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Dr. Mathematician (M.Sc. & PhD) Edwin Haas

Dr. Mathematician (M.Sc. & PhD) Edwin Haas

Simulation of bio geochemical processes
group: Regionalization of Biogenic Trace Gas Fluxes
room: Campus Alpin
phone: +49 8821 183-245
+49 171 4531773

edwin haasXte4∂kit edu

Dr. Edwin Haas

Simulation of coupled three-dimensional soil biogeochemistry: Distribution of soil NO3 content in a sloped soil simulated by the coupled LandscapeDNDC ecosystem and the CMF fully distributed 3D hydrology model (S. Klatt et a.. 2017 Env Model Software)
3d distribution of soil NO3 simulated by LandscapeDNDC - CMF

Senior Scientist in biogeochemical process modelling, Mathematician by education (Diplomas from the University of Applied Sciences Stuttgart & Technical University of Kaiserslautern), PhD in Numerical Methods for multiphase reactive flow simulation (Mathematics Department University of Augsburg), PhD mentor and supervisor

Scientific Statistics (Mendeley):
h-index: 12
Citations: 457
Publications: 34

External Scientific Profiles:
Edwin Haas at Mendeley Profiles
Edwin Haas at Research Gate Profile (score 29.63)
Edwin Haas at Researcher ID Profile
Edwin Haas at ORCID

(last update Feb 2019)



  • 1992 - 1995 University of Applied Sciences Stuttgart, University of Applied Science, Study of Engineering Mathematics, Graduation with Diplom Mathematiker (FH)
  • 1995 - 2000 University of Kaiserslautern, Study of Applied Mathematics, Physics and Computer Science, Graduation with Diplom Mathematiker (Technomathematics) / Master of Science
  • 2001 - 2006 Phd at IMK-IFU & University of Augsburg, Department of Mathematics, Graduation with Dr. rer. nat. (2007), Numerical Modeling of Atmospheric Air Chemistry
  • 2007 - 2015 PostDoc & Senior Scientist at IMK-IFU with a research topic in model development in the field of air quality modeling, soil biogeochemistry and model coupling (building a landscape scale coupled atmosphere-biosphere-hydrosphere model)
  • since 2016 Senior Scientist (permanent staff)


Research fields:

  • development of LandscapeDNDChttp://svn.imk-ifu.kit.edu/
  • Development of a coupled (Atmosphere) Hydrosphere Biosphere Modelling System on the basis of coupling LandscapeDNDC and CMF
  • Threedimensional soil biogeochemistry modelling and simulation
  • Model Coupling Tools based on parallel computer techniques (openPALM, OASIS)
  • Optimizing and parallelization of numrical solvers for stiff equation systems resulting from gas phase chemistry of Richards based hydrology
  • Uncertainty quantification in ecosystem modelling
  • Markov Chain Monte Carlo stochastic simulations
  • Data science, machine learning, artificial intelligence, neural networks from a mathematician's point of view...
  • Scientific Computing and Parallelization (OpenMP, MPI, Intel Cluster MP), Linux Cluster, parallel file system (Lustre, ISILON OneFS)


Ongoing Projects:

  • AgentDNDC - Integrated Agent based modeling for social-economic-ecological decision support of agricultural landscapes for profitability, resilience and sustainability with the advanced LandscapeDNDC model
    BMBF BioTip Call "Tipping points, dynamics and interactions of social and ecological systems (BioTip)" founded project, 1 June 2017 - 31 May 2018
  • EU Horizon 2020 Ecopotentials: improving future ecosystem benefits through earth observations, http://www.ecopotential-project.eu/
  • Pangas: "Greenhouse gas fluxes in arable soils under conditions of drought and heavy rain in the Pannonian area", ACRP (Austria Clima Fonds) - 6th Call (2013)
  • DFG "Uncertainty of predicted hydro-biogeochemical fluxes and trace gas emissions on the landscape scale under climate and land use change" (co-applicant), http://gepris.dfg.de/gepris/projekt/225467686
  • DFG Development of a Coupled Biosphere-Atmosphere Modelling System "Land use and management effects on N2O emissions on site to regional scales under present/future conditions in the Hai He river basin, China" (co-applicant), http://gepris.dfg.de/gepris/projekt/188033281
  • ACRP NitroAustria, "Nitrogen losses from Austrian agricultural soils - modelling to explore trade off effects", ACRP 7th Call (2014)
  • FACCE JPI MACSUR II "Modeling European Agriculture with Climate Change for food Security", (co-applicant), Task Leader Ecosystem Uncertainty, Cross Cutting Theme Leader, http://www.macsur.eu/
  • FACCE JPI IdenWays, "Identifying ways to reduce agricultural GHG emissions: A multinational modeling approach to optimize C and N cycles between livestock and cropping systems", International Call on Mitigation, Prof. Changsheng Li (coordinator, passed away in 10/2015) https://www.faccejpi.com/FACCE-Joint-activities/International-Call-on-Mitigation/IdenWays2/IdenWays


