Weather Observation and Analysis John Nielsen-Gammon Course Notes
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A Comparison of Precipitation from Maritime and Continental Air
254 BULLETIN AMERICAN METEOROLOGICAL SOCIETY A Comparison of Precipitation from Maritime and Continental Air GEORGE S. BENTON 1 and ROBERT T. BLACKBURN 2 OR many decades, knowledge of atmospheric These 123 periods of precipitation for 1946 were F movements of water vapor has lagged behind grouped as indicated below. Classifications for other phases of meteorological information. In which precipitation was necessarily from maritime recent years, however, the accumulation of upper- air are marked with an asterisk; classifications for air data has stimulated hydrometeorological re- which precipitation was necessarily from contin- search. One interesting problem considered has ental air are marked with a double asterisk. For been the source of precipitation classified accord- all other classifications, precipitation may have ing to air mass. occurred either from maritime or continental air, In 1937 Holzman [2] advanced the hypothesis depending upon the individual circumstances. that the great majority of precipitation comes from maritime air masses. Although meteorologists I. Cold front have generally been willing to accept this hypothe- A. Pre-frontal precipitation sis on the basis of their qualitative familiarity with *1. MT present throughout tropo- atmospheric phenomena, little has been done to sphere determine quantitatively the percentage of pre- **2. cP present throughout tropo- cipitation which can actually be traced to maritime sphere air. Certainly the precipitation from continental 3. MT overriding cP in warm sec- air masses must be measurable and must vary in tor importance from region to region. B. Post-frontal precipitation In the course of an analysis of the role of the 1. MT overriding cP atmosphere in the hydrologic cycle [1], the au- *a. -
Air Masses and Fronts
CHAPTER 4 AIR MASSES AND FRONTS Temperature, in the form of heating and cooling, contrasts and produces a homogeneous mass of air. The plays a key roll in our atmosphere’s circulation. energy supplied to Earth’s surface from the Sun is Heating and cooling is also the key in the formation of distributed to the air mass by convection, radiation, and various air masses. These air masses, because of conduction. temperature contrast, ultimately result in the formation Another condition necessary for air mass formation of frontal systems. The air masses and frontal systems, is equilibrium between ground and air. This is however, could not move significantly without the established by a combination of the following interplay of low-pressure systems (cyclones). processes: (1) turbulent-convective transport of heat Some regions of Earth have weak pressure upward into the higher levels of the air; (2) cooling of gradients at times that allow for little air movement. air by radiation loss of heat; and (3) transport of heat by Therefore, the air lying over these regions eventually evaporation and condensation processes. takes on the certain characteristics of temperature and The fastest and most effective process involved in moisture normal to that region. Ultimately, air masses establishing equilibrium is the turbulent-convective with these specific characteristics (warm, cold, moist, transport of heat upwards. The slowest and least or dry) develop. Because of the existence of cyclones effective process is radiation. and other factors aloft, these air masses are eventually subject to some movement that forces them together. During radiation and turbulent-convective When these air masses are forced together, fronts processes, evaporation and condensation contribute in develop between them. -
Weather and Climate: Changing Human Exposures K
CHAPTER 2 Weather and climate: changing human exposures K. L. Ebi,1 L. O. Mearns,2 B. Nyenzi3 Introduction Research on the potential health effects of weather, climate variability and climate change requires understanding of the exposure of interest. Although often the terms weather and climate are used interchangeably, they actually represent different parts of the same spectrum. Weather is the complex and continuously changing condition of the atmosphere usually considered on a time-scale from minutes to weeks. The atmospheric variables that characterize weather include temperature, precipitation, humidity, pressure, and wind speed and direction. Climate is the average state of the atmosphere, and the associated characteristics of the underlying land or water, in a particular region over a par- ticular time-scale, usually considered over multiple years. Climate variability is the variation around the average climate, including seasonal variations as well as large-scale variations in atmospheric and ocean circulation such as the El Niño/Southern Oscillation (ENSO) or the North Atlantic Oscillation (NAO). Climate change operates over decades or longer time-scales. Research on the health impacts of climate variability and change aims to increase understanding of the potential risks and to identify effective adaptation options. Understanding the potential health consequences of climate change requires the development of empirical knowledge in three areas (1): 1. historical analogue studies to estimate, for specified populations, the risks of climate-sensitive diseases (including understanding the mechanism of effect) and to forecast the potential health effects of comparable exposures either in different geographical regions or in the future; 2. studies seeking early evidence of changes, in either health risk indicators or health status, occurring in response to actual climate change; 3. -
