Atmospheric Characteristics Favorable for the Development of Mesoscale Convective Complexes in Southern Brazil
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Water Vapour Transport to the High Latitudes: Mechanisms And
Water vapour transport to the high latitudes : mechanisms and variability from reanalyses and radiosoundings Ambroise Dufour To cite this version: Ambroise Dufour. Water vapour transport to the high latitudes : mechanisms and variability from reanalyses and radiosoundings. Earth Sciences. Université Grenoble Alpes, 2016. English. NNT : 2016GREAU042. tel-01562031 HAL Id: tel-01562031 https://tel.archives-ouvertes.fr/tel-01562031 Submitted on 13 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE Pour obtenir le grade de DOCTEUR DE L’UNIVERSITÉ DE GRENOBLE Spécialité : Sciences de la Terre et de l’Environnement Arrêté ministériel : 7 août 2006 Présentée par Ambroise DUFOUR Thèse dirigée par Olga ZOLINA préparée au sein du Laboratoire de Glaciologie et Géophysique de l’Environnement et de l’École Doctorale Terre, Univers, Environnement Transport de vapeur d’eau vers les hautes latitudes Mécanismes et variabilité d’après réanalyses et radiosondages Soutenue le 24 mars 2016, devant le jury composé de : M. Christophe GENTHON Directeur de recherche, LGGE, Président M. Stefan BRÖNNIMANN Professeur, Université de Berne, Rapporteur M. Richard P. ALLAN Professeur, Université de Reading, Rapporteur Mme Valérie MASSON-DELMOTTE Directrice de recherche, LSCE, Examinatrice M. -
Soaring Weather
Chapter 16 SOARING WEATHER While horse racing may be the "Sport of Kings," of the craft depends on the weather and the skill soaring may be considered the "King of Sports." of the pilot. Forward thrust comes from gliding Soaring bears the relationship to flying that sailing downward relative to the air the same as thrust bears to power boating. Soaring has made notable is developed in a power-off glide by a conven contributions to meteorology. For example, soar tional aircraft. Therefore, to gain or maintain ing pilots have probed thunderstorms and moun altitude, the soaring pilot must rely on upward tain waves with findings that have made flying motion of the air. safer for all pilots. However, soaring is primarily To a sailplane pilot, "lift" means the rate of recreational. climb he can achieve in an up-current, while "sink" A sailplane must have auxiliary power to be denotes his rate of descent in a downdraft or in come airborne such as a winch, a ground tow, or neutral air. "Zero sink" means that upward cur a tow by a powered aircraft. Once the sailcraft is rents are just strong enough to enable him to hold airborne and the tow cable released, performance altitude but not to climb. Sailplanes are highly 171 r efficient machines; a sink rate of a mere 2 feet per second. There is no point in trying to soar until second provides an airspeed of about 40 knots, and weather conditions favor vertical speeds greater a sink rate of 6 feet per second gives an airspeed than the minimum sink rate of the aircraft. -
Moisture Transport in Observations and Reanalyses As a Proxy for Snow
Moisture transport in observations and reanalyses as a proxy for snow accumulation in East Antarctica Ambroise DufourIGE, Claudine CharrondièreIGE, and Olga ZolinaIGE, IORAS IGEInstitut des Géosciences de l’Environnement, CNRS/UGA, Grenoble, France IORASP. P. Shirshov Institute of Oceanology, Russian Academy of Science, Moscow, Russia Correspondence to: Ambroise DUFOUR ([email protected]) Abstract. Atmospheric moisture convergence on ice-sheets provides an estimate of snow accumulation which is critical to quantify sea level changes. In the case of East Antarctica, we computed moisture transport from 1980 to 2016 in five reanalyses and in radiosonde observations. Moisture convergence in reanalyses is more consistent than net preciptation but still ranges from 72 5 to 96 mm per year in the four most recent reanalyses, ERA Interim, NCEP CFSR, JRA 55 and MERRA 2. The representation of long term variability in reanalyses is also inconsistent which justified the resort to observations. Moisture fluxes are measured on a daily basis via radiosondes launched from a network of stations surrounding East Antarc- tica. Observations agree with reanalyses on the major role of extreme advection events and transient eddy fluxes. Although assimilated, the observations reveal processes reanalyses cannot model, some due to a lack of horizontal and vertical resolu- 10 tion especially the oldest, NCEP DOE R2. Additionally, the observational time series are not affected by new satellite data unlike reanalyses. We formed pan-continental estimates of convergence by aggregating anomalies from all available stations. We found statistically significant trends neither in moisture convergence nor in precipitable water. 1 Introduction East Antarctica stores the equivalent of 53.3 m of sea level rise out of the 58.3 for the whole continent (Fretwell et al., 2013). -
