Atmospheric Radiation Measurement (ARM) Data Center Sponsoring Org.: USDOE Office of Science (SC), Biological and Environmental Research (BER) Collaborations: PNNL, BNL, ANL, ORNL Subject: 54 Environmental Sciences Keywords: corrected_reflectivity_horizontal corrected_differential_reflectivity specific_differential_phase radar_echo_classification total_attenuation total_differential_attenuation corrected_velocity target_label target_distance target_latitude target_longitude correlation_coefficient differential_phase elevation azimuth range time signal_to_noise_ratio time_coverage_end time_coverage_start sweep_start_ray_index sweep_end_ray_index sweep_mode_flag sweep_mode spectrum_width scan_rate radar_beam_width prt pulse_width nyquist_velocity n_samples mean_doppler_velocity differential_reflectivity reflectivity differential_phase altitude altitude_agl longitude latitude C-band polarimetric radar OSTI Identifier: 1969992 DOI: = ,Ĭarbon (C) and nitrogen (N) weight percent concentrations were obtained from the bulk foliar samples collected across East River, Washington Gulch, Slate River, and Coal Creek watersheds in Gunnison, Colorado during the summer of 2018. Atmospheric Radiation Measurement (ARM) Archive Oak Ridge National Lab. Puigdoménech-Treserras, Bernat Luke, Edward Kollias, Pavlos Publication Date: Other Number(s): ARM0722 DOE Contract Number: DE-AC05-00OR22725 Research Org.: Oak Ridge National Lab. Search DOE Data Explorer for author "Oue, Mariko".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. The submitted data files are CSAPR2 data in CfRadial format collected during the TRACER field campaign from June to September 2020. ![]() ![]() This allows for capturing fast-evolving radar observables. 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. 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. One of the challenges of analyzing convective cell properties is quick evolution of the individual convective cells.
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