Saadi, M. , C. Furusho-Percot, 2024: Which range of streamflow data is most informative in the calibration of an hourly hydrological model? Hydrological Sciences Journal Volume 69, 2024 - Issue 1, 1-20, https://doi.org/10.1080/02626667.2023.2277835.
Chen, J.-Y., R. Reinoso-Rondinel, S. Trömel, C. Simmer, A. Ryzhkov, 2023: A Radar-Based Quantitative Precipitation Estimation Algorithm to Overcome the Impact of Vertical Gradients of Warm-Rain Precipitation: The Flood in Western Germany on 14 July 2021. Journal of Hydrometeorology, 24(3), 521–536, https://doi.org/10.1175/JHM-D-22-0111.1.
Djibo, M., C. Chwala, M. Graf, J. Polz, H. Kunstmann and F. Zougmoré, 2023: High-resolution rainfall maps from commercial microwave links for a data-scarce region in West Africa. Journal of Hydrometeorology, 24(10), 1847-1861. https://doi.org/10.1175/JHM-D-23-0015.1.
Glawion, L., J. Polz, H. Kunstmann, B. Fersch and C. Chwala, 2023: spateGAN: Spatio-temporal downscaling of rainfall fields using a cGAN approach. Earth and Space Science, 10(10), e2023EA002906. https://doi.org/10.1029/2023EA002906.
Polz, J., M. Graf and C. Chwala, 2023: Missing rainfall extremes in commercial microwave link data due to total loss of signal. Earth and Space Science, accepted, https://doi.org/10.1029/2022EA002456.
Reimann, L., Simmer, C., and S. Trömel, 2023: Assimilation of 3D polarimetric microphysical retrievals in a convective-scale NWP system, Atmos. Chem. Phys., 23, 14219–14237, https://doi.org/10.5194/acp-23-14219-2023.
Saadi, M., C. Furusho-Percot, A. Belleflamme, J.-Y. Chen, S. Trömel and S. Kollet, 2023: How uncertain are precipitation and peak flow estimates for the July 2021 flooding event? Nat. Hazards Earth Syst. Sci., 23(1), 159–177, https://doi.org/10.5194/nhess-23-159-2023.
Saadi, M., C. Furusho-Percot, A. Belleflamme, S. Trömel, S. Kollet and R. Reinoso-Rondinel, 2023: Comparison of Three Radar-Based Precipitation Nowcasts for the Extreme July 2021 Flooding Event in Germany. Journal of Hydrometeorology, 24(7), 1241–1261,https://doi.org/10.1175/JHM-D-22-0121.1.
Trömel, S., U. Blahak, R. Evaristo, J. Mendrok, L. Neef, V. Pejcic, T. Scharbach, P. Shrestha, and C. Simmer, 2023: Fusion of radar polarimetry and atmospheric modeling. In V. N. Bringi, K. V. Mishra, & M. Thurai (Eds.), Advances in Weather Radar, Volume 2: Precipitation science, scattering and processing algorithms (pp. 293–344). IET The Institution of Engineering and Technology, ISBN-13: 978-1-83953-624-3, https://doi.org/10.1049/SBRA557G.
Wagner, A., C. Chwala, M. Graf, J. Polz, L. Lliso, J.A. Lahuerta and H. Kunstmann, 2023: Improved rain event detection in Commercial Microwave Link time series via combination with MSG SEVIRI data, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-175.
Furusho-Percot, C., K. Goergen, C. Hartick, L. Poshyvailo-Strube and S. Kollet, 2022: Groundwater Model Impacts Multiannual Simulations of Heat Waves. Geophysical Research Letters, 49(10), 1–11, https://doi.org/10.1029/2021GL096781.
Potthast, R., K. Vobig, U. Blahak, C. Simmer, 2022: Data Assimilation of Nowcasted Observations. Monthly Weather Review, 150(5), 969–980, https://doi.org/10.1175/MWR-D-21-0017.1.
Reinoso-Rondinel R., M. Rempel, M. Schultze, S. Trömel, 2022: Nationwide Radar-Based Precipitation Nowcasting – A Localization Filtering Approach and its Application for Germany. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 1670–1691, https://doi.org/10.1109/JSTARS.2022.3144342.
Chen, J.-Y., S. Trömel, A. Ryzhkov, C. Simmer, 2021: Assessing the benefits of specific attenuation for quantitative precipitation estimation with a C-band radar network. Journal of Hydrometeorology, 22(10), 2617–2631, https://doi.org/10.1175/JHM-D-20-0299.1.
