the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The DTU21 Global Mean Sea Surface and First Evaluation
Ole Baltazar Andersen
Stine Kildegaard Rose
Adili Abulaitijiang
Shengjun Zhang
Sara Fleury
Abstract. A new Mean Sea Surface (MSS) called DTU21MSS for referencing sea level anomalies from satellite altimetry is introduced in this paper and a suite of evaluations are performed. One of the reasons for updating the existing Mean Sea Surface is the fact, that during the last 6 years nearly three times as much data have been made available by the space agencies, resulting in more than 15 years of altimetry from Long Repeat Orbits or Geodetic Missions. This includes the two interleaved long repeat cycles of Jason-2 with a systematic cross-track distance as low as 4 km.
A new processing chain with updated filtering and editing has been implemented for DTU21MSS. This way, the DTU21MSS has been computed from 2 Hz altimetry in contrast to the former DTU15MSS/DTU18MSS which were computed from 1 Hz altimetry. The new DTU21MSS is computed over the same 20-year averaging time from 1993.01.01 to 2012.12.31 with a well-specified central time of 2003.01.01 and is available from the following site; (https://doi.org/10.11583/DTU.19383221.v1, Andersen, 2022)
Cryosat-2 employs SAR and SARin modes in a large part of the Arctic Ocean due to the presence of sea ice. For SAR and SARin mode data we applied the SAMOSA+ physical retracking in order to make it compatible with the physical retracker used for conventional Low-Resolution Mode data in other parts of the ocean.
Ole Baltazar Andersen et al.
Status: open (until 03 Jul 2023)
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RC1: 'Comment on essd-2023-160', Anonymous Referee #1, 14 May 2023
reply
- Satellite altimeter data of 2 Hz instead of 1 Hz are used to construct DTU21MSS in the manuscript. The diameter of general footprint for radar altimeter is commonly about 4-10 km. So the correlation of 2-Hz SSHs should be considered in the study.
- The time of DTU21MSS spans about 20 years (1993.1.1 to 2012.12.31). You know, 19-year is very better for the MSS time span (Yuan et al. 2020. https://doi.org/10.1016/j.csr.2019.104009). Many satellite altimeter data are collected since 2013, and it is very important to reduce them to 1993.1.1~2012.12.31 with the SSH time change correction method.
- There are many satellite altimetry missions in table 1 with different SSH resolution and precision. How to evaluate effects of resolution and precision on MSS models? Here GM data are all since 2010, and how to reduce the time reference to 1993.1.1 to 2012.12.31?
- The uncertainty of MSS for the low frequency of over 150 km is very serious. And the uncertainty of MSS over the polar area and the coastal area is very great. How to evaluate and reduce these uncertainties?
- What about the mechanism for the large change of MSS over the serious sea currents?
- Please increase practical applications of MSS model.
Citation: https://doi.org/10.5194/essd-2023-160-RC1
Ole Baltazar Andersen et al.
Data sets
DTU21 Mean Sea Surface Ole Baltazar Andersen https://doi.org/10.11583/DTU.19383221.v1
Ole Baltazar Andersen et al.
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