https://github.com/gmaze/pirate
Probabilistic InteRpretation of Altimeter & in-siTu obsErvations
https://github.com/gmaze/pirate
chaos dynamic gcm in-situ observation occiput ocean
Last synced: about 2 months ago
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Probabilistic InteRpretation of Altimeter & in-siTu obsErvations
- Host: GitHub
- URL: https://github.com/gmaze/pirate
- Owner: gmaze
- License: mit
- Created: 2017-12-04T14:27:38.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-04-16T19:13:35.000Z (about 7 years ago)
- Last Synced: 2024-06-11T16:42:31.173Z (12 months ago)
- Topics: chaos, dynamic, gcm, in-situ, observation, occiput, ocean
- Language: Python
- Size: 729 KB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PIRATE
**Probabilistic InteRpretation of Altimeter and in-siTu obsErvations**
This is a repo with codes for my contribution to the PIRATE project (OST-ST, 2017-2021) on work package entitled:
*Which observations/locations/timescales are most affected by Low-Frequency Chaotic Intrinsic Variability ?*
## Content
``analysis`` contains example of scripts to analyse the OCCIPUT data.
``src`` contains the ``pirate`` python package to be imported by your scripts.
## Usage
Create a dataset where we aggregate all members for a small region and a given month:
```python
import os, glob
import pirate as pr
# List all member files from 1 month:
src_path = "../data/OBS.y2014m06/"
flist = glob.glob(os.path.join(src_path + "ORCA025.L75-OCCITENS.*_enact_fdbk.nc"))
# Create and collect data of the ensemble:
ens = pr.agg.ensemble(flist, lon=[-85, -50], lat=[20, 35])
ds = ens.collect() # This can take a while for a large region
```
and plot some profile ensemble statistics:
```python
i_obs = 1
pr.plot.ensemble_profiles(ds, i_obs, vnames=['POTM', 'PSAL'])
```
```python
i_obs = 3
pr.plot.ensemble_profile_pdf(ds, i_obs, N=15, vname="POTM", obscolor='r')
```
## Sample data
One sample of data can be downloaded from here:
https://storage.googleapis.com/pirate_data/ENS/y2014m06/ORCA025.L75-OCCITENS.y2014m06_EDWregion.nc
## Dependencies
The following modules are required: ```numpy, pandas, xarray```