Articles | Volume 17, issue 19
https://doi.org/10.5194/amt-17-5957-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-5957-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Oct 2024
Research article |
| 11 Oct 2024
| 11 Oct 2024
The Ice Cloud Imager: retrieval of frozen water column properties
Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
Bengt Rydberg
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Inderpreet Kaur
Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Vinia Mattioli
EUMETSAT, Darmstadt, Germany
Hanna Hallborn
Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
Patrick Eriksson
Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
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Atmos. Meas. Tech., 17, 3533–3552, https://doi.org/10.5194/amt-17-3533-2024, https://doi.org/10.5194/amt-17-3533-2024, 2024
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Simon Pfreundschuh, Clément Guilloteau, Paula J. Brown, Christian D. Kummerow, and Patrick Eriksson
Atmos. Meas. Tech., 17, 515–538, https://doi.org/10.5194/amt-17-515-2024, https://doi.org/10.5194/amt-17-515-2024, 2024
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The latest version of the GPROF retrieval algorithm that produces global precipitation estimates using observations from the Global Precipitation Measurement mission is validated against ground-based radars. The validation shows that the algorithm accurately estimates precipitation on scales ranging from continental to regional. In addition, we validate candidates for the next version of the algorithm and identify principal challenges for further improving space-borne rain measurements.
Michael Kiefer, Dale F. Hurst, Gabriele P. Stiller, Stefan Lossow, Holger Vömel, John Anderson, Faiza Azam, Jean-Loup Bertaux, Laurent Blanot, Klaus Bramstedt, John P. Burrows, Robert Damadeo, Bianca Maria Dinelli, Patrick Eriksson, Maya García-Comas, John C. Gille, Mark Hervig, Yasuko Kasai, Farahnaz Khosrawi, Donal Murtagh, Gerald E. Nedoluha, Stefan Noël, Piera Raspollini, William G. Read, Karen H. Rosenlof, Alexei Rozanov, Christopher E. Sioris, Takafumi Sugita, Thomas von Clarmann, Kaley A. Walker, and Katja Weigel
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Atmos. Meas. Tech., 15, 5701–5717, https://doi.org/10.5194/amt-15-5701-2022, https://doi.org/10.5194/amt-15-5701-2022, 2022
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William G. Read, Gabriele Stiller, Stefan Lossow, Michael Kiefer, Farahnaz Khosrawi, Dale Hurst, Holger Vömel, Karen Rosenlof, Bianca M. Dinelli, Piera Raspollini, Gerald E. Nedoluha, John C. Gille, Yasuko Kasai, Patrick Eriksson, Christopher E. Sioris, Kaley A. Walker, Katja Weigel, John P. Burrows, and Alexei Rozanov
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Vasileios Barlakas, Alan J. Geer, and Patrick Eriksson
Atmos. Meas. Tech., 14, 3427–3447, https://doi.org/10.5194/amt-14-3427-2021, https://doi.org/10.5194/amt-14-3427-2021, 2021
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Inderpreet Kaur, Patrick Eriksson, Simon Pfreundschuh, and David Ian Duncan
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Currently, cloud contamination in microwave humidity channels is addressed using filtering schemes. We present an approach to correct the cloud-affected microwave humidity radiances using a Bayesian machine learning technique. The technique combines orthogonal information from microwave channels to obtain a probabilistic prediction of the clear-sky radiances. With this approach, we are able to predict bias-free clear-sky radiances with well-represented case-specific uncertainty estimates.
Robin Ekelund, Patrick Eriksson, and Michael Kahnert
Atmos. Meas. Tech., 13, 6933–6944, https://doi.org/10.5194/amt-13-6933-2020, https://doi.org/10.5194/amt-13-6933-2020, 2020
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Raindrops become flattened due to aerodynamic drag as they increase in mass and fall speed. This study calculated the electromagnetic interaction between microwave radiation and non-spheroidal raindrops. The calculations are made publicly available to the scientific community, in order to promote accurate representations of raindrops in measurements. Tests show that the drop shape can have a noticeable effect on microwave observations of heavy rainfall.
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Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B898 COSMICS flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/b5758a268bf74497b658628e8b4d7199 (last access: 1 October 2024), 2016d. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B939 WINTEX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/dcc9dc73d8bc44caa51f5e8641f2c212 (last access: 1 October 2024), 2016e. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B940 WINTEX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/3b5348ea45cb455aac0c97139233ab65 (last access: 1 October 2024), 2016f. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B941 WINTEX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/35c0f63e11614cd8853f2b75f780193b (last access: 1 October 2024), 2016g. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B945 CIRCCREX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/3d031fd113e04cab800c8fd58d1e9e61 (last access: 1 October 2024), 2016h. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B949 CIRCCREX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/7a1c976f7df14c8784d9166b3e75522c (last access: 1 October 2024), 2016i. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B951 WINTEX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/36225d447ab04cb6aad1a7e0ba9064bf (last access: 1 October 2024), 2016j. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B952 WINTEX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/72c383b0f97d46c28454db3adcbdd3ec (last access: 1 October 2024), 2016k. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM B984 ISMAR and T-NAWDEX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/46ca2a2cc8ce497fbf06beaf31f67098 (last access: 1 October 2024), 2016l. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C153 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/6a2bc7a1edc34650bd41e0f958cbd50a (last access: 1 October 2024), 2019a. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C156 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/1c470a6cd7544aa0b181491088688384 (last access: 1 October 2024), 2019b. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C157 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/2dd33547716548d9b0017c292d6156cd (last access: 1 October 2024), 2019c. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C158 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/67fdcb450e87488ab9ddd6e263966827 (last access: 1 October 2024), 2019d. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C159 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/68cfc7f294554646803c80b2a389e105 (last access: 1 October 2024), 2019e. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C160 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/6abfeb3f8bd244899259c5c4cad3dc49 (last access: 1 October 2024), 2019f. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C161 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/133e15c47c024aa4b30e3f6f54af8b77 (last access: 1 October 2024), 2019g. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C164 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/c3461c55e13942df9e3e217daeb4a909 (last access: 1 October 2024), 2019h. a
Facility for Airborne Atmospheric Measurements, Natural Environment Research Council, and Met Office: FAAM C168 PIKNMIX-F flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft, CEDA Archive [data set], https://catalogue.ceda.ac.uk/uuid/aee65288656346d286eb1247638c1ebf (last access: 1 October 2024), 2019i. a
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Short summary
The upcoming Ice Cloud Imager (ICI) mission is set to improve measurements of atmospheric ice through passive microwave and sub-millimetre wave observations. In this study, we perform detailed simulations of ICI observations. Machine learning is used to characterise the atmospheric ice present for a given simulated observation. This study acts as a final pre-launch assessment of ICI's capability to measure atmospheric ice, providing valuable information to climate and weather applications.
The upcoming Ice Cloud Imager (ICI) mission is set to improve measurements of atmospheric ice...
