Markov Chain Decomposition of Monthly Rainfall into Daily Rainfall: Evaluation of Climate Change Impact

Markov Chain Analogue Year Daily Rainfall Model and Pricing of Rainfall Derivatives

In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...

Mining Extremes: Severe Rainfall and Climate Change

Theoretical developments for the analysis and modeling of extreme value data have tended to focus on limiting cases and assumptions of independence. However, massive datasets from models and sensors, space-time dimensionality, complex dependence structures, long-memory, long-range and low frequency processes all motivate the need for sophisticated methods for correlated and finite data that fol...

Rainfall statistics, stationarity, and climate change

There is a growing research interest in the detection of changes in hydrologic and climatic time series. Stationarity can be assessed using the autocorrelation function, but this is not yet common practice in hydrology and climate. Here, we use a global land-based gridded annual precipitation (hereafter P) database (1940-2009) and find that the lag 1 autocorrelation coefficient is statistically...

Modeling convective rainfall sensitivity to climate change

Introduction Conclusions References

Impacts of climate change on rainfall indices estimation in western sub-basins of Iran