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Author: Yee-Chien Calvin Ying
Publisher:
ISBN:
Category :
Languages : en
Pages : 200
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Book Description
Author: Yee-Chien Calvin Ying
Publisher:
ISBN:
Category :
Languages : en
Pages : 200
Get Book Here
Book Description
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309087317
Category : Science
Languages : en
Pages : 67
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Book Description
Accurate prediction of convective storms 2- to 6-hours in advance is critical to selecting air traffic routes with minimal weather delays or diversions. This report summarizes the discussions of a workshop to explore present convective weather forecasting skill, strategies for improving that skill, ways to verify forecasts are accurate, and how to make forecasts useful to air traffic controllers, airline dispatchers, and pilots.
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721831777
Category :
Languages : en
Pages : 24
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Book Description
The Federal Aviation Administration (FAA) is handling nearly 120,000 flights a day through its Air Traffic Management (ATM) system and air traffic congestion is expected to increse substantially over the next 20 years. Weather-induced impacts to throughput and efficiency are the leading cause of flight delays accounting for 70% of all delays with convective weather accounting for 60% of all weather related delays. To support the Next Generation Air Traffic System goal of operating at 3X current capacity in the NAS, ATC decision support tools are being developed to create advisories to assist controllers in all weather constraints. Initial development of these decision support tools did not integrate information regarding weather constraints such as thunderstorms and relied on an additional system to provide that information. Future Decision Support Tools should move towards an integrated system where weather constraints are factored into the advisory of a Decision Support Tool (DST). Several groups such at NASA-Ames, Lincoln Laboratories, and MITRE are integrating convective weather data with DSTs. A survey of current convective weather forecast and observation data show they span a wide range of temporal and spatial resolutions. Short range convective observations can be obtained every 5 mins with longer range forecasts out to several days updated every 6 hrs. Today, the short range forecasts of less than 2 hours have a temporal resolution of 5 mins. Beyond 2 hours, forecasts have much lower temporal. resolution of typically 1 hour. Spatial resolutions vary from 1km for short range to 40km for longer range forecasts. Improving the accuracy of long range convective forecasts is a major challenge. A report published by the National Research Council states improvements for convective forecasts for the 2 to 6 hour time frame will only be achieved for a limited set of convective phenomena in the next 5 to 10 years. Improved longer range forecasts will be probabilistic a
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309176034
Category : Science
Languages : en
Pages : 119
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Book Description
Each time we see grim pictures of aircraft wreckage on a rain-drenched crash site, or scenes of tired holiday travelers stranded in snow-covered airports, we are reminded of the harsh impact that weather can have on the flying public. This book examines issues that affect the provision of national aviation weather services and related research and technology development efforts. It also discusses fragmentation of responsibilities and resources, which leads to a less-than-optimal use of available weather information and examines alternatives for responding to this situation. In particular, it develops an approach whereby the federal government could provide stronger leadership to improve cooperation and coordination among aviation weather providers and users.
Author: Steven I. Krich
Publisher:
ISBN:
Category : Meteorology in aeronautics
Languages : en
Pages : 124
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Book Description
The report summarizes the results of a study to: (1) investigate the primary needs of air traffic controllers, flow controllers, and central flow controllers for weather information, (2) define a cost effective system concept to meet these needs, and (3) lay out a plan for the development of the proposed weather subsystem to support Air Traffic Control. The recommended system will provide rapid generation and dissemination of reliable user oriented observations and very short range severe weather forecasts (up to 30 min.) to facilitate controller planning. This new capability will: (1) reduce weather induced controller work load peaks, (2) permit controllers to coordinate and preplan aircraft rerouting for weather avoidance, (3) achieve an improved balance between the inefficiency of overreaction and the essentials of safety, (4) facilitate controller response to pilot requests for weather data on a work load permitting basis, and (5) enable the issuance of accurate weather advisories. The system will also provide rapid generation and dissemination of reliable short range forecasts (up to 4 hours) to permit early introduction of necessary flow control procedures. This new capability will: (1) decrease problems for controllers, (2) increase acceptance of flow control, and (3) increase traffic flow efficiency without decreasing safety.
Author: David A. Powner
Publisher: DIANE Publishing
ISBN: 1437941168
Category : Nature
Languages : en
Pages : 35
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Book Description
This is a print on demand edition of a hard to find publication. The National Weather Service's (NWS) weather products are a vital component of the FAA¿s air traffic control system. In addition to providing aviation weather products developed at its own facilities, NWS also provides on-site staff at each of FAA's en route centers -- the facilities that control high-altitude flight outside the airport tower and terminal areas. NWS and FAA have been exploring options for improving the aviation weather services provided at en route centers. This report: (1) determines the status of the agencies' efforts to restructure aviation weather services; (2) assesses the agencies' progress in establishing performance baselines in order to measure the effect of any changes; and (3) evaluates plans to address key challenges. Ill.
Author: Khalid, Saifullah
Publisher: IGI Global
ISBN:
Category : Transportation
Languages : en
Pages : 552
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Book Description
The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress. New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry.
Author: National Aviation Weather Services Committee
Publisher: National Academies Press
ISBN: 0309596599
Category : Political Science
Languages : en
Pages : 120
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Book Description
Each time we see grim pictures of aircraft wreckage on a rain-drenched crash site, or scenes of tired holiday travelers stranded in snow-covered airports, we are reminded of the harsh impact that weather can have on the flying public. This book examines issues that affect the provision of national aviation weather services and related research and technology development efforts. It also discusses fragmentation of responsibilities and resources, which leads to a less-than-optimal use of available weather information and examines alternatives for responding to this situation. In particular, it develops an approach whereby the federal government could provide stronger leadership to improve cooperation and coordination among aviation weather providers and users.
Author: Gurkaran Buxi
Publisher:
ISBN:
Category :
Languages : en
Pages : 178
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Book Description
Airport arrival capacity, referred to here as the airport acceptance rate (AAR), is strongly influenced by the weather in the vicinity of the airport and thus AAR prediction necessitates an airport-specific weather forecast. Weather forecasts, however, are seldom accurate in predicting the actual weather conditions. Strategic decisions, for example arrival rates in a ground delay program (GDP), must be made ahead of time, usually more than two hours, when there is an uncertainty about the future capacity. This research uses probabilistic capacity scenarios to represent the uncertainty in the future arrival capacity. A probabilistic capacity scenario is defined as a time series of AAR values with which a certain probability of realization is associated. A set of probabilistic capacity scenarios may be used to represent the uncertainty in arrival capacity at an airport over the course of the day. There has been considerable research in developing GDP models that determine efficient ground delay decisions and require probabilistic capacity scenarios as inputs. It is assumed that the capacity scenarios can be developed from weather forecasts or can be obtained from the expertise of the air traffic managers. There is, however, considerably less literature on the development of specific day-of-operation probabilistic capacity scenarios from weather forecasts. This limits the use of these GDP models in real- world application. This thesis fills that gap and presents methodologies to generate probabilistic capacity scenarios from weather forecasts. In this thesis we develop methodologies for generating probabilistic capacity scenarios using a widely available airport-specific weather forecast called the Terminal Aerodrome Forecast (TAF). These methodologies require the issued TAF forecast and the realized capacity for days in the past. We apply and assess the performance of these methodologies on four US airports: San Francisco International Airport, Boston Logan International Airport, Chicago O'Hare International Airport and Los Angeles International Airports. Though we have focused on these airports as case studies, the TAF-based scenario generation techniques can be applied to any airport. In the first methodology, TAF Clustering, the scenarios are representative capacity profiles for days having similar TAFs. Groups of similar TAFs are found using K-means clustering and the number is verified using Silhouette value. In the second methodology, Dynamic Time Warping (DTW) Scenarios, the scenarios are the actual realized capacity profiles for days that have similar TAFs. The similarity between TAFs is determined using a statistical technique for comparing multidimensional time series called DTW. DTW Scenarios uses three airport specific input parameters. These parameters control the numbers and the probabilities of the scenarios. We determine the values of the parameters through optimization to maximize the performance of the scenarios through minimizing average delay costs. The optimal values are determined through a specialized algorithm designed for situations where evaluating the objective function is computationally expensive. For San Francisco International Airport we also use another forecast: the San Francisco Marine Initiative forecast (STRATUS) to develop the scenarios. In this methodology called, Fog burn-off clustering, the scenarios are representative capacity profiles for days that have the fog burn-off time in the same quarter hour. We measure the efficacy of the various scenario generation methodologies in a real world setting based on 45 historic days for each of the four case-study airports. For each day, the generated scenarios are provided as inputs to a static stochastic ground delay model (SSGDM) that determines the series of planned arrival rates that minimize the sum of ground delay costs and expected air delay costs, assuming that the plan is not adjusted to evolving information. The ground delay is determined directly from the SSGDM whereas the realized air delay is determined from a queuing diagram based on the planned arrival rate and the realized arrival capacity. The realized delay costs are averaged over 45 days for each airport, and is the metric used to compare the different scenario generation methodologies. Employing this approach, we compare the different methods for capacity scenario generation against each other and against two other reference cases. Under the first reference case, Naïve Clustering, the scenarios are developed from historical capacity data without the use of the weather forecast. Groups of similar arrival profiles are determined though K-means clustering. In the second reference case, Perfect Information, we assume that the GDP is planned based on perfect information about the future arrival capacity. Our results show that, on average, scenarios generated using the TAF-based DTW method results in the lowest delay cost amongst all scenario based methodologies. It is shown that capacity scenarios generated using day-of-operation weather forecasts can reduce the cost of delays by 5%-30% compared to scenarios that do not make use of weather forecast. The benefit of the TAF based approach is more pronounced on days that have a greater capacity-demand imbalance when compared to Naïve Clustering.
Author: Charles Meade
Publisher: Rand Corporation
ISBN: 9780833034427
Category : Nature
Languages : en
Pages : 88
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Book Description
The economic costs of natural hazards are escalating. Rising population in high-risk areas and our increasingly complex infrastructure further increase potential losses. The largest amount of federal funding supports research on weather hazards¾especially short-term prediction¾with comparatively little research on long-term loss reduction approaches that improve the resilience of communities and infrastructure. Improving loss data and modeling and a establishing more thoughtful framework for the role of research would help policymakers formulate a more productive hazard loss reduction strategy.
