"Attribution of the Extreme 2022 Summer Drought along the Yangtze River Valley in China Based on Detection and Attribution System of Chinese Academy of Sciences" published on 03 Jul 2024 by American Meteorological Society.
{"title":"Attribution of the Extreme 2022 Summer Drought along the Yangtze River Valley in China Based on Detection and Attribution System of Chinese Academy of Sciences","authors":"Lixia Zhang, Tianjun Zhou, Xing Zhang, Wenxia Zhang, Lijuan Li, Laurent Li","doi":"10.1175/bams-d-23-0258.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0258.1","url":null,"abstract":"\"Attribution of the Extreme 2022 Summer Drought along the Yangtze River Valley in China Based on Detection and Attribution System of Chinese Academy of Sciences\" published on 03 Jul 2024 by American Meteorological Society.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1175/bams-d-24-0071.1
Craig Earl-Spurr, Sébastien Langlade, Daniel Krahenbuhl, Sim D. Aberson, Manola Brunet, Johnny Chan, Chris Fogarty, Christopher W. Landsea, Blair Trewin, Christopher Velden, Robert C. Balling, Randall S. Cerveny
Abstract A World Meteorological Organization team has evaluated 2023's Tropical Cyclone Freddy's duration of 36.0 days (with 10-min average wind-speeds of 30 kt or higher) as the world record for longest tropical cyclone duration.
{"title":"New WMO Certified Tropical Cyclone Duration Extreme: TC Freddy (04 February to 14 March 2023) Lasting for 36.0 days","authors":"Craig Earl-Spurr, Sébastien Langlade, Daniel Krahenbuhl, Sim D. Aberson, Manola Brunet, Johnny Chan, Chris Fogarty, Christopher W. Landsea, Blair Trewin, Christopher Velden, Robert C. Balling, Randall S. Cerveny","doi":"10.1175/bams-d-24-0071.1","DOIUrl":"https://doi.org/10.1175/bams-d-24-0071.1","url":null,"abstract":"Abstract A World Meteorological Organization team has evaluated 2023's Tropical Cyclone Freddy's duration of 36.0 days (with 10-min average wind-speeds of 30 kt or higher) as the world record for longest tropical cyclone duration.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1175/bams-d-23-0252.1
Michelle L. L’Heureux, Daniel S. Harnos, Emily Becker, Brian Brettschneider, Mingyue Chen, Nathaniel C. Johnson, Arun Kumar, Michael K. Tippett
Abstract Did the strong 2023–24 El Niño live up to the hype? While climate prediction is inherently probabilistic, many users compare El Niño events against a deterministic map of expected impacts (e.g., wetter or drier regions). Here, using this event as a guide, we show that no El Niño perfectly matches the ideal image and that observed anomalies will only partially match what was anticipated. In fact, the degree to which the climate anomalies match the expected ENSO impacts tends to scale with the strength of the event. The 2023–24 event generally matched well with ENSO expectations around the United States. However, this will not always be the case, as the analysis shows larger deviations from the historical ENSO pattern of impacts are commonplace, with some climate variables more prone to inconsistencies (e.g., temperature) than others (e.g., precipitation). Users should incorporate this inherent uncertainty in their risk and decision-making analysis.
{"title":"How Well Do Seasonal Climate Anomalies Match Expected El Niño-Southern Oscillation (ENSO) Impacts?","authors":"Michelle L. L’Heureux, Daniel S. Harnos, Emily Becker, Brian Brettschneider, Mingyue Chen, Nathaniel C. Johnson, Arun Kumar, Michael K. Tippett","doi":"10.1175/bams-d-23-0252.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0252.1","url":null,"abstract":"Abstract Did the strong 2023–24 El Niño live up to the hype? While climate prediction is inherently probabilistic, many users compare El Niño events against a deterministic map of expected impacts (e.g., wetter or drier regions). Here, using this event as a guide, we show that no El Niño perfectly matches the ideal image and that observed anomalies will only partially match what was anticipated. In fact, the degree to which the climate anomalies match the expected ENSO impacts tends to scale with the strength of the event. The 2023–24 event generally matched well with ENSO expectations around the United States. However, this will not always be the case, as the analysis shows larger deviations from the historical ENSO pattern of impacts are commonplace, with some climate variables more prone to inconsistencies (e.g., temperature) than others (e.g., precipitation). Users should incorporate this inherent uncertainty in their risk and decision-making analysis.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-27DOI: 10.1175/bams-d-24-0145.1
Valerio Lembo, Simona Bordoni, Emanuele Bevacqua, Daniela I. V. Domeisen, Christian L. E. Franzke, Vera M. Galfi, Chaim Garfinkel, Christian I. Grams, Assaf Hochman, Roshan Jha, Kai Kornhuber, Frank Kwasniok, Valerio Lucarini, Gabriele Messori, Duncan Pappert, Iago Perez-Fernandez, Jacopo Riboldi, Emmanuele Russo, Tiffany A. Shaw, Iana Strigunova, Felix Strnad, Pascal Yiou, Nedjeljka Zagar
Abstract What: A workshop on Rossby waves, heatwaves and compound extreme events was co-organized by the Institute for Atmospheric Sciences and Climate (ISAC) of the National Research Council of Italy (CNR) and the University of Trento, Italy. The workshop gathered experts from different fields, such as extreme events analysis, atmospheric dynamics, climate modeling, Numerical Weather Prediction, with the aim to discuss state-of-the-art research, open challenges, and stimulate networking across different communities. When: 28-30th November 2023. Where: CNR Research Area, Bologna, Italy.
{"title":"Dynamics, statistics and predictability of Rossby waves, heatwaves and spatially compounded extreme events","authors":"Valerio Lembo, Simona Bordoni, Emanuele Bevacqua, Daniela I. V. Domeisen, Christian L. E. Franzke, Vera M. Galfi, Chaim Garfinkel, Christian I. Grams, Assaf Hochman, Roshan Jha, Kai Kornhuber, Frank Kwasniok, Valerio Lucarini, Gabriele Messori, Duncan Pappert, Iago Perez-Fernandez, Jacopo Riboldi, Emmanuele Russo, Tiffany A. Shaw, Iana Strigunova, Felix Strnad, Pascal Yiou, Nedjeljka Zagar","doi":"10.1175/bams-d-24-0145.1","DOIUrl":"https://doi.org/10.1175/bams-d-24-0145.1","url":null,"abstract":"Abstract What: A workshop on Rossby waves, heatwaves and compound extreme events was co-organized by the Institute for Atmospheric Sciences and Climate (ISAC) of the National Research Council of Italy (CNR) and the University of Trento, Italy. The workshop gathered experts from different fields, such as extreme events analysis, atmospheric dynamics, climate modeling, Numerical Weather Prediction, with the aim to discuss state-of-the-art research, open challenges, and stimulate networking across different communities. When: 28-30th November 2023. Where: CNR Research Area, Bologna, Italy.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-19DOI: 10.1175/bams-d-23-0227.1
Ligia Bernardet, Lisa Bengtsson, Patrick A. Reinecke, Fanglin Yang, Man Zhang, Kyle Hall, James Doyle, Matus Martini, Grant Firl, Lulin Xue
Abstract The Common Community Physics Package (CCPP) is a state-of-the-art infrastructure designed to facilitate community-wide development of atmospheric physics parameterizations, support their interoperability among different modeling centers, and enable the transition of research to operations in NWP and climate modeling. The CCPP consists of two elements: the Physics (a repository of parameterizations) and the Framework (an infrastructure for interfacing the parameterizations with host models). The CCPP is a community resource: its latest release has 23 primary parameterizations, which can be organized into six supported suites. It is distributed with a single-column model to facilitate physics development and experimentation. The Developmental Testbed Center provides support to users and developers. A key aspect of the CCPP is its interoperability, that is, its ability to be used by multiple host models. This enables synergistic collaboration among groups dispersed over various institutions and working on various models. In this article we provide an overview of the CCPP and how it is being used in two leading modeling systems. The CCPP is part of the Unified Forecast System (UFS), is included in the NOAA operational Hurricane Analysis and Forecast System (HAFS) version one, and is slated for use in all upcoming NOAA global and limited-area UFS applications for operations. Similarly, the CCPP has been integrated into the Navy Environmental Prediction System Using a Nonhydrostatic Engine (NEPTUNE) model and is undergoing testing for upcoming transition to operations. These experiences make physics interoperability a reality and open the doors for much broader collaborative efforts on ESM development.
