Articles | Volume 16, issue 2
https://doi.org/10.5194/cp-16-663-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-16-663-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Apr 2020
Research article |
| 02 Apr 2020
Statistical reconstruction of daily precipitation and temperature fields in Switzerland back to 1864
Lucas Pfister
CORRESPONDING AUTHOR
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute of Geography, University of Bern, Bern, Switzerland
Stefan Brönnimann
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute of Geography, University of Bern, Bern, Switzerland
Mikhaël Schwander
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
Francesco Alessandro Isotta
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
Pascal Horton
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute of Geography, University of Bern, Bern, Switzerland
Christian Rohr
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute of History, University of Bern, Bern, Switzerland
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Publication in NHESS not foreseen
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This work investigates the formation of a hailstorm over the Tropical Bolivian Andes. Using the WRF atmospheric model, we are able to numerically reconstruct it and we assess the main factors (mountains, lake and surface heating) in the storm formation. We propose physical mechanisms that have the potential to improve the forecasting of similar events; which are known to have a big impact over the Bolivian Altiplano, especially the region near Titicaca lake.
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Short summary
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A catastrophic flood south of the Alps in 1868 is assessed using documents and the earliest example of high-resolution weather simulation. Simulated weather dynamics agree well with observations and damage reports. Simulated peak water levels are biased. Low forest cover did not cause the flood, but such a paradigm was used to justify afforestation. Supported by historical methods, such numerical simulations allow weather events from past centuries to be used for modern hazard and risk analyses.
Stefan Brönnimann, Jan Rajczak, Erich M. Fischer, Christoph C. Raible, Marco Rohrer, and Christoph Schär
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We used a new classification of daily weather patterns to analyse the influence of solar variability (11-year cycle) on European climate from 1763 to 2009. The analysis of the weather patterns occurrences shows a reduction in the number of days with a westerly flow over Europe under low solar activity during late winter. In parallel, the number of days with an easterly flow increases. Based on these results we expect colder winter over Europe under low solar activity.
Pascal Horton, Charles Obled, and Michel Jaboyedoff
Hydrol. Earth Syst. Sci., 21, 3307–3323, https://doi.org/10.5194/hess-21-3307-2017, https://doi.org/10.5194/hess-21-3307-2017, 2017
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The analogue method aims at forecasting precipitation by means of a statistical relationship with meteorological variables at a large scale, such as the general atmospheric circulation. A moving time window has been introduced here in order to allow finding better analogue situations at different hours of the day. This change resulted in a better analogy of the atmospheric circulation, with improved prediction skills, and even to a greater extent for days with heavy precipitation.
Martin Wegmann, Yvan Orsolini, Emanuel Dutra, Olga Bulygina, Alexander Sterin, and Stefan Brönnimann
The Cryosphere, 11, 923–935, https://doi.org/10.5194/tc-11-923-2017, https://doi.org/10.5194/tc-11-923-2017, 2017
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We investigate long-term climate reanalyses datasets to infer their quality in reproducing snow depth values compared to in situ measured data from meteorological stations that go back to 1900. We found that the long-term reanalyses do a good job in reproducing snow depths but have some questionable snow states early in the 20th century. Thus, with care, climate reanalyses can be a valuable tool to investigate spatial snow evolution in global warming and climate change studies.
Stefan Brönnimann, Abdul Malik, Alexander Stickler, Martin Wegmann, Christoph C. Raible, Stefan Muthers, Julien Anet, Eugene Rozanov, and Werner Schmutz
Atmos. Chem. Phys., 16, 15529–15543, https://doi.org/10.5194/acp-16-15529-2016, https://doi.org/10.5194/acp-16-15529-2016, 2016
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The Quasi-Biennial Oscillation is a wind oscillation in the equatorial stratosphere. Effects on climate have been found, which is relevant for seasonal forecasts. However, up to now only relatively short records were available, and even within these the climate imprints were intermittent. Here we analyze a 108-year long reconstruction as well as four 405-year long simulations. We confirm most of the claimed QBO effects on climate, but they are small, which explains apparently variable effects.
