Trends in seasonal mean values of maximum and minimum temperature are analysed the Spanish mainland from new MOTEDAS_century database. This data set has been developed combining digitalized archives Meteorological Agency (AEMET) with information retrieved Annual Books published by former dating back to 1916, covers period 1916–2015. In all four seasons, (Tmax) (Tmin) increased. The raising occu...

We investigated the link between ambulance transports and meteorological parameters of summer by using daily data in Osaka area, Japan. Daily observations for ambulance transports (from July 1 to September 30, 2009) were obtained from Fire Department Service in Osaka. Data of meteorological parameters in Osaka area, Japan (from July 1 to September 30, 2009) were also obtained from Japan Meteoro...

thin layer drying of russian olive (elaeagnusan gastifolial l.) fruit using a hot air dryer in order to calculate effective moisture diffusivity, activation energy and energy consumption has been evaluated in this article. the selected variables included three levels of air velocity of 0.5, 1 and 1.5 m/s and three air temperature levels of 50, 60 and 70°c. increased air temperature increased ef...

One of the most important hydrological time series task is to determine if there is any trend in the data and how to achieve stationarity when there is nonstationarity behavior in data. Detecting trend and stationarity in hydrological time series may help us to understand the possible links between hydrological processes and global climate changes. In this study yearly, monthly and daily stream...

evaporation is one of the main parameters for the optimum operation of reservoirs, design of irrigation systems and scientific management of water resources. accurate estimation of the water evaporation level is crucial in any region especially in arid and semiarid regions. in this study, the feasibility of simulation of pan evaporation in maraghe station using the multiple regression models we...

One of the most important hydrological time series task is to determine if there is any trend in the data and how to achieve stationarity when there is nonstationarity behavior in data. Detecting trend and stationarity in hydrological time series may help us to understand the possible links between hydrological processes and global climate changes. In this study yearly, monthly and daily stream...

There is an error in the second paragraph of the “Temperature” portion of the “Measurement of Covariates” subsection of the Methods. The correct paragraph is: For purposes of linking with REGARDS participant data, daily mean air temperature values for 2003–2009 were defined as the average of the hourly values for a 24-hour period ending at midnight local standard time. The trailing 1-year mean ...

Climate change is expected to have a significant effect on the first flowering date (FFD) in plants flowering in early spring. Prunus yedoensis Matsum is a good model plant for analyzing this effect. In this study, we used a degree day model to analyze the effect of air temperatures on the FFDs of P. yedoensis at Wuhan University from a long-time series from 1951 to 2012. First, the starting da...