pyaps3 0.3.0

Python based Atmospheric Phase Screen Estimation

PyAPS - Python based Atmospheric Phase Screen estimation

This python 3 module estimates differential phase delay maps due to the stratified atmosphere for correcting radar interferograms. It is rewritten in Python 3 language from PYAPS source code and adapted for ECMWF's ERA-5 corrections.

WARNING: PyAPS3 could not work with NARR and MERRA weather models. Contributions are welcomed.

This is research code provided to you "as is" with NO WARRANTIES OF CORRECTNESS. Use at your own risk.

1. Installation

pyaps3 is available on the conda-forge channel and PyPI. The released version can be installed via conda as:

conda install -c conda-forge pyaps3

or via pip as:

pip install pyaps3

One could also installed the development version via pip as:

pip install git+https://github.com/insarlab/PyAPS.git

Run the following to

2. Account setup for ERA5

ERA5 data set is redistributed over the Copernicus Climate Data Store (CDS). Registration is required for the data downloading.

• Create a new account on the CDS website if you don't own a user account yet.
• Create local key file. Create a file named .cdsapirc in your home directory and add the following two lines:

url: https://cds.climate.copernicus.eu/api/v2
key: 12345:abcdefghij-134-abcdefgadf-82391b9d3f

where 12345 is your personal user ID (UID), the part behind the colon is your personal API key. More details can be found here.

• Make sure that you accept the data license in the Terms of use on ECMWF website.

3. Testing

Run the following to test the installation and account setup:

git clone https://github.com/insarlab/PyAPS.git --depth 1
python PyAPS/tests/test_dload.py
python PyAPS/tests/test_calc.py

4. Citing this work

The metholody and validation of DelayPackage can be found in:

• Jolivet, R., R. Grandin, C. Lasserre, M.-P. Doin and G. Peltzer (2011), Systematic InSAR tropospheric phase delay corrections from global meteorological reanalysis data, Geophys. Res. Lett., 38, L17311, doi:10.1029/2011GL048757.