Speaker
Description
The launch of the C³IEL (Cluster for Cloud evolution, ClImatE and Lightning) mission, dedicated to convective clouds, is scheduled for 2027 (Rosenfeld et al., 2022). This mission consists in a train of two nano-satellites, which will acquire, at a high spatial and temporal resolution, 4 sequences per day orbit of 11 observations every 20s of 2 simultaneous images. Among the various imagers, some are dedicated to the retrieval of the atmospheric water vapor content above and around convective clouds, at a horizontal resolution of about 150 meters, using radiances in three Short-Wave InfraRed (SWIR) channels, centered in a non-water vapor-absorbing band (1.04µm), a moderately water vapor-absorbing band (1.13µm) and a strongly water vapor-absorbing band (1.37µm).
In this context, an algorithm is currently being developed to obtain the integrated water vapor content above clouds or above continental land using an optimal estimation method.
The retrieval of water vapour content above clouds takes advantage of the knowledge of cloud top altitude, stereo-retrieved from the CLOUD part of the mission (Dandini et al., 2022). In this first version, a plane-parallel atmosphere and cloud for each pixel are assumed in the model used in the algorithm. The algorithm is evaluated using realistic profiles from the ECMWF-IFS database and shows good agreement between target and retrieved values with an RMSE of few kg/m2.
The presentation will introduce the C3IEL mission, the principle of the algorithm currently under development, and discuss the first results and their current limitations.
References :
Rosenfeld, D., Cornet, C., Aviad, S., Binet, R., Crebassol, P., Dandini, P, Defer E. Deschamps A., Fenouil L. Frid A., Holodovky V. Kaidar A., Peroni R., Pierangelo C., Price C., Ricard D., Schechner Y. and Yair, Y. (2022). C3IEL: Cluster for Cloud Evolution, ClImatE and Lightning. arXiv preprint arXiv:2202.03182. (https://arxiv.org/abs/2202.03182)
Dandini, P., Cornet, C., Binet, R., Fenouil, L., Holodovsky, V., Y. Schechner, Y., Ricard, D. & Rosenfeld, D. (2022). 3D cloud envelope and cloud development velocity from simulated CLOUD (C3IEL) stereo images. Atmos. Meas. Tech., 15(20), 6221-6242. https://doi.org/10.5194/amt-15-6221-2022
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