lccgrid 0.1.1

Convert Lambert Conformal grid to lat/lon coordinates

lccgrid

A simple Python package to convert Lambert Conformal Conic (LCC) grid coordinates to latitude and longitude.

This package provides a single utility function get_coord() which converts grid indices in LCC projection to geographic coordinates (lon/lat).

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📦 Installation

Install using pip:

pip install lccgrid

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🚀 Usage

from lccgrid import get_coord

# Example input: 100x100 grid with 10km spacing centered at 35N, 135E
lon, lat = get_coord(
    nx=100, ny=100,
    lat1=35.0, lon1=135.0,
    nx_orig=50, ny_orig=50,
    stdlat1=30.0, stdlat2=60.0,
    lon0=135.0,
    dx=10000, dy=10000
)

The returned lon and lat are 2D NumPy arrays of shape (ny, nx) containing longitude and latitude coordinates at each grid point.

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📘 Function Documentation

get_coord(
    nx: int,
    ny: int,
    lat1: float,
    lon1: float,
    nx_orig: int,
    ny_orig: int,
    stdlat1: float,
    stdlat2: float,
    lon0: float,
    dx: float,
    dy: float
) -> Tuple[np.ndarray, np.ndarray]

Parameters:

• nx, ny: Number of grid points in X and Y directions.
• lat1, lon1: Latitude and longitude of the origin (center of projection).
• nx_orig, ny_orig: Grid index at the origin (usually 1-based).
• stdlat1, stdlat2: First and second standard parallels.
• lon0: Central meridian of the projection.
• dx, dy: Grid spacing in meters.

Returns:

• (lon, lat): 2D arrays of longitude and latitude.

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📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

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🔗 Links

• GitHub Repository
• PyPI Package