Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 16
Articles | Volume 15, issue 16
https://doi.org/10.5194/amt-15-4931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-4931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 16
Research article
 | 
30 Aug 2022
Research article |  | 30 Aug 2022

Optimizing radar scan strategies for tracking isolated deep convection using observing system simulation experiments

Mariko Oue, Stephen M. Saleeby, Peter J. Marinescu, Pavlos Kollias, and Susan C. van den Heever

Data sets

Radar simulator output used for tracking isolated convections M. Oue https://commons.library.stonybrook.edu/somasdata/16

Tobac v1.2: Tracking and Object-Based Analysis of Clouds M. Heikenfeld, W. K. Jones, F. Senf, and P. J. Marinescu https://github.com/climate-processes/tobac

Model code and software

The Cloud Resolving Model Radar Simulator (CR-SIM) Version 3.3 M. Oue, A. Tatarevic, P. Kollias, D. Wang, and K.-M. Yu https://commons.library.stonybrook.edu/somasdata/4/

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Short summary
This study provides an optimization of radar observation strategies to better capture convective cell evolution in clean and polluted environments as well as a technique for the optimization. The suggested optimized radar observation strategy is to better capture updrafts at middle and upper altitudes and precipitation particle evolution of isolated deep convective clouds. This study sheds light on the challenge of designing remote sensing observation strategies in pre-field campaign periods.
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