Third Revision of the Bottom-up Global Surface Seawater Dimethyl Sulphide Climatology (DMS-Rev3) 

Author(s):  
Shrivardhan Hulswar ◽  
George Manville ◽  
Rafel Simo ◽  
Marti Gali ◽  
Thomas G. Bell ◽  
...  

<p>An updated estimation of the bottom-up global surface seawater dimethyl sulphide (DMS) climatology, DMS-Rev3, is the third of its kind and includes five significant changes from the last climatology, ‘L11’ (Lana et al., 2011) that was released about a decade ago. The first change is the inclusion of new observations that have become available over the last decade, i.e., the total number of observations included in DMS- Rev3 are 865,109 as compared to 47,313 data points used in the last estimation (~1728% increase in raw data). The second was significant improvements in data handling, processing, filtering, to avoid bias due to different observation frequencies. Thirdly, we incorporated the dynamic seasonal changes observed in the ocean biogeochemical provinces and their variable geographic boundaries. Fourth change was refinements in the interpolation algorithm used to fill up the missing data. And finally, an upgraded smoothing algorithm based on observed DMS variability length scales (VLS) which helped reproduce a more realistic distribution of the DMS concentration data. The results show that DMS-Rev3 estimates the global annual mean DMS concentration at 2.34 nM, 4% lower than the current bottom-up ‘L11’ climatology. However, significant regional differences of more than 100% are observed. The largest changes are observed in high concentration regions such as the polar oceans, although oceanic regions which were under-sampled in the past also show large differences. DMS-Rev3 reduces the previously observed patchiness in high productivity regions.</p>

2021 ◽  
Author(s):  
Shrivardhan Hulswar ◽  
Rafel Simo ◽  
Martí Galí ◽  
Thomas Bell ◽  
Arancha Lana ◽  
...  

Abstract. This paper presents an updated estimation of the bottom-up global surface seawater dimethyl sulfide (DMS) climatology. This update, called DMS-Rev3, is the third of its kind and includes five significant changes from the last climatology, ‘L11’ (Lana et al., 2011) that was released about a decade ago. The first change is the inclusion of new observations that have become available over the last decade, creating a database of 872,427 observations leading to a ~18-fold increase in raw data as compared to the last estimation The second is significant improvements in data handling, processing, and filtering, to avoid biases due to different observation frequencies which results from different measurement techniques. Thirdly, we incorporate the dynamic seasonal changes observed in the geographic boundaries of the ocean biogeochemical provinces. The fourth change involves the refinement of the interpolation algorithm used to fill in the missing data. And finally, an upgraded smoothing algorithm based on observed DMS variability length scales (VLS) helps to reproduce a more realistic distribution of the DMS concentration data. The results show that DMS-Rev3 estimates the global annual mean DMS concentration to be ~1.87 nM (2.35 nM without a sea-ice mask), i.e., about 4 % lower than the previous bottom-up ‘L11’ climatology. However, significant regional differences of more than 100 % as compared to L11 are observed. The global sea to air flux of DMS is estimated at ~27 TgS yr−1 which is about 4 % lower than L11, although, like the DMS distribution, large regional differences were observed. The largest changes are observed in high concentration regions such as the polar oceans, although oceanic regions that were under-sampled in the past also show large differences between revisions of the climatology. Finally, DMS-Rev3 reduces the previously observed patchiness in high productivity regions.  


Author(s):  
Martin Zurek ◽  
Lars Heinrich

AbstractIn a recent discussion about efficient ways to combine multiple firm characteristics into a multifactor portfolio, a distinction was made between the bottom-up and top-down approach. Both approaches integrate characteristics with equal weights and ignore interaction effects from differences in informational content and correlations between the firm characteristics. The authors complement the bottom-up approach for the missing interaction effects by implementing a linear alpha forecasting framework. Bottom-up versus top-down factor investing is typically discussed using the assumption that all characteristics are equally priced, but the pricing impact of different firm characteristics can vary tremendously. The alpha forecasting perspective provides a theoretical motivation for factor investing and helps to compare the bottom-up and top-down approach with regard to the difference of informational content and interaction effects between firm characteristics. Taking into account the difference in informational content between firm characteristics leads to significant performance improvement in factor models with a high concentration of informational content. Equally weighted characteristics result in related performance irrespective of whether the bottom-up or top-down approach is applied.


