Abstract:
Drought is a recurrent climate hazard and it can occur in all types of climates. In this study,
recurrence of drought over South Asia has been studied by analyzing observed as well as
modeled outputs of meteorological data. The 20th century precipitation has been analyzed over
Asia region highlighting the inter-dependence of southwest monsoon and East Asia monsoon
focusing on precipitation characteristics over South Asia. Tele-connections of rainfall over south
Asia with oceanic indices and the impact on the shifting of the sub-tropical jet have been
explored. The study also examined seasonal variability during the 1999-2001 drought periods
from the normal years to identify the causes of drought over South Asia. The region receives
most of its precipitation (70%) during southwest monsoon season that prevails from June to
September. Monsoon season exhibits higher variability compared to winter season as depicted
during the analysis of 1901-2010 dataset. Decadal average monsoon rainfall analysis depicts
significant (99 %) increasing trend during 1st half of twentieth century (1901-1950). Afterward,
significant decreasing trends (95%) are found in the data sets of 1951-2010 and 1981-2010 for
South Asia. Winter rainfall is only one eighth of monsoon rainfall. Therefore, the major
contribution in terms of water availability comes from southwest monsoon. Hence, failure of
monsoon rainfall over the region would lead to drought conditions over South Asia. The analysis
of country level precipitation depicts that except for Pakistan, precipitation is exhibiting
decreasing trend over Sri Lanka, India and Nepal. However the change is not statistically
significant. The correlation between monsoon rainfall and solar index is also examined that
depicts that seasonal abnormality increases during steady periods of solar activity and vice versa.
Singular Value Decomposition (SVD) analysis is applied to depict that monsoon rainfall over
drought vulnerable areas of west South Asia is highly correlated with rainfall activity over
monsoon trough located at central India whereas rainfall over eastern Himalaya region is
negatively correlated.
Significant phases of oceanc indices such as Indian Ocean Dipole (IOD), Pacific Decadal
Oscillation (PDO) and Southern Oscillation Index (SOI) have also been identified by computing
standard deviation of seasonally averaged index values and investigated their impact on South
Asia monsoon rainfall. Analysis depicts that during the past 60 years, frequency of negative
episodes (< -1 St dev.) of PDO and SOI have significantly increased. Observed negative phases
are twice as compared to positive phases since 1950. Whenever, the two indices are in opposite
phase (1997, 2010), it resulted in extreme precipitation episodes over northwest domain of South
Asia comprising northern India and Pakistan causing severe flooding over the region. Analysis
reveals that IOD significantly contributes in regulating rainfall activity over South Asia. When
IOD negative phase persists for longer duration and continue into next year, it weakens monsoon
currents resulting suppressed rainfall activity over western India and most parts of Pakistan
leading to drought. Analysis of the impact of various indices on case to case basis depicts that
negative phase of SOI and positive phase of IOD significantly contribute in suppressing
monsoon rainfall activity over South Asia that lead to drought events in the region.
The analysis of area-weighted mean seasonal and annual rainfall for southern arid region of
Pakistan has revealed that lower terciles are increasing with time. The seasonal area weighted
average rainfall for this region is 58.6 mm, whereas the standard deviation is 30 mm, depicting
that monsoon rainfall variability in the region is high. The annual and seasonal rainfall in the
region has shown negative trend with increased frequency of lower terciles, making the region
highly vulnerable to droughts. The hindcasts of coupled models under the EUROSIP project
have been analyzed to develop drought prediction tool for the arid regions of Pakistan. The
multi-model ensembles have been investigated for the prediction of two categories; below the
median and lower-tercile (dry-season). The forecasts performance have been evaluated by
employing Relative Operating Curve (ROC) verification method and areas under the curve are
also verified through cross validation. The results for deficient monsoon rainfall predictability
using the EUROSIP multi-model ensemble system have established that the system reveals good
skill for lower-tercile forecasts over southern Pakistan (skill > 0.7). Therefore it is concluded that
climate models of European Centre for Medium Range Forecast (ECMWF), Météo-France, and
United Kingdom Meteorological Office (UKMO) are sensitive enough towards precipitation
formation mechanism over monsoon region and able to predict dry episodes of the climate over
drought prone areas of Pakistan.