Understanding the response of extreme precipitation (EP) at a city scale to global warming is critical reducing respective risk urban flooding. Yet, current knowledge on this issue limited. Here, focusing an agglomeration in tropics, Singapore, we reveal that future enhances both frequency and intensity EP, based simulations with state-of-the-art convection-permitting regional climate model. EP...

Abstract. Tropical cyclones are responsible for a large share of global damage resulting from natural disasters, and estimating cyclone-related at national level is challenge attracting growing interest in the context climate change. The models, whose outputs available Coupled Model Intercomparison Project (CMIP), do not resolve tropical cyclones. Cyclone generation Algorithm including THERmody...

With the disturbance of human factors, groundwater resources in source region Yellow River have gradually depleted and water quality has become worse, which seriously affected development high-altitude areas. The from 2016 to 2020 was evaluated using single-component comprehensive evaluation methods, following by a prediction 2021 2100 based on RCPS (RCP 2.6, RCP 4.5, 8.5) scenarios coupled wit...

Climate change can strongly affect renewable energy production. The state of the art in projecting future generation has focused on using regional climate prediction. However, prediction is characterized by inherent uncertainty due to complexity models. This work provides a comprehensive study quantify impact uncertainties potential over five zones Europe. Thirteen scenarios, including global m...

To better understand the possible role of projected land use and cover change (LUCC) in future regional climate projections, we explored response from use/cover under different scenarios. do so, propose a research framework based on SSP-RCPs to simulate explore impacts changes Zhengzhou City, China, using Weather Research Forecasting (WRF) model with meteorological data SSP-RCP scenarios CMIP6....

Understanding how the design hyetographs and floods will change in future is essential for decision making flood management plans. This study provides a methodology to quantify expected changes hydraulic risks at catchment scale city of Pamplona. It considers climate projections supplied by 12 models, 7 return periods, 2 emission scenarios (representative concentration pathway RCP 4.5 8.5), 3 t...

Abstract This study provides a comprehensive assessment of the environmental and economic impacts climate change on global regional forests from now through 2200. By integrating representative concentration pathway (RCP) 2.6 RCP 8.5 emission scenarios with models, vegetation model, socio-economic scenarios, forest explores long run adjustments both ecosystems markets to that have not been studi...

The Siwa region located in the Western Desert of Egypt has 30,000 acres available for reclamation as a part national project to increase agricultural production. This study addressed climate change-driven long-term concerns developing an this where groundwater from non-renewable Nubian Sandstone Aquifer System (NSAS) is only source water. Different models were used under two representative conc...

Energy cane is a sugarcane variety obtained through genetic improvement and it has higher biomass production, essential for energy generation. Mathematical models crop forecasts are excellent tools to support crops can assist in the establishment of different environments climate change scenarios. The objective this work was evaluate impacts on yield simulated by DSSAT/CANEGRO model Alagoas, No...

Embedded systems found their way into all areas of technology and everyday life, from transport systems, facility management, health care, to hand-held computers and cell phones as well as television sets and electric cookers. Modern fabrication techniques enable the integration of such complex sophisticated systems on a single chip (Systemon-Chip, SoC). In many cases, a high processing power i...