{"title":"Common Community Physics Package: Fostering Collaborative Development in Physical Parameterizations and Suites","authors":"Ligia Bernardet, Lisa Bengtsson, Patrick A. Reinecke, Fanglin Yang, Man Zhang, Kyle Hall, James Doyle, Matus Martini, Grant Firl, Lulin Xue","doi":"10.1175/bams-d-23-0227.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0227.1","url":null,"abstract":"Abstract The Common Community Physics Package (CCPP) is a state-of-the-art infrastructure designed to facilitate community-wide development of atmospheric physics parameterizations, support their interoperability among different modeling centers, and enable the transition of research to operations in NWP and climate modeling. The CCPP consists of two elements: the Physics (a repository of parameterizations) and the Framework (an infrastructure for interfacing the parameterizations with host models). The CCPP is a community resource: its latest release has 23 primary parameterizations, which can be organized into six supported suites. It is distributed with a single-column model to facilitate physics development and experimentation. The Developmental Testbed Center provides support to users and developers. A key aspect of the CCPP is its interoperability, that is, its ability to be used by multiple host models. This enables synergistic collaboration among groups dispersed over various institutions and working on various models. In this article we provide an overview of the CCPP and how it is being used in two leading modeling systems. The CCPP is part of the Unified Forecast System (UFS), is included in the NOAA operational Hurricane Analysis and Forecast System (HAFS) version one, and is slated for use in all upcoming NOAA global and limited-area UFS applications for operations. Similarly, the CCPP has been integrated into the Navy Environmental Prediction System Using a Nonhydrostatic Engine (NEPTUNE) model and is undergoing testing for upcoming transition to operations. These experiences make physics interoperability a reality and open the doors for much broader collaborative efforts on ESM development.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-17DOI: 10.1175/bams-d-23-0214.1
Christopher P. McKay, Mateo N. Cintron
Abstract The thermal equator (also known as the heat equator) is the circumplanetary set of points that represent the highest mean annual temperature at each longitude. Recent high precision global datasets for Earth and Mars provide a basis for a detailed calculation of the thermal equator on these worlds. On Earth, the temperature values that comprise the thermal equator range from 25.85° to 34.75°C, with a mean of 27.75° ± 1.3°C, and extends in latitude as high as 20°N in Mexico and 29.3°N in the Indian subcontinent. The maximum southern extent is 20°S in Australia. On Mars, lacking oceans, the thermal equator takes a simpler track and is roughly parallel to the equator, and displaced 5°–10°S. However, there is a region of longitude on Mars where the thermal equator becomes bimodal with a northern branch centered at 10°N and a southern branch centered at 20°S.
