Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1133-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1133-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2023
Research article |
| 15 Mar 2023
| 15 Mar 2023
How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation?
Department of Land Environment Agriculture and Forestry, University
of Padova, Padova, Italy
Francesco Marra
Department of Geosciences, University of Padova, Padova, Italy
National Research Council of Italy – Institute of Atmospheric
Sciences and Climate (CNR-ISAC), Bologna, Italy
Giorgia Fosser
University School for Advanced Studies – IUSS Pavia, Pavia, Italy
Marco Marani
Department of Civil, Environmental and Architectural Engineering,
University of Padova, Padova, Italy
Giuseppe Formetta
Department of Civil, Environmental and Mechanical Engineering,
University of Trento, Trento, Italy
Christoph Schär
Institute for Atmospheric and Climate Science, ETH Zürich,
Zurich, Switzerland
Marco Borga
Department of Land Environment Agriculture and Forestry, University
of Padova, Padova, Italy
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Qinggang Gao, Christian Zeman, Jesus Vergara-Temprado, Daniela C. A. Lima, Peter Molnar, and Christoph Schär
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Riccardo Rigon, Giuseppe Formetta, Marialaura Bancheri, Niccolò Tubini, Concetta D'Amato, Olaf David, and Christian Massari
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Francesco Marra, Moshe Armon, and Efrat Morin
Hydrol. Earth Syst. Sci., 26, 1439–1458, https://doi.org/10.5194/hess-26-1439-2022, https://doi.org/10.5194/hess-26-1439-2022, 2022
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Roman Brogli, Silje Lund Sørland, Nico Kröner, and Christoph Schär
Weather Clim. Dynam., 2, 1093–1110, https://doi.org/10.5194/wcd-2-1093-2021, https://doi.org/10.5194/wcd-2-1093-2021, 2021
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Elena Mondino, Anna Scolobig, Marco Borga, and Giuliano Di Baldassarre
Nat. Hazards Earth Syst. Sci., 21, 2811–2828, https://doi.org/10.5194/nhess-21-2811-2021, https://doi.org/10.5194/nhess-21-2811-2021, 2021
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Survey data collected over time can provide new insights on how different people respond to floods and can be used in models to study the complex coevolution of human–water systems. We present two methods to collect such data, and we compare the respective results. Risk awareness decreases only for women, while preparedness takes different trajectories depending on the damage suffered. These results support a more diverse representation of society in flood risk modelling and risk management.
Daniel Regenass, Linda Schlemmer, Elena Jahr, and Christoph Schär
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-426, https://doi.org/10.5194/hess-2021-426, 2021
Manuscript not accepted for further review
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Weather and climate models need to represent the water cycle on land in order to provide accurate estimates of moisture and energy exchange between the land and the atmosphere. Infiltration of water into the soil is often modeled with an equation describing water transport in porous media. Here, we point out some challenges arising in the numerical solution of this equation and show the consequences for the representation of the water cycle in modern weather and climate models.
Silje Lund Sørland, Roman Brogli, Praveen Kumar Pothapakula, Emmanuele Russo, Jonas Van de Walle, Bodo Ahrens, Ivonne Anders, Edoardo Bucchignani, Edouard L. Davin, Marie-Estelle Demory, Alessandro Dosio, Hendrik Feldmann, Barbara Früh, Beate Geyer, Klaus Keuler, Donghyun Lee, Delei Li, Nicole P. M. van Lipzig, Seung-Ki Min, Hans-Jürgen Panitz, Burkhardt Rockel, Christoph Schär, Christian Steger, and Wim Thiery
Geosci. Model Dev., 14, 5125–5154, https://doi.org/10.5194/gmd-14-5125-2021, https://doi.org/10.5194/gmd-14-5125-2021, 2021
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We review the contribution from the CLM-Community to regional climate projections following the CORDEX framework over Europe, South Asia, East Asia, Australasia, and Africa. How the model configuration, horizontal and vertical resolutions, and choice of driving data influence the model results for the five domains is assessed, with the purpose of aiding the planning and design of regional climate simulations in the future.
Christian Zeman, Nils P. Wedi, Peter D. Dueben, Nikolina Ban, and Christoph Schär
Geosci. Model Dev., 14, 4617–4639, https://doi.org/10.5194/gmd-14-4617-2021, https://doi.org/10.5194/gmd-14-4617-2021, 2021
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Kilometer-scale atmospheric models allow us to partially resolve thunderstorms and thus improve their representation. We present an intercomparison between two distinct atmospheric models for 2 summer days with heavy thunderstorms over Europe. We show the dependence of precipitation and vertical wind speed on spatial and temporal resolution and also discuss the possible influence of the system of equations, numerical methods, and diffusion in the models.
