51 Matching Annotations
  1. Nov 2023
  2. Oct 2023
  3. Jul 2023
  4. May 2023
    1. ds.plot.scatter(x="Timestamp", y="Vixv", ax=axes[0], s=0.1) ds.plot.scatter(x="Timestamp", y="Vixh", ax=axes[1], s=0.1) ds.plot.scatter(x="Timestamp", y="Viy", ax=axes[2], s=0.1) ds.plot.scatter(x="Timestamp", y="Viz", ax=axes[3], s=0.1, label="Velocities")

      Change to:

      ds.plot.scatter(x="Timestamp", y="Vixv", ax=axes[0], s=1, linewidths=0) ds.plot.scatter(x="Timestamp", y="Vixh", ax=axes[1], s=1, linewidths=0) ds.plot.scatter(x="Timestamp", y="Viy", ax=axes[2], s=1, linewidths=0) ds.plot.scatter(x="Timestamp", y="Viz", ax=axes[3], s=1, linewidths=0, label="Velocities")

  5. Mar 2023
  6. Nov 2022
  7. Oct 2022
    1. Swarm Measurements¶ A short demo of taking magnetic measurements from a single Swarm spacecraft and deriving a main field model directly from one month of data!
    1. viresclient API¶ Author: Luca Mariani Abstract: Describe the main classes and methods defined in the viresclient package

      recommend referring directly to https://viresclient.readthedocs.io here

    1. Data 8 - UC Berkeley Foundations of Data Science course

      TODO: replace link with https://inferentialthinking.com ?

    2. Project Pythia - A Community Educational Resource for Geoscientists
    3. Project Python Foundations

      TODO: fix type Python->Pythia

  8. Sep 2022
  9. May 2022
  10. Apr 2022
    1. See also:
    2. Abstract: Access to the field aligned currents evaluated by the dual satellite method (level 2 product). We also show an orbit-by-orbit plot using a periodic axis to display (centred over both poles) an overview of the FAC estimates over two weeks.

      Health warning

      Note that the data quality varies from October 2019 onward due to the orbit changes of Swarm A & C:

      • Remove 2021/07/01 to 2022/01/13
      • Change polar exclusion zone for 2019/10/01 to 2021/06/30 and for 2022/01/14 onward:
      • exclude where abs(latitudinal crossing point) + 6deg < 90deg

      These changes are yet to be made in the data products as of writing (April 2022)

  11. Mar 2022
  12. Feb 2022
  13. Nov 2021
    1. Implement automated testing and generation of notebooks containing output cells using Treebeard - to be viewable at swarm-vre.readthedocs.io

      out-of-date text...

  14. Oct 2021
    1. Select the analysis interval

      Different UI when using Notebook or Lab... not visible in Book. How to reconcile this?

  15. Sep 2021
  16. Aug 2021
    1. Geomagnetic pulsations¶ .. see https://iaga-school-2019.netlify.app/notebooks/1-visualising-geomagnetic-observatory-data#geomagnetic-pulsations Hartland (HAD) second data are not available. Fetching CLF instead:

      Probably just remove this section and create a dedicated page that goes into it

    1. # Using only the radial component, perform the inversion: G = G_radius d = B_radius m = np.linalg.inv(G.T @ G) @ (G.T @ d)

      Only using one component to keep it simpler. The radial component is the least contaminated so damping is less important

  17. May 2021
    1. Estimated core GVO magnetic field, spherical polar (r,theta,phi) vector components [i.e (-C,-N,E) components in NEC frame]

      NB: The source (CDF) files provide the measurements in the RTP coordinates rather than NEC. In VirES, we provide them in NEC coordinates for consistency with other Swarm products.

      This has led to the misleading variable descriptions in data retrieved from VirES, stating that they are given in "spherical polar (r,theta,phi) vector components [i.e (-C,-N,E) components in NEC frame]". We have not fixed this yet

  18. Apr 2021
  19. Feb 2021
    1. k_inds

      is there a nice library for accessing these? are they published data?

    2. ESK_2003_PATH = os.path.abspath('../data/external/ESK_2003/') ESK_HOURLY_PATH = os.path.abspath('../data/external/ESK_hourly/')

      will be able to replace with data loading live from vires

    3. # Import notebook dependencies import os import sys import datetime as dt

      can investigate hiding code to make the book more friendly to browse https://jupyterbook.org/interactive/hiding.html

    4. >> USER INPUT HERE

      I'll have a look for simple "date/time" input boxes through ipywidgets or similar

    5. By David Kerridge et al.

      Change to e.g. "IAGA and friends" This is displayed identically on all pages. Perhaps we can add an "authors" element to each notebook (at top or bottom)

  20. Oct 2020
    1. prototype quicklook routine

      The intention is that in the future we will be able to access such routine from something like:

      from viresclient import SwarmQuicklooks
      fig = SwarmQuicklooks.AEJxLPS.plot()
      
  21. Sep 2020