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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-DWD,
Hydrologie & Wasserbewirtschaftung, 67(3): 138-150
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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
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Shehu, B., Haberlandt, U.
(2023):
Uncertainty estimation of regionalised depth–duration–frequency curves in Germany.,
Hydrol. Earth Syst. Sci., 27(10): 2075-2097
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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
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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
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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
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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 sites,
Earth Surf. Dynam., 10(4): 851-863
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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
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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
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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
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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
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Shehu, B., Haberlandt, U.
(2021):
Relevance of merging radar and rainfall gauge data for rainfall nowcasting in urban hydrology.,
Journal of Hydrology, 594: 125931
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Fangmann, A., Haberlandt, U.
(2019):
Statistical approaches for identification of low-flow drivers: temporal aspects,
Hydrology and Earth System Sciences 23, 447-463
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B.Shehu, U.Haberlandt
(2018):
Radar data quality impact on rainfall nowcasting for urban drainage application,
Urbanrain 2018 Meeting, 04-06 December, Pontresina, Switzerland
-
B.Shehu, U.Haberlandt
(2018):
A KNN method for nowcasting rainfall intensities at fine temporal and spatial scales,
ERAD Meeting, 02-06 July, Ede, Netherlands
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Callau Poduje, A. C., Haberlandt U.
(2018):
Spatio-Temporal Synthesis of Continuous Precipitation Series Using Vine Copulas,
Water 2018, 10(7), 862;
More info
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Callau Poduje, A. C., Haberlandt U.
(2018):
Bivariate modelling of rainfall events and the relationship with extreme values,
EGU General Assembly 2018 Vienna [PICO presentation]
More info
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Fangmann, A., Haberlandt, U.
(2018):
Climate change and low flows: A regional impact assessment using simple statistical approaches,
Geophysical Research Abstracts Vol. 20, EGU2018-6885-1, EGU General Assembly 2018, Vienna
More info
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Pidoto, R., Haberlandt, U.
(2018):
Spatial consistency of simulated rainfall at various spatial scales using a nested simulated annealing approach,
EGU General Assembly, 8-13 April 2018, Vienna
-
B.Shehu, U. Haberlandt
(2017):
Impact of merging methods on radar based nowcasting of rainfall,
EGU GENERAL ASSEMBLY, 24-28 APRIL 2017, Vienna
| File |
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B.Shehu, U.Haberlandt
(2017):
Comparison of a radar tracking and station based nowcasting of rainfall,
EMS Annual Meeting, 02-08 September, Dublin
-
Callau Poduje, A. C., Haberlandt U.
(2017):
Short time step continuous rainfall modeling and simulation of extreme events,
Journal of Hydrology, 552: 182-197.
-
Callau Poduje, A. C., Haberlandt U.
(2017):
Exploring the capability of Copulas to model precipitation in a high temporal resolution,
Statistics in Hydrology (STAHY) International Workshop, 2017, Warsaw, Poland [oral presentation]
More info
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Callau Poduje, A. C., Leimbach S., Haberlandt U.
(2017):
Stochastic rainfall synthesis for urban applications using different regionalization methods,
AGU Fall Meeting, New Orleans [poster presentation]
| File |
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Callau Poduje, A. C., Leimbach, S., Haberlandt U.
(2017):
Temporal synthesis of long continuous precipitation series for unobserved locations,
EGU General Assembly 2017 Vienna [oral presentation]
More info
-
Fangmann, A., Haberlandt, U.
(2017):
Statistical approaches for spatiotemporal prediction of low flows,
AGU Fall Meeting 2017, New Orleans
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Müller, H., Haberlandt, U.
(2017):
Generation of future high-resolution rainfall time series with a disaggregation model,
EGU General Assembly, 24. – 28. April 2017, Vienna
| File |
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Müller, H., Haberlandt, U.
(2017):
Möglichkeiten der Niederschlagsprognosen für die Zukunft mit einem Disaggregationsmodell,
Tag der Hydrologie, 23.-24. March 2017, Trier
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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
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Pidoto, R., Wallner, M., Haberlandt, U.
(2017):
Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach,
EGU General Assembly, 23-28 April 2017, Vienna
| File |
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S. Plötner, U. Haberlandt, U. Petry
(2017):
Regionalisation of climate change factors of peak flow quantiles in Lower Saxony,
EGU General Assembly, 2017, Vienna
| File |
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Fangmann, A., Haberlandt, U.
(2016):
Statistische Modellierung von Niedrigwasserkenngrößen auf Basis von Trockenwetterindizes,
Tag der Hydrologie 2016, Koblenz
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Müller, H., Haberlandt U.
(2016):
Temporal Rainfall Disaggregation with a Cascade Model: From Single-Station Disaggregation to Spatial Rainfall,
Journal of Hydrologic Engineering 20(11): art. no. 04015026.
