Construction of the Mean Sea Surface Model Combined HY-2A With DTU18 MSS in the Antarctic Ocean

Abstract

A new Mean Sea Surface (MSS) model called Shandong University of Science and Technology Antarctic Mean Sea Surface model (SDUST_ANT MSS) in the Antarctic Ocean is presented and validated in this paper. The SDUST_ANT MSS updates the DTU18 MSS with 6 years of Exact Repeat Mission (ERM) and Geodetic Mission (GM) data from HY-2A. Collinear adjustment was applied to all the ERM data to obtain the along-track mean sea surface height. Oceanic variability has been removed from the GM data. Crossover adjustment was applied to both the ERM and GM data. We constructed the HY-2A_MSS using HY-2A altimetry data based on optimal interpolation method. Several types of errors (such as white noise, residual effect of oceanic variability, and long wavelength bias) have been taken into account for the determination of MSS using optimal interpolation method. The SDUST_ANT MSS was constructed by mapping HY-2A_MSS onto the DTU18 MSS. The SDUST_ANT MSS was compared with DTU18 MSS and CNES_CLS15 MSS. At wavelengths below 150 km, differences between models are consistent with seafloor topographic gradient. At wavelengths above 150 km, differences are affected by the mesoscale activities and the altimetry errors in coastal areas. The errors of the three models, as indicated by their power spectral densities (PSDs), are of similar orders of magnitude. The absolute error is slightly smaller in SDUST_ANT than in CNES_CLS15 or DTU18.

Analysis of a Relative Offset between the North American and the Global Vertical Datum in Gravity Potential Space

“…Various numerical results for the mean geopotential value of the global mean sea surface, W MSS , have been calculated using global mean sea surface (MSS) height models and GGMs [37]. To improve accuracy, the DTU18MSS model incorporates a processing method and utilizes an updated version of the ocean tide model, namely the Finite Element Solution tidal model, thereby enhancing the accuracy of the calculations.…”

SDUST2020 MSS: A global 1′×1′ mean sea surface model determined from multi-satellite altimetry data

“…Satellite (period) SDUST2020 CLS15 DTU18 ERS-1 (1995ERS-1 ( .04.01-1996 0.0529 0.0509 0.0524 HY-2A (2014HY-2A ( .04.12-2016 0.0565 0.0610 0.0618 Jason-3 (2017Jason-3 ( .01.01-2018 0.0414 0.0431 0.0480 Sentinel-3A (2016Sentinel-3A ( .06.28-2018 To more accurately assess and quantify the differences of model errors about SDUST2020, CLS15 and DTU18 in different wavelengths, the Sentinel-3B data (1-year, 2019.01.01-2019.12.31) are selected to calculate sea level anomaly (SLA) alongtrack based on these three models and obtain SLA power spectral density (PSD). Since the Sentinel-3B data are independent of these three models, the difference between the SLA PSDs of Sentinel-3B along-track calculated based on these three models reflects the difference in the error of these three models (Pujol et al, 2018;Sun et al, 2021).…”

A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations

“…The WHU2013 was developed by Wuhan University (Jin, Li, and Jiang 2016) and can be acquired from the author. These three models were all derived from ERS-1/2, Envisat and Cryosat-2 inside the Arctic circle (Skourup et al 2017;Sun et al 2021) but they had different spatial coverages. The 2' resolution DTU21 and WHU2013 models and the 1' resolution CLS2015 model were acquired in this paper.…”