Climate is one of the single most important factors affecting watershed ecosystems and water resources. The effect of climate variability and change has been studied extensively in some places; in many places, however, assessments are hampered by limited availability of long-term continuous climate data. Weather generators provide a means of synthesizing long-term climate data that can then be ...

Error characterization is vital for the advancement of precipitation algorithms, the evaluation of numerical model outputs, and their integration in various hydro-meteorological applications. The Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) has been a benchmark for successive Global Precipitation Measurement (GPM) based products. This has given way to...

atmospheric circulation patterns are responsible for drought and flood occurrences around the globe specifically in moderate mid latitude climates. while some circulation patterns are responsible for wet spells and floods as well, the drought events can be attributed to some other circulation patterns. therefore, identification and distinction of dry/wet producing patterns and the geographical ...

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 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...

We developed a dataset of local-scale daily climate change scenarios for Japan (called ELPIS-JP) using the stochastic weather generators (WGs) LARS-WG and, in part, WXGEN. The ELPIS-JP dataset is based on the observed (or estimated) daily weather data for seven climatic variables (daily mean, maximum and minimum temperatures; precipitation; solar radiation; relative humidity; and wind speed) at...

Climate change is one of the leading issues affecting river basins due to its direct impacts on cryosphere and hydrosphere. General circulation models (GCMs) are widely applied tools assess climate but coarse spatial resolution GCMs limit their application for local studies. This study selected five CMIP5 (CCSM4, HadCM3, GFDL-CM3, MRI-CGCM3 CanESM2) performance evaluation ranked by Nash–Sutclif...