Estimating Surge-Based Flood Risk with the Coastal Louisiana Risk Assessment Model

Johnson, David R.; Fischbach, Jordan R.; Ortiz, David S.

doi:10.2112/si_67_8

Cited by 40 publications

(54 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A transparent modeling framework enables communication between scientists as well as communication with stakeholders. This leads to potential application of the model framework in decision support and education (Fischbach et al, 2012;Johnson et al, 2013;Weaver et al, 2013). The present work expands on previous studies by (i) providing a platform of simple but mechanistically motivated sealevel process models that resolve more processes, (ii) providing a model framework that can facilitate model comparisons (for example, between our models and those of Nauels et al, 2017), (iii) exploring combined effects of key structural and parametric uncertainties, (iv) explicitly demonstrating the flexibility of our framework for interchanging model components, and (v) explicitly demonstrating the utility of our model framework for informing decision analyses.…”

Section: Introductionmentioning

confidence: 99%

BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections

et al. 2017

View full text Add to dashboard Cite

Abstract. Simple models can play pivotal roles in the quantification and framing of uncertainties surrounding climate change and sea-level rise. They are computationally efficient, transparent, and easy to reproduce. These qualities also make simple models useful for the characterization of risk. Simple model codes are increasingly distributed as open source, as well as actively shared and guided. Alas, computer codes used in the geosciences can often be hard to access, run, modify (e.g., with regards to assumptions and model components), and review. Here, we describe the simple model framework BRICK (Building blocks for Relevant Ice and Climate Knowledge) v0.2 and its underlying design principles. The paper adds detail to an earlier published model setup and discusses the inclusion of a land water storage component. The framework largely builds on existing models and allows for projections of global mean temperature as well as regional sea levels and coastal flood risk. BRICK is written in R and Fortran. BRICK gives special attention to the model values of transparency, accessibility, and flexibility in order to mitigate the above-mentioned issues while maintaining a high degree of computational efficiency. We demonstrate the flexibility of this framework through simple model intercomparison experiments. Furthermore, we demonstrate that BRICK is suitable for risk assessment applications by using a didactic example in local flood risk management.

show abstract

Section: Introductionmentioning

confidence: 99%

BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The original version of the CLARA model (CLARA 1.0) is described in detail in Fischbach, Johnson, Ortiz, et al, 2012, andOrtiz, 2013. During this study, we developed an updated version of the model, CLARA 2.0, and applied it in this analysis, as well as in the subsequent 2017 Coastal Master Plan flood risk and damage analysis (FJK, 2017;Alymov et al, 2016).…”

Section: Methods and Data Sources Overview Of The Clara Modelmentioning

confidence: 99%

Reducing Coastal Flood Risk with a Lake Pontchartrain Barrier

Fischbach¹,

Johnson²,

Molina-Pérez³

2017

View full text Add to dashboard Cite

“…Ref. 87). It should be recognized, however, this is only one measure of risk and does not fully represent the range of consequences to society and the environment.…”

Section: Implications On Future Tropical Cyclone Risk Assessmentmentioning

confidence: 99%

Tropical Cyclone Storm Surge Risk

Resio

Irish

2017

Handbook of Coastal and Ocean Engineering

View full text Add to dashboard Cite

Tropical cyclone storm surge represents a significant threat to communities around the world. These surge characteristics vary spatially and temporally over a range of scales; therefore, conceptual frameworks for understanding and mitigating them must be cast within a context of risk that covers the complete range of hazards, their consequences, and methods for mitigation. A review of primary overlapping time scales and associated spatial scales for tropical cyclone surge hazards covers two scales of particular interest: (1) synoptic-scale predictions used for warnings and evacuation decisions and (2) long-term estimation of hazards and related risks needed for coastal planning and decision making. Factors that can affect these estimates, such as episodic variations in tropical cyclone characteristics and longer-term climate change and sea-level rise are then examined in the context of their potential impacts on hazards and risks related to tropical cyclone surges.

show abstract

Estimating Surge-Based Flood Risk with the Coastal Louisiana Risk Assessment Model

Cited by 40 publications

References 10 publications

BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections

BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections

Reducing Coastal Flood Risk with a Lake Pontchartrain Barrier

Tropical Cyclone Storm Surge Risk

Contact Info

Product

Resources

About