Skip to main content
Log in

A study to improve the fog/visibility forecast at IGI Airport, New Delhi during the winter season 2020–2021

  • Published:
Journal of Earth System Science Aims and scope Submit manuscript

Abstract

Fog and associated significant reduced visibility lead to flight cancellation, delay and diversion at IGI airport during the winter months every year. In the present study, a 24-hr and 48-hr fog/visibility forecast with value addition method has been implemented at IGI airport during the months of December and January, 2020–2021. The meteorological parameters information related to fog is obtained from IMD-GFS model outputs. A detailed forecast verification has also been carried out using the METAR and synoptic observations. Results indicated that the 24-hr fog/visibility forecast has promising skill score with a hit rate of 0.92 and Critical Success Index (CSI) of 0.68, whereas the false alarm ratio (0.28) is quite low. This indicates that the method has reasonable predictive accuracy and can be used for fog/visibility forecasting at regional scale. However, the 48-hr forecast scheme performance needs to be improved. In addition, detailed analysis has also been performed on various surface meteorological parameters such as wind speed and relative humidity during the period and the results were in agreement with the fog/visibility observations in most of the cases. In future, the current fog/visibility forecasting method would be further improved with increased robustness of the models used and also be objective.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5

Similar content being viewed by others

References

  • Arun S H, Sharma S K, Chaurasia S, Vaishnav R and Kumar R 2018a Fog/low clouds detection over the Delhi Earth Station using the Ceilometer and the INSAT-3D/3DR satellite data; Int. J. Remote Sens. 39(12) 4130–4144.

    Article  Google Scholar 

  • Arun S H, Chaurasia S, Misra A and Kumar R 2018b Fog stability index: A novel technique for fog/low clouds detection using multi-satellites data over the Indo-Gangetic plains during winter season; Int. J. Remote Sens. 39(22) 8200–8218.

    Article  Google Scholar 

  • Bergot T and Koracin D 2021 Observation, simulation and predictability of fog: Review and perspectives; Atmosphere 12(2) 235, https://doi.org/10.3390/atmos12020235.

    Article  Google Scholar 

  • Bendix J and Bachmann M 1991 Ein operational einsetzbares Verfahren zur Nebelerkennung auf der Basis von AVHRR-Daten der NOAA-Satelliten; Meterol. Rundsch. 43(6) 169–178.

    Google Scholar 

  • Bendix J, Cermak J and Thies B 2004 New perspectives in remote sensing of fog and low stratus-TERRA/AQUA-MODIS and MSG; In: Third International Conference on Fog, Cape Town 11(15.10).

  • Bhowmik S K R, Sud A M and Singh C 2004 Forecasting fog over Delhi – An objective method; Mausam 55(2) 313–322.

    Article  Google Scholar 

  • Bhushan B, Trivedi H K N, Bhatia R C, Dube R K, Giri R K and Negi R S 2003 On the persistence of fog over northern parts of India; Mausam 54(4) 851–860.

    Article  Google Scholar 

  • Chaurasia S, Sathiyamoorthy V, Paul Shukla B, Simon B Joshi and Pal P K 2011 Night-time fog detection using MODIS data over Northern India; Meteorol. Appl. 18(4) 483–494.

    Article  Google Scholar 

  • Choudhury S, Rajpal H, Saraf A K and Panda S 2007 Mapping and forecasting of North Indian winter fog: An application of spatial technologies; Int. J. Remote Sens. 28(16) 3649–3663.

    Article  Google Scholar 

  • Dey S 2018 On the theoretical aspects of improved fog detection and prediction in India; Atmos. Res. 202 77–80.

    Article  Google Scholar 

  • Dhangar N G, Lal D M, Ghude S D, Kulkarni R, Parde A N, Pithani P, Niranjan K, Prasad D S, Jena C, Sajjan V S and Prabhakaran T 2021 On the conditions for onset and development of fog over New Delhi: An observational study from the WiFEX; Pure Appl. Geophys. 178(9) 3727–3746.

    Article  Google Scholar 

  • Dutta D and Chaudhuri S 2015 Nowcasting visibility during wintertime fog over the airport of a metropolis of India: Decision tree algorithm and artificial neural network approach; Nat. Hazards (Dordr) 75(2) 1349–1368.

    Article  Google Scholar 

  • Ellrod G P 1995 Advances in the detection and analysis of fog at night using GOES multispectral infrared imagery; Wea. Forecast. 10(3) 606–619.

    Article  Google Scholar 

  • Ghude S D, Bhat G S, Prabhakaran T, Jenamani R K, Chate D M, Safai P D, Karipot A K, Konwar M, Pithani P, Sinha V and Rao P S P 2017 Winter fog experiment over the Indo-Gangetic plains of India; Curr. Sci. 112(4) 767–784.

    Article  Google Scholar 

  • Goswami P and Sarkar S 2017 An analogue dynamical model for forecasting fog-induced visibility: Validation over Delhi; Meteorol. Appl. 24(3) 360–375.

    Article  Google Scholar 

  • Goswami S, Chaudhuri S, Das D, Sarkar I and Basu D 2020 Adaptive neuro-fuzzy inference system to estimate the predictability of visibility during fog over Delhi, India; Meteorol. Appl. 27(2) 1900.

    Article  Google Scholar 

  • Guijo-Rubio D, Gutiérrez P A, Casanova-Mateo C, Sanz-Justo J, Salcedo-Sanz S and Hervás-Martínez C 2018 Prediction of low-visibility events due to fog using ordinal classification; Atmos. Res. 214 64–73.

