Zobrazeno 1 - 10
of 52
pro vyhledávání: '"M. Schwaerz"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 1259-1284 (2023)
We developed a new approach to monitor sudden stratospheric warming (SSW) events under climate change since 1980 based on reanalysis data verified by radio occultation data. We constructed gridded daily mean temperature anomalies from the input field
Externí odkaz:
https://doaj.org/article/b0569c859fd845b89fadd09dc8ee39e7
Publikováno v:
Earth and Space Science, Vol 8, Iss 6, Pp n/a-n/a (2021)
Abstract The kappa‐correction is an easy‐to‐use method to correct for residual ionospheric errors in radio occultation (RO) data. It is a simple empirical model term that only depends on readily available data. While its basic utility was well
Externí odkaz:
https://doaj.org/article/c5f484682224475dbfb80af215ba2e8f
Publikováno v:
Earth and Space Science, Vol 7, Iss 7, Pp n/a-n/a (2020)
Abstract A new model was recently introduced to correct for higher‐order ionospheric residual biases in radio occultation (RO) data. The model depends on the α1 and α2 dual‐frequency bending angle difference squared, and a factor κ, which vari
Externí odkaz:
https://doaj.org/article/fc3fc564c5794043a0d61208b8732187
Publikováno v:
Atmospheric Measurement Techniques, Vol 11, Pp 2601-2631 (2018)
Global Navigation Satellite System (GNSS) radio occultation (RO) observations are highly accurate, long-term stable data sets and are globally available as a continuous record from 2001. Essential climate variables for the thermodynamic state of t
Externí odkaz:
https://doaj.org/article/0087511755e54d92bfd3df01fc6e0a33
Publikováno v:
Atmospheric Measurement Techniques, Vol 11, Pp 2427-2440 (2018)
The Global Navigation Satellite System (GNSS) radio occultation (RO) technique is widely used to observe the atmosphere for applications such as numerical weather prediction and global climate monitoring. The ionosphere is a major error source to
Externí odkaz:
https://doaj.org/article/44fc05c114604d4c9d4640f449470249
Autor:
Y. Li, G. Kirchengast, B. Scherllin-Pirscher, R. Norman, Y. B. Yuan, J. Fritzer, M. Schwaerz, K. Zhang
Publikováno v:
Atmospheric Measurement Techniques, Vol 8, Iss 8, Pp 3447-3465 (2015)
We introduce a new dynamic statistical optimization algorithm to initialize ionosphere-corrected bending angles of Global Navigation Satellite System (GNSS)-based radio occultation (RO) measurements. The new algorithm estimates background and observa
Externí odkaz:
https://doaj.org/article/482910da5d2e4fc7b7e2d4d1ac22fbb3
Autor:
C. L. Liu, G. Kirchengast, K. Zhang, R. Norman, Y. Li, S. C. Zhang, J. Fritzer, M. Schwaerz, S. Q. Wu, Z. X. Tan
Publikováno v:
Atmospheric Measurement Techniques, Vol 8, Iss 7, Pp 2999-3019 (2015)
The radio occultation (RO) technique using signals from the Global Navigation Satellite System (GNSS), in particular from the Global Positioning System (GPS) so far, is currently widely used to observe the atmosphere for applications such as numerica
Externí odkaz:
https://doaj.org/article/9de9d63df4ac45da80a5c7218974bbd5
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Earth and Space Science (Hoboken, N.j.)
Earth and Space Science, Vol 8, Iss 6, Pp n/a-n/a (2021)
Earth and Space Science, Vol 8, Iss 6, Pp n/a-n/a (2021)
The kappa‐correction is an easy‐to‐use method to correct for residual ionospheric errors in radio occultation (RO) data. It is a simple empirical model term that only depends on readily available data. While its basic utility was well proven in
Autor:
M. Schwaerz, Stig Syndergaard, Congliang Liu, Julia Danzer, Yueqiang Sun, Gottfried Kirchengast
Publikováno v:
Remote Sensing; Volume 12; Issue 21; Pages: 3637
Remote Sensing, Vol 12, Iss 3637, p 3637 (2020)
Remote Sensing, Vol 12, Iss 3637, p 3637 (2020)
The residual ionospheric error (RIE) from higher-order terms in the refractive index is not negligible when using global navigation satellite system (GNSS) radio occultation (RO) data for climate and meteorology applications in the stratosphere. In t