SatCAT: Using satellite data to improve safety and routing efficiency in the aviation industry.
SatCAT: Using satellite data to improve safety and routing efficiency in the aviation industry.
批准号:
NE/R013144/1
负责人:
Simon Proud
金额:
$47.67万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
Turbulence is an important safety consideration for commercial air transport: Crashes caused by turbulence are exceedingly rare, but injuries to passengers and crew are a weekly occurrence. It can often strike without warning, particularly "clear air turbulence" that is very difficult to detect, meaning that the seat belt sign may be switched off and people will be moving about the cabin. In this situation, people can be thrown off their feet, injuring themselves in the process, and any loose items (such as laptops) can become hazardous projectiles.Airlines and pilots therefore plan routes that avoid potential areas of turbulence and - once in the air - will alter course whenever possible if they suspect severe turbulence is ahead. This, however, relies on adequate warning being available: It is impossible to avoid turbulence if you do not know it is there. Weather forecasts provide turbulence warnings, but these are often inaccurate - showing turbulence where none exists or failing to forecast turbulence when it does exist. Similarly, it is very hard to detect turbulence from the cockpit. Clear air turbulence is invisible and storm-associated turbulence is hard to decipher. A particular challenge is to work out by how far an aircraft needs to avoid storm clouds in order to remain clear of turbulence.In this fellowship, I aim to increase our knowledge of turbulence in order to help to provide new guidance to pilots on how to avoid storm turbulence. I will produce a new method that will detect turbulence from space using the latest weather satellite technology, enabling better flight planning and helping airlines to avoid turbulence: Keeping their passengers safe and saving money by reducing the need for unnecessary flight plan changes around non-existent turbulence. By working with weather forecasting experts at the Met Office and University of Reading I will seek to improve our ability to forecast turbulence, allowing airlines not only to avoid turbulence in-flight but also to allow better advance planning of turbulence-free routes before take-off.
期刊论文(9)
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科研奖励(0)
会议论文
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DOI:
10.5194/essd-12-2121-2020
发表时间:
2020
期刊:
Earth System Science Data
影响因子:
11.4
作者:
[Poulsen C]
通讯作者:
Poulsen C
DOI:
10.5194/amt-2021-422
发表时间:
2022-01
期刊:
Atmospheric Measurement Techniques
影响因子:
3.8
作者:
[D. Robbins;C. Poulsen;S. Siems;S. Proud]
通讯作者:
D. Robbins;C. Poulsen;S. Siems;S. Proud
DOI:
10.1002/essoar.10507359.1
发表时间:
2021
期刊:
影响因子:
--
作者:
[Klöwer M]
通讯作者:
Klöwer M
Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: Application to the 2019 Raikoke eruption
使用 ORAC 算法对火山灰云属性进行不确定性估计:在 2019 年 Raikoke 喷发中的应用
DOI:
10.5194/amt-2022-166
发表时间:
2022
期刊:
影响因子:
--
作者:
[Prata A]
通讯作者:
Prata A
Go-Around Detection Using Crowd-Sourced ADS-B Position Data
使用众包 ADS-B 位置数据进行复飞检测
DOI:
10.3390/aerospace7020016
发表时间:
2020
期刊:
Aerospace
影响因子:
2.6
作者:
[Proud S]
通讯作者:
Proud S
共 6 条
COVID 19 - Reduced Air Traffic due to Coronavirus, Environmental Impacts
-
批准号:NE/V00946X/1
-
项目类别:Research Grant
-
资助金额:$9.01万
-
财政年份:2020
-
负责人:Simon Proud
-
依托单位:
国内基金
海外基金
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
-
批准号:52073127
-
项目类别:面上项目
-
资助金额:58.0万元
-
批准年份:2020
-
负责人:Alidad Amirfazli
-
依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
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批准号:31070748
-
项目类别:面上项目
-
资助金额:34.0万元
-
批准年份:2010
-
负责人:Christine Nardini
-
依托单位: