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13. tobac v1.5: introducing fast 3D tracking, splits and mergers, and other enhancements for identifying and analysing meteorological phenomena.

Author

Sokolowsky, G. Alexander, Freeman, Sean W., Jones, William K., Kukulies, Julia, Senf, Fabian, Marinescu, Peter J., Heikenfeld, Max, Brunner, Kelcy N., Bruning, Eric C., Collis, Scott M., Jackson, Robert C., Leung, Gabrielle R., Pfeifer, Nils, Raut, Bhupendra A., Saleeby, Stephen M., Stier, Philip, and van den Heever, Susan C.

Subjects
MERGERS & acquisitions, PYTHON programming language, DATA reduction
Abstract

There is a continuously increasing need for reliable feature detection and tracking tools based on objective analysis principles for use with meteorological data. Many tools have been developed over the previous 2 decades that attempt to address this need but most have limitations on the type of data they can be used with, feature computational and/or memory expenses that make them unwieldy with larger datasets, or require some form of data reduction prior to use that limits the tool's utility. The Tracking and Object-Based Analysis of Clouds (tobac) Python package is a modular, open-source tool that improves on the overall generality and utility of past tools. A number of scientific improvements (three spatial dimensions, splits and mergers of features, an internal spectral filtering tool) and procedural enhancements (increased computational efficiency, internal regridding of data, and treatments for periodic boundary conditions) have been included in tobac as a part of the tobac v1.5 update. These improvements have made tobac one of the most robust, powerful, and flexible identification and tracking tools in our field to date and expand its potential use in other fields. Future plans for tobac v2 are also discussed. [ABSTRACT FROM AUTHOR]

Published
2024
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16. tobac v1.5: Introducing Fast 3D Tracking, Splits and Mergers, and Other Enhancements for Identifying and Analysing Meteorological Phenomena

Author

Sokolowsky, G. Alexander, primary, Freeman, Sean W., additional, Jones, William K., additional, Kukulies, Julia, additional, Senf, Fabian, additional, Marinescu, Peter J., additional, Heikenfeld, Max, additional, Brunner, Kelcy N., additional, Bruning, Eric C., additional, Collis, Scott M., additional, Jackson, Robert C., additional, Leung, Gabrielle R., additional, Pfeifer, Nils, additional, Raut, Bhupendra A., additional, Saleeby, Stephen M., additional, Stier, Philip, additional, and van den Heever, Susan C., additional

Published
2023
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18. Data from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging

Author

Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary

Published
2023
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19. Supplementary Figure 3 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging

Author

Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary

Published
2023
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20. Supplementary Tables 1 - 4 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging

Author

Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary

Published
2023
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21. Supplementary Figure 2 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging

Author

Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary

Published
2023
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22. Supplementary Figure 4 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging

Author

Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary

Published
2023
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23. Supplementary Figure 1 from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging

Author

Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary

Published
2023
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24. Supplementary Figure Legend from Prognostic and Therapeutic Impact of Argininosuccinate Synthetase 1 Control in Bladder Cancer as Monitored Longitudinally by PET Imaging

Author

Allen, Michael D., primary, Luong, Phuong, primary, Hudson, Chantelle, primary, Leyton, Julius, primary, Delage, Barbara, primary, Ghazaly, Essam, primary, Cutts, Rosalind, primary, Yuan, Ming, primary, Syed, Nelofer, primary, Lo Nigro, Cristiana, primary, Lattanzio, Laura, primary, Chmielewska-Kassassir, Malgorzata, primary, Tomlinson, Ian, primary, Roylance, Rebecca, primary, Whitaker, Hayley C., primary, Warren, Anne Y., primary, Neal, David, primary, Frezza, Christian, primary, Beltran, Luis, primary, Jones, Louise J., primary, Chelala, Claude, primary, Wu, Bor-Wen, primary, Bomalaski, John S., primary, Jackson, Robert C., primary, Lu, Yong-Jie, primary, Crook, Tim, primary, Lemoine, Nicholas R., primary, Mather, Stephen, primary, Foster, Julie, primary, Sosabowski, Jane, primary, Avril, Norbert, primary, Li, Chien-Feng, primary, and Szlosarek, Peter W., primary

Published
2023
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25. Optimizing cloud motion estimation on the edge with phase correlation and optical flow

Author

Raut, Bhupendra A., primary, Muradyan, Paytsar, additional, Sankaran, Rajesh, additional, Jackson, Robert C., additional, Park, Seongha, additional, Shahkarami, Sean A., additional, Dematties, Dario, additional, Kim, Yongho, additional, Swantek, Joseph, additional, Conrad, Neal, additional, Gerlach, Wolfgang, additional, Shemyakin, Sergey, additional, Beckman, Pete, additional, Ferrier, Nicola J., additional, and Collis, Scott M., additional

Published
2023
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27. tobac v1.5: Introducing Fast 3D Tracking, Splits and Mergers, and Other Enhancements for Identifying and Analysing Meteorological Phenomena.

