Abstract. The wet-bulb temperature (WBT; TW) comprehensively characterizes the and humidity of thermal environment is a relevant variable to describe energy regulation human body. daily maximum TW can be effectively used in monitoring humid heat waves their effects on health. Because meteorological stations differ temporal resolution are susceptible non-climatic influences, it difficult provide...

In this paper, we relied on historical observations for the period between (2005-2020) Baghdad meteorological station, which is characterized by a hot, dry climate in summer and cold rainy winter, as it an example of subtropical region. The multiple linear regression equation was developed improved to produce formula that predicts maximum air temperature. This done relying climatic elements, na...

Predicting the maximum temperature is of great importance because it related to various aspects life, starting from people’s lives and their comfort, passing through medical, industrial, agricultural commercial fields, as well concerning global warming what can result it. Thus, historical observations minimum air temperature, wind speed relative humidity were analyzed in this work. In Baghdad, ...

Evaporation as a major meteorological component of the hydrologic cycle plays a key role in water resources studies and climate change. The estimation of evaporation is a complex and unsteady process, so it is difficult to derive an accurate physical-based formula to represent all parameters that effect on estimate evaporation. Artificial intelligence-based methods may provide reliable predicti...

Background and objectives Wheat gluten (WG) often co-exists with egg white (EW) whey proteins in foods. This study investigated the impact of WG on denaturation hen (S-)ovalbumin [(S-)OVA], lysozyme (LYS), bovine serum albumin (BSA). Findings caused peak temperature LYS BSA to increase that (S-)OVA decrease. It accelerated decelerated OVA, respectively, their lowered activation energy. In contr...

This paper introduces nearest neighbour based fuzzy model (NNFM) based on membership values for forecasting the daily maximum temperature at Delhi . Fuzzy membership values has been used to make single point forecasts into the future on the basis of past nearest neighbours. Compared with other statistical method and artificial neural network (ANN) technique, this approach has the advantages of ...

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract A major limitation of statistical forecasts for specific weather station sites is that they are not spatial in the true sense. And while spatial predictions have been studied, their results have indicated a lack of seasonality. Global Circ...

because of low spatial resolution and simplifications in meteorological processes in global circulation models, they cannot sufficiently simulate the weather, comparing to the regional models; then, spatial and temporal downscaling of the gcm outputs are needed for decreasing errors of the global circulation models. there are two methods of downscaling: statistical and dynamic. weather generato...