Semi-annual variations of chlorophyll concentration on the Eastern Tropical Pacific coast of Mexico

Domínguez-Hernández, Geraldine; Cepeda-Morales, Jushiro; Soto-Mardones, Luis; Rivera-Caicedo, Juan Pablo; Romero-Rodríguez, Deisy; Inda-Díaz, Emilio A.; Almeida, Oscar Ubisha Hernández; Romero-Bañuelos, Carlos Alberto

doi:10.1016/j.asr.2020.02.019

Cited by 9 publications

(2 citation statements)

References 54 publications

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“…These are the modes or structures containing the highest percentage of the Chl-a variability that enable the assessment of (i) the most contrasting areas of the spatial Chl-a variability, and (ii) the main contrasting months in terms of the temporal annual Chl-a variability in the PB. This approach has been successfully used to interpret the space-time features of Chl-a data [52,53].…”

Section: Data Processing and Statistical Analysismentioning

confidence: 99%

Spatio-Temporal Variability of Chlorophyll-A and Environmental Variables in the Panama Bight

et al. 2020

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The analysis of synoptic satellite data of total chlorophyll-a (Chl-a) and the environmental drivers that influence nutrient and light availability for phytoplankton growth allows us to understand the spatio-temporal variability of phytoplankton biomass. In the Panama Bight Tropical region (PB; 1–9°N, 79–84°W), the spatial distribution of Chl-a is mostly related to the seasonal wind patterns and the intensity of localized upwelling centers. However, the association between the Chl-a and different physical variables and nutrient availability is still not fully assessed. In this study, we evaluate the relationship between the Chl-a and multiple physical (wind, Ekman pumping, geostrophic circulation, mixed layer depth, sea level anomalies, river discharges, sea surface temperature, and photosynthetically available radiation) and chemical (nutrients) drivers in order to explain the spatio-temporal Chl-a variability in the PB. We used satellite data of Chl-a and physical variables, and a re-analysis of a biogeochemical product for nutrients (2002–2016). Our results show that at the regional scale, the Chl-a varies seasonally in response to the wind forcing and sea surface temperature. However, in the coastal areas (mainly Gulf of Panama and off central-southern Colombia), the maximum non-seasonal Chl-a values are found in association with the availability of nutrients by river discharges, localized upwelling centers and the geostrophic circulation field. From this study, we infer that the interplay among these physical-chemical drivers is crucial for supporting the phytoplankton growth and the high biodiversity of the PB region.

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Section: Data Processing and Statistical Analysismentioning

confidence: 99%

Spatio-Temporal Variability of Chlorophyll-A and Environmental Variables in the Panama Bight

et al. 2020

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“…Furthermore, other studies have observed that dry season rainfall events can change the coastal environment. Coastal water chlorophyll concentration, turbidity, temperature, and salinity, due to increased river discharge, can impact the sustainability of coastal ecosystems and their biological production (Domínguez-Hernández et al, 2020;Romero-Rodríguez et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Atmospheric Rivers and the Dry Season Extreme Precipitation in Central-Western Mexico

Díaz

O’Brien

2023

Preprint

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Atmospheric rivers (AR) are long, narrow jets of moisture transport responsible for over 90% of moisture transport from the tropics to higher latitudes, covering only between 2% and 10% of the earth’s surface. ARs have a significant impact on the hydrological cycle of midlatitudes and polar regions, which has resulted in a large effort to study ARs and their impacts on these regions. It is not until recently that ARs in tropical latitudes are starting to generate interest within the scientific AR community.We use the ERA-20C reanalysis and the Bayesian AR detector TECA-BARD to show the relationship between extreme precipitation and atmospheric rivers in central-western Mexico (CWM) during the dry seasons (November-March) in the 1900-2010 period.We find that more than 25% of extreme precipitation amount and frequency are associated with ARs, with a maximum of 60%-80% during December and January near the coast of Sinaloa (107.5W,25N). Composites of the mean meteorological state show “ideal” conditions for orographic precipitation due to landfalling ARs: high horizontal vapor transport perpendicular to the Sierra Madre. We observe a tropospheric wave pattern in vertical velocity, surface pressure, and geopotential height associated with these events. The nature and evolution of these waves need to be further studied. Our results suggest that TECA-BARD provides a reasonable estimation for AR presence in CWM. Nevertheless, we recommend using multiple AR detectors and one tuned explicitly for tropical latitudes. This will allow investigation of the response of CWM landfalling ARs and the region’s hydroclimatology under future climate scenarios.

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A Genetic Algorithm-Optimized Neural Network for Chlorophyll a Estimation Using MODIS Satellite Data in Coastal Water: Application to the Sinpho Bay of DPR Korea

Ri,

2023

J Indian Soc Remote Sens

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Semi-annual variations of chlorophyll concentration on the Eastern Tropical Pacific coast of Mexico

Cited by 9 publications

References 54 publications

Spatio-Temporal Variability of Chlorophyll-A and Environmental Variables in the Panama Bight

Spatio-Temporal Variability of Chlorophyll-A and Environmental Variables in the Panama Bight

Relationship Between Atmospheric Rivers and the Dry Season Extreme Precipitation in Central-Western Mexico

A Genetic Algorithm-Optimized Neural Network for Chlorophyll a Estimation Using MODIS Satellite Data in Coastal Water: Application to the Sinpho Bay of DPR Korea

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