2020- 2021年冬季新德里IGI机场雾/能见度预报及验证2021 - 22

Q4 Computer Science 测绘地理信息 Pub Date : 2023-10-31 DOI:10.58825/jog.2023.17.2.33
Anuradha Chahar, None Arun S H, Charan Singh, Sebin John
{"title":"2020- 2021年冬季新德里IGI机场雾/能见度预报及验证2021 - 22","authors":"Anuradha Chahar, None Arun S H, Charan Singh, Sebin John","doi":"10.58825/jog.2023.17.2.33","DOIUrl":null,"url":null,"abstract":"The reduction in visibility due to fog leads to cancellation of flights, delays and diversions at IGI Airport, New Delhi during the winter season. Accurate prediction of fog/ visibility is required within sufficient lead time to make the flight operations safer, economical and more convenient. This study attempts to improve the fog/visibility forecast at IGI airport for the months of December and January during the winter seasons of 2020-21 and 2021-22. Various meteorological parameters required to predict the fog/visibility are obtained from IMD GFS forecasted meteorological information which are valid for next 24 and 48-hours. Forecast verification was performed using the METAR and synoptic observations. The results for 2020-21 fog/visibility forecast for 24-hours are promising with a POD of 0.92, critical success index as 0.68, and false alarm ratio as 0.28. Moreover, the 2021-22 results for 24 -hours fog /visibility forecast are also observed to be promising with a POD of 0.73, critical success index of 0.54 and false alarm ratio at 0.32. This method gives fairly accurate predictions in point locations and can also be used for a larger spatial area. However, the 48-hours forecast performance needs further improvement. The method also predicted the wind speed and relative humidity which were found to be in agreement with the observed data to a great extent. In the upcoming years, the fog/visibility forecast method will be more robust with better prediction accuracy of meteorological parameters from model outputs and observations.
","PeriodicalId":53688,"journal":{"name":"测绘地理信息","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FOG/VISIBILITY FORECAST AND VERIFICATION AT IGI AIRPORT, NEW DELHI DURING THE WINTER SEASONS OF 2020-21 & 2021-22\",\"authors\":\"Anuradha Chahar, None Arun S H, Charan Singh, Sebin John\",\"doi\":\"10.58825/jog.2023.17.2.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The reduction in visibility due to fog leads to cancellation of flights, delays and diversions at IGI Airport, New Delhi during the winter season. Accurate prediction of fog/ visibility is required within sufficient lead time to make the flight operations safer, economical and more convenient. This study attempts to improve the fog/visibility forecast at IGI airport for the months of December and January during the winter seasons of 2020-21 and 2021-22. Various meteorological parameters required to predict the fog/visibility are obtained from IMD GFS forecasted meteorological information which are valid for next 24 and 48-hours. Forecast verification was performed using the METAR and synoptic observations. The results for 2020-21 fog/visibility forecast for 24-hours are promising with a POD of 0.92, critical success index as 0.68, and false alarm ratio as 0.28. Moreover, the 2021-22 results for 24 -hours fog /visibility forecast are also observed to be promising with a POD of 0.73, critical success index of 0.54 and false alarm ratio at 0.32. This method gives fairly accurate predictions in point locations and can also be used for a larger spatial area. However, the 48-hours forecast performance needs further improvement. The method also predicted the wind speed and relative humidity which were found to be in agreement with the observed data to a great extent. In the upcoming years, the fog/visibility forecast method will be more robust with better prediction accuracy of meteorological parameters from model outputs and observations.
\",\"PeriodicalId\":53688,\"journal\":{\"name\":\"测绘地理信息\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"测绘地理信息\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58825/jog.2023.17.2.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"测绘地理信息","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58825/jog.2023.17.2.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

摘要

在冬季,大雾导致能见度降低,导致新德里IGI机场航班取消、延误和备降。为了使飞行操作更安全、经济和方便,需要在足够的提前时间内准确预测雾/能见度。本研究试图改进2020-21年和2021-22年冬季IGI机场12月和1月的雾/能见度预报。预报雾/能见度所需的各种气象参数,是由IMD GFS预测未来24及48小时内有效的气象资料取得。预报验证使用METAR和天气观测。2020-21年24小时雾/能见度预报的POD值为0.92,临界成功指数为0.68,虚警率为0.28。此外,2021-22年的24小时雾/能见度预报结果也很有希望,POD为0.73,临界成功指数为0.54,误报率为0.32。这种方法在点位置上给出了相当准确的预测,也可以用于更大的空间区域。然而,48小时预报性能有待进一步提高。该方法对风速和相对湿度的预测结果与实测数据吻合较好。在未来几年,雾/能见度预报方法将更加稳健,根据模式输出和观测资料对气象参数的预测精度将会提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
FOG/VISIBILITY FORECAST AND VERIFICATION AT IGI AIRPORT, NEW DELHI DURING THE WINTER SEASONS OF 2020-21 & 2021-22
The reduction in visibility due to fog leads to cancellation of flights, delays and diversions at IGI Airport, New Delhi during the winter season. Accurate prediction of fog/ visibility is required within sufficient lead time to make the flight operations safer, economical and more convenient. This study attempts to improve the fog/visibility forecast at IGI airport for the months of December and January during the winter seasons of 2020-21 and 2021-22. Various meteorological parameters required to predict the fog/visibility are obtained from IMD GFS forecasted meteorological information which are valid for next 24 and 48-hours. Forecast verification was performed using the METAR and synoptic observations. The results for 2020-21 fog/visibility forecast for 24-hours are promising with a POD of 0.92, critical success index as 0.68, and false alarm ratio as 0.28. Moreover, the 2021-22 results for 24 -hours fog /visibility forecast are also observed to be promising with a POD of 0.73, critical success index of 0.54 and false alarm ratio at 0.32. This method gives fairly accurate predictions in point locations and can also be used for a larger spatial area. However, the 48-hours forecast performance needs further improvement. The method also predicted the wind speed and relative humidity which were found to be in agreement with the observed data to a great extent. In the upcoming years, the fog/visibility forecast method will be more robust with better prediction accuracy of meteorological parameters from model outputs and observations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
测绘地理信息
测绘地理信息 Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.20
自引率
0.00%
发文量
4458
期刊介绍:
期刊最新文献
WebGIS Based Road Crash Information System: A Case Study Site Suitability Assessment for Petroleum hubs and Oil retail assets in the Jomoro District: A Hybrid Approach using Fuzzy AHP and VIKOR Method Analytical study of relation between Land surface temperature and Land Use/Land Cover using spectral indices: A case study of Chandigarh Evaluation of Slope Correction Methods to Improve Surface Elevation Change Estimation over Antarctic Ice Sheet using SARAL/AltiKa Development of Machine Learning based Models for Multivariate Prediction of Wheat Crop Yield in Uttar Pradesh, India
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1