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Filtered by keyword:app: solar

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  1. Emde, Claudia, Huan Yu, Arve Kylling, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and Bernhard Mayer (2022), Impact of 3D cloud structures on the atmospheric trace gas products from UV-Vis sounders - Part 1: Synthetic dataset for validation of trace gas retrieval algorithms, Atmos. Meas. Tech., 15(5), 1587–1608, doi:10.5194/amt-15-1587-2022.
  2. Gao, Meng, Bryan A. Franz, Kirk Knobelspiesse, Peng-Wang Zhai, Vanderlei Martins, Sharon Burton, Brian Cairns, Richard Ferrare, Joel Gales, Otto Hasekamp, Yongxiang Hu, Amir Ibrahim, Brent McBride, Anin Puthukkudy, P. Jeremy Werdell, and Xiaoguang Xu (2021), Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model, Atmos. Meas. Tech., 14(6), 4083–4110, doi:10.5194/amt-14-4083-2021.
  3. Korkin, Sergey, Eun-Su Yang, Robert Spurr, Claudia Emde, Nickolay Krotkov, Alexander Vasilkov, David Haffner, Jungbin Mok, and Alexei Lyapustin (2020), Revised and extended benchmark results for Rayleigh scattering of sunlight in spherical atmospheres, J. Quant. Spectrosc. Radiat. Transfer, 254, doi:10.1016/j.jqsrt.2020.107181.
  4. Korkin, S., A. M. Sayer, A. Ibrahim, and A. Lyapustin (2022), A practical guide to writing a radiative transfer code, Comp. Phys. Comm., 271, doi:10.1016/j.cpc.2021.108198.
  5. Yu, H., C. Emde, A. Kylling, B. Veihelmann, B. Mayer, K. Stebel, and M. Van Roozendael (2022), Impact of 3D cloud structures on the atmospheric trace gas products from UV-Vis sounders - Part 2: Impact on NO2 retrieval and mitigation strategies, Atmos. Meas. Tech., 15(19), 5743–5768, doi:10.5194/amt-15-5743-2022.