reviewer for

  • Science of the total environment, STOTEN
  • Agriculture, Ecosystems & Environment, AEE
  • Field Crops Research, FIELD
Review topics
  • Ecosystem modelling (agriculture, grassland and forest)
  • Soil carbon and nitrogen cycling
  • Greenhouse gas emissions (CO2, CH4, N2O)
  • Nitrate leaching and water quality





Publications Edwin Haas

  1. Constantin, J.; Raynal, H.; Casellas, E.; Hoffmann, H.; Bindi, M.; Doro, L.; Eckersten, H.; Gaiser, T.; Grosz, B.; Haas, E.; Kersebaum, K.-C.; Klatt, S.; Kuhnert, M.; Lewan, E.; Maharjan, G. R.; Moriondo, M.; Nendel, C.; Roggero, P. P.; Specka, X.; Trombi, G.; Villa, A.; Wang, E.; Weihermüller, L.; Yeluripati, J.; Zhao, Z.; Ewert, F.; Bergez, J.-E. (2019). Management and spatial resolution effects on yield and water balance at regional scale in crop models. Agricultural and forest meteorology, 275, 184–195. doi:10.1016/j.agrformet.2019.05.013
  2. Schroeck, A. M.; Gaube, V.; Haas, E.; Winiwarter, W. (2019). Estimating nitrogen flows of agricultural soils at a landscape level – A modelling study of the Upper Enns Valley, a long-term socio-ecological research region in Austria. The science of the total environment, 665, 275–289. doi:10.1016/j.scitotenv.2019.02.071Volltext Volltext der Publikation als PDF-Dokument
  3. Kasper, M.; Foldal, C.; Kitzler, B.; Haas, E.; Strauss, P.; Eder, A.; Zechmeister-Boltenstern, S.; Amon, B. (2019). NO emissions and NO leaching from two contrasting regions in Austria and influence of soil, crops and climate: a modelling approach. Nutrient cycling in agroecosystems, 113 (1), 95–111. doi:10.1007/s10705-018-9965-zVolltext Volltext der Publikation als PDF-Dokument
  1. Grosz, B.; Dechow, R.; Gebbert, S.; Hoffmann, H.; Zhao, G.; Constantin, J.; Raynal, H.; Wallach, D.; Coucheney, E.; Lewan, E.; Eckersten, H.; Specka, X.; Kersebaum, K.-C.; Nendel, C.; Kuhnert, M.; Yeluripati, J.; Haas, E.; Teixeira, E.; Bindi, M.; Trombi, G.; Moriondo, M.; Doro, L.; Roggero, P. P.; Zhao, Z.; Wang, E.; Tao, F.; Rötter, R.; Kassie, B.; Cammarano, D.; Asseng, S.; Weihermüller, L.; Siebert, S.; Gaiser, T.; Ewert, F. (2017). The implication of input data aggregation on up-scaling soil organic carbon changes. Environmental modelling & software, 96, 361–377. doi:10.1016/j.envsoft.2017.06.046
  2. Dirnböck, T.; Foldal, C.; Djukic, I.; Kobler, J.; Haas, E.; Kiese, R.; Kitzler, B. (2017). Historic nitrogen deposition determines future climate change effects on nitrogen retention in temperate forests. Climatic change, 144 (2), 221–235. doi:10.1007/s10584-017-2024-yVolltext Volltext der Publikation als PDF-Dokument
  3. Bureau, J.; Grossel, A.; Loubet, B.; Laville, P.; Massad, R.; Haas, E.; Butterbach-Bahl, K.; Guimbaud, C.; Hénault, C. (2017). Evaluation of new flux attribution methods for mapping N2O emissions at the landscape scale. Agriculture, ecosystems & environment, 247, 9–22. doi:10.1016/j.agee.2017.06.012
  4. Houska, T.; Kraft, P.; Liebermann, R.; Klatt, S.; Kraus, D.; Haas, E.; Santabarbara, I.; Kiese, R.; Butterbach-Bahl, K.; Müller, C.; Breuer, L. (2017). Rejecting hydro-biogeochemical model structures by multi-criteria evaluation. Environmental modelling & software, 93, 1–12. doi:10.1016/j.envsoft.2017.03.005
