Abstract Stochastic Storm Transposition (SST) involves resampling and random geospatial
shifting (ie transposition) of observed storm events to generate hypothetical but realistic …

In mountain terrain, well-configured high-resolution atmospheric models are able to simulate
total annual rain and snowfall better than spatial estimates derived from in situ observational …

A state-of-the-art review on the probable maximum precipitation (PMP) as it relates to
climate variability and change is presented. The review consists of an examination of the …

The safety of high‐risk water infrastructure, such as dams and nuclear power plants, is often
assessed by reference to their ability to accommodate floods derived from the Probable …

Climate change (CC) needs to be accounted for in the estimation of probable maximum
floods (PMFs). However, there does not exist a unique way to estimate PMFs and …

Two specific questions are addressed in this study regarding dams (artificial reservoirs).(1)
Can a dam (artificial reservoir) and the land use/land cover (LULC) changes triggered by it …

This study is focused on assessing a summer‐fall probable maximum precipitation (PMP)
under recent climate conditions and then applying it under a future projected climate using …

In the wake of the recent catastrophic floods in Thailand, there is considerable concern
about the safety of large dams designed and built some 50years ago. In this paper a …

Maximum precipitation during a historical period is estimated by means of a physically
based regional atmospheric model over three watersheds in Northern California: the …

Bukovsky, MS, and LO Mearns, 2012: Projections of climate change for the North American
monsoon from the NARCCAP regional climate models. Preprints, 26th Conf. on Hydrology …