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Showing papers by "Xiaolan L. Wang published in 2017"

Journal Article•DOI•
Toward an Integrated Set of Surface Meteorological Observations for Climate Science and Applications

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Peter Thorne1, Rob Allan2, Linden Ashcroft3, Philip Brohan2, Robert Dunn2, M. J. Menne4, Petra R. Pearce5, J. Picas6, Kate M. Willett2, M. Benoy7, Stefan Brönnimann8, Pablo O. Canziani9, John Coll1, R. Crouthamel, Gilbert P. Compo10, D. Cuppett, Mary Curley, C. Duffy2, I. Gillespie1, José Antonio Guijarro, Sylvie Jourdain, Elizabeth C. Kent11, Hisayuki Kubota12, T. P. Legg2, Qingxiang Li, Jun Matsumoto13, Conor Murphy1, Nick Rayner2, Jared Rennie14, Elke Rustemeier15, Laura C. Slivinski10, Victoria Slonosky16, Antonello A. Squintu17, Birger Tinz15, Maria Antónia Valente18, Seamus Walsh, Xiaolan L. Wang, Nancy E. Westcott19, K. Wood20, S.D. Woodruff10, S. J. Worley21 •
Maynooth University1, Met Office2, Rovira i Virgili University3, National Oceanic and Atmospheric Administration4, National Institute of Water and Atmospheric Research5, University of the Witwatersrand6, Bureau of Meteorology7, Oeschger Centre for Climate Change Research8, National Scientific and Technical Research Council9, Cooperative Institute for Research in Environmental Sciences10, National Oceanography Centre, Southampton11, University of Tokyo12, Tokyo Metropolitan University13, North Carolina State University14, Deutscher Wetterdienst15, McGill University16, Royal Netherlands Meteorological Institute17, University of Lisbon18, University of Illinois at Urbana–Champaign19, University of Washington20, National Center for Atmospheric Research21
01 Dec 2017-Bulletin of the American Meteorological Society
TL;DR: In this paper, the authors provide a high-level overview of land-based meteorological data and their management and curation, based upon broad community input, and provide a set of data holdings, of known provenance, that is integrated both across essential climate variables and across time scales to meet the broad range of stakeholder needs.
Abstract: Observations are the foundation for understanding the climate system. Yet, currently available land meteorological data are highly fractured into various global, regional, and national holdings for different variables and time scales, from a variety of sources, and in a mixture of formats. Added to this, many data are still inaccessible for analysis and usage. To meet modern scientific and societal demands as well as emerging needs such as the provision of climate services, it is essential that we improve the management and curation of available land-based meteorological holdings. We need a comprehensive global set of data holdings, of known provenance, that is truly integrated both across essential climate variables (ECVs) and across time scales to meet the broad range of stakeholder needs. These holdings must be easily discoverable, made available in accessible formats, and backed up by multitiered user support. The present paper provides a high-level overview, based upon broad community input, ...

63 citations