Yair Rinat, Francesco Marra, Moshe Armon, Asher Metzger, Yoav Levi, Pavel Khain, Elyakom Vadislavsky, Marcelo Rosensaft, and Efrat Morin
Nat. Hazards Earth Syst. Sci., 21, 917–939, https://doi.org/10.5194/nhess-21-917-2021, https://doi.org/10.5194/nhess-21-917-2021, 2021
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Flash floods are among the most devastating and lethal natural hazards worldwide. The study of such events is important as flash floods are poorly understood and documented processes, especially in deserts. A small portion of the studied basin (1 %–20 %) experienced extreme rainfall intensities resulting in local flash floods of high magnitudes. Flash floods started and reached their peak within tens of minutes. Forecasts poorly predicted the flash floods mostly due to location inaccuracy.
Marie-Estelle Demory, Ségolène Berthou, Jesús Fernández, Silje L. Sørland, Roman Brogli, Malcolm J. Roberts, Urs Beyerle, Jon Seddon, Rein Haarsma, Christoph Schär, Erasmo Buonomo, Ole B. Christensen, James M. Ciarlo ̀, Rowan Fealy, Grigory Nikulin, Daniele Peano, Dian Putrasahan, Christopher D. Roberts, Retish Senan, Christian Steger, Claas Teichmann, and Robert Vautard
Geosci. Model Dev., 13, 5485–5506, https://doi.org/10.5194/gmd-13-5485-2020, https://doi.org/10.5194/gmd-13-5485-2020, 2020
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Now that global climate models (GCMs) can run at similar resolutions to regional climate models (RCMs), one may wonder whether GCMs and RCMs provide similar regional climate information. We perform an evaluation for daily precipitation distribution in PRIMAVERA GCMs (25–50 km resolution) and CORDEX RCMs (12–50 km resolution) over Europe. We show that PRIMAVERA and CORDEX simulate similar distributions. Considering both datasets at such a resolution results in large benefits for impact studies.
Stefan Rüdisühli, Michael Sprenger, David Leutwyler, Christoph Schär, and Heini Wernli
Weather Clim. Dynam., 1, 675–699, https://doi.org/10.5194/wcd-1-675-2020, https://doi.org/10.5194/wcd-1-675-2020, 2020
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Most precipitation over Europe is linked to low-pressure systems, cold fronts, warm fronts, or high-pressure systems. Based on a massive computer simulation able to resolve thunderstorms, we quantify in detail how much precipitation these weather systems produced during 2000–2008. We find distinct seasonal and regional differences, such as fronts precipitating a lot in fall and winter over the North Atlantic but high-pressure systems mostly in summer over the continent by way of thunderstorms.
Barry Hankin, Ian Hewitt, Graham Sander, Federico Danieli, Giuseppe Formetta, Alissa Kamilova, Ann Kretzschmar, Kris Kiradjiev, Clint Wong, Sam Pegler, and Rob Lamb
Nat. Hazards Earth Syst. Sci., 20, 2567–2584, https://doi.org/10.5194/nhess-20-2567-2020, https://doi.org/10.5194/nhess-20-2567-2020, 2020
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With growing support for nature-based solutions to reduce flooding by local communities, government authorities and international organisations, it is still important to improve how we assess risk reduction. We demonstrate an efficient, simplified 1D network model that allows us to explore the
whole-systemresponse of numerous leaky barriers placed in different stream networks, whilst considering utilisation, synchronisation effects and cascade failure, and we provide advice on their siting.
Cited articles
Adinolfi, M., Raffa, M., Reder, A., and Mercogliano, P.: Evaluation and Expected Changes of Summer Precipitation at Convection Permitting Scale with
COSMO-CLM over Alpine Space, Atmosphere,, 12, 54, https://doi.org/10.3390/atmos12010054, 2020.
Allamano, P., Claps, P., Laio, F., and Thea, C.: A data-based assessment of the dependence of short-duration precipitation on elevation, Phys. Chem. Earth Pt. A/B/C, 3, 635–641, 2009.
Amponsah, W., Dallan, E., Nikolopoulos, E. I., and Marra, F.: Climatic and
topographic controls on rainfall extremes and their temporal changes in data-sparse tropical regions, J. Hydrol., 612, 128090,
https://doi.org/10.1016/j.jhydrol.2022.128090, 2022.
