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Lidar observations within the ARISE European network

Philippe Keckhut 1 Alain Hauchecorne 1 Elisabeth Blanc 2 Alexis Le Pichon 2 Sergey Khaykin 1 Beatriz M. Funatsu 3 Chantal Claud 4 Nahoudha Mzé 1 Guillaume Angot 1 
LATMOS - Laboratoire Atmosphères, Milieux, Observations Spatiales
2 LDG - Laboratoire de Détection et de Géophysique (CEA)
DAM/DIF - DAM Île-de-France : DAM/DIF
3 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554
Abstract : A better understanding of climate change includes a better description of the variability at different altitudes, the vertical coupling between layers as well as the multi-scale interactions of the atmospheric processes. In response to these challenges numerical models including weather forecasts and operational analyses, are improved in both resolutions and vertical altitude range and new observations are expecting. Wind and temperature lidars provide useful information with an increased plus-value when they are combined with complementary information within a worldwide network. The proposed European infrastructure called the Atmospheric Dynamics Research Infrastructure in Europe (ARISE) start to deploy, in several stations (from polar to equatorial and tropical regions in the European longitude sector and adjacent regions), ground-based Lidar observations, microwave and OH radiometers and infrasound measurements in operation within the CTBT network (Comprehensive nuclear-Test-Ban Treaty). Such new data allow investigation on decadal trends, planetary waves, tides and gravity waves that can be used to validate or improve numerical models.
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Submitted on : Wednesday, April 13, 2016 - 3:28:50 PM
Last modification on : Friday, October 14, 2022 - 3:55:07 AM


  • HAL Id : insu-01302128, version 1


Philippe Keckhut, Alain Hauchecorne, Elisabeth Blanc, Alexis Le Pichon, Sergey Khaykin, et al.. Lidar observations within the ARISE European network . 10th SPIE Asia-Pacific Remote Sensing Symposium, Apr 2016, New Delhi, India. ⟨insu-01302128⟩



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