Catchments as Organised Systems

The CAOS community impact

Publications (peer reviewed)

2018

  1. Bhattarai, N., Mallick, K., Brunsell, N. A., Sun, G., and Jain, M.: Regional evapotranspiration from image-based implementation of the Surface Temperature Initiated Closure (STIC1.2) model and its validation across an aridity gradient in the conterminous United States, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-535, in review, 2017.
  2. Brenner, C., M. Zeeman, M. Bernhardt, K. Schulz (submitted). "Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems." International Journal of Remote Sensing
  3. Hassler S.K., Weiler M., Blume T.: Tree-, stand- and site-specific controls on landscape-scale patterns of transpiration. Hydrol. Earth Syst. Sci., 22, 13-30, 2018, https://doi.org/10.5194/hess-22-13-2018
  4. Kawabata, T., H.-S. Bauer, T. Schwitalla, V. Wulfmeyer, and A. Adachi, 2018: Evaluation of forward operators for polarimetric radars aiming for data assimilation. J. Meteor. Soc. Japan, 96A, https://doi.org/10.2151/jmsj.2018-017.
  5. Reck, A., Jackisch, C., Hohenbrink, T., Schröder-Esselbach, B., Zangerlé, A., Van Schaik, L., online open access, Impact of temporal macropore dynamics on infiltration: field experiments and model simulations. VZJ, https://doi.org/10.2136/vzj2017.08.0147.
  6. Riese, F. M. & Keller, S. (2018). Introducing a framework of self-organizing maps for regression of soil moisture with hyperspectral data. International Geoscience and Remote Sensing Symposium, IGARSS 2018, the 38th annual symposium of the IEEE Geoscience and Remote Sensing Society (GRSS), submitted.

