An innovative methodology of assessing the climate change impact on cultural heritage

References

• Antretter, F. 2014. Building simulation as a tool for future projections of indoor climate in historic buildings. Climate for Culture Final Conference, Munich, Germany, July 9–10.
   Google Scholar
• Ashley-Smith, J. 2014. WP4 - deliverable 4.2 report on damage functions in relation to climate change. http://www.climateforculture.eu/index.php?inhalt=furtherresources.projectresults.
   Google Scholar
• Bertolin, C., and D. Camuffo. 2014. WP5 - deliverable 5.2 climate change impact on movable and immovable cultural heritage throughout Europe. http://www.climateforculture.eu/index.php?inhalt=furtherresources.projectresults.
   Google Scholar
• Bertolin, C., D. Camuffo, J. Leissner, F. Antretter, M. Winkler, A. W. M. van Schijndel, H. L. Schellen, L. Kotova, and U. Mikolajewicz. 2014. Results of the EU project climate for culture: Future climate-induced risks to historic buildings and their interiors. In SISC Conference Proceedings, Venice, Italy, September 29–30, 923–43.
   Google Scholar
• Bratasz, L., and B. Rachwal. 2010. Computer modelling of dimensional response and stress fields in wooden artworks. In Proceedings: Allowable Microclimatic Variations for Polychrome Wood. International Workshop. Oslo, Norway: Norwegian Institute for Cultural Heritage Research - NIKU, February 18–19.
   Google Scholar
• Brimblecombe, P., and P. Lankester. 2013. Long-term changes in climate and insect damage in historic houses. Studies in Conservation 58 (1) The International Institute for Conservation of Historic and Artistic Works:13–22. doi:10.1179/2047058412Y.0000000051.
   Web of Science ®Google Scholar
• Erhardt, D., and F. Antretter. 2012. Applicability of regional model climate data for hygrothermal building simulation and climate change impact on the indoor environment of a generic church in Europe. In Proceedings of the 2nd European Workshop on Cultural Heritage Preservation (EWCHP), Oslo, Norway, September 22–26.
   Google Scholar
• Fahrmeir, L., R. Künstler, I. Pigeot, and G. Tutz. 2001. Statistik - Der Weg Zur Datenanalyse, 3rd ed. Berlin: Springer Verlag.
   Google Scholar
• Huijbregts, Z., R. P. Kramer, M. H. J. Martens, A. W. M. van Schijndel, and H. L. Schellen. 2012. A proposed method to assess the damage risk of future climate change to museum objects in historic buildings. Building and Environment 55:43–56. doi:10.1016/j.buildenv.2012.01.008.
   Web of Science ®Google Scholar
• IPCC. 2007. Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland.
   Google Scholar
• Jacob, D. 2001. A note to the simulation of the annual and inter-annual variability of the water budget over the baltic sea drainage basin. Meteorology and Atmospheric Physics 77 (1–4) Springer-Verlag:61–73. doi:10.1007/s007030170017.
   Web of Science ®Google Scholar
• Jacob, D., A. Elizalde, A. Haensler, S. Hagemann, P. Kumar, R. Podzun, D. Rechid, et al. 2012. Assessing the transferability of the regional climate model REMO to different COordinated Regional Climate Downscaling EXperiment (CORDEX) regions. Atmosphere 3 (4) Molecular Diversity Preservation International:181–99. doi:10.3390/atmos3010181.
   Web of Science ®Google Scholar
• Jacob, D., and L. Kotova. 2011. WP1 - deliverable 1.2 report on high-resolution climate change simulations. http://www.climateforculture.eu/index.php?inhalt=furtherresources.projectresults.
   Google Scholar
• Jacob, D. 2009. Regional climate models: Linking global climate change to local impacts. In Encyclopedia of complexity and systems science, ed. Robert A. Meyers, 7591–602. New York, NY: Springer New York.
   Google Scholar
• Jakieła, S., Ł. Bratasz, and R. Kozłowski. 2008. Numerical modelling of moisture movement and related stress field in lime wood subjected to changing climate conditions. Wood Science and Technology 42 (1) Springer-Verlag:21–37. doi:10.1007/s00226-007-0138-5.
