Abstract

Due to its large space-time variability, the wet tropospheric correction (WTC) is still considered a significant error source in satellite altimetry. This paper presents the GNSS (Global Navigation Satellite Systems) derived Path Delay Plus (GPD+), the most recent algorithm developed at the University of Porto to retrieve improved WTC for radar altimeter missions. The GPD+ are WTC estimated by space-time objective analysis, by combining all available observations in the vicinity of the point: valid measurements from the on-board microwave radiometer (MWR), from GNSS coastal and island stations and from scanning imaging MWR on board various remote sensing missions. The GPD+ corrections are available both for missions which do not possess an on-board microwave radiometer such as CryoSat-2 (CS-2) and for all missions which carry this sensor, by addressing the various error sources inherent to the MWR-derived WTC. To ensure long-term stability of the corrections, the large set of radiometers used in this study have been calibrated with respect to the Special Sensor Microwave Imager (SSM/I) and the SSM/I Sounder (SSM/IS). The application of the algorithm to CS-2 and Geosat Follow-on (GFO), as representative altimetric missions without and with a MWR aboard the respective spacecraft, is described. Results show that, for both missions, the new WTC significantly reduces the sea level anomaly (SLA) variance with respect to the model-based corrections. For GFO, the new WTC also leads to a large reduction in SLA variance with respect to the MWR-derived WTC, recovering a large number of observations in the coastal and polar regions and full sets of tracks and several cycles when MWR measurements are missing or invalid. Overall, the algorithm allows the recovery of a significant number of measurements, ensuring the continuity and consistency of the correction in the open-ocean/coastal transition zone and at high latitudes.

Highlights

  • Due to its all-weather, day and night measurement capability, satellite radar altimetry plays a major role in the study of, e.g., ocean circulation and sea level change at global and regional scales.At present, the nearly 24-year altimetric record is long enough, e.g., to characterise the long-term sea level variability at inter-annual time scales.The retrieval of altimeter sea surface heights (SSH) above a reference ellipsoid with centimetric accuracy requires the knowledge of all terms involved in the altimeter measurement system with the same level of accuracy [1]: satellite orbit from precise orbit determination (POD); altimeter range between the satellite and the sea surface corrected for instrumental effects, from appropriate tracking of the radar echo; all required range and geophysical corrections

  • For the period of the CS-2 mission, data from over 800 Global Navigation Satellite Systems (GNSS) stations (Figure 2), the average number of contemporary stations is about 400, continuously increasing with time, and from 14 SI-microwave radiometer (MWR) are available for the wet tropospheric correction (WTC) computation: 7 AMSU-A aboard MetOp-A, MetOp-B, NOAA-15, NOAA-16, NOAA-17, NOAA-18, NOAA-19; AMSR-E on AQUA; AMSR-2 on GCOM-W1; 2 SSM/I Sounder (SSM/IS) on F16, F17; WindSat on Coriolis, TMI on TRMM and GMI on GPM

  • These scanning imaging MWR (SI-MWR) provide images which allow the spatial coverage of 70%–100% of CS-2 data if a temporal search radius of 110 min is allowed

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Summary

Introduction

Due to its all-weather, day and night measurement capability, satellite radar altimetry plays a major role in the study of, e.g., ocean circulation and sea level change at global and regional scales. An accurate enough modelling of this effect can only be achieved through actual observations of the atmospheric water vapour content at the time and location of the altimetric measurements For this purpose, dedicated near-nadir looking, single measurement, multi-frequency microwave radiometers have been incorporated in the radar altimeter missions launched after the 1990s. Designed to measure and monitor the changing thickness of ice in polar regions, CryoSat-2 (CS-2) does not carry an on-board MWR, being the baseline wet tropospheric correction applied to the radar altimeter data a model-based one, provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) Operational model. Space Agency (ESA) project COASTALT (Development of radar altimetry data processing in the oceanic coastal zone) [6], and applied, just as a coastal algorithm, in the SW European region for the whole Envisat data, aiming at removing the land effects in the MWR-derived WTC [7].

OA Implementation
Dataset Description
WTC from on-Board MWR
GNSS-Derived WTC
Tropospheric Delays from the ECMWF
Sensor Calibration
CryoSat-2
12. Spatial
17. Variance differences
Geosat Follow-on
23. Temporal evolution evolution of weighted weighted along-track SLA
24. Temporal
Discussion andrespect
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