Unraveling urban hydro-environmental response to climate change and MCDA-based area prioritization in a data-scarce develo** city

K Liu, T Kinouchi, R Tan, S Heng, K Chhuon… - Science of The Total …, 2024 - Elsevier
Climate change leads to more frequent and intense heavy rainfall events, posing significant
challenges for urban stormwater management, particularly in rapidly urbanizing cities of …

[HTML][HTML] Climate change effects on the localized heavy rainfall event in northern Japan in 2022: Uncertainties in a pseudo-global warming approach

R Tahara, Y Hiraga, S Kazama - Atmospheric Research, 2025 - Elsevier
This study used the pseudo-global warming (PGW) method in the Weather Research and
Forecasting (WRF) model to examine the effects of climate change on localized heavy …

Characterization of Flood Risk in Japan in Times of Climate Change and Aging Society.

LM Hong, ZC Zhang… - Journal of Environmental …, 2024 - search.ebscohost.com
Flood is a natural phenomenon but flooding causes damage to human society. In recent
decades, flood risk has been intensified due to rapid urbanization and climate change …

[HTML][HTML] Variation and attribution of probable maximum precipitation of China using a high-resolution dataset in a changing climate

J **ong, S Guo, Abhishek, J Yin, C Xu… - Hydrology and Earth …, 2024 - hess.copernicus.org
Accurate assessment of the probable maximum precipitation (PMP) is crucial in assessing
the resilience of high-risk water infrastructures, water resource management, and …

Satellite-based precipitation error propagation in the hydrological modeling chain across China

J Gou, C Miao, S Sorooshian, Q Duan, X Guo, T Su - Journal of Hydrology, 2024 - Elsevier
Satellite-based precipitation products have great potential to promote hydrological modeling
skill owing to the spatially homogeneous measurements they provide. However, satellite …

Frequency analysis of extreme rainfall over the Japanese archipelago by leveraging gauge-adjusted radar and satellite estimates

S Mtibaa - Journal of Hydrology, 2024 - Elsevier
With the increasing frequency of extreme rainfall and difficulty in capturing their spatial
variability by rain gauges, especially over regions with complex topographic and climatic …

Estimation of Intensity‐Duration‐Area‐Frequency Relationships Based on the Full Range of Non‐Zero Precipitation From Radar‐Reanalysis Data

A Haruna, J Blanchet, AC Favre - Water Resources Research, 2024 - Wiley Online Library
Abstract Intensity‐Duration‐Area‐Frequency (IDAF) models provide the mathematical link
between precipitation intensities (I), durations (D), areas (A), and frequency of occurrence …

[HTML][HTML] Areal reduction factors from gridded data products

J Lutz, T Roksvåg, AV Dyrrdal, C Lussana… - Journal of …, 2024 - Elsevier
Areal reduction factors (ARFs) convert a point estimate of extreme precipitation to an
estimate of extreme precipitation over a spatial domain, and are commonly used in flood risk …

[HTML][HTML] Variations in Present and Future Hourly Extreme Rainfall: Insights from High-Resolution Data and Novel Temporal Disaggregation Model

Y Dai, Abhishek, L Li, Y Gong, X Wu, B Sheng, W Zhao - Water, 2024 - mdpi.com
Extreme rainfall-induced events adversely affect agriculture, infrastructure, and
socioeconomic development in a region. Therefore, a comprehensive understanding of their …

Artificial neural network-empowered projected future rainfall intensity-duration-frequency curves under changing climate

BS Takhellambam, P Srivastava, J Lamba, W Zhao… - Atmospheric …, 2024 - Elsevier
With the increasing trend of greenhouse gases in the atmosphere, by 2052 the temperature
is expected to rise by 1.5° C from the Pre-industrial Period, affecting future extreme rainfall …