Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-10243-2026
https://doi.org/10.5194/gmd-19-10243-2026
Development and technical paper
 | 
28 Oct 2026
Development and technical paper |  | 28 Oct 2026

Calibration guidelines and a runoff-isotope module for lake proxy system modeling (PRYSM v2.0)

Rebecca G. Topness, Elizabeth K. Thomas, Michaela Fendrock, and Gerard A. Otiniano

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Cited articles

Acharya, S., Cluett, A. A., Grogan, A. L., Briner, J. P., Castañeda, I. S., and Thomas, E. K.: Holocene temperatures in southwestern Greenland controlled by topography, ice sheet proximity, and oceanic conditions, Clim. Past, 22, 1401–1421, https://doi.org/10.5194/cp-22-1401-2026, 2026. 
Almeida, M. C., Shevchuk, Y., Kirillin, G., Soares, P. M. M., Cardoso, R. M., Matos, J. P., Rebelo, R. M., Rodrigues, A. C., and Coelho, P. S.: Modeling reservoir surface temperatures for regional and global climate models: a multi-model study on the inflow and level variation effects, Geosci. Model Dev., 15, 173–197, https://doi.org/10.5194/gmd-15-173-2022, 2022. 
Arp, C. D., Jones, B. M., Whitman, M., Larsen, A., and Urban, F. E.: Lake Temperature and Ice Cover Regimes in the Alaskan Subarctic and Arctic: Integrated Monitoring, Remote Sensing, and Modeling1, J. Am. Water Resour. As., 46, 777–791, https://doi.org/10.1111/j.1752-1688.2010.00451.x, 2010. 
Bigham Stephens, D. L., Carlson, R. E., Horsburgh, C. A., Hoyer, M. V., Bachmann, R. W., and Canfield, D. E.: Regional distribution of Secchi disk transparency in waters of the United States, Lake Reserv. Manage., 31, 55–63, https://doi.org/10.1080/10402381.2014.1001539, 2015. 
Birkel, C., Miller, J., Watson, A., Anh Trinh, D., Durán-Quesada, A. M., Sánchez-Murillo, R., Soulsby, C., Terzer-Wassmuth, S., Tetzlaff, D., Uhlenbrook, S., Vystavna, Y., and Yoshimura, K.: Demystifying the art of isotope-enabled hydrological and climate modelling, Sci. Total Environ., 959, 178242, https://doi.org/10.1016/j.scitotenv.2024.178242, 2025. 
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Short summary
Lake models are powerful tools for disentangling complex past climate data preserved in sediments. These models can be hard to set-up for lakes that are not well-observed. We improve an existing model with code to simulate water runoff and establish guidelines for setting-up the model when data are scarce. Using our workflow, more scientists can apply this tool to more lakes and gain a better understanding of the climate histories stored in their sediments.
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