Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California

Robles-Tamayo, Carlos Manuel; Valdez-Holguín, José Eduardo; García‐Morales, Ricardo; Figueroa-Preciado, Gudelia; Herrera-Cervantes, Hugo; López‐Martínez, Juana; Enríquez‐Ocaña, Luis Fernando

doi:10.3390/rs10091434

Cited by 22 publications

(23 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous studies have focused on investigations of the warm pool variabilities on multiple time scales and the related atmospheric and oceanic processes [13][14][15][16][17][18]. For instance, surface heat flux, SST, 20 • C isotherm depth, upper ocean heat content, sea surface salinity, warm pool centroids and edges and many other properties of the warm pool were constantly studied [3,4,[19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Interannual Variability of the Indo-Pacific Warm Pool and its Associated Climate Factors Based on Remote Sensing

et al. 2020

View full text Add to dashboard Cite

With satellite observed Sea Surface Temperature (SST) accumulated for multiple decades, multi-time scale variabilities of the Indo-Pacific Warm Pool are examined and contrasted in this study by separating it into the Indian Ocean sector and the Pacific Ocean sector. Surface size, zonal center, meridional center, maximum SST and mean SST as the practical warm pool properties are chosen to investigate the warm pool variations for the period 1982–2018. On the seasonal time scale, the oscillation of the Indian Warm Pool is found much more vigorous than the Pacific Warm Pool on size and intensity, yet the interannual variabilities of the Indian Warm Pool and the Pacific Warm Pool are comparable. The Indian Warm Pool has weak interannual variations (3–5 years) and the Pacific Warm Pool has mighty interdecadal variations. The size, zonal movement and mean SST of the Indian Ocean Warm Pool (IW) are more accurate to depict the seasonal variability, and for the Pacific Ocean Warm Pool (PW), the size, zonal and meridional movements and maximum SST are more suitable. On the interannual scale, except for the meridional movements, all the other properties of the same basin have similar interannual variation signals. Following the correlation analysis, it turns out that the Indian Ocean basin-wide index (IOBW) is the most important contributor to the variabilities of both sectors. Lead-lag correlation results show that variation of the Pacific Ocean Warm Pool leads the IOBW and variation of the Indian Ocean Warm Pool is synchronous with the IOBW. This indicates that both sectors of the Indo-Pacific Warm Pool are significantly correlated with basin-wide warming or cooling.

show abstract

Section: Introductionmentioning

confidence: 99%

Seasonal and Interannual Variability of the Indo-Pacific Warm Pool and its Associated Climate Factors Based on Remote Sensing

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In a previous study, Robles-Tamayo et al [36] reported a spatial and temporal variation of the SST along the coast of the GC. Their descriptive analysis of SST series showed that the values decreased from south to north, and the amplitude of the warm period decreased from south to north (the cold period increased from south to north).…”

Section: Introductionmentioning

confidence: 93%

“…Therefore, for the development of the environmental and oceanographic analyses in the mainland continental coast of the GC, the cluster analysis obtained by Robles-Tamayo et al [36] was used where four regions were determined with similar environmental characteristics based on the monthly SST data. Once the four regions were determined, the data analysis was performed through an analysis graph of the monthly and annual Chl a variability with time series and annual cycle plots, respectively.…”

Section: Processing Chlorophyll a Datamentioning

confidence: 99%

Chlorophyll a Concentration Distribution on the Mainland Coast of the Gulf of California, Mexico

et al. 2020

Self Cite

View full text Add to dashboard Cite

Coastal zones are important areas for the development of diverse ecosystems. The analysis of chlorophyll a (Chl a), as an indicator of primary production in these regions, is crucial for the quantification of phytoplankton biomass, which is considered the main food chain base in the oceans and an indicator of the trophic state index. This variable is greatly important for the analysis of the oceanographic variability, and it is crucial for determining the tendencies of change in these areas with the objective of determining the effects on the ecosystem and the population dynamics of marine resources. In this study, we analysed the Chl a concentration distribution on the mainland coast of the Gulf of California based on the monthly data from July 2002 to July 2019, obtained from remote sensing (Moderate-Resolution Imaging Spectroradiometer Aqua (MODIS-Aqua) with a 9 km resolution). The results showed a clear distribution pattern of Chl a observed along this area with the maximum levels in March and minimum levels in August. A four-region characterisation on this area was used to make a comparison of the Chl a concentrations during warm and cold periods. The majority of the results were statistically significant. The spectral analysis in each of the four regions analysed in this study determined the following variation frequencies: annual, semi-annual, seasonal, and inter-annual; the last was related to the macroscale climatological phenomena El Niño-La Niña affecting the variability of the Chl a concentration in the study region.

