Variability and Validation of Sea Surface Temperature Estimated by Pathfinder Algorithm of Noaa-Avhrr Satellite in the North Papua Waters

Abstract

Variability and validation of sea surface temperatures (SST) in north Papua waters were conducted using SST estimated by Pathfinder algorithm of NOAA AVHRR satellite and SST measurements from TAO buoy in 2001-2009. Satellite data (SST Pathfinder) were daily, weekly, and monthly composite with 4x4 km2 resolution and downloaded from http://poet.jpl.nasa.gov. In situ data (SST measurement from buoy TAO) were measured at a depth of 1.5 m and recorded every hour (http://www.pmel.noaa.gov/tao_deliv). The in situ data then converted into daily, weekly, and monthly average data. In general, the SST values of both satellite and in situ SST in the north Papua waters ranged between 27.10 - 31.90 °C. During the east season (June-September), SST values (27.90-31.90 °C) were generally higher than the SST values ( 27.10-30.13 °C) during the west season (December-February). In general, the SST values both day-time and night-time from in situ and the satellite measurements showed no significant differences except in waters close to the shore. The results also showed that the coefficient of determination values (R2) between the satellite and the in situ SST measurements were relatively low (65%) and up to 5% of RMSE. The relatively low correlation between in situ dan satellite SST measurements may be due to high cloud coverage (90-96%) in the north Papua waters so that SST satellite data become less representative of the in situ data. These results also indicated that the Pathfinder algorithm can not be used as a valid estimate of SST NOAA AVHRR satellite for the north Papua waters.
 Keywords: SST Pathfinder, NOAA AVHRR, Validation, TAO buoy, North Papua Waters

Sea Surface Temperature Dan Chlorophyll-a Concentration Variabilities of Jakarta Bay and Its Surrounding Waters

“…Nababan et al (2011) melaporkan bahwa tutupan awan bulanan di atas perairan Indonesia bisa mencapai hinga 90-96%. Untuk mengatasi data yang kosong ini, linear interpolasi dilakukan terhadap data sebelum dan setelah data kosong.…”

Sea Surface Temperature Dan Chlorophyll-a Concentration Variabilities of Jakarta Bay and Its Surrounding Waters

“…Beberapa data SPL dan Chla tidak ditemui mengingat tutupan awan yang sangat tinggi. Nababan et al (2011) 1997 1998 1999 2000 2001 Sep., Okt., Nop. Jan., Feb., Mar., Apr.…”