CONFERENCES

• The open-ended, high cadence, Kp-like geomagnetic Hp30 and Hp60 indices

Guram Kervalishvili, GFZ Potsdam, Germany

• DTM2020

Sean Bruinsma, CNES France

 

 

• Kp and new Hp geomagnetic indices

Jürgen Matzka, GFZ Potsdam, Germany

• The DTM2020 Models

Sean Bruinsma, CNES France

• Geomagnetic Observatories

Jürgen Matzka, GFZ Potsdam, Germany Matzka_SMILE_SWT16_Thursday_2020-10-09_09-11_v05

• The hourly and half-hourly, open-ended, Kp-like planetary geomagnetic Hpo index family

(Juergen Matzka 1, Claudia Stolle 1, Yosuke Yamazaki 1, Guram Kervalishvili 1, Jan Rauberg . 1 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences)

https://agu.confex.com/agu/fm20/meetingapp.cgi/Paper/696787

AGU – iPoster Matzka

• Implementation and assessment of a new blended whole atmosphere model in re-entry services for space surveillance & tracking operations as part of SWAMI H2020 project
  (Daniel Lubian Arenillas1, Raul Dominguez Gonzalez1, Noelia Sanchez Ortiz1, Sandra Negrin1, Sean Bruinsma2, David Jackson3, Claudia Stolle4

1 DEIMOS Space, Spain. 2 CNES, France. 3 Met Office, England. 4 GFZ Potsdam, Germany https://conference.sdo.esoc.esa.int/proceedings/isdrw05/paper/11

• An Open-Ended, High Cadence, Kp-Like Geomagnetic Hpo Indices(Guram Kervalishvili1, Jürgen Matzka1, Claudia Stolle1,2, Jan Rauberg1
  1 GFZ Potsdam, Germany
  2 University of Potsdam, Germany) GFZ_Hpo-indices

• Slide Show on screen at ESWW16 fair SWAMI-Fair_ESWW16

 

• DTM2019 IN THE FRAMEWORK OF THE H2020 PROJECT SWAMI

(Sean Bruinsma, CNES, Toulouse, France) ESWW16_SWAMI-DTM

 

• Extension of the Met Office Unified Model into the Thermosphere

(Daniel Joe Griffin1 David Jackson 1, Matthew Griffith 2

1 Met Office Met Office , United Kingdom

2 University of Bath, Bath)

Daniel_Griffin_ESWW_Poster_2019

 

• The first investigation of the Hp index, a Kp-like, high-cadence index available with 90, 60 and 30 minutes time resolution

(Yosuke Yamazaki, Guram N. Kervalishvili, Claudia Stolle, Jürgen Matzka and Jan Rauberg
GFZ German Research Centre For Geosciences, Potsdam, Germany)

ESWW2019-Session3_Poster

• Understanding geomagnetic activity through supervised learning

RUGGERO VASILE1, IRINA ZHELAVSKAYA1,2, YURI SHPRITS1,2,3
ruggero.vasile@gfz-potsdam.de 1 GFZ German Research Centre For Geosciences, Potsdam, Germany 2University of Potsdam, Potsdam, Germany 3University of California, Los Angeles, California, USA

poster_MLConference_AMSTERDAM_2019

• Geomagnetic Kp index forecast using historical values and real-time
  observations

(Irina Zhelavskaya (1),(2)
(1) GFZ German Research Centre for Geoscience, (2) University of Potsdam

 

• The High Cadence Planetary Geomagnetic Index Hp

(Claudia Stolle(1),(2), Jürgen Matzka (1), Guram Kervalishvili (1), Jan Rauberg (1), Sean Bruinsma(3), Yosuke Yamazaki(1)(1) GFZ Potsdam, Germany (2) University of Potsdam, Germany, (3) CNES, Toulouse, France. IUGG_2019_05_Stolle_et_al_Hp

• Extension of the Met Office Unified Model into the Thermosphere

Daniel Griffin(1), Matthew Griffith(2), David Jackson(1)

(1) Met Office, Exeter, UK

(2) University of Bath, UK

Daniel_Griffin_NAM_Poster_2019

• Extension of the Met Office Unified Model into the ThermosphereDaniel Griffin(1), Matthew Griffith(2), David Jackson(1)(1) Met Office, Exeter, UK(2) University of Bath, UK

Daniel_Griffin_NAM_Poster_2019

 

• Development of radiation schemes for the Extended Unified Model

David Jackson, Emily Down, James Manners, Met Office, Exeter, UK

David_Jackson_NAM_Poster_2019

• Geomagnetic Kp index forecast using historical values and real-time
  observations

Ruggero Vasile (1), Yuri Shprits (1,2,3), Irina Zhelavskaya (1,2)
(1) GFZ German Research Centre for Geoscience, (2) University of Potsdam, (3) University of California Los Angeles) Geomagnetic Kp index forecast using historical values and real-time observations

