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The global climate is changing. Predicting the impacts this will have on buildings is the first step in the process of finding suitable building adaptation measures. Future climate adaptation of buildings and infrastructure is a growing field of research, relying on both socio-economical and meteorological research for input values to the simulation models. Models producing hourly future weather data rely on global climate models which are based on emission scenarios made from assumptions of future political, social, and economic developments. Accounting for the uncertainties from these underlying models as much as possible, and communicating the uncertainties in the results, is obviously paramount for reliable conclusions from the building simulation models. This paper is a scoping review, investigating how 132 studies treat and communicate the string of uncertainties from underlying models connected to future weather file generation in the scientific literature on building adaptation research. The findings suggest that climate-model-induced uncertainties are often under-communicated, due to either insufficient analysis or neglect. The studies that included the most comprehensive analyses of the uncertainties frequently concluded that treatment of these is important for the reliability of the results, and neglecting this could lead to misleading conclusions. [ABSTRACT FROM AUTHOR]

The climate of Bangladesh is very likely to be influenced by global climate change. To quantify the influence on the climate of Bangladesh, Global Climate Models were downscaled statistically to produce future climate projections of maximum temperature during the pre-monsoon season (March–May) for the 21st century for Bangladesh. The future climate projections are generated based on three emission scenarios (RCP2.6, RCP4.5 and RCP8.5) provided by the fifth Coupled Model Intercomparison Project. The downscaling process is undertaken by relating the large-scale seasonal mean temperature, taken from the ERA5 reanalysis data set, to the leading principal components of the observed maximum temperature at stations under Bangladesh Meteorological Department in Bangladesh, and applying the relationship to the GCM ensemble. The in-situ temperature data has only recently been digitised, and this is the first time they have been used in statistical downscaling of local climate projections for Bangladesh. This analysis also provides an evaluation of the local data, and the local temperatures in Bangladesh show a close match with the ERA5 reanalysis. Compared to the reference period of 1981–2010, the projected maximum pre-monsoon temperature in Bangladesh indicate an increase by 0.7/0.7/0.7 ∘ C in the near future (2021–2050) and 2.2/1.2/0.8 ∘ C in the far future (2071–2100) assuming the RCP8.5/RCP4.5/RCP2.6 scenario, respectively. [ABSTRACT FROM AUTHOR]

Abstract: This article uniquely compares tourists'' weather preferences, aversions and acceptances with present and projected future summer weather in Northern Scandinavia. An in situ survey revealed tourist weather preferences (e.g. clear sky, rather warm) and aversions (e.g. frequent rainfall, low visibility). Weather observations and tailored climate projections depict present and future conditions of ‘wet’, ‘cool’, ‘mild’ and ‘warm’ days, and empirical relationships are developed to establish projections for cloudiness and visibility. The projections indicate that tourists'' preference for rather warm weather will be met by increasing numbers of mild and warm days. However, the number of ‘wet’ days will increase and prospects for enjoying ‘midnight sun’ tend to be slightly reduced. The study offers a novel approach for better understanding the base of future tourist behaviour under climate change conditions and vital implications for tourism management are identified. Furthermore, advantageous interrelations between different scientific areas for climate change research are illustrated. [Copyright &y& Elsevier]

Background: Tick-borne encephalitis (TBE) is among the most important vector borne diseases of humans in Europe and is currently identified as a major health problem in many countries. TBE endemic zones have expanded over the past two decades, as well as the number of reported cases within endemic areas. Multiple factors are ascribed for the increased incidence of TBE, including climatic change. The number of TBE cases has also increased in Norway over the past decade, and the human cases cluster along the southern coast of Norway. In Norway the distribution and prevalence of TBE virus (TBEV) in tick populations is largely unknown. The objectives of this study were to estimate the TBEV prevalence in Ixodes ricinus from seven locations and to assess the relationship between the TBEV prevalence and site-specific climatic variables.Methods: A total of 5630 questing nymphs were collected and analyzed in pools of ten. All pools were screened with an in-house real-time RT-PCR, and the positive pools were pyrosequenced. Two methods, minimum infection rate (MIR) and a frequentist method (EPP) for pooled prevalence estimations were calculated and compared. Climatic data were descriptively compared to the corresponding EPP of each location in order to explain variations in TBEV prevalence. Results: The seven foci of TBEV had an estimated overall prevalence (EPP) in pools of nymphs combined, of 0.53% with 95% CI (0.35-0.75), with point prevalence ranging between 0.11%-1.22%. The sites with the highest point prevalences were within the municipalities which had the highest numbers of registered TBE cases. The results indicate that the location with highest point prevalence had the highest relative mean humidity and lowest mean saturation deficit and vice versa for the lowest EPP. Conclusion: Our study confirms the existence of TBEV endemic foci in Norway. These results are of importance to increase the awareness of TBEV infections in Norway and could be used for public information and recommendations of TBE vaccination. EPP is the method of choice for pooled prevalence calculations, since it provides estimated prevalences with confidence intervals. Our findings emphasise the possible importance of microclimatic conditions regarding the TBEV prevalence in ticks. [ABSTRACT FROM AUTHOR]

The relationship between building materials, structures and climate is complex and there is an urgent need for more accurate methods to assess building performance. For example, the lifetime of wooden cladding is strongly dependent on the local-level climatic impact. A national map of the potential for decay in wood structures in Norway is presented based on Scheffer's climate index formula. Weather data are used from 115 observing stations for the reference 30-year period 1961–90. The climate index distribution allows for geographically differentiated guidelines on protective measures. Detailed scenarios for climate change for selected locations in Norway are used to provide an indication of the possible future development of decay rates. Climate indices allowing for the quantitative assessment of building enclosure performance may be an important element in the development of adaptation measures to meet the future risks of climate change in different parts of the world. Established quantified relations between climatic impact and material behaviour or building performance can be used as a tool for the evaluation of the need for changes in functional requirements. The presented work represents an example of a first step towards such measures. Ways to improve the reliability of the index further are also suggested.Les relations qui existent entre les matériaux de construction, les structures et le climat sont complexes et il est urgent de disposer de méthodes plus précises pour évaluer les performances des bâtiments. Ainsi, la durée de vie d'un revêtement en bois est étroitement liée à l'impact du climat au niveau local. En Norvège, sur la base de la formule de l'indice climatique de Scheffer, on a dressé une carte nationale des risques de dégradation des structures en bois. Cent quinze stations d'observation ont fourni des données météorologiques pour la période de référence de 30 ans de 1961 à 1990. La distribution de l'indice climatique permet de rédiger des directives différenciées en fonction de la géographie concernant les mesures de protection. Des scénarios détaillés relatifs au changement climatique pour des sites sélectionnés en Norvège servent à donner une indication de l'évolution possible des taux de dégradation. Les indices climatiques permettant de procéder à une évaluation quantitative des performances des enveloppes de bâtiments peuvent être un élément important dans la formulation de mesures d'adaptation afin de répondre aux risques futurs des changements climatiques dans différentes parties du monde. Les relations quantifiées établies entre l'impact climatique et le comportement des matériaux et les performances des bâtiments peuvent être utilisées comme outils pour évaluer la nécessité de modifier les exigences fonctionnelles. Le travail présenté dans cet article est un exemple d'une première étape vers de telles mesures. L'auteur suggère également des voies afin d'améliorer encore davantage la fiabilité des indices.Mots clés: enveloppes des bâtiments, performance des bâtiments, adaptation climatique, changements climatiques, risques de dégradation, structures en bois, Norvège [ABSTRACT FROM AUTHOR]