oceanclimate_tools

Beginner-friendly Python utilities for oceanography and climate data preprocessing.

Why this exists

Climate and ocean datasets often come from different sources and use different units (e.g., °C vs °F vs K, m/s vs knots, hPa vs atm). Before analysis, visualization, or machine learning, these values must be standardized.

This package provides small, well-documented conversion helpers to make climate and ocean data easier to work with—especially for beginners.

What’s included

• Temperature conversions (°F, °C, K)
• Wind speed conversions (m/s, km/h, mph, knots)
• Pressure conversions (Pa, hPa, atm, psi)
• Salinity helpers (simple, approximate)
• Geographic helpers (degrees/radians, haversine distance)

Installation

pip install oceanclimate-tools

Quick start

from oceanclimate_tools import (
    fahrenheit_to_celsius,
    mps_to_knots,
    haversine_distance_km
)

fahrenheit_to_celsius(68)          # 20.0
mps_to_knots(10)                   # 19.438444924406
haversine_distance_km(
    43.6532, -79.3832,
    40.7128, -74.0060
)

Design philosophy

• Accuracy over rounding
• Simple, readable functions
• Beginner-friendly documentation
• Intended for learning, preprocessing, and reproducible analysis