Chantal Camenisch, Kathrin M. Keller, Melanie Salvisberg, Benjamin Amann, Martin Bauch, Sandro Blumer, Rudolf Brázdil, Stefan Brönnimann, Ulf Büntgen, Bruce M. S. Campbell, Laura Fernández-Donado, Dominik Fleitmann, Rüdiger Glaser, Fidel González-Rouco, Martin Grosjean, Richard C. Hoffmann, Heli Huhtamaa, Fortunat Joos, Andrea Kiss, Oldřich Kotyza, Flavio Lehner, Jürg Luterbacher, Nicolas Maughan, Raphael Neukom, Theresa Novy, Kathleen Pribyl, Christoph C. Raible, Dirk Riemann, Maximilian Schuh, Philip Slavin, Johannes P. Werner, and Oliver Wetter
Clim. Past, 12, 2107–2126, https://doi.org/10.5194/cp-12-2107-2016, https://doi.org/10.5194/cp-12-2107-2016, 2016
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Throughout the last millennium, several cold periods occurred which affected humanity. Here, we investigate an exceptionally cold decade during the 15th century. The cold conditions challenged the food production and led to increasing food prices and a famine in parts of Europe. In contrast to periods such as the “Year Without Summer” after the eruption of Tambora, these extreme climatic conditions seem to have occurred by chance and in relation to the internal variability of the climate system.
Philip Brohan, Gilbert P. Compo, Stefan Brönnimann, Robert J. Allan, Renate Auchmann, Yuri Brugnara, Prashant D. Sardeshmukh, and Jeffrey S. Whitaker
Clim. Past Discuss., https://doi.org/10.5194/cp-2016-78, https://doi.org/10.5194/cp-2016-78, 2016
Preprint withdrawn
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We have used modern weather forecasting tools to reconstruct the dreadful European weather of 200 years ago – 1816 was the ‘year without a summer’; harvests failed, and people starved. We can show that 1816’s extreme climate was caused by the eruption of the Tambora volcano the previous year. This means we have some chance of predicting such extreme summers if they occur in future, though this is still a challenge to today’s forecast models.
Y. Brugnara, R. Auchmann, S. Brönnimann, R. J. Allan, I. Auer, M. Barriendos, H. Bergström, J. Bhend, R. Brázdil, G. P. Compo, R. C. Cornes, F. Dominguez-Castro, A. F. V. van Engelen, J. Filipiak, J. Holopainen, S. Jourdain, M. Kunz, J. Luterbacher, M. Maugeri, L. Mercalli, A. Moberg, C. J. Mock, G. Pichard, L. Řezníčková, G. van der Schrier, V. Slonosky, Z. Ustrnul, M. A. Valente, A. Wypych, and X. Yin
Clim. Past, 11, 1027–1047, https://doi.org/10.5194/cp-11-1027-2015, https://doi.org/10.5194/cp-11-1027-2015, 2015
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A data set of instrumental pressure and temperature observations for the early instrumental period (before ca. 1850) is described. This is the result of a digitisation effort involving the period immediately after the eruption of Mount Tambora in 1815, combined with the collection of already available sub-daily time series. The highest data availability is therefore for the years 1815 to 1817. An analysis of pressure variability and of case studies in Europe is performed for that period.
P. Stucki, S. Brönnimann, O. Martius, C. Welker, M. Imhof, N. von Wattenwyl, and N. Philipp
Nat. Hazards Earth Syst. Sci., 14, 2867–2882, https://doi.org/10.5194/nhess-14-2867-2014, https://doi.org/10.5194/nhess-14-2867-2014, 2014
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This catalog contains 240 (8 extreme) high-impact windstorms in Switzerland since 1859 in 3 severity classes. Validation with independent wind and damage data reveals that the most hazardous winter storms are captured, while too few moderate windstorms may be detected. We find evidence of high winter storm activity in the early and late 20th century compared to the mid-20th century in both damage and wind data. This indicates a covariability of hazard and related damages on decadal timescales.
