How to manually give tropospheric datas if we face internet issues while processing Mintpy... #1388
Unanswered
Karthi-Wolf
asked this question in
Q&A
Replies: 0 comments
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Hello everyone, I want help from processing mintpy from ISCE interferogram of stackSentinel.py. Im processing in HPC, where i can't get internet access so when i tried processing mintpy by i got ECMWF downloading error so, I did manually downloaded the ERA5 (did the same processing local system and copied the same ERA5 for the HPC testing) " i had earlier set the mintpy.txt as
"##-------------------------------- MintPy -----------------------------##
########## 1. Load Data (--load to exit after this step)
load_data.py -H to check more details and example inputs.
mintpy.load.processor = isce
##---------for ISCE only:
mintpy.load.metaFile = ~/IW*.xml
mintpy.load.baselineDir = ~/baselines
##---------interferogram datasets:
mintpy.load.unwFile = /~interferograms//filt_.unw
mintpy.load.corFile = ~/interferograms//filt_.cor
mintpy.load.connCompFile = ~/interferograms//filt_.unw.conncomp
##---------geometry datasets:
mintpy.load.demFile = ~geom_reference/hgt.rdr
mintpy.load.lookupYFile = ~geom_reference/lat.rdr
mintpy.load.lookupXFile =
/geom_reference/lon.rdr/geom_reference/los.rdrmintpy.load.incAngleFile =
mintpy.load.azAngleFile = ~/geom_reference/los.rdr
mintpy.load.shadowMaskFile = ~/geom_referenc/shadowMask.rdr
mintpy.load.waterMaskFile = ~/geom_reference/waterMask.rdr
########## 8. Tropospheric Delay Correction
mintpy.troposphericDelay.method = pyaps
mintpy.troposphericDelay.weatherModel = ERA5
mintpy.troposphericDelay.weatherDir =~/mintpy/ERA5"""
THIS is the output I got after i did processed the mintpy. can anyone help about it. Also say the best way to manually download and process tropospheric correction without internet in the HPC...
" " ******************** step - correct_troposphere ********************
Atmospheric correction using Weather Re-analysis dataset (PyAPS, Jolivet et al., 2011)
Weather Re-analysis dataset: ERA5
tropo_pyaps3.py -f /home/incois/mohanty/karthi/SBAS/output/mintpy/timeseries.h5 --model ERA5 -g /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/geometryRadar.h5 -w /home/incois/mohanty/karthi/SBAS/output/mintpy/ERA5
weather model: ERA5 - dry (hydrostatic) and wet delay
weather directory: /home/incois/mohanty/karthi/SBAS/output/mintpy/ERA5
output tropospheric delay time-series file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/ERA5.h5
output corrected displacement time-series file: /home/incois/mohanty/karthi/SBAS/output/mintpy/timeseries_ERA5.h5
read dates/time info from file: /home/incois/mohanty/karthi/SBAS/output/mintpy/timeseries.h5
time of cloest available product: 00:00 UTC
make directory: /home/incois/mohanty/karthi/SBAS/output/mintpy/ERA5/ERA5
Download global atmospheric model files...
update mode: ON
output file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/ERA5.h5
run or skip: run
downloading weather model data using PyAPS ...
number of grib files to download: 12
INFO: You are using the latest ECMWF platform for downloading datasets: https://cds.climate.copernicus.eu/api
Downloading 1 of 12: /home/incois/mohanty/karthi/SBAS/output/mintpy/ERA5/ERA5/ERA5_N10_N20_E70_E90_20240112_00.grb
{'product_type': ['reanalysis'], 'variable': ['geopotential', 'temperature', 'specific_humidity'], 'year': ['2024'], 'month': ['01'], 'day': ['12'], 'time': ['00:00'], 'pressure_level': ['1', '2', '3', '5', '7', '10', '20', '30', '50', '70', '100', '125', '150', '175', '200', '225', '250', '300', '350', '400', '450', '500', '550', '600', '650', '700', '750', '775', '800', '825', '850', '875', '900', '925', '950', '975', '1000'], 'data_format': 'grib', 'area': [20, 70, 10, 90]}
WARNING: the 1 attempt to download failed, retry it.
INFO: You are using the latest ECMWF platform for downloading datasets: https://cds.climate.copernicus.eu/api
Downloading 1 of 12: /home/incois/mohanty/karthi/SBAS/output/mintpy/ERA5/ERA5/ERA5_N10_N20_E70_E90_20240112_00.grb
{'product_type': ['reanalysis'], 'variable': ['geopotential', 'temperature', 'specific_humidity'], 'year': ['2024'], 'month': ['01'], 'day': ['12'], 'time': ['00:00'], 'pressure_level': ['1', '2', '3', '5', '7', '10', '20', '30', '50', '70', '100', '125', '150', '175', '200', '225', '250', '300', '350', '400', '450', '500', '550', '600', '650', '700', '750', '775', '800', '825', '850', '875', '900', '925', '950', '975', '1000'], 'data_format': 'grib', 'area': [20, 70, 10, 90]}
WARNING: the 2 attempt to download failed, retry it.
INFO: You are using the latest ECMWF platform for downloading datasets: https://cds.climate.copernicus.eu/api
Downloading 1 of 12: /home/incois/mohanty/karthi/SBAS/output/mintpy/ERA5/ERA5/ERA5_N10_N20_E70_E90_20240112_00.grb
{'product_type': ['reanalysis'], 'variable': ['geopotential', 'temperature', 'specific_humidity'], 'year': ['2024'], 'month': ['01'], 'day': ['12'], 'time': ['00:00'], 'pressure_level': ['1', '2', '3', '5', '7', '10', '20', '30', '50', '70', '100', '125', '150', '175', '200', '225', '250', '300', '350', '400', '450', '500', '550', '600', '650', '700', '750', '775', '800', '825', '850', '875', '900', '925', '950', '975', '1000'], 'data_format': 'grib', 'area': [20, 70, 10, 90]}
WARNING: downloading failed for 3 times, stop trying and continue.
Calculate tropospheric delay and write to HDF5 file...
update mode: ON
output file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/ERA5.h5
run or skip: run
open geometry file: geometryRadar.h5
reading incidenceAngle data from file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/geometryRadar.h5 ...
reading height data from file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/geometryRadar.h5 ...
reading latitude data from file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/geometryRadar.h5 ...
reading longitude data from file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/geometryRadar.h5 ...
create HDF5 file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/ERA5.h5 with w mode
create dataset : date of |S1 in size of (0,) with compression = None
create dataset : timeseries of <class 'numpy.float32'> in size of (0, 3342, 5367) with compression = None
close HDF5 file: /home/incois/mohanty/karthi/SBAS/output/mintpy/inputs/ERA5.h5
calculating absolute delay for each date using PyAPS (Jolivet et al., 2011; 2014) ...
number of grib files used: 0"
Beta Was this translation helpful? Give feedback.
All reactions