Arakawa, A. and Lamb, V.: Computational design of the basic dynamical processes in the UCLA general circulation model, in: Methods in computational physics: general circulation mod- els of the atmosphere, vol. 17, edited by: Chang, J., Academic Press, New York, 173–265, https://doi.org/10.1016/B978-0-12-460817-7.50009-4, 1970.
Avanzi, F., De Michele, C., Gabriele, S., Ghezzi, A., and Rosso, R.: Orographic signature on extreme precipitation of short durations, J. Hydrometeorol., 16, 278–294, 2015.
Avanzi, F., Ercolani, G., Gabellani, S., Cremonese, E., Pogliotti, P., Filippa, G., Morra di Cella, U., Ratto, S., Stevenin, H., Cauduro, M., and Juglair, S.: Learning about precipitation lapse rates from snow course data improves water balance modeling, Hydrol. Earth Syst. Sci., 25, 2109–2131,
https://doi.org/10.5194/hess-25-2109-2021, 2021.
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities, Mon. Weather Rev., 139,
3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011.
Ban, N., Schmidli, J., and Schär, C.: Evaluation of the convection-resolving regional climate modelling approach in decade-long simulations, J. Geophys. Res.-Atmos., 119, 7889–7907, https://doi.org/10.1002/2014JD021478, 2014.
Ban, N., Rajczak, J., Schmidli, J., and Schär, C.: Analysis of Alpine precipitation extremes using generalized extreme value theory in convection-resolving climate simulations, Clim. Dynam., 55, 61–75, https://doi.org/10.1007/s00382-018-4339-4, 2020.
Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi, M., Ahrens, B., Alias, A., Anders, I., Bastin, S., Belvsić, D., Berthou, S., Brisson, E., Cardoso, R. M., Chan, S. C., Christensen, O. B., Fernández, J., Fita L., Frisius, T., Gašparac, G., Giorgi, F., Goergen, K., Haugen, J. E., Hodnebrog, Ø., Kartsios, S., Katragkou, E., Kendon, E. J., Keuler, K., Lavin-Gullon, A., Lenderink, G., Leutwyler, D., Lorenz, T., Maraun, D., Mercogliano, P., Milovac, J., Panitz, H., Raffa, M., Remedio, A. R., Schär, C., Soares, P. M. M., Srnec, L., Steensen, B. M., Stocchi, P., Tölle, M. H., Truhetz, H., Vergara-Temprado, J., de Vries, H., Warrach-Sagi, K., Wulfmeyer, V., and Zander, M. J.: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation, Clim. Dynam., 57, 275–302, https://doi.org/10.1007/s00382-021-05708-w, 2021.
Belušic, A., Prtenjak, M. T., Güttler, I., Ban, N., Leutwyler, D., and Schär, C.: Near-surface wind variability over the broader Adriatic
region: insights from an ensemble of regional climate models, Clim. Dynam., 50, 4455–4480, https://doi.org/10.1007/s00382-017-3885-5, 2015.
Berg, P., Christensen, O. B., Klehmet, K., Lenderink, G., Olsson, J., Teichmann, C., and Yang, W.: Summertime precipitation extremes in a
EURO-CORDEX 0.11 ensemble at an hourly resolution, Nat. Hazards Earth Syst.
Sci., 19, 957–971, https://doi.org/10.5194/nhess-19-957-2019, 2019.
Berthou, S., Kendon, E. J., Chan, S. C., Ban, N., Leutwyler, D., Schär, C., and Fosser, G.: Pan-European climate at convection-permitting scale: a model intercomparison study, Clim. Dynam., 55, 35–59,
https://doi.org/10.1007/s00382-018-4114-6, 2020.
Borga, M., Stoffel, M., Marchi, L., Marra, F., and Jakob, M.: Hydrogeomorphic
response to extreme rainfall in headwater systems: flash floods and debris
flows, J. Hydrol., 518, 194–205, 2014.
Buishand, T. A.: Extreme rainfall estimation by combining data from several
sites, Hydrolog. Sci. J., 36, 345–365, https://doi.org/10.1080/02626669109492519, 1991.
Caruso, M. F. and Marani, M.: Extreme-coastal-water-level estimation and
projection: a comparison of statistical methods, Nat. Hazards Earth Syst.
Sci., 22, 1109–1128, https://doi.org/10.5194/nhess-22-1109-2022, 2022.
