Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city

The Msimbazi River catchment traversing Dar es Salaam city in east-central Tanzania. The lack of high-resolution rainfall data in cities in developing countries hinders the development of suitable intensity–duration–frequency (IDF) curves for designing and evaluating hydraulic structures. Thus, this study investigated the potential of relatively high-resolution reanalysis precipitation data for developing IDF curves in the poorly gauged Msimbazi River catchment in Dar es Salaam city. The time series of hourly ERA5-Land reanalysis precipitation data were used to generate the annual maximum series at four selected points in the river catchment. These were subsequently bias-corrected using parameters derived from limited observed rainfall data. The bias-corrected annual maximum series of reanalysis precipitation (AMSRP) data were fitted with the best probability distribution functions, which were then used to estimate quantiles of IDF curves for various annual exceedance probabilities. The findings revealed that uncorrected AMSRP data would have underestimated rainfall intensities in this region by a factor of two to six. Different areas in the Msimbazi River catchment have different rainfall distributions and IDF curves. Thus, no single set of IDF curves can represent rainfall intensities in the entire river catchment. Due to the potential of relatively high-resolution reanalysis precipitation data, designs and evaluations of hydraulic structures in poorly gauged cities are encouraged to use bias-corrected and location-specific IDF curves. • Investigation of reanalysis data for developing IDF curves in a poorly gauged city. • Reanalysis precipitation data were bias-corrected using few observed rainfall data. • Corrected annual maximum intensities were fitted with the best distribution functions. • Distribution functions estimated intensities for various exceedance probabilities. • Intensities for specific durations at various frequencies produced IDF curves.

Authors

Institutions

Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2024-10-19
DOI
https://doi.org/10.1016/j.ejrh.2024.102005
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city

Frank Joseph Wambura
3 citations
Journal of Hydrology Regional Studies
Climate variability and models
0.85
article

Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city

Frank Joseph Wambura
article en
3 citations

Abstract

The Msimbazi River catchment traversing Dar es Salaam city in east-central Tanzania. The lack of high-resolution rainfall data in cities in developing countries hinders the development of suitable intensity–duration–frequency (IDF) curves for designing and evaluating hydraulic structures. Thus, this study investigated the potential of relatively high-resolution reanalysis precipitation data for developing IDF curves in the poorly gauged Msimbazi River catchment in Dar es Salaam city. The time series of hourly ERA5-Land reanalysis precipitation data were used to generate the annual maximum series at four selected points in the river catchment. These were subsequently bias-corrected using parameters derived from limited observed rainfall data. The bias-corrected annual maximum series of reanalysis precipitation (AMSRP) data were fitted with the best probability distribution functions, which were then used to estimate quantiles of IDF curves for various annual exceedance probabilities. The findings revealed that uncorrected AMSRP data would have underestimated rainfall intensities in this region by a factor of two to six. Different areas in the Msimbazi River catchment have different rainfall distributions and IDF curves. Thus, no single set of IDF curves can represent rainfall intensities in the entire river catchment. Due to the potential of relatively high-resolution reanalysis precipitation data, designs and evaluations of hydraulic structures in poorly gauged cities are encouraged to use bias-corrected and location-specific IDF curves. • Investigation of reanalysis data for developing IDF curves in a poorly gauged city. • Reanalysis precipitation data were bias-corrected using few observed rainfall data. • Corrected annual maximum intensities were fitted with the best distribution functions. • Distribution functions estimated intensities for various exceedance probabilities. • Intensities for specific durations at various frequencies produced IDF curves.

Journal of Hydrology Regional StudiesVol. 56
Ardhi University (TZ)
Climate action
Openalex Percentile: Top 27%
Climate variability and models
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.