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Paper Abstract and Keywords
Presentation 2021-12-16 13:05
MULTI MODEL OUTPUT PERFORMANCES IN PREDICTING WEATHER ON FLIGHT ROUTE IN INDONESIA
Dani Irwansyah (BMKG), Muhammad Arif Munandar (Center for Environmental Remote Sensing, Chiba University 1-33,), Heri Ismanto, Bayu Umbaran, Ahmad Kosasih, Muchamat Agus Fitrianto (BMKG) SANE2021-71
Abstract (in Japanese) (See Japanese page) 
(in English) In the aviation sector, weather phenomena greatly affect on flight efficiency and regularity. The presence of convective clouds, wind direction and wind speed, temperature, and freezing level are needs to be considered of weather information. One of the meteorological data sources is from the ARPEGE 0.5, NCEP/GFS 0.5, and ECMWF/IFS 0.5. The aim this study was to analyse the performance forecast output from the weather model by qualitative?s observational data. Based on the verification between the output of the weather model and the observation data for a flight route in Indonesia, from Palangka Raya (WAGG) to Cengkareng (WIII), it shows that in the climb out position an altitude of 35,500 feet and the descent position with an altitude of 14,575 feet, there are Cumulonimbus clouds. It was recorded at the EGUKO, SAGAS waypoints because the aircraft entered the Cumulonimbus cloud area. The results of these observations if compared to flight documents data issued by BMKG at the time of the release position takeoff-climb, cruising, and descent-approach have high accuracy. Based on the Wind temp for the Palangka Raya to Cengkareng route, generally the wind direction from North East (NE) - East (E) with windspeed of 10-20 knots, temperature -44?C to 29 ?C. The results with high accuracy of weather models can improve flight safety.
Keyword (in Japanese) (See Japanese page) 
(in English) Numerical Weather Prediction / Aviation / Cumulonimbus / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 306, SANE2021-71, pp. 43-51, Dec. 2021.
Paper # SANE2021-71 
Date of Issue 2021-12-09 (SANE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SANE  
Conference Date 2021-12-16 - 2021-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Radar, Remote Sensing and general issues 
Paper Information
Registration To SANE 
Conference Code 2021-12-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) MULTI MODEL OUTPUT PERFORMANCES IN PREDICTING WEATHER ON FLIGHT ROUTE IN INDONESIA 
Sub Title (in English)  
Keyword(1) Numerical Weather Prediction  
Keyword(2) Aviation  
Keyword(3) Cumulonimbus  
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1st Author's Name Dani Irwansyah  
1st Author's Affiliation Meteorological Climatological and Geophysical Agency (BMKG)
2nd Author's Name Muhammad Arif Munandar  
2nd Author's Affiliation Center for Environmental Remote Sensing, Chiba University 1-33, (Center for Environmental Remote Sensing, Chiba University 1-33,)
3rd Author's Name Heri Ismanto  
3rd Author's Affiliation Meteorological Climatological and Geophysical Agency (BMKG)
4th Author's Name Bayu Umbaran  
4th Author's Affiliation Meteorological Climatological and Geophysical Agency (BMKG)
5th Author's Name Ahmad Kosasih  
5th Author's Affiliation Meteorological Climatological and Geophysical Agency (BMKG)
6th Author's Name Muchamat Agus Fitrianto  
6th Author's Affiliation Meteorological Climatological and Geophysical Agency (BMKG)
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Speaker Author-2 
Date Time 2021-12-16 13:05:00 
Presentation Time 20 minutes 
Registration for SANE 
Paper # SANE2021-71 
Volume (vol) vol.121 
Number (no) no.306 
Page pp.43-51 
#Pages
Date of Issue 2021-12-09 (SANE) 


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