Homogenizing GPS Integrated Water Vapor Time Series: Benchmarking Break Detection Methods on Synthetic Data Sets-Reference-Cited by-同舟云学术

Homogenizing GPS Integrated Water Vapor Time Series: Benchmarking Break Detection Methods on Synthetic Data Sets

Published:2020-05 Issue:5 Volume:7 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Van Malderen R.¹^ORCID,Pottiaux E.²,Klos A.³^ORCID,Domonkos P.⁴,Elias M.⁵,Ning T.⁶,Bock O.⁷,Guijarro J.⁸^ORCID,Alshawaf F.⁹^ORCID,Hoseini M.¹⁰^ORCID,Quarello A.⁷¹¹^ORCID,Lebarbier E.¹¹,Chimani B.¹²,Tornatore V.¹³^ORCID,Zengin Kazancı S.¹⁴,Bogusz J.³^ORCID

Affiliation:

1. Royal Meteorological Institute of Belgium Brussels Belgium

2. Royal Observatory of Belgium (ROB) Brussels Belgium

3. Military University of TechnologyFaculty of Civil Engineering and Geodesy Warsaw Poland

4. Unaffiliated Tortosa Spain

5. Topography and CartographyResearch Institute of Geodesy Zdiby Czech Republic

6. Lantmäteriet (Swedish Mapping, Cadastral and Land Registration Authority) Gävle Sweden

7. IPGP, IGNUniversité de Paris, CNRS, UMR Paris France

8. AEMET (State Meteorological Agency) Madrid Spain

9. German Research Centre for Geosciences GFZ Potsdam Germany

10. Norwegian University of Science and TechnologyDepartment of Civil and Environmental Engineering Trondheim Norway

11. AgroParisTech, INRA Paris France

12. Zentralanstalt für Meteorologie und Geophysik Vienna Austria

13. Politecnico di Milano, DICA Milan Italy

14. Karadeniz Technical UniversityDepartment of Geomatics Engineering Trabzon Turkey

Funder

Belgian Federal Science Policy Office

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020EA001121

Reference58 articles.

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2. AlexandrovT.A method of trend extraction using singular spectrum analysis. arXiv preprint arXiv:0804.3367.2008.

3. The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H<sub>2</sub>O columns from GOME, SCIAMACHY, and GOME-2

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