The California Low-Level Coastal Jet and Nearshore Stratocumulus
Calhoun: The NPS Institutional Archive Faculty and Researcher Publications Faculty and Researcher Publications 2001 The California Low-Level Coastal Jet and Nearshore Stratocumulus Kalogiros, John http://hdl.handle.net/10945/34433 1.1 THE CALIFORNIA LOW-LEVEL COASTAL JET AND NEARSHORE STRATOCUMULUS John Kalogiros and Qing Wang* Naval Postgraduate School, Monterey, California 1. INTRODUCTION* and the warm air above land (thermal wind) and the frictional effect within the atmospheric This observational study focus on the boundary layer (Zemba and Friehe 1987, Burk and interaction between the coastal wind field and the Thompson 1996). The horizontal temperature evolution of the coastal stratocumulus clouds. The gradient follows the orientation of the coastline data were collected during an experiment in the (317° on the average in central California). Thus, summer of 1999 near the California coast with the the thermal wind has a northern and an eastern Twin Otter research aircraft operated by the component and local maximum of both Center for Interdisciplinary Remote Piloted Aircraft components of the wind is expected close to the Study (CIRPAS) at the Naval Postgraduate School top of the boundary layer. Topographical features (NPS). The wind components were measured with may intensify this wind jet at significant convex a DGPS/radome system, which provides a very bends of the coastline like Cape Mendocino, Pt accurate (0.1 ms-1) estimate of the wind (Kalogiros Arena and Pt Sur. At such changes of the and Wang 2001). The instrumentation of the coastline geometry combined with mountain aircraft included fast sensors for the measurement barriers (channeling effect) the northerly flow can of air temperature, humidity, shortwave and become supercritical. -
Surface Cyclolysis in the North Pacific Ocean. Part I
748 MONTHLY WEATHER REVIEW VOLUME 129 Surface Cyclolysis in the North Paci®c Ocean. Part I: A Synoptic Climatology JONATHAN E. MARTIN,RHETT D. GRAUMAN, AND NATHAN MARSILI Department of Atmospheric and Oceanic Sciences, University of WisconsinÐMadison, Madison, Wisconsin (Manuscript received 20 January 2000, in ®nal form 16 August 2000) ABSTRACT A continuous 11-yr sample of extratropical cyclones in the North Paci®c Ocean is used to construct a synoptic climatology of surface cyclolysis in the region. The analysis concentrates on the small population of all decaying cyclones that experience at least one 12-h period in which the sea level pressure increases by 9 hPa or more. Such periods are de®ned as threshold ®lling periods (TFPs). A subset of TFPs, referred to as rapid cyclolysis periods (RCPs), characterized by sea level pressure increases of at least 12 hPa in 12 h, is also considered. The geographical distribution, spectrum of decay rates, and the interannual variability in the number of TFP and RCP cyclones are presented. The Gulf of Alaska and Paci®c Northwest are found to be primary regions for moderate to rapid cyclolysis with a secondary frequency maximum in the Bering Sea. Moderate to rapid cyclolysis is found to be predominantly a cold season phenomena most likely to occur in a cyclone with an initially low sea level pressure minimum. The number of TFP±RCP cyclones in the North Paci®c basin in a given year is fairly well correlated with the phase of the El NinÄo±Southern Oscillation (ENSO) as measured by the multivariate ENSO index. -
Weather Charts Natural History Museum of Utah – Nature Unleashed Stefan Brems
Weather Charts Natural History Museum of Utah – Nature Unleashed Stefan Brems Across the world, many different charts of different formats are used by different governments. These charts can be anything from a simple prognostic chart, used to convey weather forecasts in a simple to read visual manner to the much more complex Wind and Temperature charts used by meteorologists and pilots to determine current and forecast weather conditions at high altitudes. When used properly these charts can be the key to accurately determining the weather conditions in the near future. This Write-Up will provide a brief introduction to several common types of charts. Prognostic Charts To the untrained eye, this chart looks like a strange piece of modern art that an angry mathematician scribbled numbers on. However, this chart is an extremely important resource when