  5. Klatt, S.; Kraus, D.; Kraft, P.; Breuer, L.; Wlotzka, M.; Heuveline, V.; Haas, E.; Kiese, R.; Butterbach-Bahl, K. (2017). Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach. Environmental modelling & software, 90, 55–67. doi:10.1016/j.envsoft.2016.12.002
  6. Molina-Herrera, S.; Haas, E.; Grote, R.; Kiese, R.; Klatt, S.; Kraus, D.; Butterbach-Bahl, K.; Kampffmeyer, T.; Friedrich, R.; Andreae, H.; Loubet, B.; Ammann, C.; Horváth, L.; Larsen, K.; Gruening, C.; Frumau, A.; Butterbach-Bahl, K. (2017). Importance of soil NO emissions for the total atmospheric NOx budget of Saxony, Germany. Atmospheric environment, 152, 61–76. doi:10.1016/j.atmosenv.2016.12.022
  7. Wolf, B.; Chwala, C.; Fersch, B.; Garvelmann, J.; Junkermann, W.; Zeeman, M. J.; Angerer, A.; Adler, B.; Beck, C.; Brosy, C.; Brugger, P.; Emeis, S.; Dannenmann, M.; De Roo, F.; Diaz-Pines, E.; Haas, E.; agen, M.; Hajnsek, I.; Jacobeit, J.; Jagdhuber, T.; Kalthoff, N.; Kiese, R.; Kunstmann, H.; Kosak, O.; Krieg, R.; Malchow, C.; Mauder, M.; Merz, R.; Notarnicola, C.; Philipp, A.; Reif, W.; Reineke, S.; Rödiger, S.; Ruehr, N.; Schäfer, K.; Schrön, M.; Senatore, A.; Shupe, H.; Völksch, I.; Wanninger, C.; Zacharias, S.; Schmid, H. P. (2017). The ScaleX campaign: scale-crossing land-surface and boundary layer processes in the TERENO-preAlpine observatory. Bulletin of the American Meteorological Society, 98 (6), 1217–1234. doi:10.1175/BAMS-D-15-00277.1Volltext Volltext der Publikation als PDF-Dokument
  8. Schweier, J.; Molina-Herrera, S.; Ghirardo, A.; Grote, R.; Díaz-Pinés, E.; Kreuzwieser, J.; Haas, E.; Butterbach-Bahl, K.; Rennenberg, H.; Schnitzler, J.-P.; Becker, G. (2017). Environmental impacts of bioenergy wood production from poplar short rotation coppice grown at a marginal agricultural site in Germany. Global change biology / Bioenergy (1757-1693, 1757-1707), 9 (7), 1207–1221. doi:10.1111/gcbb.12423Volltext Volltext der Publikation als PDF-Dokument
  9. Díaz-Pinés, E.; Molina-Herrera, S.; Dannenmann, M.; Braun, J.; Haas, E.; Willibald, G.; Arias-Navarro, C.; Grote, R.; Wolf, B.; Saiz, G.; Aust, C.; Schnitzler, J.-P.; Butterbach-Bahl, K. (2017). Nitrate leaching and soil nitrous oxide emissions diminish with time in a hybrid poplar short-rotation coppice in southern Germany. Global change biology / Bioenergy, 9 (3), 613–626. doi:10.1111/gcbb.12367Volltext Volltext der Publikation als PDF-Dokument
  1. Kuhnert, M.; Yeluripati, J.; Smith, P.; Hoffmann, H.; van Oijen, M.; Constantin, J.; Coucheney, E.; Dechow, R.; Eckersten, H.; Gaiser, T.; Grosz, B.; Haas, E.; Kersebaum, K.-C.; Kiese, R.; Klatt, S.; Lewan, E.; Nendel, C.; Raynal, H.; Sosa, C.; Specka, X.; Teixeira, E.; Wang, E.; Weihermüller, L.; Zhao, G.; Zhao, Z.; Ogle, S.; Ewert, F. (2016). Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands. European journal of agronomy, 88, 41–52. doi:10.1016/j.eja.2016.06.005
  2. Molina-Herrera, S.; Haas, E.; Klatt, S.; Kraus, D.; Augustin, J.; Magliulo, V.; Tallec, T.; Ceschia, E.; Ammann, C.; Loubet, B.; Skiba, U.; Jones, S.; Brümmer, C.; Butterbach-Bahl, K.; Kiese, R. (2016). A modeling study on mitigation of N₂O emissions and NO₃ leaching at different agricultural sites across Europe using LandscapeDNDC. The science of the total environment, 553, 128–140. doi:10.1016/j.scitotenv.2015.12.099
