scholarly journals Simple Statistical Testing on Existing Data of Core 39 KL SO189/2 to Reveal its Correlation Towards Sea Surface Temperature Variation

2020 ◽  
Vol 35 (2) ◽  
Author(s):  
Taufan Wiguna ◽  
Khoiril Anwar Maryunani ◽  
Mirzam Abdurrachman ◽  
Yusuf Surachman Djajadihardja
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Pearson Correlation ◽  
Statistical Testing ◽  
Sea Surface ◽  
Core Sediment ◽  
Sediment Data ◽  
Non Destructive ◽  
Climate Proxies ◽  
Existing Data

Several paleotemperature proxies using marine core sediment data have been developed and well-proven, but they need excellent laboratory handling and destructive tools. Spectrophotometer and Multi-Sensor Core Logger (MSCL) is considered rapid and non-destructive tools compared to other climate proxies. This paper enhances the correlation between existing data of spectrophotometer, MSCL, and sea surface temperature (SST) of the sediment core 39 KL from SO189/2 through a statistical test. The dataset is processed using interpolation, Pearson correlation, and K-means clustering. Pearson correlation reveals a strong correlation between spectrophotometer, MSCL, and SST. K-means clustering points out that SST is shifting from relatively colder to warmer. This study also tries to understand the source of four tephra and one terrigenous layer. It can be concluded that the spectrophotometer and MSCL have a positive correlation to SST variation.

scholarly journals Analisis Korelasi Suhu Muka Laut dan Curah Hujan di Stasiun Meteorologi Maritim Kelas II Kendari Tahun 2005 – 2014

2017 ◽  
Vol 2 ◽  
pp. 192
Author(s):  
Rizka Erwin Lestari ◽  
Ambinari Rachmi Putri ◽  
Imma Redha Nugraheni
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Pearson Correlation ◽  
Lag Time ◽  
Meteorological Station ◽  
Temperature Data ◽  
Sea Surface ◽  
Rainfall Prediction ◽  
Agriculture Sector ◽  
Factors Influencing

<p class="AbstractEnglish"><strong>Abstract:</strong>. Sea surface temperature is one of many factors influencing with the weather pattern in Indonesia. This is caused by evaporation process which in turn is influenced by sea surface temperature then it will form a cloud and trigger to rainfall in the land. Additionally, it needs to be known that rainfall can affect to human activities especially in the agriculture sector. The correlation between rainfall and global sea surface temperature has been researched but the researchers have not taken into consideration yet for local sea surface temperature. Because of that, it needs to research about the correlation between rainfall and local sea surface temperature. In this paper, it uses rainfall data for synoptic observation in Maritime Meteorological Station of Kendari 2005 – 2014 and sea surface temperature data of NOAA. The analyzing used is pearson correlation analyzing to determine correlation coefficient value with lag time 1 month and hypothesis testing. Besides that, the researcher sets groups of domain sample to 8 grids. From the result of data processing, it shows that there is correlation between sea surface temperature and rainfall in Maritime Meteorological Station of Kendari. The strongest correlation happens in grid 6 (120°22’30’’ E - 130°7’30’’ E / 9°52’30’’ S - 5°7’30’’ S) and grid 8 (120°22’30’’ E - 130°7’30’’ E / 4°52’30’’ S - 0°7’30’’ S). Correlation sea surface temperature with a lag time of 1 month shows higher correlation than without lag time. According to this result, rainfall prediction in Maritime Meteorological Station of Kendari can involve sea surface temperature in grid 6 and 8 with a lag time of 1 month.</p><p class="KeywordsEngish"> </p><p class="AbstrakIndonesia"><strong>Abstrak:</strong> Suhu muka laut merupakan salah satu unsur yang berpengaruh terhadap pola cuaca di Indonesia. Hal ini disebabkan karena suhu muka laut berperan penting dalam proses penguapan sehingga mempengaruhi pembentukan awan dan selanjutnya mempengaruhi curah hujan. Pada sisi lain, diketahui bahwa curah hujan berpengaruh terhadap kehidupan manusia seperti contohnya pada sektor pertanian. Hubungan antara curah hujan dengan suhu muka laut global telah banyak diteliti, tetapi untuk suhu muka laut lokal belum banyak diperhitungkan oleh para peneliti. Oleh karena itu, perlu dilakukan kajian tentang hubungan curah hujan dan suhu muka laut disekitar wilayah yang menjadi sampel . Adapun data yang digunakan pada kajian ini adalah data curah hujan Stasiun Meteorologi Maritim Kelas II Kendari tahun 2005 – 2014 dan data suhu muka laut dari NOAA. Analisis yang dilakukan adalah analisis korelasi pearson untuk menentukan nilai koefisien korelasi dengan lag waktu 1 bulan dan uji hipotesis. Selain itu peneliti mengelompokkan wilayah menjadi 8 grid. Dari hasil pengolahan data yang telah dilakukan menunjukkan bahwa terdapat hubungan antara suhu muka laut dan curah hujan di Stasiun Meteorologi Kelas II Kendari. Korelasi terkuat terjadi pada suhu muka laut di wilayah grid 6 (120°22’30’’ BT - 130°7’30’’ BT / 9°52’30’’ LS - 5°7’30’’ LS) dan grid 8 (120°22’30’’ BT - 130°7’30’’ BT / 4°52’30’’ LS - 0°7’30’’ LS). Korelasi suhu muka laut dengan lag 1 bulan menunjukkan nilai yang lebih besar daripada korelasi tanpa lag waktu. Sehingga dalam menentukan curah hujan di wilayah Stasiun Meteorologi Maritim Kelas II Kendari dapat melibatkan unsur suhu muka laut pada grid 6 dan 8 dengan lag waktu 1 bulan.</p>

