An Investigation of the On-board Microwave Radiometer of Satellite Altimetry for Studying the Atmosphere Variability

Author:

Abdullah Noor1,Wijaya Dudy D.1ORCID,Meilano Irwan1,Kuntjoro Wedyanto1,Tanuwijaya Zamzam1,Abdillah Muhammad1,Nurzaman Fathin1

Affiliation:

1. Bandung Institute of Technology Faculty of Earth Science and Technology: Insitut Teknologi Bandung Fakultas Ilmu dan Teknologi Kebumian

Abstract

AbstractSince its first launching, the ability of satellite Altimetry in providing reliable and accurate ocean geophysical information of the sea surface height (SSH), significant wave height (SWH), and wind speed has been proven by numerous research, as it was designed for observing the ocean dynamics through nadir range measurement between satellite and the sea surface. However, to achieve high level accuracy, environmental and geophysical effects on the range measurement must be accurately determined and corrected, in particularly the effects from the atmospheric water vapor which can divert altimeter range up to 3–45 cm. Thus, satellite Altimetry is originally equipped by the on-board microwave radiometer to measure the water vapour content for correcting the range measurement. To our knowledge, no one has attempted to apply the on-board radiometer for atmospheric studies. In this present work, we attempt to optimize the on-board radiometer data for studying the atmosphere variability due to the El Niño–Southern Oscillation (ENSO) phenomena. We convert the on-board water vapor data into the precipitable water vapour (PWV), and we then investigate whether the derived PWV can capture the variability of ocean-atmosphere phenomena due to ENSO as accurate as the traditional Altimetry-derived sea level anomaly (SLA). Based on our analysis using the empirical orthogonal function (EOF), the results show convincing argument that Altimetry-derived PWV are reliable in examining the atmospheric fluctuation as the correlation of its primary principal component time series (PC1) with Oceanic Nino Index is higher (0.87) than SLA (0.80). The correlations between two dominant principal components (PC1 and PC2) of PWV and SLA are high, which are approximately 0.93 and − 0.67 for PC1 and PC2, respectively. These results may reinforce the confidence in the ability of satellite Altimetry for ocean-atmospheric studies.

Publisher

Research Square Platform LLC

Reference70 articles.

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