  3. Kraus, D.; Weller, S.; Klatt, S.; Santabárbara, I.; Haas, E.; Wassmann, R.; Werner, C.; Kiese, R.; Butterbach-Bahl, K. (2016). How well can we assess impacts of agricultural land management changes on the total greenhouse gas balance (CO2, CH4 and N2O) of tropical rice-cropping systems with a biogeochemical model?. Agriculture, ecosystems & environment, 224, 104–115. doi:10.1016/j.agee.2016.03.037
  4. Zhao, G.; Hoffmann, H.; Yeluripati, J.; Xenia, S.; Nendel, C.; Coucheney, E.; Kuhnert, M.; Tao, F.; Constantin, J.; Raynal, H.; Teixeira, E.; Grosz, B.; Doro, L.; Kiese, R.; Eckersten, H.; Haas, E.; Cammarano, D.; Kassie, B.; Moriondo, M.; Trombi, G.; Bindi, M.; Biernath, C.; Heinlein, F.; Klein, C.; Priesack, E.; Lewan, E.; Kersebaum, K.-C.; Rötter, R.; Roggero, P. P.; Wallach, D.; Asseng, S.; Siebert, S.; Gaiser, T.; Ewert, F. (2016). Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops. Environmental modelling & software, 80, 100–112. doi:10.1016/j.envsoft.2016.02.022
  1. Hoffmann, H.; Zhao, G.; van Bussel, L.; Enders, A.; Specka, X.; Sosa, C.; Yeluripati, J.; Tao, F.; Constantin, J.; Raynal, H.; Teixeira, E.; Grosz, B.; Doro, L.; Zhao, Z.; Wang, E.; Nendel, C.; Kersebaum, K. C.; Haas, E.; Kiese, R.; Klatt, S.; Eckersten, H.; Vanuytrecht, E.; Kuhnert, M.; Lewan, E.; Rötter, R.; Roggero, P. P.; Wallach, D.; Cammarano, D.; Asseng, S.; Krauss, G.; Siebert, S.; Gaiser, T.; Ewert, F. (2015). Variability of effects of spatial climate data aggregation on regional yield simulation by crop models. Climate research, 65, 53–69. doi:10.3354/cr01326
  2. Zhao, G.; Hoffmann, H.; van Bussel, L. G. J.; Enders, A.; Specka, X.; Sosa, C.; Yeluripati, J.; Tao, F.; Constantin, J.; Raynal, H.; Teixeira, E.; Grosz, B.; Doro, L.; Zhao, Z.; Nendel, C.; Kiese, R.; Eckersten, H.; Haas, E.; Vanuytrecht, E.; Wang, E.; Kuhnert, M.; Trombi, G.; Morlondo, M.; Bindi, M.; Lewan, E.; Bach, M.; Kersebaum, K. C.; Rötter, R.; Roggero, P. P.; Wallach, D.; Cammarano, D.; Asseng, S.; Krauss, G.; Siebert, S.; Gaiser, T.; Ewert, F. (2015). Effect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variables,. Climate research, 65, 141–157. doi:10.3354/cr01301
  3. Zhang, W.; Liu, C.; Zheng, X.; Zhou, Z.; Cui, F.; Zhu, B.; Haas, E.; Klatt, S.; Butterbach-Bahl, K.; Kiese, R. (2015). Comparison of the DNDC, LandscapeDNDC and IAP-N-GAS models for simulating nitrous oxide and nitric oxide emissions from the winter wheat-summer maize rotation system. Agricultural systems, 140, 1–10. doi:10.1016/j.agsy.2015.08.003
  4. Kim, Y.; Seo, Y.; Kraus, D.; Klatt, S.; Haas, E.; Tenhunen, J.; Kiese, R. (2015). Estimation and mitigation of N₂O emission and nitrate leaching from intensive crip cultivation in the Haean catchment, South Korea. The science of the total environment, 529, 40–53. doi:10.1016/j.scitotenv.2015.04.098
  5. Kraus, D.; Weller, S.; Klatt, S.; Haas, E.; Wassmann, R.; Kiese, R.; Butterbach-Bahl, K. (2015). A new LandscapeDNDC biogeochemical module to predict CH₄ and N₂O emissions from lowland rice and upland cropping systems. Plant and soil, 386 (1-2), 125–149. doi:10.1007/s11104-014-2255-x
