The devastating effects of drought on agriculture, water resources, and other socioeconomic activities have severe consequences food security resource management. Understanding the mechanism that drives predicting its variability is important for enhancing early warning disaster risk In this study, meteorological droughts over six coastal synoptic stations were investigated using three-month St...

Abstract Two decades of high-resolution satellite observations and climate modeling studies have indicated strong ocean–atmosphere coupled feedback mediated by ocean mesoscale processes, including semipermanent meandrous SST fronts, eddies, filaments. The air–sea exchanges in latent heat, sensible momentum, carbon dioxide associated with this so-called interaction are robust near the major west...

Long-term prediction of precipitation in planning and managing water resources, especially in arid and semi-arid countries such as Iran, has a great importance. In this paper, a method for predicting long-term precipitation using weather signals and artificial neural networks is presented. For this purpose, climatic data (large-scale signals) and meteorological data (local precipitation and tem...

Abstract We apply a new efficient methodology for Bayesian global sensitivity analysis large-scale multivariate data. A Gaussian process is used as surrogate model to replace the expensive computer model. To improve computational efficiency and performance of model, compactly supported correlation functions are used. The goal generate sparse matrices, which give crucial advantages when dealing ...