Simulation and sensitivity analysis for cloud and precipitation measurements via spaceborne millimeter-wave radar

Kou, Leilei; Lin, Zhengjian; Gao, Haiyang; Liao, Shujun; Ding, Piman

doi:https://doi.org/10.5194/amt-16-1723-2023

Articles | Volume 16, issue 6

https://doi.org/10.5194/amt-16-1723-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-1723-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 6

Research article

|

31 Mar 2023

Research article |

| 31 Mar 2023

Simulation and sensitivity analysis for cloud and precipitation measurements via spaceborne millimeter-wave radar

Leilei Kou, Zhengjian Lin, Haiyang Gao, Shujun Liao, and Piman Ding

Data sets

NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://doi.org/10.5065/D6M043C6

Level 2 GEOPROF product process description and interface control document version P1_R05 R. Marchand and G. Mace https://www.cloudsat.cira.colostate.edu/data-products/2b-geoprof

Short summary

Forward modeling of spaceborne millimeter-wave radar composed of eight submodules is presented. We quantify the uncertainties in radar reflectivity that may be caused by the physical model parameters via a sensitivity analysis. The simulations with improved and conventional settings are compared with CloudSat data, and the simulation results are evaluated and analyzed. The results are instructive to the optimization of forward modeling and microphysical parameter retrieval.