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A Global Database with Parallel Measurements to Study Non-Climatic Changes

Victor Venema,Renate Auchmann,Enric Aguilar,Ingeborg Auer, César Azorín-Molina, T. Brandsma, Michele Brunetti, Manuel Dienst, Péter Domonkos, Alba Gilabert,Jenny Lindén, Ewa J. Milewska, Øyvind Nordli, Marc Prohom, Jared Rennie,Petr Štěpánek, Blair Trewin,Lucie A. Vincent, Kate Willett, Mareile Wolff

EGUGA(2016)

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摘要
n this work we introduce the rationale behind the ongoing compilation of a parallel measurements database, under the umbrella of the International Surface Temperatures Initiative (ISTI) and with the support of the World Meteorological Organization. We intend this database to become instrumental for a better understanding of inhomogeneities affecting the evaluation of long term changes in daily climate data. Long instrumental climate records are usually affected by non-climatic changes, due to, e.g., relocations and changes in instrumentation, instrument height or data collection and manipulation procedures. These so-called inhomogeneities distort the climate signal and can hamper the assessment of trends and variability. Thus to study climatic changes we need to accurately distinguish non-climatic and climatic signals.
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Data Integration,Wavelet Analysis,Spatial Information,Semantic Knowledge Base,Machine Learning
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