K. Willett, C. Williams, I. T. Jolliffe, R. Lund, L. V. Alexander, S. Brönnimann, L. A. Vincent, S. Easterbrook, V. K. C. Venema, D. Berry, R. E. Warren, G. Lopardo, R. Auchmann, E. Aguilar, M. J. Menne, C. Gallagher, Z. Hausfather, T. Thorarinsdottir, and P. W. Thorne
Geosci. Instrum. Method. Data Syst., 3, 187–200, https://doi.org/10.5194/gi-3-187-2014, https://doi.org/10.5194/gi-3-187-2014, 2014
S. Muthers, J. G. Anet, A. Stenke, C. C. Raible, E. Rozanov, S. Brönnimann, T. Peter, F. X. Arfeuille, A. I. Shapiro, J. Beer, F. Steinhilber, Y. Brugnara, and W. Schmutz
Geosci. Model Dev., 7, 2157–2179, https://doi.org/10.5194/gmd-7-2157-2014, https://doi.org/10.5194/gmd-7-2157-2014, 2014
I. Mariani, A. Eichler, T. M. Jenk, S. Brönnimann, R. Auchmann, M. C. Leuenberger, and M. Schwikowski
Clim. Past, 10, 1093–1108, https://doi.org/10.5194/cp-10-1093-2014, https://doi.org/10.5194/cp-10-1093-2014, 2014
L. Ramella Pralungo, L. Haimberger, A. Stickler, and S. Brönnimann
Earth Syst. Sci. Data, 6, 185–200, https://doi.org/10.5194/essd-6-185-2014, https://doi.org/10.5194/essd-6-185-2014, 2014
J. G. Anet, S. Muthers, E. V. Rozanov, C. C. Raible, A. Stenke, A. I. Shapiro, S. Brönnimann, F. Arfeuille, Y. Brugnara, J. Beer, F. Steinhilber, W. Schmutz, and T. Peter
Clim. Past, 10, 921–938, https://doi.org/10.5194/cp-10-921-2014, https://doi.org/10.5194/cp-10-921-2014, 2014
P. Breitenmoser, S. Brönnimann, and D. Frank
Clim. Past, 10, 437–449, https://doi.org/10.5194/cp-10-437-2014, https://doi.org/10.5194/cp-10-437-2014, 2014
F. Arfeuille, D. Weisenstein, H. Mack, E. Rozanov, T. Peter, and S. Brönnimann
Clim. Past, 10, 359–375, https://doi.org/10.5194/cp-10-359-2014, https://doi.org/10.5194/cp-10-359-2014, 2014
A. Stickler, S. Brönnimann, S. Jourdain, E. Roucaute, A. Sterin, D. Nikolaev, M. A. Valente, R. Wartenburger, H. Hersbach, L. Ramella-Pralungo, and D. Dee
Earth Syst. Sci. Data, 6, 29–48, https://doi.org/10.5194/essd-6-29-2014, https://doi.org/10.5194/essd-6-29-2014, 2014
F. Arfeuille, B. P. Luo, P. Heckendorn, D. Weisenstein, J. X. Sheng, E. Rozanov, M. Schraner, S. Brönnimann, L. W. Thomason, and T. Peter
Atmos. Chem. Phys., 13, 11221–11234, https://doi.org/10.5194/acp-13-11221-2013, https://doi.org/10.5194/acp-13-11221-2013, 2013
J. G. Anet, S. Muthers, E. Rozanov, C. C. Raible, T. Peter, A. Stenke, A. I. Shapiro, J. Beer, F. Steinhilber, S. Brönnimann, F. Arfeuille, Y. Brugnara, and W. Schmutz
Atmos. Chem. Phys., 13, 10951–10967, https://doi.org/10.5194/acp-13-10951-2013, https://doi.org/10.5194/acp-13-10951-2013, 2013
A. Stenke, C. R. Hoyle, B. Luo, E. Rozanov, J. Gröbner, L. Maag, S. Brönnimann, and T. Peter
Atmos. Chem. Phys., 13, 9713–9729, https://doi.org/10.5194/acp-13-9713-2013, https://doi.org/10.5194/acp-13-9713-2013, 2013
S. Brönnimann, J. Bhend, J. Franke, S. Flückiger, A. M. Fischer, R. Bleisch, G. Bodeker, B. Hassler, E. Rozanov, and M. Schraner
Atmos. Chem. Phys., 13, 9623–9639, https://doi.org/10.5194/acp-13-9623-2013, https://doi.org/10.5194/acp-13-9623-2013, 2013
S. Brönnimann, I. Mariani, M. Schwikowski, R. Auchmann, and A. Eichler
Clim. Past, 9, 2013–2022, https://doi.org/10.5194/cp-9-2013-2013, https://doi.org/10.5194/cp-9-2013-2013, 2013
Y. Brugnara, S. Brönnimann, J. Luterbacher, and E. Rozanov
Atmos. Chem. Phys., 13, 6275–6288, https://doi.org/10.5194/acp-13-6275-2013, https://doi.org/10.5194/acp-13-6275-2013, 2013
P. Horton, M. Jaboyedoff, B. Rudaz, and M. Zimmermann
Nat. Hazards Earth Syst. Sci., 13, 869–885, https://doi.org/10.5194/nhess-13-869-2013, https://doi.org/10.5194/nhess-13-869-2013, 2013
Related subject area
Subject: Climate Modelling | Archive: Historical Records | Timescale: Instrumental Period
Building a long-time series for weather and extreme weather in the Straits Settlements: a multi-disciplinary approach to the archives of societies
Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model
Signal detection in global mean temperatures after “Paris”: an uncertainty and sensitivity analysis
Climate of migration? How climate triggered migration from southwest Germany to North America during the 19th century
Jens Esmark's Christiania (Oslo) meteorological observations 1816–1838: the first long-term continuous temperature record from the Norwegian capital homogenized and analysed
Influence of proxy data uncertainty on data assimilation for the past climate
Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France
Fiona Williamson
Clim. Past, 17, 791–803, https://doi.org/10.5194/cp-17-791-2021, https://doi.org/10.5194/cp-17-791-2021, 2021
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This paper focuses on the recovery of instrumental weather records available for Singapore and Malaysia (Straits Settlements) from the late 1780s to 1917. Taking a historical approach, the paper explores the types of records available, the circumstances of their production and their value to the scientific community.
