Results 261 to 270 of about 249,105 (300)
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Estuary classification method for considering climate change effects in South Korea
Journal of Coastal Research, 2013ABSTRACT Jang D., and Hwang, J. H., 2013. Classification method of estuary considering the climate change in South. Sea level rise attributed to climate change is expected to affect the estuaries of South Korea significantly. The seawater intrudes into the beds of river channels and into aquifers near the coastal zone, and such processes are expected ...
Dongmin Jang, Jin Hwan Hwang
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A review and classification of analytical methods for climate change adaptation
WIREs Climate Change, 2014The exchange of coherent arguments about methods applied in the field of climate change adaptation is challenging due to the growing diversity of analytical methods applied from natural science and social science. This is further complicated by the abstract and ambiguous terms, such as vulnerability and adaptive capacity, employed in the literature and
Jochen Hinkel, Alexander Bisaro
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Climatic classification of the Tibet Autonomous Region using multivariate statistical methods
GeoJournal, 1995A climatic regionalization of the Tibet (Xizang) Autonomous Region (TAR) is developed based on a multivariate analysis of temperature and precipitation records of two data sets from the periods 1971–1980 and 1980–1989. For these two decades 15 selected variables of the 29 meteorological stations — in total more than 50,000, partly handwritten original ...
D. Leber, F. Holawe, H. H�usler
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2023
Unsupervised classification is becoming an increasingly common method to objectively identify coherent structures within both observed and modelled climate data. However, the user must choose the number of classes to fit in advance. Typically, a combination of statistical methods and expertise is used to choose the appropriate number of classes for a ...
Emma Boland, Dani Jones, Erin Atkinson
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Unsupervised classification is becoming an increasingly common method to objectively identify coherent structures within both observed and modelled climate data. However, the user must choose the number of classes to fit in advance. Typically, a combination of statistical methods and expertise is used to choose the appropriate number of classes for a ...
Emma Boland, Dani Jones, Erin Atkinson
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Evaluate Turkey’s Climate Classification by Clustering Analysis Method
2019Climate change, which has become one of the most important issues of our time, is spoken and evaluated in many environments. It is a fact that this issue, which is also discussed outside the scientific fields, is not known enough by the society. Evaluation linking climate change to human impact is one of the most important evidence of this lack of ...
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Urban Climate, 2020
Abstract While climate change projections for the Mediterranean region indicate an increased exposure to heatwaves (HW), such prospects are particularly challenging in urban areas, where thermal stress can be exacerbated by the Urban Heat Island (UHI) effect.
Oliveira, Ana +2 more
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Abstract While climate change projections for the Mediterranean region indicate an increased exposure to heatwaves (HW), such prospects are particularly challenging in urban areas, where thermal stress can be exacerbated by the Urban Heat Island (UHI) effect.
Oliveira, Ana +2 more
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A new method of cluster analysis for numerical classification of climate
Theoretical and Applied Climatology, 1997In this paper, a new method of cluster analysis incorporating a statistical test, was proposed in order to decide whether to accept or reject the assumption of a numerical classification of climate according to aχ 2 test. On the basis of normality of errors, theχ 2 test has been derived from the variance of the Euclidean distance or from that of the ...
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Comparison of classification methods for the divisions of wet/dry climate regions in Northwest China
International Journal of Climatology, 2013ABSTRACTTwo distinct approaches can be employed in the classification and divisions of wet/dry climate. The first is the rule‐driven strategy with predefined threshold values representing climate division boundaries, which is usually performed by Aridity Index (AI).
Qingling Geng +3 more
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Developing Climate Classification for Oman Using Degree-Days Method
Arabian Journal for Science and Engineering, 2022Saleh Al-Saadi +4 more
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Classification and Evaluation of Current Climate Vulnerability Assessment Methods
Social Indicators Research, 2023Sindhuja Kasthala +3 more
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