Research interests

• Stochastic precipitation models

• Stochastic Parametrisations

• Extreme convective events

• Decadal prediction

• Forecast verification

• Statistical modelling (Circulation patterns: definition and comparison, Extreme value statistics, Statistical downscaling)

• Time series analysis, Long-range dependence

Associated activities

Academic positions

Academic education

Regular teaching activities

Meteorology Master (MSc.)

• Statistische Modelle in den Geowissenschaften (Statistical models in geosciences)

(lecture 2hrs/week, computer lab 2hrs/week, regular assignments). Language: German. Skript.

• Wetter- und Klimadiagnose (Weather and climate diagnostics)

A seminar for Meteorology major students: block on spatio-temporal variability (lecture 1×2h and computer lab 1×2h), associated seminar (2hrs/week), exams (written/oral). Language: German/English.

• Meteorologische Extremereignisse (Meteorological extreme events)

Block on extreme value statistics (lecture 2×2h and computer lab 2×2h), associated seminar (2hrs/week), exams  (written/oral). Language: German. Skript, Folien.

• Interdisziplinäre Naturrisikoforschung (Interdisziplinary Risk Research)

An interdisziplinary course on risk research taught together with psychologists and social scientists.

Meteorology Bachelor (BSc.)

• Einführung in die Statistik und Wahrscheinlichkeitstheorie (Introduction to statistics and probability theory)

A course for Meteorology major students (lecture 2hrs/week, computer lab 2hrs/week, R-Course 2hrs/week), exams (written). Language: German. Skript.

• Meteorologisches Instrumentenpraktikum (Meteorological instruments)

A lab course for Meteorology major students (lab course and seminar, 4hrs/week). Language: German. Wiki.

Extracurricular seminars

• Introduction to modelling of extreme events

1-week block for PhD students. Script.

Miscellaneous

• Hauptkomponentenanalyse

A short primer on principal components analysis (PCA), in German. Script, Folien.

• Spectral Analysis of Stochastic Processes

A course given at the E2C2/GIACS Advanced School in Comorova, Romania in 2007. Script.

Supervising

Bachelor's theses

Supervised	Title
X	Vergleich von hochaufgelösten Niederschlagsbeobachtungen an Hellmann und Kippwaage
X	Qualität der dekadischen Vorhersage von Frosttagen im MPI-ESM-LR
X	Analyse des Zusammenhangs der Nordatlantischen Oszillation (NAO) und dem Pazifik- Nordamerka-Telekonnektionsmuster (PNA)
X	Beurteilung einer Abschätzung des geostrophischen Windes aus Druckdreiecken
X	Untersuchung der (Un-)Wetterabhöngigkeit der Nutzung des Internets für Wetterinformation
X	Klimawandel bezogen auf Wetterlagen
X	Climate Extremes Indices - Berechnung für Berlin und Vergleich zu einem globalen Datensatz
X	Regressionsanalysen zur Ableitung einer Optimal-Vorhersage, basierend auf der Kombination von Kurzfristvorhersagen der Teilnehmer am Berliner Wetterturnier
X	Analyse des variablen Zusammenhangs zwischen NAO und ENSO
X	Windstauvorhersage für die Deutsche Bucht -- Probabilistische Modellierung und Verifikation
X	Persistence of atmospheric blockings - An analysis of blocking duratins with the use of a generalized linear model
X	Point Vortex Dynamics and Atmospheric Blocking -- Analysis of an Automated Blocking Classification Scheme

