Geomagnetic Hpo index (V3.0)

DOI

This data publication includes the half-hourly Hp30 and ap30 indices as well as the hourly Hp60 and ap60 indices, collectively denoted as Hpo. This dataset is based on near real-time geomagnetic observatory data provided by 13 contributing observatories. It is derived and distributed by GFZ German Research Centre for Geosciences. When using the Hpo index, please cite this data publication as well as the accompanying publications Yamazaki et al. (2024) and Yamazaki et al. (2022), which serve as documentation of the Hpo.

The dataset is organised in yearly files, which, for the current year, are updated on a monthly basis. Typically, during the second week of a month, the data for the previous month is appended to the current year's file. The files are in ASCII files and start with header lines marked with # (hash).

The Hpo index was initially developed within the H2020 project SWAMI (grant agreement No 776287) and is produced by Geomagnetic Observatory Niemegk, GFZ German Research Centre for Geosciences. It derives from the same 13 geomagnetic observatories that also contribute to the Kp index (Matzka et al., 2021, https://doi.org/10.5880/Kp.0001). They are listed as contributors to this data publication.

With the introduction of the DOI for the Hpo index (Matzka et al, 2021, https://doi.org/10.5880/Hpo.0001), this DOI landing page and the associated HTTPS server linked to the DOI become the primary archive of Hpo (while the other established index distribution mechanisms at GFZ will be maintained in parallel). With the DOI, the dataset can grow with time, but a change of the data, once published, is not possible. If necessity arises in the future to correct already published values, then the corrected dataset will be published with a new DOI. Older DOIs and data sets will then still be available. For each DOI, an additional versioning mechanism will be available to document changes to the files such as header or format changes, which do not affect the integrity of the data. The DOI https://doi.org/10.5880/Hpo.0003 identifies the current version. A format description and a version history are provided in the data download folder.

Version history:

2024-07-10: publication of version 3.0 (https://doi.org/10.5880/Hpo.0003). This version replaces version Hpo.0001 and Hpo.0002.

The algorithm to calculate Hpo was changed to give a better occurrence frequency of index values for Hpo >= 9. Additionally, index values for 1984 to 1995 were added. The change is described in the accompanying publication.


2022-05-13: Addition of key reference (Yamazaki et al. 2022, https://doi.org/10.1029/2022GL098860) to the landing page, the data files and the format description (metadata update, no new version released)


2022-03-26: Publication of Version 2.0 (https://doi.org/10.5880/Hpo.0001). This version replaces version Hpo.0001.

The Hpo, like the Kp nowcast, is based on the FMI algorithm (see Matzka et al., 2021, https://doi.org/10.1029/2020SW002641) and goes through a rescaling procedure to be more similar to the definitive Kp values. The data in version Hpo.0001 from 2018 onwards suffered from a slight error in this rescaling algorithm, causing for example somewhat too few Hpo 0 values and somewhat too many Hpo 0.333 values. This error was corrected for version Hpo.0002. The values from 1995 to 2017 are identical for both versions.


2021-04-26: Publication of Version 1.0 (https://doi.org/10.5880/Hpo.0001)

Identifier
DOI https://doi.org/10.5880/Hpo.0003
Related Identifier Cites https://doi.org/10.5880/Kp.0001
Related Identifier Cites https://doi.org/10.1029/2020SW002641
Related Identifier IsDocumentedBy https://doi.org/10.22541/essoar.171838396.68563140/v1
Related Identifier IsDocumentedBy https://doi.org/10.1029/2022GL098860
Related Identifier IsNewVersionOf https://doi.org/10.5880/Hpo.0001
Related Identifier IsNewVersionOf https://doi.org/10.5880/Hpo.0002
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7947
Provenance
Creator Matzka, Jürgen ORCID logo; Bronkalla, Oliver; da Silva, Marcos Vinicius ORCID logo; Kervalishvili, Guram ORCID logo; Rauberg, Jan ORCID logo; Korte, Monika ORCID logo; Yamazaki, Yosuke ORCID logo
Publisher GFZ Data Services
Contributor Matzka, Jürgen; Bronkalla, Oliver; da Silva, Marcos Vinicius; Kervalishvili, Guram; Rauberg, Jan; Korte, Monika; Yamazaki, Yosuke; Blais, Charles; Calp, David; Haseloff, Jürgen; Lewis, Andrew; Morschhauser, Achim; Petersen, Tanja; Schwarz, Gerhard; Tornow, Katrin; Willer, Anna Naemi; Geomagnetic Observatory Canberra (CNB) maintained by: Geoscience Australia (Australia); Geomagnetic Observatory Brorfelde (BFE) maintained by: Technical University of Denmark (Denmark); Geomagnetic Observatory Eskdalemuir (ESK) maintained by: British Geological Survey (UK); Geomagnetic Observatory Eyrewell (EYR) maintained by: GNS Science (New Zealand); Geomagnetic Observatory Fredericksburg (FRD) maintained by: U.S. Geological Survey (US); Geomagnetic Observatory Hartland (HAD) maintained by: British Geological Survey (UK); Geomagnetic Observatory Lerwick (LER) maintained by: British Geological Survey (UK); Geomagnetic Observatory Meanook (MEA) maintained by: Natural Resources Canada (Canada); Geomagnetic Observatory Niemegk (NGK) maintained by: GFZ German Research Centre for Geosciences (Germany); Geomagnetic Observatory Ottawa (OTT) maintained by: Natural Resources Canada (Canada); Geomagnetic Observatory Sitka (SIT) maintained by: U.S. Geological Survey (US); Geomagnetic Observatory Uppsala (UPS) maintained by: Geological Survey of Sweden (Sweden); Geomagnetic Observatory Wingst (WNG) maintained by: GFZ German Research Centre for Geosciences (Germany)
Publication Year 2024
Funding Reference H2020 European Research Council http://doi.org/10.13039/100010663 Crossref Funder ID 776287 Space Weather Atmosphere Models and Indices (SWAMI)
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Matzka, Jürgen (GFZ German Research Centre for Geosciences, Potsdam, Germany); Bronkalla, Oliver (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Natural Sciences; Physics; Space Physics
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N); Global coverage of the Hp30, ap30, Hp60, and ap60 indices index