Chen, J.-Y., W.-Y. Chang, P.-L. Chang, 2021: A Synthetic Quantitative Precipitation Estimation by Integrating S- and C-Band Dual-Polarization Radars over Northern Taiwan. Remote Sens., 13(1), 154, https://doi.org/10.3390/rs13010154.
El Kassar, J., C. Carbajal Henken, R. Preusker, J. Fischer, 2021: Optimal Estimation MSG-SEVIRI Clear-Sky Total Column Water Vapour Retrieval Using the Split Window Difference. Atmosphere, 12(10), 1256, https://doi.org/10.3390/atmos12101256.
León-Cruz, J. F., C. Carbajal Henken, N. Carbajal , J. Fischer , 2021: Spatio-temporal distribution of deep convection observed along the Trans-Mexican Volcanic Belt. Remote Sens., 13(6), 1215, https://doi.org/10.3390/rs13061215.
Preusker, R., C. Carbajal Henken, J. Fischer, 2021: Retrieval of daytime total column water vapour from OLCI measurements over land surfaces. Remote Sens., 13(5), 932, https://doi.org/10.3390/rs13050932.
Reimann, L., C. Simmer, S. Trömel, 2021: Dual-polarimetric radar estimators of liquid water content over Germany. Meteorol. Z. (Contrib. Atm. Sci.), 30(3), 237–249, https://doi.org//10.1127/metz/2021/1072.
Trömel, S., C. Chwala, C. Furusho-Percot, C. Carbajal Henken, J. Polz, R. Potthast, R. Reinoso-Rondinel, C. Simmer, 2021: Near-Realtime Quantitative Precipitation Estimation and Prediction (RealPEP). Bulletin of the American Meteorological Society, 102(8), E1591–E1596, https://doi.org/10.1175/BAMS-D-21-0073.1.
Vobig, K., K. Stephan, U. Blahak, K. Khosravian, R. Potthast, 2021: Targeted Covariance Inflation for 3D-Volume RADAR Reflectivity Assimilation with the LETKF. Q. J. Roy. Meteor. Soc., 147(740), 3789–3805, https://doi.org/10.1002/qj.4157.
Carbajal Henken, C. K., L. Dirks, S. Steinke, H. Diedrich, T. August, S. Crewell, 2020: Assessment of sampling effects on various satellite-derived integrated water vapor datasets using GPS measurements in Germany as reference. Remote Sens., 12(7), 1170, https://doi.org/10.3390/rs12071170.
Graf, M., C. Chwala, J. Polz, H. Kunstmann, 2020: Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data, Hydrol. Earth Syst. Sci., 24(6), 2931–2950, https://doi.org/10.5194/hess-24-2931-2020.
Polz, J., C. Chwala, M. Graf, H. Kunstmann, 2020: Rain event detection in commercial microwave link attenuation data using convolutional neural networks, Atmos. Meas. Tech., 13(7), 3835–3853, https://doi.org/10.5194/amt-13-3835-2020.
Poméon, T., N. Wagner, C. Furusho-Percot, S. Kollet, R. Reinoso-Rondinel, 2020: Performance of a PDE-Based Hydrologic Model in a Flash Flood Modeling Framework in Sparsely-Gauged Catchments. Water, 12(8), 2157, https://doi.org/10.3390/w12082157.
Furusho-Percot, C., K. Goergen, C. Hartick, K. Kulkarni, J. Keune, S. Kollet, 2019. Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation. Sci. Data, 6(320), https://doi.org/10.1038/s41597-019-0328-7.
Trömel, S., A. Ryzhkov, B. Hickman, K. Mühlbauer, C. Simmer, 2019: Polarimetric Radar Variables in the Layers of Melting and Dendritic Growth at X Band—Implications for a Nowcasting Strategy in Stratiform Rain. J. Appl. Meteor. Climatol., 58(11), 2497–2522, https://doi.org/10.1175/JAMC-D-19-0056.1.
Neto, J. D., S. Kneifel, D. Ori, S. Trömel, J. Handwerker, B. Bohn, N. Hermes, K. Mühlbauer, M. Lennefer, C. Simmer, 2019: The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation. Earth Syst. Sci. Data, 11(2), 845–863, https://doi.org/10.5194/essd-11-845-2019.
Schinagl, K., P. Friederichs, S. Trömel, C. Simmer, 2019: Gamma Drop Size Distribution Assumptions in Bulk Model Parameterizations and Radar Polarimetry and Their Impact on Polarimetric Radar Moments. J. Appl. Meteor. Climatol., 58(3), 467–478, https://doi.org/10.1175/JAMC-D-18-0178.1.