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Phase transitions between tropical,subtropical,and extratropical cyclones:A review from IWTC-10

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Tropical Cyclone Research and Review 2023年第4期12卷 294-308页

作者： Kimberly Wood Wataru Yanase Jack Beven Suzana J.Camargo Joseph B.Courtney Chris Fogarty Junya Fukuda Naoko Kitabatake matthew kucas Ron McTaggart-Cowan Michelle Simoes Reboita Jacopo Riboldi The University of Arizona ArizonaUSA Meteorological Research Institute IbarakiJapan National Hurricane Center MiamiUSA Lamont-Doherty Earth Observatory Columbia UniversityPalisadesUSA Bureau of Meteorology MelbourneAustralia Canadian Hurricane Center Nova ScotiaCanada Japan Meteorological Agency TokyoJapan Meteorological College ChibaJapan Joint Typhoon Warning Center HonoluluUSA Environment and Climate Change Gatineau QuebecCanada Federal University of Itajuba ItajubaBrazil ETH Zurich ZurichSwitzerland

This review,which was adapted from a Tenth International Workshop on Tropical Cyclones(IWTC-10)report,discusses research findings and operational practices relevant to cyclone types and phase transitions(extratropical,subtropical,and tropical).The cyclone phase space(CPS)method is widely used in both historical investigations and real-time evaluation of cyclone type and transition;however,CPS parameter values depend on input data resolution,and universal thresholds do not currently exist to delineate when a cyclone transitions from one type to *** of phase transitions in a changing climate highlight potential latitude shifts in extratropical transition and increased potential for tropical transition,but realistic projections of future trends likely require high-resolution simulations that can capture the cyclone warm *** meteorological centers apply varied approaches to cyclone classification via CPS parameters and other criteria,some of which depend on the tropical basin,yet these approaches cannot fully address challenges in operational classification and subsequently in communicating risks associated with these phase *** recommend a multivariate historical assessment of tropical and subtropical cyclones across all basins in which they occur,including the South Atlantic Ocean and the Mediterranean Sea,to identify the potential for a more universal cyclone classification approach that meets operational needs.

关键词： Tropical cyclone Subtropical cyclone Extratropical transition Tropical transition

Estimating tropical cyclone surface winds: Current status, emerging technologies, historical evolution, and a look to the future

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Tropical Cyclone Research and Review 2021年第3期10卷 125-150页

作者： John A.Knaff Charles R.Sampson matthew E.kucas Christopher J.Slocum Michael J.Brennan Thomas Meissner Lucrezia Ricciardulli Alexis Mouche Nicolas Reul Mary Morris Galina Chirokova Philippe Caroff NOAA/Center for Satellite Applications and Research Fort CollinsCOUSA Naval Research Laboratory MontereyCAUSA Joint Typhoon Warning Center Pearl HarborHawaiiUSA NOAA/NWS/NCEP National Hurricane Center MiamiFLUSA Remote Sensing Systems Santa RosaCAUSA Ifremer Univ.BrestCNRSIRDLaboratoire d’Océanographie Physique et SpatialeIUEM29280 BrestFrance NASA/Jet Propulsion Laboratory PasadenaCAUSA Cooperative Institute for Research in the Atmosphere Fort CollinsCOUSA Tropical Cyclone/Regional Specialized Meteorological Center Météo FranceRéunionFrance

This article provides a review of tropical cyclone(TC)surface wind estimation from an operational forecasting ***,we provide a summary of operational forecast center practices and historical ***,we discuss current and emerging objective estimates of TC surface winds,including algorithms,archive datasets,and individual algorithm strengths and weaknesses as applied to operational TC surface wind forecast *** review leads to recommendations about required surface coverage—an area covering at least 1100 km from center of TC at a 2-km resolution in the inner-core,and at a frequency of at least once every 6 *** is enough coverage to support a complete analysis of the TC surface wind field from center to the extent of the 34-kt(17 m s^(-1))winds at 6-h *** also suggest future designs of TC surface wind capabilities include funding to ensure near real-time data delivery to operators so that operational evaluation and use are feasible within proposed ***,we suggest that users of archived operational wind radii datasets contact operational organizations to ensure these datasets are appropriate for their needs as the datasets vary in quality through time and space,even from a single organisation.

