ABSTRAKPola waveform data satelit altimeter mempengaruhi tingkat akurasi hasil estimasi ketinggian paras laut dari satelit altimeter. Pola waveform yang ditemui di perairan pesisir umumnya tidak mengikuti pola waveform yang ideal (Brown-waveform) sehingga menghasilkan estimasi ketinggian paras laut yang tidak akurat. Penelitian ini bertujuan untuk mengidentifikasi pola waveform dari satelit altimeter dan menentukan variabilitasnya. Data yang digunakan adalah data satelit altimeter Jason-2 SGDR (Sensor Geophysical Data Record) tipe D pada perairan selatan pulau Jawa selama tahun 2013 yang diperoleh dari situs jaringan data "NOAA's Comprehensive Large Array-data Stewardship System" (www.class.ncdc.noaa.gov). Identifikasi waveform dilakukan sepanjang lintasan Satelit Altimetry Jason-2 yang dibagi menjadi tiga kategori jarak yaitu, 0 -10 km (wilayah pesisir), 10 -50 km (transisi wilayah pesisir-laut lepas), dan 50 -100 km (laut lepas atau laut dalam). Hasil penelitian menunjukkan, secara umum, ditemukan empat bentuk non-Brown-waveform pada daerah study. Jumlah non-Brownwaveform terbanyak (69%) ditemui pada daerah pesisir pada jarak 0-10 km dari garis pantai. Sedangkan pada jarak 10-50 km (wilayah transisi pesisir-laut lepas) dan 50-100 km (laut lepas) dari garis pantai, jumlah non-Brown-waveform masing-masing 5% dan 3%. Pola Brownwaveform umumnya sudah dapat ditemui mulai pada jarak 7,58 km dari garis pantai, namun di laut lepas terkadang masih ditemui non-Brown-waveform. Faktor daratan dekat perairan pesisir, kedalaman dan bentuk permukaan perairan, aerosol di atmosfer, bangunan (contoh: mercusuar atau kapal) yang ditemui di daerah pesisir diduga menjadi penyebab noise pada waveforms.
ABSTRACT Waveform patterns of satellite altimetry affect the accuracy of sea surface height estimation from the satellite. The waveform patterns found in the coastal waters are generally not in the ideal form (Brown-waveform), resulting inaccurate in sea surface height estimation. The objec-tives of this research were to identify patterns of the waveform and determine their variability. Satellite altimetry Jason-2 SGDR (Sensor Geophysical Data Record) type D data located in the southern Java island waters of the year of 2013 were used and downloaded from “NOAA's Comprehensive Large Array-data Stewardship System” (www.class.ncdc.noaa.gov) . Waveform identification and analyses were conducted along the satellite pass within the distance of 0-10 km, 10-50 km, and 50-100 km form the coastline. Results showed that the highest number of non-Brown-waveform was found within 0-10 km of the coastline (69%). Meanwhile, within the distance of 10-50 km and 50-100 km from the coastline, the number of non-Brown waveform was 5% and 3%, respectively. Brown waveform patterns could be found generally starting at 7.58 km from the coastline. Factors such as land near coastal waters, the depth and shape of the surface waters, aerosols in the atmosphere, building (example: lighthouse or ship) found in coastal areas suspected to be the cause of the noise in waveforms. Keywords: Borwn and non-Brown waveform, sea level height, altimetry satellite, identification
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