Bijan Fallah, Emmanuele Russo, Walter Acevedo, Achille Mauri, Nico Becker, and Ulrich Cubasch
Clim. Past, 14, 1345–1360, https://doi.org/10.5194/cp-14-1345-2018, https://doi.org/10.5194/cp-14-1345-2018, 2018
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We try to test and evaluate an approach for using two main sources of information on the climate of the past: climate model simulations and proxies. This is done via data assimilation (DA), a method that blends these two sources of information in an intelligent way. However, DA and climate models are computationally very expensive. Here, we tested the ability of a computationally affordable DA to reconstruct high-resolution climate fields.
Hans Visser, Sönke Dangendorf, Detlef P. van Vuuren, Bram Bregman, and Arthur C. Petersen
Clim. Past, 14, 139–155, https://doi.org/10.5194/cp-14-139-2018, https://doi.org/10.5194/cp-14-139-2018, 2018
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In December 2015, 195 countries agreed in Paris to hold the increase in global temperature well below 2.0 °C. However, the Paris Agreement is not conclusive as regards methods to calculate it. To find answers to these questions we performed an uncertainty and sensitivity analysis where datasets, model choices, choices for pre-industrial and warming definitions have been varied. Based on these findings we propose an estimate for signal progression in global temperature since pre-industrial time.
Rüdiger Glaser, Iso Himmelsbach, and Annette Bösmeier
Clim. Past, 13, 1573–1592, https://doi.org/10.5194/cp-13-1573-2017, https://doi.org/10.5194/cp-13-1573-2017, 2017
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This paper presents the extent to which climate, harvest and prices influenced the major migration waves from southwest Germany into North America during the 19th century, a century of dramatic climatic and societal changes.
Geir Hestmark and Øyvind Nordli
Clim. Past, 12, 2087–2106, https://doi.org/10.5194/cp-12-2087-2016, https://doi.org/10.5194/cp-12-2087-2016, 2016
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The detailed and continuous meteorological observations of Jens Esmark from the capital of Norway in the period 1816 to 1838 are evaluated, homogenized and reanalysed with modern methods to characterize the weather in Oslo in this period.
Anastasios Matsikaris, Martin Widmann, and Johann Jungclaus
Clim. Past, 12, 1555–1563, https://doi.org/10.5194/cp-12-1555-2016, https://doi.org/10.5194/cp-12-1555-2016, 2016
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We have assimilated proxy-based (PAGES 2K) and instrumental (HadCRUT3v) observations into a General Circulation Model (MPI-ESM-CR). Assimilating instrumental data improves the performance of Data Assimilation. No skill on small spatial scales is however found for either of the two schemes. Errors in the assimilated data are therefore not the main reason for this lack of skill; continental mean temperatures cannot provide skill on small spatial scales in palaeoclimate reconstructions.
Laurie Caillouet, Jean-Philippe Vidal, Eric Sauquet, and Benjamin Graff
Clim. Past, 12, 635–662, https://doi.org/10.5194/cp-12-635-2016, https://doi.org/10.5194/cp-12-635-2016, 2016
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This paper describes a daily high-resolution reconstruction of precipitation and temperature fields in France from 1871 onwards. A statistical method linking atmospheric circulation to local precipitation is refined for taking advantage of recently published global long-term atmospheric and oceanic reconstructions. The resulting data set allows filling in the spatial and temporal data gaps in historical surface observations, and improving our knowledge on the local-scale climate variability.
