scholarly journals Sea Surface Temperature and Wind Velocity in Batam Waters Its Relation to Indian Ocean Dipole (IOD)

2017 ◽  
Vol 2 (4) ◽  
pp. 255 ◽  
Author(s):  
Muhammad Zainuddin Lubis ◽  
Wenang Anurogo ◽  
Husnul Kausarian ◽  
Ganda Surya ◽  
Tiggi Choanji
Keyword(s):  
Wind Speed ◽  
Indian Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Wind Velocity ◽  
Indian Ocean Dipole ◽  
Visual Analysis ◽  
Monsoon Season ◽  
Sea Surface ◽  
A Value

This study aimed to observe the characteristics of sea surface temperature (SST) and wind velocity and its relation with the Indian Ocean Dipole (IOD) in the waters of Batam. The data used in this study were the SST datasets and the wind speed of 2016 in the waters of Batam. The method used in this research were the visual analysis using the data ocean view (ODV) to observe at the spatial and temporal distribution of the SST and the wind speed in Batam waters at different seasons. The next method is a fast Fourier transform (FFT). The earlier monsoon season that occurred in April has the highest wind speed with the value of 3.9 MS ** - 1 for components U. As for the V, the component has the highest value of -3.6 MS ** - 1. The SST Batam observed high in April occurred on 19-04-2016 with a value of 304.2 ° K (31.05 ° C). West monsoon winds that occurred in January has the highest wind speed with a value of 4.5 MS ** - 1 for components U. As for the V, the component has the highest value of 5.2 MS ** - 1 in the waters of Batam. The highest SST in Batam was  occurred in January on 19-01-2016 with a value of 302.8 ° K (29.65 ° C). Based on the results of the FFT, wind speed and SST in the waters of the Island has a dominant 6-month period (semiannual).

scholarly journals Effects of El-Niño, Indian Ocean Dipole and Madden-Julian Oscillation on Sea Surface Temperature and Rainfall Anomalies in Southeast Asia. Case Study: Biomass Burning Episode of 2015

2018 ◽  
Author(s):  
Amirul Islam ◽  
Andy Chan ◽  
Matthew Ashfold ◽  
Chel Gee Ooi ◽  
Majid Azari
Keyword(s):  
Indian Ocean ◽  
Southeast Asia ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Biomass Burning ◽  
Indian Ocean Dipole ◽  
Weather Prediction ◽  
Sea Surface ◽  
Madden Julian Oscillation ◽  
Rainfall Anomalies

Maritime Continent (MC) positions in between Asian and Australian summer monsoons zone. Its complex topography and shallow seas around it is a major challenge for the climate researchers to model and understand it. Monsoon in this area is affected by inter-scale ocean-atmospheric interactions like El-Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and Madden-Julian Oscillation. Monsoon rainfall in MC (especially in Indonesia and Malaysia) profoundly exhibits its variability dependency on ocean-atmospheric phenomena in this region. This monsoon shift often introduces to dreadful events like biomass burning (BB) in Southeast Asia (SEA) which sometimes leads to severe trans-boundary haze pollution. In this study, the episode of BB in 2015 of SEA is highlighted and discussed. Observational satellite datasets are tested by performing simulations with numerical weather prediction (NWP) model using WRF-ARW (Advanced research WRF). Observed and model datasets are compared to study the sea surface temperature (SST) and precipitation (rainfall) anomalies influenced by ENSO, IOD and MJO. Correlations have been recognised which explains the delayed rainfall of regular monsoon in MC due to the influence of ENSO, IOD and MJO during 2015 BB episode, eventually leading to intensification of fire and severe haze.

scholarly journals A Comparative Assessment of Surface Wind Speed and Sea Surface Temperature over the Indian Ocean by TMI, MSMR, and ERA-40

2007 ◽  
Vol 24 (6) ◽  
pp. 1131-1142 ◽  
Author(s):  
Anant Parekh ◽  
Rashmi Sharma ◽  
Abhijit Sarkar
Keyword(s):  
Wind Speed ◽  
Indian Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Microwave Radiometer ◽  
Surface Wind ◽  
Surface Wind Speed ◽  
Sea Surface ◽  
Wind Speeds ◽  
Low Wind Speeds

A 2-yr (June 1999–June 2001) observation of ocean surface wind speed (SWS) and sea surface temperature (SST) derived from microwave radiometer measurements made by a multifrequency scanning microwave radiometer (MSMR) and the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is compared with direct measurements by Indian Ocean buoys. Also, for the first time SWS and SST values of the same period obtained from 40-yr ECMWF Re-Analysis (ERA-40) have been evaluated with these buoy observations. The SWS and SST are shown to have standard deviations of 1.77 m s−1 and 0.60 K for TMI, 2.30 m s−1 and 2.0 K for MSMR, and 2.59 m s−1 and 0.68 K for ERA-40, respectively. Despite the fact that MSMR has a lower-frequency channel, larger values of bias and standard deviation (STD) are found compared to those of TMI. The performance of SST retrieval during the daytime is found to be better than that at nighttime. The analysis carried out for different seasons has raised an important question as to why one spaceborne instrument (TMI) yields retrievals with similar biases during both pre- and postmonsoon periods and the other (MSMR) yields drastically different results. The large bias at low wind speeds is believed to be due to the poorer sensitivity of microwave emissivity variations at low wind speeds. The extreme SWS case study (cyclonic condition) showed that satellite-retrieved SWS captured the trend and absolute magnitudes as reflected by in situ observations, while the model (ERA-40) failed to do so. This result has direct implications on the real-time application of satellite winds in monitoring extreme weather events.

