Articles | Volume 13, issue 5
https://doi.org/10.5194/amt-13-2363-2020
© 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/amt-13-2363-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 May 2020
Research article |
| 14 May 2020
| 14 May 2020
Mind the gap – Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars
Department of Earth and Atmospheric Sciences, City College of the City University of New York, New York, NY, USA
now at: Department of Environmental and Climate Sciences, Brookhaven National Laboratory, Stony Brook, NY, USA
Pavlos Kollias
Department of Environmental and Climate Sciences, Brookhaven National Laboratory, Stony Brook, NY, USA
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Institute of Geophysics and Meteorology, University of Cologne, Cologne, Germany
Alessandro Battaglia
Department of Physics and Astronomy, University of Leicester, Leicester, UK
DIATI, Politecnico di Torino, Torino, Italy
Simon Preval
Department of Physics and Astronomy, University of Leicester, Leicester, UK
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Cited
15 citations as recorded by crossref.
- The prevalence of precipitation from polar supercooled clouds I. Silber et al. 10.5194/acp-21-3949-2021
- Processing reflectivity and Doppler velocity from EarthCARE's cloud-profiling radar: the C-FMR, C-CD and C-APC products P. Kollias et al. 10.5194/amt-16-1901-2023
- EUREC<sup>4</sup>A's <i>Maria S. Merian</i> ship-based cloud and micro rain radar observations of clouds and precipitation C. Acquistapace et al. 10.5194/essd-14-33-2022
- Cloud Radar Observations of Diurnal and Seasonal Cloudiness over Reunion Island J. Durand et al. 10.3390/atmos12070868
- Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island M. Stanford et al. 10.5194/acp-23-9037-2023
- What CloudSat cannot see: liquid water content profiles inferred from MODIS and CALIOP observations R. Schulte et al. 10.5194/amt-16-3531-2023
- Assessing Arctic low-level clouds and precipitation from above – a radar perspective I. Schirmacher et al. 10.5194/amt-16-4081-2023
- What Can We Learn from the CloudSat Radiometric Mode Observations of Snowfall over the Ice-Free Ocean? A. Battaglia & G. Panegrossi 10.3390/rs12203285
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- A-Train estimates of the sensitivity of the cloud-to-rainwater ratio to cloud size, relative humidity, and aerosols K. Smalley & A. Rapp 10.5194/acp-21-2765-2021
- Mind the gap – Part 2: Improving quantitative estimates of cloud and rain water path in oceanic warm rain using spaceborne radars A. Battaglia et al. 10.5194/amt-13-4865-2020
- Vertical Structure of Tropical Deep Convective Systems at Different Life Stages From CloudSat Observations X. Hu et al. 10.1029/2021JD035115
- Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. 10.1029/2023JD038581
- Mind the Gap - Part 3: Doppler Velocity Measurements From Space P. Kollias et al. 10.3389/frsen.2022.860284
- A random forest algorithm for the prediction of cloud liquid water content from combined CloudSat–CALIPSO observations R. Schulte et al. 10.5194/amt-17-3583-2024
15 citations as recorded by crossref.
- The prevalence of precipitation from polar supercooled clouds I. Silber et al. 10.5194/acp-21-3949-2021
- Processing reflectivity and Doppler velocity from EarthCARE's cloud-profiling radar: the C-FMR, C-CD and C-APC products P. Kollias et al. 10.5194/amt-16-1901-2023
- EUREC<sup>4</sup>A's <i>Maria S. Merian</i> ship-based cloud and micro rain radar observations of clouds and precipitation C. Acquistapace et al. 10.5194/essd-14-33-2022
- Cloud Radar Observations of Diurnal and Seasonal Cloudiness over Reunion Island J. Durand et al. 10.3390/atmos12070868
- Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island M. Stanford et al. 10.5194/acp-23-9037-2023
- What CloudSat cannot see: liquid water content profiles inferred from MODIS and CALIOP observations R. Schulte et al. 10.5194/amt-16-3531-2023
- Assessing Arctic low-level clouds and precipitation from above – a radar perspective I. Schirmacher et al. 10.5194/amt-16-4081-2023
- What Can We Learn from the CloudSat Radiometric Mode Observations of Snowfall over the Ice-Free Ocean? A. Battaglia & G. Panegrossi 10.3390/rs12203285
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- A-Train estimates of the sensitivity of the cloud-to-rainwater ratio to cloud size, relative humidity, and aerosols K. Smalley & A. Rapp 10.5194/acp-21-2765-2021
- Mind the gap – Part 2: Improving quantitative estimates of cloud and rain water path in oceanic warm rain using spaceborne radars A. Battaglia et al. 10.5194/amt-13-4865-2020
- Vertical Structure of Tropical Deep Convective Systems at Different Life Stages From CloudSat Observations X. Hu et al. 10.1029/2021JD035115
- Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. 10.1029/2023JD038581
- Mind the Gap - Part 3: Doppler Velocity Measurements From Space P. Kollias et al. 10.3389/frsen.2022.860284
- A random forest algorithm for the prediction of cloud liquid water content from combined CloudSat–CALIPSO observations R. Schulte et al. 10.5194/amt-17-3583-2024
Latest update: 20 Nov 2024
Short summary
According to ground-based radar observations, 50 % of liquid low-level clouds over the Atlantic extend below 1.2 km and are thinner than 400 m, thus limiting their detection from space. Using an emulator, we estimate that a 250 m resolution radar would capture cloud base better than the CloudSat radar which misses about 52 %. The more sensitive EarthCARE radar is expected to capture cloud cover but stretch cloud. This calls for the operation of interlaced pulse modes for future space missions.
According to ground-based radar observations, 50 % of liquid low-level clouds over the Atlantic...