Master's and Diploma Theses

Supervised	Title
X	Saisonale Variation der Minimal- und Maximaltemperaturen in Europa
X	Untersuchung saisonaler Variatin von Extremniederschlägen in Deutschland mittels instationärer statistischer Modelle
X	DSI und Niederschlag auf verschiedenen räumlichen Aggregationsstufen
X	Untersuchung des Einflusses atmosphärischer Zirkulatinsmuster auf Temperatur und Niederschlag in Europa mittels multipler linearer Regressionsmodelle
X	Index-basierte Charakterisierung der Zyklonenaktivität auf der Nordhemisphäre
X	Implementierung, Validierung und Untersuchung der Intensitäts-Andauer- Beziehung eines stochastischen Niederschlagmodells
X	Application of a flow field correction method to the Atlantic Ocean in the MPI-ESM
X	Modulation des pazifischen Einflusses auf die Nordatlantische Oszillation (NAO) durch die Atlantische Multidekaden-Oszillation (AMO)
X	Einfluss der Orographie auf Extremniederschlag
X	Drift Quantification and Adjustment in Decadal Predictions of Climate Extremes Indices
X	Regression Quantile Mapping -- A new approach to bias correction with consistent quantile trends
X	Von konvektiver zu stratiformer Struktur: Eigenschaften von Niederschlag in COSMO-REA2
X	Beurteilung des Windenergiepotentials unter unterschiedlichen RCP- Szenarien am Ende des 21. Jahrhunderts im Raum der Metropolregion Hannover-Braunschweig-Göttingen Wolfsburg
X	Frostrisiko von Obstblüten im Klimawandel
X	Markov Modelle für Blockierungen
X	Low-Level Jets - Entstehungsmechanismen und Potential für die Windenergie

PhD Theses

Supervised	Title
C	The effect of meteorological hazards on dynamic vulnerability (Andreas Trojand, started 2021)
C	An approach for the classification of European windstorms (Christian Passow, 2022, within the graduate research school Natural Hazards and Risks in a Changing World)
X	Extreme Rainfall Events: Incorporating Temporal and Spatial Dependence to Improve Statistical Models, (Oscar Esli Jurado de Larios, 2022)
X	Statistical Modelling of Extreme Precipitation on Different Timescales – Towards Consistent and More Efficient use of Available Data (Jana Ulrich, 2022, within the graduate research school Natural Hazards and Risks in a Changing World)
X	Factors affecting the severity of European winter windstorms (Thomas Moran, 2020, within the graduate research school Natural Hazards and Risks in a Changing World)
X	Detection and characterisation of atmospheric blockings and their influence on meteorological extremes in Europe
X	Spatio-temporal response of extreme precipitation to climate change and decadal climate variability (Madlen Fischer, 2015, within the graduate research school Natural Hazards and Risks in a Changing World)
X	Identification, decadal prediction and regionalisation of winter storms over Europe (Tim Kruschke, funded by BMBF, MiKlip, 2011-2015)
C	Spatio-temporal precipitation patterns: from teleconnections to improved long-term forecasts (Diliara Willink, 2019)

Ongoing projects

BINGO -- Bringing INnovation to onGOing Water Management – A better Future under Climate Change

The project aims at providing practical knowledge and tools to water managers affected by climate change to better cope with climate projections and near-term climate predictions (decadal predictions). The work package led by the Institute of Meteorology of Freie Universität Berlin will particularly address hydrological extreme conditions within climate change scenarios and decadal climate predictions, focusing on six representative areas across Europe.

Homepage: www.projectbingo.eu

Project Scientists: Christos Vagenas, Edmund Meredith, Agbeko K. Kpogo-Nuwoklo

Natural Hazards and Risks in a Changing World 

A graduate research school with the University of Potsdam, Potsdam Institute for Climate Impact Research (PIK), Helmholtz Centre Potsdam German Research Centre for Geosciences GFZ.

• P3: Spatio-temporal response of extreme precipitation to climate change and decadal climate variability, A project together with Matthias Holschneider, University of Potsdam and Uwe Ulbrich, Project scientist: Madlen Fischer

• I1: Natural hazards in a changing climate – What causes the variability?, A project together with Uwe Ulbrich, Project scientist: Thomas Moran

Effects of extreme teleconnection indices on climate parameters of Central Europe based on RCM simulations

A project together with Uwe Ulbrich.

