Romstools is a toolbox that contains a variety of programs useful for Regional Ocean Model (ROMS) developers. Our goal with this and other toolboxes available on Github is to provide everything required to setup, run, and analyse the ROMS model (ROMS - http://myroms.org/). Currently, the following tools are included but split into separate packages/folders that can be used indepdentely.

• CreateObsFileIS4DVAR - Generate observation file from SST required to run IS4DVAR assimilation with ROMS
• VolumeFlux - ROMS volume flux calculations for transects between (x,y) grid points
• model2roms - Easily create BRY, INIT ,and CLIM files required to run ROMS using the model2roms toolbox
• Tools - Selection of useful scripts that can come in handy when working with NetCDF files and ROMS
• create_atmos_ROMS - Create ERA INTERIM forcing for ROMS
• create_tides_ROMS - Create tidal forcing for ROMS using TPXO9.1
• Postpro - Program for converting all of your sigma level ROMS output files into Z-level files

• Python installation with numpy, netcdf4, basemap, and matplotlib
• In some cases a Fortran compiler combined with F2PY (part of numpy) is required to create python modules (gfortran is great)
• A full Python distribution package such as Anaconda is reccomended
• Fortran NetCDF interface (required to compile create_tides)
• To run interaxctively on Hexagon (HPC) remember to: module unload xtpe-interlagos

The tools section contains various programs to calculate long term averages, and trends based on a number of input files that typically cover a long time period. For example, if you want to analyse the modeled multi-year averages of short wave fluxes for the North Sea you can do so by running the createAveragesOnHexagon.py script. The script first calculates the averages on the supercomputer before downloading the resulting NetCDF4 files to local computer. Finally, you can plot the results stored in the NetCDF4 file by running createMaps.py. The result will look something like this:

This is a set of scripts that automatically downloads Sea Surface Temperature (SST) data for your grid for the time period you are interested in and stored the data as an observation file. This file requires a special format and is read by ROMS when assimilating SST data using the Incremental Strong constraint 4DVAR assimilation technique. The SST data are downloaded using openDAP from the CoRTAD SST archive (http://www.nodc.noaa.gov/sog/Cortad/) or the OI AVHRR SST (http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.highres.html).

This is a very useful set of tools for interpolating all of your ROMS results files into Z-level. To use this package:

• Create symbolic links in the Files4Stat folder to your result files
• Edit the execute_Postpro.sh and execute it to generate input file for roms2z ./execute_Postpro.sh
• Run the ROMS_Postpro.job script (if not on super computer create a script file out of this job script)
• Split the resulting large z-level-file into monthly average files by running the following:

To calculate the fluxes you run the script calculateFluxes.py either as a standalone python program or executed as a job-script. If you run the program on a super-computer (e.g. Hexagon) you may want to run the script as a job and use the script runJob.sh to queue your job (Hexagon: qsub runJob.sh).

This toolbox is a mixture of Fortrand and Python tools where the core programs are taken from the excellent pyroms toolbox also available on github: https://github.com/kshedstrom/pyroms. However, to avoid having to install the entire toolbox to calculate the fluxes, this smaller toolbox was created.

minDepth=0
maxDepth=500

module swap PrgEnv-pgi PrgEnv-gnu
module unload notur
f2py --verbose  -c -m iso iso.f90
f2py --verbose  -c -m obs_interp obs_interp.f

This should provide you with two python modules (obs_interp.so and iso.so) which you can try to import to python with:

Python 2.7.2 (default, Mar 22 2012, 12:32:11)
[GCC 4.6.1 20110627 (Cray Inc.)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import iso
>>> print iso.__doc__

Get the toolbox and move into folder create_atmos_ROMS, edit the file make_atmos.sh so that the following variables are correct according to your setup:

gridfile=/work/shared/nn9297k/FAABolous/WS4KM_grd.nc
atmeraintdir=/work/shared/norkyst/NorKyst-800m_Forcing/Atmos/ERA_Interim
for ((year=1980; year<=2015; year++)); 

Next compile and run with ./make_atmos.sh

# Start and end period for simulation
syear=1980; eyear=2017

# Input files
gridfile=/Users/trondkr/Dropbox/NIVA/ROHO800/Grid/ROHO800_grid.nc

# Name of app
APPNAME=ROHO800

Make sure you download the latest <href="http://volkov.oce.orst.edu/tides/global.html"><TPXO9.1> files from Oregon State University (OSU) before you continue. Edit the path for the data input file inside the file Tpxo/tpxo2grid.f90 to direct to teh path where you stored the TPXO9.1 files (grid_tpxo9.nc, h_tpxo9.v1.nc, u_tpxo9.v1.nc):

character (len=100)       :: tpxo_grd = "/Volumes/DATASETS/tpxo9_netcdf/grid_tpxo9.nc"
character (len=100)       :: tpxo_h   = "/Volumes/DATASETS/tpxo9_netcdf/h_tpxo9.v1.nc"
character (len=100)       :: tpxo_u   = "/Volumes/DATASETS/tpxo9_netcdf/u_tpxo9.v1.nc"
``` Compilation works well on local computer with gfortran compiler (can be installed using brew). 

<h4> River forcing </h4>
Move into folder ```northsea_forcing_rivers```, edit the file ```make_rivers.sh``` so that the following variables are correct according to your setup:
``` bash
years="2009 2010 2011 2012"
gridfile=/work/users/trondk/KINO/GRID/kino_norseas_800m_grid.nc

Next compile and run with ./make_atmos.sh or use the batch job script qsub runMakeAtmos.sh

• me (at) trondkristiansen.com

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