scholarly journals ANALYZING THE EFFECT OF INDIAN OCEAN DIPOLE PHENOMENON TO THE ANOMALIES DISTRIBUTION OF SEA SURFACE TEMPERATURE IN WEST SUMATERA

2020 ◽  
Vol 3 (3) ◽  
pp. 260-270
Author(s):  
Nabila Afifah Azuga ◽  
Musrifin Galib ◽  
Elizal
Keyword(s):  
Indian Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Indian Ocean Dipole ◽  
Rainfall Intensity ◽  
Sea Surface ◽  
Dipole Mode ◽  
The West ◽  
Sst Anomaly ◽  
Data Processing Methods

The waters of West Sumatera that face directly into Indian Ocean is strongly influenced by Indian Ocean Dipole (IOD) phenomenon which caused an anomaly of sea surface temperature (SST) and affect rainfall intensity in the West Sumatera Province. This research was aimed to know the effect of IOD on the distribution and anomaly of SST and rainfall intensity in West Sumatera. Data processing methods in this research is using statistical and descriptive. The data used in this research are NOAA OI-SST, Dipole Mode Index (DMI), and rainfall data from BKMG. The results showed that IOD positive occured in October 2018 and the IOD negative occured in July 2016. During the positive IOD, SST distribution values were 28 ˚C – 28,8 ˚C and SST anomaly values were ​​-1,2 to -0,4, in the negative phase the distribution of SST values were 29,8 ˚C – 30,35 ˚C and the SST anomaly values were 0,15 to 0,7. The rainfall intensity during positive IOD phase is 157 mm/month and during negative IOD phase is 525 mm/month.

scholarly journals Impact of Climate Change on Sea Surface Temperature and Chlorophyll-a Concentration in South Sukabumi Waters

2021 ◽  
Vol 19 (2) ◽  
pp. 393-398
Author(s):  
Mamat Suhermat ◽  
Muhammad Dimyati ◽  
S. Supriatna ◽  
M. Martono
Keyword(s):  
Climate Change ◽  
Indian Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Indian Ocean Dipole ◽  
Sea Surface ◽  
Linear Regression Method ◽  
Chlorophyll A Concentration ◽  
Impact Of Climate Change

Indonesia territorial waters are very vulnerable to the impacts of climate change. Research about the variations of sea surface temperature and chlorophyll-a concentration in the southern waters of Java has been undertaken by several researchers. However, the research is still in the scope of regional scale south of Java. This research was conducted to determine the impact of climate change on sea surface temperature and chlorophyll-a concentration in Sukabumi waters. The data used consisted of IOD index anomalies, sea surface temperature and monthly chlorophyll-a concentrations from December 2002 to November 2020. Descriptive analysis was used to determine seasonal and inter-annual variability and linear regression method was used to analyze trends in changes in sea surface temperature (SST) and chlorophyll-a concentration. The results showed that the seasonal variation was influenced by the monsoon, while the interannual variation was influenced by the Indian Ocean Dipole. Climate change causes SST and chlorophyll-a concentrations to increase. In the 2003-2020 time period, SPL increased by 0.08 °C and an increase in chlorophyll-a concentration by 0.03 mg/ m3. ABSTRAKPerairan selatan Sukabumi yang berhadapan langsung dengan samudera Hindia sangat rentan terhadap dampak perubahan iklim. Penelitian mengenai variasi suhu permukaan laut dan konsentrasi klorofil-a di perairan selatan Jawa sudah dilakukan oleh beberapa peneliti sebelumnya. Namun penelitian tersebut masih dalam lingkup skala regional selatan Jawa. Penelitian ini dilakukan untuk mengetahui dampak perubahan iklim terhadap suhu permukaan laut dan konsentrasi klorofil-a di Perairan selatan Sukabumi. Data-data yang digunakan terdiri dari indeks IOD, suhu permukaan laut dan konsentrasi klorofil-a bulanan periode Desember 2002 hingga November 2020. Metode yang digunakan dalam penelitian ini adalah analisis deskripsi dan regresi linier. Hasil penelitian menunjukkan bahwa variasi musiman suhu permukaan laut dan konsentrasi klorofil-a di perairan ini dipengaruhi oleh monsun, sedangkan variasi antar tahunan dipengaruhi oleh Indian Ocean Dipole. Perubahan iklim menyebabkan suhu permukaan laut dan konsentrasi klorofil-a mengalami kenaikan. Dalam periode waktu 2003-2020 suhu permukaan laut mengalami kenaikan sebesar 0,08°C dan kenaikan konsentrasi klorofil-a sebesar 0,03 mg/m3.

