Articles | Volume 15, issue 14
https://doi.org/10.5194/acp-15-8147-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-15-8147-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jul 2015
Research article |
| 23 Jul 2015
Airborne observations and simulations of three-dimensional radiative interactions between Arctic boundary layer clouds and ice floes
M. Schäfer
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
E. Bierwirth
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
now at: PIER-ELECTRONIC GmbH, Nassaustr. 33–35, 65719 Hofheim-Wallau, Germany
A. Ehrlich
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
E. Jäkel
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
M. Wendisch
Leipzig Institute for Meteorology, University of Leipzig, Leipzig, Germany
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Cited
16 citations as recorded by crossref.
- Reconstruction of high-resolution time series from slow-response broadband terrestrial irradiance measurements by deconvolution A. Ehrlich & M. Wendisch 10.5194/amt-8-3671-2015
- A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign A. Ehrlich et al. 10.5194/essd-11-1853-2019
- Remote Sensing J. Bühl et al. 10.1175/AMSMONOGRAPHS-D-16-0015.1
- Design and characterization of specMACS, a multipurpose hyperspectral cloud and sky imager F. Ewald et al. 10.5194/amt-9-2015-2016
- Directional, horizontal inhomogeneities of cloud optical thickness fields retrieved from ground-based and airbornespectral imaging M. Schäfer et al. 10.5194/acp-17-2359-2017
- Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign M. Mech et al. 10.5194/amt-12-5019-2019
- Simulated and observed horizontal inhomogeneities of optical thickness of Arctic stratus M. Schäfer et al. 10.5194/acp-18-13115-2018
- Influence of atmospheric adjacency effect on top-of-atmosphere radiances and its correction in the retrieval of Lambertian surface reflectivity based on three-dimensional radiative transfer B. Sun et al. 10.1016/j.rse.2021.112543
- A biased sampling approach to accelerate backward Monte Carlo atmospheric radiative transfer simulations and its application to Arctic heterogeneous cloud and surface conditions B. Sun et al. 10.1016/j.jqsrt.2019.106690
- Airborne measurements of directional reflectivity over the Arctic marginal sea ice zone S. Becker et al. 10.5194/amt-15-2939-2022
- Atmospheric Correction Model for Water–Land Boundary Adjacency Effects in Landsat-8 Multispectral Images and Its Impact on Bathymetric Remote Sensing H. Zhang et al. 10.3390/rs14194769
- MOSAiC-ACA and AFLUX - Arctic airborne campaigns characterizing the exit area of MOSAiC M. Mech et al. 10.1038/s41597-022-01900-7
- Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing A. Ehrlich et al. 10.5194/amt-10-3215-2017
- Towards an advanced observation system for the marine Arctic in the framework of the Pan-Eurasian Experiment (PEEX) T. Vihma et al. 10.5194/acp-19-1941-2019
- Understanding the influence of ocean waves on Arctic sea ice simulation: a modeling study with an atmosphere–ocean–wave–sea ice coupled model C. Yang et al. 10.5194/tc-18-1215-2024
- Reconstruction of high resolution time series from slow-response broadband solar and terrestrial irradiance measurements by deconvolution A. Ehrlich & M. Wendisch 10.5194/amtd-8-5179-2015
15 citations as recorded by crossref.
- Reconstruction of high-resolution time series from slow-response broadband terrestrial irradiance measurements by deconvolution A. Ehrlich & M. Wendisch 10.5194/amt-8-3671-2015
- A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign A. Ehrlich et al. 10.5194/essd-11-1853-2019
- Remote Sensing J. Bühl et al. 10.1175/AMSMONOGRAPHS-D-16-0015.1
- Design and characterization of specMACS, a multipurpose hyperspectral cloud and sky imager F. Ewald et al. 10.5194/amt-9-2015-2016
- Directional, horizontal inhomogeneities of cloud optical thickness fields retrieved from ground-based and airbornespectral imaging M. Schäfer et al. 10.5194/acp-17-2359-2017
- Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign M. Mech et al. 10.5194/amt-12-5019-2019
- Simulated and observed horizontal inhomogeneities of optical thickness of Arctic stratus M. Schäfer et al. 10.5194/acp-18-13115-2018
- Influence of atmospheric adjacency effect on top-of-atmosphere radiances and its correction in the retrieval of Lambertian surface reflectivity based on three-dimensional radiative transfer B. Sun et al. 10.1016/j.rse.2021.112543
- A biased sampling approach to accelerate backward Monte Carlo atmospheric radiative transfer simulations and its application to Arctic heterogeneous cloud and surface conditions B. Sun et al. 10.1016/j.jqsrt.2019.106690
- Airborne measurements of directional reflectivity over the Arctic marginal sea ice zone S. Becker et al. 10.5194/amt-15-2939-2022
- Atmospheric Correction Model for Water–Land Boundary Adjacency Effects in Landsat-8 Multispectral Images and Its Impact on Bathymetric Remote Sensing H. Zhang et al. 10.3390/rs14194769
- MOSAiC-ACA and AFLUX - Arctic airborne campaigns characterizing the exit area of MOSAiC M. Mech et al. 10.1038/s41597-022-01900-7
- Combined retrieval of Arctic liquid water cloud and surface snow properties using airborne spectral solar remote sensing A. Ehrlich et al. 10.5194/amt-10-3215-2017
- Towards an advanced observation system for the marine Arctic in the framework of the Pan-Eurasian Experiment (PEEX) T. Vihma et al. 10.5194/acp-19-1941-2019
- Understanding the influence of ocean waves on Arctic sea ice simulation: a modeling study with an atmosphere–ocean–wave–sea ice coupled model C. Yang et al. 10.5194/tc-18-1215-2024
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