Andreas Behrendt mostly deals with Lidar, Meteorology, Raman spectroscopy, Mesoscale meteorology and Precipitation. His Lidar research incorporates themes from Planetary boundary layer, Temporal resolution, Troposphere and Data assimilation. Within one scientific family, Andreas Behrendt focuses on topics pertaining to Remote sensing under Troposphere, and may sometimes address concerns connected to Daytime.
His work on Numerical weather prediction as part of his general Meteorology study is frequently connected to Climate model, thereby bridging the divide between different branches of science. Andreas Behrendt has included themes like Nowcasting and Flood forecasting in his Mesoscale meteorology study. Andreas Behrendt interconnects Convection and Forcing in the investigation of issues within Precipitation.
Andreas Behrendt mainly focuses on Lidar, Remote sensing, Meteorology, Water vapor and Atmospheric sciences. His work carried out in the field of Lidar brings together such families of science as Planetary boundary layer, Raman spectroscopy and Backscatter. His Remote sensing research focuses on Troposphere and how it relates to Stratosphere.
His work is connected to Precipitation, Data assimilation, Radiosonde, Mesoscale meteorology and Weather Research and Forecasting Model, as a part of Meteorology. His research investigates the link between Water vapor and topics such as Turbulence that cross with problems in Boundary layer and Resolution. Andreas Behrendt has researched Atmospheric sciences in several fields, including Atmosphere, Convection, Convective Boundary Layer and Aerosol.
His primary areas of study are Lidar, Remote sensing, Water vapor, Atmosphere and Turbulence. His studies in Lidar integrate themes in fields like Geophysics, Atmospheric sciences, Meteorology, Data assimilation and Planetary boundary layer. His biological study focuses on Large eddy simulation.
As part of one scientific family, he deals mainly with the area of Remote sensing, narrowing it down to issues related to the Humidity, and often Field campaign and Remote sensing. The study incorporates disciplines such as Temporal resolution, Troposphere, Mixing ratio and Numerical weather prediction in addition to Water vapor. The various areas that Andreas Behrendt examines in his Turbulence study include Resolution and Boundary layer.
His scientific interests lie mostly in Remote sensing, Lidar, Climatology, Atmosphere and Remote sensing. His research in Remote sensing intersects with topics in Moisture, Water vapor, Frequency domain sensor, Planetary boundary layer and Troposphere. As a member of one scientific family, Andreas Behrendt mostly works in the field of Water vapor, focusing on Optics and, on occasion, Numerical weather prediction.
His study on Numerical weather prediction is covered under Meteorology. His Lidar research is multidisciplinary, relying on both Latent heat, Backscatter, Data assimilation and Convective Boundary Layer. His Atmosphere study incorporates themes from Humidity and Field campaign.
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The Convective and Orographically Induced Precipitation Study. A Research and Development Project of the World Weather Research Program for Improving Quantitative Precipitation Forecasting in Low-Mountain Regions
Volker Wulfmeyer;Andreas Behrendt;Hans-Stefan Bauer;Christoph Kottmeier.
Bulletin of the American Meteorological Society (2008)
Atmospheric temperature profiling in the presence of clouds with a pure rotational Raman lidar by use of an interference-filter-based polychromator
Andreas Behrendt;Jens Reichardt.
Applied Optics (2000)
The Convective and Orographically-induced Precipitation Study (COPS): the scientific strategy, the field phase, and research highlights
Volker Wulfmeyer;Andreas Behrendt;Christoph Kottmeier;Ulrich Corsmeier.
Quarterly Journal of the Royal Meteorological Society (2011)
Large-eddy simulations over Germany using ICON: a comprehensive evaluation
Rieke Heinze;Rieke Heinze;Anurag Dipankar;Cintia Carbajal Henken;Christopher Moseley.
Quarterly Journal of the Royal Meteorological Society (2017)
Combined Raman lidar for the measurement of atmospheric temperature, water vapor, particle extinction coefficient, and particle backscatter coefficient
Andreas Behrendt;Takuji Nakamura;Michitaka Onishi;Rudolf Baumgart.
Applied Optics (2002)
MAP D-PHASE: Real-Time Demonstration of Weather Forecast Quality in the Alpine region
Mathias W. Rotach;Paolo Ambrosetti;Felix Ament;Christof Appenzeller.
Bulletin of the American Meteorological Society (2009)
Calculation of the calibration constant of polarization lidar and its dependency on atmospheric temperature.
Andreas Behrendt;Takuji Nakamura.
Optics Express (2002)
Scanning rotational Raman lidar at 355 nm for the measurement of tropospheric temperature fields
M. Radlach;A. Behrendt;V. Wulfmeyer.
Atmospheric Chemistry and Physics (2008)
A review of the remote sensing of lower-tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles
Volker Wulfmeyer;R. Michael Hardesty;David D. Turner;Andreas Behrendt.
Reviews of Geophysics (2015)
Mechanisms initiating deep convection over complex terrain during COPS
Christoph Kottmeier;Norbert Kalthoff;Christian Barthlott;Ulrich Corsmeier.
Meteorologische Zeitschrift (2008)
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