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https://github.com/umr-lops/kpi_mpc

library to compute the MPC Sentinel-1 KPI
https://github.com/umr-lops/kpi_mpc

netcdf numpy python xarray

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library to compute the MPC Sentinel-1 KPI

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# Kpi Mpc

libs to compute 2 KPIs for MPC Sentinel-1 project:

- a) WV VV effective Hs bias (wrt WW3) called KPI-1d
- b) WV VV NRCS (denoised) bias (wrt CMOD-5n) called KPI-1b

# author:

IFREMER LOPS
antoine.grouazel@ifremer.fr

# creation:

2021

# usage in command-line

kpihs -h
# or
kpinrcs -h

# usage in python interactive mode

> > > import kpimpc

# installation

```bash
conda create -n kpi_conda_env python=3.9
conda activate kpi_conda_env
conda install numpy scipy matplotlib xarray netCDF4 ipykernel
git clone https://gitlab.ifremer.fr/lops-wave/kpi_mpc.git
cd kpi_mpc
# python setup.py install
pip install .
```

#data dependencies:

## KPI-1b (NRCS SLC)

KPI-1b needs a netCDF file containing the differences of NRCS denoised per SAFE for all the WV since 2015 ( S1%\_wv_ocean_calibration_CMOD5n_ecmwf0125_windspeed_weighted_slc_level1_20150101_today_runv16.nc)

## KPI-1d (Hs OCN)

KPI-1d is designed to run using Sentinel-1 WV IFREMER L2F daily aggregated nc files.