Glider Handbook, Chapter 9: Soaring Weather
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Chapter 2 Aviation Weather Hazards
NUNAVUT-E 11/12/05 10:34 PM Page 9 LAKP-Nunavut and the Arctic 9 Chapter 2 Aviation Weather Hazards Introduction Throughout its history, aviation has had an intimate relationship with the weather. Time has brought improvements - better aircraft, improved air navigation systems and a systemized program of pilot training. Despite this, weather continues to exact its toll. In the aviation world, ‘weather’ tends to be used to mean not only “what’s happen- ing now?” but also “what’s going to happen during my flight?”. Based on the answer received, the pilot will opt to continue or cancel his flight. In this section we will examine some specific weather elements and how they affect flight. Icing One of simplest assumptions made about clouds is that cloud droplets are in a liquid form at temperatures warmer than 0°C and that they freeze into ice crystals within a few degrees below zero. In reality, however, 0°C marks the temperature below which water droplets become supercooled and are capable of freezing. While some of the droplets actually do freeze spontaneously just below 0°C, others persist in the liquid state at much lower temperatures. Aircraft icing occurs when supercooled water droplets strike an aircraft whose temperature is colder than 0°C. The effects icing can have on an aircraft can be quite serious and include: Lift Decreases Drag Stall Speed Increases Increases Weight Increases Fig. 2-1 - Effects of icing NUNAVUT-E 11/12/05 10:34 PM Page 10 10 CHAPTER TWO • disruption of the smooth laminar flow over the wings causing a decrease in lift and an increase in the stall speed. -
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. -
Orographic Rainfall
October f.967 R. P. Sarker 67 3 SOME MODIFICATONS IN A DYNAMICAL MODEL OF OROGRAPHIC RAINFALL R. P. SARKER lnstitufe of Tropical Meteorology, Poona, India ABSTRACT A dynamical model presented earlier by the author for the orographic rainfall over the Western Ghats and based on analytical solutions is modified here in three respects with the aid of numerical methods. Like the earlier approxi- mate model, the modified model also assumes a saturated atmosphere with pseudo-adiabatic lapse rate and is based on linearized equations. The rainfall, as coniputed from the modified model, is in good agreement, both in intensity and in distribution, with the observed rainfall on the windward side of the mountain. Also the modified model suggests that rainfall due to orography may extend out to about 40 km. or so on the lee side from the crest of the mountain and thus explains at least a part of the lee-side rainfall. 1. INTRODUCTION tion for vertical velocity and streamline displacement from the linearized equations with the real distribution of In a previous paper the author [6] proposed a dynamical f (z) as far as possible, subject to the assumption that (a) model of orographic rainfall with particular reference to the ground profile is still a smoothed one, and that (b) the the Western Ghats of India and showed that the model atmosphere is saturated in which both the process and the explains quite satisfactorily the rainfall distribution from environment have the pseudo-adiabatic lapse rate. the coast inland along the orography on the windward side. However, the rainfall distribution as computed from We shall make another important modification. -
Stratospheric Gravity Wave Fluxes and Scales During DEEPWAVE
JULY 2016 S M I T H E T A L . 2851 Stratospheric Gravity Wave Fluxes and Scales during DEEPWAVE 1 RONALD B. SMITH,* ALISON D. NUGENT,* CHRISTOPHER G. KRUSE,* DAVID C. FRITTS, # @ & JAMES D. DOYLE, STEVEN D. ECKERMANN, MICHAEL J. TAYLOR, ANDREAS DÖRNBRACK,** 11 ## ## ## ## M. UDDSTROM, WILLIAM COOPER, PAVEL ROMASHKIN, JORGEN JENSEN, AND STUART BEATON * Department of Geology and Geophysics, Yale University, New Haven, Connecticut 1 GATS, Boulder, Colorado # Naval Research Laboratory, Monterey, California @ Naval Research Laboratory, Washington, D.C. & Utah State University, Logan, Utah ** German Aerospace Center (DLR), Oberpfaffenhofen, Germany 11 National Institute of Water and Atmospheric Research, Kilbirnie, Wellington, New Zealand ## National Center for Atmospheric Research, Boulder, Colorado (Manuscript received 27 October 2015, in final form 25 February 2016) ABSTRACT