A dataset of gridded precipitation intensity-duration-frequency curves in Qinghai-Tibet Plateau
2025

Gridded Precipitation Intensity-Duration-Frequency Curves in Qinghai-Tibet Plateau

Sample size: 203 publication 10 minutes Evidence: high

Author Information

Author(s): Ren Zhihui, Sang Yan-Fang, Cui Peng, Chen Fei, Chen Deliang

Primary Institution: Chinese Academy of Sciences

Hypothesis

How can we accurately derive precipitation intensity-duration-frequency curves for the Qinghai-Tibet Plateau?

Conclusion

The QTPPIDFC dataset provides reliable gridded precipitation information for hydrometeorological risk management and engineering design in the Qinghai-Tibet Plateau.

Supporting Evidence

  • The dataset provides precipitation information for various durations and return years.
  • Principal component analysis identified a southeast-northwest spatial pattern in precipitation IDF curves.
  • The random forest model was used to estimate gridded IDF curves based on geographical and climatic variables.
  • The QTPPIDFC dataset can aid in hydrometeorological risk management.
  • Hourly precipitation intensity ranges from 27.1 to 144.5 mm/h in 100 return years.
  • Daily precipitation intensity ranges from 1.3 to 16.2 mm/h in 100 return years.
  • The dataset is publicly available for further research and application.

Takeaway

This study created a dataset that helps predict heavy rain in a mountainous area, which can help keep people safe from floods.

Methodology

The study used principal component analysis and random forest regression to derive gridded precipitation IDF curves from data collected at 203 weather stations.

Potential Biases

Potential non-stationarity in some precipitation data samples may affect the results.

Limitations

The study mainly focuses on rainfall-dominated areas and does not address other natural disasters in high-altitude regions with sparse weather stations.

Participant Demographics

Data collected from 203 weather stations across the Qinghai-Tibet Plateau.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1038/s41597-024-04362-1

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