Pinned Repositories
dplyr
Plyr specialised for data frames: faster & with remote datastores
lysina
Hydrologic modeling of Lysina Catchment in Czech
PIHM
The Penn State Integrated Hydrologic Model (PIHM) is a fully coupled multiprocess hydrologic model. Instead of coupling through artificial boundary conditions, major hydrological processes are fully coupled by the semi-discrete finite volume approach. For those processes whose governing equations are partial differential equations (PDE), we first discretize in space via the finite volume method. This results in a system of ordinary differential equations (ODE) representing those procesess within the control volume. Within the same control volume, combining other processes whose governing equations are ODE’s, (e.g. the snow accumulation and melt process), a local ODE system is formed for the complete dynamics of the finite volume. After assembling the local ODE system throughout the entire domain, the global ODE system is formed and solved by a state-of-art ODE solver.
PIHM-AnalysisMatlab
PIHM analysis package in Matlab.
playfuljs-demos
RWFlood
A new method for computing the drainage network based on raising the level of an ocean surrounding the terrain.
xuanudel.github.io
PIHM
The Penn State Integrated Hydrologic Model (PIHM) is a fully coupled multiprocess hydrologic model. Instead of coupling through artificial boundary conditions, major hydrological processes are fully coupled by the semi-discrete finite volume approach. For those processes whose governing equations are partial differential equations (PDE), we first discretize in space via the finite volume method. This results in a system of ordinary differential equations (ODE) representing those procesess within the control volume. Within the same control volume, combining other processes whose governing equations are ODE’s, (e.g. the snow accumulation and melt process), a local ODE system is formed for the complete dynamics of the finite volume. After assembling the local ODE system throughout the entire domain, the global ODE system is formed and solved by a state-of-art ODE solver.
geoxuan's Repositories
geoxuan/dplyr
Plyr specialised for data frames: faster & with remote datastores
geoxuan/lysina
Hydrologic modeling of Lysina Catchment in Czech
geoxuan/PIHM
The Penn State Integrated Hydrologic Model (PIHM) is a fully coupled multiprocess hydrologic model. Instead of coupling through artificial boundary conditions, major hydrological processes are fully coupled by the semi-discrete finite volume approach. For those processes whose governing equations are partial differential equations (PDE), we first discretize in space via the finite volume method. This results in a system of ordinary differential equations (ODE) representing those procesess within the control volume. Within the same control volume, combining other processes whose governing equations are ODE’s, (e.g. the snow accumulation and melt process), a local ODE system is formed for the complete dynamics of the finite volume. After assembling the local ODE system throughout the entire domain, the global ODE system is formed and solved by a state-of-art ODE solver.
geoxuan/PIHM-AnalysisMatlab
PIHM analysis package in Matlab.
geoxuan/playfuljs-demos
geoxuan/RWFlood
A new method for computing the drainage network based on raising the level of an ocean surrounding the terrain.
geoxuan/xuanudel.github.io