Summary

Meteorological drought is the initial stage of drought, and the prolonged duration of meteorological drought leads to agricultural, hydrological, and socio-economic droughts. The major hydrological component which causes meteorological drought is rainfall. One of the familiar indices used to extract meteorological drought characteristics is the standard precipitation index (SPI), which is developed on the basic assumption of stationary (i.e., the statistical properties do not change over time) climate. However, numerous studies proved that the statistical properties of precipitation have changed. Hence, the stationary assumption used in SPI is no longer reliable and cannot trace the changing characteristics of drought. Recently more attention is given to the development of a nonstationary drought index. The major drawback of the nonstationary drought index is the uncertainty about future prediction and the lack of knowledge about the physical processes (Climate-informed covariates) behind the changes. Moreover, the spatio-temporal evolution of meteorological drought over India is still not established. Hence, this study aims to understand the cause and effect of meteorological drought and re-examine the meteorological drought severity trend by extracting the drought characteristics using a nonstationary drought index. The following objectives are formulated to achieve this goal:

1. Identifying the causal factors for time-varying drought characteristics
2. Spatio-temporal evolution of time-varying meteorological drought over India

Benefit for Interns

Interns will be introduced to the new research world of non-stationarity. By the end of this internship, the student will be well versed in programming language and stochastic hydrology.

Eligibility

1. Regular students pursuing their PG (M. Tech./ME/MS) in University/Institution within India.
2. Specialization: Water Resources Engineering, Water Resources Management, Hydrology, and related domains
3. Demonstrate interest in research and has strong analytical skills
4. Knowledge of MATLAB

How to apply

1. Please fill the form @ https://forms.office.com/r/42DxMq4ZPs
2. The last date for application is 5th May 2022
3. The selected interns will be intimated on or before 7th May 2022.
4. The selected interns should produce a “No Objection Certificate (NOC)” from their Supervisor / Head of the Department / Head of the Institute allowing their student to undergo internship.

Note

1. Number of interns required: 2
2. Outstation candidates will be eligible for TA
3. Each intern will be supported with daily necessary expenses such as stationery, consumables, accommodation, food, etc., up to Rs. 30000 for the whole internship period.
4. No stipend will be provided for the internship
5. After completion, the intern will be awarded a certificate