show abstract

“…Previous use of satellite SST to monitor the coastal ocean have been carried out in different regions worldwide, e.g., the English Channel [21], Canada [22], Caribbean Sea [23], Argentina [24], South Africa [18], China [7], Western Australia [25][26][27][28], the Mediterranean Sea [29,30], and the Gulf of California [31]. The aforementioned studies used several satellite SST products including Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua [22][23][24]26,30,31], MODIS Terra [18,22,23,26,30] and Advanced Very High Resolution Radiometer (AVHRR) [7,18,21,[25][26][27][28][29]31]. Some studies performed in the coastal zones are close to places of anthropogenic infrastructures such as aquaculture [22] or nuclear power stations [7].…”

Section: Introductionmentioning

confidence: 99%

“…Data acquisition and data processing of coastal satellite SST measurements are also prone to various error sources, e.g., cloud contamination, atmospheric correction errors, sampling errors, surface emissivity, sea surface roughness, and suspended particulate matter (SPM) [31,32]. This is a result both of the variable natural characteristics of the coastal zone [33] and of the poor network of near-shore coastal ocean instruments [18] when compared to the platforms in the open ocean [34].…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of Autonomous In Situ Temperature Loggers in a Coastal Region of the Eastern Mediterranean Sea for Use in the Validation of Near-Shore Satellite Sea Surface Temperature Measurements

et al. 2020

View full text Add to dashboard Cite

The coastal ocean is one of the most important environments on our planet, home to some of the most bio-diverse and productive ecosystems and providing key input to the livelihood of the majority of human society. It is also a highly dynamic and sensitive environment, particularly susceptible to damage from anthropogenic influences such as pollution and over-exploitation as well as the effects of climate change. These have the added potential to exacerbate other anthropogenic effects and the recent change in sea temperature can be considered as the most pervasive and severe cause of impact in coastal ecosystems worldwide. In addition to open ocean measurements, satellite observations of sea surface temperature (SST) have the potential to provide accurate synoptic coverage of this essential climate variable for the near-shore coastal ocean. However, this potential has not been fully realized, mainly because of a lack of reliable in situ validation data, and the contamination of near-shore measurements by the land. The underwater biotechnological park of Crete (UBPC) has been taking near surface temperature readings autonomously since 2014. Therefore, this study investigated the potential for this infrastructure to be used to validate SST measurements of the near-shore coastal ocean. A comparison between in situ data and Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua and Terra SST data is presented for a four year (2014–2018) in situ time series recorded from the UBPC. For matchups between in situ and satellite SST data, only nighttime in situ extrapolated to the sea surface (SSTskin) data within ±1 h from the satellite’s overpass are selected and averaged. A close correlation between the in situ data and the MODIS SST was found (squared Pearson correlation coefficient-r2 > 0.9689, mean absolute error-Δ < 0.51 both for Aqua and Terra products). Moreover, close correlation was found between the satellite data and their adjacent satellite pixel’s data further from the shore (r2 > 0.9945, Δ < 0.23 for both Aqua and Terra products, daytime and nighttime satellite SST). However, there was also a consistent positive systematic difference in the satellite against satellite mean biases indicating a thermal adjacency effect from the land (e.g., mean bias between daytime Aqua satellite SST from the UBPC cell minus the respective adjacent cell’s data is δ = 0.02). Nevertheless, if improvements are made in the in situ sensors and their calibration and uncertainty evaluation, these initial results indicate that near-shore autonomous coastal underwater temperature arrays, such as the one at UBPC, could in the future provide valuable in situ data for the validation of satellite coastal SST measurements.

show abstract

Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California

Cited by 22 publications

References 38 publications

Seasonal and Interannual Variability of the Indo-Pacific Warm Pool and its Associated Climate Factors Based on Remote Sensing

Seasonal and Interannual Variability of the Indo-Pacific Warm Pool and its Associated Climate Factors Based on Remote Sensing

Chlorophyll a Concentration Distribution on the Mainland Coast of the Gulf of California, Mexico

An Evaluation of Autonomous In Situ Temperature Loggers in a Coastal Region of the Eastern Mediterranean Sea for Use in the Validation of Near-Shore Satellite Sea Surface Temperature Measurements

Contact Info

Product

Resources

About