Project scientist: Eftychia Rousi 

Blocking

A project together with the German Weather Service (DWD).

Project scientist: Andy Richling

Coupling a multiscale stochastic precipitation model to large scale atmospheric flow is part of the Collaborative Research Center SFB1114: Scaling Cascades in Complex Systems. A stochastic precipitation model is investigated for means to be linked to atmospheric flow via the use of the Dynamic State Index (DSI). The project is carried out together with Peter Nevir (Theoretical Meteorology). Project scientists are Annette Müller and Christoph Ritschel.

MiKlip II (Mittelfristige Klimaprognose, second phase, since 2015) is the German initiative for decadal climate prediction funded by the Ministry of Education and Research (BMBF), a research alliance in 5 modules:

• ECO: Coordination of the process-oriented validation and forecast verification activities in MiKlip II (Module E). Development and Implementation of a drift correction framework

• CALIBRATION: Re-Calibration of probabilistic decadal forecast

• STOC: Storm-ocean interaction on decadal timescales

Finished projects

ResearcherID: F-2961-2013

Accepted, under review or submitted

Published in peer-reviewed journals

Li, Yan, Huang, Bo, Rust, H.W Using statistical models to depict the response of multi-timescale drought to forest cover change across climate zones, Hydrology and Earth System Sciences, 28, 321–339, 2024, https://doi.org/10.5194/hess-28-321-2024

Hohenegger, C., Ament, F., Beyrich, F., Löhnert, U., Rust, H., Bange, J., Böck, T., Böttcher, C., Boventer, J., Burgemeister, F., Clemens, M., Detring, C., Detring, I., Dewani, N., Duran, I. B., Fiedler, S., Göber, M., van Heerwaarden, C., Heusinkveld, B., Kirsch, B., Klocke, D., Knist, C., Lange, I., Lauermann, F., Lehmann, V., Lehmke, J., Leinweber, R., Lundgren, K., Masbou, M., Mauder, M., Mol, W., Nevermann, H., Nomokonova, T., Päschke, E., Platis, A., Reichardt, J., Rochette, L., Sakradzija, M., Schlemmer, L., Schmidli, J., Shokri, N., Sobottke, V., Speidel, J., Steinheuer, J., Turner, D. D., Vogelmann, H., Wedemeyer, C., Weide-Luiz, E., Wiesner, S., Wildmann, N., Wolz, K. and Wetz, T.: FESSTVaL: the Field Experiment on Submesoscale Spatio Temporal Variability in Lindenberg, Bulletin of the American Meteorological Society, American Meteorological Society, 2023. https://doi.org/10.1175/BAMS-D-21-0330.1

Battaglioli, F., Groenemeijer, P., Púčik, T., Taszarek, M., Ulbrich, U. and Rust, H.: Modelled multidecadal trends of lightning and (very) large hail in Europe and North America (1950–2021), Journal of Applied Meteorology and Climatology, American Meteorological Society, 2023. https://doi.org/10.1175/JAMC-D-22-0195.1

Riebold, J., Richling, A., Ulbrich, U., Rust, H., Semmler, T. and Handorf, D.: On the linkage between future Arctic sea ice retreat, Euro-Atlantic circulation regimes and temperature extremes over Europe, Weather and Climate Dynamics, Copernicus GmbH, 2023, Vol. 4(3), pp. 663-682. https://doi.org/10.5194/wcd-4-663-2023

Fauer, F. S. and Rust, H. W.: Non-stationary large-scale statistics of precipitation extremes in central Europe, Stochastic Environmental Research and Risk Assessment, Springer Science and Business Media LLC, 2023. https://doi.org/10.1007/s00477-023-02515-z

Sieg, T., Kienzler, S., Rözer, V., Vogel, K., Rust, H., Bronstert, A., Kreibich, H., Merz, B. and Thieken, A. H.: Toward an adequate level of detail in flood risk assessments, Journal of Flood Risk Management, Wiley, 2023. http://doi.org/10.1111/jfr3.12889

