Characterization of surface currents from subsequent satellite images of organic slicks on the sea surface

2019 ◽  
Author(s):  
Olga A. Danilicheva ◽  
Stanislav A. Ermakov ◽  
Ivan A. Kapustin ◽  
Olga Y. Lavrova
Keyword(s):  
Satellite Images ◽  
Sea Surface ◽  
Surface Currents

scholarly journals Honing in on bioluminescent milky seas from space

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Steven D. Miller ◽  
Steven H. D. Haddock ◽  
William C. Straka ◽  
Curtis J. Seaman ◽  
Cynthia L. Combs ◽  
...  
Keyword(s):  
Scientific Inquiry ◽  
Water Mass ◽  
Marine Ecosystem ◽  
Sea Surface ◽  
Surface Currents ◽  
Maritime Continent ◽  
Low Light ◽  
Composition Formation ◽  
Mass Isolation ◽  
New Generation

AbstractMilky seas are a rare form of marine bioluminescence where the nocturnal ocean surface produces a widespread, uniform and steady whitish glow. Mariners have compared their appearance to a daylit snowfield that extends to all horizons. Encountered most often in remote waters of the northwest Indian Ocean and the Maritime Continent, milky seas have eluded rigorous scientific inquiry, and thus little is known about their composition, formation mechanism, and role within the marine ecosystem. The Day/Night Band (DNB), a new-generation spaceborne low-light imager, holds potential to detect milky seas, but the capability has yet to be demonstrated. Here, we show initial examples of DNB-detected milky seas based on a multi-year (2012–2021) search. The massive bodies of glowing ocean, sometimes exceeding 100,000 km2 in size, persist for days to weeks, drift within doldrums amidst the prevailing sea surface currents, and align with narrow ranges of sea surface temperature and biomass in a way that suggests water mass isolation. These findings show how spaceborne assets can now help guide research vessels toward active milky seas to learn more about them.

Chemical Characterization of Dissolved Organic Compounds from Coastal Sea Surface Microlayers (Baltic Sea, Germany)

2012 ◽  
Vol 46 (19) ◽  
pp. 10455-10462 ◽  
Author(s):  
Manuela van Pinxteren ◽  
Conny Müller ◽  
Yoshiteru Iinuma ◽  
Christian Stolle ◽  
Hartmut Herrmann
Keyword(s):  
Baltic Sea ◽  
Organic Compounds ◽  
Chemical Characterization ◽  
Sea Surface ◽  
Coastal Sea ◽  
Dissolved Organic Compounds

scholarly journals Error Characterization of Sea Surface Salinity Products Using Triple Collocation Analysis

2018 ◽  
Vol 56 (9) ◽  
pp. 5160-5168 ◽  
Author(s):  
Nina Hoareau ◽  
Marcos Portabella ◽  
Wenming Lin ◽  
Joaquim Ballabrera-Poy ◽  
Antonio Turiel
Keyword(s):  
Sea Surface ◽  
Sea Surface Salinity ◽  
Surface Salinity ◽  
Error Characterization

scholarly journals Controls of Caribbean surface hydrology during the mid- to late Holocene: insights from monthly resolved coral records

2013 ◽  
Vol 9 (2) ◽  
pp. 841-858 ◽  
Author(s):  
C. Giry ◽  
T. Felis ◽  
M. Kölling ◽  
W. Wei ◽  
G. Lohmann ◽  
...  
Keyword(s):  
Late Holocene ◽  
Hydrological Cycle ◽  
Summer Precipitation ◽  
Caribbean Sea ◽  
Sea Surface ◽  
Surface Currents ◽  
Surface Hydrology ◽  
Multidecadal Variability ◽  
Southern Caribbean ◽  
The Caribbean