2017

  1. N. Allroggen, C. Jackisch and J. Tronicke, "Four-dimensional gridding of time-lapse GPR data," /2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)/, Edinburgh, 2017, pp. 1-4. https://doi.org/10.1109/IWAGPR.2017.7996067
  2. Angermann, L., Jackisch, C., Allroggen, N., Sprenger, M., Zehe, E., Tronicke, J., Weiler, M., and Blume, T.: Form and function in hillslope hydrology: characterization of subsurface flow based on response observations. Hydrol. Earth Syst. Sci., 21, 3727-3748, https://doi.org/10.5194/hess-21-3727-2017, 2017.
  3. Brenner, Claire, Christina Elisabeth Thiem, Hans-Dieter Wizemann, Matthias Bernhardt, and Karsten Schulz. "Estimating Spatially Distributed Turbulent Heat Fluxes from High-Resolution Thermal Imagery Acquired with a UAV System." International Journal of Remote Sensing, 1-24. https://doi.org/10.1080/01431161.2017.1280202, 2017.
  4. Carus J, Heuner M, Paul M, Schröder B (2017): Plant distribution and stand characteristics in brackish marshes: Unravelling the roles of abiotic factors and interspecific competition. Estuarine, Coastal and Shelf Science 196: 237-247, https://doi.org/10.1016/j.ecss.2017.06.038
  5. Carus J, Heuner M, Paul M, Schröder B (2017): Which factors and processes drive the spatio-temporal dynamics of brackish marshes? - Insights from development and parameterisation of a mechanistic vegetation model. Ecological Modelling 363: 122-136, https://doi.org/10.1016/j.ecolmodel.2017.08.023
  6. Jackisch, C., Angermann, L., Allroggen, N., Sprenger, M., Blume, T., Tronicke, J., and Zehe, E.: Form and function in hillslope hydrology: in situ imaging and characterization of flow-relevant structures. Hydrol. Earth Syst. Sci., 21, 3749-3775, https://doi.org/10.5194/hess-21-3749-2017, 2017.
  7. Kleidon, A., and M. Renner. 2017. "An Explanation for the Different Climate Sensitivities of Land and Ocean Surfaces Based on the Diurnal Cycle." Earth Syst. Dynam. 8 (3): 849-64. https://doi.org/10.5194/esd-8-849-2017.
  8. Löbel S, Mair L, Lönnell N, Schröder B, Snäll T (accepted): Biological traits explain bryophyte species distributions and responses to forest fragmentation and climatic variation. Journal of Ecology, https://doi.org/10.1111/1365-2745.12930
  9. Loritz, R., Hassler, S. K., Jackisch, C., Allroggen, N., van Schaik, L., Wienhöfer, J., & Zehe, E. (2017). Picturing and modelling catchments by representative hillslopes. Hydrology and Earth System Sciences, 21: 1225 - 1249. https://doi.org/10.5194/hess-2016-307
  10. Pfister, L., N. Martínez-Carreras, C. Hissler, J. Klaus, G.E. Carrer, M.K. Stewart, J.J. McDonnell. 2017. "Bedrock geology controls on catchment storage, mixing, and release: A comparative analysis of 16 nested catchments". Hyrological Processes 31(10): 1828-1845. https://doi.org/10.1002/hyp.11134.
  11. Roberts DR, Bahn V, Boyce MS, Ciuti S, Elith J, Guillera-Arroita G, Hartig F, Hauenstein S, Lahoz-Monfort JJ, Schröder B, Thuiller W, Warton D, Wintle BA, Dormann CF (2017): Block cross-validation meets extrapolation in ecology: gauging model quality optimism. Ecography 40: 913-929, https://doi.org/10.1111/ecog.02881
  12. F. Sandring, N. Allroggen and J. Tronicke, "A physical modeling study to analyze the horizontal resolution limits of GPR reflection imaging," /2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)/, Edinburgh, 2017, pp. 1-5. https://doi.org/10.1109/IWAGPR.2017.7996036
  13. Seibert, S. P., Jackisch, C., Ehret, U., Pfister, L., and Zehe, E. (2017): Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics, Hydrol. Earth Syst. Sci., 21, 2817-2841, 10.5194/hess-21-2817-2017.
  14. Sun, L., and K. Schulz. 2017. "Spatio-Temporal LAI Modelling by Integrating Climate and MODIS LAI Data in a Mesoscale Catchment." Remote Sensing 9 (2). https://doi.org/10.3390/rs9020144.
  15. Udelhoven, T., Schlerf, M., Segl, K., Mallick, K., Bossung, C., Retzlaff, R., . . . Knigge, T. (2017). A Satellite-Based Imaging Instrumentation Concept for Hyperspectral Thermal Remote Sensing. [Article]. Sensors, 17(7).
  16. Wandera, L., Mallick, K., Kiely, G., Roupsard, O., Peichl, M., and Magliulo, V.: Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach, Hydrol. Earth Syst. Sci., 21, 197-215, https://doi.org/10.5194/hess-21-197-2017, 2017.

