A Novel Machine Learning Based Bias Correction Method and Its Application to Sea Level in an Ensemble of Downscaled Climate Projections
By: Magnus Hieronymus and Fredrik Hieronymus
References
- Barbosa, SM. 2008. Quantile trends in Baltic sea level. Geophys res lett, 35: 1–6. DOI: 10.1029/2008GL035182
- Berg, P, Bosshard, T, Yang, W and Zimmermann, K. 2022. Midas—multi-scale bias adjustment. Geoscientific Model Development Discussions, 2022: 1–25. DOI: 10.5194/egusphere-egu22-737
- Berg, P, Döscher, R and Koenigk, T. 2013. Impacts of using spectral nudging on regional climate model RCA4 simulations of the Arctic. Geoscientific model development, 6(3): 849–859. DOI: 10.5194/gmd-6-849-2013
- Calafat, F and Jordá, G. 2011. A mediterranean sea level reconstruction (19502008) with error budget estimates. Global and Planetary Change, 79(1): 118–133. DOI: 10.1016/j.gloplacha.2011.09.003
- Cannon, AJ, Sobie, SR and Murdock, TQ. 2015. Bias correction of gcm precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes? Journal of Climate, 28(17): 6938–6959. DOI: 10.1175/JCLI-D-14-00754.1
- Coles, S. 2001.
An introduction to statistical modeling of extreme values , 1st edn. Berlin: Springer. DOI: 10.1007/978-1-4471-3675-0_1 - Dangendorf, S, Arns, A, Pinto, JG, Ludwig, P and Jensen, J. 2016. The exceptional influence of storm ‘Xaver’ on design water levels in the German Bight. Environmental Research Letters, 11(5): 054001. DOI: 10.1088/1748-9326/11/5/054001
- Dee, DP, Uppala, SM, Simmons, AJ, Berrisford, P, Poli, P, Kobayashi, S, Andrae, U, Balmaseda, MA, Balsamo, G, Bauer, P, Bechtold, P, Beljaars, ACM, van de Berg, L, Bidlot, J, Bormann, N, Delsol, C, Dragani, R, Fuentes, M, Geer, AJ, Haimberger, L, Healy, SB, Hersbach, H, Hlm, EV, Isaksen, L, Kllberg, P, Khler, M, Matricardi, M, McNally, AP, Monge-Sanz, BM, Morcrette, JJ, Park, BK, Peubey, C, de Rosnay, P, Tavolato, C, Thpaut, JN and Vitart, F. 2011. The era-interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656): 553–597. DOI: 10.1002/qj.828
- Dieterich, C, Gröger, M, Arneborg, L and Andersson, HC. 2019a. Extreme sea levels in the Baltic Sea under climate change scenarios – part 1: Model validation and sensitivity. Ocean Science, 15(6): 1399–1418. DOI: 10.5194/os-15-1399-2019
- Dieterich, C, Wang, S, Schimanke, S, Gröger, M, Klein, B, Hordoir, R, Samuelsson, P, Liu, Y, Axell, L, Hglund, A and Meier, HEM. 2019b. Surface heat budget over the North Sea in climate change simulations. Atmosphere, 10(5). DOI: 10.3390/atmos10050272
- Ekman, M. 1999. Climate changes detected through the world’s longest sea level series. Glob and Plan Change, 21(4): 215–224. DOI: 10.1016/S0921-8181(99)00045-4
- Fox-Kemper, B, Hewitt, HT, Xiao, C, Aalgeirsdóttir, G, Drijfhout, SS, Edwards, TL, Golledge, NR, Hemer, M, Kopp, RE, Krinner, G, Mix, A, Notz, D, Nowicki, S, Nurhati, IS, Ruiz, L, Sallée, JB, Slangen, ABA and Yu, Y. 2021. Ocean, cryosphere and sea level change. Tech. rep., In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, in press.
- Fredriksson, C, Tajvidi, N, Hanson, H and Larson, M. 2016. Statistical analysis of extreme sea water levels at the Falsterbo Peninsula, South Sweden. Journal of Water Management and Research, 72: 129–142.
