Articles | Volume 15, issue 6
https://doi.org/10.5194/os-15-1455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-15-1455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2019
Research article |
| 08 Nov 2019
| 08 Nov 2019
Testing the validity of regional detail in global analyses of sea surface temperature – the case of Chinese coastal waters
Yan Li
CORRESPONDING AUTHOR
National Marine Data and Information Service, Tianjin, People's
Republic of China
Hans von Storch
Institut für Küstenforschung, Helmholtz Zentrum Geesthacht, Geesthacht,
Germany
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, People's Republic of China
Qingyuan Wang
Tianjin Meteorological Observatory, Tianjin, People's Republic of
China
Qingliang Zhou
Chinese Meteorological Administration, Beijing, People's Republic of
China
Shengquan Tang
Institut für Küstenforschung, Helmholtz Zentrum Geesthacht, Geesthacht,
Germany
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, People's Republic of China
Related authors
Yan Li, Birger Tinz, Hans von Storch, Qingyuan Wang, Qingliang Zhou, and Yani Zhu
Earth Syst. Sci. Data, 10, 643–652, https://doi.org/10.5194/essd-10-643-2018, https://doi.org/10.5194/essd-10-643-2018, 2018
Short summary
Short summary
In order to construct a long-term homogeneous surface air temperature (SAT) series (more than 100 years), based on quality control, interpolation and homogeneity methods, we objectively establish a set of homogenized monthly SAT series in Qingdao, China from 1899 to 2014. Then long-term climate change trends can be described. The SAT in Qingdao has a notable warming of 0.11 °C per decade during 1899–2014. The coldest period occurred in 1909–1918 and the warmest period occurred in 1999–2008.
Roberta Benincasa, Giovanni Liguori, Nadia Pinardi, and Hans von Storch
Ocean Sci., 20, 1003–1012, https://doi.org/10.5194/os-20-1003-2024, https://doi.org/10.5194/os-20-1003-2024, 2024
Short summary
Short summary
Ocean dynamics result from the interplay of internal processes and external inputs, primarily from the atmosphere. It is crucial to discern between these factors to gauge the ocean's intrinsic predictability and to be able to attribute a signal under study to either external factors or internal variability. Employing a simple analysis, we successfully characterized this variability in the Mediterranean Sea and compared it with the oceanic response induced by atmospheric conditions.
Lin Lin, Hans von Storch, and Yang Ding
EGUsphere, https://doi.org/10.5194/egusphere-2024-1332, https://doi.org/10.5194/egusphere-2024-1332, 2024
Short summary
Short summary
The Qingdao cold water mass significantly influences aquaculture in China since it is situated near the Chinese coastline. Based on 3-dimensional numerical simulation results, we find a clockwise current structure that exists around the Qingdao cold water mass; furthermore, we analyze the relationship between the clockwise current with the Qingdao cold water temperature and salinity.
Hans von Storch
Hist. Geo Space. Sci. Discuss., https://doi.org/10.5194/hgss-2023-6, https://doi.org/10.5194/hgss-2023-6, 2023
Revised manuscript under review for HGSS
Short summary
Short summary
Climate science underwent a rapid expansion in the last decades, associated with ever growing significance for climate policy. On the other hand, climate science is, as all sciences, also a social process. Confronted with these developments, several different series of oral interviews with climate scholars, of different seniority, were done and archived. The present article gives an overview of these interviews, and tries to briefly describe the social context of climate science.
Hans von Storch
Nonlin. Processes Geophys., 30, 31–36, https://doi.org/10.5194/npg-30-31-2023, https://doi.org/10.5194/npg-30-31-2023, 2023
Short summary
Short summary
Climate science is, as all sciences, a social process and as such conditioned by the zeitgeist of the time. It has an old history and has attained different political significances. Today, it is the challenge of anthropogenic climate change – and societies want answers about how to deal with it. In earlier times, it was mostly the ideology of climate determinism which led people to construct superiority and eventually colonialism.
Yan Li, Birger Tinz, Hans von Storch, Qingyuan Wang, Qingliang Zhou, and Yani Zhu
Earth Syst. Sci. Data, 10, 643–652, https://doi.org/10.5194/essd-10-643-2018, https://doi.org/10.5194/essd-10-643-2018, 2018
Short summary
Short summary
In order to construct a long-term homogeneous surface air temperature (SAT) series (more than 100 years), based on quality control, interpolation and homogeneity methods, we objectively establish a set of homogenized monthly SAT series in Qingdao, China from 1899 to 2014. Then long-term climate change trends can be described. The SAT in Qingdao has a notable warming of 0.11 °C per decade during 1899–2014. The coldest period occurred in 1909–1918 and the warmest period occurred in 1999–2008.
Cited articles
Belkin, I. M.: Rapid warming of Large Marine Ecosystems, Prog. Oceanogr.,
81, 207–213, 2009.
