A machine learning approach to recover GRACE-B accelerometer data

Saniya Behzadpour, Junyang Gou, Mostafa Kiani Shahvandi, Felix Öhlinger, Torsten Mayer-Gürr, Benedikt Soja

Publikation: Konferenzbeitrag › Abstract › Begutachtung

Originalsprache	englisch
DOIs	https://doi.org/10.5194/egusphere-egu23-13538
Publikationsstatus	Veröffentlicht - 15 Mai 2023
Veranstaltung	European Geosciences Union General Assembly 2023: EGU 2023 - Wien, Österreich Dauer: 23 Apr. 2023 → 28 Apr. 2023

Konferenz	European Geosciences Union General Assembly 2023
Kurztitel	EGU23
Land/Gebiet	Österreich
Ort	Wien
Zeitraum	23/04/23 → 28/04/23

Zugriff auf Dokument

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title = "A machine learning approach to recover GRACE-B accelerometer data",

author = "Saniya Behzadpour and Junyang Gou and Shahvandi, {Mostafa Kiani} and Felix {\"O}hlinger and Torsten Mayer-G{\"u}rr and Benedikt Soja",

year = "2023",

month = may,

day = "15",

doi = "10.5194/egusphere-egu23-13538",

language = "English",

note = "European Geosciences Union General Assembly 2023 : EGU 2023, EGU23 ; Conference date: 23-04-2023 Through 28-04-2023",

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T1 - A machine learning approach to recover GRACE-B accelerometer data

AU - Behzadpour, Saniya

AU - Gou, Junyang

AU - Shahvandi, Mostafa Kiani

AU - Öhlinger, Felix

AU - Mayer-Gürr, Torsten

AU - Soja, Benedikt

PY - 2023/5/15

Y1 - 2023/5/15

UR - https://doi.org/10.5194/egusphere-egu23-13538

U2 - 10.5194/egusphere-egu23-13538

DO - 10.5194/egusphere-egu23-13538

M3 - Abstract

T2 - European Geosciences Union General Assembly 2023

Y2 - 23 April 2023 through 28 April 2023

ER -