Articles | Volume 10, issue 8
https://doi.org/10.5194/amt-10-2785-2017
© Author(s) 2017. 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-10-2785-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Aug 2017
Research article |
| 04 Aug 2017
Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E
Kirk W. North
Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Québec, Canada
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Pavlos Kollias
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, USA
Scott E. Giangrande
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, USA
Scott M. Collis
Environmental Science Division, Argonne National Laboratory, Lemont, IL, USA
Corey K. Potvin
Cooperative Institute for Mesoscale Meteorological Studies, and School of Meteorology, University of Oklahoma, Norman, OK, USA
NOAA/OAR/National Severe Storms Laboratory, Norman, OK, USA
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23 citations as recorded by crossref.
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- Observational Study of the Thermodynamics and Morphological Characteristics of a Midlatitude Continental Cold Pool Event P. Borque et al. 10.1175/MWR-D-19-0068.1
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23 citations as recorded by crossref.
- Investigation of Liquid Cloud Microphysical Properties of Deep Convective Systems: 2. Parameterization of Raindrop Size Distribution and its Application for Convective Rain Estimation J. Wang et al. 10.1029/2018JD028727
- Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals M. Oue et al. 10.5194/amt-12-1999-2019
- Convective Updraft and Downdraft Characteristics of Continental Mesoscale Convective Systems in the Model Gray Zone D. Wang et al. 10.1029/2022JD036746
- A Geostationary Satellite-Based Approach to Estimate Convective Mass Flux and Revisit the Hot Tower Hypothesis A. Derras-Chouk & Z. Luo 10.1007/s10712-024-09856-6
- Optimizing radar scan strategies for tracking isolated deep convection using observing system simulation experiments M. Oue et al. 10.5194/amt-15-4931-2022
- Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat P. Kollias et al. 10.5194/amt-12-4949-2019
- Sensitivity Analysis on Data Time Difference for Wind Fields Synthesis of Array Weather Radar Y. Li et al. 10.2151/sola.2020-042
- Dependence of Vertical Alignment of Cloud and Precipitation Properties on Their Effective Fall Speeds M. Ovchinnikov et al. 10.1029/2018JD029346
- A Satellite‐Based Estimate of Convective Vertical Velocity and Convective Mass Flux: Global Survey and Comparison With Radar Wind Profiler Observations J. Jeyaratnam et al. 10.1029/2020GL090675
- Time-Delayed Tandem Microwave Observations of Tropical Deep Convection: Overview of the C2OMODO Mission H. Brogniez et al. 10.3389/frsen.2022.854735
- Observations of Anomalous Charge Structures in Supercell Thunderstorms in the Southeastern United States S. Stough & L. Carey 10.1029/2020JD033012
- Opinion: A critical evaluation of the evidence for aerosol invigoration of deep convection A. Varble et al. 10.5194/acp-23-13791-2023
- Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking A. Fridlind et al. 10.5194/amt-12-2979-2019
- Observational Study of the Thermodynamics and Morphological Characteristics of a Midlatitude Continental Cold Pool Event P. Borque et al. 10.1175/MWR-D-19-0068.1
- Recognition algorithm for deep convective clouds based on FY4A T. Li et al. 10.1007/s00521-022-07590-x
- Updraft and Downdraft Core Size and Intensity as Revealed by Radar Wind Profilers: MCS Observations and Idealized Model Comparisons D. Wang et al. 10.1029/2019JD031774
- A Sparse Denoising-Based Super-Resolution Method for Scanning Radar Imaging Q. Zhang et al. 10.3390/rs13142768
- A Multi-Platform In Situ Kinematic and Microphysical Analysis of a Hybrid Parallel–Trailing Stratiform Mesoscale Convective System A. Skow et al. 10.1175/MWR-D-21-0009.1
- Overview and Applications of the New York State Mesonet Profiler Network B. Shrestha et al. 10.1175/JAMC-D-21-0104.1
- The Characteristics of Tropical and Midlatitude Mesoscale Convective Systems as Revealed by Radar Wind Profilers D. Wang et al. 10.1029/2018JD030087
- Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties B. Han et al. 10.1029/2018JD029596
- The Cloud-resolving model Radar SIMulator (CR-SIM) Version 3.3: description and applications of a virtual observatory M. Oue et al. 10.5194/gmd-13-1975-2020
- High-resolution 3D winds derived from a modified WISSDOM synthesis scheme using multiple Doppler lidars and observations C. Tsai et al. 10.5194/amt-16-845-2023
Latest update: 14 Dec 2024
Short summary
Vertical air motion retrievals from 3DVAR multiple distributed scanning Doppler radars are compared against collocated profiling radars and retrieved from an upward iteration integration iterative technique to characterize their veracity. The retrieved vertical air motions are generally within 1–2 m s−1 of agreement with profiling radars and better solution than the upward integration technique, and therefore can be used as a means to improve parameterizations in numerical models moving forward.
Vertical air motion retrievals from 3DVAR multiple distributed scanning Doppler radars are...