Belkin, I. M. and Lee, M.-A.: Long-term variability of sea surface temperature in
Taiwan Strait, Clim. Change, 124, 821–834, 2014.
Burrows, M., Schoeman, D., Buckley, L., Moore, P., Poloczanska, E., Brander, K., Brown, C., Bruno, J., Duarte, C., Kiessling, W., O'Connor, M., Pandolfi, J., Parmesan, C., Schwing, F., Sydeman, W., and Richardson, A.: The pace of shifting climate in marine and terrestrial
ecosystems, Science, 334, 652–655, 2011.
Guan, J., Cheung, A., Guo, X., and Li, L.: Intensified upwelling over a
widened shelf in the northeastern South China Sea, J. Geophys. Res., 114, https://doi.org/10.1029/2007JC004660,
2009.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated
high-resolution grids of monthly climatic observations – the CRU TS3.10
dataset, Int. J. Climatol., 34, 623–642, 2014.
Hausfather, Z., Cowtan, K., Menne, M. J., and Williams Jr., C. N.: Evaluating
the impact of U.S. Historical Climatology Network homogenization using the
U.S. Climate Reference Network, Geophys. Res. Lett., 43, 1695–1701, 2016.
Hausfather, Z., Cowtan, K., Clarke, D., Jacobs, P., Richardson, M., and Rohde, R.: Assessing recent warming using instrumentally homogeneous sea surface temperature records, Sci. Adv. 3, e1601207, https://doi.org/10.1126/sciadv.1601207, 2017.
Hickox, R., Belkin, I. M., Cornillon, P., and Shan, Z.: Climatology and seasonal
variability of ocean fronts in the East China, Yellow and Bohai seas from
satellite SST data, Geophys. Res. Lett., 27, 2945–2948, 2000.
Hirahara, S., Ishii, M., and Fukuda, Y.: Centennial-Scale Sea Surface Temperature Analysis and Its Uncertainty, J. Climate, 27,
57–75, 2014.
Honkoop, R. J. C., der Meer, J., Van Beukema, J. J., and Kwast, D.: Does
temperature-influenced egg production predict the recruitment in the bivalve
Macoma Balthica?, Mar. Ecol. Prog. Ser., 64, 229–235, 1998.
Huang, B., Banzon, V., Freeman, J., Lawrimore, J., Liu, W., Peterson, T., Thorne, P., Woodruff, S., and Zhang, H.: Extended Reconstructed Sea Surface Temperature
version 4 (ERSST v4), Part I: Upgrades and intercomparisons, J. Climate,
28, 911–930, 2015.
Ishii, M., Shouji, A., Sugimoto, S., and Matsumoto, T.: Objective analyses
of sea-surface temperature and marine meteorological variables for the 20th
century using ICOADS and the Kobe Collection, Int. J. Climatol., 25,
865–879, 2005.
Kim, K. Y., North, G. R., and Huang, J. P.: EOFs of one dimensional
cyclostationary time series: Computation, examples, and stochastic modeling,
J. Atmos. Sci., 53, 1007–1017, 1996.
Kuglitsch, F. G., Auchmann, R., Bleisch, R., Bronnimann, S., Martius, O., and
Stewart, M.: Break detection of annual Swiss temperature series, J. Geophys.
Res., 117, 1–12, 2012.
Li, Y., Mu, L., Liu, Y. L., Wang, G. S., Zhang, D. S., Li, H., and Han, X.:
Analysis of variability and long-term trends of sea surface temperature over
the China Seas derived from a newly merged regional data set, Clim. Res., 73, 217–231, 2017.
Li, Y., Wang, G. S., Fan, W. J., Liu, K. X., Wang, H., Tinz, B., von Storch,
H., and Feng, J. L.: The homogeneity study of the sea surface temperature
data along the coast of the China Seas, Ac. Ocean. Sin., 40, 17–28, 2018
(in Chinese but with English abstract).
Lima, F. P. and Wethey, D. S.: Three decades of high-resolution coastal sea
surface temperatures reveal more than warming, Nat. Commun., 3, 704, https://doi.org/10.1038/ncomms1713, 2012.
Liu, Q. Y. and Zhang, Q.: Analysis on long-term change of sea surface
temperature in the China Seas, J. Ocean University China, 12, 295–300, 2013.
Mantua, N. J. and Hare, S. R.: The Pacific decadal oscillation, J. Oceanogr.,
58, 35–44, 2002.
Minola, L., Azorin-Molina, C., and Chen, D. L.: Homogenization and
assessment of observed near-surface wind speed trends across Sweden,
1956–2013, J. Climate, 29, 7397–7415, 2016.
Rayner, N. A., Parker, D. F., Horton, E. B., Folland, C., Alexander, L., Rowell, D., Kent, E., and Kaplan, A.: Global analyses of sea
surface temperature, sea ice, and night marine air temperature since the
late nineteenth century, J. Geophys. Res., 108, 1063–1082, 2003.
