Merged envisat and jason satellite altimeters using crossovers adjustment to determine sea level variability

International Conference on Climate Change 2018

Handoko, E.Y.^1 ; Hariyadi^2

Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya

60111, Indonesia^1

Faculty of Fisheries and Marine Sciences, University of Diponegoro, Semarang

50275, Indonesia^2

关键词: Adjustment method;    Air temperature;    ENVISAT satellite;    Satellite altimeter;    Sea level anomaly;    Sea level trends;    Sea level variability;    Tandem missions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/200/1/012035/pdf
DOI  :  10.1088/1755-1315/200/1/012035

来源: IOP

【 摘 要 】

It is considered that climate change has been increasing the global air temperature and rising sea level. Thus, the monitoring of sea level is necessary to mitigate the hazard risk. For estimating sea level change from various altimetric missions, attention must be taken to determine the bias of measurements between altimetric different missions. The aim of this study is to merge both of Jason series and Envisat satellite altimeters for estimating sea level variability around the Indonesian Seas. To create sea level time series, two adjustment methods are employed: tandem mission data and sea level anomaly differences at crossovers. The adjustment using tandem mission between Jason-1 and Jason-2 obtained a relative difference of 32.8 5.4 mm. The adjustment method at crossovers is applied for combining Envisat and Jason series which is already intercalibrated. The mean crossovers differences between Envisat and reference missions are less than 2.5 cm. By using merged datasets from all missions, it is discovered that the trend in the Indonesian seas for a period of 10 years is 11.9 mm years-1. The map of sea level trends from all satellites data for that period is performed in 1° × 1° regular grids.