 

• New Global High Cadence Geomagnetic Indices: Hp90, Hp60 and Hp30

Guram Kervalishvili, Jürgen Matzka, Claudia Stolle, and Jan Rauberg
GFZ German Research Centre for Geosciences, Section 2.3: Geomagnetism, Potsdam, Germany
(guram.kervalishvili@gfz-potsdam.de)  (EGU2019-8073_Poster)

• Toward an updated empirical thermospheric models from additional thermospheric data and new geomagnetic indices: perspectives from the H2020 SWAMI activity (Claudia Stolle (1,2), Sean Bruinsma (3), David Jackson (4), Sandra Negrin (5), Yuri Shprits (1,2), Jürgen Matzka (1), Ruggero Vasile (1), Irina Zhelavskaya (1,2) (1) GFZ Potsdam, Section 2.3 Geomagnetism, Potsdam, Germany, (2) University of Potsdam, Faculty of Science, Potsdam, Germany, (3) CNES, Toulouse, France, (4) Met Office, Exeter, United Kingdom, (5) DEIMOS, Madrid, Spain) (https://meetingorganizer.copernicus.org/EGU2018/EGU2018-5460-1.pdf)

 

• Systematic analysis of machine learning techniques for Kp prediction, Irina Zhelavskaya (1,2), Yuri Shprits (1,2,3), Ruggero Vasile (1), Claudia Stolle (1,4), and Jürgen Matzka (1)
  (1) GFZ Potsdam, Section 2.3: Earth’s Magnetic Field, Potsdam, Germany (irina.zhelavskaya@gmail.com), (2) Institute of
  Physics and Astronomy, University of Potsdam, Potsdam, Germany, (3) Department of Earth, Planetary, and Space Sciences,
  University of California, Los Angeles, California, USA, (4) Institute of Earth and Environmental Science,University of
  Potsdam, Potsdam, Germany  (https://meetingorganizer.copernicus.org/EGU2018/EGU2018-7313.pdf)

 

•  The EC Horizon 2020 project SWAMI: Space Weather Atmosphere Model and Indices. Sean Bruinsma (1), David Jackson (2), Claudia Stolle (3), and Sandra Negrin (4) (1) CNES, Space Geodesy Office, Toulouse, France (sean.bruinsma@cnes.fr), (2) Met Office, Exeter, United Kingdom (david.jackson@metoffice.gov.uk), (3) GFZ Helmholtz Centre Potsdam, Potsdam, Germany (cstolle@gfz-potsdam.de), (4) DEIMOS Space S.L.U, Madrid, Spain (sandra.negrin@elecnor-deimos.com) (https://meetingorganizer.copernicus.org/EGU2018/EGU2018-4506.pdf)

 

• Poster, Systematic analysis of machine learning techniques for Kp prediction in the framework of the H2020 project ‘SWAMI’, I. Zhelavskaya (Zhelavskaya_EGU2018_posterKp)

• Extending the UM into the thermosphere. SWAMI – a project to develop a European whole atmosphere model for improved satellite operations , D. Jackson, Met Office, (WAMW2018 MO SWAMI)

 

• The DTM thermosphere model, S. Bruinsma, CNES (WAMW2018_CNES_SWAMI)

 

• MLT radiation scheme development in the UM, J. Manners, Met Office (WAMW2018 MO MLT)

• The H2020 project SWAMI (Space Weather Atmosphere Model and Indices), S. Bruinsma, CNES (COSPAR2018_CNES_The H2020 project SWAMI_C42)

• Systematic analysis of machine learning techniques for Kp prediction in the framework of the H2020 project ‘SWAMI’, I. Zhelavskaya, GFZ (COSPAR2018_GFZ_Systematic analysis of machine learning_Presentation-PSW.2-0006-18)

• DTM2018 in the framework of the H2020 project SWAMI, S. Bruinsma, CNES (ESWW15_CNES_SWAMI-DTM)

 

• The H2020 project SWAMI Actitity: High Cadence Global Geomagnectic Index, G. Kervalishvili, GFZ (ESWW2018_GFZ_Poster_The swami activity_Session10-12)

 

• Systematic analysis of machine learning techniques for Kp prediction in the framework of the H2020 project ‘SWAMI’, Y. Shprits, GFZ (ESWW2018_SWAMI_GFZ_Poster_Systematic analysis of machine learning)

 

• The Extended Unified Model – a new non-hydrostatic model for the thermosphere, D. Jackson, Met Office (ESWW2018_MO_SWAMI_UM_poster)

 

 

 

 

 

 

• Swarm density assimilation in DTM, S. Bruinsma, CNES (SWARMDQ2018_CNES_Swarm density assimilation in DTM)

 

 

 

 

 

 

• Extending the Met Office Weather and Climate Model into the Thermosphere, D. Jackson, Met Office (SpringMIST_2018_MO_ExtendedUM)