Open Access
| Issue |
J. Space Weather Space Clim.
Volume 16, 2026
|
|
|---|---|---|
| Article Number | 1 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/swsc/2025055 | |
| Published online | 07 January 2026 | |
- Anthes, R, Rieckh T. 2018. Estimating observation and model error variances using multiple data sets. Atmos Meas Tech 11 (7): 4239–4260. https://doi.org/10.5194/amt-11-4239-2018. [Google Scholar]
- Awange, JL, VG Ferreira, E Forootan, Khandu, Andam-Akorful SA, et al. 2016. Uncertainties in remotely sensed precipitation data over Africa. Int J Climatol 36 (1): 303–323. https://doi.org/10.1002/joc.4346. [Google Scholar]
- Bamford, RA, Stamper R, Cander LR. 2008. A comparison between the hourly autoscaled and manually scaled characteristics from the Chilton ionosonde from 1996 to 2004. Radio Sci 43 (1): 1–11. https://doi.org/10.1029/2005RS003401. [Google Scholar]
- Bilitza, D, Altadill D, Truhlik V, Shubin V, Galkin I, et al. 2017. International reference ionosphere 2016: From ionospheric climate to real-time weather predictions. Space Weather 15 (2): 418–429. https://doi.org/10.1002/2016SW001593. [CrossRef] [Google Scholar]
- Bilitza, D, Pezzopane M, Truhlik V, Altadill D, Reinisch BW, et al. 2022. The international reference ionosphere model: A review and description of an ionospheric benchmark. Rev Geophys 60 (4): e2022RG000792. https://doi.org/10.1029/2022RG000792. [CrossRef] [Google Scholar]
- Cherniak, I, Zakharenkova I, Braun J, Wu Q, Pedatella N, et al. 2021. Accuracy assessment of the quiet-time ionospheric F2 peak parameters as derived from COSMIC-2 multi-GNSS radio occultation measurements. J Space Weather Space Clim 11: 18. https://doi.org/10.1051/swsc/2020080. [CrossRef] [EDP Sciences] [Google Scholar]
- Coïsson, P, Nava B, Radicella SM, Oladipo OA, Adeniyi JO, et al. 2008. NeQuick bottomside analysis at low latitudes. J Atmos Solar-Terr Phys 70 (15): 1911–1918. https://doi.org/10.1016/j.jastp.2008.08.004. [Google Scholar]
- Ekstrom, CR, Koppang PA. 2006. Error bars for three-cornered hats. IEEE Trans Ultrason Ferroelectric Freq Control 53 (5): 876–879. https://doi.org/10.1109/TUFFC.2006.1632679. [Google Scholar]
- Galkin, IA, Reinisch BW. 2008. The new ARTIST 5 for all digisondes. Ionosonde Network Advis Group Bull 69, 8. https://www.ursi.org/files/CommissionWebsites/INAG/web-69/2008/artist5-inag.pdf. [Google Scholar]
- Gray, JE, Allan DW. 1974. A method for estimating the frequency stability of an individual oscillator. In: 28th Annual Symposium on Frequency Control, 29–31 May 1974. https://tf.nist.gov/general/pdf/57.pdf. [Google Scholar]
- Griggs, E, Kursinski ER, Akos D. 2014. An investigation of GNSS atomic clock behavior at short time intervals. GPS Solut 18 (3): 443–452. https://doi.org/10.1007/s10291-013-0343-7. [Google Scholar]
- Hu, L, Ning B, Liu L, Zhao B, Li G, et al. 2014. Validation of COSMIC ionospheric peak parameters by the measurements of an ionosonde chain in China. Ann Geophys 32 (10): 1311–1319. https://doi.org/10.5194/angeo-32-1311-2014. [Google Scholar]
- Janjić, T, Bormann N, Bocquet M, Carton JA, Cohn SE, et al. 2018. On the representation error in data assimilation. Quart J Royal Meteorolog Soc 144 (713): 1257–1278. https://doi.org/10.1002/qj.3130. [Google Scholar]
- Jones, WBGallet RM. 1962. Representation of diurnal and geographic variations of ionospheric data by numerical methods. Telecomm J 29 (5): 129–147. [Google Scholar]