Cauteruccio, A., Colli, M., Stagnaro, M., Lanza, L. G., and Vuerich, E.:
Insitu Precipitation Measurements, in: Springer Handbook of Atmospheric
Measurements, edited by: Foken, T., Springer International Publishing, Cham,
359–400, ISBN 978-3-030-52171-4, https://doi.org/10.1007/978-3-030-52171-4_12, 2021.
Coppola, E., Sobolowski, S., Pichelli, E., Raffaele, F., Ahrens, B., Anders, I., Ban, N., Bastin, S., Belda, M., Belusic, D., Caldas-Alvarez, A.,. Cardoso, R. M., Davolio, S., Dobler, A., Fernandez, J., Fita, L., Fumiere, Q., Giorgi, F., Goergen, K., Güttler, I., Halenka, T., Heinzeller, D., Hodnebrog, Ø., Jacob, D., Kartsios, S., Katragkou, E., Kendon, E., Khodayar, S., Kunstmann, H., Knist, S., Lavín-Gullón, A., Lind, P., Lorenz, T., Maraun, D., Marelle, L., van Meijgaard, E., Milovac, J., Myhre, G., Panitz, H.-J., Piazza, M., Raffa, M., Raub, T., Rockel, B., Schär, C., Sieck, K., Soares, P. M. M., Somot, S., Srnec, L., Stocchi, P., Tölle, M. H., Truhetz, H., Vautard, R., de Vries, H., and Warrach-Sagi, K.: A first- of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean, Clim. Dynam., 55, 3–34, https://doi.org/10.1007/s00382-018-4521-8, 2020.
Dallan, E.: How well does a convection-permitting climate model represent the
reverse orographic effect of extreme hourly precipitation? – Observed
precipitation data [Data set], Zenodo [data set],
https://doi.org/10.5281/zenodo.7142385, 2022.
Dallan, E., Borga, M., Zaramella, M., and Marra, F.: Enhanced summer convection explains observed trends in extreme subdaily precipitation in the Eastern Italian Alps, Geophys. Res. Lett., 49, e2021GL096727,
https://doi.org/10.1029/2021GL096727, 2022.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and
Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the
data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597,
https://doi.org/10.1002/qj.828, 2011.
Doms, G. and Baldauf, M.: A description of the non-hydrostatic regional
COSMO-Model, part I: dynamics and numerics, DWD, Offenbach,
https://www.cosmo-model.org/content/model/cosmo/coreDocumentation/cosmo_dynamics_5.00.pdf (last access: 14 March 2023), 2015.
Efron, B. and Tibshirani, R. J.: An Introduction to the Bootstrap, Chapman
and Hall, New York, https://doi.org/10.1201/9780429246593, 1994.
Formetta, G., Marra, F., Dallan, E., Zaramella, M., and Borga, M.: Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation, Adv. Water Resour., 149, 104085,
https://doi.org/10.1016/j.advwatres.2021.104085, 2022.
Fosser, G., Khodayar, S., and Berg, P.: Benefit of convection permitting climate model simulations in the representation of convective precipitation, Clim. Dynam., 44, 45–60, https://doi.org/10.1007/s00382-014-2242-1, 2015.
Fosser, G., Kendon, E. J., Stephenson, D., and Tucker, S.: Convection-Permitting Models Offer Promise of More Certain Extreme Rainfall Projections, Geophys. Res. Lett. 47, e2020GL088151, https://doi.org/10.1029/2020GL088151, 2020.
Francipane, A., Pumo, D., Sinagra, M., La Loggia, G., and Noto, L. V.: A paradigm of extreme rainfall pluvial floods in complex urban areas: the flood event of 15 July 2020 in Palermo (Italy), Nat. Hazards Earth Syst. Sci., 21,
2563–2580, https://doi.org/10.5194/nhess-21-2563-2021, 2021.
Frei, C. and Schär, C.: A precipitation climatology of the Alps from
high-resolution rain-gauge observations, Int. J. Climatol., 18, 873–900,
https://doi.org/10.1002/(SICI)1097-0088(19980630)18:8<873::AID-JOC255>3.0.CO;2-9, 1998.
Gentry, M. S. and Lackmann, G. M.: Sensitivity of simulated tropical cyclone
structure and intensity to horizontal resolution, Mon. Weather Rev., 138,
688–704, https://doi.org/10.1175/2009MWR2976.1, 2010.
Harris, D., Menabde, M., Seed, A., and Austin, G.: Multifractal characterization of rain fields with a strong orographic influence, J. Geophys. Res., 101, 26405–26414, 1996.
