U.S. Department of EnergyOffice of Scientific and Technical Information
CSAPR2 cell-tracking data collected during TRACER
Abstract
One of the challenges of analyzing convective cell properties is quick evolution of the individual convective cells. While the operational radar data provide great a data set to analyze the evolution of radar observables of convective precipitation clouds statistically, previous studies also suggested that, because of the quick evolution of cell life cycle, conventional radar volume scan strategies taking ~5-7 minutes might not capture the detailed evolution. The TRACER campaign deployed CSAPR2, which performed frequent update of RHI and sector PPI scans to track convective cells every < 2 minutes guided by a new cell-tracking framework, Multisensor Agile Adaptive Sampling (MAAS; Kollias et al. 2020). This allows for capturing fast-evolving radar observables. The submitted data files are CSAPR2 data in CfRadial format collected during the TRACER field campaign from June to September 2020. The data files include processed radar variables including: noise-masked reflectivity and differential reflectivity corrected for rain attenuation and systematic biases, noise-masked dealiased radial velocity, specific differential phase, locations of target cells (latitude, longitude, radar range), and radar-echo classification.
- Publication Date:
- Other Number(s):
- ARM0722
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; C-band polarimetric radar; altitude; altitude_agl; azimuth; corrected_differential_reflectivity; corrected_reflectivity_horizontal; corrected_velocity; correlation_coefficient; differential_phase; differential_reflectivity; elevation; latitude; longitude; mean_doppler_velocity; n_samples; nyquist_velocity; prt; pulse_width; radar_beam_width; radar_echo_classification; range; reflectivity; scan_rate; signal_to_noise_ratio; specific_differential_phase; spectrum_width; sweep_end_ray_index; sweep_mode; sweep_mode_flag; sweep_start_ray_index; target_distance; target_label; target_latitude; target_longitude; time; time_coverage_end; time_coverage_start; total_attenuation; total_differential_attenuation
- OSTI Identifier:
- 1969992
- DOI:
- https://doi.org/10.5439/1969992
Citation Formats
Oue, Mariko, Puigdoménech-Treserras, Bernat, Luke, Edward, and Kollias, Pavlos. CSAPR2 cell-tracking data collected during TRACER. United States: N. p., 2023.
Web. doi:10.5439/1969992.
Oue, Mariko, Puigdoménech-Treserras, Bernat, Luke, Edward, & Kollias, Pavlos. CSAPR2 cell-tracking data collected during TRACER. United States. doi:https://doi.org/10.5439/1969992
Oue, Mariko, Puigdoménech-Treserras, Bernat, Luke, Edward, and Kollias, Pavlos. 2023.
"CSAPR2 cell-tracking data collected during TRACER". United States. doi:https://doi.org/10.5439/1969992. https://www.osti.gov/servlets/purl/1969992. Pub date:Mon Apr 17 04:00:00 UTC 2023
@article{osti_1969992,
title = {CSAPR2 cell-tracking data collected during TRACER},
author = {Oue, Mariko and Puigdoménech-Treserras, Bernat and Luke, Edward and Kollias, Pavlos},
abstractNote = {One of the challenges of analyzing convective cell properties is quick evolution of the individual convective cells. While the operational radar data provide great a data set to analyze the evolution of radar observables of convective precipitation clouds statistically, previous studies also suggested that, because of the quick evolution of cell life cycle, conventional radar volume scan strategies taking ~5-7 minutes might not capture the detailed evolution. The TRACER campaign deployed CSAPR2, which performed frequent update of RHI and sector PPI scans to track convective cells every < 2 minutes guided by a new cell-tracking framework, Multisensor Agile Adaptive Sampling (MAAS; Kollias et al. 2020). This allows for capturing fast-evolving radar observables. The submitted data files are CSAPR2 data in CfRadial format collected during the TRACER field campaign from June to September 2020. The data files include processed radar variables including: noise-masked reflectivity and differential reflectivity corrected for rain attenuation and systematic biases, noise-masked dealiased radial velocity, specific differential phase, locations of target cells (latitude, longitude, radar range), and radar-echo classification. },
doi = {10.5439/1969992},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 17 04:00:00 UTC 2023},
month = {Mon Apr 17 04:00:00 UTC 2023}
}