Top

Published in:

2024 | OriginalPaper | Chapter

Towards Establishing a Long-Term Cloud Record from Space-Borne Lidar Observations

Authors : Artem Feofilov, Hélène Chepfer, Vincent Noël, Maryam Hajiaghazadeh-Roodsari

Published in: Space-based Lidar Remote Sensing Techniques and Emerging Technologies

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Clouds play a crucial role in the Earth’s energy budget, but their feedback is still uncertain. A thorough grasp of clouds, encompassing their cover, vertical arrangement, and optical characteristics, is vital for comprehending and predicting the Earth's energy balance and climate. Satellite observations have been providing a continuous monitoring of clouds, with active sounders being of particular importance because of their vertical and horizontal resolution and accuracy. But, comparing the clouds retrieved from different space-borne lidars is challenging because of differences in wavelength, pulse energy, detector type, local time of overpass, and so on. This study presents an approach to merge clouds measured by the space-borne lidar ALADIN/Aeolus (355 nm), with clouds retrieved from the CALIPSO lidar observations (532 nm). The method involves compensating for the instrumental differences to attain comparable cloud datasets. This sets a path for integrating future lidars, such as ATLID/EarthCare, into the global lidar cloud record.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

previous chapter A SmallSat Lidar Concept for Measurements of Aerosol and Cloud Spatiotemporal Variability

next chapter Carbon Dioxide Active Remote Sensing Using Pulsed 2-µm Lidar

Winker D, Chepfer H, Noël V, Cai X (2017) Observational constraints on cloud feedbacks: the role of active satellite sensors. Surv Geophys 38:1483–1508. https://doi.org/10.1007/s10712-017-9452-0CrossRef

Chepfer H, Noël V, Winker D, Chiriaco M (2014) Where and when will we observe cloud changes due to climate warming? Geophys Res Lett 41:8387–8395. https://doi.org/10.1002/2014GL061792CrossRef

Chepfer H, Noël V, Chiriaco M, Wielicki B, Winker D, Loeb N, Wood R (2018) The potential of multi-decades space-born lidar to constrain cloud feedbacks. J Geophys Res Atmos. https://doi.org/10.1002/2017JD027742CrossRef

Winker DM, Hunt WH, Hostetler CA (2004) Status and performance of the CALIOP Lidar. Proc SPIE 5575:8–15CrossRef

Winker DM, Hunt WH, McGill MJ (2007) Initial performance assessment of CALIOP. Geophys Res Lett 34:L19803. https://doi.org/10.1029/2007GL030135CrossRef

Winker DM, Vaughan MA, Omar AH, Hu Y, Powell KA, Liu Z, Hunt WH, Young SA (2009) Overview of the CALIPSO mission and CALIOP data processing algorithms. J Atmos Ocean Tech 26:2310–2323. https://doi.org/10.1175/2009JTECHA1281.1CrossRef

Chepfer H, Bony S, Winker D, Chiriaco M, Dufresne J-L, Sèze G (2008) Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model. Geophys Res Lett 35:L15704. https://doi.org/10.1029/2008GL034207CrossRef

Chepfer H, Bony S, Winker D, Cesana G, Dufresne J-L, Minnis P, Stubenrauch CJ, Zeng S (2010) The GCM oriented Calipso cloud product (CALIPSO-GOCCP). J Geophys Res 115, D00H16. https://doi.org/10.1029/2009JD012251

Chepfer H, Cesana G, Winker D, Getzewich B, Vaughan M, Liu Z (2012) Comparison of two different cloud climatologies derived from CALIOP attenuated backscattered measurements (Level 1): the CALIPSO-ST and the CALIPSO-GOCCP. J Atmos Oceanic Technol. https://doi.org/10.1175/JTECH-D-12-00057.1CrossRef

10.

Flament T, Trapon D, Lacour A, Dabas A, Ehlers F, Huber D (2021) Aeolus L2A aerosol optical properties product: standard correct algorithm and Mie correct algorithm. Atmos Meas Tech 14:7851–7871. https://doi.org/10.5194/amt-14-7851-2021CrossRef

11.

Feofilov AG, Chepfer H, Noël V, Guzman R, Gindre C, Ma P-L, Chiriaco M (2022) Comparison of scattering ratio profiles retrieved from ALADIN/Aeolus and CALIOP/CALIPSO observations and preliminary estimates of cloud fraction profiles. Atmos Meas Tech 15:1055–1074. https://doi.org/10.5194/amt-15-1055-2022CrossRef

12.

Feofilov AG, Chepfer H, Noël V, Szczap F (2023) Incorporating EarthCARE observations into a multi-lidar cloud climate record: the ATLID (Atmospheric Lidar) cloud climate product. Atmos Meas Tech 16:3363–3390. https://doi.org/10.5194/amt-16-3363-2023CrossRef

13.