Reynolds, R. W., Smith, T. M., Liu, C. Y., Chelton, D. B., Casey, K. S., and
Schlax, M.: Daily high-resolution-blended analyses for sea surface
temperature, J. Climate, 20, 5473–5496, 2007.
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., and Yamagata, T.: A dipole
mode in the tropical Indian Ocean, Nature, 401, 360–363, 1999.
Sen, P. K.: Estimates of regression coefficient based on Kendall's tau, J.
Am. Stat. Assoc., 63, 1379–1389, 1968.
Smith, T. M., Reynolds, R. W., Peterson, T. C., and Lawrimore, J.: Improvements
to NOAA's historical merged land-ocean surface temperature analysis
(1880–2006), J. Climate, 21, 2283–2296, 2008.
Su, J., Xu, M., Pohlmann, T., Xu, D., and Wang, D.: A western boundary upwelling
system response to recent climate variation (1960–2006), Cont. Shelf Res.,
57, 3–9, 2012.
Tang, S., von Storch, H., Chen, X., and Zhang, M.: “Noise” in
climatologically driven ocean models with different grid resolution,
Oceanologia, 61, 300–307, https://doi.org/10.1016/j.oceano.2019.01.001, 2019.
Tokinaga, H., Xie, S. P., Deser, C., Kosaka, Y., and Okumura, Y. M.: Slowdown
of the Walker circulation driven by tropical Indo-Pacific warming, Nature,
491, 439–443, 2012.
Vecchi, G. A., Clement, A., and Soden, B. J.: Examining the Tropical Pacific's
Response to Global Warming, EOS T. Am. Geophys. Un., 89, 81–83, 2008.
von Storch, H. and Zwiers, F. W.: Statistical analysis in climate research,
Cambridge University Press, London, 484 pp., 1999.
Wang, Q. Y., Li, Y., Li, Q. Q., and Wang, Y. N.: A comparison and evaluation of two
centennial-scale sea surface temperature datasets in the China Seas and
their adjacent sea areas, J. Trop. Meteor., 24, 452–460, 2018.
Wernberg, T., Bennett, S., Babcock, R. C., Bettignies, T., Cure, K., Depczynski, M., Dufois, F., Fromont, J., Fulton, C. J., Hovey, R. K., Harvey, E. S., Holmes, T. H., Kendrick, G. A., Radford, B., Santana-Garcon, J., Saunders, B. J., Smale, D. A., Thomsen, M. S., Tuckett, C. A., Tuya, F., Vanderklift, M. A., and Wilson, S.: Climate-driven regime shift
of a temperature marine ecosystem, Science, 353, 169–172, 2016.
Wu, L. X., Cai, W. J., Zhang, L. P., Nakamura, H., Timmermann, A., Joyce, T., McPhaden, M. J., Alexander, M., Qiu, B., Visbeck, M., Chang, P., and Giese, B.: Enhanced warming over the
global subtropical west boundary currents, Nat. Clim. Change, 2, 161–166,
2012.
Xie, S. P., Xie, Q., Wang, D., and Liu, W. T.: Summer upwelling in the South
China Sea and its role in regional climate variations, J. Geophys. Res.,
108, 3261, https://doi.org/10.1029/2003JC001867, 2003.
Xie, S. P., Clara, D., Gabriel, A. V., Ma, J., Teng, H. Y., and Andrew, T. W.:
Global warming pattern formation: sea surface temperature and rainfall, J.
Climate, 23, 966–986, 2010.
Xu, W. H., Li, Q. X., Wang, X. L., Yang, S., Cao, L. J., and Feng, Y.:
Homogenization of Chinese daily surface air temperature and analysis of
trends in the extreme temperature indices, J. Geophys. Res., 118,
9708–9720, 2013.
Yan, T. Z.: A preliminary classification of coastal upwellings in the China
Seas. Mar. Sci. Bull., 10, 1–6, 1991 (in Chinese with English abstract).
Yeh, S. W. and Kim, C. H.: Recent warming in the Yellow/East China Sea during
winter and the associated atmospheric circulation, Cont. Shelf Res., 30,
1428–1434, 2010.
Zhao, B. R., Ren, G. F., Cao, D. M., and Yang, Y. L.: Characteristics of the
ecological environment in upwelling area adjacent to the Changjing River
Estuary, Ocean. Lim. Sin., 32, 327–333, 2001 (in Chinese with
English abstract).
Short summary
The main goals are to study the performance of gridded SST datasets in coastal waters by comparing to homogenized in situ SST records. In recognizing that local data may reflect local effects, we focus on the dominant EOFs of the in situ SSTs and localized gridded datasets, examining patterns, variabilities, and trends. We conclude that gridded datasets need improvement in the pre-satellite era by reexamining in detail archives of local SST records in many data-sparse regions.
The main goals are to study the performance of gridded SST datasets in coastal waters by...
