Abstract

Extreme rainfall events in the central Indian region are often related to the passage of synoptic scale monsoon low-pressure systems (LPS). This study uses the surrogate climate change method on ten monsoon LPS cases connected to observed extreme rainfall events, to investigate how sensitive the precipitation and runoff are to an idealized warmer and moister atmosphere. The ten cases are simulated with three different initial and lateral boundary conditions: the unperturbed control run, and two sets of perturbed runs where the atmospheric temperature is increased uniformly throughout the atmosphere, the specific humidity increased according to Clausius Clapeyron’s relation, but the large-scale flow is unchanged. The difference between the control and perturbed simulations are mainly due to the imposed warming and feedback influencing the synoptic flow. The mean precipitation change with warming in the central Indian region is 18–20 %/K, with largest changes at the end of the LPS tracks. The LPS in the warmer runs are bringing more moisture further inland that is released as precipitation. In the perturbed runs the precipitation rate is increasing at all percentiles, and there is more frequent rainfall with very heavy intensities. This leads to a shift in which category that contributes most to the total precipitation: more of the precipitation is coming from the category with very heavy intensities. The runoff changes are similar to the precipitation changes, except the response in intensity of very heavy runoff, which is around twice the change in intensity of very heavy precipitation.

Highlights

  • The increase in the atmospheric water vapor content with global warming is expected to change the hydrological cycle (e.g. Turner and Annamalai 2012; Intergovernmental Panel on Climate Change (IPCC) 2013)

  • This study examines the sensitivity of precipitation and runoff changes in the central Indian region to an increase in the atmospheric temperature and moisture

  • We have used the surrogate climate change method by Schär et al (1996) on ten different monsoon low-pressure systems (LPS) cases that is connected to an observed extreme rainfall event

Read more

Summary

Introduction

The increase in the atmospheric water vapor content with global warming is expected to change the hydrological cycle (e.g. Turner and Annamalai 2012; IPCC 2013). The extreme rainfall events over central India are a result of the synoptic scale monsoon low-pressure systems (LPS), which occur frequently during the monsoon season (Goswami et al 2006; Sikka 2006; Pattanaik and Rajeevan 2010). Strong low-level convergences were generated leading to deep convective towers over the state Uttarakhand in India, when the moist air from Bay of Bengal met a western disturbance that moved eastward (Joseph et al 2014; Dube et al 2014) These two flood incidents were both a result of a very anomalous weather condition. To study how sensitive the dynamical forcing is to a changing climate, it is necessary that all the components of the largescale monsoon circulation are represented in the climate model As discussed above, this is still a challenging task, since the current climate models have difficulties in simulating the present climate (Turner and Annamalai 2012; Sabeerali et al 2015; Sooraj et al 2014).

LPS cases
Model configurations
Boundary conditions
The Central India mean precipitation
Comparing the simulated synoptic conditions
Study area and analysis method
Sensitivity of areal mean precipitation and runoff to increased temperature
Summary
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call