10.5880/GFZ.2.3.2019.002 Matzka, Jürgen Jürgen Matzka 0000-0001-9926-2796 GFZ German Research Centre for Geosciences, Potsdam, Germany Stolle, Claudia Claudia Stolle 0000-0002-5717-1623 GFZ German Research Centre for Geosciences, Potsdam, Germany Kervalishvili, Guram Guram Kervalishvili 0000-0001-8885-4198 GFZ German Research Centre for Geosciences, Potsdam, Germany Rauberg, Jan Jan Rauberg GFZ German Research Centre for Geosciences, Potsdam, Germany Yamazaki, Yosuke Yosuke Yamazaki 0000-0002-7624-4752 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2019 geomagnetic range index high time resolution high cadence 30 minutes 60 minutes 90 minutes EARTH SCIENCE > SOLID EARTH > GEOMAGNETISM > GEOMAGNETIC INDICES EARTH SCIENCE > SOLID EARTH > GEOMAGNETISM > GEOMAGNETIC INDICES > KP INDEX Brorfelde (BFE) maintained by: National Space Institute, Technical University of Denmark (Denmark) National Space Institute, Technical University of Denmark (Denmark) Canberra (CNB) maintained by: Geoscience Australia Geoscience Australia (Australia) Eskdalemuir (ESK) maintained by: British Geological Survey British Geological Survey, UK Research and Innovation (United Kingdom) Eyrewell (EYR) maintained by: The Institute of Geological & Nuclear Sciences Ltd The Institute of Geological & Nuclear Sciences Ltd (New Zealand) Fredericksburg (FRD) maintained by: U.S. Geological Survey U.S. Geological Survey (USA) Hartland (HAD) maintained by: British Geological Survey British Geological Survey, UK Research and Innovation (United Kingdom) Lerwick (LER) maintained by: British Geological Survey British Geological Survey, UK Research and Innovation (United Kingdom) Meanook (MEA) maintained by: Natural Resources of Canada / Geological Survey of Canada Natural Resources of Canada / Geological Survey of Canada (Canada) Niemegk (NGK) maintained by: GFZ German Research Centre for Geosciences (Germany) GFZ German Research Centre for Geosciences (Germany) Ottawa (OTT) maintained by: Natural Resources of Canada / Geological Survey of Canada Natural Resources of Canada / Geological Survey of Canada (Canada) Sitka (SIT) maintained by: U.S. Geological Survey U.S. Geological Survey (USA) Uppsala (UPS) maintained by: Geological Survey of Sweden Geological Survey of Sweden (Sweden) Wingst (WNG) maintained by: GFZ German Research Centre for Geosciences (Germany) GFZ German Research Centre for Geosciences (Germany) Matzka, Jürgen GFZ German Research Centre for Geosciences, Potsdam, Germany 2003-01-01/2005-12-31T23:59:50 2017-01-01/2017-12-31T23:59:59 Dataset https://www.gfz-potsdam.de/en/kp-index/ 10.1007/978-3-642-78717-1_26 ftp://datapub.gfz-potsdam.de/download/10.5880.GFZ.2.3.2019.002/Documentation/Stolle_et_al_2019_IUGG19-3327.pdf CC BY 4.0 Purpose and design of the Hp indices, test dataset


The geomagnetic Hp indices are developed as part of the SWAMI project (http://swami-h2020.eu) funded by the European Union’s H2020 research and innovation program. They are designed to resemble the geomagnetic Kp index, but have a higher temporal resolution of 90, 60 and 30 minutes. Whereas the Kp index is a measure of energy input from the solar wind during a 3-hour interval, the Hp indices aim at being a similar measure for the energy input, but over shorter intervals. The geomagnetic Hp indices can be provided back to 1995. Their derivation procedure is similar, but not identical, to the Kp index. Hp values range from 0 to 9 (like Kp), and have mean occurrence rates that are comparable to those of the Kp index. However, users have to appreciate that the Hp indices are not identical to the Kp index of the corresponding time interval. Therefore, it is to be expected that they represent the energy input from the solar wind slightly differently than when using the Kp index.




Disclaimer to users of the Hp indices test data set


Please carefully test and validate all your model output and services for which you use the Hp indices (including the ap90, ap60, ap30) as input parameter. This is especially true when these models and services were originally derived or parameterized with the Kp index.




Which files to use?


We provide a number of test data files with different time resolutions. By default, we recommend to use the 1-hourly Kp-like Hp60 index (e.g. data file Hp60_2003.dat) or ap-like ap60 index (e.g. ap60_2003.dat).




Hp test dataset description


The Hp test dataset consists of 24 files. It is accompanied by the presentation given on the index at the IUGG General Assembly 2019 in Montreal (Stolle et al., 2019).


For each year 2003, 2004, 2005 and 2017, there exist annual files for 90, 60 and 30 minutes time resolution) in 2 different formats (Hp and ap). In the format 'Hp' the Hp values are given as 0, 0.7, 1, 1.3, 1.7, 2, 2.3, ... 8.7, 9. In the format 'ap', the Hp values are mapped onto ap values in the same fashion as Kp values are mapped to ap values.


The index is provided with an hourly resolution (Hp60 and ap60), and also with a 30-minute (Hp30 and ap30) and 90-minute version (Hp90 and ap90).


The years 2003 (Halloween storm in October and November), 2005 (frequent geomagnetic storms) and 2017 (geomagnetic storm in September) were chosen for the occurrence of strong geomagnetic activity.


The files are ASCII and have 7 header lines. The data is blank separated and fixed length. The 7th header line indicates the start time (in UTC) of the index interval. For Hp90 there are 16 intervals per day, for Hp60 there are 24 intervals per day, for Hp30 there are 48 intervals per day. Every line with data contains the index values for one day and starts with the date (year-month-day) in the format YYYY-MM-DD. The index values for each interval are written below the start time of the 7th header line. Missing data is indicated by -1.


For more information on the Kp and ap index, please refer to https://www.gfz-potsdam.de/en/kp-index/ and to Siebert and Meyer (1996). For more information on the Hp indices test dataset, please refer also to the presentation (Stolle et al., 2019) which can be downloaded from the FTP server.
global -180 180 -90 90 global -180 180 -90 90 H2020 LEIT Space http://doi.org/10.13039/100010673 776287 SWAMI