You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Hunter_CC_Modeling/Hunter_CC_Modeling_readme.txt

27 lines
1.6 KiB
Plaintext

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

#This is the readme document for the modeling of climate change impacts in the Hunter River estuary project
#participants: Mat Deiber, Tino Heimhuber + 2/3 CVEN Masters Thesis Students
#Goal: use state of the art high-resolution climate change projection data (NARCLIM regional climate model ensemble)
in conjunction with sea level rise scenarios to model the potential impacts of climate change on the hydrodynamics,
salinity and temperature (potentially water quality) of the estuary system.
Folder Structure:
Modeling
01_Input
BC_Generation (this is where all the rainfall runoff modeling etc. is done for generation of the boundary condition input file for RMA)
Key steps:
The hydrological and hydrodynamic model is already fully set up and calibrated. We basically just need to create a plausible
range of future boundary condition scenarios and run them through the model
The first step will be to generate new freshwater inflow time series for the small catchments by using NARcLIM forcing data.
For each catchment, well use the GRID cell of which the GRID centerpoint is closest to the Catchment centerpoint.
NARCLIM will provide 12 rainfall time series per gridpoint so we need to adjust the python codes to automate the whole workflow even more.
To begin with, we can pick 1-3 scenarios and test how well the “present-day” reanalysis
data can reproduce the observed catchment flow time series and also how different the NARcLIM ET is from the observed.
Once we generated 12 RMA boundary condition files, one for each NARCCLIM ensemble member,
the next step will be to automate the climate change scenario runs for NARcLIM.