Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Zhengjian Lin
School of Atmospheric Physics, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Haiyang Gao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Shujun Liao
School of Atmospheric Physics, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Piman Ding
The First Research Department, Shanghai Institute of Satellite Engineering, Shanghai 201109, China
Viewed
Total article views: 1,701 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,312
334
55
1,701
38
40
HTML: 1,312
PDF: 334
XML: 55
Total: 1,701
BibTeX: 38
EndNote: 40
Views and downloads (calculated since 22 Sep 2022)
Cumulative views and downloads
(calculated since 22 Sep 2022)
Total article views: 1,284 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,026
224
34
1,284
33
33
HTML: 1,026
PDF: 224
XML: 34
Total: 1,284
BibTeX: 33
EndNote: 33
Views and downloads (calculated since 31 Mar 2023)
Cumulative views and downloads
(calculated since 31 Mar 2023)
Total article views: 417 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
286
110
21
417
5
7
HTML: 286
PDF: 110
XML: 21
Total: 417
BibTeX: 5
EndNote: 7
Views and downloads (calculated since 22 Sep 2022)
Cumulative views and downloads
(calculated since 22 Sep 2022)
Viewed (geographical distribution)
Total article views: 1,701 (including HTML, PDF, and XML)
Thereof 1,641 with geography defined
and 60 with unknown origin.
Total article views: 1,284 (including HTML, PDF, and XML)
Thereof 1,264 with geography defined
and 20 with unknown origin.
Total article views: 417 (including HTML, PDF, and XML)
Thereof 377 with geography defined
and 40 with unknown origin.
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.
Forward modeling of spaceborne millimeter-wave radar composed of eight submodules is presented....