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CM SAF: Staff

Dr. Martin Stengel

Martin Stengel

Position:Senior Scientist (Cloud group)
Affiliation:Deutscher Wetterdienst (DWD)
Frankfurter Str. 135
Offenbach Germany
Contact:Tel. +49 69 8062 2408
Fax. +49 69 8062 2512
eMail: firstname.lastname@dwd.de
Research interests:
  • Retrievals of geophysical properties using space-based observations
  • Variational retrieval theory and implementation in one- and multi-dimensional assimilation frameworks
  • Global to regional analysis of clouds, their characteristics and spatiotemporal variability
CM SAF related work:
  • Group leader ("Clouds"), coordinating DWD-related cloud activities within CM SAF and other projects
  • Contributing to implementation, evaluation and analysis of AVHRR and SEVIRI-based cloud property datasets CLARA-A1 and CLAAS
  • Coordinating the implementation and production of SEVIRI and (A)TOVS based cloud property datasets
Other related Projects:
Short CV:
  • Since 01/2011: Group leader ("Clouds"), Satellite-based Climate Monitoring, Dept. Climate and Environment, DWD
  • 01/2010-12/2010: Scientist, Satellite-based Climate Monitoring, Dept. Climate and Environment, DWD
  • 04/2009-01/2010: Scientist, Research Dept., Swedish Meteorological and Hydrological Institute (SMHI)
  • 04/2006-04/2009: EUMETSAT Research Fellow, Research Dept., SMHI
  • 02/2005-05/2006: Research Assistent, Dept. Atmospheric and Oceanic Sciences, University of Wisconsin, Madison, Wisonsin, USA
Teaching:
  • Supervision of Master Theses
  • Summer term 2019, 2018, 2017, 2013, : Fernerkundung und Klimadiagnostik (Remote Sensing and Climate Diagnostics), given at Goethe-Universität Frankfurt. Master course.
  • SS2013: Fernerkundung und Klimadiagnostik (Remote Sensing and Climate Diagnostics), given at Goethe-Universität Frankfurt. Master students source.
  • Summer 2013: Clouds as seen by passive imagers. Lecture and exercises given at the Summer School on Remote Sensing of Clouds and Precipitation, held at the Meteorological Institute of the University of Bonn. July 15-19, 2013
    http://www.youtube.com/playlist?list=PLz02QuHhvJgnnpGk0_eFiiBAikAVl5QQh
Selected publications
(peer-reviewed):
  • Coopman, Q., Hoose, C., & Stengel, M. (2019). Detection of Mixed-Phase Convective Clouds by a Binary Phase Information From the Passive Geostationary Instrument SEVIRI. Journal of Geophysical Research: Atmospheres, 124(9), 5045-5057. https://doi.org/10.1029/2018JD029772
  • M. J. Foster, L. Di Girolamo, R. A. Frey, A. K. Heidinger, S. Sun-Mack, C. Phillips, W. P. Menzel, M. Stengel, and G. Zhao, 2019: [Global Climate] Cloudiness [in “State of the Climate in 2018”]. Bull. Amer. Meteor. Soc., 100 (9), S34–S35, Doi:10.1175/2019BAMSStateoftheClimate.1
  • Stengel, M., Stapelberg, S., Sus, O., Finkensieper, S., Würzler, B., Philipp, D., Hollmann, R., Poulsen, C., Christensen, M., and McGarragh, G.: Cloud_cci AVHRR-PM dataset version 3: 35 year climatology of global cloud and radiation properties, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-104, in review, 2019.
  • Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., and Willén, U.: The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model, Geosci. Model Dev., 12, 829-847, https://doi.org/10.5194/gmd-12-829-2019, 2019.
  • Stengel, M., Schlundt, C., Stapelberg, S., Sus, O., Eliasson, S., Willén, U., and Meirink, J. F.: Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-258, in review, 2018.
  • Young, M. P., Chiu, J. C., Williams, C. J., Stein, T. H., Stengel, M., Fielding, M. D., & Black, E. (2018). Spatio-temporal variability of warm rain events over southern West Africa from geostationary satellite observations for climate monitoring and model evaluation. Quarterly Journal of the Royal Meteorological Society, 144(716), 2311-2330.
  • Sus, O., Stengel, M., Stapelberg, S., McGarragh, G., Poulsen, C., Povey, A. C., Schlundt, C., Thomas, G., Christensen, M., Proud, S., Jerg, M., Grainger, R., and Hollmann, R.: The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors, Atmos. Meas. Tech., 11, 3373-3396, https://doi.org/10.5194/amt-11-3373-2018, 2018.
