Recent publications
Book
Maraun, D & Widmann, M 2018, Statistical downscaling and bias correction for climate research. Cambridge University Press, Cambridge. https://doi.org/10.1017/9781107588783
Article
Angus, M, Widmann, M, Orr, A, Ashrit, R, Leckebusch, GC & Mitra, A 2024, 'A comparison of two statistical postprocessing methods for heavy‐precipitation forecasts over India during the summer monsoon', Quarterly Journal of the Royal Meteorological Society, pp. 1-19. https://doi.org/10.1002/qj.4677
Manning, C, Widmann, M, Maraun, D, Van Loon, AF & Bevacqua, E 2023, 'Large spread in the representation of compound long-duration dry and hot spells over Europe in CMIP5', Weather and Climate Dynamics, vol. 4, no. 2, pp. 309–329. https://doi.org/10.5194/wcd-4-309-2023
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
Conference contribution
Lerdrittipong, S, Zhong, J, Widmann, M, Bradley, C & Dixon, S 2024, Investigating SST's Role in Seasonal Climate Variations: A WRF Model Analysis in the Tropical Zone, Thailand. in EGU General Assembly 2024., EGU24-21379, EGU General Assembly 2024, Vienna, Austria, 14/04/24. https://doi.org/10.5194/egusphere-egu24-21379
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, vol. 37, no. 2, pp. 138-146. https://doi.org/10.1016/j.tree.2021.09.008
View all publications in research portal