Arctic and Antarctic Research Institute, Federal State Budgetary Institution (“AARI”)

2020 ◽  
Author(s):  
Peter Stauning

Abstract. In the publication Troshichev et al. (2006) on the Polar Cap (PC) indices, PCN (North) and PCS (South), an error was made by using components of the Interplanetary Magnetic Field (IMF) in their Geocentric Solar Ecliptic (GSE) representation instead of the prescribed Geocentric Solar Magnetosphere (GSM) representation for calculations of index scaling parameters in the version AARI_1998-2001 (named AARI#3) issued from the Arctic and Antarctic Research Institute (AARI) in St Petersburg, Russia. The mistake has caused a trail of incorrect relations and wrong conclusions extending since 2006 up to now (2020). The authors of the publication commented here, Troshichev, Podorozhkina, Janzhura (2011): Invariability of relationship between the polar cap magnetic activity and geoeffective interplanetary electric field, Ann. Geophys., 29, 1479-1489, state that they have used scaling parameters of the (invalid) AARI#3 PC index version in their work but have substituted parameters from the more recent AARI_1995-2005 (AARI#4) version instead. The mingling of PC index versions have resulted in erroneous illustrations in their Figs. 1, 2, 3, 6, 7, and 8 and the issuing of non-substantiated statements.


2015 ◽  
Vol 55 (4) ◽  
pp. 127 ◽  
Author(s):  
G. V. Alekseev ◽  
D. Yu. Bolshiyanov ◽  
V. F. Radionov ◽  
S. V. Frolov

2017 ◽  
Author(s):  
Juha Karvonen

Abstract. Here we present a method for estimating the land-fast ice (LFI) extent from SENTINEL-1 SAR mosaics over an Arctic study area over Kara and Barents Seas. The method is based on temporal cross-correlation between adjacent day SAR mosaics. The results are compared to the LFI of the Russian Arctic-Antarctic Research Institute (AARI) ice charts. A LFI time series covering the time period from October 2015 to the end of August 2017 computed using the presented methodology is provided on our ftp server. The time series will be extended twice annually.


2014 ◽  
Vol 4 (2) ◽  
pp. 129-139 ◽  
Author(s):  
Boris V. Ivanov ◽  
Pavel N. Sviashchennikov ◽  
Danila M. Zhuravskiy ◽  
Alexey K. Pavlov ◽  
Eirik J. Frland ◽  
...  

Description of sea ice conditions in the fjords of Svalbard is crucial for sea transport as well as studies of local climate and climate change. Old observations from the Russian Hydrometeorological stations in the mining settlements Barentsburg (Grnfjorden) and Pyramiden (Billefjorden) have now been digitized. These visual and instrumental observations are archived in the State Archive of Arctic and Antarctic Research Institute (AARI) and Murmansk Branch of the Russian Hydrometeorological Service. In this paper, we bring an overview of the sea ice metadata with few examples of yearly changes in sea ice extent.


2018 ◽  
Vol 12 (8) ◽  
pp. 2595-2607 ◽  
Author(s):  
Juha Karvonen

Abstract. Here a method for estimating the land-fast ice (LFI) extent from dual-polarized Sentinel-1 SAR mosaics of an Arctic study area over the Kara and Barents seas is presented. The method is based on temporal cross-correlation between adjacent daily SAR mosaics. The results are compared to the LFI of the Russian Arctic and Antarctic Research Institute (AARI) ice charts. Two versions of the method were studied: in the first version (FMI-A) the overall performance was optimized, and in the second version (FMI-B) the target was a low LFI misdetection rate. FMI-A detected over 73 % of the AARI ice chart LFI, and FMI-B a little over 50 % of the AARI ice chart LFI. During the winter months the detection rates were higher than during the melt-down season for both the studied algorithm versions. An LFI time series covering the time period from October 2015 to the end of August 2017 computed using the proposed methodology is provided on the FMI ftp server. The time series will be extended twice annually.


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