NDLI: Effects of weather condition on aircraft emissions in climb phase

Content Provider	IEEE Xplore Digital Library
Author	Serafino, G. Mininel, S. Stecco, G. Nolich, M. Ukovich, W. Pedroncelli, G.
Copyright Year	2012
Description	Author affiliation: Maria Pia Fanti Dipt. di Ing. e Architettura, Univ. degli Studi di Trieste, Trieste, Italy (Mininel, S.; Stecco, G.; Nolich, M.; Ukovich, W.; Pedroncelli, G.)
Abstract	Aircraft trajectory optimization is highly sensitive to atmospheric conditions; pressure, relative humidity, temperature, wind intensity and direction have various influences on thrust needed and the resulting air pollutant emissions. The airline flight plans are generally pre-calculated before take off in order to optimize fuel consumption, using information from weather predictions that may not be accurate enough. In this paper an evaluation of weather prediction accuracy and, in the case of inaccurate predictions, a comparison of estimated emissions of some flights in climb phase for different weather conditions are presented. Weather data used are from National Oceanic and Atmospheric Administration (NOAA) public domain data, specifically the GRIB (Gridded Binary) files of the 20 Km RAP (Rapid Refresh) model, containing the analysis of real weather of a certain day/hour and the forecasts of the following 18 hours. In order to better understand the relation between weather conditions and aircraft emissions we report a comparison between estimated emissions (fuel, CO2 and NOX) of a real trajectory calculated with real weather data and with predicted weather data (forecasts for 1h, 3h and 6h). In order to evaluate accuracy of forecasts we consider radar reflectivity and wind. Regarding evaluation of the presence of potentially dangerous clouds (level 2 or more), a threshold filter has been used to select regions above 36 dBZ in the weather analysis and in a previous forecast related to the same hour. In the first step, the radar reflectivity and wind of real USA weather data from four days of June 2012 were compared with the forecasts, using the Tanimoto Similarity Index for measuring accuracy. Given the exact shape on a grid of the region (in this case, the current weather analysis) and its approximation (in this case the forecast), the Tanimoto Index (TI) is defined as the number of “pixels” of intersection on the number of pixels of the union of the two images. Then each one of the weather analyses for the 4 days considered (96 hours total) was compared with the forecasts for that time from 1 to 6 hours before, computing the Tanimoto index and the total cloud coverage with a threshold at 36 dBz. Furthermore, the wind intensity and direction forecasts were analyzed, and the mean value and variance of the difference between real weather condition and forecasts are presented. In a second step, from the analysis of the results of the first step, we selected some regions where cloud and wind analysis were substantially different from forecasts. In this scenario, the climb phases from real aircraft trajectories were collected from the FlightAware database. In the region of bad weather, we selected the trajectories that were significantly different from those made from the same aircraft in days of good weather. The related emissions were estimated and compared with the emissions of the same trajectory using forecasted weather. The emission estimation model is based on BADA (Base of Performance Data) from EUROCONTROL, ICAO and weather data.
Sponsorship	Aerosp. Electron. Syst. Soc.
File Size	1467537
File Format	PDF
ISBN	9781467316996
ISSN	21557195
e-ISBN	9781467317009
DOI	10.1109/DASC.2012.6382306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind forecasting Aircraft Atmospheric modeling Trajectory Clouds
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Aerospace Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Effects of weather condition on aircraft emissions in climb phase: Selex Galileo & dia trieste

Automated arrival management: Effects of descent trajectory prediction errors on metering conformance

Wind analysis in aviation applications

Time-based arrival management concept with mixed FMS equipage

Robust airspace design methods for uncertain traffic and weather

A comparative study of Interval Management control law capabilities

Flight path optimization for minimizing emissions and avoiding weather hazard

Trajectory generation for aircraft subject to dynamic weather uncertainty

Assessment of imperfect weather forecasts on airline and passenger planning

Effects of weather condition on aircraft emissions in climb phase

Similar Documents

Effects of weather condition on aircraft emissions in climb phase: Selex Galileo & dia trieste

Automated arrival management: Effects of descent trajectory prediction errors on metering conformance

Wind analysis in aviation applications

Time-based arrival management concept with mixed FMS equipage

Robust airspace design methods for uncertain traffic and weather

A comparative study of Interval Management control law capabilities

Flight path optimization for minimizing emissions and avoiding weather hazard

Trajectory generation for aircraft subject to dynamic weather uncertainty

Assessment of imperfect weather forecasts on airline and passenger planning

Effects of weather condition on aircraft emissions in climb phase