Göber, M., Christel, I., Hoffmann, D., Mooney, C. J., Rodriguez, L., Becker, N., Ebert, E. E., Fearnley, C., Fundel, V. J., Geiger, T., Golding, B., Jeurig, J., Kelman, I., Kox, T., Magro, F.-A., Perrels, A., Postigo, J. C., Potter, S. H., Robbins, J., Rust, H., Schoster, D., Tan, M. L., Taylor, A. and Williams, H.: Enhancing the Value of Weather and Climate Services in Society: Identified Gaps and Needs as Outcomes of the First WMO WWRP/SERA Weather and Society Conference, Bulletin of the American Meteorological Society, American Meteorological Society, 2023, Vol. 104(3), pp. E645-E651. https://doi.org/10.1175/bams-d-22-0199.1

Jurado, O., Oesting, M., Rust, H.W.: Implications of modeling seasonal differences in the extremal dependence of rainfall maxima, Stoch. Environ. Risk Assess. (2022) https://doi.org/10.1007/s00477-022-02375-z

Caldas-Alvarez, A., Augenstein, M., Ayzel, G., Barfus, K., Cherian, R., Dillenardt, L.,Fauer, F., Feldmann, H., Heistermann, M., Karwat, A., Kaspar, F., Kreibich, H., Lucio-Eceiza, E. E., Meredith, E. P., Mohr, S., Niermann, D., Pfahl, S., Ruff, F., Rust, H. W., Schoppa, L., Schwitalla, T., Steidl, S., Thieken, A. H., Tradowsky, J. S., Wulfmeyer, V., and Quaas, J.: Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area, Nat. Hazards Earth Syst. Sci., 22, 3701–3724, https://doi.org/10.5194/nhess-22-3701-2022, 2022.

Becker, N., Rust, H.W. & Ulbrich, U. Weather impacts on various types of road crashes: a quantitative analysis using generalized additive models. Eur. Transp. Res. Rev. 14, 37 (2022). https://doi.org/10.1186/s12544-022-00561-2

Becker, N., Rust, H.W. & Ulbrich, U. Modeling hourly weather-related road traffic variations for different vehicle types in Germany. Eur. Transp. Res. Rev. 14, 16 (2022). https://doi.org/10.1186/s12544-022-00539-0

Otero, N., Jurado, O. E., Butler, T., and Rust, H. W.: The impact of atmospheric blocking on the compounding effect of ozone pollution and temperature: a copula-based approach, Atmos. Chem. Phys., 22, 1905–1919, https://doi.org/10.5194/acp-22-1905-2022, 2022.

R. Polzin, A. Müller, H. W. Rust, P. Névir, P. Koltai: Direct Bayesian model reduction of smaller scale convective activity conditioned on large scale dynamics, Nonlin. Processes Geophys., 29, 37–52, https://doi.org/10.5194/npg-29-37-2022, 2022.

Otero, N., Rust, H. W. and Butler, T.: Temperature dependence of tropospheric ozone under NOx reductions over Germany, Atmospheric Environment, Elsevier BV, 2021, Vol. 253, pp. 118334. https://doi.org/10.1016/j.atmosenv.2021.118334

F. Fauer, J. Ulrich, O. Jurado, H. W. Rust, Flexible and Consistent Quantile Estimation for Intensity-Duration-Frequency Curves, Hydrol. Earth. Sys. Sci., 25, 6479–6494, https://doi.org/10.5194/hess-25-6479-2021, 2021

J. Ulrich, F. Fauer, H. W. Rust, Modeling seasonal variations of extreme rainfall on different time scales in Germany, Hydrol. Earth. Sys. Sci., 25, 6133–6149, https://doi.org/10.5194/hess-25-6133-2021, 2021

