Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research Atmospheric Environmental Research (IMK-IFU), Campus Alpin, 82467 Garmisch-Partenkirchen, Germany
Hannes Vogelmann
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research Atmospheric Environmental Research (IMK-IFU), Campus Alpin, 82467 Garmisch-Partenkirchen, Germany
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research Atmospheric Environmental Research (IMK-IFU), Campus Alpin, 82467 Garmisch-Partenkirchen, Germany
Dresden University of Technology (TUD), Faculty of Environmental Sciences, Institute of Hydrology and Meteorology, 01737 Tharandt, Germany
Jens Reichardt
Richard-Aßmann-Observatorium, Deutscher Wetterdienst, 15848 Lindenberg, Germany
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research Atmospheric Environmental Research (IMK-IFU), Campus Alpin, 82467 Garmisch-Partenkirchen, Germany
Dresden University of Technology (TUD), Faculty of Environmental Sciences, Institute of Hydrology and Meteorology, 01737 Tharandt, Germany
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Total article views: 2,540 (including HTML, PDF, and XML)
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1,914
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Total article views: 3,969 (including HTML, PDF, and XML)
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Total article views: 2,540 (including HTML, PDF, and XML)
Thereof 2,540 with geography defined
and 0 with unknown origin.
Total article views: 1,429 (including HTML, PDF, and XML)
Thereof 1,386 with geography defined
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Humidity transport from the Earth's surface into the atmosphere is relevant for many processes. However, knowledge of the actual distribution of humidity concentrations is sparse – mainly due to technological limitations. With the lidar presented herein, it is possible to measure humidity concentrations and their vertical fluxes up to altitudes of > 3 km with high spatiotemporal resolution, opening new possibilities for detailed process understanding and, ultimately, better model representation.
Humidity transport from the Earth's surface into the atmosphere is relevant for many processes....