Validation of Sea Surface Temperature from GCOM-C Satellite Using iQuam Datasets and MUR-SST in Indonesian Waters

Sukresno, Bambang; Jatisworo, Dinarika; Hanintyo, Rizki

doi:10.22146/ijg.53790

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Measurement data are obtained from ships, drifters, ARGO floats, and tropical mooring data. The data are been processed with strict quality control so that the in situ data obtained are reliable (Sukresno, Jatisworo and Hanintyo, 2021), as presented in Fig. 1.…”

Section: Iquammentioning

confidence: 99%

“…They were generated from a wide variety of data by the PO.DAAC as remote sensing SST validation is very important to determine the precision of SSTs in recognizing SST fluctuations in global warming and climate prediction (Hausfather et al, 2017). The accuracy of SSTs from remote sensing data is one of the essential factors in climate and marine analysis (Sukresno, Jatisworo and Hanintyo, 2021). Validating daily remote sensing data with in situ data is required to bring high-quality remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

“…In general, remote sensing SST validation is performed with data in situ measurements from buoys (Castro, Wick and Steele, 2016a;Hao et al, 2017;Reddy et al, 2018). Several studies on remote sensing SST data validation in Indonesia have been conducted (Irawan et al, 2004;Sukresno et al, 2018;Sukresno, Jatisworo and Hanintyo, 2021). However, due to Indonesian waters and limited buoy observation data, SST validation within the Indonesian seas is challenging.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accuracy Performance of Satellite-Derived Sea Surface Temperature Products for the Indonesian Seas

TRESNAWATI¹,

WIRASATRIYA²,

WIBOWO³

2022

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The precision of sea surface temperature (SST) from remote sensing data is essential to recognize SST fluctuations prompted by extreme weather conditions due to global climate warming, such as tropical cyclones (TCs). Since 1981 the active remote sensing of satellite-based SST measurements has been around and proliferating to date in Indonesia. However, there has not been much research on the validation of several remote sensing datasets in Indonesia's seas that has limited coverage of buoy observations. Moreover, no studies correspond to which data are the most precise in describing SST fluctuations in tropical storms. In this study, six remote sensing/satellite (Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA), Regional Australian Multi-Sensor SST Analysis (RAMSSA), Global Australian Multi-Sensor SST Analysis (GAMSA), Microwave Infrared Optimally Interpolated (MWIROI), Multi-scale Ultra-high Resolution (MUR), and K10) data are validated and compared to analyze SST fluctuations in TC as a case study. The validation method uses the Haversine distance formula to reach the highest quality iQuam data with satellite data. The comparison analysis is performed by plotting the SST and wind slop in a TC area. Based on the validation, The OSTIA, RAMSSA, GAMSSA, and MWIROI datasets ranked in the top 4 of the smallest RMSEs with values < 0.5. Moreover, in the SST and wind slop in a TC area, TC affects SST cooling as detected in the MUR and K10 datasets where there is a decrease of > 2 ºC. In the MWIROI, the decline is more noticeable significant > 3 ºC.

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Section: Iquammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Accuracy Performance of Satellite-Derived Sea Surface Temperature Products for the Indonesian Seas

TRESNAWATI¹,

WIRASATRIYA²,

WIBOWO³

2022

View full text Add to dashboard Cite

show abstract

“…Despite being a sea transportation route, the Singapore Strait waters are used by traditional fishermen as a fishing area (Corpus, 2014). Meanwhile, knowledge about sea surface temperature (SST) distribution in waters is vital, including in fisheries and environmental management Sukresno et al, 2021;Ciani et al, 2020). SST was a significant factor for fish migration in the fisheries industries, where fish colonies migrate from cold to warmer seas (Kiyofuji et al, 2019;Kristensen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Sea Surface Temperature (SST) and Rainfall Trends in the Singapore Strait from 2002 to 2019

Mubarak

Rifardi²,

Nurhuda³

et al. 2022

IJG

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Studying Singapore Strait waters condition as a form of maritime mitigation is necessary because it is an international shipping lane. The dominant weather changes include rainfall, wind flows, and sea surface temperature (SST). This study aims to reveal the relationship between rainfall and SST activity in the Singapore Strait for over 18 years, from 2002 to 2019. The results showed a negative correlation, where the SST decreases as rainfall increases and vice versa. In addition, the high rainfall and low SST distribution occur in the Western season (December–February). The low rainfall intensity and high (warm) SST distribution occur yearly in the transition from West to East (March–August). Also, the distribution pattern is influenced by rainfall intensity and the water mass from the South China Sea and the Malacca Strait, where the strait is a mixture of these masses. The neural network model confirmed the negative correlation. Hence a small change in SST causes rainfall if it is cooler, and less precipitation if warmer.

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Evaluation of particulate organic carbon from MODIS-Aqua in a marine-coastal water body

De Jesús Morales-Acuña,

Aguíñiga-García,

Cervantes-Duarte

et al. 2024

Environ Sci Pollut Res

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La Paz Bay (LPB) in Mexico is one of the largest marine-coastal bodies of water in the Gulf of California (GC) and is ecologically important for the feeding, reproduction, and refuge of marine species. Although Particulate Organic Carbon (POC) is an important reservoir of oceanic carbon and an indicator of productivity in the euphotic zone, studies in this region are scarce. This study evaluates the performance of satellite-derived POC in LPB from January 2003 to December 2020. Data from POC and Chlorophyll-a (Chla-a) from MODIS-Aqua and sea surface temperature (SST) from MUR were used. Initially, a match-up analysis was applied to compare the satellite products with in situmeasurements obtained from a sediment trap installed in Alfonso Basin, Mexico. Subsequently, spatial and seasonal variability patterns of POC were analyzed using Empirical Orthogonal Functions (EOFs), power spectral density (PSD), geospatial correlations of each pair of variables, the POC:Chla-a ratio, and multivariate techniques. The results of the matchmaking analysis between in situ and satellite series show that the satellite estimates consistently represent the variability and mean values measured in situ. The distribution of POC characterizes two seasons with their respective transition periods and ve subregions where POC exhibits its maximum variability. Two of these subregions coincide with the reported locations of winter and summer eddies in BP, while the remaining three correspond to the coastal zone and the two regions where LPB interacts with the GC. Associations, variability nodes, and multiple linear regression analysis suggest that POC uctuations in LPB are mainly driven by biological processes and, to some extent, by seasonal SST and wind intensity. Finally, based on the concentrations obtained in this study, this area can be considered as a reservoir of POC for the marine and atmospheric regions of northwest Mexico.

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Validation of Sea Surface Temperature from GCOM-C Satellite Using iQuam Datasets and MUR-SST in Indonesian Waters

Cited by 4 publications

References 15 publications

Accuracy Performance of Satellite-Derived Sea Surface Temperature Products for the Indonesian Seas

Accuracy Performance of Satellite-Derived Sea Surface Temperature Products for the Indonesian Seas

Sea Surface Temperature (SST) and Rainfall Trends in the Singapore Strait from 2002 to 2019

Evaluation of particulate organic carbon from MODIS-Aqua in a marine-coastal water body

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