Operational Use of a Wind Profiler for Aviation Meteorology
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Low Level Wind Shear: Invisible Enemy to Pilots
Low Level Wind Shear: Invisible Enemy To Pilots On the afternoon of August 2, 1985, a landmark aircraft accident occurred at the Dallas/Fort Worth (DFW) airport. The tragic accident, which killed 137 of the 163 passengers on board Delta Airlines Flight 191, was responsible for making “wind shear” a more commonly known weather phenomenon and implementing many new changes with regard to wind shear detection (Ref. 1). On that day, thunderstorms were in the area of approach to runway 17L at the DFW International Airport, with a thunderstorm rain shaft right in the path of final approach. The crew decided to proceed through the thunderstorm, which turned out to be a critical error. Shortly after entering the storm, turbulence increased and the L1011 aircraft encountered a 26 knot headwind. Just as suddenly, the wind switched to a 46 knot tailwind, resulting in a loss of 72 knots of airspeed. This much of an airspeed loss on final approach, when the jet was only 800 feet above the surface, was unrecoverable and the aircraft eventually crashed short of the runway (Ref. 1). The sudden change in wind speed and direction that the aircraft encountered is called wind shear. Wind shear can occur at many different levels of the atmosphere, however it is most dangerous at the low levels, as a sudden loss of airspeed and altitude can occur. Plenty of altitude is normally needed to recover from the stall produced by the abrupt change in wind speed and direction, which is why pilots need to be aware of the hazards and mitigation of low-level wind shear. -
CHAPTER CONTENTS Page CHAPTER 5
CHAPTER CONTENTS Page CHAPTER 5. SPECIAL PROFILING TECHNIQUES FOR THE BOUNDARY LAYER AND THE TROPOSPHERE .............................................................. 640 5.1 General ................................................................... 640 5.2 Surface-based remote-sensing techniques ..................................... 640 5.2.1 Acoustic sounders (sodars) ........................................... 640 5.2.2 Wind profiler radars ................................................. 641 5.2.3 Radio acoustic sounding systems ...................................... 643 5.2.4 Microwave radiometers .............................................. 644 5.2.5 Laser radars (lidars) .................................................. 645 5.2.6 Global Navigation Satellite System ..................................... 646 5.2.6.1 Description of the Global Navigation Satellite System ............. 647 5.2.6.2 Tropospheric Global Navigation Satellite System signal ........... 648 5.2.6.3 Integrated water vapour. 648 5.2.6.4 Measurement uncertainties. 649 5.3 In situ measurements ....................................................... 649 5.3.1 Balloon tracking ..................................................... 649 5.3.2 Boundary layer radiosondes .......................................... 649 5.3.3 Instrumented towers and masts ....................................... 650 5.3.4 Instrumented tethered balloons ....................................... 651 ANNEX. GROUND-BASED REMOTE-SENSING OF WIND BY HETERODYNE PULSED DOPPLER LIDAR ................................................................ -
An LES-Based Airborne Doppler Lidar Simulator and Its Application to Wind Profiling in Inhomogeneous flow Conditions
Atmos. Meas. Tech., 13, 1609–1631, 2020 https://doi.org/10.5194/amt-13-1609-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. An LES-based airborne Doppler lidar simulator and its application to wind profiling in inhomogeneous flow conditions Philipp Gasch1, Andreas Wieser1, Julie K. Lundquist2,3, and Norbert Kalthoff1 1Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany 2Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80303, USA 3National Renewable Energy Laboratory, Golden, CO 80401, USA Correspondence: Philipp Gasch ([email protected]) Received: 26 March 2019 – Discussion started: 5 June 2019 Revised: 19 February 2020 – Accepted: 19 February 2020 – Published: 2 April 2020 Abstract. Wind profiling by Doppler lidar is common prac- profiling at low wind speeds (< 5ms−1) can be biased, if tice and highly useful in a wide range of applications. Air- conducted in regions of inhomogeneous flow conditions. borne Doppler lidar can provide additional insights relative to ground-based systems by