neemiasbsilva / handling-netcdf-using-python

Automating Mass Downloading netCDF File for use to GISS ( Goddard Institute for Space Studies) Software

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. 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 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 [email protected] (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