WAVEFORM CLASSIFICATION AND RETRACKING OF JASON-2 AND JASON-3 IN HALMAHERA SEA

نویسندگان

چکیده

The accuracy of sea surface heights (SSHs) estimation from satellite altimeters is strongly influenced by the microwave reflected signals (or waveforms). Waveforms in open oceans generally have ideal shapes following Brown (1977) model. However, coastal and shallow waters, are disturbed lands, thus resulting complicated waveforms (non-Brown). Non-Brown produce inaccurate SSH estimations; therefore, specialized protocols such as waveform classification retracking crucial when attempting to accurate estimations. In this study, Jason-2 Jason-3 Halmahera were classified retracked using several algorithms, Offset Centre Gravity (OCOG), Ice, Threshold, Improved Threshold. results showed that Sea had ten generic classes with dominant class Browns. validation all retrackers (except OCOG) value correlations exceeding 0.75, Root Mean Square Error (RMSE) smaller than 25 cm at a distance 5-20 km land. Threshold 10% was most common retracker appeared highest improvement percentage (IMP), meanwhile Ice consistently produced best correlation (0.86) lowest RMSE (16cm). can improve ocean (standard) retracker.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

CAWRES: A Waveform Retracking Fuzzy Expert System for Optimizing Coastal Sea Levels from Jason-1 and Jason-2 Satellite Altimetry Data

This paper presents the Coastal Altimetry Waveform Retracking Expert System (CAWRES), a novel method to optimise the Jason satellite altimetric sea levels from multiple retracking solutions. CAWRES’ aim is to achieve the highest possible accuracy of coastal sea levels, thus bringing measurement of radar altimetry data closer to the coast. The principles of CAWRES are twofold. The first is to re...

متن کامل

Improving Jason-2 Sea Surface Heights within 10 km Offshore by Retracking Decontaminated Waveforms

It is widely believed that altimetry-derived sea surface heights (SSHs) in coastal zones are seriously degraded due to land contamination in altimeter waveforms from non-marine surfaces or due to inhomogeneous sea state conditions. Spurious peaks superimposed in radar waveforms adversely impact waveform retracking and hence require tailored algorithms to mitigate this problem. Here, we present ...

متن کامل

Jason-1 / Jason-2 metocean comparisons and monitoring

The initial tandem phase of the Jason-2 mission is important for the calibration of the entire altimetric system, not just the records of sea surface height. However, as well as allowing a bulk comparison of metocean parameters such as wave height and backscatter strength (used to infer wind speed), it affords a more detailed opportunity to understand the artefacts within each instrument. The w...

متن کامل

Coastal Waveform Retracking for Jason-2 Altimeter Data Based on Along-Track Echograms around the Tsushima Islands in Japan

Although the Brown mathematical model is the standard model for waveform retracking over open oceans, due to heterogeneous surface reflections within altimeter footprints, coastal waveforms usually deviate from open ocean waveform shapes and thus cannot be directly interpreted by the Brown model. Generally, the two primary sources of heterogeneous surface reflections are land surfaces and brigh...

متن کامل

Retracking Jason-1 Altimeter Waveforms for Marine Gravity Recovery

In order to construct improved maps of marine gravity anomalies, we have developed and tested retracking methods for determining sea surface slopes from radar altimeter return waveforms collected by the Jason-1 mission. The accuracy of marine gravity models derived from satellite altimetry depends mainly on two factors: first, the density of ground tracks covered by the mission, and second, the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Jurnal teknologi

سال: 2021

ISSN: ['2460-0288']

DOI: https://doi.org/10.11113/jurnalteknologi.v83.15125