allowing for spatially distributed and targeted measurements. Providing a link between the- ory and measurement, a first large eddy simulation (LES)- 1 Introduction based airborne Doppler lidar simulator (ADLS) has been de- veloped. Simulated measurements are conducted based on Doppler lidar has experienced rapidly growing importance LES wind fields, considering the coordinate and geometric and usage in remote sensing of atmospheric winds over transformations applicable to real-world measurements. The the past decades (Weitkamp et al., 2005). Sectors with ADLS provides added value as the input truth used to create widespread usage include boundary layer meteorology, wind the measurements is known exactly, which is nearly impos- energy and airport management. -
Evaluation of Three-Beam and Four-Beam Profiler Wind Measurement Techniques Using a Five-Beam Wind Profiler and Collocated Meteorological Tower
AUGUST 2005 A DACHI ET AL. 1167 Evaluation of Three-Beam and Four-Beam Profiler Wind Measurement Techniques Using a Five-Beam Wind Profiler and Collocated Meteorological Tower AHORO ADACHI AND TAKAHISA KOBAYASHI Meteorological Research Institute, Tsukuba, Japan KENNETH S. GAGE AND DAVID A. CARTER NOAA Aeronomy Laboratory, Boulder, Colorado LESLIE M. HARTTEN Cooperative Institute for Research in Environmental Sciences, University of Colorado, and NOAA Aeronomy Laboratory, Boulder, Colorado WALLACE L. CLARK NOAA Aeronomy Laboratory, and Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado MASATO FUKUDA Japan Meteorological Agency, Chiyoda-ku, Tokyo, Japan (Manuscript received 9 August 2004, in final form 16 December 2004) ABSTRACT In this paper a five-beam wind profiler and a collocated meteorological tower are used to estimate the accuracy of four-beam and three-beam wind profiler techniques in measuring horizontal components of the wind. In the traditional three-beam technique, the horizontal components of wind are derived from two orthogonal oblique beams and the vertical beam. In the less used four-beam method, the horizontal winds are found from the radial velocities measured with two orthogonal sets of opposing coplanar beams. In this paper the observations derived from the two wind profiler techniques are compared with the tower mea- surements using data averaged over 30 min. Results show that, while the winds measured using both methods are in overall agreement with the tower measurements, some of the horizontal components of the three-beam-derived winds are clearly spurious when compared with the tower-measured winds or the winds derived from the four oblique beams. -
Triton Wind Profiler B211334EN-B
Tritonâ Wind Pro®ler Features • High height data — to 200 meters • No permitting required • Extremely low power consumption (7 watts) • Data access and monitoring via secure web portal • Ease of deployment — installed and collecting data within 2 hours • > 99.9 % operational uptime based on more than 800 commercial systems deployed worldwide since April 2008 Tritonâ Wind Pro®ler is a durable, robust, and independent sonic detection and ranging (SODAR) device used for pro®ling wind regimes at a given location. A Resource Assessment 120 meters, high quality filtered data Use Tritons for Every Stage of Your System For Today’s Wind captured by Triton normally exceeds Wind Project: Turbines 90 % (averaged over a 12-month period). • Greenfield prospecting Vaisala Triton Wind Profiler is Triton’s performance has been validated an advanced SODAR that provides wind by studies correlating its measurements • Micrositing and turbine suitability with anemometers at a number of sites. data well above the rotor tip-height of • Wind shear validation today’s large wind turbines. Triton • Hub height wind speed validation captures extensive data on anomalous Monitoring and Data Access wind events such as speed and direction Via Secure Web Portal • Ramp event forecasting shear and turbulence that directly affect Download and analyze your wind data at • Reducing spatial uncertainty wind turbines’ power output — and that any time, from any location via • Power curve testing and nacelle could affect a wind farm’s performance. the Internet. Access ten-minute averages anemometer correlation in real-time over a secure web server, Low Power Consumption and easily read and understand the data. -
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. -
Effect of Intense Wind Shear Across the Inversion on Stratocumulus Clouds
GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L15814, doi:10.1029/2008GL033865, 2008 Click Here for Full Article Effect of intense wind shear across the inversion on stratocumulus clouds Shouping Wang,1 Jean-Christophe Golaz,2 and Qing Wang3 Received 17 March 2008; revised 12 May 2008; accepted 9 July 2008; published 13 August 2008. [1] A large-eddy simulation model is used to examine the mental difference between the strongly sheared and the impact of the intense cross-inversion wind shear on the shear-free stratocumulus convection? stratocumulus cloud structure. The wind shear enhanced [3] A low-level jet near the top of the CTBL is frequently entrainment mixing effectively reduces the cloud water and observed off the California central coast during summer due thickens the inversion layer. It leads to a reduction of the to the topography and land-sea contrast [Strom et al., 2001; turbulence kinetic energy (TKE) production in the cloud Rahn and Parish, 2007]. Figures 1a–1c show soundings layer due to the weakened cloud-top radiative cooling and taken in an aircraft flight in the field experiment of the formation of a turbulent and cloud free sublayer within Development and Evolution of Coastal Stratocumulus the inversion. The thickness of the sublayer increases with the [Kalogiros and Wang, 2002]. The wind speed reaches enhanced wind shear intensity. Under the condition of a maximum 18 msÀ1 just below the base of the inversion; weaker inversion, the enhanced shear mixing within the decreases by 8 msÀ1 across the sharp inversion; and then inversion layer even lowers the cloud-top height and reduces reduces further but more gradually to 7 m sÀ1 at about 730 m. -
Geography 5942 Synoptic Meteorology: Severe Storm Forecasting Spring 2017
Geography 5942 Synoptic Meteorology: Severe Storm Forecasting Spring 2017 Instructor: Jeff Rogers, Prof. Emeritus Office: Derby 1048 e-mail: [email protected] Phone: 292-0148 Office Hours: Tu, Th 2:10-3:30p.m. Course Prerequisites: Geography 5941, Physics 1250 Class Meetings: Tu, Th, 3:55 – 5:15 p.m. in Db 0140 Access to course lecture materials: http://carmen.osu.edu. Suggested Textbook: Mesoscale Meteorology in Midlatitudes by Paul Markowski and YvetteRichardson. Order through websites such as Amazon, it has not been ordered for the OSU bookstores. Course Objectives: The aim of the course is to introduce students to the methods of analysis and techniques of forecasting thunderstorms and severe weather. The course is divided into five components: 1. Introductory overview of the climatology of severe weather and basic cloud physics, 2. The meteorological ingredients for severe weather and the forecasting of severe weather, 3. Weather radar and satellites as tools in severe weather analysis, 4. Convection and the characteristics and features of mesoscale storms, and 5. Practice in severe weather forecasting through a series of exercises and assignments. The initial course section focuses on the ingredients of, and synoptic setting in which, severe storms develop. The role of instability, moisture, low-level and upper-level synoptic scale uplift will be described as will means by which forecasters identify and categorize the importance of each of these. The subsequent segment of the course describes the ways in which weather radar and geostationary satellite imagery are used in the analysis and forecasting of severe weather. Some theory of radar and satellite imagery is covered but the emphasis is on the usage of these materials in preparing forecasts and in trying to understand the conditions that are ideal for severe weather development. -
Observation of Hurricane Georges with a Vhf Wind Profiler and the San Juan Nexrad Radar Over Puerto Rico
2A.6 OBSERVATION OF HURRICANE GEORGES WITH A VHF WIND PROFILER AND THE SAN JUAN NEXRAD RADAR OVER PUERTO RICO Edwin F. Campos1, Monique Petitdidier2 and Carlton Ulbrich3 1 Instituto Meteorológico Nacional, San José, Costa Rica 2 CETP-UVSQ-CNRS, Vélizy, France 3 Clemson University, SC Clemson, USA 1. INTRODUCTION 2. OBSERVING SYSTEM Hurricane Georges originated from a tropical Unique observations with a 46.7 MHz ST radar wave, observed by satellite and upper-air data, where taken during the passage of Hurricane which crossed the west coast of Africa late on 13 Georges over Puerto Rico. The measurements were September. Radiosonde data from Dakar, Senegal carried out at VHF (46.7MHz) with a 2µs pulse, the showed an attendant 35 to 45 knot easterly jet IPP being 1ms. Due to the extreme