利用再分析模型和 INSAT-3D/3DR 卫星数据分析 2021-2022 年冬季的大雾事件

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
MAUSAM Pub Date : 2023-12-31 DOI:10.54302/mausam.v75i1.5916
Nishtha Sehgal, Tanvi Malhan, R. K. Giri, Ramashray Yadav, Yogesh Kumar, Laxmi Pathak, आवद्कता हस।
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引用次数: 0

摘要

这项研究的目标有两个方面:(i)审查印度空间研究中心(ISRO)空间应用中心(SAC)制定的 INSAT-3D/3DR 夜间雾探测信道差分(MIR-TIR1)计划,该计划对冬季辐射雾的阈值并不统一,而且在印度域内存在地理差异;(ii)利用 NCEP 再分析和ERA-5 数据集的异常(温度、风、湿度、反转、地球电位高度等)分析 2021-2022 年冬季的雾事件。这项研究为研究近期引入的再分析模式数据集在监测和了解近期雾事件行为变化方面的重要性提供了一个思路。可以看出,冬季(2021-2022 年)的雾事件明显减少,这一变化确实令人担忧,但 2021-22 年冬季的雾事件在两种模式以及 INSAT-3D/3DR 数据分析中都得到了很好的捕捉。模型和卫星数据分析得出的结果对预报员和最终用户非常有用,特别是在监测和预测雾事件方面。 不过,要根据 INSAT 数据量化印度不同地区的夜间雾阈值,以及近期雾事件的显著减少,还需要进行长期数据集研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of fog events in respect of winter season 2021-2022 using model reanalysis & INSAT-3D/3DR satellite data
The objective of the study was twofold (i) Review of INSAT-3D/3DR night time fog detection channel differencing (MIR- TIR1) scheme developed by Space Application Centre (SAC) Indian Space Research Centre (ISRO) thresholds  which were not uniform for winter season radiation fog and vary geographically over Indian domain & (ii) An analysis of Fog events of 2021-2022 winter season analysis using the anomalies (temperature, wind, moisture, inversion, geo-potential height etc) from NCEP reanalysis and ERA-5 data sets. This study is a way forward to look into the importance of recently introduced model reanalysis data sets to monitor and understand the recent changes of fog events behaviour. It is seen that the fog events winter season (2021-2022) was reduced appreciably and this change is really a concern but 2021-22 winter fog occurrences were very well captured in both models as well as INSAT-3D/3DR data analysis. The results brought out from the model as well as satellite data analysis were found to be very useful for forecasters and end users especially in monitoring and prediction of fog events.  However, to quantify the night time fog thresholds based on INSAT data for different regions of India and appreciable reduction of fog events in the recent past needs long term data sets study.
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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