During the Deep Propagating Gravity Wave Experiment (DEEPWAVE) project in June and July 2014, the Gulfstream V research aircraft flew 97 legs over the Southern Alps of New Zealand and 150 legs over the Tasman Sea and Southern Ocean, mostly in the low stratosphere at 12.1-km altitude. Improved instrument calibration, redundant sensors, longer flight legs, energy flux estimation, and scale analysis revealed several new gravity wave properties. Over the sea, flight-level wave fluxes mostly fell below the detection threshold. Over terrain, disturbances had characteristic mountain wave attributes of positive vertical energy flux (EFz), negative zonal momentum flux, and upwind horizontal energy flux. In some cases, the fluxes changed rapidly within an 8-h flight, even though environ- mental conditions were nearly unchanged. The largest observed zonal momentum and vertical energy fluxes were 22 MFx 52550 mPa and EFz 5 22 W m , respectively. -
Hang Glider: Range Maximization the Problem Is to Compute the flight Inputs to a Hang Glider So As to Provide a Maximum Range flight
Hang Glider: Range Maximization The problem is to compute the flight inputs to a hang glider so as to provide a maximum range flight. This problem first appears in [1]. The hang glider has weight W (glider plus pilot), a lift force L acting perpendicular to its velocity vr relative to the air, and a drag force D acting in a direction opposite to vr. Denote by x the horizontal position of the glider, by vx the horizontal component of the absolute velocity, by y the vertical position, and by vy the vertical component of absolute velocity. The airmass is not static: there is a thermal just 250 meters ahead. The profile of the thermal is given by the following upward wind velocity: 2 2 − x −2.5 x u (x) = u e ( R ) 1 − − 2.5 . a m R We take R = 100 m and um = 2.5 m/s. Note, MKS units are used through- out. The upwind profile is shown in Figure 1. Letting η denote the angle between vr and the horizontal plane, we have the following equations of motion: 1 x˙ = vx, v˙x = m (−L sin η − D cos η), 1 y˙ = vy, v˙y = m (L cos η − D sin η − W ) with q vy − ua(x) 2 2 η = arctan , vr = vx + (vy − ua(x)) , vx 1 1 L = c ρSv2,D = c (c )ρSv2,W = mg. 2 L r 2 D L r The glider is controlled by the lift coefficient cL. The drag coefficient is assumed to depend on the lift coefficient as 2 cD(cL) = c0 + kcL where c0 = 0.034 and k = 0.069662. -
THREE-DIMENSIONAL LEE WAVES by T. Marthinsen Institute Of
THREE-DIMENSIONAL LEE WAVES by T. Marthinsen Institute of mathematics University of Oslo Abstract Linear wave theory is used to find the stationary,trapped lee waves behind an isolated mountain. The lower atmosphere is approxi mated by a three-layer model with Brunt-Vaisala frequency and wind velocity constant in each layer. The Fourier-integrals are solved by a uniformly valid asymptotic expansion and also by numerical methods. The wave pattern is found to be strongly dependent on the atmospheric stratification. The way the waves change when the para meters describing the atmosphere and the shape of the mountain vary, is studied. Further, the results predicted by the theory are compared with waves observed on satellite photographs. It is found that the observed wave patterns are described well by the linear theory, and there is good agreement between observed and computed wavelengths. - 1 - 1 Introduction Three-dimensional lee waves have received little study compared to the two-dimensional case. They are, however, often observed on satellite photographs, and four such observations were presented and analysed in~ previous paper, Gjevik and Marthinsen (1978),referred to here as I. Some photographs taken by the Skylab crew have been presented by Fujita and Tecson (1977) and by Pitts et.al. (1977). A review of satellite observations of lee waves and vortex shedding has been given by Gjevik (1979). It is clear from the investigations in I that the observed waves presented there are trapped lee waves, i.e. waves with no vertical propagation. A condition for such waves to exist is that the Scorer parameter, which is the ratio between the Brunt-Vaisala frequency and the wind velocity, decreases with height. -
Atmospheric Instability Parameters Derived from Msg Seviri Observations
