climate data

Resilient renewable energy networks designed for the desert

1 min read · Thu, Apr 23 2026

renewable energy systems energy systems optimization climate data extreme weather

Accounting for weather extremes is essential for designing reliable renewable energy systems in hot, arid regions.

Statistical models for long-range dependent climate data

Sigrunn Sorbye, Associate Professor, UiT The Arctic University of Norway

Feb 20, 12:00 - 13:00

B9 L2 R2322

statistical models climate data

In this talk I will discuss statistical models which incorporate temperature response to the radiative forcing components. The models can be used to estimate important climate sensitivity measures and give temperature forecasts. Bayesian inference is obtained using the methodology of integrated nested Laplace approximation and Monte Carlo simulations. The resulting approach will be demonstrated in analyzing instrumental data and Earth system model ensembles.