Abstract
Rising propensity of precipitation extremes and concomitant decline of summer-monsoon rains are amongst the most distinctive hydroclimatic signals that have emerged over South Asia since 1950s. A clear understanding of the underlying causes driving these monsoon hydroclimatic signals has remained elusive. Using a state-of-the-art global climate model with high-resolution zooming over South Asia, we demonstrate that a juxtaposition of regional land-use changes, anthropogenic-aerosol forcing and the rapid warming signal of the equatorial Indian Ocean is crucial to produce the observed monsoon weakening in recent decades. Our findings also show that this monsoonal weakening significantly enhances occurrence of localized intense precipitation events, as compared to the global-warming response. A 21st century climate projection using the same high-resolution model indicates persistent decrease of monsoonal rains and prolongation of soil drying. Critical value-additions from this study include (1) realistic simulation of the mean and long-term historical trends in the Indian monsoon rainfall (2) robust attributions of changes in moderate and heavy precipitation events over Central India (3) a 21st century projection of drying trend of the South Asian monsoon. The present findings have profound bearing on the regional water-security, which is already under severe hydrological-stress.
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Notes
There were 25 cases of monsoon droughts during 1871–2014 corresponding to the years 1873, 1877, 1899, 1901, 1904, 1905, 1911, 1918, 1920, 1941, 1951, 1965, 1966, 1968, 1972, 1974, 1979, 1982, 1985, 1986, 1987, 2002, 2004, 2009 and 2014. A monsoon-drought over India is defined when the AISMR deficiency exceeds one standard-deviation of long-term climatological mean. The June to September climatological seasonal total of AISMR is 848 mm and the standard-deviation is about 10 % of the mean (see http://www.tropmet.res.in).
The high-resolution LMDZ4 simulations with zooming over South Asia are computationally intensive and time-consuming. Therefore, the HIST1_GHG and HIST1_PIGHG time-slice simulations across different decades were performed in parallel.
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Acknowledgments
The LMDZ4 simulations were performed on the IITM HPC. We thank Director, IITM for extending full support for this research. IITM receives full support from the Ministry of Earth Sciences, Government of India. We acknowledge Josefine Ghattas and Sebastien Denvil from LMD/IPSL for computational support and M. V. S. Ramarao, CCCR for analysis and technical support. We thank the Editor Prof. Jean-Claude Duplessy and the anonymous reviewers for providing constructive comments. This work is partly supported by the NORINDIA Project 216576/e10.
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Auxiliary Figure A1
Time-series of year-wise count of heavy rainfall events (intensity ≥ 100 mm day −1) over Central India (74.5°E–86.5°E, 16.5°N–26.5°N). The counts are for the June–September monsoon season from 1951–2005 based on IMD observations (black line), HIST1 (brown solid line), HIST2 (brown dashed line), HISTNAT1 (blue solid line) and HISTNAT2 (blue dashed line). The linear least-square trends and their statistical significance are presented in Table 4. (EPS 609 kb)
Auxiliary Figure A2
Difference maps of precipitation (mm day −1 , shaded) and 850 hPa winds (ms −1 , vectors) (a) RCP4.5 minus HISTNAT1 (b) RCP4.5 minus HIST1. The mean of RCP4.5 is for the period 2006-2060. For HIST1 and HISTNAT1, the means are for the period 1951-2005. Note the persistence of weak SAM circulation and rainfall anomalies in the RCP4.5 projection. (EPS 3197 kb)
Auxiliary Figure A3
Tropospheric temperature (TT) and circulation response to anthropogenic influence: Map showing the difference in JJAS mean of TT (°C) and tropospheric circulation (vectors: ms−1) between HIST1 and HISTNAT1 for the period (1951-2005). The temperature and wind fields are vertically averaged between 600 and 200 hPa. Note that the TT response over the near-equatorial areas is warmer as compared to that of the extra-tropics (poleward of 30°N). The cyclonic circulation anomaly over West-Central Asia is associated with cold air advection and subsidence over the Indian subcontinent. The anticyclonic circulation anomaly over the Indian region indicates weakening of the SAM circulation. (EPS 3202 kb)
Auxiliary Figure A4
Climatological mean monsoon rainfall and 850 hPa winds from observations/reanalysis, LMDZ4 high-resolution simulations, IPSL-CM5A models. a, GPCP and NCEP b, HIST1 c, HIST2 d, IPSL-CM5A-MR e, IPSL-CM5A-LR. The means are for the period 1951-2005, except for GPCP rainfall which is for the period 1979-2009. Notice the severe underestimation of monsoon winds and precipitation, particularly over the Western Ghats in the IPSL-CM5A models. (EPS 4950 kb)
Auxiliary Figure A5
Coupled variability of monsoon precipitation and low-level winds in observations and simulations. The first empirical orthogonal function (EOF1) of JJAS precipitation over western Ghats and west-central peninsular India for the period 1941-2005 from (a) Observations (b) HIST1 (c) IPSL-CM5-LR (d, e, f) corresponding principal component (PC1) time-series (g, h, i) Pattern obtained by regressing the 850 hPa winds over the Arabian Sea upon the PC1 time-series of rainfall. Note the decreasing trend of PC1 time-series in observations and HIST1 high-resolution simulation, but not in the IPSL-CM5-LR model. Consistent with the decreasing trend of PC1, the regression pattern of westerly winds indicate weakening of the monsoon flow in NCEP reanalysis and HIST1. In contrast, note that the wind variations in the IPSL-CM5-LR are anti-correlated with the increasing trend of PC1 time-series as seen from the easterly anomaly. (EPS 333 kb)
Auxiliary Figure A6
Spatial map of projected future changes in the seasonal monsoon rainfall. Least-square linear trend of June–September monsoon rainfall from the RCP4.5 simulation expressed as mm day−1 (45 years)−1 (a) (2006 – 2050) (b) (2051 – 2095). Only values exceeding the 95 % confidence level are displayed. (EPS 1870 kb)
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Krishnan, R., Sabin, T.P., Vellore, R. et al. Deciphering the desiccation trend of the South Asian monsoon hydroclimate in a warming world. Clim Dyn 47, 1007–1027 (2016). https://doi.org/10.1007/s00382-015-2886-5
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DOI: https://doi.org/10.1007/s00382-015-2886-5