Dr Martin Widmann PhD

Dr Martin Widmann

School of Geography, Earth and Environmental Sciences
Senior Lecturer in climate science

Contact details

School of Geography, Earth and Environmental Sciences
University of Birmingham
B15 2TT

Dr Martin Widmann is a climate scientist. His current main research area is regional climate change, in particular the development and validation of statistical downscaling methods. He also studies past climates; the main activity in this field is the development of data assimilation methods to combine climate simulations with empirical knowledge from proxy data.

Postgraduate supervision

Martin Widmann is involved in the following funded research projects:

Transient GCM Simulations of the Mid-Holocene Climate and Comparison with Palaeoclimate Proxy Data (DEKLIM)
Southern Hemisphere Atmospheric Circulation (DEKLIM/Helmholtz Society)
Correction of Precipitation Simulated by General Circulation Models Using Model Output Statistics
Data Assimilation for Palaeoclimatic Applications (DEKLIM/Helmholtz Society)
Stability of Teleconnections and of Scale Relationships (DEKLIM)
Regional Climate Modelling for the European Alps (EU)

Dr Widmann welcomes enquiries from prospective doctoral researchers in his areas of interest.

Other activities

Administrative Responsibilities

Program leader MSc Applied Meteorology and Climatology


Recent publications


Maraun, D & Widmann, M 2018, Statistical downscaling and bias correction for climate research. Cambridge University Press, Cambridge. https://doi.org/10.1017/9781107588783


Pastén-zapata, E, Jones, JM, Moggridge, H & Widmann, M 2020, 'Evaluation of the performance of Euro-CORDEX regional climate models for assessing hydrological climate change impacts in Great Britain: a comparison of different spatial resolutions and quantile mapping bias correction methods', Journal of Hydrology, vol. 584, 124653, pp. 1-17. https://doi.org/10.1016/j.jhydrol.2020.124653

Gutiérrez, JM, Maraun, D, Widmann, M, Huth, R, Hertig, E, Benestad, R, Roessler, O, Wibig, J, Wilcke, R, Kotlarski, S, San Martín, D, Herrera, S, Bedia, J, Casanueva, A, Manzanas, R, Iturbide, M, Vrac, M, Dubrovsky, M, Ribalaygua, J, Pórtoles, J, Räty, O, Räisänen, J, Hingray, B, Raynaud, D, Casado, MJ, Ramos, P, Zerenner, T, Turco, M, Bosshard, T, Štěpánek, P, Bartholy, J, Pongracz, R, Keller, DE, Fischer, AM, Cardoso, RM, Soares, PMM, Czernecki, B & Pagé, C 2019, 'An intercomparison of a large ensemble of statistical downscaling methods over Europe: results from the VALUE perfect predictor cross-validation experiment', International Journal of Climatology, vol. 39, no. 9, pp. 3750-3785. https://doi.org/10.1002/joc.5462

Manning, C, Widmann, M, Bevacqua, E, Van Loon, AF, Maraun, D & Vrac, M 2019, 'Increased probability of compound long-duration dry & hot events in Europe during summer (1950-2013)', Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab23bf

Widmann, M 2019, 'Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment', International Journal of Climatology, vol. 39, no. 9, pp. 3819-3845. https://doi.org/10.1002/joc.6024

Maraun, D & Widmann, M 2018, 'Cross-validation of bias-corrected climate simulations is misleading', Hydrology and Earth System Sciences, vol. 22, pp. 4867–4873. https://doi.org/10.5194/hess-22-4867-2018

Manning, C, Widmann, M, Bevacqua, E, Van Loon, A, Maraun, D & Vrac, M 2018, 'Soil moisture drought in Europe: a compound event of precipitation and potential evapotranspiration on multiple timescales', Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-18-0017.1

Maraun, D, Widmann, M & Gutiérrez, JM 2018, 'Statistical downscaling skill under present climate conditions: a synthesis of the VALUE perfect predictor experiment', International Journal of Climatology. https://doi.org/10.1002/joc.5877

Volosciuk, C, Maraun, D, Vrac, M & Widmann, M 2017, 'A combined statistical bias correction and stochastic downscaling method for precipitation', Hydrology and Earth System Sciences, vol. 21, pp. 1693–1719. https://doi.org/10.5194/hess-21-1693-2017

Widmann, M 2017, 'Comparing proxy and model estimates of hydroclimate variability and change over the Common Era', Climate of the Past, vol. 13, pp. 1851-1900. https://doi.org/10.5194/cp-2017-37

Bevacqua, E, Maraun, D, Hobæk Haff, I, Widmann, M & Vrac, M 2017, 'Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy)', Hydrology and Earth System Sciences, vol. 21, pp. 2701-2723. https://doi.org/10.5194/hess-21-2701-2017

Maraun, D, Huth, R, Gutiérrez, JM, San Martin, D, Dubrovsky, M, Fischer, A, Hertig, E, Soares, PMM, Bartholy, J, Pongrácz, R, Widmann, M, Casado, MJ, Ramos, P & Bedia, J 2017, 'The VALUE perfect predictor experiment: evaluation of temporal variability', International Journal of Climatology.

Maraun, D, Shepherd, TG, Widmann, M, Zappa, G, Walton, D, Gutiérrez, JM, Hagemann, S, Richter, I, Soares, PMM, Hall, A & Mearns, LO 2017, 'Towards process-informed bias correction of climate change simulations', Nature Climate Change, vol. 7, pp. 764–773. https://doi.org/10.1038/nclimate3418

Other contribution

Widmann, M, Angus, M, Orr, A & Leckebusch, G 2020, Postprocessing heavy precipitation forecasts for India with Quantile Mapping.. https://doi.org/10.5194/egusphere-egu2020-19476

Review article

Eastwood, N, Stubbings, WA, Abdallah, MA-E, Durance, I, Paavola, J, Dallimer, M, Pantel, JH, Johnson, S, Zhou, J, Hosking, JS, Brown, J, Ullah, S, Krause, S, Hannah, D, Crawford, S, Widmann, M & Orsini, L 2022, 'The Time Machine framework: monitoring and prediction of biodiversity loss', Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2021.09.008

View all publications in research portal