Zobrazeno 1 - 10
of 16 664
pro vyhledávání: '"C C, CHEN"'
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 8069-8092 (2024)
Supercooled liquid clouds are common at higher latitudes (especially over the Southern Ocean) and are critical for constraining climate projections. We take advantage of the Macquarie Island Cloud and Radiation Experiment (MICRE) to perform an analys
Externí odkaz:
https://doaj.org/article/a1b25ec56c314af3a792cf3e02128e83
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 1835-1846 (2023)
We investigate the temporal and spatial seismicity patterns prior to eight M > 6 events nucleating in different regions of Taiwan through a region–time–length algorithm and an analysis of a self-organizing spinodal model. Our results show that th
Externí odkaz:
https://doaj.org/article/cf0df480ad1f4b9294e5b316fb9a22ad
Autor:
C. Zhang, J.-C. Golaz, R. Forsyth, T. Vo, S. Xie, Z. Shaheen, G. L. Potter, X. S. Asay-Davis, C. S. Zender, W. Lin, C.-C. Chen, C. R. Terai, S. Mahajan, T. Zhou, K. Balaguru, Q. Tang, C. Tao, Y. Zhang, T. Emmenegger, S. Burrows, P. A. Ullrich
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 9031-9056 (2022)
The E3SM Diagnostics Package (E3SM Diags) is a modern, Python-based Earth system model (ESM) evaluation tool (with Python module name e3sm_diags), developed to support the Department of Energy (DOE) Energy Exascale Earth System Model (E3SM). E3SM Dia
Externí odkaz:
https://doaj.org/article/8a0bb98608db43218b6ae2bd5ca2a55d
Publikováno v:
Photosynthetica, Vol 60, Iss 3, Pp 420-429 (2022)
Amaranthus viridis is a functional food due to its antioxidant activity. The aim of this study was to investigate the responses of photosynthesis, growth, and antioxidant properties in A. viridis to nitrogen (N) applications. A. viridis plants were c
Externí odkaz:
https://doaj.org/article/d4d6827b7c2749ff96010b36980a609e
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 22, Pp 1931-1954 (2022)
Geoelectric time series (TS) have long been studied for their potential for probabilistic earthquake forecasting, and a recent model (GEMSTIP) directly used the skewness and kurtosis of geoelectric TS to provide times of increased probability (TIPs)
Externí odkaz:
https://doaj.org/article/c9b91371cba34309a85848e1d48c10ac
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 9405-9416 (2021)
The COVID-19 pandemic caused significant economic disruption in 2020 and severely impacted air traffic. We use a state-of-the-art Earth system model and ensembles of tightly constrained simulations to evaluate the effect of the reductions in aviation
Externí odkaz:
https://doaj.org/article/01dd938a01314a3ebcec06840d7354ac
Akademický článek
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Autor:
C-C. Chen, S. M. Tabatabaie
Publikováno v:
Проблемы анализа, Vol 927, Iss 3, Pp 83-98 (2020)
In this paper, we study hypercyclicity on solid Banach function spaces, and give the characterization for weighted translation operators to be hypercyclic in terms of weight and aperiodic functions. Some sufficient and necessary conditions for thes
Externí odkaz:
https://doaj.org/article/2d1a6267f99a494d87f4c60205a4be3b
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 743-753 (2020)
Real-time probabilistic seismic hazard assessment (PSHA) was developed in this study in consideration of its practicability for daily life and the rate of seismic activity with time. Real-time PSHA follows the traditional PSHA framework, but the stat
Externí odkaz:
https://doaj.org/article/e2f45bdf840047598f8d539f6d980920
Autor:
Joseph C. C. Chen, Rachael L. Sumner, Venkat Krishnamurthy Naga, Nicholas Hoeh, Hafis Adetokunbo Ayeni, Vikrant Singh, Frederick Sundram, Douglas Campbell, Suresh Muthukumaraswamy
Publikováno v:
Trials, Vol 21, Iss 1, Pp 1-8 (2020)
Abstract Background Depressive disorders are a leading cause of disability, but current behavioural and pharmacological therapies have a slow onset of response, typically taking several weeks before achieving efficacy. Prior studies using triplicate
Externí odkaz:
https://doaj.org/article/7ec28ae5ea1448309a9bf7ee3ad51d41