2016

  1. Allroggen, N.*, Tronicke, J.: Attribute-based analysis of time-lapse ground-penetrating radar data. Geophysics, vol. 81, pp. H1-H8, 2016.
  2. Carus J, Paul M, Schröder B (2016) Vegetation as self-adaptive coastal protection: Reduction of current velocity and morphologic plasticity of a brackish marsh pioneer. Ecology and Evolution 6(6): 1579-1589, https://doi.org/10.1002/ece3.1904
  3. Dhara, Chirag, Maik Renner, and Axel Kleidon. 2016. "Broad Climatological Variation of Surface Energy Balance Partitioning across Land and Ocean Predicted from the Maximum Power Limit." Geophysical Research Letters 43 (14): 2016GL070323. https://doi.org/10.1002/2016GL070323.
  4. Keller. S., Braun, A.C., Hinz, S. & Weinmann, M. (2016). Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, USA, 21 - 24 August 2016, 1-6. (http://ieeexplore.ieee.org/document/8071759/)
  5. Mallick, K., I. Trebs, E. Boegh, L. Giustarini, M. Schlerf, D.T. Drewry, L. Hoffmann, C. von Randow, B. Kruijt, A. Araùjo, S. Saleska, J.R. Ehleringer, T.F. Domingues, J.P.H. B. Ometto, A.D. Nobre, O.L.L. de Moraes, M. Hayek, J.W. Munger and S.C. Wofsy. 2016. Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. Hydrol. Earth Syst. Sci., 20, 4237-4264, 2016. https://doi.org/10.5194/hess-20-4237-2016.
  6. Martínez-Carreras, N., M.P. Schwab, J. Klaus and C. Hissler. 2016. "In situ and high frequency monitoring of suspended sediment properties using a spectrophotometric sensor". Hydrological Processes 30(19):3533-3540. https://doi.org/10.1002/hyp.10858.
  7. Martínez-Carreras, N., C. Hissler, L. Gourdol, J. Klaus, J. Juilleret, J.F. Iffly and L. Pfister. 2016. "Storage controls on the generation of double peak hydrographs in a forested headwater catchment". Journal of Hydrology 543: 255-269. https://doi.org/10.1016/j.jhydrol.2016.10.004.
  8. Müller, B., M. Bernhardt, C. Jackisch, and K. Schulz. 2016. "Estimating Spatially Distributed Soil Texture Using Time Series of Thermal Remote Sensing - A Case Study in Central Europe." Hydrology and Earth System Sciences 20 (9): 3765-75. https://doi.org/10.5194/hess-20-3765-2016.
  9. Schneider, A.-K., van Schaik, L., Zangerlé, A., Schröder, B. (2016) Which abiotic filters shape earthworm distribution patterns at catchment scale? European Journal of Soil Science, 67: 431-442.
  10. Sprenger M., Seeger S., Blume T., Weiler M.: Travel times in the vadose zone: variability in space and time. Water Resour. Res., 52 (8),5727-5754, https://doi.org/10.1002/2015WR018077, 2016.
  11. Sprenger, M., Gimbel, K., Leistert, H. and Weiler, M.: Illuminating hydrological processes at the soil-vegetation-atmosphere interface with water stable isotopes. Reviews of Geophysics, https://doi.org/10.1002/2015RG000515, 2016.
  12. Renner M., Hassler S. K., Blume T., Weiler M., Hildebrandt A., Guderle M., Schymanski S. J., and Kleidon A. 2016: Dominant controls of transpiration along a hillslope transect inferred from ecohydrological measurements and thermodynamic limits. Hydrol. Earth Syst. Sci., 20, 2063-2083, 2016.
  13. Van Schaik, N.L.M.B., Palm, J., Klaus, J., Zehe, E., Schröder, B. 2016. Potential effects of tillage and field borders on within field spatial distribution patterns of earthworms. Agriculture, Ecosystems and environment, 228: 82 -90.
  14. Wrede, S., Fenicia, F., Maretínez-Carreras, N., Juilleret, J., Krein, A., Savenije, H.H.J, Uhlenbrock, S., Kavetski, D. and Pfister, L.: Towards more systematic perceptual model development: A case study using 3 Luxembourgish catchments. Hydrological Processes, 29 (12): 2731-2750, 2015.
  15. Zangerlé, A., Hissler, C., van Schaik, L., McKey, D. 2016. Identification of earthworm burrow origins by near infrared spectroscopy: combining results from field sites and laboratory microcosms. Soil and Tillage Research, 155: 280-288. https://doi.org/10.1016/j.still.2015.08.017.
  16. Zehe, E., and Jackisch, C.: A lagrangian model for soil water dynamics during rainfall-driven conditions, Hydrology And Earth System Sciences, 20, 3511-3526, 10.5194/hess-20-3511-2016, 2016.
  17. Zurell D, Zimmermann NE, Sattler T, Nobis M, Schröder B (2016): Effects of functional traits on the prediction accuracy of species richness models. Diversity and Distributions 22(8): 905-917, https://doi.org/10.1111/ddi.12450