T. Kox, H.W. Rust, B. Wentzel, M. Göber, C. Böttecher, J. Lehmke, E. Freundl, M. Garschagen, Build and measure: Students report weather impacts and collect
weather data using self-built weather stations, Austral. J. Disaster Trauma Stud., 25 (3), 79-86, 2021

C. Detring, L. Schielicke, A. Müller, P. Névir, H.W. Rust, Occurrence and transition probabilities of Omega and High-over-Low blocking in the Euro-Atlantic region, Weather Clim Dynam., 2, 927-952, 2021

A. Pasternack, J. Grieger, H. W. Rust, U. Ulbrich: Recalibrating Decadal Climate Predictions – What is an adequate model for the drift?, Geosci. Model Dev. 14, 4335–4355, https://doi.org/10.5194/gmd-14-4335-2021, 2021

E. P. Meredith, . Ulbrich, H. W. Rust, H. Truhetz: Present and future diurnal hourly precipitation in 0.11° EURO-CORDEX models and at convection-permitting resolution. Envir. Res. Comm. 3(5), 055002. https://doi.org/10.1088/2515-7620/abf15e, 2021

C .Kadow, S. Illing, E. E. Lucio-Eceiza, M. Bergemann, M. Ramadoss, P. S. Sommer, O. Kunst, T. Schartner, K. Pankatz , J. Grieger, M. Schuster, A. Richling, H. Thiemann, I. Kirchner,  H. W. Rust, T. Ludwig, U. Cubasch, U. Ulbrich Introduction to Freva – A Free Evaluation System Framework for Earth System Modeling. J. Open Res. Software, 9(1) (2021)

Becker, N., Rust, H. W., and Ulbrich, U.: Predictive modeling of hourly probabilities for weather-related road accidents, Nat. Hazards Earth Syst. Sci., 20, 2857–2871, https://doi.org/10.5194/nhess-20-2857-2020, 2020.

O. E. Jurado, J. Ulrich, M. Scheibel, H. W. Rust: Evaluating the Performance of a Max-Stable Process for Estimating Intensity-Duration-Frequency Curves. Water 2020, 12, 3314.

J. Ulrich, O. E. Jurado, M. Peter, M. Scheibel, H. W. Rust: Estimating IDF Curves Consistently over Durations with Spatial Covariates. Water 2020, 12, 3119.

E. Rousi, H.W. Rust, U. Ulbrich, C. Anagnostopoulou: Winter NAO flavors and their effects on European climate.Climate, 2020

E. Meredith, H. W. Rust, U. Ulbrich: The diurnal nature of future extreme precipitation intensification. Geophy. Res. Lett., 2019.

Y. Liu, M. Donat, H. W. Rust, l. Alexander, M. England: Decadal predictability of temperature and precipitation means and extremes in a perfect-model experiment. Clim. Dyn, 2019.

K. Fackeldey, P. Koltai, P. Névir, H. W. Rust, A. Schild, M. Weber: From Metastable to Coherent Sets – Time-Discretization Schemes. Chaos 29(1):012101, 2019

M. Fischer, H. W. Rust, U. Ulbrich: A spatial and seasonal climatology of extreme precipitation return-levels: A case study. Spat. Stat., 2018

S.Kremser, J. S. Tradowsky, H. W. Rust, G. E. Bodeker: Is it feasible to estimate radiosonde biases from interlaced measurements?  Atmos. Measure. Tech., 11: 3021 - 3029, 2018

S. Liersch, J. Teckenburg, H. W. Rust, A. Dobler, M. Fischer, T. Kruschke, H. Koch, F. Hattermann: Are we using the right fuel to drive hydrological models? A climate impact study in the Upper Blue Nile, Hydrol. Earth Syst. Sci.,2018

E. P. Meredith, H. W. Rust, U. Ulbrich: A classification algorithm for selective dynamical downscaling of precipitation ex-
tremes, Hydrol. Earth. Syst. Sci., 22,4183 - 4200, 2018

N. Otero, J. Silmann, K. A. Mar, H. W. Rust, et al.: A multi-model comparison of meteorological drivers of surface ozone over Europe. Atmos. Chem. Phys.,2018.

