Rennie, J.J., Lawrimore, Jay, Gleason, B.E., Thorne, Peter, Morice, C.P., Menne, M.J., Williams Jr., C.N., Gambi de Almeida, W., Christy, J.R., Flannery, M., Ishihara, M., Kamiguchi, K., Klein-Tank, A.M.G., Mhanda, A., Lister, D.H., Razuvaev, V., Renom, M., Rusticucc, M., Tandy, J., Worley, S.J., Venema, V.K.C., Angel, W., Brunet, M., Dattore, B., Diamond, H., Lazzara, M.A., Le Blancq, F., Luterbacher, J., Mächel, H., Revadekar, J., Vose, R.S. and Yin, X. (2014) The international surface temperature initiative global land surface databank: monthly temperature data release description and methods. Geoscience Data Journal, 1 (2). pp. 75-102. ISSN 2049-6060
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Abstract
Described herein is the first version release of monthly temperature holdings of a new Global Land Surface Meteorological Databank. Organized under the auspices of the International Surface Temperature Initiative (ISTI), an international group of scientists have spent three years collating and merging data from numerous sources to create a merged holding. This release in its recommended form consists of over 30 000 individual station records, some of which extend over the past 300 years. This article describes the sources, the chosen merge methodology, and the resulting databank characteristics. Several variants of the databank have also been released that reflect the structural uncertainty in merging datasets. Variants differ in, for example, the order in which sources are considered and the degree of congruence required in station geolocation for consideration as a merged or unique record. Also described is a version control protocol that will be applied in the event of updates. Future updates are envisaged with the addition of new data sources, and with changes in processing, where public feedback is always welcomed. Major updates, when necessary, will always be accompanied by a new journal paper. This databank release forms the foundation for the construction of new global land surface air temperature analyses by the global research community and their assessment by the ISTI's benchmarking and assessment working group.
Item Type: | Article |
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Keywords: | global climate;surface land temperature;statistical analysis; |
Academic Unit: | Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS |
Item ID: | 6476 |
Identification Number: | 10.1002/gdj3.8 |
Depositing User: | Peter Thorne |
Date Deposited: | 19 Oct 2015 14:57 |
Journal or Publication Title: | Geoscience Data Journal |
Publisher: | Wiley Open Access |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/6476 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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