The net effect of ultraviolet radiation on atmospheric dimethylsulphide over the Southern Indian Ocean

2005 ◽  
Vol 363 (1826) ◽  
pp. 187-189 ◽  
Author(s):  
Dominic R. Kniveton ◽  
Martin C. Todd ◽  
Jean Sciare ◽  
Nikos Mihalopoulos
Keyword(s):  
Wind Speed ◽  
Indian Ocean ◽  
Ultraviolet Radiation ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Photosynthetically Active Radiation ◽  
Inverse Relationship ◽  
Sea Surface ◽  
Southern Indian Ocean ◽  
Active Radiation

Dimethylsulphide (DMS) in the atmosphere may play an important role in the climate system. This study shows an inverse relationship between ultraviolet extremes and atmospheric DMS, independent of changes in wind speed, sea–surface temperature and photosynthetically active radiation, as measured at Amsterdam Island in the Southern Indian Ocean.

scholarly journals North Indian Ocean variability during the Indian Ocean dipole

2008 ◽  
Vol 5 (2) ◽  
pp. 213-253 ◽  
Author(s):  
J. Brown ◽  
C. A. Clayson ◽  
L. Kantha ◽  
T. Rojsiraphisal
Keyword(s):  
Indian Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Indian Ocean Dipole ◽  
Numerical Models ◽  
Circulation Model ◽  
North Indian Ocean ◽  
Sea Surface ◽  
Large Temperature ◽  
The Impact

Abstract. The circulation in the North Indian Ocean (NIO henceforth) is highly seasonally variable. Periodically reversing monsoon winds (southwesterly during summer and northeasterly during winter) give rise to seasonally reversing current systems off the coast of Somalia and India. In addition to this annual monsoon cycle, the NIO circulation varies semiannually because of equatorial currents reversing four times each year. These descriptions are typical, but how does the NIO circulation behave during anomalous years, during an Indian Ocean dipole (IOD) for instance? Unfortunately, in situ observational data are rather sparse and reliance has to be placed on numerical models to understand this variability. In this paper, we estimate the surface current variability from a 12-year hindcast of the NIO for 1993–2004 using a 1/2° resolution circulation model that assimilates both altimetric sea surface height anomalies and sea surface temperature. Presented in this paper is an examination of surface currents in the NIO basin during the IOD. During the non-IOD period of 2000–2004, the typical equatorial circulation of the NIO reverses four times each year and transports water across the basin preventing a large sea surface temperature difference between the western and eastern NIO. Conversely, IOD years are noted for strong easterly and westerly wind outbursts along the equator. The impact of these outbursts on the NIO circulation is to reverse the direction of the currents – when compared to non-IOD years – during the summer for negative IOD events (1996 and 1998) and during the fall for positive IOD events (1994 and 1997). This reversal of current direction leads to large temperature differences between the western and eastern NIO.

The Interdecadal Reverse of the Relationship and Feedback Mechanism between Sea Surface Temperature and Evaporation over the Indian Ocean during Boreal Autumn

2020 ◽  
Vol 33 (23) ◽  
pp. 10205-10219
Author(s):  
Bicheng Huang ◽  
Tao Su ◽  
Yongping Wu ◽  
Guolin Feng
Keyword(s):  
Indian Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Indian Ocean Dipole ◽  
Interaction Mechanism ◽  
Ocean Basin ◽  
Sea Surface ◽  
Indian Ocean Basin Mode ◽  
Low Level ◽  
The Indian Ocean

AbstractThe linkage between sea surface temperature (SST) and evaporation (EVP) plays an important role in air–sea interactions. In this study, the interaction mechanism of SST and EVP during boreal autumn was studied using correlation analysis, composite analysis, the EVP decomposition method, and singular value decomposition. The results showed that the correlation between SST and EVP in the Indian Ocean was reversed from positive to negative in the late 1990s. The significant positive SST–EVP relationship was attributed to the Indian Ocean basin mode forcing upon EVP during 1980–90. The decrease in wind speed–induced EVP and SST warming led to a significant negative SST–EVP relationship during 2005–15. Moreover, the negative SST–EVP correlation occurred when the Indian Ocean dipole (IOD) and subtropical Indian Ocean dipole (SIOD) exhibited inverse phases. The low-level moisture–EVP–SST feedback dominated the negative SST–EVP correlation in the negative IOD and positive SIOD (nIOD–pSIOD) pattern, whereas the wind–EVP–SST feedback played the leading role in the positive IOD and negative SIOD (pIOD–nSIOD) pattern. The EVP anomalies induced by the low-level anomalous anticyclone and cyclone were the main causes of the SST anomalies with inverse phases of the IOD and SIOD. The correlation between the SST and EVP reversal from positive to negative implies that the effect of the atmosphere on the ocean is as important as the external forcing of the ocean on the atmosphere.

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