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A station-based 0.1-degree daily gridded ensemble precipitation dataset for India
Anagha Peringiyil1, Manabendra Saharia2, Sreejith O P3
1Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Scientific Data
|February 25, 2025
Summary
This study introduces the Indian Precipitation Ensemble Dataset (IPED), a new tool to improve hydrologic modeling in India. The ensemble product offers higher reliability for crucial precipitation data, especially during monsoon extremes.
Area of Science:
- Hydrology
- Meteorology
- Geospatial Data Science
Background:
- Deterministic gridded precipitation data present significant uncertainties, limiting their use in hydrologic modeling and data assimilation.
- Developing countries like India face challenges with sparse observational networks, complex topography, and frequent extreme weather events, exacerbating data limitations.
- The Indian Meteorological Department's current precipitation dataset is deterministic and uses a basic interpolation technique.
Purpose of the Study:
- To develop an observation-based ensemble precipitation dataset for India that addresses the limitations of existing deterministic products.
- To provide a more reliable and accurate precipitation dataset for hydrometeorological applications in India.
- To leverage a comprehensive network of precipitation gauges and advanced spatial regression techniques.
Main Methods:
- Developed the Indian Precipitation Ensemble Dataset (IPED) using the largest available network of precipitation gauge stations across India.
- Employed a locally weighted spatial regression approach, incorporating topographical variations (elevation, slope, aspect).
- Created a daily 30-member ensemble precipitation product at 0.1° and 0.25° resolutions, spanning from 1991 to 2020.
Main Results:
- The IPED demonstrates superior discrimination and reliability across all precipitation thresholds, including extreme events like the 99th percentile during monsoon.
- The ensemble nature of IPED provides a measure of uncertainty crucial for advanced modeling.
- The dataset accounts for complex Indian topography, enhancing its applicability.
Conclusions:
- IPED is the first observation-based ensemble precipitation product for India, offering significant improvements over existing deterministic datasets.
- This dataset is expected to enhance the accuracy and reliability of hydrologic modeling and data assimilation systems in India.
- IPED provides a valuable resource for addressing challenges related to hydrometeorological extremes in data-scarce regions.
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