Cited articles
Angus, J. E.: The Probability Integral Transform and Related Results,
SIAM Rev., 36, 652–654, https://doi.org/10.1137/1036146, 1994. a
Barnett, T. P. and Preisendorfer, R. W.: Multifield Analog Prediction of
Short-Term Climate Fluctuations Using a Climate State vector,
J. Atmos. Sci., 35, 1771–1787,
https://doi.org/10.1175/1520-0469(1978)035<1771:MAPOST>2.0.CO;2,
1978. a
Begert, M.: Die Repräsentativität der Stationen im Swiss National
Basic Climatological Network (Swiss NBCN), Arbeitsberichte der
MeteoSchweiz, 217, 2008. a
Begert, M., Schlegel, T., and Kirchhofer, W.: Homogeneous temperature and
precipitation series of Switzerland from 1864 to 2000,
Int. J. Climatol., 25, 65–80, https://doi.org/10.1002/joc.1118, 2005. a
Begert, M., Seiz, G., Foppa, N., Schlegel, T., Appenzeller, C., and Müller,
G.: Die Überführung der klimatologischen Referenzstationen der Schweiz
in das Swiss National Basic Climatological Network (Swiss
NBCN), Arbeitsberichte der MeteoSchweiz, 215, 2007. a
Ben Daoud, A., Sauquet, E., Bontron, G., Obled, C., and Lang, M.: Daily
quantitative precipitation forecasts based on the analogue method:
Improvements and application to a French large river basin,
Atmos. Res., 169, 147–159, https://doi.org/10.1016/j.atmosres.2015.09.015, 2016. a
Bhend, J., Franke, J., Folini, D., Wild, M., and Brönnimann, S.: An ensemble-based approach to climate reconstructions, Clim. Past, 8, 963–976, https://doi.org/10.5194/cp-8-963-2012, 2012. a, b
Brugnara, Y., Brönnimann, S., Zamuriano, M., Schild, J., Rohr, C., and
Segesser, D. M.: Reanalysis sheds light on 1916 avalanche disaster, ECMWF
Newsletter, https://doi.org/10.21957/h9b197,
2017. a
Brönnimann, S., Rohr, C., Stucki, P., Summermatter, S., Bandhauer, M., Barton,
Y., Fischer, A., Froidevaux, P. A., Germann, U., Grosjean, M., Hupfer, F.,
Ingold, K., Isotta, F., Keiler, M., Martius, O., Messmer, M. B., Mülchi,
R. I., Panziera, L., Pfister, L. M., Raible, C., Reist, T., Rössler, O. K.,
Röthlisberger, V. E., Scherrer, S. C., Weingartner, R., Zappa, M.,
Zimmermann, M., and Zischg, A. P.: 1868 – das Hochwasser, das die Schweiz
veränderte. Ursachen, Folgen und Lehren für die Zukunft,
info:eu-repo/semantics/report, Geographica Bernensia, Bern,
https://doi.org/10.4480/GB2018.G94.01,
2018. a
Burgers, G., van Leeuwen, P. J., and Evensen, G.: Analysis Scheme in the
Ensemble Kalman Filter, Mon. Weather Rev., 126, 1719–1724,
https://doi.org/10.1175/1520-0493(1998)126<1719:ASITEK>2.0.CO;2,
1998. a
Caillouet, L., Vidal, J.-P., Sauquet, E., and Graff, B.: Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France, Clim. Past, 12, 635–662, https://doi.org/10.5194/cp-12-635-2016, 2016. a
Caillouet, L., Vidal, J.-P., Sauquet, E., Graff, B., and Soubeyroux, J.-M.: SCOPE Climate: a 142-year daily high-resolution ensemble meteorological reconstruction dataset over France, Earth Syst. Sci. Data, 11, 241–260, https://doi.org/10.5194/essd-11-241-2019, 2019. a
Cannon, A. J.: Multivariate quantile mapping bias correction: an
N-dimensional probability density function transform for climate model
simulations of multiple variables, Clim. Dynam., 50, 31–49,
https://doi.org/10.1007/s00382-017-3580-6, 2018. a
Cannon, A. J., Sobie, S. R., and Murdock, T. Q.: Bias Correction of GCM
Precipitation by Quantile Mapping: How Well Do Methods
Preserve Changes in Quantiles and Extremes?, J. Climate, 28,
6938–6959, https://doi.org/10.1175/JCLI-D-14-00754.1, 2015. a
Daley, R.: Atmospheric data analysis, vol. 2 of Cambridge atmospheric and