关键词： Tropical cyclone Surface wind Satellite Best track Operations

Recommendations for improved tropical cyclone formation and position probabilistic Forecast products

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Tropical Cyclone Research and Review 2023年第4期12卷 241-258页

作者： Jason P.Dunion Chris Davis Helen Titley Helen Greatrex Munehiko Yamaguchi John Methven Raghavendra Ashrit Zhuo Wang Hui Yu Anne-Claire Fontan Alan Brammer matthew kucas matthew Ford Philippe Papin Fernando Prates Carla Mooney Andrew Kruczkiewicz Paromita Chakraborty Andrew Burton Mark DeMaria Ryan Torn Jonathan L.Vigh CIMAS University of Miamiand Hurricane Research DivisionNOAA/AOMLFloridaUSA NCAR Mesoscale and Microscale Meteorology Laboratory ColoradoUSA UK Met Office ExeterUK Pennsylvania State University PennsylvaniaUSA World Meteorological Organization GenevaSwitzerland University of Reading ReadingUK National Centre for Medium Range Weather Forecasting Ministry of Earth SciencesNoidaIndia University of Illinois at Urbana-Champaign IllinoisUSA Shanghai Typhoon Institute CMAShanghaiChina WMO Tropical Cyclone Programme(TCP)GenevaSwitzerland Cooperative Institute for Research in the Atmosphere/Colorado State University ColoradoUSA Joint Typhoon Warning Center HonoluluUSA MetService New Zealand WellingtonNew Zealand NOAA National Hurricane Center FloridaUSA European Centre for Medium-Range Weather Forecasts ReadingUK Bureau of Meteorology MelbourneAustralia Columbia University New YorkUSA Centre for Climate Research Singapore Meteorological Services SingaporeSingapore CIRA/Colorado State University ColoradoUSA University at Albany-SUNY New YorkUSA Research Applications Laboratory National Center for Atmospheric ResearchColoradoUSA

Prediction of the potentially devastating impact of landfalling tropical cyclones(TCs)relies substantially on numerical prediction *** to the limited predictability of TCs and the need to express forecast confidence and possible scenarios,it is vital to exploit the benefits of dynamic ensemble forecasts in operational TC forecasts and ***,TCWCs,and other forecast centers value probabilistic guidance for TCs,but the International Workshop on Tropical Cyclones(IWTC-9)found that the“pull-through”of probabilistic information to operational warnings using those forecasts is ***-9 recommendations led to the formation of the WMO/WWRP Tropical Cyclone-Probabilistic Forecast Products(TC-PFP)project,which is also endorsed as a WMO Seamless GDPFS Pilot *** main goal of TC-PFP is to coordinate across forecast centers to help identify best practice guidance for probabilistic TC ***-PFP is being implemented in 3 phases:Phase 1(TC formation and position);Phase 2(TC intensity and structure);and Phase 3(TC related rainfall and storm surge).This article provides a summary of Phase 1 and reviews the current state of the science of probabilistic forecasting of TC formation and *** is considerable variability in the nature and interpretation of forecast products based on ensemble information,making it challenging to transfer knowledge of best practices across forecast *** among forecast centers regarding the effectiveness of different approaches would be helpful for conveying best *** collaboration with experts experienced in communicating complex probabilistic TC information and sharing of best practices between centers would help to ensure effective decisions can be made based on TC ***,forecast centers need timely access to ensemble information that has consistent,user-friendly ensemble *** consistency across forecast centers in data accessibility,probabilistic forecast pr

关键词： Tropical cyclone Probabilistic Formation Position

RECENT ADVANCES IN RESEARCH AND FORECASTING OF TROPICAL CYCLONE TRACK, INTENSITY, AND STRUCTURE AT LANDFALL

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Tropical Cyclone Research and Review 2018年第2期7卷 85-105页

作者： MARIE-DOMINIQUE LEROUX KIMBERLY WOOD RUSSELL L.ELSBERRY ESPERANZA O.CAYANAN ERIC HENDRICKS matthew kucas PETER OTTO ROBERT ROGERS BUCK SAMPSON ZIFENG YU Météo-France DIROI/EC Mississippi State University University of Colorado-Colorado Springs Philippine Atmospheric Geophysical and Astronomical Services Administration Naval Postgraduate School Joint Typhoon Warning Center Bureau of Meteorology NOAA/AOML/Hurricane Research Division Naval Research Laboratory Shanghai Typhoon Institute and Laboratory of Typhoon Forecast Technique China Meteorological Administration

This review prepared for the fourth International Workshop on Tropical Cyclone Landfall Processes(IWTCLP-4) summarizes the most recent(2015-2017) theoretical and practical knowledge in the field of tropical cyclone(TC) track, intensity, and structure rapid changes at or near landfall. Although the focus of IWTCLPIV was on landfall, this summary necessarily embraces the characteristics of storms during their course over the ocean prior to and leading up to landfall. In the past few years, extremely valuable observational datasets have been collected for TC forecasting guidance and research studies using both aircraft reconnaissance and new geostationary or low-earth orbiting satellites at high temporal and spatial resolution. Track deflections for systems near complex topography such as that of Taiwan and La Réunion have been further investigated, and advanced numerical models with high spatial resolution necessary to predict the interaction of the TC circulation with steep island topography have been developed. An analog technique has been designed to meet the need for longer range landfall intensity forecast guidance that will provide more time for emergency preparedness. Probabilistic track and intensity forecasts have also been developed to better communicate on forecast uncertainty. Operational practices of several TC forecast centers are described herein and some challenges regarding forecasts and warnings for TCs making landfall are identified. This review concludes with insights from both researchers and forecasters regarding future directions to improve predictions of TC track, intensity, and structure at landfall.

