An optimal estimation algorithm for the retrieval of fog and  low cloud thermodynamic and micro-physical properties

Bell, Alistair; Martinet, Pauline; Caumont, Olivier; Burnet, Frédéric; Delanoë, Julien; Jorquera, Susana; Seity, Yann; Unger, Vinciane

doi:https://doi.org/10.5194/amt-15-5415-2022

Articles | Volume 15, issue 18

https://doi.org/10.5194/amt-15-5415-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Profiling the atmospheric boundary layer at a European scale...

https://doi.org/10.5194/amt-15-5415-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 18

Research article

|

26 Sep 2022

Research article |

| 26 Sep 2022

An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties

Alistair Bell, Pauline Martinet, Olivier Caumont, Frédéric Burnet, Julien Delanoë, Susana Jorquera, Yann Seity, and Vinciane Unger

Data sets

SOFOG3D_BASTA-CHAMP_LATMOS_BASTA-vertical_L2a J. Delanoë https://doi.org/10.25326/133

SOFOG3D_CHARBONNIERE_CNRM_VISI-TEMPS-PRESENT-3M-15SEC_L1 F. Burnet https://doi.org/10.25326/110

SOFOG3D_NOAILLAN_CNRM_CEILOMETER-CL31-30SEC_L1 F. Burnet https://doi.org/10.25326/240

SOFOG3D_CHARBONNIERE_CNRM_Vaisala-RS_L2 F. Burnet https://doi.org/10.25326/106

SOFOG3D_CHARBONNIERE_CNRM_MWR-HATPRO-TB_L1 P. Martinet https://doi.org/10.25326/148

Short summary

Cloud radars and microwave radiometers offer the potential to improve fog forecasts when assimilated into a high-resolution model. As this process can be complex, a retrieval of model variables is sometimes made as a first step. In this work, results from a 1D-Var algorithm for the retrieval of temperature, humidity and cloud liquid water content are presented. The algorithm is applied first to a synthetic dataset and then to a dataset of real measurements from a recent field campaign.