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Relation of extreme precipitation with temperature: How do open-access global gridded datasets work in a hydrometeorological study?

Analysts have long noted that extreme precipitation appears to intensify with temperature at a rate of around 7%/°C, which is governed by the Clausius-Clapeyron (CC) equation. This study aims to investigate the relationship between the spatio-temporal properties of hourly precipitation and daily dew point temperature. Specifically, the global gridded products of bias-corrected Climate Prediction Center morphing technique (CMORPH-CRT) and ERA5 reanalysis were applied for nine locations in the world. The results show that significant spatial heterogeneity in extreme precipitation scaling is present at the selected locations, which might be attributed to local conditions, such as regional climate and the proximity to humidity sources. Despite the potential limitations, this study provides insight into the application of high-resolution open-access global gridded products in analysing precipitation scaling.

Interview with Dawit Kanito, PhD Candidate in Geology (specializing in Hydrogeology) at King Fahd University of Petroleum and Minerals (KFUPM)

This interview presents Mr. Kanito’s journey and passion for advancing sustainable water management under the twin pressures of climate change and human activity. He emphasizes the power of integrating observation data, space technologies, and machine learning for groundwater modelling. His vision is to equip communities with the knowledge and tools to manage water resources sustainably, ensuring a healthier, more resilient future for all.

Interview with Dawit Kanito, PhD Candidate in Geology (specializing in Hydrogeology) at King Fahd University of Petroleum and Minerals (KFUPM)

This interview presents Mr. Kanito’s journey and passion for advancing sustainable water management under the twin pressures of climate change and human activity. He emphasizes the power of integrating observation data, space technologies, and machine learning for groundwater modelling. His vision is to equip communities with the knowledge and tools to manage water resources sustainably, ensuring a healthier, more resilient future for all.

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