Observations of Ozone-Poor Air in the Tropical Tropopause Layer
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On the Relationship Between Gravity Waves and Tropopause Height and Temperature Over the Globe Revealed by COSMIC Radio Occultation Measurements
atmosphere Article On the Relationship between Gravity Waves and Tropopause Height and Temperature over the Globe Revealed by COSMIC Radio Occultation Measurements Daocheng Yu 1, Xiaohua Xu 1,2,*, Jia Luo 1,3,* and Juan Li 1 1 School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; [email protected] (D.Y.); [email protected] (J.L.) 2 Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China 3 Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, 129 Luoyu Road, Wuhan 430079, China * Correspondence: [email protected] (X.X.); [email protected] (J.L.); Tel.: +86-27-68758520 (X.X.); +86-27-68778531 (J.L.) Received: 4 January 2019; Accepted: 6 February 2019; Published: 12 February 2019 Abstract: In this study, the relationship between gravity wave (GW) potential energy (Ep) and the tropopause height and temperature over the globe was investigated using COSMIC radio occultation (RO) dry temperature profiles during September 2006 to May 2013. The monthly means of GW Ep with a vertical resolution of 1 km and tropopause parameters were calculated for each 5◦ × 5◦ longitude-latitude grid. The correlation coefficients between Ep values at different altitudes and the tropopause height and temperature were calculated accordingly in each grid. It was found that at middle and high latitudes, GW Ep over the altitude range from lapse rate tropopause (LRT) to several km above had a significantly positive/negative correlation with LRT height (LRT-H)/ LRT temperature (LRT-T) and the peak correlation coefficients were determined over the altitudes of 10–14 km with distinct zonal distribution characteristics. -
Popular Summary of “Extratropical Stratosphere-Troposphere Mass Exchange”
Popular Summary of “Extratropical Stratosphere-Troposphere Mass Exchange” Mark Schoeberl Understanding the exchange of gases between the stratosphere and the troposphere is important for determining how pollutants enter the stratosphere and how they leave. This study does a global analysis of that the exchange of mass between the stratosphere and the troposphere. While the exchange of mass is not the same as the exchange of constituents, you can’t get the constituent exchange right if you have the mass exchange wrong. Thus this kind of calculation is an important test for models which also compute trace gas transport. In this study I computed the mass exchange for two assimilated data sets and a GCM. The models all agree that amount of mass descending from the stratosphere to the troposphere in the Northern Hemisphere extra tropics is -1 0” kg/s averaged over a year. The value for the Southern Hemisphere by about a factor of two. ( 10” kg of air is the amount of air in 100 km x 100 km area with a depth of 100 m - roughly the size of the D.C. metro area to a depth of 300 feet.) Most people have the idea that most of the mass enters the stratosphere through the tropics. But this study shows that almost 5 times more mass enters the stratosphere through the extra-tropics. This mass, however, is quickly recycled out again. Thus the lower most stratosphere is a mixture of upper stratospheric air and tropospheric air. This is an important result for understanding the chemistry of the lower stratosphere. -
NASA Sees Ex-Tropical Cyclone Gillian's Remnants Persist 20 March 2014
NASA sees ex-Tropical Cyclone Gillian's remnants persist 20 March 2014 (PR) instrument revealed that intense convective storms in this area were still dropping rain at a rate of over 97 mm/3.8 inches per hour and returning radar reflectivity values of over 51dBZ. TRMM PR data were used to create a simulated 3-D view that showed the vertical structure of precipitation within the stormy area contained towering thunderstorms. The Joint Typhoon Warning Center noted that animated enhanced satellite imagery on March 20 showed flaring deep convection associated with a slowly-consolidating low-level circulation center. On March 20, the Tropical Cyclone Warning Centre