space science series, Cambridge Univ. Press, Cambridge, 1. paperback ed.,
reprinted, transferred to digital print edn., 1999. a
Evensen, G.: Sequential data assimilation with a nonlinear quasi-geostrophic
model using Monte Carlo methods to forecast error statistics,
J. Geophys. Res., 99, 10143, https://doi.org/10.1029/94JC00572, 1994. a
Flückiger, S., Brönnimann, S., Holzkämper, A., Fuhrer, J., Krämer, D.,
Pfister, C., and Rohr, C.: Simulating crop yield losses in Switzerland for
historical and present Tambora climate scenarios,
Environ. Res. Lett., 12, 074026, https://doi.org/10.1088/1748-9326/aa7246, 2017. a, b, c, d
Franke, J., González-Rouco, J. F., Frank, D., and Graham, N. E.: 200 years of
European temperature variability: insights from and tests of the proxy
surrogate reconstruction analog method, Clim. Dynam., 37, 133–150,
https://doi.org/10.1007/s00382-010-0802-6, 2011. a
Franke, J., Brönnimann, S., Bhend, J., and Brugnara, Y.: A monthly global
paleo-reanalysis of the atmosphere from 1600 to 2005 for studying past
climatic variations, Scientific data, 4, 170076,
https://doi.org/10.1038/sdata.2017.76, 2017. a, b, c
Frei, C.: Interpolation of temperature in a mountainous region using nonlinear
profiles and non-Euclidean distances, Int. J. Climatol.,
34, 1585–1605, https://doi.org/10.1002/joc.3786, 2014. a
Füllemann, C., Begert, M., and Croci-Maspoli, M., Brönnimann, S.:
Digitalisieren und Homogenisieren von historischen Klimadaten des Swiss
NBCN: Resultate aus DigiHom, Arbeitsberichte der MeteoSchweiz, 236,
2011. a
Graham, N. E., Hughes, M. K., Ammann, C. M., Cobb, K. M., Hoerling, M. P.,
Kennett, D. J., Kennett, J. P., Rein, B., Stott, L., Wigand, P. E., and Xu,
T.: Tropical Pacific – mid-latitude teleconnections in medieval times,
Climatic Change, 83, 241–285, https://doi.org/10.1007/s10584-007-9239-2, 2007. a
Gudmundsson, L., Bremnes, J. B., Haugen, J. E., and Engen-Skaugen, T.: Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods, Hydrol. Earth Syst. Sci., 16, 3383–3390, https://doi.org/10.5194/hess-16-3383-2012, 2012. a, b, c, d, e
Horton, P., Jaboyedoff, M., Metzger, R., Obled, C., and Marty, R.: Spatial relationship between the atmospheric circulation and the precipitation measured in the western Swiss Alps by means of the analogue method, Nat. Hazards Earth Syst. Sci., 12, 777–784, https://doi.org/10.5194/nhess-12-777-2012, 2012. a
Horton, P., Obled, C., and Jaboyedoff, M.: The analogue method for precipitation prediction: finding better analogue situations at a sub-daily time step, Hydrol. Earth Syst. Sci., 21, 3307–3323, https://doi.org/10.5194/hess-21-3307-2017, 2017. a, b
Jarvis, A., Reuter, H. I., Nelson, A., and Guevara, E.: Hole-filled seamless
SRTM data V4, International Centre for Tropical Agriculture
(CIAT), available at: http://srtm.csi.cgiar.org/ (last access: 4 February 2020), 2008. a
Jennings, K. S., Winchell, T. S., Livneh, B., and Molotch, N. P.: Spatial
variation of the rain-snow temperature threshold across the Northern
Hemisphere, Nat. Commun., 9, 1148,
https://doi.org/10.1038/s41467-018-03629-7, 2018. a
Jolliffe, I. T. and Stephenson, D. B. (Eds.): Forecast verification: A
practitioner's guide in atmospheric science, Wiley-Blackwell, Chichester,
UK, 2. ed. edn., https://doi.org/10.1002/9781119960003, 2012. a, b
Kalman, R. E.: A New Approach to Linear Filtering and Prediction
Problems, J. Basic Eng.-T. ASME, 82, 35–45, https://doi.org/10.1115/1.3662552,
1960. a
Kalnay, E.: Atmospheric modeling, data assimilation and predictability,
