ALADIN: the lidar instrument for the AEOLUS mission

Schillinger, Marc; Morancais, Didier; Fabre, Frédéric; Culoma, Alain

doi:10.1117/12.463024

Cited by 20 publications

(9 citation statements)

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“…A slightly divergent beam of light incident on a plane-parallel Fabry-Perot produces a circular ring pattern of interference fringes. A fringeimaging Fizeau interferometer system (Schillinger et al 2003;Reitebuch et al 2009) is currently being integrated into the aerosol channel of the European ADM-Aeolus mission instrument. The ring pattern may then be imaged on a CCD or focal plane array or modified via special optical components to produce either lines or rings (Hays 1990;Dehring et al 2005;Irgang et al 2002) or points (McGill et al 1997c).…”

Section: Double-edge Detection Fpmentioning

confidence: 99%

Lidar-Measured Wind Profiles: The Missing Link in the Global Observing System

Baker

Atlas

Cardinali

et al. 2014

Bull. Amer. Meteor. Soc.

168

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Section: Double-edge Detection Fpmentioning

confidence: 99%

Lidar-Measured Wind Profiles: The Missing Link in the Global Observing System

Baker

Atlas

Cardinali

et al. 2014

Bull. Amer. Meteor. Soc.

168

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“…More recently, high UV-fluences can be generated by frequency conversion of solid state lasers emitting close to 1 µm wavelength and important space projects using these lasers are realized [7] generating a need to understand multi-pulse laser damage issues. Indeed, it was observed in various optical materials that multi-pulse irradiation leads to a decrease of the laser-induced damage threshold with increasing number of pulses.…”

Section: Introductionmentioning

confidence: 99%

Nanosecond UV laser-induced fatigue effects in the bulk of synthetic fused silica: a multi-parameter study

Gouldieff¹,

Wagner²,

Natoli³

2015

Opt. Express

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Multiple-pulse S-on-1 laser damage experiments were carried out in the bulk of synthetic fused silica at 355 nm and 266 nm. Two beam sizes were used for each wavelength and the pulse duration was 8 ns. The results showed a fatigue effect that is due to cumulative material modifications. The modifications have a long lifetime and the fatigue dynamics are independent of the used beam sizes but differ for the two wavelengths. Based on the fact that, in the context of material-modification induced damage, the damage thresholds for smaller beams are higher than for larger beams, we discuss possible mechanisms of damage initiation.

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“…One of the two interferometers uses the double-edge technique using two Fabry-Perot interferometers (Chanin et al, 1989;Flesia and Korb, 1999;Flesia and Hirt, 2000;Gentry et al, 2000), which is mainly sensitive to atmospheric molecules (Rayleigh channel). The other one uses a spectrometer based on a Fizeau interferometer (Schillinger et al, 2003;Morancais et al, 2004), which is sensitive to aerosol and cloud particles (Mie channel). Both the Fizeau and Fabry-Perot interferometers act as a narrowband filter.…”

Section: Overview Of Aeolus and Aladinmentioning

confidence: 99%

Validation of Aeolus Level 2B wind products using wind profilers, ground-based Doppler wind lidars, and radiosondes in Japan

Iwai

Arai

Oshiro

et al. 2021

Preprint

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Abstract. The first space-based Doppler wind lidar (DWL) onboard the Aeolus satellite was launched by the European Space Agency (ESA) on 22 August 2018 to obtain global profiles of horizontal line-of-sight (HLOS) wind speed. In this study, the Raleigh-clear and Mie-cloudy winds for periods of baseline 2B02 (from 1 October to 18 December 2018) and 2B10 (from 28 June to 31 December 2019 and from 20 April to 8 October 2020) were validated using 33 wind profilers (WPRs) installed all over Japan, two ground-based coherent Doppler wind lidars (CDWLs), and 18 GPS-radiosondes (GPS-RSs). In particular, vertical and seasonal analyses were performed and discussed using WPR data. During the baseline 2B02 period, a positive bias was found to be in the ranges of 0.46–1.69 m s−1 for Rayleigh-clear winds and 1.63–2.42 m s−1 for Mie-cloudy winds using the three independent reference instruments. The biases of Rayleigh-clear and Mie-cloudy winds were in the ranges of −0.82−+0.45 m s−1 and −0.71−+0.16 m s−1 during the baseline 2B10 period, respectively. The systematic error for the baseline 2B10 was improved as compared with that for the baseline 2B02. The vertical analysis using WPR data showed that the systematic error was slightly positive in all altitude ranges up to 11 km during the baseline 2B02 period. During the baseline 2B10 period, the systematic errors of Rayleigh-clear and Mie-cloudy winds were improved in all altitude ranges up to 11 km as compared with the baseline 2B02. Immediately after the launch of Aeolus, both Rayleigh-clear and Mie-cloudy biases were small. Within the baseline 2B02, the Rayleigh-clear and Mie-cloudy biases showed a positive trend. For the baseline 2B10, the Rayleigh-clear wind bias was generally negative at all months except August 2020, and Mie-cloudy wind bias gradually fluctuated. The systematic error was close to zero with time in 2020 and did not show a marked seasonal trend. The dependence of the Rayleigh-clear wind bias on the scattering ratio was investigated, showing that the scattering ratio had a minimal effect on the systematic error of the Rayleigh-clear winds during the baseline 2B02 period. On the other hand, during the baseline 2B10 period, there was no significant bias dependence on the scattering ratio. Without the estimated representativeness error associated with the comparisons using WPR observations, the Aeolus random error was determined to be 6.71 (5.12) and 6.42 (4.80) m s−1 for Rayleigh-clear (Mie-cloudy) winds during the baseline 2B02 and 2B10 periods, respectively. The main reason for the large random errors is probably related to the large representativeness error due to the large sampling volume of the WPRs. Using the CDWLs, the Aeolus random error estimates were in the range of 4.49–5.31 (2.93–3.19) and 4.81–5.21 (3.30–3.37) m s−1 for Rayleigh-clear (Mie-cloudy) winds during the baseline 2B02 and 2B10 periods, respectively. By taking the GPS-RS representativeness error into account, the Aeolus random error was determined to be 4.01 (3.24) and 3.02 (2.89) m s−1 for Rayleigh-clear (Mie-cloudy) winds during the baseline 2B02 and 2B10 periods, respectively.

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ALADIN: the lidar instrument for the AEOLUS mission

Cited by 20 publications

References 0 publications

Lidar-Measured Wind Profiles: The Missing Link in the Global Observing System

Lidar-Measured Wind Profiles: The Missing Link in the Global Observing System

Nanosecond UV laser-induced fatigue effects in the bulk of synthetic fused silica: a multi-parameter study

Validation of Aeolus Level 2B wind products using wind profilers, ground-based Doppler wind lidars, and radiosondes in Japan

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