Zobrazeno 1 - 10
of 12 983
pro vyhledávání: '"wrf"'
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 921-935 (2024)
Abstract High‐resolution climate projections are valuable resources for understanding the regional impacts of climate change and developing appropriate adaptation/mitigation strategies. In this study, we developed a 10‐km gridded hydrometeorologi
Externí odkaz:
https://doaj.org/article/3fc856414b6e4f6fa83f0b22bb6511a8
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 873-895 (2024)
Abstract The regional climate of New Zealand's South Island is shaped by the interaction of the Southern Hemisphere westerlies with the complex orography of the Southern Alps. Due to its isolated geographical setting in the south‐west Pacific, the
Externí odkaz:
https://doaj.org/article/a25ddf513a9c4ed680ff1438f525835c
High‐resolution atmospheric CO2 concentration data simulated in WRF‐Chem over East Asia for 10 years
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 1024-1043 (2024)
Abstract In this study, high‐resolution CO2 concentration data were generated for East Asia to analyse long‐term changes in atmospheric CO2 concentrations, as East Asia is an important region for understanding the global carbon cycle. Using the W
Externí odkaz:
https://doaj.org/article/afc0a0f4b87146869676061f0cb96458
Autor:
M. V. S. Ramarao, Saravanan Arunachalam, Brisa N. Sánchez, Leah H. Schinasi, Maryia Bakhtsiyarava, Waleska Teixeira Caiaffa, Iryna Dronova, Marie S. O’Neill, Ione Avila-Palencia, Nelson Gouveia, Yang Ju, Josiah L. Kephart, Daniel A. Rodríguez
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Heatwaves (HWs) pose a severe threat to human and ecological systems. Here we assess the projected changes in heatwaves over Latin America using bias corrected high-resolution regional climate simulations under two Representative Concentrati
Externí odkaz:
https://doaj.org/article/84e769562e184652aaa148e8df3ddb55
Autor:
Zhuoshi Huang, Jicui Cui, Abdoulaye Boré, Wenchao Ma, Ziyi Zhang, Zhi Qiao, Ziyang Lou, Johann Fellner
Publikováno v:
Eco-Environment & Health, Vol 3, Iss 3, Pp 338-346 (2024)
This study examined the potential health risks posed by the operation of 96 waste-to-energy (WtE) plants in 30 cities in the Bohai Rim of China. Utilizing a sophisticated simulation approach, the Weather Research and Forecasting (WRF) model coupled w
Externí odkaz:
https://doaj.org/article/554707c96aa74f04a39010bab4fe71e9
Publikováno v:
Natural Hazards Research, Vol 4, Iss 3, Pp 347-356 (2024)
Climate vulnerability in the Indian region becomes a major concern due to the frequent hydro-meteorological extreme events throughout the year. The number of extreme rainfall events (ERE) associated with monsoon, thunderstorms and short-spanned local
Externí odkaz:
https://doaj.org/article/e194e56a068f41b19403601aa8a9c226
Autor:
Jin-Lin Zha, Ting Chuan, Yuan Qiu, Jian Wu, De-Ming Zhao, Wen-Xuan Fan, Yan-Jun Lyu, Hui-Ping Jiang, Kai-Qiang Deng, Miguel Andres-Martin, Cesar Azorin-Molina, Deliang Chen
Publikováno v:
Advances in Climate Change Research, Vol 15, Iss 4, Pp 669-679 (2024)
Wind energy development in Central Asia can help alleviate drought and fragile ecosystems. Nevertheless, current studies mainly used the global climate models (GCMs) to project wind speed and energy. The simulated biases in GCMs remain prominent, whi
Externí odkaz:
https://doaj.org/article/cde02c1479ce4cbdaca96d41ded4b4ef
Publikováno v:
Big Earth Data, Vol 8, Iss 3, Pp 540-565 (2024)
A high-resolution meteorological dataset (≤10 km) over the Tibetan Plateau (TP) is the foundation for investigating and predicting the weather and climate over Asia. The TP Subregional Dynamical Downscaling (TPSDD) dataset is a newly developed high
Externí odkaz:
https://doaj.org/article/905b929d599540aa92cccf6e841859da
Autor:
D. Carvalho
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Future changes in the mean, maximum and minimum temperature in continental Portugal were investigated using high-resolution future climate projections based on the latest IPCC AR6 CMIP6 climate scenarios. The results show that the mean, maxi
Externí odkaz:
https://doaj.org/article/d4b9e74301e249b59c56d172aa23ec35
Publikováno v:
Progress in Earth and Planetary Science, Vol 11, Iss 1, Pp 1-28 (2024)
Abstract Atmospheric transport and dispersion models (ATDMs) are widely used to study and forecast pollution events. In the frame of the “Effect of Megacities on the transport and transformation of pollutants on the regional to global scales” (EM
Externí odkaz:
https://doaj.org/article/9b78c9cfef464bafbb09ebbdf7f0aaf0