2015

  1. Allroggen, N., van Schaik, N.L.M.B., Tronicke, J. 2015. 4D ground-penetrating radar during a plot scale dye tracer experiment. Journal of Applied Geophysics, 118: 139-144. https://doi.org/10.1016/j.jappgeo.2015.04.016
  2. Allroggen, N., Tronicke, J., Delock, M., & Böniger, U. (2015). Topographic migration of 2D and 3D ground-penetrating radar data onsidering variable velocities. Near Surface Geophysics, 13(3), 253-259. https://doi.org/10.3997/1873-0604.2014037
  3. Bauer, H.-S., Schwitalla, T., Wulfmeyer, V., Bakhshaii, A., Ehret, U., Neuper, M. and Caumont, O.: Quantitative preceipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF - a perfomance test. Tellus A, http://doi.org/10.3402/tellusa.v67.25047, 2015.
  4. Kleidon, A. and Renner, M.: Geoenineering ist keine Lösung -- Der globale Wasserkreislaufim Klimasystem. Physik unserer Zeit, 46, 27-31, 2015.
  5. Kleidon, A., Kravitz, B. and Renner, M.: The hydrological sensitivity to global warming and solar geoengineering derived from thermodynamic constraints. Geophys. Res. Lett., 42, 138-144, 2015.
  6. Martínez-Carreras, N., Wetzel, C.E., Frentress, J., Ector L., McDonnell, J.J., Hoffmann, L. and Pfister, L.: Hydrological connectivity inferred from diatom transport through the riparian-stream system. Hydrology and Earth System Sciences, 19:3133-3151, 2015.
  7. Sprenger, M., Herbstritt, B. and Weiler, M.: Established methods and new opportunities for pore water stable isotope analysis. Hydrological Processes, https://doi.org/10.1002/hyp.10643, 2015.
  8. Sprenger M., T. H. M. Volkmann, T. Blume, and M. Weiler Estimating flow and transport parameters in the unsaturated zone with pore water stable isotopes. Hydrol. Earth Syst. Sci., 19, 2617-2635, 2015.
  9. Sun, Liya, and Karsten Schulz. 2015. "Response to Johnson B.A. Scale Issues Related to the Accuracy Assessment of Land Use/land Cover Maps Produced Using Multi-Resolution Data: Comments on 'The Improvement of Land Cover Classification by Thermal Remote Sensing'. Remote Sens. 2015, 7, 8368-8390." Remote Sensing 7 (10): 13440-47. https://doi.org/10.3390/rs71013440.
  10. Sun, Liya, and Karsten Schulz. 2015. "The Improvement of Land Cover Classification by Thermal Remote Sensing." Remote Sensing 7 (7): 8368-90. https://doi.org/10.3390/rs70708368.
  11. Wrede, S., Fenicia, F., Martínez-Carreras, N., Juilleret, J., Hissler, C., Krein, A., Savenije, H.H.J, Uhlenbrock, S., Kavetski, D. and Pfister, L.: Towards more systematic perceptual model development: A case study using 3 Luxembourgish catchments. Hydrological Processes, 29 (12): 2731-2750, 2015.