Heise, E., Ritter, B., and Schrodin, R.: Operational implementation of the
multilayer soil model, COSMO Tech. Rep. No. 9, Tech. Rep. 5, COSMO Consortium, Offenbach, Germany, https://www.cosmo-model.org/content/model/cosmo/techReports/docs/techReport09.pdf (last access: 14 March 2023), 2006.
Hentgen, L., Ban, N., Kröner, N., Leutwyler, D., and Schär, C.: Clouds in convection- resolving climate simulations over Europe, J. Geophys. Res.-Atmos. 124, 3849–3870, https://doi.org/10.1029/2018JD030150, 2019.
Hohenegger, C., Brockhaus, P., and Schär, C.: Towards climate simulations at cloud-resolving scales, Meteorol. Z., 17, 383–394, https://doi.org/10.1127/0941-2948/2008/0303, 2008.
Hosseini, S. R., Scaioni, M., and Marani, M.: Extreme Atlantic hurricane
probability of occurrence through the Metastatistical Extreme Value Distribution, Geophys. Res. Lett., 47, 2019GL086138, https://doi.org/10.1029/2019GL086138, 2020.
Houze, R. A.: Orographic effects on precipitating clouds, Rev. Geophys., 50,
RG1001, https://doi.org/10.1029/2011RG000365, 2021.
IPCC: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, edited by: Shukla, P. R., Skea, J., Calvo Buendia, E., Masson-Delmotte, V., Pörtner, H. O., Roberts, D. C., Malley, J., https://www.ipcc.ch/srccl/ (last access: 10 March 2023), 2019.
Isotta, F. A., Frei, C., Weilguni, V., Perčec Tadić, M., Lassègues, P., Rudolf, B., Pavan, V., Cacciamani, C., Antolini, G.,
Ratto, S. M., Munari, M., Micheletti, S., Bonati, V., Lussana, C., Ronchi,
C., Panettieri, E., Marigo, G., and Vertačnik, G.: The climate of daily
precipitation in the Alps: development and analysis of a high-resolution
grid dataset from pan-Alpine rain-gauge data, Int. J. Climatol., 34,
1657–1675, https://doi.org/10.1002/joc.3794, 2014.
Johnson, G. L. and Hanson, C. L.: Topographic and atmospheric influences on
precipitation variability over a mountainous watershed, J. Appl. Meteorol.
Clim., 34, 68–87, 1995.
Katz, R. W., Parlange, M. B., and Naveau P.: Statistics of extremes in hydrology, Adv. Water Resour., 25, 1287–1304, 2002.
Kendon, E. J., Roberts, N. M., Senior, C. A., and Roberts, M. J.: Realism of
rainfall in a very high-resolution regional climate model, J. Climate, 25, 5791–5806, https://doi.org/10.1175/JCLI-D-11-00562.1, 2012.
Kendon, E. J., Ban, N., Roberts, N. M., Fowler, H. J., Roberts, M. J., Chan, S. C., Evans, J. P., Fosser, G., and Wilkinson, J. M.: Do convection-permitting regional climate models improve projections of future precipitation change?, B. Am. Meteorol. Soc., 98, 79–93, https://doi.org/10.1175/BAMS-D-15-0004.1, 2017.
Kendon, E. J., Prein, A. F., Senior, C. A., and Stirling, A.: Challenges and outlook for convection-permitting climate modelling, Philos. T. Roy. Soc. A, 379, 20190547, https://doi.org/10.1098/rsta.2019.0547, 2021.
Knist, S., Goergen, K., and Simmer, C.: Effects of land surface inhomogeneity on convection-permitting WRF simulations over Central Europe, Meteorol. Atmos. Phys., 132, 53–69, https://doi.org/10.1007/s00703-019-00671-y, 2020.
Leutwyler, D., Fuhrer, O., Lapillonne, X., Lüthi, D., and Schär, C.: Towards European-scale convection-resolving climate simulations with GPUs: a study with COSMO 4.19, Geosci. Model Dev., 9, 3393–3412, https://doi.org/10.5194/gmd-9-3393-2016, 2016.
Lind, P., Lindstedt, D., Kjellström, E., and Jones, C.: Spatial and Temporal Characteristics of Summer Precipitation over Central Europe in a Suite of High-Resolution Climate Models, J. Climate, 29, 3501–3518,
https://doi.org/10.1175/JCLI-D-15-0463.1, 2016.
Malby, A. R., Whyatt, J. D., Timmis, R. J., Wilby, R. L., and Orr, H. G.: Long-term variations in orographic rainfall: analysis and implications for upland catchments, Hydrolog. Sci. J., 52, 276–291, 2007.