  • McGarragh, G. R., Poulsen, C. A., Thomas, G. E., Povey, A. C., Sus, O., Stapelberg, S., Schlundt, C., Proud, S., Christensen, M. W., Stengel, M., Hollmann, R., and Grainger, R. G.: The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach, Atmos. Meas. Tech., 11, 3397-3431, https://doi.org/10.5194/amt-11-3397-2018, 2018.
  • Keller, M., Kröner, N., Fuhrer, O., Lüthi, D., Schmidli, J., Stengel, M., Stöckli, R., and Schär, C.: The sensitivity of Alpine summer convection to surrogate climate change: an intercomparison between convection-parameterizing and convection-resolving models, Atmos. Chem. Phys., 18, 5253–5264, https://doi.org/10.5194/acp-18-5253-2018, 2018.
  • Lauer, A., Eyring, V., Righi, M., Buchwitz, M., Defourny, P., Evaldsson, M., Friedlingstein, P., de Jeu, R., de Leeuw, G., Loew, A., Merchant, C. J., Müller, B., Popp, T., Reuter, M., Sandven, S., Senftleben, D., Stengel, M., van Roozendael, M., Wenzel, S. and Willen, U. (2017) Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment 203 (2017): 9-39.
  • Stengel, M., Stapelberg, S., Sus, O., Schlundt, C., Poulsen, C., Thomas, G., Christensen, M., Carbajal Henken, C., Preusker, R., Fischer, J., Devasthale, A., Willén, U., Karlsson, K.-G., McGarragh, G. R., Proud, S., Povey, A. C., Grainger, R. G., Meirink, J. F., Feofilov, A., Bennartz, R., Bojanowski, J. S., and Hollmann, R.: Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project, Earth Syst. Sci. Data, 9, 881-904, https://doi.org/10.5194/essd-9-881-2017, 2017.
  • Benas, N., Finkensieper, S., Stengel, M., van Zadelhoff, G.-J., Hanschmann, T., Hollmann, R., and Meirink, J. F.: The MSG-SEVIRI-based cloud property data record CLAAS-2, Earth Syst. Sci. Data, 9, 415-434, https://doi.org/10.5194/essd-9-415-2017, 2017.
  • Taylor, S., Stier, P., White, B., Finkensieper, S., and Stengel, M.: Evaluating the diurnal cycle in cloud top temperature from SEVIRI, Atmos. Chem. Phys., 17, 7035-7053, https://doi.org/10.5194/acp-17-7035-2017, 2017.
  • Karlsson, K.-G., Anttila, K., Trentmann, J., Stengel, M., Fokke Meirink, J., Devasthale, A., Hanschmann, T., Kothe, S., Jääskeläinen, E., Sedlar, J., Benas, N., van Zadelhoff, G.-J., Schlundt, C., Stein, D., Finkensieper, S., Håkansson, N., and Hollmann, R.: CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data, Atmos. Chem. Phys., 17, 5809-5828, https://doi.org/10.5194/acp-17-5809-2017, 2017.
  • Brisson, E., Van Weverberg, K., Demuzere, M., Devis, A., Saeed, S., Stengel, M., & van Lipzig, N. P. (2016). How well can a convection-permitting climate model reproduce decadal statistics of precipitation, temperature and cloud characteristics? Climate Dynamics, 47(9-10), 3043-3061.
  • Foster, M., S. A. Ackerman, A. K. Heidinger, B. C. Maddux, and M. Stengel, 2014: [Global Climate] Cloudiness [in "State of the Climate in 2013"]. Bull. Amer. Meteor. Soc., 95 (7), S22-S23.
  • Lindstrot, R., Stengel, M., Schröder, M., Fischer, J., Preusker, R., Schneider, N., Steenbergen, T., and Bojkov, B. R.: A global climatology of total columnar water vapour from SSM/I and MERIS, Earth Syst. Sci. Data, 6, 221-233, doi:10.5194/essd-6-221-2014, 2014.
  • Stengel, M., Kniffka, A., Meirink, J. F., Lockhoff, M., Tan, J., and Hollmann, R.: CLAAS: the CM SAF cloud property data set using SEVIRI, Atmos. Chem. Phys., 14, 4297-4311, doi:10.5194/acp-14-4297-2014, 2014.