A. Pasternack, H. W. Rust, J. Bhend, M. Liniger, W. A. Müller: Parametric Decadal Climate Forecast Recalibration, Geosci. Model Develop., 2018

M. Fischer, H. W. Rust, U. Ulbrich: Seasonal Cycle in German Daily Precipitation Extremes, Meteorol. Z. 2018, DOI: 10.1127/metz/2017/0845

C. Ritschel, H.W. Rust, U. Ulbrich: Precipitation extremes on multiple time scales -- Bartlett-Lewis Rectangular Pulse Model and Intensity-Duration-Frequency curves, Hydrol. Earth Syst. Sci.

M. Walz, T. Kruschke, H. W. Rust, G. Leckebusch, U. Ulbrich: Quantifying the extremity of windstorms for regions featuring infrequent events, Atmos. Sci. Lett., 2017, DOI: 10.1002/asl.758

S. Babian, H. W. Rust, K. Prömmel, J. Grieger, U. Cubasch: Representation of Antarctic Oscillation and related precipitation in the MPI Earth System Model, Meteorol. Z., 2016, 767-774, DOI: 10.1127/metz/2016/0661

F. Kaspar, H. W. Rust, U. Ulbrich and P. Becker: Verification and process oriented validation of the MiKlip decadal prediction system. Meteorol. Z., 629 - 630, 2016, DOI: 10.1127/metz/2016/0831

J. Marotzke, W. A. Müller, F. S. E. Vamborg, P. Becker, U. Cubasch, H. Feldmann, F. Kaspar, C. Kottmeier, C. Marini, I. Polkova, K. Prömmel, H. W. Rust, D. Stammer, U. Ulbrich, C. Kadow, A. Köhl, J. Kröger, T. Kruschke, J. G. Pinto, H. Pohlmann, M. Reyers, M. Schröder, F. Sienz, C. Timmreck, M. Ziese: MiKlip - a National Research Project on Decadal Climate Prediction, Bulletin of the American Meteorological Society, 2016, DOI: 10.1175/BAMS-D-15-00184.1.

Otero Felipe, N., Sillmann, J., Schnell, J. L., Rust, H. W., Butler, T. M.:  Synoptic and meteorological drivers of extreme ozone concentrations over Europe. - Environ. Res. Lett., 11, 2, 024005, 2016. DOI: 10.1088/1748-9326/11/2/024005

T. Kruschke, H. W. Rust, C. Kadow, W. Müller, H. Pohlmann, G. C. Leckebusch, U. Ulbrich: Probabilistic evaluation of decadal predictions for Northern Hemisphere winter storms, Meteorol. Z., 2015, DOI: 10.1127/metz/2015/0641

C. Kadow, S. Illing, O. Kunst, H. W. Rust, H. Pohlmann, W. Müller, U. Cubasch: Evaluation of forecasts by accuracy and spread in the MiKlip decadal climate prediction system, Meteorol. Z., 2015, DOI: 10.1127/metz/2015/0639

H. W. Rust, A. Richling, P. Bissolli, U. Ulbrich: Linking teleconnection patterns to European temperature – a multiple linear regression model. Meteorol. Z., 24, 411 - 423, 2015

H.W. Rust, T. Kruschke, A. Dobler, M. Fischer, U. Ulbrich. Discontinous daily temperatures in the WATCH forcing data sets. J. Hydrometeorol. 16(1):465-472, 2015, DOI: 10.1175/JHM-D-14-0123.1

T. Kruschke, H. W. Rust, C. Kadow, G.C. Leckebusch, U. Ulbrich: Evaluating decadal predictions of northern hemispheric cyclone frequencies. Tellus A 66, 22830, 2014, DOI: 10.3402/tellusa.v66.22830

V. Guemas, L. Auger, F.J. Doblas-Reyes, H.W. Rust, A. Ribes: Dealing with data dependencies when applying statistical hypothesis tests for climate time series. Bull. Amer. Meteorol. Soc., 95 (11), 1666-1667, 2014, See also related article.

