Dr. Steenburgh and Mr. Kok are among a breed of mountain meteorologists who have mastered the art of applying vast quantities of meteorological data — from satellites, models and weather stations — to the specific alpine features of their home turf.
These fundamental resources were quantified across a 1100-km2 landscape using biophysical models, a digital elevation model (DEM), and weather station data.
The relationship between the poisson model parameter and weather data is analyzed via regression analysis.
These optimization techniques are vital for existing hydropower plants since it is difficult to predict and model climate and weather precisely.
The R&D section of MSD is engaged in the implementation of numerical weather prediction models and other weather analysis and forecasting techniques.
In order to determine if building designs reach target energy efficiency improvements, it is necessary to estimate the energy performance of a building using predictive models and different weather conditions.
In case of site specific predictions it may be noted that the problem of downscaling a global low-resolution general circulation models to the regional high-resolution scale has been addressed in the past through methods like regression, weather pattern matching, limited area models and stochastic weather generators (Wilby and Wigley 1997).
Promote the application of in situ and space-based earth observations, space technologies, remote sensing, geographic information systems, hazard modeling and prediction, weather and climate modeling and forecasting, communication tools and studies of the costs and benefits of risk assessment and early warning (UNISDR 2005, p. 8).
The Climate Corporation provides tools and a platform to measure and model weather, soil and field data to farmers to optimize their crop production.
For model calibration, harvest and weather data (5 years) and soil data from two locations (Poppenburg and Werlte) in Lower Saxony has been used (Table 1).
