2018
DOI: 10.5194/amt-11-3281-2018
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Laser pulse bidirectional reflectance from CALIPSO mission

Abstract: Abstract. This paper presents an innovative retrieval method that translates the CALIOP land surface laser pulse returns into the surface bidirectional reflectance. To better analyze the surface returns, the CALIOP receiver impulse response and the downlinked samples' distribution at 30 m vertical resolution are discussed. The saturated laser pulse magnitudes from snow and ice surfaces are recovered based on information extracted from the tail end of the surface signal. The retrieved snow surface bidirectional… Show more

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Cited by 14 publications
(10 citation statements)
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References 29 publications
(32 reference statements)
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“…The strong backscatter signal from the ice/snow surface target often saturates the lidar receiver under clear sky (Hu et al, 2007;Lu et al, 2018). For optically thin clouds with cloud optical depth less than 3, we calculate the clear-sky lidar attenuated backscatter by assuming that the ice and snow surface are a perfect Lambertian reflector, which enables us to estimate the optical depth for the column.…”
Section: Appendix A: Methodology For Cloud Microphysicsmentioning
confidence: 99%
“…The strong backscatter signal from the ice/snow surface target often saturates the lidar receiver under clear sky (Hu et al, 2007;Lu et al, 2018). For optically thin clouds with cloud optical depth less than 3, we calculate the clear-sky lidar attenuated backscatter by assuming that the ice and snow surface are a perfect Lambertian reflector, which enables us to estimate the optical depth for the column.…”
Section: Appendix A: Methodology For Cloud Microphysicsmentioning
confidence: 99%
“…1) Removal of signal that is, flagged as saturated in the data product. Lu et al (2018) implemented a signal saturation flag to the CALIPSO data product. Here, we only consider data that is, not saturated in any way, and ignore data that is, flagged as possibly saturated or certainly saturated as this signal would not yield reliable results.…”
Section: Calispo B Bpmentioning
confidence: 99%
“…In particular, a new algorithm that estimates the likelihood of the saturation of the signal returning from the planetary surface was included in the analysis. This information, crucial for the retrieval of ocean product is reported as a flag value assuming the integer values of 0, 1 or 2 for a not saturated, possibly saturated or certainly saturated detection channel, respectively [4]. More information about the data products can be found at the Atmospheric Science Data Center (ASDC) web site (https: //eosweb.larc.nasa.gov/project/calipso/calipso_tab le, last access: 29 march 2019).…”
Section: Caliop Datasetmentioning
confidence: 99%