Reading and plotting SEISS data

Purpose:

Python example of netcdf and plot commands for use with GOES-R SEISS files

Import modules

import netCDF4 as nc
import numpy as np
import cftime
import os, sys
import requests
import matplotlib.pyplot as plt

• Relevant data files can be downloaded here. To run this code, it may be necessary to update the filename version string (“v2-1-0”) to match available files.

• Other data links and information about EXIS data can be found here

dir0 = "./"
file0 = "sci_mpsh-l2-avg1m_g16_d20200601_v1-0-2.nc"

# Download `file0` if it does not exist locally
if not os.path.exists(dir0 + file0):
    with open(dir0 + file0, "wb") as f:
        url = f"https://data.ngdc.noaa.gov/platforms/solar-space-observing-satellites/goes/goes16/l2/data/mpsh-l2-avg1m/2020/06/{file0}"
        print('downloading: ', url)
        r = requests.get(url)
        f.write(r.content)

downloading:  https://data.ngdc.noaa.gov/platforms/solar-space-observing-satellites/goes/goes16/l2/data/mpsh-l2-avg1m/2020/06/sci_mpsh-l2-avg1m_g16_d20200601_v1-0-2.nc

Open netcdf file for reading data

ds = nc.Dataset(dir0 + file0)

Time conversion

times = cftime.num2pydate(ds.variables["L2_SciData_TimeStamp"][:], ds["L2_SciData_TimeStamp"].units)
print("Filename:  ", file0)
print("start and end times:", times[0], times[-1])

Filename:   sci_mpsh-l2-avg1m_g16_d20200601_v1-0-2.nc
start and end times: 2020-06-01 00:00:00 2020-06-01 23:59:00

Print all variable names

print("\nAll variable names: ")
print(list(ds.variables.keys()), "\n")

All variable names:
['L2_SciData_TimeStamp', 'L1bRecordsInAvg', 'YawFlipFlag', 'EclipseFlag', 'AvgDiffProtonFlux', 'AvgDiffProtonFluxUncert', 'DiffProtonValidL1bSamplesInAvg', 'DiffProtonDQFdtcSum', 'DiffProtonDQFoobSum', 'DiffProtonDQFerrSum', 'AvgDiffElectronFlux', 'AvgDiffElectronFluxUncert', 'DiffElectronEffectiveEnergy', 'DiffElectronValidL1bSamplesInAvg', 'DiffElectronDQFdtcSum', 'DiffElectronDQFoobSum', 'DiffElectronDQFerrSum', 'AvgIntElectronFlux', 'AvgIntElectronFluxUncert', 'IntElectronEffectiveEnergy', 'IntValidL1bSamplesInAvg', 'IntDQFdtcSum', 'IntDQFoobSum', 'IntDQFerrSum', 'DiffProtonLowerEnergy', 'DiffProtonUpperEnergy', 'DiffProtonEffectiveEnergy', 'ExpectedLUTNotFound']

Plot 1 day of MPSH 1-minute AvgDiffProtonFlux in Telescope 0, Band 0

var = 'AvgDiffProtonFlux'
tel = 0
band = 0
data = []
for i in range(0, len(times)):
    data.append(ds.variables[var][i][tel][band])
plt.figure(0, figsize=[10, 7])
plt.plot(
    times[:],
    data,
    linewidth=1,
    color="green",
    label=f"tel{tel}-band{band}",
)
plt.yscale("log")
plt.legend(loc="upper right", prop={"size": 12})
plt.xlabel("Time [UT]")
plt.ylabel(f"{var} [{ds[var].units}]")
plt.show()
print("Done.\n")

/usr/share/miniconda/envs/goesr-spwx-examples/lib/python3.12/site-packages/numpy/_core/shape_base.py:64: UserWarning: Warning: converting a masked element to nan.
  result = asanyarray(arys[0])
Done.