Changes in version 0.1.2 (2026-04-22)                  

Major improvements

  - Revised climate simulation engine (simulate_climate_series()):
      - Replaced the previous implementation with a more physically
        consistent stochastic framework.
      - Improved representation of seasonality, temporal persistence
        (AR(1)), and long-term trends.
      - Introduced bounded temperature generation using truncated normal
        (Tmin) and gamma-based perturbation (Tmax).
      - Enhanced rainfall modelling using a first-order Markov chain for
        occurrence and gamma-distributed intensity.
      - Added rainfall–temperature coupling, ensuring realistic negative
        dependence between precipitation and maximum temperature.
      - Enforced diurnal consistency constraint (Tmax > Tmin) after
        rounding.

Enhancements

  - Improved statistical realism of simulated outputs:
    
      - More realistic skewness in rainfall distributions.
      - Better alignment of autocorrelation structure with
        climatological expectations.
      - Strengthened cross-variable relationships (temperature–rainfall
        coupling).

  - Updated internal validation workflow:
    
      - validate_climate_internal() now performs more robust checks on:
          - physical constraints
          - distributional properties
          - temporal autocorrelation
          - trend behavior
          - seasonal patterns