Global air temperature has become the primary metric for judging global climate change. The variability of global temperature on a decadal timescale is still poorly understood. This paper examines further one suggested hypothesis, that variations in solar radiation reaching the surface (Rs) have caused much of the observed decadal temperature variability. Because Rs only heats air during the da...

Abstract The study is conducted to examine the climate change impact on rice Crop Water Requirement (CWR) and Net Irrigation (NIR) using NASA Earth Exchange Global Daily Downscaled Projection (NEX-GDDP) coupled with CROPWAT 8.0 model. maximum temperature (Tmax), minimum (Tmin), rainfall projections for baseline (years 1981–2015) future 2030 2040) under Representative Concentration Pathway (RCP)...

During the past several decades, observational data have shown a faster increase in hot temperature extremes than the change in mean temperature. Increasingly high extreme temperatures are expected to affect terrestrial ecosystem function. The ecological impact of hot extremes on vegetation production, however, remains uncertain across biomes in natural climatic conditions. In this study, we in...

Background: In the context of climate change, an efficient alert system to prevent the risk associated with summer heat is necessary. The authors' objective was to describe the temperature-mortality relationship in France over a 29-year period and to define and validate a combination of temperature factors enabling optimum prediction of the daily fluctuations in summer mortality. Methods: The s...

BACKGROUND Although the effects of meteorological factors on the general population health are widely documented, little is known about their influence on human pregnancy and birth. The present study aims at analyzing the influence of the atmospheric conditions on premature births. METHOD One hundred and eight nine cases of premature births were included in the study, with a gestational age b...

While the rise in global mean temperature over the past several decades is now widely acknowledged, the issue as to whether and to what extent temperature variability is changing continues to undergo debate. Here, variability refers to the spread of the temperature distribution. Much attention has been given to the effects that changes in mean temperature have on extremes, but these changes are...

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...

Precise estimation of reference evapotranspiration (ET0) is significant importance in hydrologic processes. In this study, a genetic algorithm (GA) optimized back propagation (BP) neural network model was developed to estimate ET0 using different combinations meteorological data across various climatic zones and seasons China. Fourteen locations were selected represent five major climates. Mete...