The seasonal variations in the significant wave height and sea surface wind speed of the China’s seas

Zheng, Chunmiao; Pan, Jing; Ya, Tan; Gao, Zhan-sheng; Zhen-feng, Rui; Chen, Chaohui

doi:10.1007/s13131-015-0738-0

Cited by 13 publications

(7 citation statements)

References 19 publications

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“…To investigate the climatic characteristics and long-term trends in the global wave field, reliable and extended time series of data are required. Almost all previous studies used satellite altimeter data [1,17,19], numerical hindcast outputs [20,21], buoy data [22,23], ship observations [24], and/or reanalysis data [25][26][27] to investigate the trend in ocean wave conditions. We used ERA5 [28] and ERA-Interim [29] reanalysis datasets produced by the European Center for Medium-Range Weather Forecast (ECMWF), satellite altimeter data from the French Research Institute for the Exploitation of the Sea (IFREMER), and National Data Buoy Center (NDBC) buoy data to statistically analyze global wave trends [30].…”

Section: Datamentioning

confidence: 99%

Global Wave Height Slowdown Trend during a Recent Global Warming Slowdown

2021

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It has been reported that global warming results in the increase of globally averaged wave heights. What happened to the global-averaged wave heights during the global warming slowdown period (1999–2013)? Using reanalysis products, together with remote sensing and in situ observational data, it was found that the temporal variation pattern of the globally averaged wave heights was similar to the slowdown trend in the increase in global mean surface temperature during the same period. The analysis of the spatial distribution of trends in wave height variation revealed different rates in global oceans: a downward trend in the northeastern Pacific and southern Indian Ocean, and an upward trend in other regions. The decomposition of waves into swells and wind waves demonstrates that swells dominate global wave height variations, which indicates that local sea surface winds indirectly affect the slowdown in the rate of wave height growth.

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Section: Datamentioning

confidence: 99%

Global Wave Height Slowdown Trend during a Recent Global Warming Slowdown

2021

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“…In addition to the large-scale climate indices, seven welldocumented environmental indices in the YS, including sea surface temperature (SST), sea surface salinity (SSS), sea level pressure (SLP), scalar wind (SW), wind direction (WD), air temperature (AT), and precipitable water content (PWC), were also selected to represent regional environmental conditions (Cui and Zorita, 1998;Park et al, 2015;Zheng et al, 2015) and to test the responses of IFCSs. More details on these environmental indices are provided in Supplementary Table 1.…”

Section: Pressure Variablesmentioning

confidence: 99%

Appraising the Status of Fish Community Structure in the Yellow Sea Based on an Indicator-Testing Framework

et al. 2021

Front. Mar. Sci.

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Fish community structure (FCS) of the Yellow Sea (YS) is affected by multiple pressures. Quantifying the responses of indicators of FCS (IFCSs) to pressures is a key aspect of ecosystem-based fisheries management. Quantitative methodology has hitherto been rarely applied to evaluate the performance of ecological indicators in response to physical and anthropogenic pressures and management actions. In this study, we adopted a quantitative and flexible framework to quantify the performance of IFCSs in the YS as well as to identify a suite of operational IFCSs to evaluate the status of the FCS via two state-space approaches. A total of 22 IFCSs were tested for their responses to three types of pressures including anthropogenic activities (fishing), large-scale climate change, and regional environmental variables. Our results indicate that the majority of IFCSs have good performance in terms of sensitivity in their responses to pressures, but weak performance in terms of robustness. The IFCSs tend to respond stronger to fishing than to large-scale climatic indices and regional environmental indices both in terms of sensitivity and robustness. A final indicator suite of five best-performing IFCSs was identified. The five IFCSs include total catch (ToC), mean trophic level (MTL), the ratio of catch of large predatory groups to total catch (LPC/ToC), mean temperature of catch (MTC) [or alternatively catch of small pelagic groups (SPC)], and functional evenness based on thermal groups (T-J′FD), all of which show regime shift patterns consistent with climate change. Compared to a reference period (1960–1964), the status of the current FCS has been obviously changed, and the long-term trajectories of the final indicator suite is consistent with that of fishing pressure. This study demonstrates the applicability of the indicator-testing framework in appraising the status of FCS, and facilitates moving towards ecosystem-based fisheries management in the YS.

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“…In contrary, enhanced heat loss through the increase in latent heat flux is mainly responsible for the negative heat flux anomalies in the warm regime. A study by Zheng et al (2015) revealed that the surface wind speed over the SCS shows a linear increasing trend of 3.38 cm s −1 per year during 1988-2011. However, the linear trend is observed to be almost negligible from 1988 to 1996.…”

Section: Scs Sst Linear Trends and Regime Shiftmentioning

confidence: 99%