https://github.com/jmbhughes/goes_solar_retriever

Tool to retrieve GOES-R Solar Data
https://github.com/jmbhughes/goes_solar_retriever

data data-retrieval data-science goes-16 goes-satellite goes16 goes17 solar solar-physics

Last synced: about 1 month ago
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Tool to retrieve GOES-R Solar Data

• Host: GitHub
• URL: https://github.com/jmbhughes/goes_solar_retriever
• Owner: jmbhughes
• Created: 2019-09-21T17:34:40.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-07-19T22:15:18.000Z (about 2 months ago)
• Last Synced: 2024-07-20T02:42:46.347Z (about 2 months ago)
• Topics: data, data-retrieval, data-science, goes-16, goes-satellite, goes16, goes17, solar, solar-physics
• Language: Jupyter Notebook
• Size: 25.4 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# GOES Solar Retriever

The solar data from the GOES satellite is stored on an [FTP server](https://data.ngdc.noaa.gov/platforms/solar-space-observing-satellites/goes/).

This tool allows for easy retrieval of the data in Python. 

## Install

```pip install goes-solar-retriever ```

## Examples

```python 

from datetime import datetime

from goessolarretriever import Retriever, Satellite, Product

satellite = Satellite.GOES16

product = Product.suvi_l2_ci195

# Retrieve every hundredth image between two time periods

start = datetime(2020, 3, 15)

end = datetime(2020, 3, 20)

r = Retriever()

results = r.search(satellite, product, start, end)

r.retrieve(results[::100], "/home/marcus/Desktop/imgs/")

# Retrieve the image closest to a time

time = datetime(2020, 3, 15, 12, 0)

r = Retriever()

filename = r.retrieve_nearest(satellite, product, time, "/home/marcus/Desktop/imgs/")

``` 

## Satellites included:

* GOES 16: `Satellite.GOES16`

* GOES 17: `Satellite.GOES17`

## Products included:

* 94 angstrom composite: `Product.suvi_l2_ci094`

* 131 angstrom composite: `Product.suvi_l2_ci131`

* 171 angstrom composite: `Product.suvi_l2_ci171`

* 195 angstrom composite: `Product.suvi_l2_ci195`

* 284 angstrom composite: `Product.suvi_l2_ci284`

* 304 angstrom composite: `Product.suvi_l2_ci304`

* 94 ansgstrom L1b: `Product.suvi_l1b_fe094`

* 131 angstrom L1b: `Product.suvi_l1b_fe131`

* 171 angstrom L1b: `Product.suvi_l1b_fe171`

* 195 angstrom L1b: `Product.suvi_l1b_fe195`

* 284 angstrom L1b: `Product.suvi_l1b_fe284`

* 304 angstrom L1b: `Product.suvi_l1b_he304`

* SUVI thematic maps: `Product.suvi_l2_thmap`

## TODO:

* Provide full support for products other than SUVI. 

* Add documentation

* Create tests

* Make a progress bar show up when searching