  • Kniffka, A., Stengel, M., Lockhoff, M., Bennartz, R., and Hollmann, R.: Characteristics of cloud liquid water path from SEVIRI onboard the Meteosat Second Generation 2 satellite for several cloud types, Atmos. Meas. Tech., 7, 887-905, doi:10.5194/amt-7-887-2014, 2014.
  • Stengel, M., S. Mieruch, M. Jerg, K.-G. Karlsson, R. Scheirer, B. Maddux, J.F. Meirink, C. Poulsen, R. Siddans, A. Walther, R. Hollmann., The Clouds Climate Change Initiative: Assessment of state-of-the-art cloud property retrieval schemes applied to AVHRR heritage measurements, Remote Sensing of Environment (2013), http://dx.doi.org/10.1016/j.rse.2013.10.035
  • Karlsson, K.-G., Riihelä, A., Müller, R., Meirink, J. F., Sedlar, J., Stengel, M., Lockhoff, M., Trentmann, J., Kaspar, F., Hollmann, R., and Wolters, E.: CLARA-A1: a cloud, albedo, and radiation dataset from 28 yr of global AVHRR data, Atmos. Chem. Phys., 13, 5351-5367, doi:10.5194/acp-13-5351-2013, 2013.
  • Stengel, M., Lindskog, M., Undén, P. and Gustafsson, N. (2013), The impact of cloud-affected IR radiances on forecast accuracy of a limited-area NWP model. Q.J.R. Meteorol. Soc., 139: 2081–2096. doi: 10.1002/qj.2102
  • Eliasson, S., G. Holl, S. A. Buehler, T. Kuhn, M. Stengel, F. Iturbide-Sanchez, and M. Johnston (2013), Systematic and random errors between collocated satellite ice water path observations, J. Geophys. Res. Atmos., 118, 2629–2642, doi:10.1029/2012JD018381.
  • Gustafsson, N., S. Thorsteinsson, M. Stengel, E. Holm, 2010: Use of a nonlinear pseudo-relative humidity variable in a multivariate formulation of moisture analysis, Q. J. R. Meteorol. Soc., 137 (657, Part B), 1004-1018, DOI: 10.1002/qj.813
  • Stengel, M., M. Lindskog, P. Undén, N. Gustafsson, and R. Bennartz, 2010: An extended observation operator in HIRLAM 4D-VAR for the assimilation of cloud-affected satellite radiances. Q. J. R. Meteorol. Soc., 136 (649, Part B), 1064-1074, DOI: 10.1002/qj.621.
  • Stengel, M., P. Undén, M. Lindskog, P. Dahlgren, N. Gustafsson, and R. Bennartz, 2009: Assimilation of SEVIRI infrared radiances with HIRLAM 4D-Var. Q. J. R. Meteorol. Soc., 135 (645, Part B Sp. Iss. SI), 2100–2109, DOI: 10.1002/qj.501.
(Researcher ID) (Citation statistics)
Other publications:
  • Stengel, M. (2011): The assimilation of infrared satellite radiances into a limited-area NWP model. Dissertation, Freie Universität Berlin. http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000023935
  • Stengel, M., 2009/2008/2007: Assimilation of cloudy infra-red radiances in a mesoscale numerical weather prediction model. EUMETSAT fellowship – Final report / 2nd annual report / 1st annual report. Available at SMHI and EUMETSAT.
  • Lindskog M., T. Landelius, N. Gustafsson, P. Undén, M. Stengel, and Per Dahlgren, 2008: Assimilation of high resolution cloud resolving radiances in high resolution models with 4-dimensional pattern matching algorithms. (Accepted project proposal at the Swedish National Space Board)
  • Bennartz R., A. Walther, M. Stengel, 2008: Scientific and technical report on DVAP-3 and DVAP-4. Available at DWD/CM-SAF
  • Stengel, M., 2007: Assimilation of SEVIRI’s Water Vapour Channel Observations in Clear-Sky Conditions into the HIRLAM Model. HIRLAM technical report. Available at SMHI.
  • Stengel, M., J. Fischer, R. Preusker, M. Reuter, J. Schulz, and R. Bennartz, 2006: Optimal estimation of atmospheric water vapor and surface temperature from Meteosat SEVIRI – Science report. Available at DWD/CM-SAF.
  • Stengel, M., 2006: “Fernerkundung atmospaerischen Wasserdampfes mit SEVIRI” (Remote sensing of atmospheric water vapour using SEVIRI), diploma thesis, German, Available at the Institute for Space Sciences, Free University of Berlin

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