EGU24-15910, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-15910
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessment of the Indian Meteorological Ensemble Dataset (IMED) Performance in Identifying Cloudburst Events over the Northwest Himalayas (NWH) 

Anagha Peringiyil1, Manabendra Saharia1,2, and Sreejith Op3
Anagha Peringiyil et al.
  • 1Department of Civil Engineering, IIT Delhi, India
  • 2Yardi School of Artificial Intelligence, IIT Delhi, India
  • 3Climate Research and Services, India Meteorological Department, Pune, India

Cloudbursts over the NWH have become more common in recent years. The uncertainty caused by the sparse density of the station network over NWH encouraged us to employ the developed dataset, Indian Meteorological Ensemble Dataset (IMED), which explicitly accounts for topographical complexity and uncertainties in precipitation estimations. In the NWH, where monitoring stations are sparse, and cloudbursts are hard to discern, this study examines IMED's efficiency in identifying cloudburst events. We aim to use the mean, 70th percentile, 80th percentile, and 99th percentile values from 30 ensembles of IMED data every day with a resolution of 0.25 degrees.  We evaluated 18 events in the NWH between 2014 and 2016, which were documented in different paper publications. Furthermore, we compare the cloudburst identification ability of the CHIRPS dataset to that of the IMED datasets. A pixel-wise analysis shows that IMED performs better than the CHIRPS dataset in this event detection. With the mean value of IMED, it can capture five events, whereas four events are captured by the CHIRPS dataset. With the 70 percentile, 80 percentile, and 99th percentile, IMED can capture more events. This study concludes that IMED performs better than CHIRPS in identifying cloud burst events over the NWH region.

How to cite: Peringiyil, A., Saharia, M., and Op, S.: Assessment of the Indian Meteorological Ensemble Dataset (IMED) Performance in Identifying Cloudburst Events over the Northwest Himalayas (NWH) , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15910, https://doi.org/10.5194/egusphere-egu24-15910, 2024.

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