Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Wansuo Duan"'
Autor:
Binhe Luo, Dehai Luo, Aiguo Dai, Cunde Xiao, Ian Simmonds, Edward Hanna, James Overland, Jiaqi Shi, Xiaodan Chen, Yao Yao, Wansuo Duan, Yimin Liu, Qiang Zhang, Xiyan Xu, Yina Diao, Zhina Jiang, Tingting Gong
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract In recent decades boreal wildfires have occurred frequently over eastern Siberia, leading to increased emissions of carbon dioxide and pollutants. However, it is unclear what factors have contributed to recent increases in these wildfires. H
Externí odkaz:
https://doaj.org/article/71c661a3dc0e4e348fd67e59a6895087
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Based on the initial errors in the whole Pacific that are most likely to affect the predictions of two types of El Niño events, the sensitive area of ocean temperature in the whole Pacific for El Niño prediction starting from January is identified
Externí odkaz:
https://doaj.org/article/625a4c7bd62b4d0b8a26b1bc82ba6b2f
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 17, Pp n/a-n/a (2023)
Abstract Understanding eastward‐propagating mechanisms of the Madden–Julian Oscillation (MJO) is of great importance for the subseasonal prediction of extreme weather and climate worldwide. Using global satellite observations and reanalysis data,
Externí odkaz:
https://doaj.org/article/d71e4cfb383a4da0bca0c9f00da61159
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
The sensitivity of the sea surface height anomaly (SSHA) forecasting on the accuracy of mesoscale eddies over the Kuroshio Extension region, which was determined by the conditional non-linear optimal perturbation (CNOP) method using a two-layer quasi
Externí odkaz:
https://doaj.org/article/903dac401fe7412ab894769dab3a024e
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 7, p 1292 (2023)
The accuracy of different types of El Niño-Southern Oscillation (ENSO) predictions is sensitive to initial errors in different key areas of the Pacific Ocean. To improve the accuracy of the forecast, assimilation techniques can be utilized to elimin
Externí odkaz:
https://doaj.org/article/523ae0579ddf4fb3b46093a1ad28d3a9
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 11, p 1169 (2021)
The effects of El Niño on the predictability of positive Indian Ocean dipole (pIOD) events are investigated by using the GFDL CM2p1 coupled model from the perspective of error growth. The results show that, under the influence of El Niño, the summe
Externí odkaz:
https://doaj.org/article/6f534055f7bd48fbb3db13f408d2026a
Publikováno v:
Algorithms, Vol 14, Iss 3, p 83 (2021)
A typhoon is an extreme weather event with strong destructive force, which can bring huge losses of life and economic damage to people. Thus, it is meaningful to reduce the prediction errors of typhoon intensity forecasting. Artificial and deep neura
Externí odkaz:
https://doaj.org/article/7373bf61408b428f97d96d2b0c5b0408
Autor:
Xiaohao Qin, Wansuo Duan
Publikováno v:
Atmosphere, Vol 11, Iss 11, p 1263 (2020)
Using ensemble forecast experiments generated by the weather research and forecasting model, the forecast uncertainties of intensity and its rapid intensification (RI) induced by the uncertainty occurring in the boundary layer are investigated for Ty
Externí odkaz:
https://doaj.org/article/3fd689ebf86849098328a99498e85533
Autor:
Wansuo Duan, Feifan Zhou
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 65, Iss 0, Pp 1-20 (2013)
We propose a non-linear forcing singular vector (NFSV) approach to infer the effect of non-linearity on the predictability associated with model errors. The NFSV is a generalisation of the forcing singular vector (FSV) to non-linear fields and acts a
Externí odkaz:
https://doaj.org/article/6e84cf20148849a6975f21d61e651e5f
Publikováno v:
Advances in Meteorology, Vol 2012 (2012)
Externí odkaz:
https://doaj.org/article/cdb4d087443146fe9defcb95e7e6c300