Skip to main content

Advertisement

Log in

Sensitivity analysis applied to two extreme rainfall events over Kerala using TIGGE ensembles

  • Original Paper
  • Published:
Meteorology and Atmospheric Physics Aims and scope Submit manuscript

Abstract

The uncertainties associated with synoptic-scale atmospheric conditions of two catastrophic heavy rainfall events over Kerala, the southwestern coastal state of the Indian subcontinent, are quantified using Ensemble-based Sensitivity Analysis (ESA). Kerala witnessed two extreme rainfall events and floods during August 2018 (KF18) and August 2019 (KF19) causing large-scale destruction to life and properties. The synoptic features that are in common for the two events include the formation of a depression over the Bay of Bengal, a stronger low-level jet stream over the Arabian Sea, an off-shore trough, and circulations over the Western North Pacific (WNP). The present study attempts to identify the atmospheric flow features that are important to the predictability of these two heavy rainfall events using ESA. Further, the possible similarities and differences in the dynamics of the two events have been explored using an ensemble framework. Sensitivity analysis indicates that greater height fall needs to occur over the WNP to increase the KF18 precipitation, and any shift in the location of these features may affect the precipitation patterns over Kerala. Additionally, the results indicate that the circulations positioned farther east of its mean position are related to stronger precipitation over the response function region. However, the absence of sensitivity dipole suggests that the circulations over WNP have not impacted the KF19 event. The magnitude of positive sensitivity for low-level moisture-laden flow is stronger in KF19 than in KF18. The enhanced low-level flow in KF19 could be one potential reason for the development of deep convective clouds.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Data availability

All relevant data are available upon request from the corresponding author.

References

Download references

Acknowledgements

The global ensemble forecasts were obtained from the ECMWF TIGGE archive online (http://tigge-portal.ecmwf.int). The daily gridded rainfall data is provided by the Indian Meteorological Department data portal http://www.imdpune.gov.in/Clim_Pred_LRF_New/Grided_Data_Download.html and the TRMM datasets were obtained from their website at https://trmm.gsfc.nasa.gov/. The authors wish to acknowledge the Aaditya High-Performance Computer at the Indian Institute of Tropical Meteorology, Pune for providing the necessary computing resources for this work.

Funding

The authors did not receive support from any organization for the submitted work.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by BG and GK. The first draft of the manuscript was written by BG. The manuscript was reviewed and edited by GK.

Corresponding author

Correspondence to Govindan Kutty.

Ethics declarations

Conflict of interest

The authors certify that they have No affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

Additional information

Responsible Editor: Silvia Trini Castelli.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 862 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

George, B., Kutty, G. Sensitivity analysis applied to two extreme rainfall events over Kerala using TIGGE ensembles. Meteorol Atmos Phys 134, 22 (2022). https://doi.org/10.1007/s00703-022-00863-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00703-022-00863-z

Navigation