Zobrazeno 1 - 10
of 349
pro vyhledávání: '"nowcast"'
Autor:
Cristiana Tudor, Robert Aurelian Sova
Publikováno v:
PeerJ Computer Science, Vol 9, p e1518 (2023)
Background Colorectal cancer (CRC) is the third most prevalent and second most lethal form of cancer in the world. Consequently, CRC cancer prevalence projections are essential for assessing the future burden of the disease, planning resource allocat
Externí odkaz:
https://doaj.org/article/2ab60d4f10394259832a6ba190e20817
Autor:
Marino Marrocu, Luca Massidda
Publikováno v:
Forecasting, Vol 4, Iss 4, Pp 845-865 (2022)
Rainfall forecasting plays a key role in mitigating environmental risks in urban areas, which are subject to increasing hydrogeological risk due to transformations in the urban landscape. We present a new technique for probabilistic precipitation now
Externí odkaz:
https://doaj.org/article/9fa1fd72ccbd48b1b19d00eebce76e5b
Autor:
Diana Islas-Flores, Adolfo Magaldi
Publikováno v:
Atmosphere, Vol 15, Iss 2, p 152 (2024)
In this study, the nowcast models provided by the Python pySTEPS library were evaluated using radar derived rain rate data and the satellite product Split-Window Difference (SWD) based on GOES-16 data, focusing on central Mexico. Initially, we obtain
Externí odkaz:
https://doaj.org/article/362c0ced32d143e0835657e2165dc0e0
Publikováno v:
Meteorological Applications, Vol 30, Iss 3, Pp n/a-n/a (2023)
Abstract Cloud top height (CTH) indicates the vertical development of clouds. Intensely vertically developing clouds are usually accompanied by extreme weather systems and pose a threat to aviation safety. Therefore, nowcast for CTH is necessary and
Externí odkaz:
https://doaj.org/article/3c7c65f523bc4c0abbc4d204ac93017f
Publikováno v:
Computers, Vol 12, Iss 10, p 206 (2023)
Wind forecasting, which is essential for numerous services and safety, has significantly improved in accuracy due to machine learning advancements. This study reviews 23 articles from 1983 to 2023 on machine learning for wind speed and direction nowc
Externí odkaz:
https://doaj.org/article/2dbd3d0a12a24c1ea9f5176f93e80b16
Autor:
Lin Luo, Zhao Meng, Weiwei Ma, Jingwen Huang, Youchang Zheng, Yang Feng, Yineng Li, Yonglin Liu, Yuanguang Huang, Yuhang Zhu
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
With the rapidly growing population and socioeconomic development of the Guangdong–Hong Kong–Marco Greater Bay Area of China, inputs of diverse contaminants have rapidly increased. This poses threats to the water quality of the Pearl River Estuar
Externí odkaz:
https://doaj.org/article/ef4460f12b5e4314835eded0ace34722
Publikováno v:
Asian Development Review, Vol 38, Iss 02, Pp 237-277 (2021)
In India, the first official estimate of quarterly gross domestic product (GDP) is released approximately 7–8 weeks after the end of the reference quarter. To provide an early estimate of current quarter GDP growth, we construct Coincident Economic
Externí odkaz:
https://doaj.org/article/26652bb6c10040a89e1a6909ad77f430
Publikováno v:
Geoscience Letters, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Large devastating events such as earthquakes often display frequency–magnitude statistics that exhibit power-law distribution. In this study, we implement a recently developed method called earthquake nowcasting (Rundle et al. in Earth Spa
Externí odkaz:
https://doaj.org/article/d973a054e2d742b7b145f420dc160b59
Autor:
Marino Marrocu, Luca Massidda
Publikováno v:
Forecasting, Vol 2, Iss 2, Pp 194-210 (2020)
In this article, a nowcasting technique for meteorological radar images based on a generative neural network is presented. This technique’s performance is compared with state-of-the-art optical flow procedures. Both methods have been validated usin
Externí odkaz:
https://doaj.org/article/3fcbdbd5b1094cf99bcac01216721c95
Autor:
Dawei Wang, Andrea Guerra, Frederick Wittke, John Cameron Lang, Kevin Bakker, Andrew W. Lee, Lyn Finelli, Yao-Hsuan Chen
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 8, Iss 2, p 75 (2023)
The COVID-19 pandemic has disrupted the seasonal patterns of several infectious diseases. Understanding when and where an outbreak may occur is vital for public health planning and response. We usually rely on well-functioning surveillance systems to
Externí odkaz:
https://doaj.org/article/3f04466230274af8aa9de6258b3a266d