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Atmospheric Water Cycle and Remote Sensing (AWARES)

Water vapor, clouds and radiative effects in the Arctic

The Arctic is experiencing rapid changes which result from complex feedback mechanisms which are not well understood. A better understanding of the Arctic climate system is thus a key challenge which we address by exploiting ground-based and satellite remote sensing observations. In particular, we want to gain insight into water vapor, clouds, precipitation and radiative effects in the Arctic. Detailed observations are crucial here and available from long-term measurements at Ny-Ålesund but also from campaign based activities, e.g. MOSAiC. more...

Find out more from Kerstin Ebell

Airborne observations of clouds, precipitation, and surface

Airborne observations fill the gap between local, single point, but temporarily high resolved ground based and satellite borne wide area, but spatialy and temporarily coarse resolved observations. We use them to take a closer look on clouds, precipitation, and the surface in the Arctic and tropics. Often instruments on aircraft are used to test future techniques for satellite applications. more...

Find out more from Mario Mech

Tropical clouds

Clouds in the tropics are crucial for the climate. Many studies showed that climate predictions' largest uncertainties depend on how these small puffy cumulus clouds will respond to global warming. Will they be shallower? Or deeper? Will they rain more? Precipitation in the tropics is also essential for redistributing water vapor in the sub-cloud layer. Rain and cloud in tropical regions live over an immense blue ocean full of eddies that mix water from different areas or big rivers. Does the ocean influence cloud formation? And if so, how? Exploiting the unique multiscale dataset collected during the EUREC4A campaign we try to answer some of these questions.

Satellite innovations

Satellite instruments provide unique views into our climate system with strongly increasing capabilities in the future. For example, the Ice Cloud Imager (ICI) as part of the upcoming MetOp-Second Generation will for the first time provide submillimeter measurements for atmospheric monitoring. The Meteosat Third Generation (MTG) will include sounding instruments for 3D probing of the atmosphere. However, extracting relevant information to infer cloud properties or the atmospheric composition is not straight forward. In this respect, new techniques involving methods from artificial intelligence provide new opportunities, such as deriving fog climatologies.

Media Appearance

Impressions of the Arctic

as a contribution for the student magazine of the UoC (German only)

a video from the Arctic Cloud Observations Using airborne measurements during polar Day (ACLOUD) campaign in corporation with Uni Leipzig, AWI Bremerhaven/Potsdam, TROPOS as well as MPI Mainz, Uni Mainz, KIT and LAMP

Impressions of the tropics

a video of one of our group members made during the EUREC4A  campaign

Latest publications

  • Kiszler, T., K. Ebell, and V. Schemann, 2023: A performance baseline for the representation of clouds and humidity in cloud-resolving ICON-LEM simulations in the Arctic, //Journal of Advances in Modeling Earth Systems//, 15, e2022MS003299,

  • Kirbus, B. et al. (incl. Crewell, S., Ebell, K., Lauer, M., Rückert, J., Walbröl A.), 2023: Surface impacts and associated mechanisms of a moisture intrusion into the Arctic observed in mid-April 2020 during MOSAiC, Frontiers in Earth Science, Sec. Atmospheric Science, 11,

  • Wendisch, M., et al. (incl. S. Crewell, V. Schemann, K. Ebell, R. Gierens, L.-L. Kliesch, M. Lauer, M. Mech), 2023: Atmospheric and Surface Processes, and Feedback Mechanisms Determining Arctic Amplification: A Review of First Results and Prospects of the (AC)³ Project, Bulletin of the American Meteorological Society, 104(1), E208-E242,

  • Shupe et al. (incl. S. Crewell, K. Ebell, M. Mech), 2022: Overview of the MOSAiC Expedition—Atmosphere. Elementa: Science of the Anthropocene 10(1),

  • Viceto, C., Gorodetskaya, I. V., Rinke, A., Maturilli, M., Rocha, A., and S. Crewell, 2022: Atmospheric rivers and associated precipitation patterns during the ACLOUD and PASCAL campaigns near Svalbard (May–June 2017): case studies using observations, reanalyses, and a regional climate model, Atmospheric Chemistry and Physics, 22, 441–463,

  • Acquistapace, C., N. Risse, J. H. Schween, R. Gierens, S. Crewell, A. Garcia-Benadi, R. Coulter, G. Labbri, and A. Myagkov, 2022: EUREC4A's Maria S. Merian ship-based cloud and micro rain radar observations of clouds and precipitation, Earth System Science Data, Special Issue: Elucidating the role of clouds–circulation coupling in climate: datasets from the 2020 (EUREC4A) field campaign, Earth System Science Data, 14, 33–55,

  • Bresson, H., A. Rinke, M. Mech, D. Reinert, V. Schemann, K. Ebell, M. Maturilli, C. Viceto, I. Gorodetskaya, and S. Crewell, 2022: Case study of a moisture intrusion over the Arctic with the ICON model: resolution dependence of its representation, Atmospheric Chemistry and Physics, 22, 173–196,

  • Böhm, C., M. Reyers, L. Knarr, S. Crewell, 2021b: The role of moisture conveyor belts for precipitation in the Atacama Desert, Geophysical Research Letters, (48) 24,

  • Bock, O., P. Bosser, C. Flamant, E. Doerflinger, F. Janssen, R. Fages, S.Bony and S.Schnitt, 2021: IWV observations in the Caribbean Arc from a network of ground-based GNSS receivers during EUREC4A, Earth Syst. Sci. Data,

  • Böhm, C., J. H. Schween, M. Reyers, B. Maier, U. Löhnert, S. Crewell, 2021: Towards a climatology of fog frequency in the Atacama Desert via multi-spectral satellite data and machine learning techniques, Journal of Applied Meteorology and Climatology,

  • see all publications from 2021 onwards

  • see all publications until 2020