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Preface to the special issue "EarthCARE Level 2 algorithms and data products": Editorial in memory of Tobias Wehr.
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- Atmospheric Measurement Techniques, 2024, v. 17, n. 10, p. 3081, doi. 10.5194/amt-17-3081-2024
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HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties.
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- Atmospheric Measurement Techniques, 2024, v. 17, n. 2, p. 693, doi. 10.5194/amt-17-693-2024
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An intercomparison of EarthCARE cloud, aerosol, and precipitation retrieval products.
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- Atmospheric Measurement Techniques, 2024, v. 17, n. 2, p. 875, doi. 10.5194/amt-17-875-2024
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Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 23, p. 5953, doi. 10.5194/amt-16-5953-2023
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Wildfire smoke triggers cirrus formation: lidar observations over the eastern Mediterranean.
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- Atmospheric Chemistry & Physics, 2023, v. 23, n. 22, p. 14097, doi. 10.5194/acp-23-14097-2023
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Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause.
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- Atmospheric Chemistry & Physics, 2023, v. 23, n. 19, p. 12821, doi. 10.5194/acp-23-12821-2023
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Cloud top heights and aerosol layer properties from EarthCARE lidar observations: the A-CTH and A-ALD products.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 17, p. 4031, doi. 10.5194/amt-16-4031-2023
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Long-term validation of Aeolus L2B wind products at Punta Arenas, Chile, and Leipzig, Germany.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 16, p. 3809, doi. 10.5194/amt-16-3809-2023
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HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 10, p. 2485, doi. 10.5194/amt-16-2485-2023
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Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products.
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- Atmospheric Measurement Techniques Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-327
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Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019-2020--light-extinction, CCN, and INP levels from the boundary layer to the tropopause.
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- Atmospheric Chemistry & Physics Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-444
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Long-term validation of Aeolus L2B wind products at Punta Arenas, Chile and Leipzig, Germany.
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- Atmospheric Measurement Techniques Discussions, 2022, p. 1, doi. 10.5194/amt-2022-331
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Ozone depletion in the Arctic and Antarctic stratosphere induced by wildfire smoke.
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- Atmospheric Chemistry & Physics, 2022, v. 22, n. 17, p. 11701, doi. 10.5194/acp-22-11701-2022
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Ozone depletion in the Arctic and Antarctic stratosphere induced by wildfire smoke.
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- Atmospheric Chemistry & Physics Discussions, 2022, p. 37, doi. 10.5194/acp-2022-247
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First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust.
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- Atmospheric Chemistry & Physics, 2022, v. 22, n. 1, p. 355, doi. 10.5194/acp-22-355-2022
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Wildfire smoke, Arctic haze, and aerosol effects on mixed-phase and cirrus clouds over the North Pole region during MOSAiC: an introduction.
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- Atmospheric Chemistry & Physics, 2021, v. 21, n. 17, p. 13397, doi. 10.5194/acp-21-13397-2021
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First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust.
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- Atmospheric Chemistry & Physics Discussions, 2021, p. 1, doi. 10.5194/acp-2021-608
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Californian Wildfire Smoke Over Europe: A First Example of the Aerosol Observing Capabilities of Aeolus Compared to Ground‐Based Lidar.
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- Geophysical Research Letters, 2021, v. 48, n. 8, p. 1, doi. 10.1029/2020GL092194
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Advection of Biomass Burning Aerosols towards the Southern Hemispheric Mid-Latitude Station of Punta Arenas as Observed with Multiwavelength Polarization Raman Lidar.
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- Remote Sensing, 2021, v. 13, n. 1, p. 138, doi. 10.3390/rs13010138
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UTLS wildfire smoke over the North Pole region, Arctic haze, and aerosol-cloud interaction during MOSAiC 2019/20: An introductory.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1, doi. 10.5194/acp-2020-1271
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The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework.
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- Atmospheric Chemistry & Physics, 2020, v. 20, n. 23, p. 15247, doi. 10.5194/acp-20-15247-2020
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The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – case studies.
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- Atmospheric Chemistry & Physics, 2020, v. 20, n. 23, p. 15265, doi. 10.5194/acp-20-15265-2020
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Validation of Aeolus wind products above the Atlantic Ocean.
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- Atmospheric Measurement Techniques, 2020, v. 13, n. 11, p. 6007, doi. 10.5194/amt-13-6007-2020
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Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm.
