Published May 1, 2019 | Version v1
Journal article

Fog Occurrence and Associated Meteorological Factors Over Kempegowda International Airport, India

  • 1. Jawaharlal Nehru University, School of Environmental Sciences (India)
  • 2. Flood Meteorological Office, India Meteorological Department (India)

Description

The increase in fog frequency over the past few decades is a major cause of concern for the aviation and transportation sectors. Accurate forecasting of the spatio-temporal extent of fog is crucial for minimizing socioeconomic losses. The present study attempts to characterize the fog frequency and associated meteorological factors over Kempegowda International Airport, Bengaluru (KIAB), in Karnataka, India. Maximum fog occurrence is observed during the month of December, followed by January. The time of onset of fog lies usually between 1800 and 0300 UTC. No fog is formed between 0400 and 1700 UTC indicating the role of radiation fog. The predominant wind direction during fog events is east or southeasterly. There is significant positive correlation between the fog frequency and both the northeast monsoon, October–November (0.72), as well as December–January–February (DJF) rainfall (0.80). Soil moisture conditions during the DJF period also play a key role in fog occurrence and its climatology, which is evident from the correlation coefficient of order 0.68. These suggest that further research is needed for understanding the extent of impact on aviation at KIAB.

Additional details

Identifiers

Publishing Information

Journal Title
Pure and Applied Geophysics
Journal Volume
176
Journal Issue
5
Journal Page Range
p. 2179-2190
ISSN
0033-4553
CODEN
PAGYAV

INIS

Country of Publication
Switzerland
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51109714
Subject category
S54: ENVIRONMENTAL SCIENCES; S58: GEOSCIENCES;
Descriptors DEI
AIRPORTS; FOG; FORECASTING; INDIA; METEOROLOGY; MOISTURE; MONSOONS; SOILS; VISIBILITY; WIND
Descriptors DEC
ASIA; DEVELOPING COUNTRIES; STORMS

Optional Information

Copyright
Copyright (c) 2018 Springer International Publishing AG, part of Springer Nature