Analisis Spasial-Temporal Gayaberat dari Satelit GRACE dan GRACEFO untuk Mengamati Perubahan Musim di Indonesia

Rahayu, Safri Yanti (2021) Analisis Spasial-Temporal Gayaberat dari Satelit GRACE dan GRACEFO untuk Mengamati Perubahan Musim di Indonesia. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 03311950010008-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2023. Download (6MB) | Request a copy

Abstract

Musim adalah rentang waktu cuaca yang paling jelas terlihat. Jika dilihat dari letak geografisnya, variasi musim di Indonesia yang paling mencolok adalah pada curah hujan. Sejalan dengan terjadinya perubahan iklim, curah hujan juga cenderung berubah sehingga mengakibatkan terjadinya perubahan musim. Perubahan musim disebut juga dengan perubahan cuaca yang dihasilkan oleh interaksi air permukaan seperti siklus air. Hal ini menunjukkan bahwa variasi cuaca berkaitan dengan perubahan massa air di bumi.
Satelit Gravity Recovery and Climate Experiment (GRACE) dan Gravity Recovery and Climate Experiment Follow On (GRACE-FO) merupakan satelit pemantauan gayaberat yang sangat sensitif terhadap perubahan massa terutama sinyal redistribusi massa air. Data dari satelit ini dapat digunakan untuk mengamati distribusi air dalam bentuk variasi massa air, Equivalent Water Height (EWH). Selain menggunakan data satelit GRACE, penelitian ini juga menggunakan data satelit Tropical Rainfall Measuring Mission (TRMM) yang dapat digunakan untuk mengamati curah hujan.
Hasil dari penelitian ini menunjukkan bahwa nilai EWH tertinggi terjadi pada bulan Nopember 2003 di zona 1 yaitu 36.471 cm dan nilai EWH terendah juga berada di zona 1 pada bulan Mei 2014 yaitu -27.113 cm. Kemudian sinyal time series gayaberat yang paling dominan di Indonesia sejak 2002 hingga 2020 adalah tren, yaitu sebesar 45.179% diikuti dengan sinyal seasonal sebesar 23.501%. Pola musim berkaitan dengan nilai Equivalen Water Height ditunjukkan dengan nilai korelasi yang positif di semua zona. Selain itu, nilai sinyal tren yang sangat besar dapat mempengaruhi sinyal musim di Indonesia.

============================================================================================================================
The season is the most visible period. When viewed from its geographical location, the most striking seasonal variation in Indonesia is in rainfall. In line with climate change, rainfall also tends to change, resulting in seasonal changes. Seasonal changes are also called weather changes that result from surface water interactions such as the water cycle. This shows that weather variations are related to changes in water mass on earth.
Gravity Recovery and Climate Experiment (GRACE) satellites and Gravity Recovery and Climate Experiment Follow On (GRACE-FO) are gravity monitoring satellites that are very sensitive to changes in mass, especially signals of redistribution of water masses. Data from this satellite can be used to observe the distribution of water in the form of water mass variation in Equivalent Water Height (EWH). In addition to using GRACE satellite data, this study also uses Tropical Rainfall Measuring Mission (TRMM) satellite data that can be used to observe rainfall.
The results of this study indicate that the highest EWH value occurred in November 2003 in zone 1 which was 36,471 cm and the lowest EWH value was also in zone 1 in May 2014 which was -27,113 cm. Then the most dominant gravity time series signal in Indonesia from 2002 to 2020 is a trend, which is 45,179% followed by a seasonal signal of 23,501%. The seasonal pattern is related to the Equivalent Water Height value indicated by a positive correlation value in all zones. In addition, the very large value of trend signals can affect seasonal signals in Indonesia.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	GRACE, GRACE-FO, Equivalent Water Height (EWH), TRMM,GRACE, GRACE-FO , Equivalent Water Height (EWH), TRMM
Subjects:	T Technology > TD Environmental technology. Sanitary engineering > TD171.75 Climate change mitigation
Divisions:	Faculty of Civil Engineering and Planning > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Safri Yanti Rahayu
Date Deposited:	20 Aug 2021 08:25
Last Modified:	20 Aug 2021 08:25
URI:	http://repository.its.ac.id/id/eprint/88825

Actions (login required)

View Item