H. W. Rust, M. Vrac, B. Sultan and M. Lengaigne: Mapping weather type influence on Senegal precipitation based on a spatio-temporal statistical model. J. Climate, 26, 8189-8209, 2013

D. Maraun, T.J. Osborn, H. W. Rust: The influence of synoptic airflow on UK daily precipitation extremes. Part II: regional climate model and EOBS data validation. Clim. Dyn. 39:287-301, 2012

P. Yiou, B. D. Malamud, H. W. Rust: Preface "Extreme Events: Nonlinear Dynamics and Time Series Analysis". Nonlin. Processes Geophys., 18, 895-897, 2011

M. Ghil, P. Yiou, S. Hallegatte, B. D. Malamud, P. Naveau, A. Soloviev, P. Friederichs, V. Keilis-Borok, D. Kondrashov, V. Kossobokov, O. Mestre, C. Nicolis, H. W. Rust, P. Shebalin, M. Vrac, A. Witt, I. Zaliapin: Extreme Events: Dynamics, Statistics and Prediction. Nonlin. Proc. Geophys., 18, 295-350, 2011

D. Maraun, H. W. Rust, T.J. Osborn: The Influence of Synoptic Airflow on UK Daily Precipitation Extremes. PartI: Observed Spatio-Temporal Relations.Clim. Dyn., 36:261-275, 2011

H. W. Rust, M. Vrac, M. Lengaigne, B. Sultan: Quantifying Differences in Circulation Patterns Based on Probabilistic Models.J. Climate, 23:6573-6589, 2010

P. Yiou, E. Bard, P. Dandin, B. Legras, P. Naveau, H. W. Rust, L. Terray, M. Vrac: Statistical Issues about Solar-Climate Relations.Clim. Past., 6:565-573, 2010

D. Maraun, F. Wetterhall, A.M. Ireson, R.E. Chandler, E.J. Kendon, M. Widmann, S. Brienen, H. W.Rust, T. Sauter, M. Themeßl,V.K.C. Venema, K.P. Chun, C.M. Goodess, R.G. Jones, C. Onof, M. Vrac, I. Thiele-Eich: Precipitation Downscaling under Climate Change. Recent Developements to Bridge the Gap between Dynamical Models and the End User.Rev. Geophys., 48, RG3003, 2010

D. Maraun, H. W. Rust, T.J. Osborn: Synoptic airflow and UK daily precipitation extremes. Development and validation of a vector generalised linear model.Extremes, 13(2):133-153, 2010

H. W. Rust, D. Maraun, T.J. Osborn: Modelling Seasonality in Extreme Precipitation: A UK Case Study.Europ. Phys. J. Special Topics, 174:91-97, 2009

H. W. Rust: The Effect of Long-Range Dependence on Modelling Extremes with the Generalised Extreme Value Distribution.Europ. Phys. J. Special Topics, 174:99-111, 2009

D. Maraun, H. W. Rust, T.J. Osborn: The Annual Cycle of Heavy Precipitation Across the United Kinddom: A Model Based on Extreme Value Statistics.Int. J. Climatol., 29(12):1731-1744, 2009

H. W. Rust, O. Mestre, V.K.C Venema: Fewer Jumps, Less Memory: Homogenized Temperature Records and Long Memory.J. Geophys. Res., 113:D19110, 2008

V.K.C Venema, S. Bachner, H. W. Rust, C. Simmer: Statistical Characteristics of Surrogate Data based on Geophysical Measurements.Nonlin. Proc. Geophys., 13:449-466, 2006

M. Kallache, H. W. Rust, J.P. Kropp: Trend assessment: Applications for hydrology and climate research.Nonlin. Proc. Geophys., 12:201-210, 2005

M. Kallache, H. W. Rust and J. P. Kropp: Trend assessment: Applications for hydrology and climate research;  Nonlin. Processes Geophys. 12:201–210, 2005.