Cambridge Univ. Press, Cambridge, 4. print edn., 2007. a
Kruizinga, S. and Murphy, A. H.: Use of an Analogue Procedure to
Formulate Objective Probabilistic Temperature Forecasts in The
Netherlands, Mon. Weather Rev., 111, 2244–2254,
https://doi.org/10.1175/1520-0493(1983)111<2244:UOAAPT>2.0.CO;2,
1983. a
Laternser, M. and Pfister, C.: Avalanches in Switzerland 1500-1990, in: Rapid
mass movement as a source of climatic evidence for the Holocene, edited by:
Matthews, J. A., 241–264, G. Fischer, Stuttgart and New York, 1997. a
Lguensat, R., Tandeo, P., Ailliot, P., Pulido, M., and Fablet, R.: The Analog
Data Assimilation, Mon. Weather Rev., 145, 4093–4107,
https://doi.org/10.1175/MWR-D-16-0441.1, 2017. a
Lien, G.-Y., Kalnay, E., and Miyoshi, T.: Effective assimilation of global
precipitation: simulation experiments, Tellus A, 65, 19915, https://doi.org/10.3402/tellusa.v65i0.19915, 2013. a
Lien, G.-Y., Miyoshi, T., and Kalnay, E.: Assimilation of TRMM
Multisatellite Precipitation Analysis with a Low-Resolution NCEP
Global Forecast System, Mon. Weather Rev., 144, 643–661,
https://doi.org/10.1175/MWR-D-15-0149.1, 2016. a
Lorenz, E. N.: Atmospheric Predictability as Revealed by Naturally
Occurring Analogues, J. Atmos. Sci., 26, 636–646,
https://doi.org/10.1175/1520-0469(1969)26<636:APARBN>2.0.CO;2, 1969. a, b
Maraun, D.: Bias Correction, Quantile Mapping, and Downscaling:
Revisiting the Inflation Issue, J. Climate, 26, 2137–2143,
https://doi.org/10.1175/JCLI-D-12-00821.1, 2013. a
Maraun, D., Wetterhall, F., Ireson, A. M., Chandler, R. E., Kendon, E. J.,
Widmann, M., Brienen, S., Rust, H. W., Sauter, T., Themeßl,
M., Venema, V. K. C., Chun, K. P., Goodess, C. M., Jones, R. G., Onof, C.,
Vrac, M., and Thiele-Eich, I.: Precipitation downscaling under climate
change: Recent developments to bridge the gap between dynamical models and
the end user, Rev. Geophys., 48, RG3003, https://doi.org/10.1029/2009RG000314,
2010. a
Margreth, S.: Lawinenwinter der letzten 150 Jahre: ihre Bedeutung für die
Entwicklung des Lawinenschutzes, WSL Berichte, 78, 21–30,
2019. a
Matsikaris, A., Widmann, M., and Jungclaus, J.: On-line and off-line data assimilation in palaeoclimatology: a case study, Clim. Past, 11, 81–93, https://doi.org/10.5194/cp-11-81-2015, 2015. a
MeteoSwiss: Documentation of MeteoSwiss Grid-Data Products: Daily
Precipitation (final analysis): RhiresD,
available at: https://www.meteoswiss.admin.ch/content/dam/meteoswiss/de/service-und-publikationen/produkt/raeumliche-daten-niederschlag/doc/ProdDoc_RhiresD.pdf (last access: 4 February 2020),
2016a. a, b, c, d, e
MeteoSwiss: Documentation of MeteoSwiss Grid-Data Products: Daily
Mean, Minimum and Maximum Temperature: TabsD, TminD, TmaxD,
available at: https://www.meteoswiss.admin.ch/content/dam/meteoswiss/de/service-und-publikationen/produkt/raeumliche-daten-temperatur/doc/ProdDoc_TabsD.pdf (last access: 4 February 2020),
2016b. a, b, c, d
Pfister, L.: Statistical Reconstruction of Daily Precipitation and
Temperature Fields in Switzerland back to 1864, PANGAEA,
https://doi.org/10.1594/PANGAEA.907579, dataset, 2019. a, b
Pfister, L., Hupfer, F., Brugnara, Y., Munz, L., Villiger, L., Meyer, L., Schwander, M., Isotta, F. A., Rohr, C., and Brönnimann, S.: Early instrumental meteorological measurements in Switzerland, Clim. Past, 15, 1345–1361, https://doi.org/10.5194/cp-15-1345-2019, 2019. a
Piani, C., Haerter, J. O., and Coppola, E.: Statistical bias correction for
daily precipitation in regional climate models over Europe, Theor.
