Publications

Journal Publications

2023

• Elmi, O., & Tourian, M. J., (2023): Retrieving time series of river water extent from global inland water data sets. Journal of Hydrology, 617. https://doi.org/10.1016/j.jhydrol.2022.128880.
• Güntner, A., Gerdener, H., Boergens, E., Kusche, J., Kollet, S., Dobslaw, H., Hartick, C., Sharifi, E., & Flechtner, F. (2023) Veränderungen der Wasserspeicherung in Deutschland seit 2002 aus Beobachtungen der Satellitengravimetrie. Hydrologie & Wasserbewirtschaftung, 67, (2), 4-89. https://doi.org/10.5675/HyWa_2023.2_1.

2022

• Gerdener, H., Kusche, J., Schulze, K., Ghazaryan, G., & Dubovyk, O. (2022) Revising precipitation-water storages-vegetation signatures with GRACE-based data assimilation. Journal of Hydrology, 128096. https://doi.org/10.1016/j.jhydrol.2022.128096.
• Guillet, G., King, O., Lv, M., Ghuffar, S., Benn, D., Quincey, D., and Bolch, T. (2022) A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach. Cryosphere, vol. 16, no. 2, pp. 603-623. https://doi.org/10.5194/tc-16-603-2022.
• Sogno, P., Klein, I., and Kuenzer, C. (2022) Remote Sensing of Surface Water Dynamics in the Context of Global Change – A Review. Remote Sensing, 14(10), 2475. https://doi.org/10.3390/rs14102475.

2021

• Deggim, S., Eicker, A., Schawohl, L., Gerdener, H., Schulze, K., Engels, O., Kusche, J., Saraswati, A., van Dam, T., Ellenbeck, L., Dettmering, D., Schwatke, C., Mayr, S.,Klein, I., and Longuevergne, L. (2021) RECOG RL01: Correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes, Earth Syst. Sci. Data, 13, 2227–2244, doi.org/10.5194/essd-13-2227-2021.
• Elmi, O., Tourian, M. J., Bárdossy, A., and Sneeuw, N. (2021): Spaceborne River Discharge from a Nonparametric Stochastic Quantile Mapping Function. Water Resources Research. https://doi.org/10.1029/2021WR030277.
• Klein, I., Mayr, S., Gessner, U., Hirner, A., and Kuenzer, C. (2021) Water and hydropower reservoirs: High temporal resolution time series derived from MODIS data to characterize seasonality and variability. Remote Sensing of Environment, 253, 112207. https://doi.org/10.1016/j.rse.2020.112207.
• Löcher, A. and Kusche, J. (2021): A hybrid approach for recovering high-resolution temporal gravity fields from satellite laser ranging. Journal of Geodesy 95.1, 1-15. https://doi.org/10.1007/s00190-020-01460-x.
• Mayr, S., Klein, I., Rutzinger, M., and Kuenzer, C. (2021) Systematic Water Fraction Estimation for a Global and Daily Surface Water Time-Series. Remote Sensing, 13(14), 2675. https://doi.org/10.3390/rs13142675.
• Mayr, S., Klein, I., Rutzinger, M., and Kuenzer, C. (2021) Determining Temporal Uncertainty of a Global Inland Surface Water Time Series. Remote Sensing, 13(17), 3454. https://doi.org/10.3390/rs13173454.
• Müller Schmied, H., Cáceres, D., Eisner, S., Flörke, M., Herbert, C., Niemann, C., Peiris, T. A., Popat, E., Portmann, F. T., Reinecke, R., Schumacher, M., Shadkam, S., Telteu, C.-E., Trautmann, T., Döll, P. (2021): The global water resources and use model WaterGAP v2.2d: Model description and evaluation. Geosci. Model Dev., 14, 1037–1079. https://doi.org/10.5194/gmd-14-1037-2021.

2020

• Dettmering, D., Ellenbeck, L., Scherer, D., Schwatke, C., and Niemann, C. (2020): Potential and Limitations of Satellite Altimetry Constellations for Monitoring Surface Water Storage Changes – A Case Study in the Mississippi Basin. Remote Sensing, 12(20), 3320. https://doi.org/10.3390/rs12203320.
• Hoeser, T., Bachofer, F., and Kuenzer, C. (2020): Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review – Part II: Applications. Remote Sensing 12.18. https://doi.org/10.3390/rs12183053.
• Saemian, P., Elmi, O., Vishwakarma, B. D., Tourian, M. J., and Sneeuw, N. (2020): Analyzing the Lake Urmia restoration progress using ground-based and spaceborne observations. Science of The Total Environment, 139857. https://doi.org/10.1016/j.scitotenv.2020.139857.
• Wangchuk, S., and Bolch, T. (2020) Mapping of glacial lakes using Sentinel-1 and Sentinel-2 data and a random forest classifier: Strengths and challenges. Science of Remote Sensing, 2, 100008. https://doi.org/10.1016/j.srs.2020.100008.

