Publications Using climpred

Publications Using climpred#

Below is a list of publications that have made use of climpred in their analysis. We appreciate a reference to climpred, e.g., in your acknowledgements section to help build the community. Please cite [Brady and Spring, 2021].

You can also check which papers cite climpred on Google Scholar.

Feel free to open a Pull Request to add your publication to the list!

2026#

[1]

Melanie A. Schroers and Elinor Martin. Verification of atmospheric variables in s2s project models during extended extreme precipitation events. Weather and Forecasting, 41(1):3–21, 2026. doi:10.1175/WAF-D-24-0237.1.

2025#

[1]

Kristen Lesinger and Di Tian. Skillful subseasonal soil moisture drought forecasts with deep learning-dynamic models. Nature Communications, 16:62761, January 2025. doi:10.1038/s41467-025-62761-3.

[2]

Inès Mangolte, Sophie Cravatte, Alexandre Ganachaud, and Christophe Menkès. Investigating the predictability of marine heatwaves at subseasonal to seasonal timescales in new caledonia, south pacific. EGUsphere, 2025. doi:10.5194/egusphere-2025-5995.

2024#

[1]

Timothy B. Higgins and Aneesh C. Subramanian. Subseasonal potential predictability of horizontal water vapor transport and precipitation extremes in the north pacific. Weather and Forecasting, 39(6):1077–1095, December 2024. doi:10.1175/WAF-D-23-0170.1.

[2]

Sen Zhao, Fei-Fei Jin, Malte F. Stuecker, Philip R. Thompson, Jong-Seong Kug, Michael J. McPhaden, Mark A. Cane, Andrew T. Wittenberg, and Wenju Cai. Explainable el niño predictability from climate mode interactions. Nature, 630:891–898, June 2024. doi:10.1038/s41586-024-07534-6.

2023#

[1]

Richard Arsenault, David Huard, Jean-Luc Martel, Magali Troin, Juliane Mai, François Brissette, Christian Jauvin, Long Vu, James R. Craig, Trevor J. Smith, Travis Logan, Bryan A. Tolson, Ming Han, Francis Gravel, and Sébastien Langlois. The pavics-hydro platform: a virtual laboratory for hydroclimatic modelling and forecasting over north america. Environmental Modelling & Software, 168:105808, 2023. doi:10.1016/j.envsoft.2023.105808.

2022#

2021#

[1] (1,2)

Riley X. Brady and Aaron Spring. Climpred: Verification of weather and climate forecasts. Journal of Open Source Software, 6(59):2781, March 2021. doi:10/gh9646.

[2]

Aaron Spring. Internal Variability and Potential Predictability of the Global Carbon Cycle in a Perfect-Model Framework. PhD thesis, Universität Hamburg Hamburg, June 2021. doi:10.17617/2.3289580.

[3]

Aaron Spring, István Dunkl, Hongmei Li, Victor Brovkin, and Tatiana Ilyina. Trivial improvements in predictive skill due to direct reconstruction of the global carbon cycle. Earth System Dynamics, 12(4):1139–1167, November 2021. doi:10/gnjh74.

2020#

[1]

Riley X. Brady, Nicole S. Lovenduski, Stephen G. Yeager, Matthew C. Long, and Keith Lindsay. Skillful multiyear predictions of ocean acidification in the California Current System. Nature Communications, 11(1):1–9, May 2020. doi:10/ggtpks.

[2]

K. M. Krumhardt, N. S. Lovenduski, M. C. Long, J. Y. Luo, K. Lindsay, S. Yeager, and C. Harrison. Potential Predictability of Net Primary Production in the Ocean. Global Biogeochemical Cycles, 34(6):e2020GB006531, 2020. doi:10/gg9ss8.

[3]

Aaron Spring and Tatiana Ilyina. Predictability Horizons in the Global Carbon Cycle Inferred From a Perfect-Model Framework. Geophysical Research Letters, 47(9):e2019GL085311, 2020. doi:10/ggtbv2.

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