Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Qimin Deng"'
Publikováno v:
Earth and Space Science, Vol 10, Iss 11, Pp n/a-n/a (2023)
Abstract Skilled seasonal forecasting will effectively reduce the economic losses caused by droughts and floods. Because of the powerful data mining capability of deep learning networks, it is increasingly applied in studies of seasonal rainfall pred
Externí odkaz:
https://doaj.org/article/3c9bfbe065214b9d94fb2fa488e4838b
Publikováno v:
Environmental Research Letters, Vol 15, Iss 10, p 104069 (2020)
The onset of spring is crucial for planning agricultural practices and has influences on animal activities as well. It is no doubt beneficial to properly forecast spring onset in advance. In this work, we present a new method based on harmonic analys
Externí odkaz:
https://doaj.org/article/ea6942521e9b4441a0f00f8ac1030b03
Autor:
Qimin Deng, Zuntao Fu
Publikováno v:
International Journal of Climatology. 43:2238-2249
Taking the semiannual cycle of surface air temperature (SAT) into account in fitting the finer structure of the seasonal cycle, this study reveals the specific role of the semiannual cycle in modulating variations of the season onsets and lengths for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c37613e225fee874dfcee6dc352bbda
https://doi.org/10.21203/rs.3.rs-2341890/v1
https://doi.org/10.21203/rs.3.rs-2341890/v1
Autor:
Zexuan, Zhang, Yingying, Yan, Shaofei, Kong, Qimin, Deng, Si, Qin, Liquan, Yao, Tianliang, Zhao, Shihua, Qi
Publikováno v:
The Science of the total environment. 814
Atmospheric ammonia (NH
Autor:
Shaofei Kong, Si Qin, Qimin Deng, Shihua Qi, Liquan Yao, Zexuan Zhang, Tianliang Zhao, Yingying Yan
Publikováno v:
Science of The Total Environment. 814:151957
Atmospheric ammonia (NH3) is one of the most crucial precursors of secondary inorganic aerosols. However, its emission control is still weakness over China. NH3 emission inventories of 2015 with and without considering a set of refined emission reduc
Autor:
Qimin Deng, Zuntao Fu
Publikováno v:
Climate Dynamics. 52:5059-5070
Extracting annual cycle properly from climate series is important in the study of annual cycle and anomaly series. However, the extracting approaches are various and may lead to inconsistent results. Since the real annual cycle is unknown in observed
Autor:
Bo Lu, Jingfang Fan, Xiaosong Chen, Qimin Deng, Gaoke Hu, Xiaoteng Li, Zhenghui Lu, Yongwen Zhang, Yu Sun
Publikováno v:
Communications in Theoretical Physics. 73:065603
Emergence refers to the existence or formation of collective behaviors in complex systems. Here, we develop a theoretical framework based on the eigen microstate theory to analyze the emerging phenomena and dynamic evolution of complex system. In thi
Publikováno v:
Climate Dynamics. 50:1091-1100
Previous studies in the literature show that the annual cycle of surface air temperature (SAT) is changing in both amplitude and phase, and the SAT departures from the annual cycle are long-term correlated. However, the classical definition of temper
Publikováno v:
Environmental Research Letters. 15:104069