Seasonal Cycle of Idealized Polar Clouds: Large Eddy
ESSOAr | https://doi.org/10.1002/essoar.10503204.1 | CC_BY_NC_ND_4.0 | First posted online: Tue, 9 Jun 2020 15:35:29 | This content has not been peer reviewed. manuscript submitted to Journal of Advances in Modeling Earth Systems 1 Seasonal cycle of idealized polar clouds: large eddy 2 simulations driven by a GCM 1 2;3 2 4 3 Xiyue Zhang , Tapio Schneider , Zhaoyi Shen , Kyle G. Pressel , and Ian 5 4 Eisenman 1 5 National Center for Atmospheric Research, Boulder, Colorado, USA 2 6 California Institute of Technology, Pasadena, California, USA 3 7 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA 4 8 Pacific Northwest National Labratory, Richland, Washington, USA 5 9 Scripps Institution of Oceanography, University of California, San Diego, California, USA 10 Key Points: 11 • LES driven by time-varying large-scale forcing from an idealized GCM is used to 12 simulate the seasonal cycle of Arctic clouds 13 • Simulated low-level cloud liquid is maximal in late summer to early autumn, and 14 minimal in winter, consistent with observations 15 • Large-scale advection provides the main moisture source for cloud liquid and shapes 16 its seasonal cycle Corresponding author: X. Zhang, [email protected] {1{ ESSOAr | https://doi.org/10.1002/essoar.10503204.1 | CC_BY_NC_ND_4.0 | First posted online: Tue, 9 Jun 2020 15:35:29 | This content has not been peer reviewed. manuscript submitted to Journal of Advances in Modeling Earth Systems 17 Abstract 18 The uncertainty in polar cloud feedbacks calls for process understanding of the cloud re- 19 sponse to climate warming. -
HS Science Distance Learning Activities
HS Science (Earth Science/Physics) Distance Learning Activities TULSA PUBLIC SCHOOLS Dear families, These learning packets are filled with grade level activities to keep students engaged in learning at home. We are following the learning routines with language of instruction that students would be engaged in within the classroom setting. We have an amazing diverse language community with over 65 different languages represented across our students and families. If you need assistance in understanding the learning activities or instructions, we recommend using these phone and computer apps listed below. Google Translate • Free language translation app for Android and iPhone • Supports text translations in 103 languages and speech translation (or conversation translations) in 32 languages • Capable of doing camera translation in 38 languages and photo/image translations in 50 languages • Performs translations across apps Microsoft Translator • Free language translation app for iPhone and Android • Supports text translations in 64 languages and speech translation in 21 languages • Supports camera and image translation • Allows translation sharing between apps 3027 SOUTH NEW HAVEN AVENUE | TULSA, OKLAHOMA 74114 918.746.6800 | www.tulsaschools.org TULSA PUBLIC SCHOOLS Queridas familias: Estos paquetes de aprendizaje tienen actividades a nivel de grado para mantener a los estudiantes comprometidos con la educación en casa. Estamos siguiendo las rutinas de aprendizaje con las palabras que se utilizan en el salón de clases. Tenemos una increíble -
Extratropical Cyclones and Anticyclones
© Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION Courtesy of Jeff Schmaltz, the MODIS Rapid Response Team at NASA GSFC/NASA Extratropical Cyclones 10 and Anticyclones CHAPTER OUTLINE INTRODUCTION A TIME AND PLACE OF TRAGEDY A LiFE CYCLE OF GROWTH AND DEATH DAY 1: BIRTH OF AN EXTRATROPICAL CYCLONE ■■ Typical Extratropical Cyclone Paths DaY 2: WiTH THE FI TZ ■■ Portrait of the Cyclone as a Young Adult ■■ Cyclones and Fronts: On the Ground ■■ Cyclones and Fronts: In the Sky ■■ Back with the Fitz: A Fateful Course Correction ■■ Cyclones and Jet Streams 298 9781284027372_CH10_0298.indd 298 8/10/13 5:00 PM © Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION Introduction 299 DaY 3: THE MaTURE CYCLONE ■■ Bittersweet Badge of Adulthood: The Occlusion Process ■■ Hurricane West Wind ■■ One of the Worst . ■■ “Nosedive” DaY 4 (AND BEYOND): DEATH ■■ The Cyclone ■■ The Fitzgerald ■■ The Sailors THE EXTRATROPICAL ANTICYCLONE HIGH PRESSURE, HiGH HEAT: THE DEADLY EUROPEAN HEAT WaVE OF 2003 PUTTING IT ALL TOGETHER ■■ Summary ■■ Key Terms ■■ Review Questions ■■ Observation Activities AFTER COMPLETING THIS CHAPTER, YOU SHOULD BE ABLE TO: • Describe the different life-cycle stages in the Norwegian model of the extratropical cyclone, identifying the stages when the cyclone possesses cold, warm, and occluded fronts and life-threatening conditions • Explain the relationship between a surface cyclone and winds at the jet-stream level and how the two interact to intensify the cyclone • Differentiate between extratropical cyclones and anticyclones in terms of their birthplaces, life cycles, relationships to air masses and jet-stream winds, threats to life and property, and their appearance on satellite images INTRODUCTION What do you see in the diagram to the right: a vase or two faces? This classic psychology experiment exploits our amazing ability to recognize visual patterns. -
Observational Study of a Diurnal Mesoscale Convective Complex
CRARP 25-02 OBSERVATIONAL STUDY OF A DIURNAL MESOSCALE CONVECTIVE COMPLEX David Novak1 and Edward Shimon National Weather Service Forecasting Office Duluth, Minnesota 1. Introduction The Mesoscale Convective Complex (MCC) has been described by Maddox (1980), Bosart and Sanders (1981), and Maddox (1983) as a unique class of intense convection organized on the meso-alpha scale, which occurs primarily in the central United States during the convective season. Fritsch et al. (1981) and Wetzel (1983) showed that MCCs produce locally intense rainfall, large hail, and damaging winds, requiring coincident operational warnings of both severe weather and flash flooding. In contrast to most convection MCCs are distinctly nocturnal (Maddox 1983). Augustine and Caracena (1994) as well as McAnelly and Cotton (1986) have shown that MCCs commence from afternoon thunderstorms in the western Great Plains that organize and continue to develop at night into MCCs. Physically, this nocturnal preference has been linked to the Low Level Jet (LLJ) (Maddox 1980; Wetzel 1983; Maddox 1983), which enhances warm air advection and the flux of moist, unstable air into the system. Composites from Maddox (1983) confirm that MCCs reach maximum size around local midnight, corresponding with the strongest LLJ, and weaken during the morning hours when the LLJ typically weakens (Fig. 1). In contrast to this widely confirmed characteristic of MCCs, convection on 14 August 2000 organized during the early morning in eastern North Dakota, reached maximum intensity and organization during the day across northern Minnesota and northern Wisconsin, and then slowly weakened during the early morning hours of 15 August in central Wisconsin. -
Oak Lawn Tornado 1967 an Analysis of the Northern Illinois Tornado Outbreak of April 21St, 1967 Oak Lawn History
Oak Lawn Tornado 1967 An analysis of the Northern Illinois Tornado Outbreak of April 21st, 1967 Oak Lawn History • First Established in the 1840s and 1850s • School house first built in 1860 • Immigrants came after the civil war • Post office first established in 1882 • Innovative development plan began in 1927 • Population exponentially grew up to the year of 1967 Path of the Storm • The damage path spanned from Palos, Illinois (about 2-3 miles west/southwest of Oak Lawn) to Lake Michigan. With the worst damage occurring in the Oak Lawn area. Specifically, the corner of 95th street and Southwest Highway • Other places that received Significant damage includes: 89th and Kedzie Avenue 88th and California Avenue Near the Dan Ryan at 83rd Street Timing (All times below are in CST on April 21st, 1967) • 8 AM – Thunderstorms develop around the borders of Iowa, Nebraska, Kansas, and Missouri • 4:45 PM – Cell is first indicated on radar (18 miles west/northwest of Joliet) • 5:15 PM – rotating clouds reported 10 miles north of Joliet • 5:18 PM – Restaurant at the corner of McCarthy Road and 127th Street had their