Jia, Yinglai; Chang, Ping; Szunyogh, Istvan; Saravanan, Ramalingam; Bacmeister, Julio T (2019): CAM5_SOM: high resolution CESM model run data [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.897395, Supplement to: Jia, Y et al. (2019): A Modeling Strategy for the Investigation of the Effect of Mesoscale SST Variability on Atmospheric Dynamics. Geophysical Research Letters, 46(7), 3982-3989, https://doi.org/10.1029/2019GL081960
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Abstract:
An efficient modeling strategy is proposed for the investigation of the effect of SST mesoscale variability on atmospheric dynamics. Two ensembles of numerical simulations are generated with a high-resolution atmospheric global circulation model coupled to a slab ocean model. This dataset contains data from the control and filtered ensembles which ran using the CESM at about 25km horizontal resolution over the globe. CAM5_SOM simulations are used to study the effect of mesoscale SST variability on atmospheric circulations. This dataset contains 25km model simulations from control and filtered ensemble run.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Jia, Yinglai | |||
| 2 | File name | File name | Jia, Yinglai | |||
| 3 | File format | File format | Jia, Yinglai | |||
| 4 | File size | File size | kByte | Jia, Yinglai | ||
| 5 | Uniform resource locator/link to file | URL file | Jia, Yinglai |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
20 data points
Data
| 1 Content | 2 File name | 3 File format | 4 File size [kByte] | 5 URL file |
|---|---|---|---|---|
| Data for figure 1 | Fig1_data | netCDF | 13869.383 | Fig1_data.nc |
| Data for figure 2 | Fig2_data | netCDF | 60192.417 | Fig2_data.nc |
| Data for figure 3 | Fig3_data | netCDF | 27686.495 | Fig3_data.nc |
| Data for figure 4 | Fig4_data | netCDF | 21545.349 | Fig4_data.nc |