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Project objectives

The project objectives (POs) are as follows:

PO1

Develop a rigorously verified and validated RDycore for E3SM to mechanistically model pluvial, fluvial, and coastal CF and their impacts on SD and rSWI

  • Q1.1: What is the impact of using alternative formulations of SWE and SD on computation cost and the accuracy of CF, SD, and rSWI estimates?
  • Q1.2: What is the impact of alternate mesh structures on computation cost and accuracy of representation of CF, SD, and rSWI

PO2

Develop computationally efficient and scalable RDycore and assess its performance on heterogeneous computing architectures

  • Q2.1: What is the computational advantage of using AMR over a spatially uniform subkilometer grid?
  • Q2.2: What kind of scalable, multiscale preconditioner and solvers will be effective for RDycore?
  • Q2.3: How far can strong scalability be pushed for RDycore on heterogeneous computing architectures?

PO3

Improve the predictive understanding of CF, SD, and rSWI due to the simultaneous but uncertain occurrence of multiple drivers of floods in a changing climate

  • Q3.1: How do uncertain future changes in the joint drivers of floods affect the prediction of CF?
  • Q3.2: How do uncertain future changes in the joint drivers of floods affect the prediction of SD?
  • Q3.3: How do uncertain future changes in the joint drivers of floods affect the prediction of rSWI?
  • Q3.4: How do uncertainties of model parameters affect the prediction of CF, SD, and rSWI in a changing climate?