  6. Molina-Herrera, S.; Grote, R.; Santabarbara-Ruiz, I.; Kraus, D.; Klatt, S.; Haas, E.; Kiese, R.; Butterbach-Bahl, K. (2015). Simulation of CO₂ fluxes in European Forest Ecosystems with the coupled soil-vegetation process model "LandscapeDNDC". Forests, 6 (6), 1779–1809. doi:10.3390/f6061779Volltext Volltext der Publikation als PDF-Dokument
  1. Kim, Y.; Berger, S.; Kettering, J.; Tenhunen, J.; Haas, E.; Kiese, R. (2014). Simulation of N₂O emissions and nitrate leaching from plastic mulch radish cultivation with LandscapeDNDC. Ecological research, 29, 441–454. doi:10.1007/s11284-014-1136-3
  2. Nyckowiak, J.; Lesny, J.; Merbold, L.; Niu, S.; Haas, E.; Kiese, R.; Butterbach-Bahl, K.; Olejnik, J. (2014). Direct N₂O emission from agricultural soils in Poland between 1960 and 2009. Regional environmental change, 14, 1073–1082. doi:10.1007/s10113-013-0543-2
  1. Rahn, K.-H.; Klatt, S.; Haas, E.; Butterbach-Bahl, K. (2013). Improving efficiency of a statistical analysis of complex ecological models, when using the statistical software R by parallelising tasks with Rmpi. Ecological informatics, 15, 53–57. doi:10.1016/j.ecoinf.2013.02.005
  2. Nyckowiak, J.; Lesny, J.; Juszczak, R.; Olejnik, J.; Blecharczyk, A.; Haas, E.; Kiese, R.; Butterbach-Bahl, K. (2013). Application of LandscapeDNDC model for simulating soil water content and crop yield quantity. Rocznik ochrona ´srodowiska, 15, 1937–1951. 
  3. Cameron, D. R.; van Oijen, M.; Werner, C.; Butterbach-Bahl, K.; Grote, R.; Haas, E.; Heuvelink, G. B. M.; Kiese, R.; Kros, J.; Kuhnert, M.; Leip, A.; Reinds, G. J.; Reuter, H. I.; Schelhaas, M. J.; de Vries, W.; Yeluripati, J. (2013). Environmental change impacts on the C and N-cycle of European forests: a model comparison study. Biogeosciences, 10, 1751–1773. doi:10.5194/bg-10-1751-2013
  4. Haas, E.; Klatt, S.; Fröhlich, A.; Kraft, P.; Werner, C.; Kiese, R.; Grote, R.; Breuer, L.; Butterbach-Bahl, K. (2013). LandscapeDNDC: a process model for simulation of biosphere-atmosphere-hydrosphere exchange processes at site and regional scale. Landscape Ecology, 28, 615–636. doi:10.1007/s10980-012-9772-x
  1. Werner, C.; Haas, E.; Grote, R.; Gauder, M.; Graeff-Hönninger, S.; Claupein, W.; Butterbach-Bahl, K. (2012). Biomass production potential from Populus short rotation systems in Romania. Global Change Biology Bioenergy, 4, 642–653. doi:10.1111/j.1757-1707.2012.01180.x
  1. Werner, C.; Butterbach-Bahl, K.; Haas, E.; Hickler, T.; Kiese, R. (2007). A global inventory of N₂O emissions from tropical rainforest soils using a detailed biogeochemical model. Global Biogeochemical Cycles, 21 (GB3010), 2007. doi:10.1029/2006GB002909
  1. Forkel, R.; Bonn, B.; Kuhlmann, R. von; Haas, E.; Geiger, H.; Barnes, I.; Pöschl, U. (2005). Validation of chemical mechanisms for the description of isoprene and α-pinene degradation within 3-dimensional chemistry transport models (ValCheM). Atmospheric Research, AFO2000 Newsletter, No.9, S.3-6 Winkler, R. [Hrsg.] Results of the German Programme - AFO 2000 Berlin : BMBF, 2005 S.40-43.