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An Observation-Based Dataset of Global Sub-Daily Precipitation Indices (GSDR-I)
David Pritchard1, Elizabeth Lewis2, Stephen Blenkinsop2
1Newcastle University, Newcastle upon Tyne, UK. david.pritchard@newcastle.ac.uk.
Scientific Data
|June 22, 2023
Summary
A new global dataset of sub-daily precipitation indices is now available, offering crucial insights into extreme weather events and climate variability for improved risk management and climate model evaluation.
Area of Science:
- Climate Science
- Hydrology
- Environmental Science
Background:
- Daily precipitation indices are established for climate change detection.
- Understanding sub-daily precipitation variability and extremes is increasingly vital for climate science and risk management.
- A lack of unified sub-daily precipitation datasets has hindered research.
Purpose of the Study:
- To present a novel global dataset of sub-daily precipitation indices.
- To provide a comprehensive resource for analyzing precipitation intensity, duration, and frequency.
- To support climate change research, risk assessment, and climate model evaluation.
Main Methods:
- Compilation of a unique global database of 18,591 gauge time series.
- Extensive data collection and rigorous quality control procedures.
- Calculation of sub-daily precipitation indices describing intensity, duration, and frequency.
Main Results:
- A new global dataset of sub-daily precipitation indices is now available.
- The dataset includes indices for individual gauge locations and a gridded product.
- Indices characterize sub-daily precipitation variability and extremes.
Conclusions:
- The new dataset addresses a critical gap in sub-daily precipitation analysis.
- It will facilitate advancements in climate change understanding and risk management.
- The data is valuable for climate model evaluation and flood risk assessment.
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