Articles | Volume 17, issue 15
https://doi.org/10.5194/acp-17-9599-2017
© 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/acp-17-9599-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Aug 2017
Research article |
| 09 Aug 2017
A ubiquitous ice size bias in simulations of tropical deep convection
McKenna W. Stanford
CORRESPONDING AUTHOR
Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah, 84112, USA
Adam Varble
Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah, 84112, USA
Ed Zipser
Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah, 84112, USA
J. Walter Strapp
Met Analytics, Inc., Aurora, Ontario, Canada
Delphine Leroy
Université Clermont Auvergne/CNRS, Laboratoire de Météorologie Physique, Clermont-Ferrand, France
Alfons Schwarzenboeck
Université Clermont Auvergne/CNRS, Laboratoire de Météorologie Physique, Clermont-Ferrand, France
Rodney Potts
Australian Bureau of Meteorology, Research and Development Branch, Melbourne, Victoria, Australia
Alain Protat
Australian Bureau of Meteorology, Research and Development Branch, Melbourne, Victoria, Australia
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- 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
- High ice water content in tropical mesoscale convective systems (a conceptual model) A. Korolev et al. 10.5194/acp-24-11849-2024
- Locally Enhanced Aerosols Over a Shipping Lane Produce Convective Invigoration but Weak Overall Indirect Effects in Cloud‐Resolving Simulations P. Blossey et al. 10.1029/2018GL078682
- Sensitivity of Simulated Deep Convection to a Stochastic Ice Microphysics Framework M. Stanford et al. 10.1029/2019MS001730
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26 citations as recorded by crossref.
- Dependence of Ice Microphysical Properties On Environmental Parameters: Results from HAIC-HIWC Cayenne Field Campaign Y. Hu et al. 10.1175/JAS-D-21-0015.1
- Climatology of the Vertical Profiles of Polarimetric Radar Variables and Retrieved Microphysical Parameters in Continental/Tropical MCSs and Landfalling Hurricanes J. Hu & A. Ryzhkov 10.1029/2021JD035498
- Using an Object-Based Approach to Quantify the Spatial Structure of Reflectivity Regions in Hurricane Isabel (2003). Part I: Comparisons between Radar Observations and Model Simulations C. Matyas et al. 10.1175/MWR-D-17-0077.1
- Structure and Evolution of Mesoscale Convective Systems: Sensitivity to Cloud Microphysics in Convection‐Permitting Simulations Over the United States Z. Feng et al. 10.1029/2018MS001305
- Effects of Under-Resolved Convective Dynamics on the Evolution of a Squall Line A. Varble et al. 10.1175/MWR-D-19-0187.1
- Columnar Vertical Profile (CVP) Methodology for Validating Polarimetric Radar Retrievals in Ice Using In Situ Aircraft Measurements A. Murphy et al. 10.1175/JTECH-D-20-0011.1
- Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: evaluation of simulations using bulk microphysical schemes Y. Huang et al. 10.5194/acp-21-6919-2021
- Understanding the Role of Sea Surface Temperature and Urbanization on Severe Thunderstorms Dynamics: A Case Study in Surabaya, Indonesia F. Sari et al. 10.1029/2023JD038817
- Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples G. Köcher et al. 10.5194/amt-15-1033-2022
- Detecting Clouds Associated with Jet Engine Ice Crystal Icing J. Haggerty et al. 10.1175/BAMS-D-17-0252.1
- Online Nonlinear Bias Correction in Ensemble Kalman Filter to Assimilate GOES‐R All‐Sky Radiances for the Analysis and Prediction of Rapidly Developing Supercells K. Chandramouli et al. 10.1029/2021MS002711
- Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties B. Han et al. 10.1029/2018JD029596
- The impacts of secondary ice production on microphysics and dynamics in tropical convection Z. Qu et al. 10.5194/acp-22-12287-2022
- Polarimetric Size Sorting Signatures in the Convective Regions of Mesoscale Convective Systems in PECAN: Implications on Kinematics, Thermodynamics, and Precipitation Pathways F. Tam et al. 10.1029/2021JD035822
- Ice cloud microphysical trends observed by the Atmospheric Infrared Sounder B. Kahn et al. 10.5194/acp-18-10715-2018
- Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: dominant role of secondary ice production Y. Huang et al. 10.5194/acp-22-2365-2022
- Biases in the Prediction of Convective Storm Characteristics with a Convection Allowing Ensemble J. Grim et al. 10.1175/WAF-D-21-0106.1
- Linking Ice‐Phase Microphysics to Raindrop Characteristics in Deep Convection: A Warm‐Sector Extreme Rainfall Case Study in Eastern China G. Chen et al. 10.1029/2022EA002697
- Growth of Mesoscale Convective Systems in Observations and a Seasonal Convection-Permitting Simulation over Argentina Z. Zhang et al. 10.1175/MWR-D-20-0411.1
- Quantifying Uncertainty in Ice Particle Velocity–Dimension Relationships Using MC3E Observations A. Dzambo et al. 10.1175/JAS-D-21-0322.1
- 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
- High ice water content in tropical mesoscale convective systems (a conceptual model) A. Korolev et al. 10.5194/acp-24-11849-2024
- Locally Enhanced Aerosols Over a Shipping Lane Produce Convective Invigoration but Weak Overall Indirect Effects in Cloud‐Resolving Simulations P. Blossey et al. 10.1029/2018GL078682
- Sensitivity of Simulated Deep Convection to a Stochastic Ice Microphysics Framework M. Stanford et al. 10.1029/2019MS001730
- Evaluation of a Stochastic Mixing Scheme in the Deep Convective Gray Zone Using a Tropical Oceanic Deep Convection Case Study M. Stanford et al. 10.1029/2023MS003748
Latest update: 20 Nov 2024
Short summary
Radar reflectivity is a valuable observational tool used to guide numerical weather model improvement. Biases in simulated reflectivity help identify potential errors in physical process and property representation in models. This study uniquely compares simulated and observed tropical convective systems to establish that a commonly documented high bias in radar reflectivity values at least partially results from the production of simulated ice particle sizes that are larger than observed.
Radar reflectivity is a valuable observational tool used to guide numerical weather model...
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