in Jakarta noted that Gillian's remnants had maximum sustained winds near 25 knots/28.7 mph/46.3 kph. It was centered near 9.4 south and 119.0 east, about 233 nautical miles/ 268.1 miles/431.5 km east of South Kuta, Bali, Indonesia. TRMM passed above Gillian's remnants on March 20, TCWC issued watches and warnings for parts of 2014, and this 3-D simulation of TRMM data showed the Indonesia archipelago in Bahasa. several of the tallest thunderstorms in Gillian's remnants were reaching heights of over 15.75 km/9.8 miles. Credit: NASA/SSAI, Hal Pierce NASA's TRMM satellite continues to follow the remnants of former Tropical Cyclone Gillian as it moved from the Southern Pacific Ocean into the Southern Indian Ocean where it appears to be re- organizing. The persistent remnants of tropical cyclone Gillian have moved westward over 2,700 km/1,674 miles since forming in the Gulf of Carpentaria on March 8, 2014. -
The Tropical Tropopause Layer in Reanalysis Data Sets
https://doi.org/10.5194/acp-2019-580 Preprint. Discussion started: 4 July 2019 c Author(s) 2019. CC BY 4.0 License. 1 2 The tropical tropopause layer in reanalysis data sets 3 4 Susann Tegtmeier1, James Anstey2, Sean Davis3, Rossana Dragani4, Yayoi Harada5, Ioana 5 Ivanciu1, Robin Pilch Kedzierski1, Kirstin Krüger6, Bernard Legras7, Craig Long8, James S. 6 Wang9, Krzysztof Wargan10,11, and Jonathon S. Wright12 7 8 9 1 10 GEOMAR Helmholtz Centre for Ocean Research Kiel, 24105 Kiel, Germany 11 2Canadian Centre for Climate Modelling and Analysis, ECCC, Victoria, Canada 12 3Earth System Research Laboratory, National Oceanic and Atmospheric Administration, 13 Boulder, CO 80305, USA 14 4European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK 15 5Japan Meteorological Agency, Tokyo, 100-8122, Japan 16 6 Section for Meteorology and Oceanography, Department of Geosciences, University of Oslo, 17 0315 Oslo, Norway 18 7Laboratoire de Météorologie Dynamique, CNRS/PSL-ENS, Sorbonne University Ecole 19 Polytechnique, France 20 8Climate Prediction Center, National Centers for Environmental Prediction, National Oceanic 21 and Atmospheric Administration, College Park, MD 20740, USA 22 9Institute for Advanced Sustainability Studies, Potsdam, Germany 23 10Science Systems and Applications, Inc., Lanham, MD 20706, USA 24 11Global Modeling and Assimilation Office, Code 610.1, NASA Goddard Space Flight 25 Center, Greenbelt, MD 20771, USA 26 12Department of Earth System Science, Tsinghua University, Beijing, 100084, China 27 28 29 30 31 32 33 34 35 36 37 1 https://doi.org/10.5194/acp-2019-580 Preprint. Discussion started: 4 July 2019 c Author(s) 2019. CC BY 4.0 License. -
ESSENTIALS of METEOROLOGY (7Th Ed.) GLOSSARY
ESSENTIALS OF METEOROLOGY (7th ed.) GLOSSARY Chapter 1 Aerosols Tiny suspended solid particles (dust, smoke, etc.) or liquid droplets that enter the atmosphere from either natural or human (anthropogenic) sources, such as the burning of fossil fuels. Sulfur-containing fossil fuels, such as coal, produce sulfate aerosols. Air density The ratio of the mass of a substance to the volume occupied by it. Air density is usually expressed as g/cm3 or kg/m3. Also See Density. Air pressure The pressure exerted by the mass of air above a given point, usually expressed in millibars (mb), inches of (atmospheric mercury (Hg) or in hectopascals (hPa). pressure) Atmosphere The envelope of gases that surround a planet and are held to it by the planet's gravitational attraction. The earth's atmosphere is mainly nitrogen and oxygen. Carbon dioxide (CO2) A colorless, odorless gas whose concentration is about 0.039 percent (390 ppm) in a volume of air near sea level. It is a selective absorber of infrared radiation and, consequently, it is important in the earth's atmospheric greenhouse effect. Solid CO2 is called dry ice. Climate The accumulation of daily and seasonal weather events over a long period of time. Front The transition zone between two distinct air masses. Hurricane A tropical cyclone having winds in excess of 64 knots (74 mi/hr). Ionosphere An electrified region of the upper atmosphere where fairly large concentrations of ions and free electrons exist. Lapse rate The rate at which an atmospheric variable (usually temperature) decreases with height. (See Environmental lapse rate.) Mesosphere The atmospheric layer between the stratosphere and the thermosphere. -
