Dataset Open Access
Coarse-grained Near-global Aqua-planet Simulation with Computed Dynamical Tendencies
Brenowitz, Noah
This dataset includes the coarse-grained 3D state of the near-global CRM simulations (NG-Aqua). The simulation is run at a 4km resolution using the System for Atmospheric Modeling (SAM)
A dataset derived from the same simulation is included at the 10.5281/zenodo.1226370. This current posting supplements this dataset with the dynamical tendencies for total water and liquid-ice potential temperature, respectively given by FQT and FSLI. These are computed by initializing SAM run at a 160km resolution with the coarse-grained fields from NG-Aqua; evolving the state forward for 10 30 second time steps; saving the output; and finally computing the difference with the initial condition.
| Name | Size | |
|---|---|---|
|
training.nc
md5:00930ec776592908875490e28766866d |
17.4 GB | Download |
| All versions | This version | |
|---|---|---|
| Views | 176 | 133 |
| Downloads | 14 | 14 |
| Data volume | 244.0 GB | 244.0 GB |
| Unique views | 157 | 121 |
| Unique downloads | 12 | 12 |
- Publication date:
- April 2, 2019
- DOI:
-
- Keyword(s):
- cloud resolving model machine learning atmospheric science
- Related identifiers:
- Cites
- License (for files):
- Creative Commons Attribution 4.0 International