Abstract. Several proxy-based and modeling studies have investigated long-term changes in Caribbean climate during the Holocene, however, very little is known on its variability on short timescales. Here we reconstruct seasonality and interannual to multidecadal variability of sea surface hydrology of the southern Caribbean Sea by applying paired coral Sr/Ca and δ18O measurements on fossil annually banded Diploria strigosa corals from Bonaire. This allows for better understanding of seasonal to multidecadal variability of the Caribbean hydrological cycle during the mid- to late Holocene. The monthly resolved coral Δδ18O records are used as a proxy for the oxygen isotopic composition of seawater (δ18Osw) of the southern Caribbean Sea. Consistent with modern day conditions, annual δ18Osw cycles reconstructed from three modern corals reveal that freshwater budget at the study site is influenced by both net precipitation and advection of tropical freshwater brought by wind-driven surface currents. In contrast, the annual δ18Osw cycle reconstructed from a mid-Holocene coral indicates a sharp peak towards more negative values in summer, suggesting intense summer precipitation at 6 ka BP (before present). In line with this, our model simulations indicate that increased seasonality of the hydrological cycle at 6 ka BP results from enhanced precipitation in summertime. On interannual to multidecadal timescales, the systematic positive correlation observed between reconstructed sea surface temperature and salinity suggests that freshwater discharged from the Orinoco and Amazon rivers and transported into the Caribbean by wind-driven surface currents is a critical component influencing sea surface hydrology on these timescales.

scholarly journals CO2 flux behavior in the maritorium of San Andres Islands on 2019

Respuestas ◽  
2020 ◽  
Vol 25 (3) ◽  
Author(s):  
Juan Guillermo Popayán-Hernández ◽  
Orlando Zúñiga-Escobar
Keyword(s):  
Wind Speed ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Satellite Images ◽  
Co2 Flux ◽  
Sea Surface ◽  
Remote Sensors ◽  
Partial Pressures ◽  
Thermodynamic Relationship ◽  
San Andres

This document estimated the behavior of the CO2 flux in the San Andrés Islas maritime for the first half of 2019. This behavior was established based on the thermodynamic relationship between the sea surface temperature, the partial pressures of CO2 in the atmosphere and the water column, this from data derived from remote sensors. The satellite data were derived from the MODIS aqua sensors and the MERRA model for sea surface temperature and wind speed respectively. Satellite images were obtained from NASA databases, subsequently processed and specialized in ArcGis 10.1. Finally, the behavior of the CO2 flux is shown for the San Andrés Islas maritime, finding that it does not have a tendency to capture CO2, so acidification processes are discarded for the selected study period.

scholarly journals Uso de Técnicas de Geoprocessamento para Estudo da Erosão Hídrica Laminar em Bacia Hidrográfica do Sudoeste do Paraná.

2020 ◽  
Vol 13 (3) ◽  
pp. 1117
Author(s):  
Julio Caetano Tomazoni ◽  
Ana Paula Vansan
Keyword(s):  
Soil Erosion ◽  
Soil Conservation ◽  
Soil Loss ◽  
Satellite Images ◽  
Water Erosion ◽  
Soil Samples ◽  
Universal Equation ◽  
Erosion Rates ◽  
Loss Estimate

Este trabalho tem como objetivo avaliar a erosão hídrica laminar do solo, por meio da Equação Universal de Perdas de Solos Revisada (RUSLE) na bacia hidrográfica do rio São José, localizada no município de Francisco Beltrão (PR).  A perda de solo média anual (A) foi determinada através da RUSLE para os anos 2000, 2005, 2009, 2015 e 2017 utilizando-se técnicas de geoprocessamento com o auxílio do software ArcGis 10.0. O fator erosividade da chuva (R) foi determinado utilizando-se dados pluviométricos correspondentes ao período de 1974 a 2016. O fator erodibilidade do solo (K) foi obtido através da análise de amostras de solo coletadas in loco. O fator topográfico (LS) foi estimado por meio dos dados altimétricos e hidrográficos da bacia. Os fatores de uso e manejo do solo (C) e de práticas conservacionistas do solo (P) foram determinados por meio da caracterização multitemporal do uso e ocupação do solo, através de imagens de satélite. O potencial natural de erosão (PNE) foi determinado pela multiplicação dos fatores R, K e LS.A estimativa de perda de solo (A) foi determinada pela multiplicação do PNE pelos fatores C e P.  Use of Geoprocessing Techniques to Study Laminar Water Erosion in Watershed of Southwest Paraná A B S T R A C TThe objective of this work is evaluate the soil erosion by the Universal Equation of Soil Losses Revised (RUSLE) in the São José river basin, located in the municipality of Francisco Beltrão (PR). The average annual soil loss (A) was determined through RUSLE for the years 2000, 2005, 2009, 2015 and 2017 using geoprocessing techniques with ArcGis 10.0 software. Rainfallerosivity (R) was determined using rainfall data from 1974 to 2016, being determined at 11521.26 11521,26 MJ.mm.ha-1.h-1.year-1. The soil erodibility factor (K) was obtained through the analysis of soil samples collected on the spot (0,03018 t.ha.h/ha.MJ.mm, 0,02771 t.ha.h/ha.MJ.mm e 0,02342 t.ha.h/ha.MJ.mm). The topographic factor (LS) was estimated by the altimetric and hydrographic data of the basin. Soil use and management (C) and soil conservation (P) were determined through multitemporal characterization of land use and occupation, using satellite images. The natural erosion potential (NEP) was determined by multiplying the R, K and LS factors, with more than half of the total area of the watershed with very strong PNE. The soil loss estimate (A) was determined by multiplying the NEP by factors C and P with predominance of the class called low (0 to 10 t/ha/year) denoting the reduction of erosion rates through factors C and P, helping to protect the soil from the erosion process.Key words: Soil Erosion; Watershed, Revised Universal Soil Loss Equation, Geoprocessing, Software.

