Version History for Ocean wave time-series data simulated with a global-scale numerical wave model under the influence of historical and projected CMIP6 wind and sea ice fields 

(formerly cited as) Ocean wave time-series data simulated with a global-scale numerical wave model under the influence of historical and projected CMIP6 wind and sea ice fields  

(now cited as) Ocean wave time-series data simulated with a global-scale numerical wave model under the influence of historical and projected CMIP6 wind and sea ice fields (ver. 2.0, October 2024)

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Version 1.0 posted online July 7, 2022
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Version 2.0 revised and reposted online October, 2024

Changes in version 2.0: 

(Existing datasets)

Ocean wave time-series data along the U.S. West Coast and surrounding Hawai’i simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields
1. Data was added for the historical CMIP6 time period (1979-2014)
2. Corrections were made to the metadata to fix the erroneous version description of EC-Earth projections (EC-Earth3P-HR_highres-future_r1i1p1f1_gr for wind was changed to EC-Earth3P-HR_highres-future_r1i1p2f1_gr, and EC-Earth3P-HR_highres-future_r1i1p2f1_gr was changed to and EC-Earth3P-HR_highres-future_r1i1p2f1_gn). In the previously released data files for the projection period, the global attribute description was also corrected to EC-Earth3P-HR_highres-future_r1i1p2f1_gn.
3. Variable datatypes were changed to be consistent throughout the datasets

Ocean wave time-series data along the Alaska coast simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields
1. Data was added for the historical CMIP6 time period (1979-2014)
2. Corrections were made to the metadata to fix the erroneous version description of EC-Earth projections (EC-Earth3P-HR_highres-future_r1i1p1f1_gr for wind was changed to EC-Earth3P-HR_highres-future_r1i1p2f1_gr, and EC-Earth3P-HR_highres-future_r1i1p2f1_gr was changed to and EC-Earth3P-HR_highres-future_r1i1p2f1_gn). In the previously released data files for the projection period, the global attribute description was also corrected to EC-Earth3P-HR_highres-future_r1i1p2f1_gn.
3. Variable datatypes were changed to be consistent throughout the datasets
4. Erroneous non-zero wave data in the data files for the projection period in the Arctic regions, at times when the Arctic Ocean is usually ice-covered and waves in this region are not expected, were fixed.

Ocean wave time-series data surrounding Hawai’i and U.S. territories in the Pacific Ocean simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields
1. Data was added for the historical CMIP6 time period (1979-2014)
2. Corrections were made to the metadata to fix the erroneous version description of EC-Earth projections (EC-Earth3P-HR_highres-future_r1i1p1f1_gr for wind was changed to EC-Earth3P-HR_highres-future_r1i1p2f1_gr, and EC-Earth3P-HR_highres-future_r1i1p2f1_gr was changed to and EC-Earth3P-HR_highres-future_r1i1p2f1_gn). In the previously released data files for the projection period, the global attribute description was also corrected to EC-Earth3P-HR_highres-future_r1i1p2f1_gn.
3. Variable datatypes were changed to be consistent throughout the datasets

Ocean wave time-series data along the U.S. Atlantic, Gulf of Mexico, and Puerto Rico coasts simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields 
1. Data was added for the historical CMIP6 time period (1979-2014)
2. Corrections were made to the metadata to fix the erroneous version description of EC-Earth projections (EC-Earth3P-HR_highres-future_r1i1p1f1_gr for wind was changed to EC-Earth3P-HR_highres-future_r1i1p2f1_gr, and EC-Earth3P-HR_highres-future_r1i1p2f1_gr was changed to and EC-Earth3P-HR_highres-future_r1i1p2f1_gn). In the previously released data files for the projection period, the global attribute description was also corrected to EC-Earth3P-HR_highres-future_r1i1p2f1_gn.
3. Variable datatypes were changed to be consistent throughout the datasets