2019

• King, O., Bhattacharya, A., Bhambri, R., and Bolch, T. (2019): Glacier lake expansion exacerbates Himalayan glacier mass loss. Scientific Reports, 9 (18145). https://doi.org/10.1038/s41598-019-53733-x.
• Mayr, S., Kuenzer, C., Gessner, U., Klein, I., and Rutzinger, M. (2019): Validation of Earth Observation Time-Series: A Review for Large-Area and Temporally Dense Land Surface Products. Remote Sens. 2019, 11, 2616. https://doi.org/10.3390/rs11222616.

Conference Presentations

2023

• Gerdener, H., Kusche, J., Schulze, K., Döll, P., and Klos, A.: The global land water storage data set GLWS 2.0: assimilating GRACE and GRACE-FO into a global hydrological model, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-5086, https://doi.org/10.5194/egusphere-egu23-5086.
• Hasan, H. M., Hosseini-Moghari, S.-M., Döll, P., and Güntner, A. (2023): Multi-variable Pareto optimal calibration of the global hydrological model WaterGAP for 1500 major drainage basins around the globe, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11245, https://doi.org/10.5194/egusphere-egu23-11245.
• Hosseini-Moghari, S.-M., and Döll, P. (2023): Using observation data to improve simulation of man-made reservoirs in a global hydrological model, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-9951, https://doi.org/10.5194/egusphere-egu23-9951.
• Scherer, D., Schwatke, C., Dettmering, D., and Seitz, F.: IRIS: Global River Surface Slopes from ICESat-2, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-8652, https://doi.org/10.5194/egusphere-egu23-8652.
• Schulze, K., Gerdener, H., Engels, O., Kusche, J., and Döll, P. (2023): Calibration of a global hydrological model while simultaneously assimilating satellite-derived total water storage anomalies and in-situ streamflow observations, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11733, https://doi.org/10.5194/egusphere-egu23-11733.
• Schwatke, C., Halicki, M., and Scherer, D. (2023): High-resolution water surface slope of Polish rivers from two decades of multi-mission satellite altimetry measurements, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11956, https://doi.org/10.5194/egusphere-egu23-11956.

2022

• Döll, P. (2022): Wasser auf den Kontinenten der Erde: Natürliche und anthropogene Variabilitäten in Raum und Zeit, The Changing Earth, Institut für Erdmessung, Universität Hannover, Hannover, 29.06.2022.
• Döll, P. (2022): Global-scale quantification of drought hazards and risks: Selection of indicators for a global drought early warning system. 1st International Water Summit, The Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sde Boker, Israel, 22.05.2022.
• Döll, P. (2022): Auf dem Weg zu einem globalen Dürrefrühwarnsystem: Auswahl der Indikatoren, Tag der Hydrologie, München, 22.03.2022.
• Döll, P. (2022): Multivariate ensemble-basierte Kalibrierung des globalen hydrologischen Modells WaterGAP, Tag der Hydrologie, München, 21.03.2022.
• Elmi, O., and Tourian, M. J. (2022): Global dynamic river masks from Landsat imagery, ESA Living Planet Symposium 2022, Bonn, Germany, 23–27 May 2022.
• Elmi, O., Tourian, M. J., Bárdossy, A., and Sneeuw, N. (2022): Spaceborne river discharge from a nonparametric stochastic quantile mapping function, ESA Living Planet Symposium 2022, Bonn, Germany, 23–27 May 2022.
• Guillet, G., and Bolch, T. (2022): Probabilistic estimation of glacier surface elevation changes from DEM differentiation: a Bayesian method for outlier filtering, gap filling and uncertainty estimation with examples from High Mountain Asia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10073, https://doi.org/10.5194/egusphere-egu22-10073.
• Hasan, H.M.M., Hsu, K.-H., Eicker, A., Longuevergne, L., and Güntner, A. (2022): Improved groundwater simulations by multi-criteria calibration of a global hydrological model in the river basins of France, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7384, https://doi.org/10.5194/egusphere-egu22-7384.
• Hsu, K.-H., Eicker, A., Hasan, M., Güntner, A., and Longuevergne, L. (2022): Estimating groundwater storage changes for major river basins in France using a regional groundwater data set , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7127, https://doi.org/10.5194/egusphere-egu22-7127.
• Gerdener, H., Kusche, J., Schulze, K., Ghazaryan, G., and Dubovyk, O. (2022): Modeled water – vegetation dynamics under revision using GRACE-based data assimilation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6981, https://doi.org/10.5194/egusphere-egu22-6981.
• Gerdener, H., Kusche, J., Schulze, K., Ghazaryan, G., and Dubovyk, O. (2022): Using GRACE-based assimilation for the revision of modeled water – vegetation dynamics , ESA Living Planet Symposium 2022, Bonn, Germany, 23–27 May 2022.
• Kusche, J. (2022): Quantum Missions for Climate: Accelerating space solutions for a green future, ESA Living Planet Symposium 2022, Bonn, Germany, 23–27 May 2022.
• Kusche, J., Mielke, C., Engels, O., Fupeng, L., and Uebbing, B. (2022): How robust are estimates of hydrology–driven global sea level change based on modelling and GRACE data?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4091, https://doi.org/10.5194/egusphere-egu22-4091.
• Scherer, D., Schwatke, C., and Dettmering, D. (2022): Estimating Water Surface Slope of Rivers Using ICESat-2 Observations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4110, https://doi.org/10.5194/egusphere-egu22-4110.
• Schulze, K., Gerdener, H., and Kusche, J. (2022): Enhancing hydrological model output by joint satellite data assimilation, ESA Living Planet Symposium 2022, Bonn, Germany, 23–27 May 2022.
• Schulze, K., Kusche, J., Gerdener, H., Engels, O., Döll, P., Müller Schmied, H., Ackermann, S., and Shadkam, S. (2022): Joint assimilation of GRACE Total Water Storage Anomalies and In-Situ Streamflow Data into a Global Hydrological Model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5321, https://doi.org/10.5194/egusphere-egu22-5321.
• Schwatke, C., Scherer, D., and Dettmering, D. (2022): DAHITI – Next generation of water level time series of inland waters, ESA Living Planet Symposium 2022, Bonn, Germany, 23–27 May 2022.
• Tourian, M. J., Behnia, S., Yu, S., Elmi, O., and Sneeuw, N. (2022): Estimation of inter-satellite and inter-track biases of satellite altimetry missions over lakes and reservoirs using surface area from satellite imagery, ESA Living Planet Symposium 2022, Bonn, Germany, 23–27 May 2022.

