advanced

Pyvorin for Climate Modelling

Grid-based simulations and historical data assimilation.

Published May 30, 2026

Grid-Based Simulations

Finite difference methods for atmospheric and ocean models.

def finite_diff_step(grid, dt, dx):
    new_grid = [[0]*len(grid[0]) for _ in range(len(grid))]
    for i in range(1, len(grid)-1):
        for j in range(1, len(grid[0])-1):
            new_grid[i][j] = grid[i][j] + dt/dx**2 * (
                grid[i+1][j] + grid[i-1][j] +
                grid[i][j+1] + grid[i][j-1] - 4*grid[i][j])
    return new_grid

Data Assimilation

Kalman filter and ensemble methods for model calibration.