- Krankowski, A, Zakharenkova I, Krypiak-Gregorczyk A, Shagimuratov II, Wielgosz P. 2011. Ionospheric electron density observed by FORMOSAT-3/COSMIC over the European region and validated by ionosonde data. J Geodesy 85 (12): 949–964. https://doi.org/10.1007/s00190-011-0481-z. [Google Scholar]
- Kuo, YH, Wee TK, Sokolovskiy S, Rocken C, Schreiner W, et al. 2004. Inversion and error estimation of GPS radio occultation data. J Meteorolog Soci Jpn Ser II 82 (1B), 507–531. https://doi.org/10.2151/jmsj.2004.507. [Google Scholar]
- Lei, J, Syndergaard S, Burns AG, Solomon SC, Wang W, et al. 2007. Comparison of COSMIC ionospheric measurements with ground-based observations and model predictions: Preliminary results. J Geophys Res: Space Phys 112 (A7): A07308. https://doi.org/10.1029/2006JA012240. [Google Scholar]
- Leitinger, R, Kirchengast G. 1997. Easy to use Global and Regional Ionospheric Models – A Report on Approaches Used in Graz. Acta Geod Geophys Hung 32(3): 329–342. https://doi.org/10.1007/BF03325504. [Google Scholar]
- Liang, J, Liu C, Wang X, Meng X, Sun Y, et al. 2024. Assessment of FY-3E GNOS II radio occultation data using an improved three-cornered hat method. Remote Sens 16 (20): 3808. https://doi.org/10.3390/rs16203808. [Google Scholar]
- Liu, H-L, Bardeen CG, Foster BT, Lauritzen P, Liu J, et al. 2018. Development and validation of the whole atmosphere community climate model with thermosphere and ionosphere extension (WACCM-X 2.0). J Adv Model Earth Syst 10 (2): 381–402. https://doi.org/10.1002/2017MS001232. [CrossRef] [Google Scholar]
- Liu, J-Y, Lee C-C, Yang J-Y, Chen C-Y, Reinisch BW. 2010. Electron density profiles in the equatorial ionosphere observed by the FORMOSAT-3/COSMIC and a digisonde at Jicamarca. GPS Solut 14 (1): 75–81. https://doi.org/10.1007/s10291-009-0150-3. [Google Scholar]
- Long, D, Longuevergne L, Scanlon BR. 2014. Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites. Water Resour Res 50 (2): 1131–1151. https://doi.org/10.1002/2013WR014581. [Google Scholar]
- Nava, B, Coïsson P, Radicella SM. 2008. A new version of the NeQuick ionosphere electron density model. J Atmos Solar-Terr Phys 70 (15): 1856–1862. https://doi.org/10.1016/j.jastp.2008.01.015. [Google Scholar]
- O’Carroll, AG, Eyre JR, Saunders RW. 2008. Three-way error analysis between AATSR, AMSR-E, and in situ sea surface temperature observations. J Atmos Oceanic Technol 25 (7): 1197–1207. https://doi.org/10.1175/2007JTECHO542.1. [Google Scholar]
- Pedatella, NM, Yue X, Schreiner WS. 2015. Comparison between GPS radio occultation electron densities and in situ satellite observations. Radio Sci 50 (6): 518–525. https://doi.org/10.1002/2015RS005677. [Google Scholar]
- Premoli, A, Tavella P. 1993. A revisited three-cornered hat method for estimating frequency standard instability. IEEE Trans Instrument Measur 42 (1): 7–13. https://doi.org/10.1109/19.206671. [Google Scholar]
- Reinisch, BW, Galkin IA. 2011. Global ionospheric radio observatory (GIRO). Earth Planets Space 63 (4): 377–381. https://doi.org/10.5047/eps.2011.03.001. [CrossRef] [Google Scholar]
- Rieckh, T, Anthes R. 2018. Evaluating two methods of estimating error variances using simulated data sets with known errors. Atmos Meas Tech 11 (7): 4309–4325. https://doi.org/10.5194/amt-11-4309-2018. [Google Scholar]
- Rieckh, T, Sjoberg JP, Anthes RA. 2021. The three-cornered hat method for estimating error variances of three or more atmospheric datasets. Part II: Evaluating radio occultation and radiosonde observations, global model forecasts, and reanalyses. J Atmos Oceanic Technol 38 (10): 1777–1796. https://doi.org/10.1175/JTECH-D-20-0209.1. [Google Scholar]
