Abstract
We assembled daily precipitation records, initially for 3838 stations, throughout India and ultimately identified 129 stations with reasonably complete records over the period 1910 to 2000. From these daily records, we generated annual time series of seven different indices of extreme precipitation events, including total precipitation, largest 1, 5, and 30 day totals, and the number of daily events above the amount that marks the 90th, 95th, and 97.5th percentiles of all precipitation at each station. Of the 903 different time series (seven variables for 129 stations), 114 had a significant upward trend and 61 had a significant downward trend; overall, 61% of the time series showed an upward trend. The standard regression coefficients showing the strength and sign of the trend were highly correlated across the network. They generally showed increasing values in a contiguous region extending from the northwestern Himalayas in Kashmir through most of the Deccan Plateau in the south and decreasing values in the eastern part of the Gangetic Plain and parts of Uttaranchal. Our results are in general agreement with the prediction from numerical models for an increase in extreme precipitation events in India given the ongoing build-up of greenhouse gases.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 457-466 |
| Number of pages | 10 |
| Journal | International Journal of Climatology |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| State | Published - Mar 30 2004 |
| Externally published | Yes |
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Keywords
- Climate change
- Extreme precipitation events
- India
- Precipitation
ASJC Scopus subject areas
- Atmospheric Science
Cite this
Trends in extreme daily precipitation indices in India. / Roy, Shouraseni S; Balling, Robert C.
In: International Journal of Climatology, Vol. 24, No. 4, 30.03.2004, p. 457-466.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Trends in extreme daily precipitation indices in India
AU - Roy, Shouraseni S
AU - Balling, Robert C.
PY - 2004/3/30
Y1 - 2004/3/30
N2 - We assembled daily precipitation records, initially for 3838 stations, throughout India and ultimately identified 129 stations with reasonably complete records over the period 1910 to 2000. From these daily records, we generated annual time series of seven different indices of extreme precipitation events, including total precipitation, largest 1, 5, and 30 day totals, and the number of daily events above the amount that marks the 90th, 95th, and 97.5th percentiles of all precipitation at each station. Of the 903 different time series (seven variables for 129 stations), 114 had a significant upward trend and 61 had a significant downward trend; overall, 61% of the time series showed an upward trend. The standard regression coefficients showing the strength and sign of the trend were highly correlated across the network. They generally showed increasing values in a contiguous region extending from the northwestern Himalayas in Kashmir through most of the Deccan Plateau in the south and decreasing values in the eastern part of the Gangetic Plain and parts of Uttaranchal. Our results are in general agreement with the prediction from numerical models for an increase in extreme precipitation events in India given the ongoing build-up of greenhouse gases.
AB - We assembled daily precipitation records, initially for 3838 stations, throughout India and ultimately identified 129 stations with reasonably complete records over the period 1910 to 2000. From these daily records, we generated annual time series of seven different indices of extreme precipitation events, including total precipitation, largest 1, 5, and 30 day totals, and the number of daily events above the amount that marks the 90th, 95th, and 97.5th percentiles of all precipitation at each station. Of the 903 different time series (seven variables for 129 stations), 114 had a significant upward trend and 61 had a significant downward trend; overall, 61% of the time series showed an upward trend. The standard regression coefficients showing the strength and sign of the trend were highly correlated across the network. They generally showed increasing values in a contiguous region extending from the northwestern Himalayas in Kashmir through most of the Deccan Plateau in the south and decreasing values in the eastern part of the Gangetic Plain and parts of Uttaranchal. Our results are in general agreement with the prediction from numerical models for an increase in extreme precipitation events in India given the ongoing build-up of greenhouse gases.
KW - Climate change
KW - Extreme precipitation events
KW - India
KW - Precipitation
UR - http://www.scopus.com/inward/record.url?scp=2142716906&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2142716906&partnerID=8YFLogxK
U2 - 10.1002/joc.995
DO - 10.1002/joc.995
M3 - Article
AN - SCOPUS:2142716906
VL - 24
SP - 457
EP - 466
JO - International Journal of Climatology
JF - International Journal of Climatology
SN - 0899-8418
IS - 4
ER -