DOI: 10.5194/tc-14-1889-2020
论文题名: CryoSat Ice Baseline-D validation and evolutions
作者: Meloni M. ; Bouffard J. ; Parrinello T. ; Dawson G. ; Garnier F. ; Helm V. ; Di Bella A. ; Hendricks S. ; Ricker R. ; Webb E. ; Wright B. ; Nielsen K. ; Lee S. ; Passaro M. ; Scagliola M. ; Bjerregaard Simonsen S. ; Sandberg Sørensen L. ; Brockley D. ; Baker S. ; Fleury S. ; Bamber J. ; Maestri L. ; Skourup H. ; Forsberg R. ; Mizzi L.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期: 6 起始页码: 1889
结束页码: 1907
语种: 英语
英文关键词: altitude
; CryoSat
; data acquisition
; data processing
; data quality
; ice sheet
; ice thickness
; measurement method
; model validation
; precision
; synthetic aperture radar
; Arctic
; Austfonna
; Beaufort
; Nordaustlandet
; North Carolina
; Svalbard
; Svalbard and Jan Mayen
; United States
英文摘要: The ESA Earth Explorer CryoSat-2 was launched on 8 April 2010 to monitor the precise changes in the thickness of terrestrial ice sheets and marine floating ice. To do that, CryoSat orbits the planet at an altitude of around 720 km with a retrograde orbit inclination of 92? and a quasi repeat cycle of 369 d (30 d subcycle). To reach the mission goals, the CryoSat products have to meet the highest quality standards to date, achieved through continual improvements of the operational processing chains. The new CryoSat Ice Baseline-D, in operation since 27 May 2019, represents a major processor upgrade with respect to the previous Ice Baseline-C. Over land ice the new Baseline-D provides better results with respect to the previous baseline when comparing the data to a reference elevation model over the Austfonna ice cap region, improving the ascending and descending crossover statistics from 1.9 to 0.1 m. The improved processing of the star tracker measurements implemented in Baseline-D has led to a reduction in the standard deviation of the point-to-point comparison with the previous star tracker processing method implemented in Baseline-C from 3.8 to 3.7 m. Over sea ice, Baseline-D improves the quality of the retrieved heights inside and at the boundaries of the synthetic aperture radar interferometric (SARIn or SIN) acquisition mask, removing the negative freeboard pattern which is beneficial not only for freeboard retrieval but also for any application that exploits the phase information from SARIn Level 1B (L1B) products. In addition, scatter comparisons with the Beaufort Gyre Exploration Project (BGEP; https://www.whoi.edu/beaufortgyre, last access: October 2019) and Operation IceBridge (OIB; Kurtz et al., 2013) in situ measurements confirm the improvements in the Baseline-D freeboard product quality. Relative to OIB, the Baseline-D freeboard mean bias is reduced by about 8 cm, which roughly corresponds to a 60 % decrease with respect to Baseline-C. The BGEP data indicate a similar tendency with a mean draft bias lowered from 0.85 to-0.14 m. For the two in situ datasets, the root mean square deviation (RMSD) is also well reduced from 14 to 11 cm for OIB and by a factor of 2 for the BGEP. Observations over inland waters show a slight increase in the percentage of good observations in Baseline-D, generally around 5 %-10 % for most lakes. This paper provides an overview of the new Level 1 and Level 2 (L2) CryoSat Ice Baseline-D evolutions and related data quality assessment, based on results obtained from analyzing the 6-month Baseline-D test dataset released to CryoSat expert users prior to the final transfer to operations. © Author(s) 2020. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164535
Appears in Collections: 气候变化与战略
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作者单位: Serco C/o ESA, Earth Observation Directorate, Via Galileo Galilei, Frascati, 2-00044, Italy; ESA (European Space Agency), Earth Observation Directorate, Via Galileo Galilei, Frascati, 2-00044, Italy; Bristol Glaciology Centre, School of Geographical Sciences, University of Bristol, Bristol, United Kingdom; LEGOS, University of Toulouse, CNRS, IRD, CNES, UPS, Toulouse, France; DTU Space, National Space Institute, Department of Geodynamics, Technical University of Denmark, Kongens Lyngby, Denmark; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Klussmanstr. 3D, Bremerhaven, 27570, Germany; Telespazio VEGA UK Ltd., 350 Capability Green, Luton, Bedfordshire, LU1 3LU, United Kingdom; Aresys S.r.l., via Privata Flumendosa, 16, Milan, 20132, Italy; University College London Mullard Space Science Laboratory, Holmbury St Mary, RH5 6NT, United Kingdom; Deutsches Geodätisches Forschungsinstitut (DGFI-TUM), Munich, Germany; Telespazio, Via Tiburtina, 965, Rome, 00156, Italy; Centre for Polar Observation and Modelling, Earth Sciences, University College London, 5 Gower Place, London, WC1E 6BS, United Kingdom
Recommended Citation:
Meloni M.,Bouffard J.,Parrinello T.,et al. CryoSat Ice Baseline-D validation and evolutions[J]. Cryosphere,2020-01-01,14(6)