Author

Sokolowsky, G. Alexander, Freeman, Sean W., Jones, William K., Kukulies, Julia, Senf, Fabian, Marinescu, Peter J., Heikenfeld, Max, Brunner, Kelcy N., Bruning, Eric C., Collis, Scott M., Jackson, Robert C., Leung, Gabrielle R., Pfeifer, Nils, Raut, Bhupendra A., Saleeby, Stephen M., Stier, Philip, and Heever, Susan C. van den

Subjects
MERGERS & acquisitions, PYTHON programming language, DATA reduction, ARTIFICIAL satellite tracking
Abstract

There is a continuously increasing need for reliable feature detection and tracking tools based on objective analysis principles for use with meteorological data. Many tools have been developed over the previous two decades that attempt to address this need, but most have limitations on the type of data they can be used with; computational and/or memory expenses that make them unwieldy with larger datasets; or require some form of data reduction prior to use that limits the tool's utility. The Tracking and Object-Based Analysis of Clouds (tobac) Python package is a modular, open-source tool that improves on the overall generality and utility of past tools. A number of scientific improvements (three spatial dimensions, splits and mergers of features, an internal spectral filtering tool) and procedural enhancements (increased computational efficiency, internal regridding of data, and treatments for periodic boundary conditions) have been included in tobac as a part of the tobac v1.5 update. These improvements have made tobac one of the most robust, powerful, and flexible identification and tracking tools in our field to date and expand its potential use in other fields. Future plans for tobac v2 are also discussed. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Use of Polarimetric Radar Measurements to Constrain Simulated Convective Cell Evolution: A Pilot Study with Lagrangian Tracking

Author

Fridlind, Ann M, van Lier-Walqui, Marcus, Collis, Scott, Giangrande, Scott E, Jackson, Robert C, Li, Xiaowen, Matsui, Toshihisa, Orville, Richard, Picel, Mark H, Rosenfield, Daniel, Ryzhkov, Alexander, Weitz, Richard, and Zhang, Pengfei

Subjects
Earth Resources And Remote Sensing
Abstract

To probe the potential value of a radar-driven field campaign to constrain simulation of isolated convection subject to a strong aerosol perturbation, convective cells observed by the operational KHGX weather radar in the vicinity of Houston, Texas, are examined individually and statistically. Cells observed in a single case study of onshore flow conditions during July 2013 are first examined and compared with cells in a regional model simulation. Observed and simulated cells are objectively identified and tracked from observed or calculated positive specific differential phase (K(sub DP)) above the melting level, which is related to the presence of supercooled liquid water. Several observed and simulated cells are subjectively selected for further examination. Below the melting level, we compare sequential cross sections of retrieved and simulated raindrop size distribution parameters. Above the melting level, we examine time series of KDP and radar differential reflectivity (Z(sub DR)) statistics from observations and calculated from simulated supercooled rain properties, alongside simulated vertical wind and supercooled rain mixing ratio statistics. Results indicate that the operational weather radar measurements offer multiple constraints on the properties of simulated convective cells, with substantial value added from derived K(sub DP) and retrieved rain properties. The value of collocated three-dimensional lightning mapping array measurements, which are relatively rare in the continental US, supports the choice of Houston as a suitable location for future field studies to improve the simulation and understanding of convective updraft physics. However, rapid evolution of cells between routine volume scans motivates consideration of adaptive scan strategies or radar imaging technologies to amend operational weather radar capabilities. A 3-year climatology of isolated cell tracks, prepared using a more efficient algorithm, yields additional relevant information. Isolated cells are found within the KHGX domain on roughly 40 % of days year-round, with greatest concentration in the northwest quadrant, but roughly 5-fold more cells occur during June through September. During this enhanced occurrence period, the cells initiate following a strong diurnal cycle that peaks in the early afternoon, typically follow a south-to-north flow, and dissipate within 1 h, consistent with the case study examples. Statistics indicate that ∼ 150 isolated cells initiate and dissipate within 70 km of the KHGX radar during the enhanced occurrence period annually, and roughly 10 times as many within 200 km, suitable for multi-instrument Lagrangian observation strategies. In addition to ancillary meteorological and aerosol measurements, robust vertical wind speed retrievals would add substantial value to a radar-driven field campaign.

Published
2019
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42. The Dependence of Cirrus Gamma Size Distributions Expressed as Volumes in N(sub 0)-Lambda-Mu Phase Space and Bulk Cloud Properties on Environmental Conditions: Results from the Small Ice Particles in Cirrus Experiment (SPARTICUS)

Author

Jackson, Robert C, McFarquhar, Greg M, Fridlind, Ann M, and Atlas, Rachel

Subjects
Meteorology And Climatology
Abstract

The variability of cirrus ice microphysical properties is investigated using observations obtained during the Small Particles in Cirrus (SPARTICUS) campaign. An existing approach that represents a size distribution (SD) as a single gamma function using an ellipsoid of equally realizable solutions in (N(sub 0), lambda, mu) phase space is modified to automatically identify multiple modes in SDs and characterize each mode by such an ellipsoid. The modified approach is applied to ice crystals with maximum dimension D greater than15 micrometers collected by the 2-D stereo and 2-D precipitation probes on the Stratton Park Engineering Company Learjet. The dependencies of N(sub 0), mu, and lambda from each mode, total number concentration, bulk extinction, ice water content (IWC), and mass median maximum dimension D(sub mm) as a function of temperature T and cirrus type are then analyzed. The changes in the observed codependencies between N(sub 0), mu, and lambda, bulk extinction, IWC, and D(sub mm) with environmental conditions indicate that particles were larger at higher T during SPARTICUS. At most two modes were observed in any SD during SPARTICUS, with the average boundary between them at 115 micrometers, similar to past studies not using probes with shatter mitigating tips and artifact removal algorithms. The bimodality of the SDs increased with T. This and the differences in N(sub 0), mu, and lambda between the modes suggest that particles with smaller D nucleated more recently than particles with larger D, which grew via vapor deposition and aggregation. Because smaller crystals, whose concentrations are uncertain, make marginal contributions to higher order moments, the use of higher moments for evaluating model fields is suggested.

Published
2015
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