Southeast Asia (SEA), a region climatologically important but limited by data availability, is suffering from serious scarceness of heat wave (HW) research. Using the observational and reanalysis data, we find that in most parts SEA, HWs are becoming more frequent, longer-lasting, stronger, affect land areas. The increasing trends HW characteristics defined minimum temperatures larger than thos...

the relationship between the stratospheric conditions and evolution, and the surface weather, not only has revolutionized our understanding of the functions of different atmospheric layers and their dynamics, but has also brought about potential implications for weather and climate predictions in almost any region of the planet. obtaining a better understanding of the field, particularly in sou...

1. introduction as strongly accepted among climatologists, climate change is a result of human activities. there is disagreement about how to define climate change, because of tremendous difference of climate changes in scale, intensity and occurrence time in various regions. recently there have been several observation analyses involving daily and extreme daily temperature trend and variabilit...

introduction: the phenomenon of climate change and its consequences is a familiar topic which is associated with natural disasters such as, flooding, hurricane, drought that cause water crisis and irreparable damages. studying this phenomenon is a serious warning regarding the earth’s weather change for a long period of time. materials and methods: in order to understand and survey the impacts ...

1. introduction climatic change is one of the most important challenges human beings have confronted with in recent centuries due to its severe effects on water resources, agriculture, energy, tourism and even human bioclimatic. developing strategies, making decisions with awareness about water consumption in different parts in the future, and available water resources management require climat...

This study presents a statistical downscaling (SD) method for high-altitude, glaciated mountain ranges. The SD method uses an a priori selection strategy of the predictor (i.e., predictor selection without data analysis). In the SD model validation, emphasis is put on appropriately considering the pitfalls of short observational data records that are typical of high mountains. An application ex...

— We present an analysis of the seasonal cycle of the last 50 years of records of surface temperature in Italy, as described by observations of maximum and minimum daily temperature, and of the surface and upper air temperature of the whole Mediterranean area, as described by the 1951-2000 NCEP reanalysis. We compute the best estimate of the seasonal cycle of the variables considered by adoptin...