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| Titel |
The surface temperatures of Earth: steps towards integrated understanding of variability and change |
| VerfasserIn |
C. J. Merchant, S. Matthiesen, N. A. Rayner, J. J. Remedios, P. D. Jones, F. Olesen, B. Trewin, P. W. Thorne, R. Auchmann, G. K. Corlett, P. C. Guillevic, G. C. Hulley |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2193-0856
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Instrumentation, Methods and Data Systems ; 2, no. 2 ; Nr. 2, no. 2 (2013-12-18), S.305-321 |
| Datensatznummer |
250084928
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| Publikation (Nr.) |
 copernicus.org/gi-2-305-2013.pdf |
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| Zusammenfassung |
| Surface temperature is a key aspect of weather and climate, but the term may
refer to different quantities that play interconnected roles and are observed
by different means. In a community-based activity in June 2012, the EarthTemp
Network brought together 55 researchers from five continents to improve the
interaction between scientific communities who focus on surface temperature
in particular domains, to exploit the strengths of different observing
systems and to better meet the needs of different communities. The workshop
identified key needs for progress towards meeting scientific and societal
requirements for surface temperature understanding and information, which are
presented in this community paper. A "whole-Earth" perspective is required
with more integrated, collaborative approaches to observing and understanding
Earth's various surface temperatures. It is necessary to build understanding
of the relationships between different surface temperatures, where presently
inadequate, and undertake large-scale systematic intercomparisons. Datasets
need to be easier to obtain and exploit for a wide constituency of users,
with the differences and complementarities communicated in readily understood
terms, and realistic and consistent uncertainty information provided. Steps
were also recommended to curate and make available data that are presently
inaccessible, develop new observing systems and build capacities to
accelerate progress in the accuracy and usability of surface temperature
datasets. |
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