Imagine the amazing good fortune of the generation that gets to see the end of the world. This is as marvelous as being there in the beginning.— Jean Baudrillard, Fragments

{Winter is coming.} Climate change has pushed the hydrological cycle of the earth out of statistical stationarity. We are frequently observing unprecedented floods and droughts. The environmental system's response to such hydrological extrema is difficult to predict from existing observation data.

Physically-based mechanistic models can predict the system's response to previously unobserved extrema. The results of such model runs give insight into the environmental system's inner working and help to develop management strategies. Historically, such models were computationally expensive. But advances in computer technology now enable us to run these models at increasingly larger scales. This may lead to a paradigm shift in hydrology.

My research interest is in computational methods for environmental and geophysical flow problems. Ideally, these methods should fully leverage available data and computing power resources. My main tools are numerical methods for solving differential equations and high-performance computing, which I'm applying to study the resilience of urban and environmental hydrosystems to climate change.

Generally speaking, I'm interested in theoretical and computational {fluid mechanics}, {applied linear algebra}, and a subset of {earth science} that relates to water flow.

In specific keywords, my research interests are:

- Environmental and geophysical fluid mechanics
- High-performance scientific computing

My current research focuses on modeling flow in the hydrosphere.

- Integrated Hydrology
- Numerical studies of climate change impact on water resources in a subcatchment of East River Watershed, Colorado, USA.
- Multiresolution mesh generation based on wavelet analysis of different catchment characteristics for multi-objective integrated hydro-biogeochemical simulation runs.

- Hyperbolic Hydrology
- Cattaneo's relaxation applied to governing equations in hydrological modeling.

- Computational Methods
- High-performance parallel computing for environmental flow simulations. Targeting heterogeneous architectures through the {Kokkos} framework.
- Discontinuous Galërkin method for shallow water flow.

- Hydroinformatics Modeling System (hms), TUB [link]
- Simulation Environment for Geomorphology, Hydrodynamics and Ecohydrology in Integrated form (SERGHEI), FZJ, ORNL, LBL
- TINerator, LANL, LBL [link]

- D. Caviedes-Voullième, Forschungszentrum Jülich
- D. Dwivedi, Lawrence Berkeley National Laboratory
- G. Kesserwani, University of Sheffield
- Z. Li, Lawrence Berkeley National Lawrence
- M. Morales-Hernández, Universidad de Zaragoza
- S. Molins-Rafa, Lawrence Berkeley National Laboratory
- A. Navas-Montilla, Centro Universitario de la Defensa

- DOE-funded: {Scientific Focus Area: Watershed Function}
- DOE-funded: {Interoperable Design of Extreme-scale Application Software: Watersheds}

Last updated: Sun Jul 18 11:58:22 2021