2017 was the warmest year on record for the global ocean according to an updated ocean analysis from Institute of Atmospheric Physics/Chinese Academy of Science. The oceans in the upper 2000 m were 1.51 × 1022 J warmer than the second warmest year of 2015 and 19.19 × 1022 J above the 1981–2010 climatological reference period.
2017 was the warmest year on record for the global ocean according to an updated Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP, CAS;
The long-term warming trend driven by human activities continued unabated. The high ocean temperatures in recent years have occurred as greenhouse gas levels in the atmosphere have also risen, reaching record highs in 2017. The results support the provisional announcement by the World Meteorological Organization in November 2017 that "Global ocean heat content in 2017 to date has been at or near record high levels".
Owing to its large heat capacity, the ocean accumulates the warming derived from human activities; indeed, more than 90% of Earth's residual heat related to global warming is absorbed by the ocean. As such, the global ocean heat content record robustly represents the signature of global warming and is impacted less by weather-related noise and climate variability such as El Niño and La Niña events. The year 2016 was cooler than both 2015 and 2017 owing to the huge El Niño, which took some of the heat out of the ocean. According to the IAP ocean analysis, the last five years have been the five warmest years in the ocean. Measurements of ocean heating are a more reliable indicator than atmospheric measurements for tracking the vital signs of the health of the planet. Table 1 shows the ranking of the five warmest years.
The increase in ocean heat content for 2017 occurred in most regions of the world (Fig. 2). The Atlantic and Southern oceans (south of 30
The IAP provides an observation-based ocean temperature analysis from the sea surface down to a depth of 2000 m, available from the year 1940 (
The importance of ocean heat content in climate monitoring is thoroughly discussed in (Cheng et al., 2018). A gridded ocean temperature dataset with complete global ocean coverage is a highly valuable resource for understanding climate change and variability. The IAP provides an objective analysis of historical ocean subsurface temperature through several innovative steps. First, an updated set of past observations, newly corrected for biases [e.g., in Expendable Bathythermograph - XBTs], is used. The XBT bias was corrected by the CH14 scheme (Cheng et al., 2014), which is recommended by the XBT community. Second, the covariability between values at different places in the ocean and background information from several climate models that include a comprehensive ocean model is used. Third, the influence of each observation has been extended over a larger area, recognizing the relative homogeneity of the vast open expanses of the southern oceans. Subsequently, the observations can also be used to provide finer-scale detail. And finally, the new analysis has been carefully evaluated using knowledge of recent well-observed ocean states, but subsampled using the sparse distribution of observations in the more distant past to show that the method produces unbiased historical reconstruction. The method works well back to the late 1950s, but prior to then there are too few observations to make reliable ocean state estimates. The methodology is summarized in (Cheng et al., 2017).