activity
20172026
most citedDeep uncertainties in sea-level rise and storm surge projections: Implications for coastal flood risk management

75 citations · 103 across the 8 of their papers we have counts for

collaborators

10 papers

stat.AP2026

Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United States

Ben Seiyon Lee, Reetam Majumder, Jordan Richards +2

Understanding and mapping extreme heat is critical for risk management and public health planning, particularly in regions with complex terrain and heterogeneous climate. We presen…

stat.ME2023

A Class of Models for Large Zero-inflated Spatial Data

Ben Seiyon Lee, Murali Haran

Spatially correlated data with an excess of zeros, usually referred to as zero-inflated spatial data, arise in many disciplines. Examples include count data, for instance, abundanc…

stat.ME2022

Flood hazard model calibration using multiresolution model output

Samantha Roth, Ben Seiyon Lee, Sanjib Sharma +3

Riverine floods pose a considerable risk to many communities. Improving flood hazard projections has the potential to inform the design and implementation of flood risk management…

stat.AP2021

Effects of Mixed Distribution Statistical Flood Frequency Models on Dam Safety Assessments: A Case Study of the Pueblo Dam, USA

K. J. Roop-Eckart, Sanjib Sharma, Mahkameh Zarekarizi +4

Statistical flood frequency analysis coupled with hydrograph scaling is commonly used to generate design floods to assess dam safety assessment. The safety assessments can be highl…

stat.AP2021★ 28 cited

A safety factor approach to designing urban infrastructure for dynamic conditions

Sanjib Sharma, Ben Seiyon Lee, Robert E. Nicholas +1

Current approaches to design flood-sensitive infrastructure typically assume a stationary rainfall distribution and neglect many uncertainties. These assumptions are inconsistent w…

stat.CO2020

A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets

Benjamin Seiyon Lee, Jaewoo Park

Nonstationary non-Gaussian spatial data are common in many disciplines, including climate science, ecology, epidemiology, and social sciences. Examples include count data on diseas…

stat.AP2020

Bayesian Characterization of Uncertainties Surrounding Fluvial Flood Hazard Estimates

Sanjib Sharma, Ganesh Raj Ghimire, Rocky Talchabhadel +5

Fluvial floods drive severe risk to riverine communities. There is a strong evidence of increasing flood hazards in many regions around the world. The choice of methods and assumpt…

stat.CO2019

PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models

Ben Seiyon Lee, Murali Haran

Hierarchical spatial models are very flexible and popular for a vast array of applications in areas such as ecology, social science, public health, and atmospheric science. It is c…

stat.AP2019

A Fast Particle-Based Approach for Calibrating a 3-D Model of the Antarctic Ice Sheet

Ben Seiyon Lee, Murali Haran, Robert Fuller +2

We consider the scientifically challenging and policy-relevant task of understanding the past and projecting the future dynamics of the Antarctic ice sheet. The Antarctic ice sheet…

stat.AP2017★ 75 cited

Deep uncertainties in sea-level rise and storm surge projections: Implications for coastal flood risk management

Perry C. Oddo, Ben Seiyon Lee, Gregory G. Garner +4

Sea-levels are rising in many areas around the world, posing risks to coastal communities and infrastructures. Strategies for managing these flood risks present decision challenges…