climate variability; past climate; climate reconstruction; historical climatology; climate observations
Brönnimann Stefan, Franke Jörg, Nussbaumer Samuel U., Zumbühl Heinz J., Steiner Daniel, Trachsel Mathias, Hegerl Gabriele C., Schurer Andrew, Worni Matthias, Malik Abdul, Flückiger Julian, Raible Christoph C. (2019), Last phase of the Little Ice Age forced by volcanic eruptions, in Nature Geoscience
, 12(8), 650-656.
Brönnimann Stefan, Frigerio Luca, Schwander Mikhaël, Rohrer Marco, Stucki Peter, Franke Jörg (2019), Causes of increased flood frequency in central Europe in the 19th century, in Climate of the Past
, 15(4), 1395-1409.
Pfister Lucas, Hupfer Franziska, Brugnara Yuri, Munz Lukas, Villiger Leonie, Meyer Lukas, Schwander Mikhaël, Isotta Francesco Alessandro, Rohr Christian, Brönnimann Stefan (2019), Early instrumental meteorological measurements in Switzerland, in Climate of the Past
, 15(4), 1345-1361.
Brönnimann Stefan, Wintzer Jeannine (2019), Climate data empathy, in Wiley Interdisciplinary Reviews: Climate Change
, 10(2), e559-e559.
Brönnimann Stefan, Martius Olivia, Rohr Christian, Bresch David N., Lin Kuan-Hui Elaine (2019), Historical weather data for climate risk assessment, in Annals of the New York Academy of Sciences
, 1436(1), 121-137.
Stucki Peter, Bandhauer Moritz, Heikkilä Ulla, Rössler Ole, Zappa Massimiliano, Pfister Lucas, Salvisberg Melanie, Froidevaux Paul, Martius Olivia, Panziera Luca, Brönnimann Stefan (2018), Reconstruction and simulation of an extreme flood event in the Lago Maggiore catchment in 1868, in Natural Hazards and Earth System Sciences
, 18(10), 2717-2739.
Brönnimann Stefan, Allan Rob, Atkinson Christopher, Buizza Roberto, Bulygina Olga, Dahlgren Per, Dee Dick, Dunn Robert, Gomes Pedro, John Viju O., Jourdain Sylvie, Haimberger Leopold, Hersbach Hans, Kennedy John, Poli Paul, Pulliainen Jouni, Rayner Nick, Saunders Roger, Schulz Jörg, Sterin Alexander, Stickler Alexander, Titchner Holly, Valente Maria Antonia, Ventura Clara, et al. (2018), Observations for Reanalyses, in Bulletin of the American Meteorological Society
, 99(9), 1851-1866.
Brönnimann Stefan, Pfister Christian, White Sam (2018), Archives of Nature and Archives of Societies, Palgrave Macmillan UK, London, 27-36.
Brönnimann Stefan, Brugnara Yuri, Allan Rob J., Brunet Manola, Compo Gilbert P., Crouthamel Richard I., Jones Philip D., Jourdain Sylvie, Luterbacher Jürg, Siegmund Peter, Valente Maria Antónia, Wilkinson Clive W. (2018), A roadmap to climate data rescue services, in Geoscience Data Journal
, 5(1), 28-39.
Brönnimann Stefan, Wintzer Jeannine (2018), Society and history imprint climate data, in Nature
, 554(7693), 423-423.
BrönnimannStefan (2018), 1868 – das Hochwasser, das die Schweiz veränderte: Ursachen, Folgen und Lehren für die Zukunft
, Geographica Bernensia, Bern.
CH2018 (2018), CH2018 – Climate Scenarios for Switzerland, Technical Report
, National Centre for Climate Services, Zurich.
BrönnimannStefan (2018), Nützliche historische Wetterdaten, in GeoAgenda
, 2018(3), 8-12.
Thorne P. W., Allan R. J., Ashcroft L., Brohan P., Dunn R. J. H, Menne M. J., Pearce P. R., Picas J., Willett K. M., Benoy M., Bronnimann S., Canziani P. O., Coll J., Crouthamel R., Compo G. P., Cuppett D., Curley M., Duffy C., Gillespie I., Guijarro J., Jourdain S., Kent E. C., Kubota H., Legg T. P., et al. (2017), Toward an Integrated Set of Surface Meteorological Observations for Climate Science and Applications, in Bulletin of the American Meteorological Society
, 98(12), 2689-2702.
Flückiger Simon, Brönnimann Stefan, Holzkämper Annelie, Fuhrer Jürg, Krämer Daniel, Pfister Christian, Rohr Christian (2017), Simulating crop yield losses in Switzerland for historical and present Tambora climate scenarios, in Environmental Research Letters
, 12(7), 074026-074026.
BrönnimannStefan, Temps et climat en Suisse dans les années 1810, in Annales Valaisannes
The scientific environment surrounding the problems of climate change adaptation and climate risk management is evolving rapidly. With changes in research questions (from mean climate towards extremes), the desire for more regional information and the refinement of impact models, past weather data become once again an important resource. New numerical techniques such as data assimilation are now able to use historical observations to produce comprehensive day-to-day weather reconstruc-tions from which further products can be derived. However, vast amounts of weather data have still not been digitised, including in Switzerland. The Swiss Meteorological Network was initiated in De-cember 1863 and maintained by the Swiss Natural Sciences Society and later MeteoSwiss. The Swiss measurements before 1864 have never been systematically explored. However, the climate of the late 18th and 19th centuries might hold the key for better understanding decadal climate processes as this period encompassed a pronounced (still not understood) warm phase around 1800, the coldest decade of the last 500 years around the “Year Without a Summer” of 1816, another cold phase in the 1830s and a period of increased flood frequency in the second half of the 19th century. These periods had implications for the environment (e.g., glacier advance), society (e.g., famine), and politics (e.g., Swiss forestry law), whose study would contribute to better understand climate-society interaction.Three prominent Swiss series that reach further back than 1864 (Geneva, Basel, Gr. St. Bernard) have recently been digitised based on the original readings. However, there are several additional series, including two long series from Schaffhausen and Bern reaching back to the 18th century and several shorter series from the 18th and 19th centuries. Together, they could substantially extend the available information. In the proposed project we will (1) produce a systematic survey of pre-1864 Swiss meteorological data, (2) digitise a large fraction of these data, (3) perform quality assurance and breakpoint detection, (4) deliver the metadata and data to various Swiss and global data centres and (5) analyse decadal climate variability in Switzerland during the 19th century. The data sets will be sent to several data centres, including the International Surface Pressure Database from which future global reanalysis data sets will be produced. Together with those data sets already digitised and some series in neighbouring countries, the new data series (if their quality permits) will be used to (6) produce daily 2 km gridded weather reconstructions for Switzerland spanning the past ca. 200 years. Two approaches (an Ensemble Kalman Filter approach based on analogs and Reduced Space Optimal Interpolation) will be tested and applied.