Marani, M. and Ignaccolo, M.: A metastatistical approach to rainfall extremes, Adv. Water Resour., 79, 121–126, https://doi.org/10.1016/j.advwatres.2015.03.001, 2015.
Marra, F.: A Unified Framework for Extreme Sub-daily Precipitation Frequency
Analyses based on Ordinary Events – data & codes (Version v1), Zenodo [code and data set], https://doi.org/10.5281/zenodo.3971558, 2020.
Marra, F.: A test for the hypothesis: block maxima are samples from a parent distribution with Weibull tail (Version v1), Zenodo [code], https://doi.org/10.5281/zenodo.7234708, 2022.
Marra, F., Zoccatelli, D., Armon, M., and Morin, E.: A simplified MEV formulation to model extremes emerging from multiple nonstationary underlying processes, Adv. Water Resour., 127, 280–290, https://doi.org/10.1016/j.advwatres.2019.04.002, 2019.
Marra, F., Borga, M., and Morin, E.: A unified framework for extreme sub-daily precipitation frequency analyses based on ordinary events, Geophys. Res. Lett., 47, e2020GL090209, https://doi.org/10.1029/2020GL090209, 2020.
Marra, F., Armon, M., Borga, M., and Morin, E.: Orographic effect on extreme
precipitation statistics peaks at hourly time scales, Geophys. Res. Lett., 48, e2020GL091498, https://doi.org/10.1029/2020GL091498, 2021.
Marra, F. Armon, M., and Morin, E.: Coastal and orographic effects on extreme
precipitation revealed by weather radar observations, Hydrol. Earth Syst.
Sci., 26, 1439–1458, https://doi.org/10.5194/hess-26-1439-2022, 2022a.
Marra, F., Levizzani, V., and Cattani, E.: Changes in extreme daily precipitation over Africa: insights from a non-asymptotic statistical approach, J. Hydrol. X, 16, 100130, https://doi.org/10.1016/j.hydroa.2022.100130, 2022b.
Marra, F., Amponsah, W., and Papalexiou, S. M.: Non-asymptotic Weibull tails explain the statistics of extreme daily precipitation, Adv. Water Resour., 173, 104388, https://doi.org/10.1016/j.advwatres.2023.104388, 2023.
Marsham, J. H., Dixon, N., Garcia-Carreras, L., Lister, G. M. S., Parker, D.
J., Knippertz, P., and Birch, C.: The role of moist convection in the West
African monsoon system: Insights from continental-scale convection-permitting simulations, Geophys. Res. Lett., 40, 1843–1849, https://doi.org/10.1002/grl.50347, 2013.
Mazzoglio, P., Butera, I., Alvioli, M., and Claps, P.: The role of morphology in the spatial distribution of short-duration rainfall extremes in Italy,
Hydrol. Earth Syst. Sci., 26, 1659–1672, https://doi.org/10.5194/hess-26-1659-2022, 2022.
Mellor, G. and Yamada, T.: Development of a turbulence closure model for
geophysical fluid problems, Rev. Geophys., 20, 851–875,
https://doi.org/10.1029/RG020i004p00851, 1982.
Meredith, E. P, Ulbrich, U., Rust, H. W., and Truhetz, H.: Present and future diurnal hourly precipitation in 0.11∘ EURO-CORDEX models and at
convection-permitting resolution, Environ. Res. Commun., 3, 5, https://doi.org/10.1088/2515-7620/abf15e, 2020.
Miniussi, A. and Marani, M.: Estimation of Daily Rainfall Extremes Through the Metastatistical Extreme Value Distribution: Uncertainty Minimization and
Implications for Trend Detection, Water Resour. Res., 56, e2019WR026535,
https://doi.org/10.1029/2019WR026535, 2020.
Miniussi, A. and Marra, F.: Estimation of extreme daily precipitation return
levels at-site and in ungauged locations using the simplified MEV approach,
J. Hydrol., 603, 126946, https://doi.org/10.1016/j.jhydrol.2021.126946, 2021.
Napoli, A., Crespi, A., Ragone, F., Maugeri, M., and Pasquero, C.: Variability of orographic enhancement of precipitation in the Alpine region, Sci. Rep., 9, 1–8, 2019.
Overeem, A., Buishand, A., and Holleman, I.: Rainfall depth-duration-frequency curves and their uncertainties, J. Hydrol., 348, 124–134, https://doi.org/10.1016/j.jhydrol.2007.09.044, 2008.
