Articles | Volume 18, issue 1
https://doi.org/10.5194/gmd-18-101-2025
https://doi.org/10.5194/gmd-18-101-2025
Model description paper
 | 
14 Jan 2025
Model description paper |  | 14 Jan 2025

Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data

Lukas Pfitzenmaier, Pavlos Kollias, Nils Risse, Imke Schirmacher, Bernat Puigdomenech Treserras, and Katia Lamer

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Cited articles

Antonescu, B., Seifert, P., O'Connor, E., and Fomba, K.: Custom collection of categorize, and model data from Mindelo on 15 Jul 2022, ACTRIS Cloud remote sensing data centre unit (CLU) [data set], https://doi.org/10.60656/c5e09106ba0246bc, 2024. a
Battaglia, A. and Kollias, P.: Using Ice Clouds for Mitigating the EarthCARE Doppler Radar Mispointing, IEEE T. Geosci. Remote, 53, 2079–2085, https://doi.org/10.1109/TGRS.2014.2353219, 2015. a
Battaglia, A., Haynes, J. M., L'Ecuyer, T., and Simmer, C.: Identifying multiple-scattering-affected profiles in CloudSat observations over the oceans, J. Geophys. Res.-Atmos., 113, D00A17, https://doi.org/10.1029/2008JD009960, 2008. a
Battaglia, A., Kollias, P., Dhillon, R., Lamer, K., Khairoutdinov, M., and Watters, D.: Mind the gap – Part 2: Improving quantitative estimates of cloud and rain water path in oceanic warm rain using spaceborne radars, Atmos. Meas. Tech., 13, 4865–4883, https://doi.org/10.5194/amt-13-4865-2020, 2020a. a
Battaglia, A., Kollias, P., Dhillon, R., Roy, R., Tanelli, S., Lamer, K., Grecu, M., Lebsock, M., Watters, D., Mroz, K., Heymsfield, G., Li, L., and Furukawa, K.: Spaceborne Cloud and Precipitation Radars: Status, Challenges, and Ways Forward, Rev. Geophys., 58, e2019RG000686, https://doi.org/10.1029/2019RG000686, 2020b. a
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The Python tool Orbital-Radar transfers suborbital radar data (ground-based, airborne, and...
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