https://github.com/jsdhami/ghgplot
Greenhouse Gas Data Analysis with ghgplot
https://github.com/jsdhami/ghgplot
Last synced: 5 months ago
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Greenhouse Gas Data Analysis with ghgplot
- Host: GitHub
- URL: https://github.com/jsdhami/ghgplot
- Owner: jsdhami
- License: mit
- Created: 2024-10-05T05:11:11.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-07T04:58:00.000Z (over 1 year ago)
- Last Synced: 2025-03-23T14:30:17.911Z (about 1 year ago)
- Language: Python
- Homepage: https://vayu.jsdhami.com.np/
- Size: 31.3 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# Greenhouse Gas Data Analysis with `ghgplot`
Welcome to the Greenhouse Gas Data Analysis project! This repository contains tools and scripts for analyzing greenhouse gas (GHG) data, including CO2 flux, CH4 and CO2 concentrations, and CO mixing ratios.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [CO2 Air-to-Sea Flux](#co2-air-to-sea-flux)
- [CH4 and CO2 Concentrations](#ch4-and-co2-concentrations)
- [CO Mixing Ratio](#co-mixing-ratio)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
## Introduction
This project leverages the `ghgplot` library to provide tools for analyzing various greenhouse gases. It includes functionalities for mapping areas of interest, comparing fluxes, and retrieving concentration data from different sources.
## Features
- **CO2 Air-to-Sea Flux Analysis**: Compare fluxes between different dates and locations.
- **CH4 and CO2 Concentration Data**: Retrieve and visualize concentration data from NOAA Global Monitoring Laboratory.
- **CO Mixing Ratio**: Analyze CO mixing ratios and surface temperatures from MOPITT data.
## Installation
To get started, clone the repository and install the required dependencies:
```bash
git clone https://github.com/jsdhami/ghgplot.git
cd ghgplot
pip install -r requirements.txt
```
## Usage
### CO2 Air-to-Sea Flux
1. **Select Area of Interest**:
```python
from ghgplot import co2
co2.aoimap(lat1,lon1,lat2,lon2,lat3,lon3,lat4,lon4)
```
2. **Compare Flux Between Dates**:
```python
co2.flux(YYYYMM,YYYYMM,lat,lon)
```
3. **Print Flux Statistics**:
```python
co2.print_stats(lat1,lon1,lat2,lon2,lat3,lon3,lat4,lon4,yyyymm)
```
### CH4 and CO2 Concentrations
1. **Locate Site**:
```python
from ghgplot import conc
conc.locate_site('site_code')
```
2. **Get CO2 Dataframe**:
```python
conc.get_df_co2('site_code')
```
3. **Get CH4 Dataframe**:
```python
conc.get_df_ch4('site_code')
```
4. **Plot CH4 Concentration**:
```python
conc.get_ch4_plot('site_code')
```
5. **Plot CO2 Concentration**:
```python
conc.get_co2_plot('site_code')
```
### CO Mixing Ratio
1. **Get CO Dataframe**:
```python
from ghgplot import co
co.get_df(year, month, day)
```
2. **Plot CO Mixing Ratio**:
```python
co.get_plot(year, month, day, pressure, count)
```
3. **Plot Surface Temperature**:
```python
co.get_plot_temp(year, month, day, count)
```
## Contributing
We welcome contributions!
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Contact
For any questions or feedback, please contact us at [manish24864pande@gmail.com](mailto:manish24864pandey@gmail.com).
```
# SetUp Project
# Install all Required packages
```bash
pip install -r requirements.txt
```
# Make requirements.txt file
```bash
pip freeze > requirements.txt
```
# activate env
```bash
source env/bin/activate
``` window
env\Scripts\activate