- Gröger, M, Arneborg, L, Dieterich, C, Höglund, A and Meier, H. 2019. Summer hydrographic changes in the Baltic Sea, Kattegat and Skagerrak projected in an ensemble of climate scenarios downscaled with a coupled regional oceansea iceatmosphere model. Climate Dynamics. DOI: 10.1007/s00382-019-04908-9
- Hieronymus, M. 2021. A yearly maximum sea level simulator and its applications: a stockholm case study. Ambio. DOI: 10.1007/s13280-021-01661-4
- Hieronymus, M, Dieterich, C, Andersson, H and Hordoir, R. 2018. The effects of mean sea level rise and strengthened winds on extreme sea levels in the Baltic Sea. Theoretical and Applied Mechanics Letters, 8: 366–371. DOI: 10.1016/j.taml.2018.06.008
- Hieronymus, M and Hieronymus, F. 2021. Southern Baltic sea level extremes: tide gauge data, historic storms and confidence intervals. Boreal Environmental Research, 26: 79–87
- Hieronymus, M, Hieronymus, J and Arneborg, L. 2017. Sea level modelling in the baltic and the north sea: The respective role of different parts of the forcing. Ocean Modell, 118: 59–72. DOI: 10.1016/j.ocemod.2017.08.007
- Hieronymus, M, Hieronymus, J and Hieronymus, F. 2019. On the application of machine learning techniques to regression problems in sea level studies. Journal of Atmospheric and Oceanic Technology, 36(9): 1889–1902. DOI: 10.1175/JTECH-D-19-0033.1
- Hieronymus, M and Kalén, O. 2020. Sea-level rise projections for Sweden based on the new IPCC special report: The ocean and cryosphere in a changing climate. Ambio. DOI: 10.1007/s13280-019-01313-8
- Hieronymus, M and Kalén, O. 2022. Should swedish sea level planners worry more about mean sea level rise or sea level extremes? Ambio. DOI: 10.1007/s13280-022-01748-6
- Hordoir, R, Axell, L, Höglund, A, Dieterich, C, Fransner, F, Gröger, M, Liu, Y, Pemberton, P, Schimanke, S, Andersson, H, Ljungemyr, P, Nygren, P, Falahat, S, Nord, A, Jönsson, A, Lake, I, Döös, K, Hieronymus, M, Dietze, H, Löptien, U, Kuznetsov, I, Westerlund, A, Tuomi, L and Haapala, J. 2018. Nemo-nordic 1.0: A nemo based ocean model for baltic & north seas, research and operational applications. Geoscientific Model Development Discussions, 2018: 1–29. DOI: 10.5194/gmd-2018-2
- Jeworrek, J, Wu, L, Dieterich, C and Rutgersson, A. 2017. Characteristics of convective snow bands along the Swedish east coast. Earth System Dynamics, 8(1): 163–175. DOI: 10.5194/esd-8-163-2017
- Kudryavtseva, N, Pindsoo, K and Soomere, T. 2018. Non-stationary modeling of trends in extreme water level changes along the Baltic Sea coast. Journal of Coastal Research, 85: 586–590. DOI: 10.2112/SI85-118.1
- Lange, S. 2019. Trend-preserving bias adjustment and statistical downscaling with isimip3basd (v1.0). Geoscientific Model Development, 12(7): 3055–3070. DOI: 10.5194/gmd-12-3055-2019
- Madec, G, the NEMO team. (eds.) (2016.
NEMO ocean engine. Institut Pierre-Simon Laplace , Universit Pierre et Marie Curie, 4 place Jussieu, Paris, ISSN No 1288-1619. - Maraun, D, Shepherd, TG, Widmann, M, Zappa, G, Walton, D, Gutiérrez, JM, Hagemann, S, Richter, I, Soares, PMM, Hall, A and Mearns, LO. 2017. Towards process-informed bias correction of climate change simulations. Nature Climate Change, 764–773. DOI: 10.1038/nclimate3418
- Oppenheimer, M, Glavovic, B, Hinkel, J, van de Wal, R, Magnan, AK, Abd-Elgawad, A, Cai, R, Cifuentes-Jara, M, Deconto, RM, Ghosh, T, Hay, J, Isla, F, Marzeion, B, Meyssignac, B and Sebesvari, Z. 2019. Sea level rise and implications for low lying islands, coasts and communities. Tech. rep., Intergovernmental Panel on Climate Change Special Report on the Ocean and Cryosphere in a Changing Climate, in press.
- Räty, O, Laine, M, Leijala, U, Särkkä, J and Johansson, MM. 2022. Bayesian hierarchical modeling of sea level extremes in the finnish coastal region. Natural Hazards and Earth System Sciences Discussions, 2022: 1–23. DOI: 10.5194/nhess-2021-410-supplement
- Samuelsson, P, Jones, C, Willén, U, Ullerstig, U, Golvik, S, Hansson, U, Jansson, C, Kjellström, E, Nikulin, G and Wyser, K. 2011. The rossby centre regional climate model rca3: model description and performance. Tellus, 63A: 4–23. DOI: 10.1111/j.1600-0870.2010.00478.x
- Särkkä, J, Kahma, KK, Kämäräinen, M, Johansson, M and Saku, S. 2017. Simulated extreme sea levels at Helsinki. Boreal Env Res, 22: 299–315.
- SMHI. 2022. Tide-gauge list.
https://www.smhi.se/kunskapsbanken/stationslistahavsvattenstand-1.13981 , accessed: 2022-03-30. - Taylor, KE, Stouffer, RJ and Meehl, GA. 2012. An overview of cmip5 and the experiment design. Bulletin of the American Meteorological Society, 93(4): 485–498. DOI: 10.1175/BAMS-D-11-00094.1
- Teutschbein, C and Seibert, J. 2012. Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. Journal of Hydrology, 456–457: 12–29. DOI: 10.1016/j.jhydrol.2012.05.052
- van Vuuren, DP, Edmonds, J, Kainuma, M, Riahi, K, Thomson, A, Hibbard, K, Hurtt, GC, Kram, T, Krey, V, Lamarque, J-F, Masui, T, Meinshausen, M, Nakicenovic, N, Smith, SJ and Rose, SK. 2011. The representative concentration pathways: an overview. Climatic Change, 109(1): 5. DOI: 10.1007/s10584-011-0148-z
DOI: https://doi.org/10.16993/tellusa.3216 | Journal eISSN: 3035-9554
Language: English
Page range: 129 - 144
Submitted on: Oct 21, 2022
Accepted on: Jan 26, 2023
Published on: Feb 15, 2023
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2023 Magnus Hieronymus, Fredrik Hieronymus, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.