关键词： tropical cyclone track intensity structure landfall rapid intensification rapid changes

Apples to oranges:environmentally derived,dynamic regulation of serotonin neuron subpopulations in adulthood?

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Neural Regeneration Research 2025年第9期20卷 2596-2597页

作者： Christopher J.O’Connell matthew J.Robson Department of Genetics College of MedicineHarvard UniversityBostonMAUSA James L.Winkle College of Pharmacy Division of Pharmaceutical SciencesUniversity of CincinnatiCincinnatiOHUSA Neuroscience Graduate Program College of MedicineUniversity of CincinnatiCincinnatiOHUSA

Traumatic brain injury(TBI)is a public health problem with an undue economic burden that impacts nearly every age,ethnic,and gender group across the globe(Capizzi et al.,2020).TBIs are often sustained during a dynamic range of exposures to energetic environmental forces and as such outcomes are typically heterogeneous regarding severity and pathology(Capizzi et al.,2020).

关键词： sustained orange dynamic

Machine learning in solid organ transplantation:Charting the evolving landscape

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World Journal of Transplantation 2025年第1期15卷 165-177页

作者： Badi Rawashdeh Haneen Al-abdallat Emre Arpali Beje Thomas Ty B Dunn matthew Cooper Division of Transplant Surgery Medical College of WisconsinMilwaukeeWI 53202United States Department of Medicine Jordan University HospitalAmman 11263Jordan Department of Nephrology Medical College of WisconsinMilwaukeeWI 53226United States

BACKGROUND Machine learning(ML),a major branch of artificial intelligence,has not only demonstrated the potential to significantly improve numerous sectors of healthcare but has also made significant contributions to the field of solid organ *** provides revolutionary opportunities in areas such as donorrecipient matching,post-transplant monitoring,and patient care by automatically analyzing large amounts of data,identifying patterns,and forecasting *** To conduct a comprehensive bibliometric analysis of publications on the use of ML in transplantation to understand current research trends and their *** On July 18,a thorough search strategy was used with the Web of Science *** and transplantation-related keywords were *** the aid of the VOS viewer application,the identified articles were subjected to bibliometric variable analysis in order to determine publication counts,citation counts,contributing countries,and institutions,among other *** Of the 529 articles that were first identified,427 were deemed relevant for bibliometric analysis.A surge in publications was observed over the last four years,especially after 2018,signifying growing interest in this *** 209 publications,the United States emerged as the top ***,the"Journal of Heart and Lung Transplantation"and the"American Journal of Transplantation"emerged as the leading journals,publishing the highest number of relevant *** keyword searches revealed that patient survival,mortality,outcomes,allocation,and risk assessment were significant themes of *** The growing body of pertinent publications highlights ML's growing presence in the field of solid organ *** bibliometric analysis highlights the growing importance of ML in transplant research and highlights its exciting potential to change medical practices and enhance patient *** collaboration between signific

关键词： Machine learning Artificial Intelligence Solid organ transplantation Bibliometric analysis

Complement-dependent neuroinflammation in spinal cord injury:from pathology to therapeutic implications

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Neural Regeneration Research 2025年第5期20卷 1324-1335页

作者： Hassan Saad Bachar El Baba Ali Tfaily Firas Kobeissy Juanmarco Gutierrez Gonzalez Daniel Refai Gerald R.Rodts Christian Mustroph David Gimbel Jonathan Grossberg Daniel L.Barrow matthew F.Gary Ali M.Alawieh Department of Neurosurgery Emory University School of MedicineAtlantaGAUSA Department of Neurology Yale UniversityNew HavenCTUSA Center for Neurotrauma Multiomics&Biomarkers(CNMB)Morehouse School of MedicineAtlantaGAUSA

