Foto vom Storch

Dr. Hans von Storch

Director emeritus of Institute for Coastal Research of the Helmholtz-Zentrum Geesthacht - Zentrum für Material- und Küstenforschung in Geesthacht (previously: GKSS Research Center)
Professor at the Meteorological Institute
and member of the Faculty of Social Sciences
of the University of Hamburg
Editor-in-Chief of
Oxford University Press Research Encyclopedia Climate Science
Guest professor at
Ocean University of China 中国海洋大学
Foreign member of
Polish Academy of Sciences
Doctor honoris causa
of Göteborgs Universitet
Recipient of
Östersjöfondens pris 2014

News peer reviewed publications
on Hans von Storch other publications conferences, public talks
intellectual achievements books Beiträge in Zeitungen
adresses story of the Climate Research affair in 2003 Weblog Klimazwiebel
Follow me on ResearcherID J-4165-2012: h = 48 ORCID
Special issue of ATMOSPHERE: "Storms, Jets and Other Meteorological Phenomena in Coastal Seas"
Publication Project "Modelling, Simulating and Forecasting Regional Climate and Weather" at FRONTIER.

Books of Hans von Storch
  • 19 February 2018 - The paper by Li Y., Tinz, B., von Storch, H., Wang Q., and Zhou Q. Construction of surface air temperature series of Qingdao in China for the period 1899 to 2014 has been accepted for publication by Earth System Science Data (
    The Abstract reads: We present a homogenized time series surface air temperature at 2?meters (SAT) for the city of Qingdao in China from 1899 to 2014. This series is derived from three data sources: newly digitized and homogenized observations of German National Meteorological Service from 1899 to 1913; National observation data of China Meteorological Administration (CMA) from 1961–2014 and a gridded data set of Willmott and Matsuura in Delaware to fill the gap from 1914 to 1959. Based on this new series, long-term trends are described. The SAT in Qingdao has a significant warming trend of 0.11?°C (10 yr)-1 during 1899–2014. The coldest period occurred in 1909–1918 and the warmest period occurred in 1999–2008. For the seasonal mean SAT, the most significant warming can be found in spring, followed by winter. Access to the data is provided in excel and archived by Deutscher Wetterdienst (DWD) web page under overseas stations of the Deutsche Seewarte ( or be freely available at

  • 27 January 2017 - eventually the article The Normative Orientations of Climate Scientists by Dennis Bray and Hans von Storch has been published in Science and Engineering Ethics 23:1351–1367 (DOI 10.1007/s11948-014-9605-1). It was first published online on 8 November 2014.
    The Abstract reads: In 1942 Robert K. Merton tried to demonstrate the structure of the normative system of science by specifying the norms that characterized it. The norms were assigned the abbreviation CUDOs: Communism, Universalism, Disinterestedness, and Organized skepticism. Using the results of an on-line survey of climate scientists concerning the norms of science, this paper explores the climate scientists’ subscription to these norms. The data suggests that while Merton’s CUDOs remain the overall guiding moral principles, they are not fully endorsed or present in the conduct of climate scientists: there is a tendency to withhold results until publication, there is the intention of maintaining property rights, there is external influence defining research and the tendency to assign the significance of authored work according to the status of the author rather than content of the paper. These are contrary to the norms of science as proposed by Robert K. Merton.

  • 24. Januar 2018 - Der Vortrag "Klimaforschung in Hamburg" im Rahmen der Ringvorlesung "(Fast) 100 Jahre Universität Hamburg, Teil 2", ist nun als Videoaufnhame verfügbar

  • The paper 李琰 (Li Y.), 王国松 (Wang G.), 范文静 (Fan W.), B. Tinz and H. von Storch, 2018: 中国沿海海表温度均一性检验和订正 (The homogeneity study of the sea surface temperature data along the coast of the China Seas). has been published by Acta Oceanologica Sinica/Haiyang Xuebao 40(1):17—28, doi:10.3969/j.issn.0253-4193.2018.01.003
    The abstract reads: The monthly sea surface temperature (SST) data of 27 marine observation stations have been detected and adjusted by the Penalized Maximal test (PMT) and the detailed metadata archive. In this study, the homogenous surface air temperature (SAT) data from neighboring meteorological observation stations are used to construct the reference series by correlation coefficient weighted averaged method. Results show that almost all of the stations along coast of the China Seas, the inhomogenities or change points can be detected. Combined with the detailed metadata of each station, the main reasons causing the inhomogenization problems are instrument change (including the change from artificial observation to automations) and relocation, accounting for about 52.4% and 33.3% of the total change points. It is also found that the annual mean SST trend has changed obviously and homogeneity is improved well after adjustment. The warming rate of SST series along the coast of the China Seas after adjustment is much larger than that before adjustment. This phenomenon links tightly to the SST decreasing after automation which leads to the large proportion of negative correction values.

  • After one month, "news" are moved to this archive.

    Hans von Storch is interested in coastal climate and impact (wind, storm surges and waves) in recent times and in possible futures, and methodical issues of statistical climatology (such as detection and attribution of anthropogenic climate change, or utility of proxy data). He is also engaged in joint research with social and cultural scientists since many years.

    Hans von Storch has published 20 books, and numerous articles. He is member of the advisory/review board of Journal of Climate. In Poland, he serves on the editorial boards of Oceanologia, Meteorology, Hydrology and Water Management Research and Operational Applications", and the “Papers on Global Change, IGBP”. He is a member of the Senior Advisory Board of Baltic Earth (the successor of the BALTEX program).
    He chaired the preparation of the 1st and 2nd BACC report and the 1st and 2nd "Klimabericht für die Metropolregion Hamburg" (see here). After having served as a Lead Author for Working Group I of IPCC TAR, he acted as a Lead Author of Chapter 2 "Foundations of Decision Making" of Working Group II of IPCC AR5.

    Hans studied mathematics, physics and Danish at the University of Hamburg, and received a diploma in mathematics in 1976. While a student he also worked as a programmer at the Department of Oceanography. He went on to receive his Ph.D. from the Meteorological Department of the University of Hamburg in 1979, and his "Habilitation" in 1985. From 1987 - 1995, he was Senior Scientist and leader of the "Statistical Analysis and Modelling" group at the Max Planck-Institut for Meteorology (Hasselmann division). During 1996-2015, Hans von Storch was director of what became later the Institute for Coastal Research at the GKSS Research Centre (now Helmholtz Center Geesthacht) and professor at the Meteorological Institute of the University of Hamburg. Within the Institute for Coastal Research, he headed the division "Systems Analysis and Modelling" until September 2015. In October 2008, he was awarded a doctor h.c. by Göteborgs Universitet, and in May 2013 he was elected a foreign member of the Polish Academy of Sciences.

    He is married to Dr. Jin-Song von Storch (徐劲松).

    During his academic life, which began in about 1976, Hans von Storch made a number of intellectual achievements. (Werner Krauss wrote a nice subjective piece about his role and his achievements; see also Sven Titz' "Klimawissenschaft zwischen Skylla und Charybdis" in NZZ, 27. January 2010. An overview of work is also given by the citation of the IMSC achievement award "to recognize his key contributions to statistical downscaling, reconstruction of temperature series, analyses of climatic variability, and detection and attribution of climate change". See also Quotes.)
    See also the web-of-science based Researcher ID or the Google Scholar citation tool


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