D. Maraun, H. W. Rust, J. Timmer: Tempting Long-Memory - On the Interpretation of DFA Results.Nonlin. Proc. Geophys.,11:495-503, 2004

D. Maraun, W. Horbelt, H. W. Rust, J. Timmer, F. Drepper, H.P. Happersberger: Identification of Rate Constants and Non-Observable Absorption Spectra in Nonlinear Biochemical Dynamics. Int. J. Bif. Chaos, 14:(6)2081-2092, 2004

H.U. Voss, H. W. Rust, W. Horbelt, J. Timmer: A combined approach for the indentification of continuous non-linear systems.Int. J. Adapt. Contr. Signal. Process., 17:335-352, 2003

J. Timmer, H. W. Rust, W. Horbelt, H.U. Voss: Identification of a nonlinear circuit. Proc. Appl. Math. Mech., 1: 73–74, 2003, doi:10.1002/1617-7061(200203)

J. Timmer, H. W. Rust, W. Horbelt, H.U. Voss: Parametric, Nonparametric and Parametric Modelling of a Chaotic Circuit Time Series. Phys. Lett. A, 274:123-134, 2000

In monographs and conference proceedings 

Kox, T., Göber, M., Wentzel B., Freundl, E., Rust, H. W.: Fostering weather and climate literacy among pupils by engagement in a weather citizen science project. Proceedings of Austrian Citizen Science Conference 2020 PoS(ACSC2020), 393, 002, 2021.

Rousi, E., Ulbrich, U., Rust, H. W., & Anagnostolpoulou, C.: An NAO Climatology in Reanalysis Data with the Use of Self-organizing Maps, in Perspectives on Atmospheric Sciences (pp. 719-724), Springer International Publishing, 2017.

M. Fischer ,H. W. Rust, U. Ulbrich: Seasonal Extreme Value Statistics for Precipitation in Germany, EVAN 2013: Proceedings of the 1st International Short Conference on Advances in Extreme Value Analysis and Application to Natural Hazards, Forschungsinstitut Wasser und Umwelt (fwu) der Universität Siegen 144-152,  2014

H. W. Rust, M. Kallache, H.-J. Schellnhuber and J. P. Kropp: Confidence Intervals for Flood Return Level Estimation using a Bootstrap Approach, in J. Kropp and H.J. Schellnhuber (Eds.): In Extremis: Disruptive Events and Correlations in Hydrology and Climate, Springer, 2011

M. Kallache, H. W. Rust, H. Lange and J. Kropp: Extreme Value Analysis for Non-Stationary Data, in J. Kropp and H.J. Schellnhuber (Eds.): In Extremis: Disruptive Events and Correlations in Hydrology and Climate, Springer, 2011

M. Kallache, H. W. Rust, H.-J. Schellnhuber and J. P. Kropp: Trend Assessment of Correlated Data, Complexity and Integrated Resources Management, Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society, iEMSs, Manno, Switzerland, 2004

H. U. Voss, M. Peifer, W. Horbelt, H. W. Rust and J. Timmer: Parametric, Nonparametric and Parametric Modeling of a Chaotic Circuit Time Series, NOLTA-Proceedings, 2:713-716, 2000

PhD Thesis

Detection of Long-Range Dependence – Applications in Climatology and Hydrology; H. W. Rust, 2007. Potsdam University, Potsdam, Germany.

Software

farima

Software package farima for the environment for statistical computing R: Algorithms and tools for parameter estimation and model selection for long-memory processes. H. W. Rust, 2007

gaussDiff (also available on CRAN)

Software package gaussDiff for the environment for statistical computing R: A set of difference measures for multivariate Gaussian probability distributions. H. W. Rust, 2007