windows blown out • 5:24 PM – Funnel Cloud reported (Touchdown confirmed) • 5:26 PM – Storm continues Northeast and crosses Roberts Road between 101st and 102nd streets • 5:32 PM - Tornado cause worst damage at 95th street and Southwest highway • 5:33 PM – Tornado causes damage to Hometown City Hall • 5:34 PM – Tornado passes grounds of Beverly Hills Country Club • 5:35 PM – Tornado crosses Dan Ryan Expressway and flips over a semi • 5:39 PM – Tornado passes Filtration plant at 78th and Lake Michigan and Dissipates Notable Areas Destroyed •Fairway Supermarket •Sherwood Restaurant •Shoot’s Lynwood Tavern •Suburban Bus Terminal •Airway Trailer Park •Oak Lawn Roller Rink •Plenty More! Pictures to the right were taken BEFORE the twister 52 Total Tornadoes in 6 states (5 EF4’s including the Oak Lawn, Belvidere, and Lake Zurich Tornadoes) Oak Lawn Tornado Blue = EF4 Next several slides summary • The next several slides, I will be going through different parameters. -
The Interactions Between a Midlatitude Blocking Anticyclone and Synoptic-Scale Cyclones That Occurred During the Summer Season
502 MONTHLY WEATHER REVIEW VOLUME 126 NOTES AND CORRESPONDENCE The Interactions between a Midlatitude Blocking Anticyclone and Synoptic-Scale Cyclones That Occurred during the Summer Season ANTHONY R. LUPO AND PHILLIP J. SMITH Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana 20 September 1996 and 2 May 1997 ABSTRACT Using the Goddard Laboratory for Atmospheres Goddard Earth Observing System 5-yr analyses and the Zwack±Okossi equation as the diagnostic tool, the horizontal distribution of the dynamic and thermodynamic forcing processes contributing to the maintenance of a Northern Hemisphere midlatitude blocking anticyclone that occurred during the summer season were examined. During the development of this blocking anticyclone, vorticity advection, supported by temperature advection, forced 500-hPa height rises at the block center. Vorticity advection and vorticity tilting were also consistent contributors to height rises during the entire life cycle. Boundary layer friction, vertical advection of vorticity, and ageostrophic vorticity tendencies (during decay) consistently opposed block development. Additionally, an analysis of this blocking event also showed that upstream precursor surface cyclones were not only important in block development but in block maintenance as well. In partitioning the basic data ®elds into their planetary-scale (P) and synoptic-scale (S) components, 500-hPa height tendencies forced by processes on each scale, as well as by interactions (I) between each scale, were also calculated. Over the lifetime of this blocking event, the S and P processes were most prominent in the blocked region. During the formation of this block, the I component was the largest and most consistent contributor to height rises at the center point. -
A Simple Moisture Advection Model of Specific Humidity
1NOVEMBER 2016 C HADWICK ET AL. 7613 A Simple Moisture Advection Model of Specific Humidity Change over Land in Response to SST Warming ROBIN CHADWICK,PETER GOOD, AND KATE WILLETT Met Office Hadley Centre, Exeter, United Kingdom (Manuscript received 24 March 2016, in final form 25 July 2016) ABSTRACT A simple conceptual model of surface specific humidity change (Dq) over land is described, based on the effect of increased moisture advection from the oceans in response to sea surface temperature (SST) warming. In this model, future q over land is determined by scaling the present-day pattern of land q by the fractional increase in the oceanic moisture source. Simple model estimates agree well with climate model projections of future Dq (mean spatial correlation coefficient 0.87), so Dq over both land and ocean can be viewed primarily as a thermodynamic process controlled by SST warming. Precipitation change (DP) is also affected by Dq, and the new simple model can be included in a decomposition of tropical precipitation change, where it provides increased physical understanding of the processes that drive DP over land. Confidence in the thermodynamic part of extreme precipitation change over land is increased by this improved understanding, and this should scale approximately with Clausius–Clapeyron oceanic q increases under SST warming. Residuals of actual climate model Dq from simple model estimates are often associated with regions of large circulation change, and can be thought of as the ‘‘dynamical’’ part of specific humidity change. The simple model is used to explore intermodel uncertainty in Dq, and there are substantial contributions to uncertainty from both the thermodynamic (simple model) and dynamical (residual) terms. -