2014

  1. Allroggen, N., van Schaik, L., Tronicke, J. (2014) Time-lapse 3D GPR imaging of brilliant blue infiltration experiments. Proceedings of the 15th International Conference on Ground Penetrating Radar, Brussels, Belgium, 643-647.
  2. Ehret, U., Gupta, H. V., Sivapalan, M., Weijs, S. V., Schymanski, S. J., Blöschl, G., Gelfan, A. N., Harman, C., Kleidon, A., Bogaard, T. A., Wang, D., Wagener, T., Scherer, U., Zehe, E., Bierkens, M. F. P., Di Baldassarre, G., Parajka, J., van Beek, L. P. H., van Griensven, A., Westhoff, M. C., and Winsemius, H. C.: Advancing catchment hydrology to deal with predictions under change, Hydrol. Earth Syst. Sci., 18, 649-671, 2014.
  3. Fenicia, F., Kavetski, D., Savenije, H.H.G., Clark, M. P., Schoups, G., Pfister, L., and J. Freer: Catchment properties, function, and conceptual model representation: is there a correspondence? Hydrological Processes, 28: 2451-2467, 2014.
  4. Gayler, S., T. Wöhling, M. Grzeschik, J. Ingwersen, H.-D. Wizemann, Petra Högy, S. Attinger, T. Streck, and V. Wulfmeyer: Incorporating dynamic root growth enhances the performance of Noah-MP ensemble simulations at two contrasting winter wheat field sites. Water Res. Res. 50, https://doi.org/10.1002/2013WR014634, 2014.
  5. Kleidon, A., Renner, M., and Porada, P. Estimates of the Climatological Land Surface Energy and Water Balance Derived from Maximum Convective Power. Hydrol. Earth Syst. Sci., in press, 2014.
  6. Kleidon, A., Zehe, E., Ehret, U., and Scherer, U. Earth system dynamics as the consequence of the second law: Maximum power limits, dissipative structures, and planetary interactions. in: Dewar, R. C., Lineweaver, C., Niven, R., and Regenauer-Lieb, K. (eds) Beyond the second law: entropy production and non-equilibrium systems, Springer Verlag, Berlin, 163-183, 2014.
  7. Müller, E.N., van Schaik, L., Blume, T., Bronstert, A., Carus, J., Fleckenstein, J., Fohrer, N., Geißler, K., Gerke, H., Gräff, T., Hesse, C., Hildebrandt, A., Hölker, F., Hunke, P., Körner, K., Lewandowski, J., Lohmann, D., Meinikmann, K., Schibalski, A., Schmalz, B., Schröder, B., Tietjen, B. 2014. Skalen, Schwerpunkte, Rückkopplungen und Herausforderungen der ökohydrologischen Forschung in Deutschland, Hydrologie & Wasserbewirtschaftung, 58: 221-240.
  8. Müller, B., M. Bernhardt, and K. Schulz. 2014. "Identification of Catchment Functional Units by Time Series of Thermal Remote Sensing Images." Hydrology and Earth System Sciences 18 (12): 5345-59. https://doi.org/10.5194/hess-18-5345-2014.
  9. Schneider AK, Schröder B.: Perspectives in modelling earthworm dynamics and their feedbacks with abiotic soil properties, Applied Soil Ecology, 58, 29-36. https://doi.org/10.1016/j.apsoil.2012.02.020, 2012.
  10. Schwitalla, T., and V. Wulfmeyer: Radar data assimilation experiments using the IPM WRF Rapid Update Cycle. Meteorol. Z., https://doi.org/10.1127/0941-2948/2014/0513, 2014.
  11. Westhoff, M.C., Zehe, E. and S.J. Schymanski: Importance of temporal variability for hydrological predictions based on the maximum entropy production principle. Geophysical Research Letters 41(1), 67-73. https://doi.org/10.1002/2013GL058533, 2014.
  12. van Schaik, N.L.M.B., Palm, J., Klaus, J., Zehe, E., Schröder, B. 2014. Linking spatial earthworm distribution to macropores, Ecohydrology. 7: 401-408. https://doi.org/10.1002/eco.1358
  13. Zehe, E., Ehret, U., Pfister, L., Blume, T., Schroeder, B., Westhoff, M., Jackisch, C., Schymanski, S. J., Weiler, M., Schulz, K., Allroggen, N., Tronicke, J., van Schaik, L., Dietrich, P., Scherer, U., Eccard, J., Wulfmeyer, V., and Kleidon, A.: Hess opinions: From response units to functional units: A thermodynamic reinterpretation of the hru concept to link spatial organization and functioning of intermediate scale catchments, Hydrology And Earth System Sciences, 18, 4635-4655, https://doi.org/10.5194/hess-18-4635-2014, 2014.

