Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-2979-2019
© Author(s) 2019. 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-12-2979-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jun 2019
Research article |
| 03 Jun 2019
| 03 Jun 2019
Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking
NASA Goddard Institute for Space Studies, New York, NY, USA
Marcus van Lier-Walqui
NASA Goddard Institute for Space Studies, New York, NY, USA
Center for Climate Systems Research, Columbia University, New York, NY, USA
Scott Collis
DOE Argonne National Laboratory, Argonne, IL, USA
Scott E. Giangrande
DOE Brookhaven National Laboratory, Upton, NY, USA
Robert C. Jackson
DOE Argonne National Laboratory, Argonne, IL, USA
Xiaowen Li
Goddard Earth Science and Technology and Research, Morgan State University, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD,
USA
Toshihisa Matsui
NASA Goddard Space Flight Center, Greenbelt, MD,
USA
Earth System Science Interdisciplinary Center, University of
Maryland, College Park, MD, USA
Richard Orville
Department of Atmospheric Sciences, Texas A&M University, College
Station, TX, USA
Mark H. Picel
DOE Brookhaven National Laboratory, Upton, NY, USA
Daniel Rosenfeld
The Fredy & Nadine Hermann Institute of Earth Studies, The Hebrew
University of Jerusalem, Jerusalem, Israel
Alexander Ryzhkov
Cooperative Institute for Mesoscale Meteorological Studies,
National Weather Center, Norman, OK, USA
Richard Weitz
Department of Atmospheric Sciences, Texas A&M University, College
Station, TX, USA
Pengfei Zhang
Cooperative Institute for Mesoscale Meteorological Studies,
National Weather Center, Norman, OK, USA
NOAA/OAR National Severe
Storms Laboratory, Norman, OK, USA
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Cited
16 citations as recorded by crossref.
- Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. 10.1175/JAS-D-20-0200.1
- 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
- Exploring the use of 3D radar measurements in predicting the evolution of single-core convective cells Y. Cheng et al. 10.1016/j.atmosres.2024.107380
- Linear Rainfall Features and Their Association with Rainfall Extremes near Melbourne, Australia S. Hitchcock et al. 10.1175/MWR-D-21-0007.1
- Seasonal controls on isolated convective storm drafts, precipitation intensity, and life cycle as observed during GoAmazon2014/5 S. Giangrande et al. 10.5194/acp-23-5297-2023
- Object-based analysis of simulated thunderstorms in Switzerland: application and validation of automated thunderstorm tracking with simulation data T. Raupach et al. 10.5194/gmd-14-6495-2021
- Linking Synoptic Patterns to Cloud Properties and Local Circulations Over Southeastern Texas D. Wang et al. 10.1029/2021JD035920
- High‐resolution simulations of tropical island thunderstorms: Does an increase in resolution improve the representation of extreme rainfall? M. Bergemann et al. 10.1002/qj.4360
- Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology K. Tuftedal et al. 10.5194/acp-24-5637-2024
- Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes S. Trömel et al. 10.5194/acp-21-17291-2021
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- A Climatology of Snow Squalls in Southern New England 1994–2018 F. Colby et al. 10.1175/MWR-D-21-0082.1
- An Analysis of the Performance of the Houston Lightning Mapping Array During an Intense Period of Convection During Tropical Storm Harvey T. Logan 10.1029/2020JD033270
- Updraft dynamics and microphysics: on the added value of the cumulus thermal reference frame in simulations of aerosol–deep convection interactions D. Hernandez-Deckers et al. 10.5194/acp-22-711-2022
- Optimizing radar scan strategies for tracking isolated deep convection using observing system simulation experiments M. Oue et al. 10.5194/amt-15-4931-2022
- Spatio-Temporal Analysis of Intense Convective Storms Tracks in a Densely Urbanized Italian Basin M. Sangiorgio & S. Barindelli 10.3390/ijgi9030183
16 citations as recorded by crossref.
- Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. 10.1175/JAS-D-20-0200.1
- 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
- Exploring the use of 3D radar measurements in predicting the evolution of single-core convective cells Y. Cheng et al. 10.1016/j.atmosres.2024.107380
- Linear Rainfall Features and Their Association with Rainfall Extremes near Melbourne, Australia S. Hitchcock et al. 10.1175/MWR-D-21-0007.1
- Seasonal controls on isolated convective storm drafts, precipitation intensity, and life cycle as observed during GoAmazon2014/5 S. Giangrande et al. 10.5194/acp-23-5297-2023
- Object-based analysis of simulated thunderstorms in Switzerland: application and validation of automated thunderstorm tracking with simulation data T. Raupach et al. 10.5194/gmd-14-6495-2021
- Linking Synoptic Patterns to Cloud Properties and Local Circulations Over Southeastern Texas D. Wang et al. 10.1029/2021JD035920
- High‐resolution simulations of tropical island thunderstorms: Does an increase in resolution improve the representation of extreme rainfall? M. Bergemann et al. 10.1002/qj.4360
- Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology K. Tuftedal et al. 10.5194/acp-24-5637-2024
- Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes S. Trömel et al. 10.5194/acp-21-17291-2021
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- A Climatology of Snow Squalls in Southern New England 1994–2018 F. Colby et al. 10.1175/MWR-D-21-0082.1
- An Analysis of the Performance of the Houston Lightning Mapping Array During an Intense Period of Convection During Tropical Storm Harvey T. Logan 10.1029/2020JD033270
- Updraft dynamics and microphysics: on the added value of the cumulus thermal reference frame in simulations of aerosol–deep convection interactions D. Hernandez-Deckers et al. 10.5194/acp-22-711-2022
- Optimizing radar scan strategies for tracking isolated deep convection using observing system simulation experiments M. Oue et al. 10.5194/amt-15-4931-2022
- Spatio-Temporal Analysis of Intense Convective Storms Tracks in a Densely Urbanized Italian Basin M. Sangiorgio & S. Barindelli 10.3390/ijgi9030183
Latest update: 14 Nov 2024
Short summary
Weather radars are offering improved capabilities to investigate storm physics, which remain poorly understood. We investigate enhanced use of such data near Houston, Texas, where pollution sources often provide a convenient contrast between polluted and clean air. We conclude that Houston is a favorable location to conduct a future field campaign during June through September because isolated storms are common and tend to last an hour, allowing frequent observations of a full life cycle.
Weather radars are offering improved capabilities to investigate storm physics, which remain...