OBSERVATIONAL ANALYSIS of the PREDICTABILITY of MESOSCALE CONVECTIVE SYSTEMS by Israel L
National Science Foundation Graduate Fellowship DGE-0234615 and Grant ATM-0324324 OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS by Israel L. Jirak William R. Cotton, P.I. OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS by Israel L. Jirak Department of Atmospheric Science Colorado State University Fort Collins, Colorado 80523 Research Supported by National Science Foundation under a Graduate Fellowship DGE-0234615 and Grant ATM-0324324 October 27, 2006 Atmospheric Science Paper No. 778 ABSTRACT OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS Mesoscale convective systems (MCSs) have a large influence on the weather over the central United States during the warm season by generating essential rainfall and severe weather. To gain insight into the predictability of these systems, the precursor environment of several hundred MCSs were thoroughly studied across the U.S. during the warm seasons of 1996-98. Surface analyses were used to identify triggering mechanisms for each system, and North American Regional Reanalyses (NARR) were used to examine dozens of parameters prior to MCS development. Statistical and composite analyses of these parameters were performed to extract valuable information about the environments in which MCSs form. Similarly, environments that are unable to support organized convective systems were also carefully investigated for comparison with MCS precursor environments. The analysis of these distinct environmental conditions led to the discovery of significant differences between environments that support MCS development and those that do not support convective organization. MCSs were most commonly initiated by frontal boundaries; however, such features that enhance convective initiation are often not sufficient for MCS development, as the environment needs to lend additional support for the development and organization oflong-lived convective systems. -
Synoptic Meteorology
Lecture Notes on Synoptic Meteorology For Integrated Meteorological Training Course By Dr. Prakash Khare Scientist E India Meteorological Department Meteorological Training Institute Pashan,Pune-8 186 IMTC SYLLABUS OF SYNOPTIC METEOROLOGY (FOR DIRECT RECRUITED S.A’S OF IMD) Theory (25 Periods) ❖ Scales of weather systems; Network of Observatories; Surface, upper air; special observations (satellite, radar, aircraft etc.); analysis of fields of meteorological elements on synoptic charts; Vertical time / cross sections and their analysis. ❖ Wind and pressure analysis: Isobars on level surface and contours on constant pressure surface. Isotherms, thickness field; examples of geostrophic, gradient and thermal winds: slope of pressure system, streamline and Isotachs analysis. ❖ Western disturbance and its structure and associated weather, Waves in mid-latitude westerlies. ❖ Thunderstorm and severe local storm, synoptic conditions favourable for thunderstorm, concepts of triggering mechanism, conditional instability; Norwesters, dust storm, hail storm. Squall, tornado, microburst/cloudburst, landslide. ❖ Indian summer monsoon; S.W. Monsoon onset: semi permanent systems, Active and break monsoon, Monsoon depressions: MTC; Offshore troughs/vortices. Influence of extra tropical troughs and typhoons in northwest Pacific; withdrawal of S.W. Monsoon, Northeast monsoon, ❖ Tropical Cyclone: Life cycle, vertical and horizontal structure of TC, Its movement and intensification. Weather associated with TC. Easterly wave and its structure and associated weather. ❖ Jet Streams – WMO definition of Jet stream, different jet streams around the globe, Jet streams and weather ❖ Meso-scale meteorology, sea and land breezes, mountain/valley winds, mountain wave. ❖ Short range weather forecasting (Elementary ideas only); persistence, climatology and steering methods, movement and development of synoptic scale systems; Analogue techniques- prediction of individual weather elements, visibility, surface and upper level winds, convective phenomena.