scahpy 2.0.10
SCAHpy — System for Coupled Atmosphere–Hydrosphere Analysis in Python
Requires Python: >=3.10
Keywords: scahpy, xarray, climate, WRF, CROCO, ocean-atmosphere

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  <h3 style="margin-top:0;">📢 SCAHpy v2.0 — Major Release ⭐</h3>

  Version <b>2.0</b> of SCAHpy is now available with improved stability,
  new analytical and plotting features, and a fully reorganized documentation framework.

  The official documentation is now provided in <b>two languages</b>:
  <b>English</b> and <b>Spanish</b>, increasing accessibility for both regional and international research communities.

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## **What is SCAHpy?**

**SCAHpy** (System for Coupled Atmosphere–Hydrosphere Analysis in Python) is an open-source scientific Python package that facilitates the analysis and visualization of outputs from the atmospheric, oceanic, and hydrological components of **IGP RESM-COW** coupled model (see [ref1](http://hdl.handle.net/20.500.12816/5327), [ref2](http://hdl.handle.net/20.500.12816/5568)).

It provides tools for processing, diagnosing, and visualizing model results in a modular and reproducible way.

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## **Why SCAHpy?**

The atmospheric and oceanic components of coupled models generate **large volumes of output data**, making post-processing and diagnostics complex.  
**SCAHpy** simplifies these tasks by streamlining data handling, coordinate management, and temporal adjustments (e.g., conversion to local time), while integrating high-level plotting utilities for maps, sections, and time-series analyses.

Its design is inspired by the principles of **open and reproducible science**, promoting accessibility and collaboration across research institutions.

## **How to use SCAHpy?**

SCAHpy can be used as a standalone Python package or within high-performance computing environments such as the **HPC-IGP Cluster**, which hosts more than 22 years of regional coupled simulations over the Peruvian domain.

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<b>Note:</b> <i>SCAHpy has been developed and validated using IGP RESM-COW model outputs. However, it is fully compatible with any WRF or CROCO-based dataset or NetCDF output following CF-Conventions. Community contributions are welcome!</i>
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# Documentation

The official documentation is hosted here:  
👉 https://fiorelacl.github.io/SCAHpy/

It is available in **English** and **Spanish**, with a complete bilingual structure using Quarto profiles.

## Installation

### Using Mamba

1. Install mamba or miniconda through [Miniforge](https://github.com/conda-forge/miniforge).
2. Create the environment using the included `environment.yml`:

```bash
 mamba env create --file environment.yml -n scahpy_env
```

#### Using pip

1. To install SCAHpy directly. Open a terminal, then run the following command:

```bash
 pip install scahpy
```

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<b>Note:</b> <i> Checkout the contribution page if you want to get involved and help maintain or develop SCAHpy </i> </p>
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