2021

• Hsu, K.-H., Longuevergne, L., Eicker, A., Hasan, M., Güntner, A., Engels, O., Schulze, K., and Kusche, J. (2021): Using high-resolution groundwater data for the validation of a global hydrological model: evaluating WaterGAP and calibration/data assimilation (C/DA) performance over France. EGU General Assembly 2021, online, 19–30 April 2021, EGU21-1317, https://doi.org/10.5194/egusphere-egu21-1317.
• Gerdener, H., Schulze, K., and Kusche, J. (2021): The 0.5° global land water storage (GLWS) data set based on GRACE and GRACE-FO data assimilation. GRACE-FO Science Team Meeting, 13 October 2021, online.
• Mayr, S., Klein, I., Rutzinger, M., and Kuenzer, C. (2021): Uncertainty Estimation for a Global Inland Surface Water Time-Series. EGU General Assembly, 2021, online, 19–30 April 2021, EGU21-6399, https://doi.org/10.5194/egusphere-egu21-6399.
• Saraswati, A. T., Hsu, K.-H., van Dam, T., and Eicker, A. (2021): Surface deformations observed by GPS and its relation to groundwater variations in France. EGU General Assembly 2021, online, 19–30 April 2021, EGU21-15146, https://doi.org/10.5194/egusphere-egu21-15146.
• Schulze, K., Engels, O., Kusche, J., Gerdener, H., Müller Schmied, H., Niemann, C., Ackermann, S., and Döll, P. (2021): Joint assimilation of GRACE satellite and in-situ discharge observations into a global hydrological model. EGU General Assembly 2021, online, 19–30 April 2021, EGU21-7511, https://doi.org/10.5194/egusphere-egu21-7511.

2020

• Engels, O., Schulze, K., Kusche, J., Deggim, S., Eicker, A., Mayr, S., Klein, I., Ellenbeck, L., Dettmering, D., Schwatke, C., Elmi, O., Tourian, M. and Döll, P. (2020): Analyzing different ways of assimilating volume change estimates for surface bodies into a hydrological model. EGU General Assembly, 2020, Online, 4-8 may 2020, EGU2020-7196, https://doi.org/10.5194/egusphere-egu2020-7196. (PDF)
• Hsu, K.-H., Longuevergne, L. and Eicker, A. (2020): How to validate calibrated/assimilated global hydrological outputs with high resolution groundwater data and regional models: an investigation of WaterGAP performance over France , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6587, https://doi.org/10.5194/egusphere-egu2020-6587.
• Mielke, C., Engels, O., Uebbing, U., Gerdener, H., Börger, L., Schulze, K., Döll, P., and Kusche, J. (2020): How accurate is hydrological contribution to global sea level based on modelling compared to obser-vational data?. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5802, https://doi.org/10.5194/egusphere-egu2020-5802. (PDF)