winds, the between 550 and 650 millibars (mb). By mid- antenna was fixed at constant zenith and azimuth morning of the 21st an upper-level low over Cuba, angles (8.8 degrees from the vertical and about 240 denoted in water vapor imagery, was moving degrees in the azimuth). The first 50 gates are westward away from Georges thereby reducing the consecutive and their sampling starts at 40 µs; the possibility of Georges moving to the northwest, last ten gates correspond to the calibration; the away from Puerto Rico. Later in the afternoon, the sampling of this group starting at 900 µs. The in- shear appeared to diminish and the outflow aloft phase and in-quadrature data are recorded without improved but Georges never fully recovered due in any coherent integration. -
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. -
A 449 MHZ MODULAR WIND PROFILER RADAR SYSTEM by BRADLEY JAMES LINDSETH B.S., Washington University in St
A 449 MHZ MODULAR WIND PROFILER RADAR SYSTEM by BRADLEY JAMES LINDSETH B.S., Washington University in St. Louis, 2002 M.S., Washington University in St. Louis, 2005 A thesis submitted to the Faculty of the Graduate School of the University of Colorado in partial fulfillment of the requirement for the degree of Doctor of Philosophy Department of Electrical, Computer, and Energy Engineering 2012 This thesis entitled: A 449 MHz Modular Wind Profiler Radar System written by Bradley James Lindseth has been approved for the Department of Electrical, Computer, and Energy Engineering Prof. Zoya Popović Dr. William O.J. Brown Date The final copy of this thesis has been examined by the signatories, and we Find that both the content and the form meet acceptable presentation standards Of scholarly work in the above mentioned discipline. Lindseth, Bradley James (Ph.D., Electrical Engineering) A 449 MHz Modular Wind Profiler Radar System Thesis directed by Professor Zoya Popović and Dr. William O.J. Brown This thesis presents the design of a 449 MHz radar for wind profiling, with a focus on modularity, antenna sidelobe reduction, and solid-state transmitter design. It is one of the first wind profiler radars to use low-cost LDMOS power amplifiers combined with spaced antennas. The system is portable and designed for 2-3 month deployments. The transmitter power amplifier consists of multiple 1-kW peak power modules which feed 54 antenna elements arranged in a hexagonal array, scalable directly to 126 elements. The power amplifier is operated in pulsed mode with a 10% duty cycle at 63% drain efficiency. -
Relative Forecast Impact from Aircraft, Profiler, Rawinsonde, VAD, GPS-PW, METAR and Mesonet Observations for Hourly Assimilation in the RUC
16.2 Relative forecast impact from aircraft, profiler, rawinsonde, VAD, GPS-PW, METAR and mesonet observations for hourly assimilation in the RUC Stan Benjamin, Brian D. Jamison, William R. Moninger, Barry Schwartz, and Thomas W. Schlatter NOAA Earth System Research Laboratory, Boulder, CO 1. Introduction A series of experiments was conducted using the Rapid Update Cycle (RUC) model/assimilation system in which various data sources were denied to assess the relative importance of the different data types for short-range (3h-12h duration) wind, temperature, and relative humidity forecasts at different vertical levels. This assessment of the value of 7 different observation data types (aircraft (AMDAR and TAMDAR), profiler, rawinsonde, VAD (velocity azimuth display) winds, GPS precipitable water, METAR, and mesonet) on short-range numerical forecasts was carried out for a 10-day period from November- December 2006. 2. Background Observation system experiments (OSEs) have been found very useful to determine the impact of particular observation types on operational NWP systems (e.g., Graham et al. 2000, Bouttier 2001, Zapotocny et al. 2002). This new study is unique in considering the effects of most of the currently assimilated high-frequency observing systems in a 1-h assimilation cycle. The previous observation impact experiments reported in Benjamin et al. (2004a) were primarily for wind profiler and only for effects on wind forecasts. This new impact study is much broader than that the previous study, now for more observation types, and for three forecast fields: wind, temperature, and moisture. Here, a set of observational sensitivity experiments (Table 1) were carried out for a recent winter period using 2007 versions of the Rapid Update Cycle assimilation system and forecast model.