Predicting regional and pan-Arctic sea ice anomalies with kernel analog forecasting
Author:
Funder
Office of Naval Research
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00382-018-4459-x.pdf
Reference70 articles.
1. Alessandrini S, Delle Monache L, Sperati S, Nissen J (2015) A novel application of an analog ensemble for short-term wind power forecasting. Renew Energy 76:768–781
2. Alexander R, Zhao Z, Szkely E, Giannakis D (2017) Kernel analog forecasting of tropical intraseasonal oscillations. J Atmos Sci 74(4):1321–1342
3. Atencia A, Zawadzki I (2015) A comparison of two techniques for generating nowcasting ensembles. Part II: Analogs selection and comparison of techniques. Mon Weather Rev 143(7):2890–2908
4. Blanchard-Wrigglesworth E, Bitz CM (2014) Characteristics of Arctic sea-ice thickness variability in GCMs. J Clim 27(21):8244–8258
5. Blanchard-Wrigglesworth E, Armour KC, Bitz CM, DeWeaver E (2011a) Persistence and inherent predictability of Arctic sea ice in a GCM ensemble and observations. J Clim 24(1):231–250
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