- Schreiner, W, Rocken C, Sokolovskiy S, Syndergaard S, Hunt D. 2007. Estimates of the precision of GPS radio occultations from the COSMIC/FORMOSAT-3 mission. Geophys Res Lett 34 (4): L04808. https://doi.org/10.1029/2006GL027557. [Google Scholar]
- Semane, N, Anthes R, Sjoberg J, Healy S, Ruston B. 2022. Comparison of desroziers and three-cornered hat methods for estimating COSMIC-2 bending angle uncertainties. J Atmos Oceanic Technol 39 (7): 929–939. https://doi.org/10.1175/JTECH-D-21-0175.1. [Google Scholar]
- Shim, JS, Song I-S, Jee G, Kwak Y-S, Tsagouri I, et al. 2023. Validation of ionospheric specifications during geomagnetic storms: TEC and foF2 during the 2013 march storm event-II. Space Weather 21 (5): e2022SW003388. https://doi.org/https://doi.org/10.1029/2022SW003388. [Google Scholar]
- Sjoberg, JP, Anthes RA, Rieckh T. 2021. The three-cornered hat method for estimating error variances of three or more atmospheric datasets. Part I: Overview and evaluation. J Atmos Oceanic Technol 38 (3): 555–572. https://doi.org/10.1175/JTECH-D-19-0217.1. [Google Scholar]
- Stankov, S, Jodogne JC, Kutiev I, Stegen K, Warnant R. 2012. Evaluation of automatic ionogram scaling for use in real-time ionospheric density profile specification: Dourbes DGS-256/ARTIST-4 performance. Ann Geophys 55: 283–291. https://doi.org/10.4401/ag-4976. [Google Scholar]
- Stankov, SM, Verhulst TGW, Sapundjiev D. 2023. Automatic ionospheric weather monitoring with DPS-4D ionosonde and ARTIST-5 autoscaler: System performance at a mid-latitude observatory. Radio Sci 58 (2): e2022RS007628. https://doi.org/10.1029/2022RS007628. [Google Scholar]
- Todling, R, Semane N, Anthes R, Healy S. 2022. The relationship between two methods for estimating uncertainties in data assimilation. Quart J Royal Meteorol Soc 148 (747): 2942–2954. https://doi.org/10.1002/qj.4343. [Google Scholar]
- Wu, X, Hu X, Gong X, Zhang X, Wang X. 2009. Analysis of inversion errors of ionospheric radio occultation. GPS Solut 13 (3): 231–239. https://doi.org/10.1007/s10291-008-0116-x. [Google Scholar]
- Yue, X, Schreiner WS, Lei J, Sokolovskiy SV, Rocken C, et al. 2010. Error analysis of Abel retrieved electron density profiles from radio occultation measurements. Ann Geophys 28 (1): 217–222. https://doi.org/10.5194/angeo-28-217-2010. [Google Scholar]
- Yue, X, Schreiner WS, Lin Y-C, Rocken C, Kuo Y-H, et al. 2011. Data assimilation retrieval of electron density profiles from radio occultation measurements. J Geophys Res: Space Phys 116: A3. https://doi.org/10.1029/2010JA015980. [Google Scholar]
- Yue, X, Schreiner WS, Rocken C, Kuo Y-H, Lei J. 2012. Artificial ionospheric wave number 4 structure below the F2 region due to the Abel retrieval of radio occultation measurements. GPS Solut 16 (1): 1–7. https://doi.org/10.1007/s10291-010-0201-9. [Google Scholar]
- Yue, X, Schreiner WS, Pedatella NM, Kuo Y-H. 2016. Characterizing GPS radio occultation loss of lock due to ionospheric weather. Space Weather 14 (4): 285–299. https://doi.org/10.1002/2015SW001340. [CrossRef] [Google Scholar]
- Zhang, S, Wu X, Hu X. 2023. Ionospheric vertical correlation distance calculation based on COSMIC electron density profile data. J Geophys Res: Space Phys 128 (7): e2023JA031453. https://doi.org/10.1029/2023JA031453. [Google Scholar]
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