Trivariate Stochastic Weather Model for Predicting Maize Yield

Stochastic Models for Pricing Weather Derivatives using Constant Risk Premium

‎Pricing weather derivatives is becoming increasingly useful‎, ‎especially in developing economies‎. ‎We describe a statistical model based approach for pricing  weather derivatives by modeling and forecasting daily average temperatures data which exhibits long-range dependence‎. ‎We pre-process the temperature data by filtering for seasonality and volatility an...

Assessment of a crop growth-water balance model for predicting maize growth and yield in a subtropical environment

A combination of a simple and universal crop growth simulator (SUCROS) of van Keulen et al. [van Keulen, H., Penning de Vries, F.W.T., Drees, E.M., 1982. A summary model for crop growth. In: Penning de Vries, F.W.T., Laar van, H.H. (Eds.), Simulation of Plant Growth and Crop Production. Simulation Monographs, Pudoc, Wageningen] with a water balance model (WBM) of Arora et al. [Arora, V.K., Prih...

Understanding the weather signal in national crop-yield variability: Weather-signal in crop-yield variability

Year-to-year variations in crop yields can have major impacts on the livelihoods of subsistence farmers and may trigger significant global price fluctuations, with severe consequences for people in developing countries. Fluctuations can be induced by weather conditions, management decisions, weeds, diseases, and pests. Although an explicit quantification and deeper understanding of weather-indu...

A Stochastic Optimization Model for Groundwater Management

A Stochastic Model for Water Resources Management

Irrigation water management is crucial for agricultural production and livelihood security in many regions and countries throughout the world. Over the past decades, controversial and conflictladen water-allocation issues among competing municipal, industrial and agricultural interests have raised increasing concerns. Particularly, growing population, varying natural conditions and shrinking wa...