scholarly journals An operational implementation of the GHER model for the Black Sea, with SST and CTD data assimilation

2009 ◽  
Vol 6 (2) ◽  
pp. 1895-1911 ◽  
Author(s):  
L. Vandenbulcke ◽  
A. Capet ◽  
J. M. Beckers ◽  
M. Grégoire ◽  
S. Besiktepe
Keyword(s):  
Black Sea ◽  
Initial Conditions ◽  
Sea Surface ◽  
The Black Sea ◽  
Marmara Sea ◽  
Reduced Rank ◽  
Data Transfers ◽  
Time Required ◽  
Assimilation Scheme

Abstract. In this article, we describe the first operational implementation of the GHER hydrodynamic model. This happened onboard the research vessel "Alliance", in the context of the Turkish Straits System 2008 campaign, which aimed at the real-time characterization of the Marmara Sea and (south-western) Black Sea. The model performed badly at first, mainly because of poor initial conditions. Hence, as the model includes a reduced-rank extended Kalman filter assimilation scheme, after a hindcast where sea surface temperature and temperature and salinity profiles were assimilated, the model yielded realistic forecasts. Furthermore, the time required to run a one-day simulation (about 5 min of simulation, or 10 min with pre-processing and data transfers included) is very limited and thus operational use of the model is possible.

scholarly journals Characterization of a resilient seagrass meadow during a decline period

2018 ◽  
Vol 82 (1) ◽  
pp. 67 ◽  
Author(s):  
Bárbara Ondiviela ◽  
Lina Fernández ◽  
Araceli Puente ◽  
Gerardo García-Castrillo ◽  
José A. Juanes
Keyword(s):  
Seagrass Meadow ◽  
Large Population ◽  
Sea Surface ◽  
Biological Traits ◽  
Benthic Assemblages ◽  
Biomass Density ◽  
Zostera Noltei ◽  
Poor Understanding ◽  
Freshwater Influence

Seagrasses are globally threatened ecosystems with essential ecological roles. An important limitation in seagrass conservation efforts is the poor understanding of resilient meadows. The present work studies a meadow, which maintained a large population of Zostera marina and Zostera noltei, during the decline of seagrasses in the Bay of Santander (from 1984 to 2000). The work examines resilience parameters related to the biological traits (biomass, density, length and width of the leaves) and to the associated benthic assemblages. The maturity of the meadow and the changing environmental conditions induced by the torrential regime of the Miera River, have likely improved the resistance to the periods of stress. The adaptation to these fluctuating conditions is reflected in a high seasonal and spatial variability in the biomass, density, morphological traits and benthic assemblages. These variations are related to the summer peaks in the PAR, the sea surface temperature and the freshwater influence along the discharge of the Miera River. This work provides the first seagrass data in Cantabria. The data are dated in the early 2000s and constitute a baseline study for the Bay of Biscay.

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