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Technical Note: Towards a Continuous Classification of Climate Using Bivariate Colour Mapping : Volume 8, Issue 3 (17/06/2011)

By Teuling, A. J.

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Book Id: WPLBN0004012947
Format Type: PDF Article :
File Size: Pages 10
Reproduction Date: 2015

Title: Technical Note: Towards a Continuous Classification of Climate Using Bivariate Colour Mapping : Volume 8, Issue 3 (17/06/2011)  
Author: Teuling, A. J.
Volume: Vol. 8, Issue 3
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Teuling, A. J. (2011). Technical Note: Towards a Continuous Classification of Climate Using Bivariate Colour Mapping : Volume 8, Issue 3 (17/06/2011). Retrieved from http://hawaiilibrary.net/


Description
Description: Hydrology and Quantitative Water Management Group, Wageningen University, The Netherlands. Climate is often defined in terms of discrete classes. Here I use bivariate colour mapping to show that the global distribution of Köppen-Geiger climate classes can largely be reproduced by combining the simple means of two key states of the climate system (i.e., air temperature and relative humidity). This allows for a classification that is not only continuous in space, but can be applied at and transferred between timescales ranging from minutes to decades.

Summary
Technical note: Towards a continuous classification of climate using bivariate colour mapping

Excerpt
Albani, M., Medvigy, D., Hurtt, G. C., and Moorcroft, P. R.: The contributions of land-use change, CO2 fertilization, and climate variability to the Eastern US carbon sink, Glob. Change Biol. 12(12), 2370–2390, 2006.; Cannon, A. J.: Köppen versus the computer: an objective comparison between the K�ppen-Geiger climate classification and a multivariate regression tree, Hydrol. Earth Syst. Sci. Discuss., 8, 2345–2372, doi:10.5194/hessd-8-2345-2011, 2011.; Kim, H. J., Wang, B., Ding, Q. H., and Chung, I. U.: Changes in arid climate over North China detected by the Koppen climate classification, J.\ Meteorol. Soc. Jpn., 86(6), 981–990, 2008.; Kottek, M., Grieser, J., Beck, C., Rudolf, B., and Rubel, F.: World map of the Köppen-Geiger climate classification updated, Meteorol. Z., 15, 259–263, doi:10.1127/0941-2948/2006/0130, 2006.; Miralles, D. G., De Jeu, R. A. M., Gash, J. H., Holmes, T. R. H., and Dolman, A. J.: Magnitude and variability of land evaporation and its components at the global scale, Hydrol. Earth Syst. Sci., 15, 967–981, doi:10.5194/hess-15-967-2011, 2011.; Mitchell, T. D. and Jones, P. D.: An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25, 693–712, doi:10.1002/joc.1181, 2005.; New, M., Lister, D., Hulme, M., and Makin, I.: A high resolution data set of surface climate over global land areas, Climate Res., 21, 1–25, 2002.; Rubel, F. and Kottek, M.: Observed and projected climate shifts 1901–2100 depicted by world maps of the Köppen-Geiger climate classification, Meteorol. Z., 19, 135–141, doi:10.1127/0941-2948/2010/0430, 2010.; Teuling, A. J.,Hirschi, M., Ohmura, A., Wild, M., Reichstein, M., Ciais, P., Buchmann, N., Ammann, C., Montagnani, L., Richardson, A. D., Wohlfahrt, G., and Seneviratne, S. I.: A regional perspective on trends in continental evaporation. Geophys. Res. Lett., 36, L02404, doi:10.1029/2008GL036584, 2009.; Teuling, A. J., Stöckli, R., and Seneviratne, S. I.: Bivariate colour maps for visualizing climate data, Int. J. Climatol., in press, doi:10.1002/joc.2153, 2011.

 

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