Appl. Climatol., 99, 187–192, https://doi.org/10.1007/s00704-009-0134-9, 2010. a, b
R Core Team: R: A Language and Environment for Statistical
Computing, R Foundation for Statistical Computing, Vienna, Austria,
available at: https://www.R-project.org/ (last access: 4 February 2020), 2017. a
Rössler, O. and Brönnimann, S.: The effect of the Tambora eruption on
Swiss flood generation in 1816/1817, Sci. Total Environ., 627,
1218–1227, https://doi.org/10.1016/j.scitotenv.2018.01.254, 2018. a
Schiemann, R. and Frei, C.: How to quantify the resolution of surface climate
by circulation types: An example for Alpine precipitation, Phys.
Chem. Earth, 35, 403–410,
https://doi.org/10.1016/j.pce.2009.09.005, 2010. a
Schwander, M., Brönnimann, S., Delaygue, G., Rohrer, M., Auchmann, R., and
Brugnara, Y.: Reconstruction of Central European daily weather types back
to 1763, Int. J. Climatol., 37, 30–44,
https://doi.org/10.1002/joc.4974, 2017. a, b, c, d
Schwarb, M.: The alpine precipitation climate : Evaluation of a
high-resolution analysis scheme using comprehensive rain-gauge data, vol. 80
of Zürcher Klima-Schriften, Verlag Institut für Klimaforschung,
ETH Zürich, Zürich, 2001. a
SLF: Der Lawinenwinter 1999: Ereignisanalyse, SLF Bibliothek, Davos,
2000. a
Stucki, P., Bandhauer, M., Heikkilä, U., Rössler, O., Zappa, M., Pfister, L., Salvisberg, M., Froidevaux, P., Martius, O., Panziera, L., and Brönnimann, S.: Reconstruction and simulation of an extreme flood event in the Lago Maggiore catchment in 1868, Nat. Hazards Earth Syst. Sci., 18, 2717–2739, https://doi.org/10.5194/nhess-18-2717-2018, 2018. a
Tandeo, P., Ailliot, P., Fablet, R., Ruiz, J., Rousseau, F., and Chapron, B.:
The Analog Ensemble Kalman Filter and Smoother, 4th International
Workshop on Climate Informatics, Boulder, USA, 2014. a
Van Den Dool, H.: Searching for analogues, how long must we wait?, Tellus A, 46, 314–324,
https://doi.org/10.3402/tellusa.v46i3.15481, 1994. a
Vieli, I.: Wenn die Tochter der Hochalp in ihre weissen Gewänder
gehüllt zu Tal donnert, Der Lawinenwinter 1887/88 im Berner
Oberland, https://doi.org/10.7892/boris.107117, 2017.
a, b
Vitasse, Y., Klein, G., Kirchner, J. W., and Rebetez, M.: Intensity, frequency
and spatial configuration of winter temperature inversions in the closed La
Brevine valley, Switzerland, Theor. Appl. Climatol., 130,
1073–1083, https://doi.org/10.1007/s00704-016-1944-1,
2017. a
Whitaker, J. S. and Hamill, T. M.: Ensemble Data Assimilation without
Perturbed Observations, Mon. Weather Rev., 130, 1913–1924,
https://doi.org/10.1175/1520-0493(2002)130<1913:EDAWPO>2.0.CO;2,
2002. a, b, c
Zorita, E. and von Storch, H.: The Analog Method as a Simple
Statistical Downscaling Technique: Comparison with More
Complicated Methods, J. Climate, 12, 2474–2489,
https://doi.org/10.1175/1520-0442(1999)012<2474:TAMAAS>2.0.CO;2,
1999. a, b, c
Zorita, E., Hughes, J. P., Lettemaier, D. P., and von Storch, H.: Stochastic
Characterization of Regional Circulation Patterns for Climate
Model Diagnosis and Estimation of Local Precipitation, J.
Climate, 8, 1023–1042,
https://doi.org/10.1175/1520-0442(1995)008<1023:SCORCP>2.0.CO;2,
1995. a
Short summary
This paper aims to reconstruct high-resolution daily precipitation and temperature fields for Switzerland back to 1864 using a statistical approach called the analogue resampling method. Results suggest that the presented method is suitable for weather reconstruction. As illustrated with the example of the avalanche in winter 1887/88, these weather reconstructions have great potential for various analyses of past weather and climate impact modelling.
This paper aims to reconstruct high-resolution daily precipitation and temperature fields for...