Smoke Haze Trigger Factors in the Malaysia Indonesian Border
Utopía y Praxis Latinoamericana ISSN: 1315-5216 ISSN: 2477-9555 [email protected] Universidad del Zulia Venezuela Smoke Haze Trigger Factors in the Malaysia Indonesian Border MUADI, SHOLIH Smoke Haze Trigger Factors in the Malaysia Indonesian Border Utopía y Praxis Latinoamericana, vol. 26, no. Esp.1, 2021 Universidad del Zulia, Venezuela Available in: https://www.redalyc.org/articulo.oa?id=27966119036 DOI: https://doi.org/10.5281/zenodo.4556305 This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. PDF generated from XML JATS4R by Redalyc Project academic non-profit, developed under the open access initiative SHOLIH MUADI. Smoke Haze Trigger Factors in the Malaysia Indonesian Border Artículos Smoke Haze Trigger Factors in the Malaysia Indonesian Border Factores desencadenantes de la neblina de humo en la frontera de Malasia e Indonesia SHOLIH MUADI DOI: https://doi.org/10.5281/zenodo.4556305 Brawijaya University, Indonesia Redalyc: https://www.redalyc.org/articulo.oa? [email protected] id=27966119036 https://orcid.org/0000-0002-9263-5526 Received: 12 December 2020 Accepted: 15 February 2021 Abstract: e purpose of this study was to analyze the haze incidence and trigger factors at the border between Indonesia and Malaysia. e results of the study reveal that the Biggest Factor Triggering the Haze Disaster is that forest and land fires are mostly caused by human behavior, whether intentional or as a result of negligence. Only a small part is caused by nature (lightning or volcanic lava). In the event of forest fires and natural disasters, 99% of incidents in Indonesia are caused by human factors, either intentionally or negligently. -
Tropical Tropopause Layer
Click Here for Full Article TROPICAL TROPOPAUSE LAYER S. Fueglistaler,1 A. E. Dessler,2 T. J. Dunkerton,3 I. Folkins,4 Q. Fu,5 and P. W. Mote3 Received 4 March 2008; revised 16 September 2008; accepted 14 October 2008; published 17 February 2009. [1] Observations of temperature, winds, and atmospheric 70 hPa, 425 K, 18.5 km. Laterally, the TTL is bounded by trace gases suggest that the transition from troposphere to the position of the subtropical jets. We highlight recent stratosphere occurs in a layer, rather than at a sharp progress in understanding of the TTL but emphasize that a ‘‘tropopause.’’ In the tropics, this layer is often called the number of processes, notably deep, possibly overshooting ‘‘tropical tropopause layer’’ (TTL). We present an overview convection, remain not well understood. The TTL acts in of observations in the TTL and discuss the radiative, many ways as a ‘‘gate’’ to the stratosphere, and dynamical, and chemical processes that lead to its time- understanding all relevant processes is of great importance varying, three-dimensional structure. We present a synthesis for reliable predictions of future stratospheric ozone and definition with a bottom at 150 hPa, 355 K, 14 km climate. (pressure, potential temperature, and altitude) and a top at Citation: Fueglistaler, S., A. E. Dessler, T. J. Dunkerton, I. Folkins, Q. Fu, and P. W. Mote (2009), Tropical tropopause layer, Rev. Geophys., 47, RG1004, doi:10.1029/2008RG000267. 1. INTRODUCTION [3] This paper examines and discusses observations in the TTL and the processes that contribute to its unique [2] The traditional definitions of the troposphere and properties. -
Analysis of Tropopause Variability in Observations and in an Idealized Model
