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Byun, Kyuhyun, Hamlet, Alan F (2025) An improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations. Environmental Research Letters, 20 (1). doi:10.1088/1748-9326/ad9b3d

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Reference TypeJournal (article/letter/editorial)
TitleAn improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations
JournalEnvironmental Research Letters
AuthorsByun, KyuhyunAuthor
Hamlet, Alan FAuthor
Year2025 (January 1)Volume20
Issue1
PublisherIOP Publishing
DOIdoi:10.1088/1748-9326/ad9b3dSearch in ResearchGate
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Mindat Ref. ID17774413Long-form Identifiermindat:1:5:17774413:8
GUID0
Full ReferenceByun, Kyuhyun, Hamlet, Alan F (2025) An improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations. Environmental Research Letters, 20 (1). doi:10.1088/1748-9326/ad9b3d
Plain TextByun, Kyuhyun, Hamlet, Alan F (2025) An improved empirical quantile mapping approach for bias correction of extreme values in climate model simulations. Environmental Research Letters, 20 (1). doi:10.1088/1748-9326/ad9b3d
In(2025, January) Environmental Research Letters Vol. 20 (1). IOP Publishing

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Wu, Xia, Liu, Zhu, Duan, Qingyun (2025) A combined wavelet analysis-quantile mapping (WA-QM) method for bias correction: capturing the intra-annual temporal patterns in climate model precipitation simulations and projections. Environmental Research Letters, 20 (2). doi:10.1088/1748-9326/adae23
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Ahlström, Anders, Schurgers, Guy, Smith, Benjamin (2017) The large influence of climate model bias on terrestrial carbon cycle simulations. Environmental Research Letters, 12 (1). 14004pp. doi:10.1088/1748-9326/12/1/014004
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Rohith, A. N., Cibin, Raj. (2024) An extremes-weighted empirical quantile mapping for global climate model data bias correction for improved emphasis on extremes. Theoretical and Applied Climatology, 155 (6) 5515-5523 doi:10.1007/s00704-024-04965-z
Lau, Sing; Ye, Kunhui; Woollings, Tim (2025) The winter North Atlantic Oscillation downstream teleconnection: insights from large-ensemble climate model simulations. Environmental Research Letters, 20 (8). doi:10.1088/1748-9326/ade4dc
Cannon, Alex J. (2018) Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables. Climate Dynamics, 50 (1). 31-49 doi:10.1007/s00382-017-3580-6
Tsutsui, Junichi, Smith, Chris (2025) Revisiting two-layer energy balance models for climate assessment. Environmental Research Letters, 20 (1). doi:10.1088/1748-9326/ad9ec5
Wehner, Michael F (2014) A temporary hiatus in warming of extreme temperatures is not unusual, nor inconsistent with model simulations of human-induced climate change. Environmental Research Letters, 9 (7). 71001pp. doi:10.1088/1748-9326/9/7/071001
 
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