Back to Search Start Over

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

Authors :
Thorne, Peter
Allan, Rob J.
Ashcroft, L.
Brohan, Philip
Dunn, R.J.H.
Menne, M.J.
Pearce, P.R.
Picas, J.
Willett, K.M.
Benoy, M.
Brönnimann, S.
Canziani, P.O.
Coll, John
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.
Matsumoto, J.
Murphy, Conor
Rayner, N.A.
Rennie, J.J.
Rustemeier, E.
Slivinsk, 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.
Source :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET)
Publication Year :
2017
Publisher :
American Meteorological Society, 2017.

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 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET), Agencia Estatal de Meteorología (AEMET)
Accession number :
edsair.dedup.wf.001..186fb7de51fdb394a736b3e9268a652e