{"title":"The Thermal Equator on Earth and Mars","authors":"Christopher P. McKay, Mateo N. Cintron","doi":"10.1175/bams-d-23-0214.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0214.1","url":null,"abstract":"Abstract The thermal equator (also known as the heat equator) is the circumplanetary set of points that represent the highest mean annual temperature at each longitude. Recent high precision global datasets for Earth and Mars provide a basis for a detailed calculation of the thermal equator on these worlds. On Earth, the temperature values that comprise the thermal equator range from 25.85° to 34.75°C, with a mean of 27.75° ± 1.3°C, and extends in latitude as high as 20°N in Mexico and 29.3°N in the Indian subcontinent. The maximum southern extent is 20°S in Australia. On Mars, lacking oceans, the thermal equator takes a simpler track and is roughly parallel to the equator, and displaced 5°–10°S. However, there is a region of longitude on Mars where the thermal equator becomes bimodal with a northern branch centered at 10°N and a southern branch centered at 20°S.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-14DOI: 10.1175/bams-d-22-0285.1
M. Radenz, R. Engelmann, Silvia Henning, Holger Schmithüsen, Holger Baars, Markus M. Frey, Rolf Weller, J. Bühl, Cristofer Jiménez, Johanna Roschke, Lukas Ole Muser, Nellie Wullenweber, S. Zeppenfeld, H. Griesche, U. Wandinger, P. Seifert
Novel observations of aerosol and clouds by means of ground-based remote sensing have been performed in Antarctica over the Ekström ice shelf on the coast of Dronning Maud Land at Neumayer Station III (70.67°S, 8.27°W) from January to December 2023. The deployment of OCEANET-Atmosphere remote-sensing observatory in the framework of the Continuous Observations of Aerosol-cLoud interAction (COALA) campaign brought ACTRIS aerosol and cloud profiling capabilities next to meteorological and air chemistry in-situ observations at the Antarctic station. We present an overview of the site, the instrumental setup and data analysis strategy and introduce 3 scientific highlights from austral fall and winter, namely: 1. Observations of a persistent mixed-phase cloud embedded in a plume of marine aerosol. Remote-sensing-based retrievals of cloud-relevant aerosol properties and cloud microphysical parameters confirm that the free-tropospheric mixed phase cloud layer formed in an aerosol-limited environment. 2. Two extraordinary warm air intrusions. One with intense snowfall produced the equivalent of 10% of the yearly snow accumulation, a second one with record-breaking maximum temperatures and heavy icing due to supercooled drizzle. 3. Omnipresent aerosol layers in the stratosphere. Our profiling capabilities could show that 50% of the 500-nm aerosol optical depth of 0.06 was caused by stratospheric aerosol, while the troposphere was usually pristine. As demonstrated by these highlights, the one-year COALA observations will serve as a reference dataset for the vertical structure of aerosol and clouds above the region, enabling future observational and modeling studies to advance understanding of atmospheric processes in Antarctica.
{"title":"Ground-based Remote Sensing of Aerosol, Clouds, Dynamics, and Precipitation in Antarctica —First results from the one-year COALA campaign at Neumayer Station III in 2023","authors":"M. Radenz, R. Engelmann, Silvia Henning, Holger Schmithüsen, Holger Baars, Markus M. Frey, Rolf Weller, J. Bühl, Cristofer Jiménez, Johanna Roschke, Lukas Ole Muser, Nellie Wullenweber, S. Zeppenfeld, H. Griesche, U. Wandinger, P. Seifert","doi":"10.1175/bams-d-22-0285.1","DOIUrl":"https://doi.org/10.1175/bams-d-22-0285.1","url":null,"abstract":"\u0000Novel observations of aerosol and clouds by means of ground-based remote sensing have been performed in Antarctica over the Ekström ice shelf on the coast of Dronning Maud Land at Neumayer Station III (70.67°S, 8.27°W) from January to December 2023. The deployment of OCEANET-Atmosphere remote-sensing observatory in the framework of the Continuous Observations of Aerosol-cLoud interAction (COALA) campaign brought ACTRIS aerosol and cloud profiling capabilities next to meteorological and air chemistry in-situ observations at the Antarctic station. We present an overview of the site, the instrumental setup and data analysis strategy and introduce 3 scientific highlights from austral fall and winter, namely: 1. Observations of a persistent mixed-phase cloud embedded in a plume of marine aerosol. Remote-sensing-based retrievals of cloud-relevant aerosol properties and cloud microphysical parameters confirm that the free-tropospheric mixed phase cloud layer formed in an aerosol-limited environment. 