Global warming is likely to cause a progressive drought increase in some regions, but how population and natural resources will be affected still underexplored. This study focuses on global population, forests, croplands pastures exposure meteorological hazard the 21st century, expressed as frequency severity of events. As input, we use large ensemble climate simulations from Coordinated Region...

The climate anomaly in the Amazon River basin (ARB) has a very important influence on global change and always been focus of scientists from all over world. To fill 11-month data gap between Gravity Recovery Climate Experiment (GRACE) GRACE Follow-On (GRACE-FO) missions, we fused TWSC results six solutions by using generalized three-cornered hat least square method to improve reliability result...

Drought is an inevitable condition with negative impacts in the agricultural and climatic sectors, especially developing countries. This study attempts to examine spatial temporal characteristics of drought its trends Koshi River Basin (KRB) Nepal, using standardized precipitation evapotranspiration index (SPEI) over period from 1987 2017. The Mann-Kendall test was used explore SPEI values. ill...

Current methods for climate change assessment ignore the significant differences in uncertainty model projections of two key constituents drought, precipitation, and evapotranspiration. We present here a new basis assessing future drought using simulations that addresses this limitation. The method estimates Standardized Precipitation Evapotranspiration Index (SPEI) two-stage process. first sta...

Drought analysis via the Standardized Precipitation Index (SPI) and Evapotranspiration (SPEI) is necessary for effective water resource management in Sarawak, Malaysia. Rainfall best indicator of a drought, but temperature also significant because it controls evaporation condensation. This study examined drought periods state Sarawak using SPI SPEI based on monthly precipitation data from thirt...

The presented paper compares forecast of drought indices based on two different models of artificial neural networks. The first model is based on feedforward multilayer perceptron, sANN, and the second one is the integrated neural network model, hANN. The analyzed drought indices are the standardized precipitation index (SPI) and the standardized precipitation evaporation index (SPEI) and were ...

The SpeI/DpnI map of the 5.9 Mb Pseudomonas aeruginosa PAO (DSM 1707) genome was refined by two-dimensional (2D) pulsed-field gel electrophoresis techniques (PFGE) which allow the complete and consistent physical mapping of any bacterial genome of interest. Single restriction digests were repetitively separated by PFGE employing different pulse times and ramps in order to detect all bands with ...