• Schulze, K., Kusche, J., Engels, O., Döll, P., Shadkam, S., and Niemann, C. (2020): Effect of joint assimilation of GRACE and discharge observations on simulated water storages and fluxes. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13235, https://doi.org/10.5194/egusphere-egu2020-13235. (PDF)

2019

• Bolch, T., Bhattacharya, A. King, O. and Allen, S. (2019): Characteristics and changes of glaciers, rock glaciers and glacial lakes in High Mountain Asia since the 1960s (invited). American Geophysical Union fall meeting, 9.-13.12.2019, San Francisco, U.S.A.
• Bolch, T. (2019): National and global glacier inventories and glacier volume changes with a focus on Central Asia and High Mountain Asia (invited keynote). General Assembly of the World Glacier Monitoring Service, 10.-14.9.2019, Almaty, Kazakhstan.
• Bolch, T. (2019): Heterogenous Glacier Mass Changes in High-Mountain Asia Revealed by Multi-Temporal Remote Sensing Data. 8.7.2019, Institute of Remote Sensing and Digital Earth (RADI), Beijing, China.
• Bolch, T. (2019): Status and Change of the Cryosphere in the Himalayan Region. 6.2.2019, Tribhuvan University, Kathmandu, Nepal.
• Bolch, T. (2019): Status and Change of the Cryosphere in the Himalayan Region. International Workshop on the Asian Water Tower, 26.01.2019, Beijing, China.
• Bolch, T. (2019): Heterogeneous Glacier Mass Changes on the Asian Water Tower During the Last 50 Years and the Importance of Glacial Lakes. International Workshop on the Asian Water Tower, 11.7.2019, Beijing, China.
• Bhattacharya, A., Bolch, T., King, O. and Yao, T.D. (2019): Reanalyses of glacier mass budgets in High Mountain Asia based on geodetic measurements since 1960s. AGUs Fall Meeting, December 9-13 2019, San Francisco, CA, USA, Abstract ID: 520697.
• Bhattacharya, A., King, O., Bhambri, R. and Bolch, T. (2019): Glacier lakes drives increasing mass loss of Himalayan glaciers. 27th IUGG General Assembly, July 8-18 2019, Montreal, Quebec, Canada.
• Bolch, T., King, O., Bhattacharya, A., Bhambri, R. and Yao, T. (2019): Glacier lake expansion exacerbates Himalayan glacier mass loss. 2019 Dragon 4 symposium, June 24-28 2019, Ljubljana, Slovenia.
• Deggim, S. and Eicker, A. (2019): Separating surface water body mass changes from GRACE water storage estimates. Geophysical Research Abstracts, Vol. 21, EGU2019-18606, EGU General Assembly, 2019.
• Ellenbeck, L., Dettmering, D., Schwatke, C. and Seitz, F. (2019): Improving Altimetry-Derived Water Level Time Series of Small Inland Water Bodies: Impact of Introducing Time-Dependent Land-Water Masks. ESA Living Planet Symposium, Milan, 2019.
• Engels, O., Kusche, J., Schulze, K., Gerdener, H., Lück, C. and Döll, P. (2019): How large is the added value of Swarm time-variable gravity if assimilated into WGHM?. Geophysical Research Abstracts, Vol. 21, EGU2019-7297, EGU General Assembly, 2019.
• Hasan, M., Güntner, A. and Papa, F. (2019): Multi-criterial calibration of WGHM in the Ganges-Brahmaputra basin. Geophysical Research Abstracts, Vol. 21, EGU2019-8301, EGU General Assembly, 2019.
• Saraswati, A. and van Dam, T. (2019): Comparison of GPS displacements and simulated deformation due to hydrological loading; Study case: Mississippi Basin. Second Summer School of DAAD Thematic Network “Modern Geodetic Space Techniques for Global Change Monitoring”, Stuttgart, 2019.
• Schulze, K., Kusche, J., and Engels, O. (2019): Joint assimilation of Total Water Storage Anomalies (TWSA) and discharge observations into a hydrological model. Geophysical Research Abstracts, Vol. 21, EGU2019-6654, EGU General Assembly, 2019.
• Shadkam, S., Niemann, C., and Doell, P. (2019): Advance the understanding of the Mississippi basin freshwater system by comparing multiple observational data types with the Water Global Assessment and Prognosis (WaterGAP) model outputs. Geophysical Research Abstracts, Vol. 21, EGU2019-10962, EGU General Assembly, 2019.

2018

• Deggim, S. and Eicker, A. (2018): The influence of small-scale mass variations on GRACE water storage estimates. Geodetic Week at the INTERGEO in Frankfurt, 2018 (PDF).
• Schulze, K., Kusche, J., Engels, O. and Schumacher, M. (2018): Assimilation of GRACE Data into a Hydrological Model for the Mississippi Basin. Geodetic Week at the INTERGEO in Frankfurt, 2018.