No: UTA01726 - UAES grants
Accuracy report
While every effort has been made to ensure the accuracy and completeness of the data, no guarantee is given that the information provided is error-fre...
Description
While every effort has been made to ensure the accuracy and completeness of the data, no guarantee is given that the information provided is error-free or that the dataset will be suitable for any particular purpose. Users are advised to use this dataset cautiously and to independently verify the data before making any decisions based on it. The creators of this dataset make no warranties, express or implied, regarding the dataset's accuracy, reliability, or fitness for a particular purpose. In no event shall the creators be liable for any damages, including but not limited to direct, indirect, incidental, special, or consequential damages arising from the use or inability to use the dataset. Users of this dataset are encouraged to properly cite the dataset in any publications or works that make use of the data. By using this dataset, you agree to these terms and conditions.
Completeness report
Climava-SW is temporally and spatially complete. Historical runs span from January 1, 1981, to December 31, 2014. Future scenarios span from January 1...
Description
Climava-SW is temporally and spatially complete. Historical runs span from January 1, 1981, to December 31, 2014. Future scenarios span from January 1, 2015, to December 31, 2100. All years have 365 days (leap years are not included). 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.
FAIR
F-UJI result: total 66 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 5 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2024-07-26
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The spatial coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1