P3.33 ATMOSPHERIC INSTABILITY PARAMETERS DERIVED FROM MSG SEVIRI OBSERVATIONS Marianne König*, Stephen Tjemkes, Jochen Kerkmann EUMETSAT, Darmstadt, Germany 1. INTRODUCTION K-Index: Convective systems can develop in a thermo- (Tobs(850)–Tobs(500)) + TDobs(850) – (Tobs(700)–TDobs(700)) dynamically unstable atmosphere. Such systems may quickly reach high altitudes and can cause severe Lifted Index: storms. Meteorologists are thus especially interested to Tobs - Tlifted from surface at 500 hPa identify such storm potentials when the respective system is still in a preconvective state. A number of Maximum buoyancy: obs(max betw. surface and 850) obs(min betw. 700 and 300) instability indices have been defined to describe such Qe - Qe situations. Traditionally, these indices are taken from temperature and humidity soundings by radiosondes. As (T is temperature, TD is dewpoint temperature, and Qe radiosondes are only of very limited temporal and is equivalent potential temperature, numbers 850, 700, spatial resolution there is a demand for satellite-derived 300 indicate respective hPa level in the atmosphere) indices. The Meteorological Product Extraction Facility (MPEF) for the new European Meteosat Second and the precipitable water content as additionally Generation (MSG) satellite envisages the operational derived parameter. derivation of a number of instability indices from the brightness temperatures measured by certain SEVIRI 3. DESCRIPTION OF ALGORITHMS channels (Spinning Enhanced Visible and Infrared Imager, the radiometer onboard MSG). The traditional 3.1 The Physical Retrieval physical approach to this kind of retrieval problem is to infer the atmospheric profile via a constrained inversion An iterative solution to the inversion equation (e.g. and compute the indices then directly from the obtained Ma et al. -
Basic Features on a Skew-T Chart
Skew-T Analysis and Stability Indices to Diagnose Severe Thunderstorm Potential Mteor 417 – Iowa State University – Week 6 Bill Gallus Basic features on a skew-T chart Moist adiabat isotherm Mixing ratio line isobar Dry adiabat Parameters that can be determined on a skew-T chart • Mixing ratio (w)– read from dew point curve • Saturation mixing ratio (ws) – read from Temp curve • Rel. Humidity = w/ws More parameters • Vapor pressure (e) – go from dew point up an isotherm to 622mb and read off the mixing ratio (but treat it as mb instead of g/kg) • Saturation vapor pressure (es)– same as above but start at temperature instead of dew point • Wet Bulb Temperature (Tw)– lift air to saturation (take temperature up dry adiabat and dew point up mixing ratio line until they meet). Then go down a moist adiabat to the starting level • Wet Bulb Potential Temperature (θw) – same as Wet Bulb Temperature but keep descending moist adiabat to 1000 mb More parameters • Potential Temperature (θ) – go down dry adiabat from temperature to 1000 mb • Equivalent Temperature (TE) – lift air to saturation and keep lifting to upper troposphere where dry adiabats and moist adiabats become parallel. Then descend a dry adiabat to the starting level. • Equivalent Potential Temperature (θE) – same as above but descend to 1000 mb. Meaning of some parameters • Wet bulb temperature is the temperature air would be cooled to if if water was evaporated into it. Can be useful for forecasting rain/snow changeover if air is dry when precipitation starts as rain. Can also give -
P7.1 a Comparative Verification of Two “Cap” Indices in Forecasting Thunderstorms
P7.1 A COMPARATIVE VERIFICATION OF TWO “CAP” INDICES IN FORECASTING THUNDERSTORMS David L. Keller Headquarters Air Force Weather Agency, Offutt AFB, Nebraska 1. INTRODUCTION layer parcels are then sufficiently buoyant to rise to the Level of Free Convection (LFC), resulting in convection The forecasting of non-severe and severe and possibly thunderstorms. In many cases dynamic thunderstorms in the continental United States forcing such as low-level convergence, low-level warm (CONUS) for military customers is the responsibility of advection, or positive vorticity advection provide the Air Force Weather Agency (AFWA) CONUS Severe additional force to mechanically lift boundary layer Weather Operations (CONUS OPS), and of the Storm parcels through the inversion. Prediction Center (SPC) for the civilian government. In the morning hours, one of the biggest Severe weather is defined by both of these challenges in severe weather forecasting is to organizations as the occurrence of a tornado, hail determine not only if, but also where the cap will break larger than 19 mm, wind speed of 25.7 m/s, or wind later in the day. Model forecasts help determine future damage. These agencies produce ‘outlooks’ denoting soundings. Based on the model data, severe storm areas where non-severe and severe thunderstorms are indices can be calculated that help measure the expected. Outlooks are issued for the current day, for predicted dynamic forcing, instability, and the future ‘tomorrow’ and the day following. The ‘day 1’ forecast state of the capping inversion. is normally issued 3 to 5 times per day, the ‘day 2’ and One measure of the cap is the Convective ‘day 3’ forecasts less frequently. -
