Articles | Volume 14, issue 22
https://doi.org/10.5194/acp-14-12031-2014
https://doi.org/10.5194/acp-14-12031-2014
Research article
 | 
17 Nov 2014
Research article |  | 17 Nov 2014

Assimilation of lidar signals: application to aerosol forecasting in the western Mediterranean basin

Y. Wang, K. N. Sartelet, M. Bocquet, P. Chazette, M. Sicard, G. D'Amico, J. F. Léon, L. Alados-Arboledas, A. Amodeo, P. Augustin, J. Bach, L. Belegante, I. Binietoglou, X. Bush, A. Comerón, H. Delbarre, D. García-Vízcaino, J. L. Guerrero-Rascado, M. Hervo, M. Iarlori, P. Kokkalis, D. Lange, F. Molero, N. Montoux, A. Muñoz, C. Muñoz, D. Nicolae, A. Papayannis, G. Pappalardo, J. Preissler, V. Rizi, F. Rocadenbosch, K. Sellegri, F. Wagner, and F. Dulac

Related authors

An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)
Yiguo Wang, François Counillon, Lea Svendsen, Ping-Gin Chiu, Noel Keenlyside, Patrick Laloyaux, Mariko Koseki, and Eric de Boisseson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-127,https://doi.org/10.5194/essd-2025-127, 2025
Revised manuscript accepted for ESSD
Short summary
Improving Seasonal Arctic Sea Ice Predictions with the Combination of Machine Learning and Earth System Model
Zikang He, Yiguo Wang, Julien Brajard, Xidong Wang, and Zheqi Shen
EGUsphere, https://doi.org/10.5194/egusphere-2024-4092,https://doi.org/10.5194/egusphere-2024-4092, 2025
Short summary
Improving dynamical climate predictions with machine learning: insights from a twin experiment framework
Zikang He, Julien Brajard, Yiguo Wang, Xidong Wang, and Zheqi Shen
EGUsphere, https://doi.org/10.5194/egusphere-2025-212,https://doi.org/10.5194/egusphere-2025-212, 2025
Short summary
Enhancing sea ice knowledge through assimilation of sea ice thickness from ENVISAT and CS2SMOS
Nicholas Williams, Yiguo Wang, and François Counillon
EGUsphere, https://doi.org/10.5194/egusphere-2025-104,https://doi.org/10.5194/egusphere-2025-104, 2025
Short summary
NorCPM1 and its contribution to CMIP6 DCPP
Ingo Bethke, Yiguo Wang, François Counillon, Noel Keenlyside, Madlen Kimmritz, Filippa Fransner, Annette Samuelsen, Helene Langehaug, Lea Svendsen, Ping-Gin Chiu, Leilane Passos, Mats Bentsen, Chuncheng Guo, Alok Gupta, Jerry Tjiputra, Alf Kirkevåg, Dirk Olivié, Øyvind Seland, Julie Solsvik Vågane, Yuanchao Fan, and Tor Eldevik
Geosci. Model Dev., 14, 7073–7116, https://doi.org/10.5194/gmd-14-7073-2021,https://doi.org/10.5194/gmd-14-7073-2021, 2021
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations
Ross J. Herbert, Andrew I. L. Williams, Philipp Weiss, Duncan Watson-Parris, Elisabeth Dingley, Daniel Klocke, and Philip Stier
Atmos. Chem. Phys., 25, 7789–7814, https://doi.org/10.5194/acp-25-7789-2025,https://doi.org/10.5194/acp-25-7789-2025, 2025
Short summary
A novel method to quantify the uncertainty contribution of aerosol–radiation interaction factors
Bishuo He and Chunsheng Zhao
Atmos. Chem. Phys., 25, 7765–7776, https://doi.org/10.5194/acp-25-7765-2025,https://doi.org/10.5194/acp-25-7765-2025, 2025
Short summary
Exploring the aerosol activation properties in coastal shallow convection using cloud- and particle-resolving models
Ge Yu, Yueya Wang, Zhe Wang, and Xiaoming Shi
Atmos. Chem. Phys., 25, 7527–7542, https://doi.org/10.5194/acp-25-7527-2025,https://doi.org/10.5194/acp-25-7527-2025, 2025
Short summary
Machine-learning-assisted inference of the particle charge fraction and the ion-induced nucleation rates during new particle formation events
Pan Wang, Yue Zhao, Jiandong Wang, Veli-Matti Kerminen, Jingkun Jiang, and Chenxi Li
Atmos. Chem. Phys., 25, 7431–7446, https://doi.org/10.5194/acp-25-7431-2025,https://doi.org/10.5194/acp-25-7431-2025, 2025
Short summary
Modeling CMAQ dry deposition treatment over the western Pacific: a distinct characteristic of mineral dust and anthropogenic aerosols
Steven Soon-Kai Kong, Joshua S. Fu, Neng-Huei Lin, Guey-Rong Sheu, and Wei-Syun Huang
Atmos. Chem. Phys., 25, 7245–7268, https://doi.org/10.5194/acp-25-7245-2025,https://doi.org/10.5194/acp-25-7245-2025, 2025
Short summary

Cited articles

Adhikary, B., Kulkarni, S., Dallura, A., Tang, Y., Chai, T., Leung, L. R., Qian, Y., Chung, C. E., Ramanathan, V., and Carmichael, G. R.: A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique, Atmos. Environ., 42, 8600–8615, 2008.
Ansmann, A., Wandinger, U., Riebesell, M., Weitkamp, C., and Michaelis, W.: Independent measurement of extinction and backscatter profiles in cirrus clouds by using a combined Raman elastic-backscatter lidar, Appl. Optics, 31, 7113–7131, https://doi.org/10.1364/AO.31.007113, 1992.
Austin, J.: Toward the four dimensional assimilation of stratospheric chemical constituents, J. Geophys. Res., 97, 2569–2588, https://doi.org/10.1029/91JD02603, 1992.
Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296, https://doi.org/10.5194/acp-8-7281-2008, 2008.
Balgovind, R., Dalcher, A., Ghil, M., and Kalnay, E.: A stochastic-dynamic model for the spatial structure of forecast error statistics, Mon. Weather Rev., 111, 701–722, 1983.
Download
Share
Altmetrics
Final-revised paper
Preprint