2013

  1. Allroggen, N.*, Tronicke, J., Delock, M., Böniger, U. (2013):Topographic migration of GPR data with vertically variable velocities. Proceedings of the 7th International Workshop of Advanced Ground Penetrating Radar (IWAGPR 2013). Nantes, France, https://doi.org/10.1109/IWAGPR.2013.6601514.
  2. Ehret, U., Schwitalla, T., Neuper, M., Bauer, H. S., Bakhshaii-Shahrbabaki, A., and Wulfmeyer, V.: Neue Entwicklungen bei der radarbasierten quantitativen Niederschlagsschätzung. In: KRdL Expertenforum 'Wetterradar - Anwendungen und neue Entwicklungen', KRdL Schriftenreihe, KrDL im VDI und DIN, Bonn, 2013.
  3. Greve, P., K. Warrach-Sagi, and V. Wulfmeyer: Evaluating soil water content in a WRF-NOAH downscaling experiment. J. Appl. Meteorol. Climatol. 52, 2312-2327, https://doi.org/10.1175/JAMC-D-12-0239.1, 2013. Kleidon, A., Zehe, E., Ehret, U., and Scherer, U.: Thermodynamics, maximum power, and the dynamics of preferential river flow structures at the continental scale, Hydrol. Earth Syst. Sci., 17, 225-251, 2013.
  4. Kleidon, A., and Renner, M. A Simple Explanation for the Sensitivity of the Hydrologic Cycle to Surface Temperature and Solar Radiation and Its Implications for Global Climate Change. Earth Syst. Dynam., 4: 455-465, 2013.
  5. Kleidon, A., and Renner, M.. Thermodynamic Limits of Hydrologic Cycling within the Earth System: Concepts, Estimates and Implications. Hydrol. Earth Syst. Sci., 17: 2873-2892, 2013.
  6. Kotlarski, S., K.Keuler, M. Déqué, A. Gobiet, K. Görgen, D. Jacob, D.Lüthi, E. van Meijgard, G. Nikulin, M.Suklitsch, C. Teichmann, R.Vautard, K. Warrach-Sagi, and V. Wulfmeyer: Regional climate modeling on European scales: A joint standard evaluation of the Euro-CORDEX RCM ensemble. Geosci. Model Dev. Discuss. 7, 217-293, https://doi.org/10.5194/gmdd-7-217-2014100, 2013.
  7. Palm J, van Schaik NLMB, Schröder B.: Modelling distribution patterns of anecic, epigeic and endogeic earthworms at catchment-scale in agro-ecosystems. Pedobiologia 56(1): 23-31, 2013.
  8. Westhoff, M. C., and Zehe, E.: Maximum entropy production: Can it be used to constrain conceptual hydrological models?, Hydrology And Earth System Sciences, 17, 3141-3157, 10.5194/hess-17-3141-2013, 2013.
  9. Zehe, E., Ehret, U., Blume, T., Kleidon, A., Scherer, U., and Westhoff, M.: A thermodynamic approach to link self-organization, preferential flow and rainfall-runoff behaviour, Hydrol. Earth Syst. Sci., 17, 4297-4322, 2013

2012

  1. Häring T, Dietz E, Osenstetter S, Koschitzki T, Schröder B: Spatial disaggregation of complex soil map units: A decision tree based approach in Bavarian forest soils. Geoderma 185-186: 37-47, 2012.
  2. Kleidon, A.: How does the earth system generate and maintain thermodynamic disequilibrium and what does it imply for the future of the planet? Phil. Trans. A., 370: 1012-1040, 2010.
  3. Schneider AK, Schröder B.: Perspectives in modelling earthworm dynamics and their feedbacks with abiotic soil properties, Applied Soil Ecology, 58, 29-36. https://doi.org/10.1016/j.apsoil.2012.02.020, 2012.

2011

  1. Fenicia, F., Kavetski, D., and H.H.G. Savenije: Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development. Water Res. Res. 47, DOI:10.1029/2010WR010174, 2011.
  2. Fenicia, F.,and D. Kavetski: Elements of a flexible approach for conceptual hydrological modeling: 2. Application and experimental insights. Water Res. Res. 47, DOI:10.1029/2011WR010748, 2011.

Book chapters

Invited Talks

2016

2015

2014

2013

2012

2011

Conference contributions (talks, posters)

2016

2015

2014

2013

2012

Conferences and sessions at international conferences

2016

2015

2014

2013

2012

2011

Finished PhDs

2015

Student training (CAOS-related BSc and MSc theses)

2016

2014

2013

2012