evaluating the movement of weather fronts and pressure areas. Fronts Depicted on the chart are weather front combined into four categories; Warm Fronts, Cold Fronts, Stationary Fronts and Occluded Fronts. Warm fronts are depicted by red line with red semi-circles covering one edge. The front movement is indicated by the direction the semi- circles are pointing. The front follows the Semi-Circles. Since the example above has the semi-circles on the top, the front would be indicated as moving up. Cold fronts are depicted as a blue line with blue triangles along one side. Like warm fronts, the direction in which the blue triangles are pointing dictates the direction of the cold front. Stationary fronts are frontal systems which have stalled and are no longer moving. -
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. -
Using the Weak Temperature Gradient Approximation to Understand Self-Aggregation 1
Multiple Equilibria in a Cloud Resolving Model: Using the Weak Temperature Gradient Approximation to Understand Self-Aggregation 1 Sharon Sessions, Satomi Sugaya, David Raymond, Adam Sobel New Mexico Tech SWAP 2011 nmtlogo 1This work is supported by the National Science Foundation Sessions (NMT) Multiple Equilibria in a CRM May2011 1/21 Self-Aggregation Bretherton et al (2005) precipitation 1 WVP = g rt dp R nmtlogo Day 1 Day 50 Sessions (NMT) Multiple Equilibria in a CRM May2011 2/21 Possible insight from limited domain WTG simulations Bretherton et al (2005) Day 1 Day 50 nmtlogo Sessions (NMT) Multiple Equilibria in a CRM May2011 3/21 Weak Temperature Gradients in the Tropics Charney 1963 scaling analysis Extratropics (small Rossby number) F δθ ∼ r θ Ro Tropics (Rossby number not small) δθ ∼ Fr θ 2 −3 Froude number: Fr = U /gH ∼ 10 , measure of stratification −5 Rossby number: Ro = U/fL ∼ 10 /f , characterizes rotation nmtlogo Sessions (NMT) Multiple Equilibria in a CRM May2011 4/21 Weak Temperature Gradients in the Tropics Charney 1963 scaling analysis Extratropics (small Rossby number) F δθ ∼ r θ Ro Tropics (Rossby number not small) δθ ∼ Fr θ 2 −3 Froude number: Fr = U /gH ∼ 10 , measure of stratification −5 Rossby number: Ro = U/fL ∼ 10 /f , characterizes rotation In the tropics, gravity waves rapidly redistribute buoyancy anomalies nmtlogo Sessions (NMT) Multiple Equilibria in a CRM May2011 4/21 Weak Temperature Gradient (WTG) Approximation Sobel & Bretherton 2000 Single column model (SCM) representing one grid cell in a global circulation -
NWS Unified Surface Analysis Manual
Unified Surface Analysis Manual Weather Prediction Center Ocean Prediction Center National Hurricane Center Honolulu Forecast Office November 21, 2013 Table of Contents Chapter 1: Surface Analysis – Its History at the Analysis Centers…………….3 Chapter 2: Datasets available for creation of the Unified Analysis………...…..5 Chapter 3: The Unified Surface Analysis and related features.……….……….19 Chapter 4: Creation/Merging of the Unified Surface Analysis………….……..24 Chapter 5: Bibliography………………………………………………….…….30 Appendix A: Unified Graphics Legend showing Ocean Center symbols.….…33 2 Chapter 1: Surface Analysis – Its History at the Analysis Centers 1. INTRODUCTION Since 1942, surface analyses produced by several different offices within the U.S. Weather Bureau (USWB) and the National Oceanic and Atmospheric Administration’s (NOAA’s) National Weather Service (NWS) were generally based on the Norwegian Cyclone Model (Bjerknes 1919) over land, and in recent decades, the Shapiro-Keyser Model over the mid-latitudes of the ocean. The graphic below shows a typical evolution according to both models of cyclone development. Conceptual models of cyclone evolution showing lower-tropospheric (e.g., 850-hPa) geopotential height and fronts (top), and lower-tropospheric potential temperature (bottom). (a) Norwegian cyclone model: (I) incipient frontal cyclone, (II) and (III) narrowing warm sector, (IV) occlusion; (b) Shapiro–Keyser cyclone model: (I) incipient frontal cyclone, (II) frontal fracture, (III) frontal T-bone and bent-back front, (IV) frontal T-bone and warm seclusion. Panel (b) is adapted from Shapiro and Keyser (1990) , their FIG. 10.27 ) to enhance the zonal elongation of the cyclone and fronts and to reflect the continued existence of the frontal T-bone in stage IV. -
Articles from Bon, Inorganic Aerosol and Sea Salt
