Multi-temporal patterns of upwelling–downwelling dynamics in the South China Sea based on a 47-year time-series of the NOAA-ERD upwelling index

Ndah, Anthony Banyouko; Dagar, Lalit; Bęcek, Kazimierz

doi:10.1016/j.rsma.2017.08.017

Cited by 8 publications

(3 citation statements)

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“…The exchange rate from the subsurface, k D , is approximated from the upwelling index reported off southwest Taiwan. The mean upwelling rate is 78.2 m 3 /s 100 −1 m of coastline (i.e., total coastline is ~1,700 km; Ndah et al, ). With respect to the volume of the subsurface box (i.e., 3.13 × 10 13 m 3 ), the ventilation rate, k D , is equivalent to 1.2 year −1 or, in terms of the mean amount of water exchanged, about ~1.3 Sv.…”

Section: Discussionmentioning

confidence: 99%

Interannual Coral Δ¹⁴C Records of Surface Water Exchange Across the Luzon Strait

et al. 2019

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Section: Discussionmentioning

confidence: 99%

Interannual Coral Δ¹⁴C Records of Surface Water Exchange Across the Luzon Strait

et al. 2019

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“…The mean upwelling rate is 78.2 m 3 s -1 100 -1 m of coastline (i.e. total coastline is ~ 1700 km; Ndah et al, 2017).…”

Section: Box Model Calculationmentioning

confidence: 99%

Coral-based reconstruction of climatic and oceanographic variability across the Luzon Strait for the past ~230 years

Pena¹

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believe that friendships made over two-hour lunches, food trips, Friday-night lehpak sessions, running marathons, exploring new places, welcoming babies and marriages, listening to each other's drama, challenging each other's brains or just by laughing at and with each other, is the best kind of friendship one can ever have. Thank you for the random acts of kindness, the constant support and encouragements when I needed it the most, the criticisms and reality-checks when I go blind in my judgements and the endless comic relief. You all have a place in my heart. To Rovi Velasquez, Apple Jarical, Aurora Molina, and Jillian Gabo, thank you for always being present. To Daphnie Galvez, Zoan Macalalad, Ronald Lloren and Yvainne Sta. Maria, thank you for the constant checks and encouragements even from afar.My deepest gratitude also goes to my family, Daddy, Mommy, Ate Yel, Beck and Kuya Patrick. Thank you for your unfailing love, all-out support, understanding and for always being proud of me. To Ralph, for being my home away from home, I can't thank you enough for always reassuring your confidence in me, for the conscious effort to make me smile and feel loved. Let's keep on dreaming and achieving together.Above all, my praises to our Lord for the grace, love, and strength, for blessing me with this opportunity and surrounding me with these wonderful people. Maraming salamat! 2.4.2. Inter-annual calibrations 2.4.3. SSS variability using Porites δ 18 O 2.4.4. Application of calibration equation and comparison to SOI variability 2.5 Conclusions 2.6 References Chapter 3. Late 19 th century coral record of the Pacific Decadal Oscillation and its possible climatic control on the tropical western Pacific salinity variability 100 Abstract 3.1 Introduction 3.2 Methods 3.2.1. Study site and coral sampling 3.2.2. Coral subsampling 3.2.3. Sr/Ca analysis 3.2.4. δ 18 O analysis 3.2.5. Chronology development 3.2.6. SST and SSS reconstructions 3.2.7. Data analysis 3.3 Results 3.3.1. Sr/Ca-SST reconstruction 3.3.2. Dry and wet season δ 18 Oc-SSS reconstruction 3.4 Discussion 3.4.1. Climatic controls on SST variability 3.4.2. Climatic controls on SSS variability 3.5 Conclusions 3.6 References Chapter 4. Coral-based records of sea surface temperature and salinity variability in the Luzon Strait since the end of the Little Ice Age 138 Abstract 4.1 Introduction 4.2 Methods 4.2.1. Study site and coral sampling 4.2.2. Coral subsampling 4.2.3. Sr/Ca and δ 18 O measurements 4.2.3.1 Dry-season δ 18 O measurements 4.2.4. Instrumental data 4.2.5. Chronology development 4.2.6. Data analysis 4.3 Results 4.3.1 Sr/Ca-SST 4.3.1.1. Monthly calibration 5 4.3.1.2. Inter-annual calibrations 4.3.1.3. Interannual winter SST reconstruction 4.3.1.4. Influences on the observed winter SST variability 4.3.2 δ 18 O-SSS 4.3.2.1. Monthly calibration 4.3.2.2. Inter-annual calibrations 4.3.2.3. Inter-annual dry season SSS reconstruction 4.3.2.4. Influences on the observed dry season SSS variability 4.4 Discussion 4.5 Conclusions 4.6 References Chapter 5. Inter-annu...

