Abstract. This dataset contains input parameters for 12 703 locations around the world to parameterize a stochastic weather generator called CLIGEN. The are essentially monthly statistics relating daily precipitation, temperature, and solar radiation. is separated into three sub-datasets differentiated by having determined from 30-, 20-, 10-year record lengths. Input related precipitation were ...

This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical weather ensemble forecasts generated by a medium range forecast (MRF) model. 5 Given the coarse resolution (about 200-km grid spacing) of the MR...

The goal of this study was to apply artificial neural networks to predict rain-fed wheat yield using meteorological data a few days to few months before harvesting. The climatic observation data used; were mean of daily minimum and maximum temperature, extreme of daily minimum and maximum temperature, sum of daily rainfall, number of rainy days, sum of daily sun hours, mean of daily wind speed,...

The time budgets, behavior rhythms, foraging habitats and food preferences of oriental white stork Ciconia boyciana were studied from December 2013 to March 2014 with instantaneous scan sampling and focus animal sampling methods at Poyang Lake, Jiangxi province, China. The results showed that the main behavior of oriental white stork were resting (40.07±3.21%) and foraging (35.44±2.42%), follow...

Properties of the transition to strong deep convection, as previously observed in satellite precipitation statistics, are analyzed using parcel stability computations and a convective plume velocity equation. A set of alternative entrainment assumptions yields very different characteristics of the deep convection onset boundary (here measured by conditional instability and plume vertical veloci...

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 ...

abstract temperature is the most important environmental factor that affects flowering and fruiting. the temperatures induce reproduction and cause damaging to tree or its crop.this paper analyzed daily minimum temperatures 0.0oc, and maximum temperatures 12.5 oc from october 1 to may 31 at nine sites in olive producing and cultivating regions, and one control station, using thermal adaptabilit...