Diurnal asymmetry of surface temperature trends over India

Other

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

28

Meteorology And Atmospheric Dynamics: Climatology

Scientific paper

Diurnal asymmetry of the recent surface warming, reported for several continental areas, is believed to be related to changes in cloudiness, humidity, atmospheric circulation patterns, winds and soil moisture. This paper presents linear trend analyses of maximum and minimum temperature data at 121 stations in India during the period 1901-87. While the mean temperature trends over India are similar to the global and hemispheric trends, there are marked differences in their diurnal manifestation from those reported for other areas. The increase in the mean temperatures over India is almost solely contributed by the maximum temperatures, with the minimum temperatures remaining practically trendless, leading to an increase in the diurnal range of temperatures. These trends do not show any significant urban or altitude bias. There are some differences in the trends on smaller spatial and temporal scales, but the increase of maximum temperature is predominant over a major part of India, particularly in winter and post-monsoon seasons.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Diurnal asymmetry of surface temperature trends over India does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Diurnal asymmetry of surface temperature trends over India, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Diurnal asymmetry of surface temperature trends over India will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1256976

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.