Platt CMR (1973) Lidar and radiometric observations of cirrus clouds. J Atmos Sci 30:1191–1204CrossRef

14.

Garnier A, Pelon J, Vaughan MA, Winker DM, Trepte CR, Dubuisson P (2015) Lidar multiple scattering factors inferred from CALIPSO lidar and IIR retrievals of semi-transparent cirrus cloud optical depths over oceans. Atmos Meas Tech 8(7):2759–2774. https://doi.org/10.5194/amt-8-2759-2015CrossRef

15.

Donovan DP (2016) The expected impact of multiple scattering on ATLID signals. EPJ Conf 119(1):01006. https://doi.org/10.1051/epjconf/201611901006CrossRef

16.

Chiriaco M, Vautard R, Chepfer H, Haeffelin M, Dudhia J, Wanherdrick Y, Morille Y, Protat A (2006) The ability of MM5 to simulate ice clouds: systematic comparison between simulated and measured fluxes and Lidar/Radar profiles at the SIRTA atmospheric observatory. Monthly Weather Rev 134(3):897–918. https://doi.org/10.1175/MWR3102.1CrossRef

17.

Chepfer H, Cesana G, Winker D, Getzewich B, Vaughan M (2013) Comparison of two different cloud climatologies derived from CALIOP Level 1 observations: the CALIPSO-ST and the CALIPSO-GOCCP. J Atmos Ocean Tech 30(4):725−744. https://doi.org/10.1175/JTECH-D-12-00057.1

18.

Reverdy M, Chepfer H, Donovan D, Noël V, Cesana G, Hoareau C, Chiriaco M, Bastin S (2015) An EarthCARE/ATLID simulator to evaluate cloud description in climate models. J Geophys Res Atmos 120(21):11090–11113. https://doi.org/10.1002/2015JD023919CrossRef

19.

Cairns B (1995) Diurnal variations of cloud from ISCCP data. Atmos Res 37:133–146. https://doi.org/10.1016/0169-8095(94)00074-NCrossRef

20.

Rossow WB, Cairns B (1995) Monitoring changes of clouds. Clim Change 31:175–217. https://doi.org/10.1007/BF01095151CrossRef

21.

Noel V, Chepfer H, Chiriaco M, Yorks J (2018) The diurnal cycle of cloud profiles over land and ocean between 51° S and 51° N, seen by the CATS spaceborne Lidar from the international space station. Atmos Chem Phys 18:9457–9473. https://doi.org/10.5194/acp-18-9457-2018CrossRef

22.

Chepfer, H., Brogniez, H. and Noel, V. (2019). Diurnal variations of cloud and relative humidity profiles across the tropics. Sci Rep 9:16045. https://doi.org/10.1038/s41598-019-52437-6

23.

Feofilov AG, Stubenrauch CJ (2019) Diurnal variation of high-level clouds from the synergy of AIRS and IASI space-borne infrared sounders. Atmos Chem Phys 19:13957–13972. https://doi.org/10.5194/acp-19-13957-2019CrossRef

24.

Feofilov A, Stubenrauch C (2017) LMD cloud retrieval using IR sounders. Algorithm theoretical basis, CIRS-LMD software package V2, pp 19. https://doi.org/10.13140/RG.2.2.15812.63361

25.

Stubenrauch CJ, Feofilov AG, Protopapadaki E-S, Armante R (2017) Cloud climatologies from the InfraRed sounders AIRS and IASI: strengths and applications. Atmos Chem Phys 17:13625–13644. https://doi.org/10.5194/acp-17-13625-2017CrossRef

26.

McGill MJ, Yorks JE, Scott VS, Kupchock AW, Selmer PA (2015) The cloud-aerosol transport system (CATS): a technology demonstration on the international space station. Proc Spie 9612. https://doi.org/10.1117/12.2190841

27.

Stubenrauch CJ, 22 Coauthors (2013) Assessment of global cloud datasets from satellites: project and database initiated by the GEWEX radiation panel. Bull Am Meteorol Soc 94(7):1031–1049. https://doi.org/10.1175/BAMS-D-12-00117.1

Title: Towards Establishing a Long-Term Cloud Record from Space-Borne Lidar Observations
Authors: Artem Feofilov
Hélène Chepfer
Vincent Noël
Maryam Hajiaghazadeh-Roodsari
Publisher: Springer Nature Switzerland
Book: Space-based Lidar Remote Sensing Techniques and Emerging Technologies
Print ISBN: 978-3-031-53617-5

Electronic ISBN: 978-3-031-53618-2

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-53618-2_6

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Premium Partner