UNIVERSIDAD COMPLUTENSE DE MADRID FACULTAD DE CIENCIAS FÍSICAS Departamento de Física de la Tierra, Astronomía y Astrofísica I (Geofísica y Meteorología) TESIS DOCTORAL Analysis of tropopause variability in observations and in an idealized model Análisis de la variabilidad de la tropopausa en observaciones y en un modelo idealizado MEMORIA PARA OPTAR AL GRADO DE DOCTOR PRESENTADA POR Jesús Ángel Barroso Pellico Director Pablo Zurita Gotor Madrid, 2018 © Jesús Ángel Barroso Pellico, 2017 Universidad Complutense de Madrid Facultad de Ciencias Físicas Departamento de Física de la Tierra, Astronomía y Astrofísica I (Geofísica y Meteorología) Analysis of tropopause variability in observations and in an idealized model Análisis de la variabilidad de la tropopausa en observaciones y en un modelo idealizado Memoria para optar al grado de doctor presentada por Jesús Ángel Barroso Pellico Director: Pablo Zurita Gotor III IV Contents Summary.......................................................................................................... VII Resumen.......................................................................................................... XI List of abbreviations......................................................................................... XIV 1. Introduction and objectives.................................................................................. 1 1.1 Properties of the tropopause.......................................................................................3 1.1.1 Definitions of the tropopause........................................................................ -
Customer Service Advice from Telstra
Customer Service Advice from Telstra Extreme Weather events impact service in Peninsula and Gulf Country Districts of Queensland. Telstra is working to manage the significant impact to Telstra services that has occurred as a result of a series of extreme weather events in the Peninsula and Gulf Country regions of Queensland on or about Monday 10 March 2014 through to Thursday 13 March 2014. Due to the effect of damage to the Telstra telecommunications network by Ex Tropical Cyclone Gillian, there has been a significant increase in the number of Telstra services being reported as faulty. As a result, there has been some disruption to service and delays to normal installation and repair activities. Telstra apologises to any affected customers. Information as to the nature of these severe weather events can be sourced from the Bureau of Meteorology (BOM). Heavy rainfall, some flooding and damaging winds are referred to in the BOM Severe Weather Warning issued for 10 March 2014 initially at 1:47 am EST on Monday 10 March 2014; all of which were widely reported in the news media after the events. Telstra has identified that the effect of these circumstances may apply to approximately 200 services. Some of these services may not be installed or repaired within Telstra’s standard time frames. The number of possibly affected services may increase or decrease as Telstra assesses the full effect of the extreme weather conditions. Based on current information, the resumption date of Telstra’s normal service operations is expected to be 4 April 2014. This date is indicative only, however, and may be subject to change once the full impact of the extreme weather conditions has been assessed. -
Monthly Report January 2018 FINAL
Q R A Monthly Report January 2018 www.qldreconstrucon.org.au Monthly Report ‐ January 2018 1 Document details: Security classificaon Public Date of review of security classificaon January 2018 Authority Queensland Reconstrucon Authority Author Chief Execuve Officer Document status Final Version 1.0 Contact for Enquiries: All enquiries regarding this document should be directed to: Queensland Reconstrucon Authority Phone the call centre ‐ 1800 110 841 Mailing Address Queensland Reconstrucon Authority PO Box 15428 City East Q 4002 Alternavely, contact the Queensland Reconstrucon Authority by emailing [email protected] Licence This material is licensed by the State of Queensland under a Creave Commons Aribuon (CC BY) 4.0 Internaonal licence. CC BY License Summary Statement To view a copy of the licence visit hp://creavecommons.org/licenses/by/4.0/ The Queensland Reconstrucon Authority requests aribuon in the following manner: © The State of Queensland (Queensland Reconstrucon Authority) 2017. Informaon security This document has been classified using the Queensland Government Informaon Security Classificaon Framework (QGISCF) Monthly Report ‐ January 2018 2 www.qldreconstrucon.org.au Message from the Chief Execuve Officer Major General Richard Wilson AO (Ret’d) Chairman Queensland Reconstrucon Authority Dear Major General Wilson It is with pleasure that