Holocene sea surface temperature variations recorded in corals from Kikai Island, Japan

2017 ◽  
Vol 51 (4) ◽  
pp. e9-e14 ◽  
Author(s):  
Hiroto Kajita ◽  
Atsuko Yamazaki ◽  
Takaaki Watanabe ◽  
Chung-Che Wu ◽  
Chuan-Chou Shen ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Temperature Variations

PENENTUAN DAERAH POTENSIAL BUDIDAYA RUMPUT LAUT KAPPAPHYCUS ALVAREZII DI PROVINSI NUSA TENGGARA TIMUR

2019 ◽  
Vol 3 ◽  
pp. 929
Author(s):  
Marianus Filipe Logo ◽  
N M. R. R. Cahya Perbani ◽  
Bayu Priyono
Keyword(s):  
Dissolved Oxygen ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Kappaphycus Alvarezii ◽  
Sea Surface

Provinsi Nusa Tenggara Timur (NTT) merupakan penghasil rumput laut kappaphycus alvarezii kedua terbesar di Indonesia berdasarkan data Badan Pusat Statistik (2016). Oleh karena itu diperlukan zonasi daerah potensial budidaya rumput laut kappaphycus alvarezii untuk pengembangan lebih lanjut. Penelitian ini bertujuan untuk menentukan daerah yang potensial untuk budidaya rumput laut kappaphycus alvarezii di Provinsi NTT berdasarkan parameter sea surface temperature (SST), salinitas, kedalaman, arus, dissolved oxygen (DO), nitrat, fosfat, klorofil-a, dan muara sungai. Penentuan kesesuaian lokasi budidaya dilakukan dengan memberikan bobot dan skor bagi setiap parameter untuk budidaya rumput laut kappaphycus alvarezii menggunakan sistem informasi geografis melalui overlay peta tematik setiap parameter. Dari penelitian ini diperoleh bahwa kadar nitrat, arus, kedalaman, dan lokasi muara sungai menjadi parameter penentu utama. Jarak maksimum dari bibir pantai adalah sekitar 10 km. Potensial budidaya rumput laut kappaphycus alvarezii ditemukan di Pulau Flores bagian barat, kepulauan di Kabupaten Flores Timur dan Alor, selatan Pulau Sumba, Pulau Rote, dan Teluk Kupang.

EXTREME VALUES OF SEA SURFACE TEMPERATURE ASSOCIATED WITH LONG-PERIOD PHENOMENA OCCURRED DURING 1960-2015 IN THE COLOMBIAN PACIFIC OCEAN

2017 ◽  
Author(s):  
Diaz Juan Navia ◽  
Diaz Juan Navia ◽  
Bolaños Nancy Villegas ◽  
Bolaños Nancy Villegas ◽  
Igor Malikov ◽  
...  
Keyword(s):  
Time Series ◽  
Pacific Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Extreme Values ◽  
Sea Surface ◽  
Absolute Maximum ◽  
Data Set ◽  
Arctic Oscillation Index ◽  
Colombian Pacific

Sea Surface Temperature Anomalies (SSTA), in four coastal hydrographic stations of Colombian Pacific Ocean, were analyzed. The selected hydrographic stations were: Tumaco (1°48'N-78°45'W), Gorgona island (2°58'N-78°11'W), Solano Bay (6°13'N-77°24'W) and Malpelo island (4°0'N-81°36'W). SSTA time series for 1960-2015 were calculated from monthly Sea Surface Temperature obtained from International Comprehensive Ocean Atmosphere Data Set (ICOADS). SSTA time series, Oceanic Nino Index (ONI), Pacific Decadal Oscillation index (PDO), Arctic Oscillation index (AO) and sunspots number (associated to solar activity), were compared. It was found that the SSTA absolute minimum has occurred in Tumaco (-3.93°C) in March 2009, in Gorgona (-3.71°C) in October 2007, in Solano Bay (-4.23°C) in April 2014 and Malpelo (-4.21°C) in December 2005. The SSTA absolute maximum was observed in Tumaco (3.45°C) in January 2002, in Gorgona (5.01°C) in July 1978, in Solano Bay (5.27°C) in March 1998 and Malpelo (3.64°C) in July 2015. A high correlation between SST and ONI in large part of study period, followed by a good correlation with PDO, was identified. The AO and SSTA have showed an inverse relationship in some periods. Solar Cycle has showed to be a modulator of behavior of SSTA in the selected stations. It was determined that extreme values of SST are related to the analyzed large scale oscillations.

On the relation between atmospheric CO2 and equatorial sea-surface temperature

Tellus B ◽  
1987 ◽  
Vol 39 (1-2) ◽  
pp. 171-183 ◽  
Author(s):  
William P. Elliott ◽  
James K. Angell
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Atmospheric Co2
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