   Web of Science ®Google Scholar
• Kilian, R. 2013. Klimastabilität Historischer Gebäude, Bewertung Hygrothermischer Simulationen Im Kontext Der Präventiven Konservierung. Stuttgart, Germany: Fraunhofer Verlag.
   Google Scholar
• Kilian, R., T. Broström, J. Ashley-Smith, H. L. Schellen, M. Martens, F. Antretter, M. Winkler, C. Bertolin, D. Camuffo, and J. Leissner. 2013. The climate for culture method for assessing future risks resulting from the indoor climate in historic buildings. In Proceedings of the 3rd European Workshop on Cultural Heritage Preservation (EWCHP, ed. Alexandra Troi and Elena Lucchi.). Bolzano, Italy, September 16–17.
   Google Scholar
• Kottek, M., J. Grieser, C. Beck, B. Rudolf, and F. Rubel. 2006. World map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift 15 (3) Schweizerbart and Borntraeger science publishers:259–63. doi:10.1127/0941-2948/2006/0130.
   Web of Science ®Google Scholar
• Kramer, R., J. van Schijndel, and H. Schellen. 2013. Inverse modeling of simplified hygrothermal building models to predict and characterize indoor climates. Building and Environment 68. Elsevier Ltd:87–99. doi:10.1016/j.buildenv.2013.06.001.
   Web of Science ®Google Scholar
• Kramer, R. P. 2012. From castle to binary code: The application of inverse modeling for the prediction and characterization of indoor climates and energy performances. Eindhoven, The Netherlands: University of Technology Eindhoven.
   Google Scholar
• Leissner, J., R. Kilian, L. Kotova, D. Jacob, U. Mikolajewicz, T. Broström, J. Ashley-Smith, et al. 2015. Climate for culture: Assessing the impact of climate change on the future indoor climate in historic buildings using simulations. Heritage Science 3 (1) Springer International Publishing:38. doi:10.1186/s40494-015-0067-9.
   Web of Science ®Google Scholar
• Martens, M., and H. Smulders. 2016. Physics of monuments. Accessed March 5. http://www.monumenten.bwk.tue.nl.
   Google Scholar
• Martens, M. H. J. 2012. Climate risk assessment in museums : Degradation risks determined from temperature and relative humidity data. Technische Eindhoven, The Netherlands: Universiteit Eindhoven.
   Google Scholar
• Mecklenburg, M. F., C. S. Tumosa, and D. Erhardt. 1998. Structural response of painted wood surfaces to changes in ambient relative humidity. Los Angeles, CA: Getty Conservation Institute.
   Google Scholar
• Michalski, S. 2002. Double the life for each five-degree drop, more than double the life for each halving of relative humidity. In Preprints of the 13th Triennial Meeting, 66–72. Rio de Janeiro, Brazil: ICOM Committee for Conservation.
   Google Scholar
• Owen, M. S. (Ed.). 2007. 2007 ASHRAE Handbook—HVAC Applications. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
   Google Scholar
• Sabbioni, C., P. Brimblecombe, and M. Cassar. 2010. The Atlas of climate change impact on european cultural heritage: Scientific analysis and management strategies. London & New York: Anthem Press.
   Google Scholar
• Schellen, H. L., M. Martens, Z. Huijbregts, R. Kramer, and J. van Schijndel. 2014. Collecting and assessing climate data – the ‘Climate for Culture’ database. Climate for Culture Final Conference, Munich, Germany, July 9–10..
   Google Scholar
• Sedlbauer, K. 2001. Vorhersage von Schimmelpilzbildung Auf Und in Bauteilen. Stuttgart, Germany: Universität Stuttgart.
   Google Scholar
• Siegel, S., and N. J. Castellan. 1988. Nonparametric statistics for the behavioral sciences, 2nd ed. New York, NY: McGraw-Hill Book Company.
   Google Scholar
• van Schijndel, A. W. M., and H. L. Schellen. 2013. the simulation and mapping of building performance indicators based on European Weather Stations. Frontiers of Architectural Research 2 (2):121–33. doi:10.1016/j.foar.2013.02.003.
   Google Scholar
• Winkler, M., and F. Antretter. 2014. Generic sacred buildings – generating indoor climate and risk maps through an automated risk assessment method. Climate for Culture Final Conference, Munich, Germany, July 9–10..
   Google Scholar