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
Principal Investigator of the Center of Excellence CLISAP
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
中文简介
Follow me on Academia.edu ResearcherID J-4165-2012: h = 47 ORCID




News
Books of Hans von Storch
  • 11 August 2017 - The manuscript "Has spectral nudging an effect for dynamical downscaling applied in small regional model domains?", coauthored by Benjamin Schaaf, Hans von Storch, and Frauke Feser has been accepted for publication by Monthly Weather Review.
    The abstract reads: Spectral nudging is a method which was developed to constrain regional climate models so that they reproduce the development of the large-scale atmospheric state, while permitting the formation of regional-scale details as conditioned by the large-scales. Besides keeping the large-scale development in the interior close to a given state, the method also suppresses the emergence of ensemble variability. The method is mostly applied to reconstructions of past weather developments in regions with an extension of typically 1000-8000 kilometers.
    In this article, we examine if spectral nudging is having an effect on simulations with model regions of the size of about 700 km x 500 km at mid-latitudes located mainly over flat terrain. We first compare two pairs of simulations, two runs each with and without spectral nudging, and find that the four simulations are very similar, without systematic or intermittent phases of divergence. Smooth fields, which are mainly determined by spatial patterns, such as air pressure show hardly any differences, while small-scale and heterogeneous fields such as precipitation vary strongly, mostly on the grid-point scale, irrespective if spectral nudging is employed or not. We conclude that the application of spectral nudging has little effect on the simulation when the model region is relatively small.

    The article goes with doi:10.1175/MWR-D-17-0087.1

  • 10 August 2017 - ResarchGate informs that the book "Statistical Analysis in Climate Research" by Hans von Storch and Francis W. Zwiers, publishd by Cambridge University Press has been cited 2500 times.

  • 5. August 2017 - Der Aufsatz Demokratische Willensbildung – die Rolle der (Klima)forschung von Hans von Storch ist jetzt im IABLIS Jahrbuch für europäische Prozesse - Thema 2017: Die (leid)geprüfte Demokratie online erschienen.

  • 31 July 2017 - Hans von Storch has been invited to serve another four years until 2021 on the editorial board of the Polish journal Oceanologia.

  • 29 July 2017 - ResearchGate has logged 250 citations for this article:
    Zwiers, F.W., and H. von Storch, 1995: Taking serial correlation into account in tests of the mean. - J. Climate 8, 336-351

  • 27 July 2017 - ResearchGate informs that the article
    von Storch, H., G. Bürger, R. Schnur, and J. von Storch, 1995: Principal Oscillation Pattern: A review. - J. Climate 8, 377-400
    has been cited 100 times.

  • 27 July 2017 - The paper "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) coauthored by 李琰 (Li Y.), 王国松 (Wang G.), 范文静 (Fan W.), B. Tinz and H. von Storch has been accepted for publication by Acta Oceanologica Sinica, and will be published in January 2018
    The abstract, after translation from Chinese, 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.

  • 26 July 2017 - The paper "Regional re-analysis without local data - exploiting the downscaling paradigm" co-authored by H. von Storch, F. Feser, B. Geyer, K. Klehmet, Li D., B. Rockel, M. Schubert-Frisius, N. Tim, and E. Zorita has been accepted for publication by J. Geophys. Res. - Atmospheres.
    The abstract reads: This paper demonstrates two important aspects of regional dynamical downscaling of multi-decadal atmospheric re-analysis. First, that in this way skillful regional descriptions of multi-decadal climate variability may be constructed in regions with little or no local data. Secondly, that the concept of large-scale constraining allows global downscaling, so that global re-analyses may be completed by additions of consistent detail in all regions of the world.
    Global re-analyses suffer from inhomogeneities. However, their large-scale componenst are mostly homogeneous; Therefore, the concept of downscaling may be applied to homogeneously complement the large-scale state of the re-analyses with regional detail – wherever the condition of homogeneity of the description of large scales is fulfilled.
    Technically this can be done by dynamical downscaling using a regional or global climate model, which’s large scales are constrained by spectral nudging. This approach has been developed and tested for the region of Europe, and a skillful representation of regional weather risks – in particular marine risks – was identified. We have run this system in regions with reduced or absent local data coverage, such as Central Siberia, the Bohai and Yellow Sea, Southwestern Africa and the South Atlantic. Also a global simulation was computed, which adds regional features to prescribed global dynamics. Our cases demonstrate that spatially detailed reconstructions of the climate state and its change in the recent three to six decades add useful supplementary information to existing observational data for mid-latitude and sub-tropical regions of the world.

  • 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 18 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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