Articles | Volume 8, issue 9
https://doi.org/10.5194/amt-8-3685-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-3685-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Sep 2015
Research article |
| 14 Sep 2015
Automated rain rate estimates using the Ka-band ARM zenith radar (KAZR)
Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, Florida, USA
Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, Florida, USA
P. Kollias
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Canada
S. Matrosov
Cooperative Institute for Research in Environmental Sciences, University of Colorado and NOAA/Earth System Research Laboratory, Boulder, Colorado, USA
W. Szyrmer
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Canada
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Cited
16 citations as recorded by crossref.
- A case study on bright band transition from very light to heavy rain using simultaneous observations of collocated X- and Ka-band radars H. Devisetty et al. 10.1007/s12040-019-1171-0
- Peak Rain Rate Sensitivity to Observed Cloud Condensation Nuclei and Turbulence in Continental Warm Shallow Clouds During CACTI P. Borque et al. 10.1029/2022JD036864
- A Cloud Detection Method for Vertically Pointing Millimeter-Wavelength Cloud Radar H. Lin et al. 10.3390/s23218891
- A variational technique to estimate snowfall rate from coincident radar, snowflake, and fall-speed observations S. Cooper et al. 10.5194/amt-10-2557-2017
- Estimation of the liquid water content and Z–LWC relationship using Ka‐band cloud radar and a microwave radiometer S. Oh et al. 10.1002/met.1710
- Estimation of Rain Rate from Airborne Doppler W-Band Radar in CalWater-2 C. Fairall et al. 10.1175/JTECH-D-17-0025.1
- Rain retrieval from dual‐frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case‐study F. Tridon et al. 10.1002/qj.3010
- Range–Doppler Analysis for Rain Detection at Ka-Band: Numerical and Experimental Results From Laboratory and Field Measurements A. Zadeh et al. 10.1109/JSTARS.2020.2975281
- A comparison of cloud layers from ground and satellite active remote sensing at the Southern Great Plains ARM site J. Zhang et al. 10.1007/s00376-016-6030-1
- Clarifying remotely-retrieved precipitation of shallow marine clouds from the NSF/NCAR Gulfstream V M. Sarkar et al. 10.1175/JTECH-D-20-0166.1
- Rain‐rate estimation algorithm using signal attenuation of Ka‐band cloud radar S. Oh et al. 10.1002/met.1825
- A case study on large-scale dynamical influence on bright band using cloud radar during the Indian summer monsoon A. Jha et al. 10.1007/s00703-018-0583-8
- Moisture Distributions in Tropical Cold Pools From Equatorial Indian Ocean Observations and Cloud‐Resolving Simulations A. Chandra et al. 10.1029/2018JD028634
- A robust low-level cloud and clutter discrimination method for ground-based millimeter-wavelength cloud radar X. Hu et al. 10.5194/amt-14-1743-2021
- A 94 GHz Pulse Doppler Solid-State Millimeter-Wave Cloud Radar H. Lin et al. 10.3390/rs15123098
- Precipitation Type Classification of Micro Rain Radar Data Using an Improved Doppler Spectral Processing Methodology A. Garcia-Benadi et al. 10.3390/rs12244113
15 citations as recorded by crossref.
- A case study on bright band transition from very light to heavy rain using simultaneous observations of collocated X- and Ka-band radars H. Devisetty et al. 10.1007/s12040-019-1171-0
- Peak Rain Rate Sensitivity to Observed Cloud Condensation Nuclei and Turbulence in Continental Warm Shallow Clouds During CACTI P. Borque et al. 10.1029/2022JD036864
- A Cloud Detection Method for Vertically Pointing Millimeter-Wavelength Cloud Radar H. Lin et al. 10.3390/s23218891
- A variational technique to estimate snowfall rate from coincident radar, snowflake, and fall-speed observations S. Cooper et al. 10.5194/amt-10-2557-2017
- Estimation of the liquid water content and Z–LWC relationship using Ka‐band cloud radar and a microwave radiometer S. Oh et al. 10.1002/met.1710
- Estimation of Rain Rate from Airborne Doppler W-Band Radar in CalWater-2 C. Fairall et al. 10.1175/JTECH-D-17-0025.1
- Rain retrieval from dual‐frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case‐study F. Tridon et al. 10.1002/qj.3010
- Range–Doppler Analysis for Rain Detection at Ka-Band: Numerical and Experimental Results From Laboratory and Field Measurements A. Zadeh et al. 10.1109/JSTARS.2020.2975281
- A comparison of cloud layers from ground and satellite active remote sensing at the Southern Great Plains ARM site J. Zhang et al. 10.1007/s00376-016-6030-1
- Clarifying remotely-retrieved precipitation of shallow marine clouds from the NSF/NCAR Gulfstream V M. Sarkar et al. 10.1175/JTECH-D-20-0166.1
- Rain‐rate estimation algorithm using signal attenuation of Ka‐band cloud radar S. Oh et al. 10.1002/met.1825
- A case study on large-scale dynamical influence on bright band using cloud radar during the Indian summer monsoon A. Jha et al. 10.1007/s00703-018-0583-8
- Moisture Distributions in Tropical Cold Pools From Equatorial Indian Ocean Observations and Cloud‐Resolving Simulations A. Chandra et al. 10.1029/2018JD028634
- A robust low-level cloud and clutter discrimination method for ground-based millimeter-wavelength cloud radar X. Hu et al. 10.5194/amt-14-1743-2021
- A 94 GHz Pulse Doppler Solid-State Millimeter-Wave Cloud Radar H. Lin et al. 10.3390/rs15123098
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Latest update: 21 Nov 2024
Short summary
An automated algorithm is developed for routinely retrieving rain rates from the profiling Ka-Band zenith radars. The algorithm is implemented in two steps: higher rain rates are retrieved by using the amount of attenuation in rain layers, while low rain rates are retrieved from the reflectivity-rain rate (Ze-R) relation. Observations collected by rain gauge, disdrometer and scanning precipitation radars during the DYNAMO field campaign at Gan Island are used to validate the proposed approach.
An automated algorithm is developed for routinely retrieving rain rates from the profiling...
