List of publications

Publications

  • Haberlandt, U., Shehu, B., Thiele, L., Willems, W., Stockel, H., Deutschländer, T., Junghänel, T., Ostermöller, J. (2023): Methodische Untersuchungen für eine Neufassung der regionalisierten Starkregenstatistik KOSTRA-DWDHydrologie & Wasserbewirtschaftung, 67(3): 138-150
  • Haberlandt, U., Thiele, L.-B., Pidoto, R., Bartens, A. (2023): Ein Framework für die abgeleitete Hochwasserstatistik.Hydrologie & Wasserbewirtschaftung, 5: 308-322
  • Pidoto, R., Haberlandt, U. (2023): A semi-parametric hourly space-time weather generator.Hydrol. Earth Syst. Sci., 2023(27): 3957–3975
  • Shehu, B., Haberlandt, U. (2023): Uncertainty estimation of regionalised depth–duration–frequency curves in Germany.Hydrol. Earth Syst. Sci., 27(10): 2075-2097
  • Shehu, B., Willems, W., Stockel, H., Thiele, L.B., Haberlandt, U. (2023): Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany.Hydrol. Earth Syst. Sci., 27(5): 1109-1132
  • Willems, W., Stockel, H., Haberlandt, U., Shehu, B., Junghänel, T., Ostermöller, J., Deutschländer, T. (2023): Betrachtungen zur Instationarität extremer Niederschläge in Deutschland.Hydrologie & Wasserbewirtschaftung, 67(3): 151-159
  • Haberlandt, U., Krämer, S., Bárdossy, A., Bartens, A., Birkholz, P., Eisele, M., Fuchs, L., Herrmann, O.-C., Kuchenbecker, A., Maßmann, S., Pidoto, R., Müller, T., Seidel, J., Sympher, K. (2022): Kontinuierliche synthetische Niederschläge für stadthydrologische Bemessungen in Deutschland.Hydrologie und Wasserbewirtschaftung, 66(3): 106-121
  • Pidoto, R., Bezak, N., Müller-Thomy, H., Shehu, B., Callau-Beyer, A.C., Zabret, K., Haberlandt, U. (2022): Comparison of rainfall generators with regionalisation for the estimation of rainfall erosivity at ungauged sitesEarth Surf. Dynam., 10(4): 851-863
  • Shehu, B., Haberlandt, U. (2022): Improving radar-based rainfall nowcasting by a nearest-neighbour approach – Part 1: Storm characteristics.Hydrol. Earth Syst. Sci., 26(6): 1631-1658
  • Beylich, M., Haberlandt, U., Reinstorf, F. (2021): Daily vs. hourly simulation for estimating future flood peaks in mesoscale catchments.Hydrology Research, 52(4): 821-833
  • Nguyen, V.D., Merz, B., Hundecha, Y., Haberlandt, U., Vorogushyn, S. (2021): Comprehensive evaluation of an improved large-scale multi-site weather generator for Germany.International Journal of Climatology, 41(10): 4933-4956
  • Rözer, V., Peche, A., Berkhahn, S., Feng, Y., Fuchs, L., Graf, T., Haberlandt, U., Kreibich, H., Sämann, R., Sester, M., Shehu, B., Wahl, J., Neuweiler, I. (2021): Impact-Based Forecasting for Pluvial Floods.Earth's Future, 9(2): 2020EF001851
  • Shehu, B., Haberlandt, U. (2021): Relevance of merging radar and rainfall gauge data for rainfall nowcasting in urban hydrology.Journal of Hydrology, 594: 125931
  • Fangmann, A., Haberlandt, U. (2019): Statistical approaches for identification of low-flow drivers: temporal aspectsHydrology and Earth System Sciences 23, 447-463
  • B.Shehu, U.Haberlandt (2018): Radar data quality impact on rainfall nowcasting for urban drainage applicationUrbanrain 2018 Meeting, 04-06 December, Pontresina, Switzerland
  • B.Shehu, U.Haberlandt (2018): A KNN method for nowcasting rainfall intensities at fine temporal and spatial scalesERAD Meeting, 02-06 July, Ede, Netherlands
  • Callau Poduje, A. C., Haberlandt U. (2018): Spatio-Temporal Synthesis of Continuous Precipitation Series Using Vine CopulasWater 2018, 10(7), 862; More info
  • Callau Poduje, A. C., Haberlandt U. (2018): Bivariate modelling of rainfall events and the relationship with extreme valuesEGU General Assembly 2018 Vienna [PICO presentation] More info
  • Fangmann, A., Haberlandt, U. (2018): Climate change and low flows: A regional impact assessment using simple statistical approachesGeophysical Research Abstracts Vol. 20, EGU2018-6885-1, EGU General Assembly 2018, Vienna More info
  • Pidoto, R., Haberlandt, U. (2018): Spatial consistency of simulated rainfall at various spatial scales using a nested simulated annealing approachEGU General Assembly, 8-13 April 2018, Vienna
  • B.Shehu, U. Haberlandt (2017): Impact of merging methods on radar based nowcasting of rainfallEGU GENERAL ASSEMBLY, 24-28 APRIL 2017, Vienna | File |
  • B.Shehu, U.Haberlandt (2017): Comparison of a radar tracking and station based nowcasting of rainfallEMS Annual Meeting, 02-08 September, Dublin
  • Callau Poduje, A. C., Haberlandt U. (2017): Short time step continuous rainfall modeling and simulation of extreme eventsJournal of Hydrology, 552: 182-197.
  • Callau Poduje, A. C., Haberlandt U. (2017): Exploring the capability of Copulas to model precipitation in a high temporal resolutionStatistics in Hydrology (STAHY) International Workshop, 2017, Warsaw, Poland [oral presentation] More info
  • Callau Poduje, A. C., Leimbach S., Haberlandt U. (2017): Stochastic rainfall synthesis for urban applications using different regionalization methodsAGU Fall Meeting, New Orleans [poster presentation] | File |
  • Callau Poduje, A. C., Leimbach, S., Haberlandt U. (2017): Temporal synthesis of long continuous precipitation series for unobserved locationsEGU General Assembly 2017 Vienna [oral presentation] More info
  • Fangmann, A., Haberlandt, U. (2017): Statistical approaches for spatiotemporal prediction of low flowsAGU Fall Meeting 2017, New Orleans
  • Müller, H., Haberlandt, U. (2017): Generation of future high-resolution rainfall time series with a disaggregation modelEGU General Assembly, 24. – 28. April 2017, Vienna | File |
  • Müller, H., Haberlandt, U. (2017): Möglichkeiten der Niederschlagsprognosen für die Zukunft mit einem DisaggregationsmodellTag der Hydrologie, 23.-24. March 2017, Trier
  • Müller, H., Wallner, M., Förster, K., Haberlandt, U. (2017): Rainfall disaggregation for hydrological modelling: Is there a need for spatial consistence?EGU, 23.-28. April 2017, Vienna
  • Pidoto, R., Wallner, M., Haberlandt, U. (2017): Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approachEGU General Assembly, 23-28 April 2017, Vienna | File |
  • S. Plötner, U. Haberlandt, U. Petry (2017): Regionalisation of climate change factors of peak flow quantiles in Lower SaxonyEGU General Assembly, 2017, Vienna | File |
  • Fangmann, A., Haberlandt, U. (2016): Statistische Modellierung von Niedrigwasserkenngrößen auf Basis von TrockenwetterindizesTag der Hydrologie 2016, Koblenz
  • Müller, H., Haberlandt U. (2016): Temporal Rainfall Disaggregation with a Cascade Model: From Single-Station Disaggregation to Spatial RainfallJournal of Hydrologic Engineering 20(11): art. no. 04015026.