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“…Coastal upwelling is an important physical process of the dense, cooler and nutrient-rich water moving upward to displace the warmer and nutrient-depleted surface water (Lehmann and Myrberg, 2008). Therefore, the upwelling usually links to the high biological productivity, powerful economic and major fisheries region (Hein et al, 2013;Ndah et al, 2017).…”

Section: List Of Tablesmentioning

confidence: 99%

Characteristics and mechanisms of coastal upwelling in the gulf of Thailand

Sripoonpan

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The characteristics and mechanisms of coastal upwelling in the Gulf of Thailand was investigated through 2 approaches; 1) Ekman transport upwelling index (UIET) and sea surface temperature upwelling index (UISST), and 2) Hydrodynamics model DELFT3D-FLOW under the influences of tide, spatially varying wind, water temperature, salinity and river discharge. The UIET�indicated favorable upwelling conditions along the west coast of the GoT mostly during northeast monsoon in January and 1st�inter-monsoon in March, while the favorable upwelling condition indicated by UISST�was found along the east coast during southwest monsoon in August and 2nd�inter-monsoon in October. The model�expressed the favorable upwelling conditions along the west coast of the upper gulf and the west coast of Ca Mau Cape during northeast monsoon and southwest monsoon. Besides, the model results shown the upwelling with the obvious cooler coastal water along the west coast of the upper gulf and the central gulf and along the west coast�of Ca Mau Cape during northeast monsoon and southwest monsoon, and with slightly cooler coastal water during 1st�inter-monsoon in March and 2nd�inter-monsoon in October. The coastal upwelling associated with UIET was different from UISST and the model simulation. The UIET indicated the wind-driven coastal upwelling directly connecting with directions of Ekman transport and wind. In contrast, the UISST was estimated using the satellite-observed sea surface temperature. Also, the upwelling found in the model simulation was generated using different forces, e.g., tide, wind, temperature, salinity, river discharge and heat. The tracked coastal upwelling in this study might be vital for fisheries resources managements and conservation, and to complete the knowledge of nutrient distributions in the Gulf of Thailand.�

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Multi-temporal patterns of upwelling–downwelling dynamics in the South China Sea based on a 47-year time-series of the NOAA-ERD upwelling index

Cited by 8 publications

References 52 publications

Interannual Coral Δ¹⁴C Records of Surface Water Exchange Across the Luzon Strait

Interannual Coral Δ¹⁴C Records of Surface Water Exchange Across the Luzon Strait

Coral-based reconstruction of climatic and oceanographic variability across the Luzon Strait for the past ~230 years

Characteristics and mechanisms of coastal upwelling in the gulf of Thailand

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Multi-temporal patterns of upwelling–downwelling dynamics in the South China Sea based on a 47-year time-series of the NOAA-ERD upwelling index

Cited by 8 publications

References 52 publications

Interannual Coral Δ14C Records of Surface Water Exchange Across the Luzon Strait

Interannual Coral Δ14C Records of Surface Water Exchange Across the Luzon Strait

Coral-based reconstruction of climatic and oceanographic variability across the Luzon Strait for the past ~230 years

Characteristics and mechanisms of coastal upwelling in the gulf of Thailand

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Interannual Coral Δ¹⁴C Records of Surface Water Exchange Across the Luzon Strait

Interannual Coral Δ¹⁴C Records of Surface Water Exchange Across the Luzon Strait