Atmos. Chem. Phys., 18, 6585–6599, 2018 https://doi.org/10.5194/acp-18-6585-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 3.0 License. Meteorological controls on atmospheric particulate pollution during hazard reduction burns Giovanni Di Virgilio1, Melissa Anne Hart1,2, and Ningbo Jiang3 1Climate Change Research Centre, University of New South Wales, Sydney, 2052, Australia 2Australian Research Council Centre of Excellence for Climate System Science, University of New South Wales, Sydney, 2052, Australia 3New South Wales Office of Environment and Heritage, Sydney, 2000, Australia Correspondence: Giovanni Di Virgilio ([email protected]) Received: 22 May 2017 – Discussion started: 28 September 2017 Revised: 22 January 2018 – Accepted: 21 March 2018 – Published: 8 May 2018 Abstract. Internationally, severe wildfires are an escalating build-up of PM2:5. These findings indicate that air pollution problem likely to worsen given projected changes to climate. impacts may be reduced by altering the timing of HRBs by Hazard reduction burns (HRBs) are used to suppress wild- conducting them later in the morning (by a matter of hours). fire occurrences, but they generate considerable emissions Our findings support location-specific forecasts of the air of atmospheric fine particulate matter, which depend upon quality impacts of HRBs in Sydney and similar regions else- prevailing atmospheric conditions, and can degrade air qual- where. ity. Our objectives are to improve understanding of the re- lationships between meteorological conditions and air qual- ity during HRBs in Sydney, Australia. We identify the pri- mary meteorological covariates linked to high PM2:5 pollu- 1 Introduction tion (particulates < 2.5 µm in diameter) and quantify differ- ences in their behaviours between HRB days when PM2:5 re- Many regions experience regular wildfires with the poten- mained low versus HRB days when PM2:5 was high. -
Quantifying the Impact of Synoptic Weather Types and Patterns On
1 Quantifying the impact of synoptic weather types and patterns 2 on energy fluxes of a marginal snowpack 3 Andrew Schwartz1, Hamish McGowan1, Alison Theobald2, Nik Callow3 4 1Atmospheric Observations Research Group, University of Queensland, Brisbane, 4072, Australia 5 2Department of Environment and Science, Queensland Government, Brisbane, 4000, Australia 6 3School of Agriculture and Environment, University of Western Australia, Perth, 6009, Australia 7 8 Correspondence to: Andrew J. Schwartz ([email protected]) 9 10 Abstract. 11 Synoptic weather patterns are investigated for their impact on energy fluxes driving melt of a marginal snowpack 12 in the Snowy Mountains, southeast Australia. K-means clustering applied to ECMWF ERA-Interim data identified 13 common synoptic types and patterns that were then associated with in-situ snowpack energy flux measurements. 14 The analysis showed that the largest contribution of energy to the snowpack occurred immediately prior to the 15 passage of cold fronts through increased sensible heat flux as a result of warm air advection (WAA) ahead of the 16 front. Shortwave radiation was found to be the dominant control on positive energy fluxes when individual 17 synoptic weather types were examined. As a result, cloud cover related to each synoptic type was shown to be 18 highly influential on the energy fluxes to the snowpack through its reduction of shortwave radiation and 19 reflection/emission of longwave fluxes. As single-site energy balance measurements of the snowpack were used 20 for this study, caution should be exercised before applying the results to the broader Australian Alps region. 21 However, this research is an important step towards understanding changes in surface energy flux as a result of 22 shifts to the global atmospheric circulation as anthropogenic climate change continues to impact marginal winter 23 snowpacks. -
Balanced Flow Natural Coordinates
Balanced Flow • The pressure and velocity distributions in atmospheric systems are related by relatively simple, approximate force balances. • We can gain a qualitative understanding by considering steady-state conditions, in which the fluid flow does not vary with time, and by assuming there are no vertical motions. • To explore these balanced flow conditions, it is useful to define a new coordinate system, known as natural coordinates. Natural Coordinates • Natural coordinates are defined by a set of mutually orthogonal unit vectors whose orientation depends on the direction of the flow. Unit vector tˆ points along the direction of the flow. ˆ k kˆ Unit vector nˆ is perpendicular to ˆ t the flow, with positive to the left. kˆ nˆ ˆ t nˆ Unit vector k ˆ points upward. ˆ ˆ t nˆ tˆ k nˆ ˆ r k kˆ Horizontal velocity: V = Vtˆ tˆ kˆ nˆ ˆ V is the horizontal speed, t nˆ ˆ which is a nonnegative tˆ tˆ k nˆ scalar defined by V ≡ ds dt , nˆ where s ( x , y , t ) is the curve followed by a fluid parcel moving in the horizontal plane. To determine acceleration following the fluid motion, r dV d = ()Vˆt dt dt r dV dV dˆt = ˆt +V dt dt dt δt δs δtˆ δψ = = = δtˆ t+δt R tˆ δψ δψ R radius of curvature (positive in = R δs positive n direction) t n R > 0 if air parcels turn toward left R < 0 if air parcels turn toward right ˆ dtˆ nˆ k kˆ = (taking limit as δs → 0) tˆ R < 0 ds R kˆ nˆ ˆ ˆ ˆ t nˆ dt dt ds nˆ ˆ ˆ = = V t nˆ tˆ k dt ds dt R R > 0 nˆ r dV dV dˆt = ˆt +V dt dt dt r 2 dV dV V vector form of acceleration following = ˆt + nˆ dt dt R fluid motion in natural coordinates r − fkˆ ×V = − fVnˆ Coriolis (always acts normal to flow) ⎛ˆ ∂Φ ∂Φ ⎞ − ∇ pΦ = −⎜t + nˆ ⎟ pressure gradient ⎝ ∂s ∂n ⎠ dV ∂Φ = − dt ∂s component equations of horizontal V 2 ∂Φ momentum equation (isobaric) in + fV = − natural coordinate system R ∂n dV ∂Φ = − Balance of forces parallel to flow.