Abstract

  • Fangmann, A., Haberlandt, U. (2016): Regionalization of low flow indices in Lower SaxonyGeophysical Research Abstracts Vol. 18, EGU2016-5708, EGU General Assembly 2016, Vienna

Poster

  • Pidoto, R., Haberlandt, U., Anwar, F. (2019): Rainfall synthesis conditioned on circulation patternsEGU General Assembly, 7-12 April 2019, Vienna | File |
  • B.Shehu, U. Haberlandt (2017): Impact of merging methods on radar based nowcasting of rainfallEGU GENERAL ASSEMBLY, 24-28 APRIL 2017, Vienna | File |
  • Callau Poduje, A. C., Leimbach S., Haberlandt U. (2017): Stochastic rainfall synthesis for urban applications using different regionalization methodsAGU Fall Meeting, New Orleans [poster presentation] | File |
  • Müller, H., Haberlandt, U. (2017): Generation of future high-resolution rainfall time series with a disaggregation modelEGU General Assembly, 24. – 28. April 2017, Vienna | File |
  • Pidoto, R., Wallner, M., Haberlandt, U. (2017): Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approachEGU General Assembly, 23-28 April 2017, Vienna | File |
  • S. Plötner, U. Haberlandt, U. Petry (2017): Regionalisation of climate change factors of peak flow quantiles in Lower SaxonyEGU General Assembly, 2017, Vienna | File |