Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves

KE Schlef, KE Kunkel, C Brown, Y Demissie… - Journal of …, 2023 - Elsevier
Abstract Intensity-duration-frequency (IDF) curves–sometimes also called precipitation
frequency estimates–are used to design urban drainage systems for stormwater control and …

Capability of GPM IMERG products for extreme precipitation analysis over the Indonesian Maritime Continent

R Ramadhan, M Marzuki, H Yusnaini, R Muharsyah… - Remote Sensing, 2022 - mdpi.com
Integrated Multi-satellite Retrievals for GPM (IMERG) data have been widely used to analyze
extreme precipitation, but the data have never been validated for the Indonesian Maritime …

Flood risk analysis integrating of Bayesian-based time-varying model and expected annual damage considering non-stationarity and uncertainty in the coastal city

X Guan, C Xia, H Xu, Q Liang, C Ma, S Xu - Journal of Hydrology, 2023 - Elsevier
Flood disaster is more serious in coastal cities due to the combined impact of rainfall and
tides. Accurate assessment of coastal flood risk is essential for planning effective and …

Hydrological frequency analysis under nonstationarity using the Metastatistical approach and its simplified version

CT Vidrio-Sahagún, J He - Advances in Water Resources, 2022 - Elsevier
The implementation of nonstationary hydrological frequency analysis (NS-HFA) has often
been hampered by the relatively short datasets and the resulting high uncertainty. Most …

Large-scale atmospheric teleconnections and spatiotemporal variability of extreme rainfall indices across India

D Vinod, A Mahesha - Journal of Hydrology, 2024 - Elsevier
Identifying trends in hydrometeorological time series during extreme weather events and
their interactions with large-scale atmospheric teleconnections is crucial for climate change …

Amplification of flood risks by the compound effects of precipitation and storm tides under the nonstationary scenario in the coastal city of Haikou, China

H Xu, X Zhang, X Guan, T Wang, C Ma… - International Journal of …, 2022 - Springer
In the context of climate change, coastal cities are at increased risk of extreme precipitation
and sea level rise, and their interaction will aggravate coastal floods. Understanding the …

A Bayesian hierarchical network model for daily streamflow ensemble forecasting

A Ossandon, B Rajagopalan, U Lall… - Water Resources …, 2021 - Wiley Online Library
Abstract A novel Bayesian Hierarchical Network Model (BHNM) for ensemble forecasts of
daily streamflow is presented that uses the spatial dependence induced by the river network …

Spatiotemporal distribution analysis of extreme precipitation in the Huaihe River Basin based on continuity

H Jin, X Chen, R Zhong, Y Pan, T Zhao, Z Liu, X Tu - Natural Hazards, 2022 - Springer
Abstract The Huaihe River Basin (HRB) is located in the climate transition zone between
north and south of china, where cold and warm air flows are easily encountered, resulting in …

Analyzing extreme precipitation and temperature in Central Asia as well as quantifying their main and interactive effects under multiple uncertainties

YR Liu, YP Li, Y Ma, GH Huang, X Zhou - Journal of Hydrology, 2022 - Elsevier
Hydrometeorological extreme value analysis (EVA) is complicated with multiple-uncertain
methodological choices, such as extreme event sampling (EES), stationary/non-stationary …

A subjective Bayesian framework for synthesizing deep uncertainties in climate risk management

J Doss‐Gollin, K Keller - Earth's Future, 2023 - Wiley Online Library
Projections of nonstationary climate risks can vary considerably from one source to another,
posing considerable communication and decision‐analytical challenges. One such …