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. -
Thunderstorm Predictors and Their Forecast Skill for the Netherlands
Atmospheric Research 67–68 (2003) 273–299 www.elsevier.com/locate/atmos Thunderstorm predictors and their forecast skill for the Netherlands Alwin J. Haklander, Aarnout Van Delden* Institute for Marine and Atmospheric Sciences, Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands Accepted 28 March 2003 Abstract Thirty-two different thunderstorm predictors, derived from rawinsonde observations, have been evaluated specifically for the Netherlands. For each of the 32 thunderstorm predictors, forecast skill as a function of the chosen threshold was determined, based on at least 10280 six-hourly rawinsonde observations at De Bilt. Thunderstorm activity was monitored by the Arrival Time Difference (ATD) lightning detection and location system from the UK Met Office. Confidence was gained in the ATD data by comparing them with hourly surface observations (thunder heard) for 4015 six-hour time intervals and six different detection radii around De Bilt. As an aside, we found that a detection radius of 20 km (the distance up to which thunder can usually be heard) yielded an optimum in the correlation between the observation and the detection of lightning activity. The dichotomous predictand was chosen to be any detected lightning activity within 100 km from De Bilt during the 6 h following a rawinsonde observation. According to the comparison of ATD data with present weather data, 95.5% of the observed thunderstorms at De Bilt were also detected within 100 km. By using verification parameters such as the True Skill Statistic (TSS) and the Heidke Skill Score (Heidke), optimal thresholds and relative forecast skill for all thunderstorm predictors have been evaluated. -
2.1 ANOTHER LOOK at the SIERRA WAVE PROJECT: 50 YEARS LATER Vanda Grubišic and John Lewis Desert Research Institute, Reno, Neva
2.1 ANOTHER LOOK AT THE SIERRA WAVE PROJECT: 50 YEARS LATER Vanda Grubiˇsi´c∗ and John Lewis Desert Research Institute, Reno, Nevada 1. INTRODUCTION aerodynamically-minded Germans found a way to contribute to this field—via the development ofthe In early 20th century, the sport ofmanned bal- glider or sailplane. In the pre-WWI period, glid- loon racing merged with meteorology to explore ers were biplanes whose two wings were held to- the circulation around mid-latitude weather systems gether by struts. But in the early 1920s, Wolfgang (Meisinger 1924; Lewis 1995). The information Klemperer designed and built a cantilever mono- gained was meager, but the consequences grave— plane glider that removed the outside rigging and the death oftwo aeronauts, LeRoy Meisinger and used “...the Junkers principle ofa wing with inter- James Neeley. Their balloon was struck by light- nal bracing” (von Karm´an 1967, p. 98). Theodore ening in a nighttime thunderstorm over central Illi- von Karm´an gives a vivid and lively account of nois in 1924 (Lewis and Moore 1995). After this the technical accomplishments ofthese aerodynam- event, the U.S. Weather Bureau halted studies that icists, many ofthem university students, during the involved manned balloons. The justification for the 1920s and 1930s (von Karm´an 1967). use ofthe freeballoon was its natural tendency Since gliders are non-powered craft, a consider- to move as an air parcel and thereby afford a La- able skill and familiarity with local air currents is grangian view ofthe phenomenon. Just afterthe required to fly them. In his reminiscences, Heinz turn ofmid-20th century, another meteorological ex- Lettau also makes mention ofthe influence that periment, equally dangerous, was accomplished in experiences with these motorless craft, in his case the lee ofthe Sierra Nevada.