An imputation method for the climatic data with strong seasonality and spatial correlation

Author:

Qin Yun,Ren GuoyuORCID,Zhang Panfeng,Wu Lixiu,Wen Kangmin

Funder

Chinese Ministry of Science and Technology (MOST) National Key R&D Program

Science Foundation Program of Guangxi University of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference57 articles.

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3. Bindoff NL, Stott PA, AchutaRao KM, Allen MR, Gillett N, Gutzler D, Hansingo K, Hegerl G, Hu Y, Jain S. Mokhov II, Overland J, Perlwitz J, Sebbari R, Zhang X (2013) Detection and attribution of climate change: from global to regional. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds)]. Cambridge University Press, Cambridge, and New York

4. Brönnimann S, Brugnara Y, Allan RJ, Brunet M, Compo GP, Crouthamel RI, Jones PD, Jourdain S, Luterbacher J, Siegmund P, Valente MA, Wilkinson CW (2018) A roadmap to climate data rescue services. Geosci Data J 5:28–39. https://doi.org/10.1002/gdj3.56

5. Broyden CG (1970) The convergence of a class of double-rank minimization algorithms. IMA J Appl Math 6:76–90. https://doi.org/10.1093/imamat/6.1.76

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