2. Two extraordinary warm air intrusions. One with intense snowfall produced the equivalent of 10% of the yearly snow accumulation, a second one with record-breaking maximum temperatures and heavy icing due to supercooled drizzle. 3. Omnipresent aerosol layers in the stratosphere. Our profiling capabilities could show that 50% of the 500-nm aerosol optical depth of 0.06 was caused by stratospheric aerosol, while the troposphere was usually pristine. As demonstrated by these highlights, the one-year COALA observations will serve as a reference dataset for the vertical structure of aerosol and clouds above the region, enabling future observational and modeling studies to advance understanding of atmospheric processes in Antarctica.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141344874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-13DOI: 10.1175/bams-d-23-0326.1
R. Anthes, Christian Marquardt, B. Ruston, Hui Shao
The international radio occultation (RO) community is conducting a collaborative effort to explore the impact of a large number of RO observations on numerical weather prediction (NWP). This effort, the Radio Occultation Modeling Experiment (ROMEX), has been endorsed by the International Radio Occultation Working Group, a scientific working group under the auspices of the Coordination Group for Meteorological Satellites (CGMS). ROMEX seeks to inform strategies for future RO missions and acquisitions. ROMEX is planned to consist of at least one three-month period during which all available RO data are collected, processed, archived, and made available to the global community free of charge for research and testing. Although the primary purpose is to test the impact of varying numbers of RO observations on NWP, the three months of RO observations during the first ROMEX period (ROMEX-1, September-November 2022) will be a rich data set for research on many atmospheric phenomena. The RO data providers have sent their data to EUMETSAT for processing. The total number of RO profiles averages between 30,000 and 40,000 per day for ROMEX-1. The processed data (phase, bending angle, refractivity, temperature, and water vapor) will be distributed to ROMEX participants by the Radio Occultation Meteorology Satellite Applications Facility (ROM SAF). The data will also be processed independently by the UCAR COSMIC Data Analysis and Archive Center (CDAAC) and available via ROM SAF. The data are freely available to all participants who agree to the conditions that the providers be acknowledged and the data are not used for commercial or operational purposes.
{"title":"Radio Occultation Modeling Experiment (ROMEX): Determining the impact of radio occultation observations on numerical weather prediction","authors":"R. Anthes, Christian Marquardt, B. Ruston, Hui Shao","doi":"10.1175/bams-d-23-0326.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0326.1","url":null,"abstract":"\u0000The international radio occultation (RO) community is conducting a collaborative effort to explore the impact of a large number of RO observations on numerical weather prediction (NWP). This effort, the Radio Occultation Modeling Experiment (ROMEX), has been endorsed by the International Radio Occultation Working Group, a scientific working group under the auspices of the Coordination Group for Meteorological Satellites (CGMS).\u0000ROMEX seeks to inform strategies for future RO missions and acquisitions. ROMEX is planned to consist of at least one three-month period during which all available RO data are collected, processed, archived, and made available to the global community free of charge for research and testing. Although the primary purpose is to test the impact of varying numbers of RO observations on NWP, the three months of RO observations during the first ROMEX period (ROMEX-1, September-November 2022) will be a rich data set for research on many atmospheric phenomena.\u0000The RO data providers have sent their data to EUMETSAT for processing. The total number of RO profiles averages between 30,000 and 40,000 per day for ROMEX-1. The processed data (phase, bending angle, refractivity, temperature, and water vapor) will be distributed to ROMEX participants by the Radio Occultation Meteorology Satellite Applications Facility (ROM SAF). The data will also be processed independently by the UCAR COSMIC Data Analysis and Archive Center (CDAAC) and available via ROM SAF. The data are freely available to all participants who agree to the conditions that the providers be acknowledged and the data are not used for commercial or operational purposes.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1175/bams-d-24-0097.1