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- Atmospheric Chemistry & Physics, 2020, v. 20, n. 15, p. 9265, doi. 10.5194/acp-20-9265-2020
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The dual-field-of-view polarization lidar technique: A new concept in monitoring aerosol effects in liquid-water clouds -- Case studies.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1, doi. 10.5194/acp-2020-489
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The dual-field-of-view polarization lidar technique: A new concept in monitoring aerosol effects in liquid-water clouds -- Theoretical framework.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1, doi. 10.5194/acp-2020-473
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Smoke of extreme Australian bushfires observed in the stratosphere over Punta Arenas, Chile, in January 2020: optical thickness, lidar ratios, and depolarization ratios at 355 and 532 nm.
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- Atmospheric Chemistry & Physics, 2020, v. 20, n. 13, p. 8003, doi. 10.5194/acp-20-8003-2020
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Biomass burning aerosols in the southern hemispheric midlatitudes as observed with a multiwavelength polarization Raman lidar.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1
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Validation of Aeolus wind products above the Atlantic Ocean.
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- Atmospheric Measurement Techniques Discussions, 2020, p. 1, doi. 10.5194/amt-2020-198
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- Article
Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1, doi. 10.5194/acp-2020-258
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Smoke of extreme Australian bushfires observed in the stratosphere over Punta Arenas, Chile, in January 2020: optical thickness, lidar ratios, and depolarization ratios at 355 and 532 nm.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1, doi. 10.5194/acp-2020-96
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EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product.
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- Atmospheric Chemistry & Physics, 2019, v. 19, n. 18, p. 11743, doi. 10.5194/acp-19-11743-2019
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EARLINET evaluation of the CATS L2 aerosol backscatter coefficient product.
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- Atmospheric Chemistry & Physics Discussions, 2019, p. 1, doi. 10.5194/acp-2019-45
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Polarization lidar: an extended three-signal calibration approach.
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- Atmospheric Measurement Techniques, 2019, v. 12, n. 2, p. 1077, doi. 10.5194/amt-12-1077-2019
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Dust remote sensing advances in the framework of ACTRIS.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Assimilating vertical profiles of dust observations with ensemble meteorological initial and boundary conditions.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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An automatic observation-based aerosol typing method for EARLINET.
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- Atmospheric Chemistry & Physics, 2018, v. 18, n. 21, p. 15879, doi. 10.5194/acp-18-15879-2018
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Polarization lidar: An extended three-signal calibration approach.
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- Atmospheric Measurement Techniques Discussions, 2018, p. 1, doi. 10.5194/amt-2018-370
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Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21-22 August 2017.
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- Atmospheric Chemistry & Physics, 2018, v. 18, n. 16, p. 11831, doi. 10.5194/acp-18-11831-2018
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An automatic observation-based typing method for EARLINET.
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- Atmospheric Chemistry & Physics Discussions, 2018, p. 1, doi. 10.5194/acp-2018-427
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Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe – Part 1: AERONET, MODIS and lidar observations.
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- Atmospheric Chemistry & Physics Discussions, 2018, p. 1, doi. 10.5194/acp-2018-357
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Experimental techniques for the calibration of lidar depolarization channels in EARLINET.
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- Atmospheric Measurement Techniques, 2018, v. 11, n. 2, p. 1119, doi. 10.5194/amt-11-1119-2018
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The EarthCARE L2 lidar retrieval chain.
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- Geophysical Research Abstracts, 2018, v. 20, p. 3047
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Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements.
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- Atmospheric Measurement Techniques, 2017, v. 10, n. 9, p. 3175, doi. 10.5194/amt-10-3175-2017
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Experimental techniques for the calibration of lidar depolarization channels in EARLINET.
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- Atmospheric Measurement Techniques Discussions, 2017, p. 1, doi. 10.5194/amt-2017-141
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Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset.
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- Atmospheric Chemistry & Physics, 2017, v. 17, n. 9, p. 5893, doi. 10.5194/acp-17-5893-2017
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Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements.
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- Atmospheric Measurement Techniques Discussions, 2017, p. 1, doi. 10.5194/amt-2016-410
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3D evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset.
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- Atmospheric Chemistry & Physics Discussions, 2016, p. 1, doi. 10.5194/acp-2016-902
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Assessment of lidar depolarization uncertainty by means of a polarimetric lidar simulator.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 10, p. 4935, doi. 10.5194/amt-9-4935-2016
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Relationship between temperature and apparent shape of pristine ice crystals derived from polarimetric cloud radar observations during the ACCEPT campaign.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 8, p. 3739, doi. 10.5194/amt-9-3739-2016
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