Spinal cord injury remains a major cause of disability in young adults,and beyond acute decompression and rehabilitation,there are no pharmacological treatments to limit the progression of injury and optimize recovery in this *** the thorough investigation of the complement system in triggering and propagating cerebral neuroinflammation,a similar role for complement in spinal neuroinflammation is a focus of ongoing *** this work,we survey the current literature investigating the role of complement in spinal cord injury including the sources of complement proteins,triggers of complement activation,and role of effector functions in the *** study relevant data demonstrating the different triggers of complement activation after spinal cord injury including direct binding to cellular debris,and or activation via antibody binding to damage-associated molecular *** effector functions of complement have been implicated in spinal cord injury,and we critically evaluate recent studies on the dual role of complement anaphylatoxins in spinal cord injury while emphasizing the lack of pathophysiological understanding of the role of opsonins in spinal cord *** this pathophysiological review,we systematically review the different translational approaches used in preclinical models of spinal cord injury and discuss the challenges for future translation into human *** review emphasizes the need for future studies to dissect the roles of different complement pathways in the pathology of spinal cord injury,to evaluate the phases of involvement of opsonins and anaphylatoxins,and to study the role of complement in white matter degeneration and regeneration using translational strategies to supplement genetic models.

关键词： complement neuroinflammation neuroplasticity regeneration spinal cord injury targeted therapy

A MONOTONE DOMAIN DECOMPOSITION ALGORITHM FOR SOLVING WEIGHTED AVERAGE APPROXIMATIONS TO NONLINEAR SINGULARLY PERTURBED PARABOLIC PROBLEMS

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Journal of Computational Mathematics 2008年第1期26卷 76-97页

作者： Igor Boglaev matthew Hardy Institute of Fundamental Sciences Massey UniversityPrivate Bag 11-222Palmerston NorthNew Zealand Mathematical Sciences Institute Australian National UniversityCanberraAustralia 0200

This paper presents and analyzes a monotone domain decomposition algorithm for solving nonlinear singularly perturbed reaction-diffusion problems of parabolic type. To solve the nonlinear weighted average finite difference scheme for the partial differential equation, we construct a monotone domain decomposition algorithm based on a Schwarz alternating method and a box-domain decomposition. This algorithm needs only to solve linear discrete systems at each iterative step and converges monotonically to the exact solution of the nonlinear discrete problem. domain decomposition algorithm is estimated The rate of convergence of the monotone Numerical experiments are presented.

关键词： Parabolic reaction-diffusion problem Boundary layers O-method Monotone domain decomposition algorithm Uniform convergence

Hepatocellular carcinoma recurrence after liver transplant:An Australian single-centre study

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World Journal of Transplantation 2025年第1期15卷 105-114页

作者： matthew G Garas Luis Calzadilla-Bertot Briohny W Smith Luc Delriviere Byron Jaques Lingjun Mou Leon A Adams Gerry C MacQuillan George Garas Gary P Jeffrey Michael C Wallace Medical School University of Western AustraliaNedlands 6009Western AustraliaAustralia Department of Hepatology Sir Charles Gairdner HospitalNedlands 6009Western AustraliaAustralia Department of Surgery Sir Charles Gairdner HospitalNedlands 6009Western AustraliaAustralia

BACKGROUND Hepatocellular carcinoma(HCC)is a leading cause of cancer-related deaths *** transplantation(LT)offers the most effective *** recurrence is the strongest risk factor that decreases post-LT survival in patients transplanted for *** rate of HCC recurrence is generally reported as 8%-20%in the *** predictors of HCC have already been researched,however,to our knowledge there are no published studies on this topic using Australian *** To determine the rate and identify predictors of HCC recurrence in a contemporary Western Australian LT *** We performed a retrospective cohort study of all liver transplants in patients with HCC at Sir Charles Gairdner Hospital between 2006 and *** was collected from various health record databases and included recipient demographics,serum biochemistry,radiology,operation notes,explant histopathology and details of *** survival of HCC patients post-LT,stratified for recurrence,was calculated by Kaplan Meier *** and multivariate Cox regression was used to determine predictors of HCC recurrence *** Between 1/1/2006 and 12/31/2021,119 patients were transplanted with HCC.8.4%of subjects developed recurrent HCC after LT with median follow-up time of 5.4 *** median time to recurrence was 2.9 years±0.75 *** comparing baseline characteristics,a greater proportion of subjects with recurrence had common characteristics on explant histopathology,including>3 viable nodules(P=0.001),vascular invasion(P=0.003)and poorly differentiated HCC(P=0.03).Unadjusted survival curves showed lower 1-year,3-year,5-year and 10-year survival rates in subjects with HCC recurrence compared to those without HCC recurrence(90%vs 92%,70%vs 88%,42%vs 80%,14%vs 76%,respectively;log rank P<0.001).CONCLUSION HCC recurrence was low at 8.4%in this contemporary Australian cohort,however it significantly impacted post-LT *** studies are requir

关键词： Liver cancer Recurrence Liver transplantation Hepatocellular carcinoma Predictors Post-transplant survival Australian data