    Article  Google Scholar 

  • Gultepe I, Pagowski M and Reid J 2007 A satellite-based fog detection scheme using screen air temperature; Wea. Forecast. 22(3) 444–456.

    Article  Google Scholar 

  • Hunt G E 1973 Radiative properties of terrestrial clouds at visible and infra-red thermal window wavelengths; Quart. J. Roy. Meteorol. Soc. 99(420) 346–369.

    Google Scholar 

  • Jayakumar A, Rajagopal E N, Boutle I A, George J P, Mohandas S, Webster S and Aditi S 2018 An operational fog prediction system for Delhi using the 330 m Unified Model; Atmos. Sci. Lett. 19(1) e796.

    Article  Google Scholar 

  • Jayakumar A, Gordon H, Francis T, Hill A A, Mohandas S, Sandeepan B S, Mitra A and Beig G 2021 Delhi model with chemistry and aerosol framework (DM-Chem) for high-resolution fog forecasting; Quart. J. Roy. Meteorol. Soc., https://doi.org/10.1002/qj.4163.

    Article  Google Scholar 

  • Jenamani R K 2012 Development of intensity based fog climatological information system (daily and hourly) at IGI airport, New Delhi for use in fog forecasting and aviation; Mausam 63(1) 89–112.

    Article  Google Scholar 

  • Kulkarni R, Jenamani R K, Pithani P, Konwar M, Nigam N and Ghude S D 2019 Loss to aviation economy due to winter fog in New Delhi during the winter of 2011–2016; Atmosphere 10(4) 198.

    Article  Google Scholar 

  • Kutty S G, Agnihotri G, Dimri A P and Gultepe I 2019 Fog occurrence and associated meteorological factors over Kempegowda International Airport, India; Pure Appl. Geophys. 176(5) 2179–2190.

    Article  Google Scholar 

  • Lee T F, Turk F J and Richardson K 1997 Stratus and fog products using GOES-8–9 3.9-μm data; Wea. Forecast. 12(3) 664–677.

    Article  Google Scholar 

  • Mitra A K, Nath S and Sharma A K 2008 Fog forecasting using rule-based fuzzy inference system; J. Indian Soc. Remote Sens. 36(3) 243–253.

    Article  Google Scholar 

  • Mohapatra M and Thulasi Das A 1998 Analysis and forecasting of fog over Bangalore airport; Mausam 49 135–142.

    Article  Google Scholar 

  • Payra S and Mohan M 2014 Multirule based diagnostic approach for the fog predictions using WRF modelling tool; Adv. Meteorol., https://doi.org/10.1155/2014/456065.

    Article  Google Scholar 

  • Pithani P, Ghude S D, Chennu V N, Kulkarni R G, Steeneveld G J, Sharma A, Prabhakaran T, Chate D M, Gultepe I, Jenamani R K and Madhavan R 2019 WRF model prediction of a dense fog event occurred during the winter fog experiment (WIFEX); Pure Appl. Geophys. 176(4) 1827–1846.

    Article  Google Scholar 

  • Pithani P, Ghude S D, Jenamani R K, Biswas M, Naidu C V, Debnath S, Kulkarni R, Dhangar N G, Jena C, Hazra A and Phani R 2020 Real-time forecast of dense fog events over Delhi: The performance of the WRF model during the WIFEX field campaign; Wea. Forecast. 35(2) 739–756.

    Article  Google Scholar 

  • Saraf A K, Bora A K, Das J, Rawat V, Sharma K and Jain S K 2011 Winter fog over the Indo-Gangetic Plains: Mapping and modelling using remote sensing and GIS; Nat. Hazards (Dordr) 58(1) 199–220.

    Article  Google Scholar 

  • Singh C 2011 Unusual long and short spell of fog conditions over Delhi and northern plains of India during December–January 2009–2010; Mausam 62(1) 41–50.

    Article  Google Scholar 

  • Singh H and Dhattarwal S K 2004 Pattern and distribution of injuries in fatal road traffic accidents in Rohtak (Haryana); J. Indian Acad. Forensic Med. 26(1) 20–23.

  • Singh R K and Suman S K 2012 Accident analysis and prediction of model on national highways; Int. J. Civ. Eng. Technol. 1(2) 25–30.

    Google Scholar 

  • Singh A, George J P and Iyengar G R 2018 Prediction of fog/visibility over India using NWP Model; J Earth Sci. 127(2) 1–13.

    Google Scholar 

  • Srivastava S K, Sharma A R and Sachdeva K 2017 An observation-based climatology and forecasts of winter fog in Ghaziabad, India; Weather 72(1) 16–22.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are thankful to Dr Mrutyunjay Mohapatra, Director General of Meteorology, India Meteorological Department for providing his encouragement and support to carry out the present study. The authors express their sincere gratitude to all Met officials at IGI airport, New Delhi for their enormous support throughout the study.

Author information

Authors and Affiliations

Authors

Contributions

ASH: Conceptualization, formal analysis, investigation, methodology, validation, visualization and writing original draft. CS: Conceptualization, formal analysis, supervision and writing – review and editing. SJ: Visualization and writing – review and editing. SKD: Software. DKS: Validation. NN, CST and GK: Supervision.

Corresponding author

Correspondence to S H Arun.

Additional information

Communicated by Suresh Babu

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arun, S.H., Singh, C., John, S. et al. A study to improve the fog/visibility forecast at IGI Airport, New Delhi during the winter season 2020–2021. J Earth Syst Sci 131, 124 (2022). https://doi.org/10.1007/s12040-022-01874-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12040-022-01874-5

Keywords

Navigation