Panosetti, D., Schlemmer, L., and Schär, C.: Convergence behavior of idealized convection-resolving simulations of summertime deep moist convection over land, Clim Dynam., 55, 215–234, https://doi.org/10.1007/s00382-018-4229-9, 2020.
Pichelli, E., Coppola, E., Sobolowski, S., Ban, N., Giorgi, F., Stocchi, P., Alias, A., Belušić, D., Berthou, S., Caillaud, C., Cardoso, R. M., Chan, S., Christensen, O. B., Dobler, A., de Vries, H., Goergen, K., Kendon, E. J., Keuler, K., Lenderink, G., Torge, L., Mishra, A. N., Panitz, H., Schär, C., Soares, P. M. M., Truhetz, H., and Vergara-Temprado, J.: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution part 2: historical and future simulations of precipitation, Clim. Dynam., 56, 3581–3602, https://doi.org/10.1007/s00382-021-05657-4, 2021.
Poschlod, B.: Using high-resolution regional climate models to estimate return levels of daily extreme precipitation over Bavaria, Nat. Hazards Earth Syst. Sci., 21, 3573–3598, https://doi.org/10.5194/nhess-21-3573-2021, 2021.
Poschlod, B., Ludwig, R., and Sillmann, J.: Ten-year return levels of
sub-daily extreme precipitation over Europe, Earth Syst. Sci. Data, 13,
983–1003, https://doi.org/10.5194/essd-13-983-2021, 2021.
Prein, A. F., Langhans, W., Fosser, G., Ferrone, A., Ban, N., Goergen, K., Keller, M., Tölle, M., Gutjahr, O., Feser, F., Brisson, E., Kollet, S., Schmidli, J., van Lipzig, N. P. M., and Leung, R.: A review on regional convection-permitting climate modeling: Demonstrations, prospects, and challenges, Rev. Geophys., 53, 323–361, https://doi.org/10.1002/2014RG000475, 2015.
Raschendorfer, M.: The new turbulence parameterization of LM, Model
Development and Application, COSMO Newsletter No. 1., 2001, http://www.cosmo-model.org/content/model/documentation/newsLetters/newsLetter01/newsLetter_01.pdf
(last access: 10 March 2023), 2001.
Reder, A., Raffa, M., Montesarchio, M., and Mercogliano, P.: Performance
evaluation of regional climate model simulations at different spatial and
temporal scales over the complex orography area of the Alpine region, Nat. Hazards, 102, 151–177, https://doi.org/10.1007/s11069-020-03916-x, 2020.
Reinhardt, T. and Seifert, A.: A three-category ice scheme for LMK, COSMO Newsletter, Vol. 6, Consortium for Small-Scale Modeling, Offenbach, Germany, 115–120, http://www.cosmo-model.org/content/model/documentation/newsLetters/newsLetter06/newsLetter_06.pdf (last access: 14 March 2023), 2006.
Richter, D.: Ergebnisse methodischer Untersuchungen zur Korrektur des
systematischen Messfehlers des Hellmann-Niederschlagsmessers, in: Bericht des
Deutschen Wetterdienstes, vol. 194, DWD – Dtsch. Wetterdienst, Offenbach, Germany, 93 pp., http://nbn-resolving.de/urn:nbn:de:101:1-201601274368 (last access: 10 March 2023), 1995.
Ritter, B. and Geleyn, J. F.: A comprehensive radiation scheme for numerical
weather prediction models with potential applications in climate simulations, Mon. Weather Rev., 120, 303–325, 1992.
Rockel, B., Will, A., and Hense, A.: The Regional Climate Model COSMO-CLM (CCLM), Meteorol. Z., 17, 347–348, 2008.
Roe, G. H.: Orographic precipitation, Annu. Rev. Earth Planet. Sci., 33,
645–671, 2005.
Rossi, M. W., Anderson, R. S., Anderson, S. P., and Tucker, G. E.: Orographic controls on subdaily rainfall statistics and flood frequency in the Colorado Front Range, USA, Geophys. Res. Lett., 47, e2019GL085086, https://doi.org/10.1029/2019GL085086, 2020.
Savi, S., Comiti, F., and Strecker, M. R.: Pronounced increase in slope instability linked to global warming: A case study from the eastern European Alps, Earth Surf. Proc. Land., 46, 1328–1347, https://doi.org/10.1002/esp.5100, 2021.
Schär, C., Fuhrer, O., Arteaga, A., Ban, N., Charpilloz, C., Di Girolamo,
S., Hentgen, L., Hoefler, T., Lapillonne, X., Leutwyler, D., Osterried, K.,
Panosetti, D., Rüdisühli, S., Schlemmer, L., Schulthess, T., Sprenger, M., Ubbiali, S., and Wernli, H.: Kilometer-scale climate models: Prospects and challenges, B. Am. Meteorol. Soc., 101, E567–E587,
https://doi.org/10.1175/BAMS-D-18-0167.1, 2020.
Sevruk, B.: Systematischer Niederschlagsmessfehler in der Schweiz, in: Der
Niederschlag in der Schweiz, Beitr. Geol. Schweiz. Hydrol., vol. 31,
Bundesamt für Wasser und Geol., Bern, Switzerland, 65–75, https://geo.scnat.ch/en/publications/uuid/i/80543902-2bfd-5095-8ea4-5fed7750d1dc-Der_Niederschlag_in_der_Schweiz (last access: 10 March 2023), 1985.
Skamarock, W. C.: Evaluating Mesoscale NWP Models Using Kinetic Energy Spectra, Mon. Weather Rev., 132, 3019–3032, 2004.
Steppeler, J., Doms, G., Schättler, U., Bitzer, H. W., Gassmann, A., Damrath, U., and Gregoric, G.: Meso-gamma scale forecasts using the nonhydrostatic model LM, Meteorol. Atmos. Phys., 82, 75–96, 2003.
Stoffel, M., Wyżga, B., and Marston, R. A.: Floods in mountain environments: a synthesis, Geomorphology, 272, 1–9,
https://doi.org/10.1016/j.geomorph.2016.07.008, 2016.
Taylor, C. M., Birch, C. E., Parker, D. J., Dixon, N., Guichard, F., Nikulin, G., and Lister, G. M.: Modeling soil moisture-precipitation feedback in the Sahel: importance of spatial scale versus convective parameterization, Geophys. Res. Lett., 40, 6213–6218, https://doi.org/10.1002/2013GL058511, 2013.
Tiedtke, M.: A comprehensive mass flux scheme for cumulus parametrization in
large-scale models, Mon. Weather Rev., 117, 1779–1800, 1989.
Velasquez, P., Messmer, M., and Raible, C. C.: A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1), Geosci. Model Dev., 13, 5007–5027, https://doi.org/10.5194/gmd-13-5007-2020, 2020.
Vidrio-Sahagún, C. T. and He, J.: Hydrological frequency analysis under
nonstationarity using the Metastatistical approach and its simplified version, Adv. Water Resour., 166, 104244, https://doi.org/10.1016/j.advwatres.2022.104244, 2022.
Villarini, G., Mandapaka, P. V., Krajewski, W. F., and Moore, R. J.: Rainfall and sampling uncertainties: A rain gauge perspective, J. Geophys. Res., 113, D11102, https://doi.org/10.1029/2007JD009214, 2008.
Wang, L., Marra, F., and Onof, C.: Modelling sub-hourly rainfall extremes
with short records – a comparison of MEV, Simplified MEV and point process
methods, in: European Geosci. Union (EGU) General Assembly 2020, online,
https://presentations.copernicus.org/EGU2020/EGU2020-6061_presentation.pdf
(last access: 10 March 2023), 2020.
Wicker, L. and Skamarock, W.: Time-splitting methods for elastic models using
forward time schemes, Mon. Weather Rev., 130, 2088–2097, 2002.
Wilson, P. S. and Toumi, R.: A fundamental probability distribution for heavy rainfall, Geophys. Res. Lett., 32, L14812, https://doi.org/10.1029/2005GL022465, 2005.
Yan, L., Xiong, L., Jiang, C., Zhang, M., Wang, D., and Xu, C.-Y.: Updating
intensity–duration–frequency curves for urban infrastructure design under
a changing environment, WIREs Water, 8, e1519, https://doi.org/10.1002/wat2.1519, 2021.
Zeman, C., Wedi, N. P., Dueben, P. D., Ban, N., and Schär, C.: Model intercomparison of COSMO 5.0 and IFS 45r1 at kilometer-scale grid spacing, Geosci. Model Dev., 14, 4617–4639, https://doi.org/10.5194/gmd-14-4617-2021, 2021.
Zorzetto, E., Botter, G., and Marani, M.: On the emergence of rainfall extremes from ordinary events, Geophys. Res. Lett., 43, 8076–8082,
https://doi.org/10.1002/2016GL069445, 2016.
Short summary
Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
Convection-permitting climate models could represent future changes in extreme short-duration...
