Interannual variability of chlorophyll-a and impact of extreme climatic events in the South Eastern Arabian Sea

Shafeeque, Muhammad; George, Grinson; Akash, S.; Smitha, B. R.; Shah, Phiros; Balchand, A. N.

doi:10.1016/j.rsma.2021.101986

Cited by 8 publications

(3 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The North Arabian Sea (NAS) (latitude 12-28 • N and longitude 56-76 • E), one of the most productive sea regions [27][28][29], was chosen as the study area. The NAS is located between the Horn of Africa (on the Somali Peninsula) and southern Asia (the Arabian Peninsula and Indian Peninsula).…”

Section: Study Areamentioning

confidence: 99%

Application of Synthetic DINCAE–BME Spatiotemporal Interpolation Framework to Reconstruct Chlorophyll–a from Satellite Observations in the Arabian Sea

Yan

Gao

Jiang

et al. 2023

JMSE

View full text Add to dashboard Cite

Chlorophyll−a (Chl−a) concentration is an indicator of phytoplankton pigment, which is associated with the health of marine ecosystems. A commonly used method for the determination of Chl−a is satellite remote sensing. However, due to cloud cover, sun glint and other issues, remote sensing data for Chl−a are always missing in large areas. We reconstructed the Chl−a data from MODIS and VIIRS in the Arabian Sea within the geographical range of 12–28° N and 56–76° E from 2020 to 2021 by combining the Data Interpolating Convolutional Auto−Encoder (DINCAE) and the Bayesian Maximum Entropy (BME) methods, which we named the DINCAE−BME framework. The hold−out validation method was used to assess the DINCAE−BME method’s performance. The root−mean−square−error (RMSE) and the mean−absolute−error (MAE) values for the hold−out cross−validation result obtained by the DINCAE−BME were 1.8824 mg m−3 and 0.4682 mg m−3, respectively; compared with in situ Chl−a data, the RMSE and MAE values for the DINCAE−BME−generated Chl−a product were 0.6196 mg m−3 and 0.3461 mg m−3, respectively. Moreover, DINCAE−BME exhibited better performance than the DINEOF and DINCAE methods. The spatial distribution of the Chl−a product showed that Chl−a values in the coastal region were the highest and the Chl−a values in the deep−sea regions were stable, while the Chl−a values in February and March were higher than in other months. Lastly, this study demonstrated the feasibility of combining the BME method and DINCAE.

show abstract

Section: Study Areamentioning

confidence: 99%

Application of Synthetic DINCAE–BME Spatiotemporal Interpolation Framework to Reconstruct Chlorophyll–a from Satellite Observations in the Arabian Sea

Yan

Gao

Jiang

et al. 2023

JMSE

View full text Add to dashboard Cite

show abstract

“…Because of this, the concentration of Chl-a has been used as a proxy for eutrophication and trophic status [ 22 , 23 ]. Several studies have also examined the relationship between climate and the phenological cycle variations of phytoplankton [ 16 , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] ].…”

Section: Introductionmentioning

confidence: 99%

“…Extensive research conducted within the Indonesian waters has consistently highlighted the significant impacts of ENSO and IOD phenomena on phytoplankton blooms, leading to substantial fluctuations in Chl-a concentrations during El Niño/positive IOD and La Niña/negative IOD episodes [ 9 , [28] , [29] , [30] , [31] , [32] , [33] ]. Consequently, comprehending the intricate effects of ENSO and IOD on Chl-a concentration variability in Sumatera and Java has become a paramount research priority, essential for delineating the trophic dynamics of their estuarine ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Relationship between chlorophyll-a, rainfall, and climate phenomena in tropical archipelagic estuarine waters

Sudradjat,

Muntalif,

Marasabessy

et al. 2024

Heliyon

View full text Add to dashboard Cite

Decadal climate variability of chlorophyll-a in response to different oceanic factors in the Western Indian ocean: the sea of oman

Chinta,

Kalhoro,

Liang

et al. 2024

Clim Dyn

View full text Add to dashboard Cite

Interannual variability of chlorophyll-a and impact of extreme climatic events in the South Eastern Arabian Sea

Cited by 8 publications

References 56 publications

Application of Synthetic DINCAE–BME Spatiotemporal Interpolation Framework to Reconstruct Chlorophyll–a from Satellite Observations in the Arabian Sea

Application of Synthetic DINCAE–BME Spatiotemporal Interpolation Framework to Reconstruct Chlorophyll–a from Satellite Observations in the Arabian Sea

Relationship between chlorophyll-a, rainfall, and climate phenomena in tropical archipelagic estuarine waters

Decadal climate variability of chlorophyll-a in response to different oceanic factors in the Western Indian ocean: the sea of oman

Contact Info

Product

Resources

About