Articles | Volume 12, issue 7
Geosci. Model Dev., 12, 3055–3070, 2019
Geosci. Model Dev., 12, 3055–3070, 2019

Development and technical paper 17 Jul 2019

Development and technical paper | 17 Jul 2019

Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

Stefan Lange

Related authors

WFDE5: bias-adjusted ERA5 reanalysis data for impact studies
Marco Cucchi, Graham P. Weedon, Alessandro Amici, Nicolas Bellouin, Stefan Lange, Hannes Müller Schmied, Hans Hersbach, and Carlo Buontempo
Earth Syst. Sci. Data, 12, 2097–2120,,, 2020
Short summary
ATTRICI 1.0 – counterfactual climate for impact attribution
Matthias Mengel, Simon Treu, Stefan Lange, and Katja Frieler
Geosci. Model Dev. Discuss.,,, 2020
Revised manuscript accepted for GMD
Short summary
The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests
Christopher P. O. Reyer, Ramiro Silveyra Gonzalez, Klara Dolos, Florian Hartig, Ylva Hauf, Matthias Noack, Petra Lasch-Born, Thomas Rötzer, Hans Pretzsch, Henning Meesenburg, Stefan Fleck, Markus Wagner, Andreas Bolte, Tanja G. M. Sanders, Pasi Kolari, Annikki Mäkelä, Timo Vesala, Ivan Mammarella, Jukka Pumpanen, Alessio Collalti, Carlo Trotta, Giorgio Matteucci, Ettore D'Andrea, Lenka Foltýnová, Jan Krejza, Andreas Ibrom, Kim Pilegaard, Denis Loustau, Jean-Marc Bonnefond, Paul Berbigier, Delphine Picart, Sébastien Lafont, Michael Dietze, David Cameron, Massimo Vieno, Hanqin Tian, Alicia Palacios-Orueta, Victor Cicuendez, Laura Recuero, Klaus Wiese, Matthias Büchner, Stefan Lange, Jan Volkholz, Hyungjun Kim, Joanna A. Horemans, Friedrich Bohn, Jörg Steinkamp, Alexander Chikalanov, Graham P. Weedon, Justin Sheffield, Flurin Babst, Iliusi Vega del Valle, Felicitas Suckow, Simon Martel, Mats Mahnken, Martin Gutsch, and Katja Frieler
Earth Syst. Sci. Data, 12, 1295–1320,,, 2020
Short summary
The economically optimal warming limit of the planet
Falko Ueckerdt, Katja Frieler, Stefan Lange, Leonie Wenz, Gunnar Luderer, and Anders Levermann
Earth Syst. Dynam., 10, 741–763,,, 2019
Short summary
The effect of univariate bias adjustment on multivariate hazard estimates
Jakob Zscheischler, Erich M. Fischer, and Stefan Lange
Earth Syst. Dynam., 10, 31–43,,, 2019
Short summary

Related subject area

Climate and Earth system modeling
Recalibrating decadal climate predictions – what is an adequate model for the drift?
Alexander Pasternack, Jens Grieger, Henning W. Rust, and Uwe Ulbrich
Geosci. Model Dev., 14, 4335–4355,,, 2021
Short summary
Multi-variate factorisation of numerical simulations
Daniel J. Lunt, Deepak Chandan, Alan M. Haywood, George M. Lunt, Jonathan C. Rougier, Ulrich Salzmann, Gavin A. Schmidt, and Paul J. Valdes
Geosci. Model Dev., 14, 4307–4317,,, 2021
Short summary
Inclusion of a suite of weathering tracers in the cGENIE Earth system model – muffin release v.0.9.23
Markus Adloff, Andy Ridgwell, Fanny M. Monteiro, Ian J. Parkinson, Alexander J. Dickson, Philip A. E. Pogge von Strandmann, Matthew S. Fantle, and Sarah E. Greene
Geosci. Model Dev., 14, 4187–4223,,, 2021
Short summary
The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region
Alessandro Anav, Adriana Carillo, Massimiliano Palma, Maria Vittoria Struglia, Ufuk Utku Turuncoglu, and Gianmaria Sannino
Geosci. Model Dev., 14, 4159–4185,,, 2021
Short summary
CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model
Markus Drüke, Werner von Bloh, Stefan Petri, Boris Sakschewski, Sibyll Schaphoff, Matthias Forkel, Willem Huiskamp, Georg Feulner, and Kirsten Thonicke
Geosci. Model Dev., 14, 4117–4141,,, 2021
Short summary

Cited articles

AORI, NIES, and JAMSTEC: MIROC5 model output prepared for CMIP5 historical, served by ESGF,, 2015a. a
AORI, NIES, and JAMSTEC: MIROC5 model output prepared for CMIP5 rcp85, served by ESGF,, 2015b. a
Cannon, A. J.: Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables, Clim. Dynam., 50, 31–49,, 2017. a, b, c, d
Cannon, A. J., Sobie, S. R., and Murdock, T. Q.: Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?, J. Climate, 28, 6938–6959,, 2015. a, b
Denvil, S., Foujols, M. A., Caubel, A., Marti, O., Dufresne, J.-L., Bopp, L., Cadule, P., Ethé, C., Idelkadi, A., Mancip, M., Masson, S., Mignot, J., Ionela, M., Balkanski, Y., Bekki, S., Bony, S., Braconnot, P., Brockman, P., Codron, F., Cozic, A., Cugnet, D., Fairhead, L., Fichefet, T., Flavoni, S., Guez, L., Guilyardi, E., Hourdin, F., Ghattas, J., Kageyama, M., Khodri, M., Labetoulle, S., Lefebvre, M.-P., Levy, C., Li, L., Lott, F., Madec, G., Marchand, M., Meurdesoif, Y., Rio, C., Schulz, M., Swingedouw, D., Szopa, S., Viovy, N., and Vuichard, N.: IPSL-CM5A-LR model output prepared for CMIP5 historical experiment, served by ESGF,, 2016. a
Short summary
Compared to their predecessors, the new Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) methods for bias adjustment and statistical downscaling allow for a more robust adjustment of extreme values and spatial variability, preserve trends more accurately across quantiles, and facilitate a clearer separation of bias adjustment and statistical downscaling.