Zobrazeno 1 - 10
of 428
pro vyhledávání: '"Bias adjustment"'
Autor:
Younes Zekeik, Maria J. OrtizBevia, Francisco J. Alvarez-Garcia, Ali Haddi, Youness El Mourabit, Ali Alrubaye
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The wind energy requirements for high temporal and spatial observations, unavailable in many countries, are met by reanalysed wind data, which are increasingly used in wind power assessments. However, these data also include unrealistic feat
Externí odkaz:
https://doaj.org/article/f9aa550ccedf435694679ea34ba91006
Publikováno v:
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Abstract The observation errors in precipitation gauges contribute to diminished precision in precipitation data sets. To reduce the impact of these errors, the World Meteorological Organization Solid Precipitation Intercomparison Experiments recomme
Externí odkaz:
https://doaj.org/article/b021789a9ed4414c8c0273f583d4a8e7
Autor:
Philipp Reiter, Markus C. Casper
Publikováno v:
Hydrology, Vol 11, Iss 9, p 143 (2024)
Bias in regional climate model (RCM) data makes bias correction (BC) a necessary pre-processing step in climate change impact studies. Among a variety of different BC methods, quantile mapping (QM) is a popular and powerful BC method. Studies have sh
Externí odkaz:
https://doaj.org/article/bc4f136edd384fa58aef56a7e310cf34
Publikováno v:
Climate Services, Vol 34, Iss , Pp 100471- (2024)
Climate data portals are essential tools for climate change adaptation. This study analyses differences between two Canadian portals providing bias-adjusted CMIP6 simulations: Climate Data Canada and Portraits Climatiques. The study evaluates three c
Externí odkaz:
https://doaj.org/article/d5008f84b3e34e06935e80ccaec4637f
Autor:
Humaira Hussein, Keith R. Abrams, Laura J. Gray, Sumayya Anwer, Sofia Dias, Sylwia Bujkiewicz
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background With the increased interest in the inclusion of non-randomised data in network meta-analyses (NMAs) of randomised controlled trials (RCTs), analysts need to consider the implications of the differences in study designs as such dat
Externí odkaz:
https://doaj.org/article/d48e09dc524a448788699c8c02ebda20
Autor:
Punpim Puttaraksa Mapiam, Sikarin Sakulnurak, Monton Methaprayun, Choowit Makmee, Nat Marjang
Publikováno v:
Water Science and Technology, Vol 87, Iss 5, Pp 1259-1272 (2023)
Weather radar is a form of alternative indirect rainfall measurement for use in mitigating flash flood hazards. It is a challenging task to obtain accurate radar rainfall data without integration with automatic rain gauge networks. This paper investi
Externí odkaz:
https://doaj.org/article/ad840379fd1e403aa1122b8a1dd015eb
Publikováno v:
Heliyon, Vol 9, Iss 7, Pp e18200- (2023)
Recent climate change (CC) scenarios from the Coupled Model Intercomparison Project Phase 6 (CMIP6) have just been released in coarse resolution. Deep learning (DL) based on statistical downscaling has recently been used, but more research is needed,
Externí odkaz:
https://doaj.org/article/5a4bcdb8cab748fd9ddbffdc6932ed54
Publikováno v:
Atmosphere, Vol 15, Iss 3, p 271 (2024)
Analyzing historical and reanalysis datasets for wind energy climatic characteristics offers crucial insights for wind farms and short-term electricity generation forecasting. However, large-scale wind farms in Chinese deserts, the Gobi, and barren a
Externí odkaz:
https://doaj.org/article/eca78088f38a4d95be995fe36467b522
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Akademický článek
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