U.S. Department of EnergyOffice of Scientific and Technical Information
CACTI CSAPR2 Taranis Retrievals
Abstract
Taranis is an end-to-end processing chain for radar data written in Python with C extension for computation performance. Features include: masking for quality control, specific differential phase (Kdp), attenuation correction for reflectivity factor (Z) and differential reflectivity (Zdr) in rain, and additional geophysical retrievals. Retrievals are mostly drawn from literature or open-source software when appropriate, and have been tested, tuned, and modified to work with one another cohesively rather than using isolated off-the-shelf algorithms. Incorporated algorithms include hydrometeor (echo) identification, rain water content, raindrop mass-weighted mean diameter (gamma size distribution assumption), and rainfall rate (QPE). Taranis data sets exist for CSAPR2 PPI, HSRHI, and sector RHI scans. Cartesian-gridded data sets were also produced as well as a near-surface rain rate retrieval. More details can be found in the README.
- Publication Date:
- 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; Atmosphere: Troposphere
- OSTI Identifier:
- 2440152
- DOI:
- https://doi.org/10.5439/2440152
Citation Formats
Hardin, Joseph, Bharadwaj, Nitin, Varble, Adam, Giangrande, Scott, and Feng, Zhe. CACTI CSAPR2 Taranis Retrievals. United States: N. p., 2024.
Web. doi:10.5439/2440152.
Hardin, Joseph, Bharadwaj, Nitin, Varble, Adam, Giangrande, Scott, & Feng, Zhe. CACTI CSAPR2 Taranis Retrievals. United States. doi:https://doi.org/10.5439/2440152
Hardin, Joseph, Bharadwaj, Nitin, Varble, Adam, Giangrande, Scott, and Feng, Zhe. 2024.
"CACTI CSAPR2 Taranis Retrievals". United States. doi:https://doi.org/10.5439/2440152. https://www.osti.gov/servlets/purl/2440152. Pub date:Tue Sep 10 00:00:00 EDT 2024
@article{osti_2440152,
title = {CACTI CSAPR2 Taranis Retrievals},
author = {Hardin, Joseph and Bharadwaj, Nitin and Varble, Adam and Giangrande, Scott and Feng, Zhe},
abstractNote = {Taranis is an end-to-end processing chain for radar data written in Python with C extension for computation performance. Features include: masking for quality control, specific differential phase (Kdp), attenuation correction for reflectivity factor (Z) and differential reflectivity (Zdr) in rain, and additional geophysical retrievals. Retrievals are mostly drawn from literature or open-source software when appropriate, and have been tested, tuned, and modified to work with one another cohesively rather than using isolated off-the-shelf algorithms. Incorporated algorithms include hydrometeor (echo) identification, rain water content, raindrop mass-weighted mean diameter (gamma size distribution assumption), and rainfall rate (QPE). Taranis data sets exist for CSAPR2 PPI, HSRHI, and sector RHI scans. Cartesian-gridded data sets were also produced as well as a near-surface rain rate retrieval. More details can be found in the README.},
doi = {10.5439/2440152},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 10 00:00:00 EDT 2024},
month = {Tue Sep 10 00:00:00 EDT 2024}
}