Abstract

Abstract. The Polar Cap (PC) index is a controversial topic within the IAGA scientific community. Since 1997 discussions of the validity of the index to be endorsed as an official IAGA index have ensued. The article: "The PC index: review of methods", written by two members of the IAGA PC index committee, H. McCreadie and M. Menvielle, holds a critical review of some aspects of the methods used to derive PC index values. However, a number of incorrect statements and factual errors have been found and shall be called attention to and discussed in this commentary. Further critical comments concern the Corrigendum issued by the same authors and published in Ann. Geophys., 29, 813–814, 2011.

Highlights

  • IntroductionThe Polar Cap (PC) index in its present form was first formulated by Troshichev et al (1988) following a series of publications by Troshichev and other scientists on the relations between conditions in the solar wind, magnetic variations in the polar caps, and substorm occurrences (see references in McCreadie and Menvielle, 2010)

  • The comments in the present note address the article “The Polar Cap (PC) index: review of methods” by H

  • The PC index in its present form was first formulated by Troshichev et al (1988) following a series of publications by Troshichev and other scientists on the relations between conditions in the solar wind, magnetic variations in the polar caps, and substorm occurrences

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Summary

Introduction

The PC index in its present form was first formulated by Troshichev et al (1988) following a series of publications by Troshichev and other scientists on the relations between conditions in the solar wind, magnetic variations in the polar caps, and substorm occurrences (see references in McCreadie and Menvielle, 2010). This index has been taken over by the Danish National Space Institute (DTU Space) and is supervised by Jurgen Matzka. This version of the PCN index is supplied, among other, to the OMNIweb data base system For the discussions of the various current PC indices, there are the three separate versions, PCS (AARI#3), PCN (DMI#4), and PCN (DTU Space)

General comments
Parameters of the basic expression for the PC index
The projection angle
Regression methods
Derivation of the quiet reference level at AARI
Derivation of the quiet reference level at DMI
PC index sampling less frequent than data sampling
Further comments
Conclusions
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