https://github.com/neemiasbsilva/handling-netcdf-using-python
Automating Mass Downloading netCDF File for use to GISS ( Goddard Institute for Space Studies) Software
https://github.com/neemiasbsilva/handling-netcdf-using-python
Last synced: 8 months ago
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Automating Mass Downloading netCDF File for use to GISS ( Goddard Institute for Space Studies) Software
- Host: GitHub
- URL: https://github.com/neemiasbsilva/handling-netcdf-using-python
- Owner: neemiasbsilva
- Created: 2020-06-28T19:42:43.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-01T03:57:23.000Z (over 5 years ago)
- Last Synced: 2025-01-05T13:13:38.502Z (9 months ago)
- Language: Python
- Size: 38.1 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# Automating Mass Downloading netCDF File for use to GISS ( Goddard Institute for Space Studies) Software
## Network Common Data Form (netCDF) Overview
Example of structure netCDF file.
NetCDF is a set of interfaces for array-oriented data access and self-describing,
machine-independent data formats that support the creation, access, and sharing of array-oriented
scientific data.
## Repository Description
The goal of this repository is to researchers use with tool for
get state-of-the-art daily precipitation dataset
[APHRODITE](https://www.chikyu.ac.jp/precip/english/). The APHRODITE, is
asian precipitation - highly - resolved observational data integration
towards evaluation of water resources.
After you get the set of netCDF dataset you can use the [NASA GISS](https://www.giss.nasa.gov/tools/panoply/) to visualizing,
analysing and extract time series of data.
## Getting Started
### Usage
To run the first step of this repository you need to set two arguments of
_run_mass_downloading.sh_ which are:
```
-user_name name@user.com (example) \
-password xxxxxxxx (example)
```
__Note:__ when you clone (or fork this) repository, you need create a folder
and nominate to __netCDF-temperature__.
After that, you can run the script using the terminal of you system operation:
```
sh run_mass_downloading.sh
```
The third step is run another shell script to extract the files and add
the file extension ".nc".
```
sh run_extrated_script.sh
```
And finally, you can use the NASA GISS to visualizing and analysing the dataset.
### Optional, but important setp
The next step is optional, in other words, you can transform the dataset
into time series file (CSV), but before you run the script you need to set some parameters that are:
```
-file_name "chose the directory" \
-csv_path "name of file with extension .csv"
-specie_latitude decimal value \
-specie_longitude decimal value
```
After that, you can type the command bellow in your terminal and press enter:
```
sh run_netCDF_into_time_series.sh
```
#
Sincerely: Neemias B. da Silva
#