Preprints
https://doi.org/10.5194/egusphere-2026-6212
https://doi.org/10.5194/egusphere-2026-6212
11 Nov 2026
 | 11 Nov 2026

Assessing EarthCARE Cloud Profiling Observations in Arctic Clouds Using Coordinated Airborne Radar and Lidar Underflights

Lars van Gelder, Mario Mech, Athena Augusta Floutsi, Pavlos Kollias, Lukas Pfitzenmaier, Nils Risse, and Susanne Crewell

Abstract. Accurate characterization of Arctic clouds, particularly at low levels, remains challenging due to sparse observations and uncertainties hindering their representation in climate and weather models. The Earth Cloud, Aerosol and Radiation Explorer (EarthCARE) mission provides unique spaceborne observations of clouds and precipitation, including novel Doppler measurements from the Cloud Profiling Radar (CPR) and lidar observations from the Atmospheric Lidar (ATLID). To assess the potential of EarthCARE's CPR and ATLID for Arctic cloud studies, the "Clouds over cOMPlEX environment – EarthCARE" (COMPEX-EC) airborne campaign was conducted in April 2025 from Kiruna, Sweden. Seven research flights collected approximately 5.6 h of along-track measurements coincident with EarthCARE overpasses. The Alfred Wegener Institute's Polar 5 aircraft carried high-resolution active and passive instrumentation, including the 94 GHz Microwave Radar/Radiometer for Arctic Clouds (MiRAC) with a passive channel for liquid water path (LWP) retrievals, the Airborne Mobile Aerosol Lidar (AMALi) for independent cloud top height (CTH) retrievals, complemented by dropsondes for collocated thermodynamic and wind profiles. We assess EarthCARE products using airborne measurements from underflights with a ±15 min temporal distance (about 150 km) from match. In a close range (±10 km), the CPR reflectivity shows little bias below 1 dBZ relative to MiRAC, given EarthCARE's geometry and the Orbital-Radar simulator. This indicates generally good radiometric consistency in Arctic mixed-phase cloud and precipitation systems. The matched segments further allow us to characterize cloud fraction and precipitation rate from MiRAC and AMALi, complementing the EarthCARE assessment with additional information on mixed-phase clouds in downstream regions of marine cold-air outbreaks (MCAOs), which are particularly challenging for Numerical Weather Prediction. Due to strong sublimation occurring in the convective cells, EarthCARE's CPR overestimates surface snowfall in these cases because of its blind zone at 500 m above ground level. The airborne measurements show, on average, 80 m higher CTH from lidar than from radar, which hints at a supercooled liquid layer aloft. While having a much lower number of retrieved ATLID CTH values, EarthCARE shows the opposite, with higher CPR than ATLID CTH. These findings highlight the combined value of active radar and lidar observations for interpreting EarthCARE's cloud and precipitation products in the Arctic.

Competing interests: Pavlos Kollias is a member of the editorial board of Atmospheric Measurement Techniques.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Lars van Gelder, Mario Mech, Athena Augusta Floutsi, Pavlos Kollias, Lukas Pfitzenmaier, Nils Risse, and Susanne Crewell

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Lars van Gelder, Mario Mech, Athena Augusta Floutsi, Pavlos Kollias, Lukas Pfitzenmaier, Nils Risse, and Susanne Crewell
Lars van Gelder, Mario Mech, Athena Augusta Floutsi, Pavlos Kollias, Lukas Pfitzenmaier, Nils Risse, and Susanne Crewell
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Latest update: 11 Nov 2026
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Short summary
Clouds near the Arctic surface are poorly observed and hard to simulate in weather and climate models. We compared radar and lidar (laser) measurements from the EarthCARE satellite with those from an aircraft flying directly beneath it. The satellite radar agrees well with the aircraft radar, but cannot see the lowest 500 meters, so it overestimates snowfall that evaporates before reaching the ground. Radar and lidar disagree on cloud top height, so using both is essential.
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