D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 30 Citations 3,257 75 World Ranking 6973 National Ranking 443

Overview

What is he best known for?

The fields of study he is best known for:

  • Meteorology
  • Laser
  • Optics

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.

His most cited work include:

  • 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 (206 citations)
  • The Convective and Orographically-induced Precipitation Study (COPS): the scientific strategy, the field phase, and research highlights (153 citations)
  • Atmospheric temperature profiling in the presence of clouds with a pure rotational Raman lidar by use of an interference-filter-based polychromator (131 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Lidar (47.33%)
  • Remote sensing (38.93%)
  • Meteorology (37.40%)

What were the highlights of his more recent work (between 2016-2021)?

  • Lidar (47.33%)
  • Remote sensing (38.93%)
  • Water vapor (34.35%)

In recent papers he was focusing on the following fields of study:

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.

Between 2016 and 2021, his most popular works were:

  • Large-eddy simulations over Germany using ICON: a comprehensive evaluation (122 citations)
  • A New Research Approach for Observing and Characterizing Land-Atmosphere Feedback (32 citations)
  • New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves (17 citations)

In his most recent research, the most cited papers focused on:

  • Meteorology
  • Laser
  • Optics

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

313 Citations

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)

214 Citations

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)

196 Citations

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)

178 Citations

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)

168 Citations

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)

158 Citations

Calculation of the calibration constant of polarization lidar and its dependency on atmospheric temperature.

Andreas Behrendt;Takuji Nakamura.
Optics Express (2002)

158 Citations

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)

147 Citations

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)

116 Citations

Mechanisms initiating deep convection over complex terrain during COPS

Christoph Kottmeier;Norbert Kalthoff;Christian Barthlott;Ulrich Corsmeier.
Meteorologische Zeitschrift (2008)

112 Citations

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