Selected climatic data for a global set of standard stations for vegetation science

Selected climatic data for a global set of standard stations for vegetation science

Author: M.J. Muller

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 338

ISBN-13: 940098040X

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The present volume, Nr. 5 in the T:VS series is an example of a handbook volume for working in vegetation science. Anyone working and teaching in this field knows the difficulties in obtaining basic environmental da ta needed for research and interpretation. There are regional publications and there are other data sets availa ble. In both cases the distribution is limited. The present volume by Dr. Muller intends to provide a selection of climatic parameters as they are commonly needed for the work of the vegetation scientist. The same set of monthly mean values are provided for about 1000 stations distributed as evenly as possible over the global land surfaces. The tabular presentation of data from the individual stations is put into a geographical context through va rious means. Climatological classifications according to KOPPEN/GEIGER and TROLL/PAFFEN are inclu ded as well as a revised system of climate diagrams from WALTER and LlETH. In the present form the glo bal standard climate data set should prove to be useful for vegetation science, biometeorology, agriculture, and forestry as well as general geography. I have to thank Dr. Muller for providing this valuable work to the T:VS series. I am sure that this selection of climatic data for the special needs of vegetation scientists will help many colleagues in different parts of the world.


Downscaling Techniques for High-Resolution Climate Projections

Downscaling Techniques for High-Resolution Climate Projections

Author: Rao Kotamarthi

Publisher: Cambridge University Press

Published: 2021-02-11

Total Pages: 213

ISBN-13: 1108587062

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Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for policy makers and practitioners interested in climate risk and resilience.