Zobrazeno 1 - 10
of 1 715
pro vyhledávání: '"model ensemble"'
Autor:
Suresh Raj Subedi, Manoj Lamichhane, Susan Dhungana, Bibek Chalise, Shishir Bhattarai, Upendra Chaulagain, Rakesh Khatiwada
Publikováno v:
Discover Civil Engineering, Vol 1, Iss 1, Pp 1-20 (2024)
Abstract Understanding and anticipating the impacts of climate change on hydrological processes is crucial for sustainable water resource management. This study investigates the projected alterations in streamflow within the Tamor River Basin, Nepal,
Externí odkaz:
https://doaj.org/article/6c25910479834bcdbd51b3292507a769
Autor:
Jeřábek Jakub, Kavka Petr
Publikováno v:
Journal of Hydrology and Hydromechanics, Vol 72, Iss 4, Pp 466-485 (2024)
Surface runoff models are essential for designing water and soil protection measures. However, they often exhibit uncertainty in both parameterization and results. Typically, uncertainty is evaluated by comparing model realizations with measured data
Externí odkaz:
https://doaj.org/article/4f840414bf8a496f809042fc081f22fc
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Thanks to the strong representation capability of the pre-trained language models, supervised grammatical error correction has achieved promising performance. However, traditional model training depends significantly on the large scale of si
Externí odkaz:
https://doaj.org/article/c317d7bcdd2a47529935c35ada7e8d56
Autor:
Xinmin Chen, Zexu Shi, Dengpan Xiao, Yang Lu, Huizi Bai, Man Zhang, Dandan Ren, Yongqing Qi, Shikai Song
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Climate change is expected to increase the frequency and severity of climate extremes, which will negatively impact crop production. As one of the main food and feed crops, maize is also vulnerable to extreme climate events. In order to accurately an
Externí odkaz:
https://doaj.org/article/40828596cae046f0a68de4e9c69db046
Publikováno v:
آب و توسعه پایدار, Vol 11, Iss 1, Pp 35-48 (2024)
One of the most challenging issues in water resource management is the impact of climate change on the water supply. It is necessary to examine the effects of climate change on Afghanistan, which is vital to Iran's water resources. To investigate the
Externí odkaz:
https://doaj.org/article/dbdfd4bf34544d639ec47e786f52f135
Autor:
Quan Tran-Anh, Thanh Ngo-Duc
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 5, Pp 2015-2032 (2024)
In this study, we developed a probabilistic model using the surrogate mixed model ensemble (SMME) method to project temperature and rainfall in Vietnam under the Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. The SMME model combine
Externí odkaz:
https://doaj.org/article/648c2771e4f54939b315215570bae481
Autor:
Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M. Nasrabadi, Aldo H. Romero, Prashnna K. Gyawali
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
Machine learning (ML) models have emerged as powerful tools for accelerating materials discovery and design by enabling accurate predictions of properties from compositional and structural data. These capabilities are vital for developing advanced te
Externí odkaz:
https://doaj.org/article/769efd3b70da4da6a1005e3b76b1c0b5
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35933- (2024)
The growing interest in Subseasonal to Seasonal (S2S) prediction data across different industries underscores its potential use in comprehending weather patterns, extreme conditions, and important sectors such as agriculture and energy management. Ho
Externí odkaz:
https://doaj.org/article/a56173130f4d4a8db6208856f692e671
Autor:
Zheng-Tai Zhang, Chang-Ai Xu
Publikováno v:
Advances in Climate Change Research, Vol 15, Iss 2, Pp 222-229 (2024)
Accurate prediction of future surface wind speed (SWS) changes is the basis of scientific planning for wind turbines. Most studies have projected SWS changes in the 21st century over China on the basis of the multi-model ensemble (MME) of the 6th Cou
Externí odkaz:
https://doaj.org/article/0516ce1a6c394caeb1aad15fcc01fee7
Publikováno v:
In Heliyon 30 August 2024 10(16)