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qgsolver's Introduction

Overview

This library implements a 3D z-level QG solver in regular grid or in lon/lat grid. It relies on petsc4py for parallelized PV inversions but should also work in serial in the future

Install

qgsolver

Download and install with:

git clone https://github.com/apatlpo/qgsolver.git
cd qgsolver

Install dependencies with conda

The principal dependcy is petsc4py

Download Miniconda3 from the conda website

bash Miniconda3-latest-Linux-x86_64.sh
(specify .miniconda3 and not miniconda3 as target dir for conda)
bash
conda update conda
conda create -n petsc -c conda-forge python=3.6 petsc4py netcdf4 matplotlib snakeviz xarray
source activate petsc

Run on datarmor

Generate input files if necessary on your workstation

cd qgsolver/input/
python create_input_roms.py -o roms_in/

On datarmor, copy input files if necessary:

cp -r /home/slyne/aponte/natl60/qgsolver/input/roms_in /home1/datawork/aponte/qgsolver/

Run qgsolver on Datarmor:

bash
source activate petsc
cd /home/slyne/aponte/natl60/qgsolver/run/
python run_datarmor.py qgsolver/roms_out roms.py /home1/datawork/aponte/qgsolver/roms_in/

API

See doc

qgsolver's People

Contributors

apatlpo avatar slgentil avatar

Stargazers

GitCloner avatar avatar Ales Kuchar avatar

Watchers

James Cloos avatar avatar

Forkers

wesleybowman noelahaye laspg

qgsolver's Issues

reorganize folders

  • clean up dev/run dev/input dev/output codes

  • move dev/run dev/input dev/output to run, input and output

recheck bstate

with analytical implementation

make sure state and bstate are different at initial step

Clean code of 'casename'

One should instead create a new qg class with methods overriding defaults ones

class Dog:
    def bark(self):
        print "WOOF"

class BobyDog( Dog ):
    def bark( self ):
        print "WoOoOoF!!"

otherDog= Dog()
otherDog.bark() # WOOF

boby = BobyDog()
boby.bark() # WoOoOoF!!

cleanup omegainv

  • use state objects, propagate da, grid, state, pvinv objects rather than qg

  • improve doc

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