M. Oue, K. Lamer, E. Luke, Zhuocan Xu, Fan Yang, Zeen Zhu, P. Kollias
{"title":"Training the next generation of researchers in exploring cloud dynamics and microphysics using millimeter-wavelength radars","authors":"M. Oue, K. Lamer, E. Luke, Zhuocan Xu, Fan Yang, Zeen Zhu, P. Kollias","doi":"10.1175/bams-d-24-0097.1","DOIUrl":"https://doi.org/10.1175/bams-d-24-0097.1","url":null,"abstract":"","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.1175/bams-d-22-0064.1
K. Kosiba, Anthony W. Lyza, Robert J. Trapp, Erik N. Rasmussen, Matthew D. Parker, M. Biggerstaff, Stephen W. Nesbitt, Christopher C. Weiss, Joshua Wurman, K. Knupp, Brice E Coffer, V. Chmielewski, Daniel T. Dawson, Eric Bruning, Tyler M. Bell, M. Coniglio, Todd A. Murphy, Michael French, Leanne Blind-Doskocil, Anthony E. Reinhart, dward Wolff, Morgan E. Schneider, Miranda Silcott, Elizabeth Smith, oshua Aikins, Melissa Wagner, Paul Robinson, J. Wilczak, Trevor White, David Bodine, M. Kumjian, S. Waugh, A. A. Alford, Kim Elmore, P. Kollias, David D. Turner
Quasi-linear convective systems (QLCSs) are responsible for approximately a quarter of all tornado events in the U.S., but no field campaigns have focused specifically on collecting data to understand QLCS tornadogenesis. The Propagation, Evolution, and Rotation in Linear System (PERiLS) project was the first observational study of tornadoes associated with QLCSs ever undertaken. Participants were drawn from more than 10 universities, laboratories, and institutes, with over 100 students participating in field activities. The PERiLS field phases spanned two years, late winters and early springs of 2022 and 2023, to increase the probability of intercepting significant tornadic QLCS events in a range of large-scale and local environments. The field phases of PERiLS collected data in nine tornadic and nontornadic QLCSs with unprecedented detail and diversity of measurements. The design and execution of the PERiLS field phase and preliminary data and ongoing analyses are shown.
{"title":"The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project","authors":"K. Kosiba, Anthony W. Lyza, Robert J. Trapp, Erik N. Rasmussen, Matthew D. Parker, M. Biggerstaff, Stephen W. Nesbitt, Christopher C. Weiss, Joshua Wurman, K. Knupp, Brice E Coffer, V. Chmielewski, Daniel T. Dawson, Eric Bruning, Tyler M. Bell, M. Coniglio, Todd A. Murphy, Michael French, Leanne Blind-Doskocil, Anthony E. Reinhart, dward Wolff, Morgan E. Schneider, Miranda Silcott, Elizabeth Smith, oshua Aikins, Melissa Wagner, Paul Robinson, J. Wilczak, Trevor White, David Bodine, M. Kumjian, S. Waugh, A. A. Alford, Kim Elmore, P. Kollias, David D. Turner","doi":"10.1175/bams-d-22-0064.1","DOIUrl":"https://doi.org/10.1175/bams-d-22-0064.1","url":null,"abstract":"\u0000Quasi-linear convective systems (QLCSs) are responsible for approximately a quarter of all tornado events in the U.S., but no field campaigns have focused specifically on collecting data to understand QLCS tornadogenesis. The Propagation, Evolution, and Rotation in Linear System (PERiLS) project was the first observational study of tornadoes associated with QLCSs ever undertaken. Participants were drawn from more than 10 universities, laboratories, and institutes, with over 100 students participating in field activities. The PERiLS field phases spanned two years, late winters and early springs of 2022 and 2023, to increase the probability of intercepting significant tornadic QLCS events in a range of large-scale and local environments. The field phases of PERiLS collected data in nine tornadic and nontornadic QLCSs with unprecedented detail and diversity of measurements. The design and execution of the PERiLS field phase and preliminary data and ongoing analyses are shown.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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