Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-12633-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-12633-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Nov 2020
Research article |
| 03 Nov 2020
| 03 Nov 2020
Linkage among ice crystal microphysics, mesoscale dynamics, and cloud and precipitation structures revealed by collocated microwave radiometer and multifrequency radar observations
Universities Space Research Association, Columbia, MD 21046, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Xiping Zeng
Army Research Laboratory, Adelphi, MD 20783, USA
Dong L. Wu
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
S. Joseph Munchak
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Xiaowen Li
Morgan State University, Baltimore, MD 21251, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Stefan Kneifel
Institution for Geophysics and Meteorology, University of Cologne, 50923 Cologne, Germany
Davide Ori
Institution for Geophysics and Meteorology, University of Cologne, 50923 Cologne, Germany
Liang Liao
Morgan State University, Baltimore, MD 21251, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Donifan Barahona
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Cited
14 citations as recorded by crossref.
- Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations X. Zeng et al. 10.1029/2020JD033923
- A Parameterization of the Cloud Scattering Polarization Signal Derived From GPM Observations for Microwave Fast Radative Transfer Models V. Galligani et al. 10.1109/TGRS.2021.3049921
- On the global relationship between polarimetric radio occultation differential phase shift and ice water content R. Padullés et al. 10.5194/acp-23-2199-2023
- Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset F. Turk et al. 10.3390/rs13122264
- Implementation of Prognostic Cloud Ice Number Concentrations for the Weather Research and Forecasting (WRF) Double‐Moment 6‐Class (WDM6) Microphysics Scheme S. Park & K. Lim 10.1029/2022MS003009
- A mixing scheme of ice particle models for global ice cloud measurements B. Wu et al. 10.1016/j.rse.2024.114356
- Sensing Horizontally Oriented Frozen Particles With Polarimetric Radio Occultations Aboard PAZ: Validation Using GMI Coincident Observations and Cloudsat a Priori Information R. Padulles et al. 10.1109/TGRS.2021.3065119
- The Characteristics of Precipitation with and without Bright Band in Summer Tibetan Plateau and Central-Eastern China L. Yang et al. 10.3390/rs16193703
- Introducing hydrometeor orientation into all-sky microwave and submillimeter assimilation V. Barlakas et al. 10.5194/amt-14-3427-2021
- Distinct structure, radiative effects, and precipitation characteristics of deep convection systems in the Tibetan Plateau compared to the tropical Indian Ocean Y. Zhao et al. 10.5194/acp-24-9435-2024
- Contrasting characteristics of continental and oceanic deep convective systems at different life stages from CloudSat observations J. Ge et al. 10.1016/j.atmosres.2023.107157
- Interpretation of the Precipitation Structure Contained in Polarimetric Radio Occultation Profiles Using Passive Microwave Satellite Observations F. Turk et al. 10.1175/JTECH-D-21-0044.1
- A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements S. Das et al. 10.3390/rs14153631
- Retrieval of ice water path from the Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite polarimetric measurements based on a deep neural network W. Wang et al. 10.5194/amt-15-6489-2022
14 citations as recorded by crossref.
- Modeling the Radiative Effect on Microphysics in Cirrus Clouds Against Satellite Observations X. Zeng et al. 10.1029/2020JD033923
- A Parameterization of the Cloud Scattering Polarization Signal Derived From GPM Observations for Microwave Fast Radative Transfer Models V. Galligani et al. 10.1109/TGRS.2021.3049921
- On the global relationship between polarimetric radio occultation differential phase shift and ice water content R. Padullés et al. 10.5194/acp-23-2199-2023
- Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset F. Turk et al. 10.3390/rs13122264
- Implementation of Prognostic Cloud Ice Number Concentrations for the Weather Research and Forecasting (WRF) Double‐Moment 6‐Class (WDM6) Microphysics Scheme S. Park & K. Lim 10.1029/2022MS003009
- A mixing scheme of ice particle models for global ice cloud measurements B. Wu et al. 10.1016/j.rse.2024.114356
- Sensing Horizontally Oriented Frozen Particles With Polarimetric Radio Occultations Aboard PAZ: Validation Using GMI Coincident Observations and Cloudsat a Priori Information R. Padulles et al. 10.1109/TGRS.2021.3065119
- The Characteristics of Precipitation with and without Bright Band in Summer Tibetan Plateau and Central-Eastern China L. Yang et al. 10.3390/rs16193703
- Introducing hydrometeor orientation into all-sky microwave and submillimeter assimilation V. Barlakas et al. 10.5194/amt-14-3427-2021
- Distinct structure, radiative effects, and precipitation characteristics of deep convection systems in the Tibetan Plateau compared to the tropical Indian Ocean Y. Zhao et al. 10.5194/acp-24-9435-2024
- Contrasting characteristics of continental and oceanic deep convective systems at different life stages from CloudSat observations J. Ge et al. 10.1016/j.atmosres.2023.107157
- Interpretation of the Precipitation Structure Contained in Polarimetric Radio Occultation Profiles Using Passive Microwave Satellite Observations F. Turk et al. 10.1175/JTECH-D-21-0044.1
- A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements S. Das et al. 10.3390/rs14153631
- Retrieval of ice water path from the Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite polarimetric measurements based on a deep neural network W. Wang et al. 10.5194/amt-15-6489-2022
Latest update: 23 Nov 2024
Short summary
This work provides a novel way of using polarized passive microwave measurements to study the interlinked cloud–convection–precipitation processes. The magnitude of differences between polarized radiances is found linked to ice microphysics (shape, size, orientation and density), mesoscale dynamic and thermodynamic structures, and surface precipitation. We conclude that passive sensors with multiple polarized channel pairs may serve as cheaper and useful substitutes for spaceborne radar sensors.
This work provides a novel way of using polarized passive microwave measurements to study the...
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