Abstract
The High-Spectral-Resolution Lidar (HSRL) Pathfinder Mission concept is designed to provide HSRL measurements at 532 nm and elastic backscatter lidar measurements at 1064 nm. The instrument is based on Clio, the HSRL that was descoped from NASA’s Atmosphere Observing System (AOS) mission due to cost constraints. The NASA Langley Research Center (LaRC) developed the HSRL Pathfinder concept as an example of a lower-cost mission to advance the technology and demonstrate the measurement capability originally planned for AOS. Cost savings are achieved via a Class-D instrument development approach and some reductions in performance from the original Clio design. Despite these changes, the HSRL Pathfinder Mission promises to provide valuable observations for advancing studies of aerosol and cloud radiative effects, cloud microphysics, aerosol-cloud interaction, aerosol transport and speciation, and air quality. The design also enables scientifically important observations of depth-resolved ocean subsurface optical properties, snow water equivalent, and seasonal sea ice, making HSRL Pathfinder a truly multifunctional lidar mission.
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References
Stephens G, Winker D, Pelon J, Trepte C, Vane D, Yuhas C, L’ecuyer T, Lebsock M (2018) CloudSat and CALIPSO within the A-Train: ten years of actively observing the earth system. Bull Am Meteor Soc 99(3):569–581
Behrenfeld MJ, Hu Y, Bisson KM, Lu X, Westberry TK (2022) Retrieval of ocean optical and plankton properties with the satellite Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) sensor: background, data processing, and validation status. Remote Sens Environ 281:113235
Burton SP, Hostetler CA, Cook AL, Hair JW, Seaman ST, Scola S, Harper DB, Smith JA, Fenn MA, Ferrare RA, Saide PE (2018) Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES. Appl Opt 57(21):6061–6075
Seaman ST, Cook AL, Scola SJ, Hostetler CA, Miller I, Welch W (2015) Performance characterization of a pressure-tuned wide-angle Michelson interferometric spectral filter for high spectral resolution lidar. In: Lidar Remote Sensing for Environmental Monitoring XV Proceeding of SPIE. 9612:96120H
Hunt WH, Winker DM, Vaughan MA, Powell KA, Lucker PL, Weimer C (2009) CALIPSO lidar description and performance assessment. J Atmos Oceanic Tech 26(7):1214–1228
Sun X, Blair JB, Bufton JL, Faina M, Dahl S, Bérard P, Seymour RJ (2020) Advanced silicon avalanche photodiodes on NASA's global ecosystem dynamics investigation (GEDI) mission. In: Photonic Instrumentation Engineering VII Proceeding of SPIE 11287:1128713
Burton SP, Ferrare RA, Hostetler CA, Hair JW, Rogers RR, Obland MD, Butler CF, Cook AL, Harper DB, Froyd KD (2012) Aerosol classification using airborne high spectral resolution Lidar measurements–methodology and examples. Atmosp Meas Techn 5(1):73–98
Roy G, Cao X (2010) Inversion of water cloud lidar signals based on accumulated depolarization ratio. Appl Opt 49(9):1630–1635
Grosvenor DP, Sourdeval O, Zuidema P, Ackerman A, Alexandrov MD, Bennartz R, Boers R, Cairns B, Chiu JC, Christensen M, Deneke H (2018) Remote sensing of droplet number concentration in warm clouds: a review of the current state of knowledge and perspectives. Rev Geophys 56(2):409–453
Hostetler CA, Behrenfeld MJ, Hu Y, Hair JW, Schulien JA (2018) Spaceborne lidar in the study of marine systems. Ann Rev Mar Sci 10:121–147
Hu Y, Lu X, Zeng X, Stamnes SA, Neuman TA, Kurtz NT, Zhai P, Gao M, Sun W, Xu K, Liu Z (2022) Deriving snow depth from ICESat-2 LiDAR multiple scattering measurements. Front Rem Sens 3:855159
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Hostetler, C. et al. (2024). The NASA HSRL Pathfinder Mission Concept. In: Singh, U.N., Tzeremes, G., Refaat, T.F., Ribes Pleguezuelo, P. (eds) Space-based Lidar Remote Sensing Techniques and Emerging Technologies. LIDAR 2023. Springer Aerospace Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-53618-2_1
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