Upper-ocean temperature trends in the Eastern China Seas during 1976–1996

2018 ◽  
Vol 36 (5) ◽  
pp. 1527-1536
Author(s):  
Yuqi Wang ◽  
Xiaopei Lin ◽  
Ziguang Li
2019 ◽  
Vol 79 (2) ◽  
pp. 109-126
Author(s):  
D Tian ◽  
J Su ◽  
F Zhou ◽  
B Mayer ◽  
D Sein ◽  
...  

2007 ◽  
Vol 37 (2) ◽  
pp. 174-187 ◽  
Author(s):  
D. E. Harrison ◽  
Mark Carson

Abstract Subsurface temperature trends in the better-sampled parts of the World Ocean are reported. Where there are sufficient observations for this analysis, there is large spatial variability of 51-yr trends in the upper ocean, with some regions showing cooling in excess of 3°C, and others warming of similar magnitude. Some 95% of the ocean area analyzed has both cooled and warmed over 20-yr subsets of this period. There is much space and time variability of 20-yr running trend estimates, indicating that trends over a decade or two may not be representative of longer-term trends. Results are based on sorting individual observations in World Ocean Database 2001 into 1° × 1° and 2° × 2° bins. Only bins with at least five observations per decade for four of the five decades since 1950 are used. Much of the World Ocean cannot be examined from this perspective. The 51-yr trends significant at the 90% level are given particular attention. Results are presented for depths of 100, 300, and 500 m. The patterns of the 90% significant trends are spatially coherent on scales resolved by the bin size. The vertical structure of the trends is coherent in some regions, but changes sign between the analysis depths in a number of others. It is suggested that additional attention should be given to uncertainty estimates for basin average and World Ocean average thermal trends.


2008 ◽  
Vol 21 (10) ◽  
pp. 2259-2268 ◽  
Author(s):  
Mark Carson ◽  
D. E. Harrison

Abstract There is great interest in World Ocean temperature trends, yet the historical global ocean database has very uneven coverage in space and time. Previous work on 50-yr upper ocean temperature trends from the NOAA ocean data archive is extended here. Trends at depths from 50 to 1000 m are examined, based on observations gridded over larger regions than in the earlier study. Despite the use of larger grid boxes, most of the ocean does not have significant 50-yr trends at the 90% confidence level (CL). In fact only 30% of the ocean at 50 m has 90% CL trends, and the percentage decreases significantly with increasing depth. As noted in the previous study, there is much spatial structure in 50-yr trends, with areas of strong warming and strong cooling. These trend results are compared with trends calculated from data interpolated to standard levels and from a highly horizontally interpolated version of the dataset that has been used in previous heat content trend studies. The regional trend results can differ substantially, even in the areas with statistically significant trends. Trends based on the more interpolated analyses show more warming. Together with major temporal and spatial sampling limitations, the previously described strong interdecadal and spatial variability of trends makes it very difficult to formally estimate uncertainty in World Ocean averages, but these results suggest that upper ocean heat content integrals and integral trends may be substantially more uncertain than has yet been acknowledged. Further exploration of uncertainties is needed.


2013 ◽  
Vol 10 (1) ◽  
pp. 111-155 ◽  
Author(s):  
X. Q. He ◽  
Y. Bai ◽  
D. L. Pan ◽  
C.-T. A. Chen ◽  
Q. Chen ◽  
...  

Abstract. The eastern China seas are one of the largest marginal seas in the world, where high primary productivity and phytoplankton blooms are often observed. However, to date, little is known about the spatial and temporal variability of phytoplankton blooms in these areas due to the difficulty of the monitoring of bloom events by field measurement. In this study, 14-yr time series of satellite ocean color data from the Sea-Viewing Wide Field-of-view Sensor (SeaWiFS) and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite have been used to investigate the seasonal and inter-annual variability and long-term changes of phytoplankton blooms in the eastern China seas. We validated and calibrated the satellite-derive chlorophyll concentration in the eastern China seas based on extensive data sets from two large cruises. Overestimation of satellite-derive chlorophyll concentration caused by high water turbidity was found to be less than 10 μg L−1. This level can be used as a safe threshold for the identification of a phytoplankton bloom in a marginal sea with turbid waters. Annually, blooms mostly occur in the Changjiang Estuary and along the coasts of Zhejiang. The coasts of the northern Yellow Sea and Bohai Sea also have high-frequency blooms. The blooms have significant seasonal variation, with most of the blooms occurring in the spring (April–June) and summer (July–September). This study revealed a doubling in bloom intensity in the Yellow Sea and Bohai Sea during the past 14 yr (1998–2011), yet surprisingly, there has been no decadal increase or decrease of bloom intensity in despite of significant inter-annual variation in the Changjiang Estuary. The time series in situ datasets show that both the nitrate and phosphate concentrations increase more than twofold from 1998 to 2005. This might be the reason for the doubling of bloom intensity in the Yellow Sea and Bohai Sea. In addition, the ENSO and PDO can affect the inter-annual variation of bloom intensity in the eastern China seas.


2013 ◽  
Vol 10 (7) ◽  
pp. 4721-4739 ◽  
Author(s):  
X. He ◽  
Y. Bai ◽  
D. Pan ◽  
C.-T. A. Chen ◽  
Q. Cheng ◽  
...  

Abstract. The eastern China seas are some of the largest marginal seas in the world, where high primary productivity and phytoplankton blooms are often observed. However, little is known about their systematic variation of phytoplankton blooms on large spatial and long temporal scales due to the difficulty of monitoring bloom events by field measurement. In this study, we investigated the seasonal and interannual variability and long-term changes in phytoplankton blooms in the eastern China seas using a 14 yr (1998–2011) time series of satellite ocean colour data. To ensure a proper satellite dataset to figure out the bloom events, we validated and corrected the satellite-derived chlorophyll concentration (chl a) using extensive in situ datasets from two large cruises. The correlation coefficients between the satellite retrieval data and the in situ chl a on the logarithmic scale were 0.85 and 0.72 for the SeaWiFS and Aqua/MODIS data, respectively. Although satellites generally overestimate the chl a, especially in highly turbid waters, both the in situ and satellite data show that the overestimation of satellite-derived chl a has an upper limit value (10 μg L−1), which can be used as a threshold for the identification of phytoplankton blooms to avoid the false blooms resulting from turbid waters. Taking 10 μg L−1 as the threshold, we present the spatial-temporal variability of phytoplankton blooms in the eastern China seas over the past 14 yr. Most blooms occur in the Changjiang Estuary and along the coasts of Zhejiang, with a maximal frequency of 20% (about 73 days per year). The coasts of the northern Yellow Sea and the Bohai Sea also have high-frequency blooms (up to 20%). The blooms show significant seasonal variation, with most occurring in spring (April–June) and summer (July–September). The study also revealed a doubling in bloom intensity in the Yellow Sea and Bohai Sea during the past 14 yr. The nutrient supply in the eastern China seas might be a major controlling factor in bloom variation. The time series in situ nutrient datasets show that both the nitrate and phosphate concentrations increased more than twofold between 1998 and 2005 in the Yellow Sea. This might be the reason for the doubling of the bloom intensity index in the Yellow Sea and Bohai Sea. In contrast, there has been no significant long-term increase or decrease in the Changjiang Estuary, which might be regulated by the Changjiang River discharge. These results offer a foundation for the study of the influence of phytoplankton blooms on the carbon flux estimation and biogeochemical processes in the eastern China seas.


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