Towards an integrated set of surface meteorological observations for climate science and applications

Thorne, P.W.; Allan, R.J.; Ashcroft, L.; Brohan, P.; Dunn, R.J.H.; Menne, M.J.; Pearce, P.R.; Picas, J.; Willett, K.M.; Benoy, M.; Bronnimann, S.; Canziani, P.O.; Coll, J.; Crouthamel, R.; Compo, G.P.; Cuppett, D.; Curley, M.; Duffy, C.; Gillespie, I.; Guijarro, J.; Jourdain, S.; Kent, E.C.; Kubota, H.; Legg, T.P.; Li, Q.; Matsumoto, J.; Murphy, C.; Rayner, N.A.; Rennie, J.J.; Rustemeier, E.; Slivinski, L.C.; Slonosky, V.; Squintu, A.; Tinz, B.; Valente, M.A.; Walsh, S.; Wang, X.L.; Westcott, N.; Wood, K.; Woodruff, S. D.; Worley, S.J.. 2017 Towards an integrated set of surface meteorological observations for climate science and applications. Bulletin of the American Meteorological Society, 98 (12). 2689-2702.

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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 timescales, 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 timescales to meet the broad range of stakeholder needs. These holdings must be easily discoverable, made available in accessible formats, and backed up by multi-tiered user support. The present paper provides a high level overview, based upon broad community input, of the steps that are required to bring about this integration. The significant challenge is to find a sustained means to realize this vision. This requires a long-term international program. The database that results will transform our collective ability to provide societally relevant research, analysis and predictions in many weather and climate related application areas across much of the globe.

Item Type: Publication - Article
Digital Object Identifier (DOI):
ISSN: 0003-0007
Date made live: 12 Apr 2017 12:22 +0 (UTC)

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