I present the January 2018 Monthly Report – the 83rd report to the Board of the Queensland Reconstrucon Authority (QRA). QRA was established under the Queensland Reconstrucon Authority Act 2011 (the Act) following the unprecedented natural disasters that struck Queensland over the summer months of 2010‐11. QRA is charged with helping Queensland communies effecvely and efficiently recover from the impacts of natural disasters through managing and coordinang the Queensland Government’s program of infrastructure renewal and recovery within disaster‐affected communies and being the state’s lead agency responsible for disaster recovery, resilience and migaon policy. -
Local Disaster Management Plan
LOCAL DISASTER MANAGEMENT PLAN Prepared under the provisions of the Disaster Management Act 2003, ss.57(1) & 58 Endorsed on 25th September 2019 WEIPA TOWN AUTHORITY LOCAL DISASTER MANAGEMENT ARRANGEMENTS 2019 CONTENTS 1 FOREWORD ......................................................................................................................... 2 2 AUTHORITY FOR PLANNING ................................................................................................. 8 3 APPROVAL ........................................................................................................................... 8 4 AMENDMENT REGISTER ....................................................................................................... 9 5 DISTRIBUTION LIST ............................................................................................................. 10 6 DEFINITIONS ...................................................................................................................... 11 7 REFERENCE DOCUMENTS ................................................................................................... 14 8 ABBREVIATIONS ................................................................................................................. 15 9 THE DISASTER MANAGEMENT STRUCTURE IN QUEENSLAND .............................................. 16 10 THE LOCAL GOVERNMENT DISASTER MANAGEMENT PLANNING PROCESS ...................... 18 10.1 AUTHORITY TO PLAN .............................................................................................................. -
Comparison of RO Tropopause Height Based on Different
https://doi.org/10.5194/amt-2019-379 Preprint. Discussion started: 30 October 2019 c Author(s) 2019. CC BY 4.0 License. Comparison of RO tropopause height based on different tropopause determination methods Ziyan Liu1,2,3, Weihua Bai1,2*, Yueqiang Sun1,2*, Junming Xia1,2, Guangyuan Tan1,2,3, Cheng Cheng4, Qifei Du1,2, Xianyi Wang1,2, Danyang Zhao1,2, Yusen Tian1,2,3, Xiangguang Meng1,2, Congliang Liu1,2, 5 Yuerong Cai1,2, Dongwei Wang1,2 1National Space Science Centre, Chinese Academy of Sciences (NSSC/CAS), Beijing 100190, China; 2Beijing Key Laboratory of Space Environment Exploration, Beijing 100190, China 3University of Chinese Academy of Sciences, Beijing 100049, China 4State Intellectual Property Office of the P.R.C, Beijing 100088, China 10 Correspondence to: Weihua Bai ([email protected]) and Yueqiang Sun ([email protected]) Abstract. Tropopause region is a significant layer among the earth’s atmosphere, receiving increasing attention from atmosphere and climate researchers. To monitor global tropopause via radio occultation (RO) data, there are mainly two methods, one is the widely used temperature lapse rate method, and the other is bending angle covariance transform method. In this paper, we use FengYun3-C (FY3C) and Meteorological Operational Satellite Program (MetOp) RO data and European 15 Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data to analyse the difference of RO tropopause height calculated by the two methods mentioned above. To give an objective and complete analysis, we first take ECMWF lapse rate tropopause (LRT) height (LRTH) as reference to discuss the absolute bias of RO LRTH and RO bending angle tropopause (BAT) height (BATH), and then give the comparison results between RO LRTH and corresponding RO BATH as supplement to analyse the difference between tropopause height derived from the above two methods.