2016 ◽  
Vol 21 (2) ◽  
pp. 111 ◽  
Author(s):  
Setyawan Purnama ◽  
Suyono Suyono ◽  
Budi Sulaswono

Opak River Basin is an area with high concentration of settlement. Generally, the settlement use groundwater as a water source. Variation of groundwater condition cause differentiation of water usage in some regions. There are two objectives of this research. First, to determine aquifer system in the research area and second, to calculate the groundwater potential in each aquifer system. To achieve these objectives, aquifer system is determined base on its geology and geomorphology, whereas groundwater potency is calculated by static and dynamic approach. As a result, show that the aquifer system in Opak River Basin can be distinguished into seven aquifer system. There are The Upper Merapi Aquifer System, The Middle Merapi Aquifer System, The Lower Merapi Aquifer System, Baturagung Range Aquifer System, The Aquifer System of Baturagung Range Foot Slope, Sentolo Hill Aquifer System and Sanddune Aquifer System. Among the seventh aquifer system, The Middle Merapi Aquifer System, The Lower Merapi Aquifer System and The Sanddune Aquifer System have high productivity. Sentolo Hill Aquifer System and The Aquifer System of Baturagung Range Foot Slope Aquifer have low productivity, whereas The Baturagung Range is categorized as non akuifer.


Corpora ◽  
2008 ◽  
Vol 3 (1) ◽  
pp. 59-81 ◽  
Author(s):  
Stefan Th. Gries ◽  
Martin Hilpert

In this paper, we introduce a data-driven bottom-up clustering method for the identification of stages in diachronic corpus data that differ from each other quantitatively. Much like regular approaches to hierarchical clustering, it is based on identifying and merging the most cohesive groups of data points, but, unlike regular approaches to clustering, it allows for the merging of temporally adjacent data, thus, in effect, preserving the chronological order. We exemplify the method with two case studies, one on verbal complementation of shall, the other on the development of the perfect in English.


JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 88
Author(s):  
Okol Sri Suharyo ◽  
Nawanto Budi Sukoco ◽  
Johar Setiadi ◽  
Eko Kurniawan

Indonesia is the largest archipelago in the world with a vast ocean area and the richness of the fish. It allows theoccurrence of crime at sea, for example, is a crime of theft of fish and other marine resources. Indonesia in theregard Indonesian Navy confronted with various obstacles, among others, the limitation of the number of patrolboats that are not proportional to the extent of waters that should be on the cover as well as the limitations ofthe available budget for operational activities in the framework of the implementation of law enforcementoperations related crime at sea. With the limitation of that than required effectiveness and efficiency inoperations to crime at sea can still be implemented and the richness of the sea remains awake.The utilization ofremote sensing satellite technology capable of delivering information quickly with a broad scope. This researchuse the MODIS Aqua Image data Level 2 to detect the distributions of chlorophyll-a concentration which is anindicator of the fertility of the waters of an area the area is closely connected with the fisheries through theimplementations process of bottom-up areas with transparent high fertility rate is an area that's prone to fishtheft crime occurred. From the result of the data processing MODIS-Aqua Satellite image pattern time andlocation of the concentration of chlorophyll-a and verified by VMS data indicate that there is a close relationshipwhere a times and areas with a high concentration of chlorophyll observed a lot of fishing activity, so it is used inthis research can be used as supporting data in determining the direction and timing of the operation inparticular operations against crimes the theft of fish, finally the marine security operations could become moreeffective and efficient and success can be further improved.Keywords: Sea area, chlorophyll-a, effective and efficient.


Biologia ◽  
2014 ◽  
Vol 69 (6) ◽  
Author(s):  
Tomasz Lenard ◽  
Wojciech Ejankowski ◽  
Władysława Wojciechowska ◽  
Michał Solis

AbstractThe aim of the study was to evaluate the effects of coniferous forest cover in the catchment basin and relative catchment area (catchment area to lake volume ratio) on phytoplankton composition in humic lakes. The study was carried out in 11 small and shallow lakes situated in the West Polesie region (Eastern Poland). The lakes were divided with respect to forest cover in their catchment basins into two groups: high forest cover — HFC (more than 60%) and low forest cover — LFC (less than 60%). The study showed that both, land use in the catchments (proportion of forests) and the relative catchment area determined physicochemical and biological parameters in the lakes. The high relative catchment area affects their high productivity expressed by high chlorophyll a concentration and low water visibility. The lakes of the LFC group had low water colour as well as high concentration of total phosphorus (Ptot), reaction (pH), and conductivity of water and a large number of cyanophytes and chlorophytes. The dominant species, e.g., Planktolyngbya limnetica, Limnothrix planctonica, Planktothrix agardhii, Coenococcus planctonicus, were characteristic of high trophic status. In the lakes of the HFC group, Ptot, pH, conductivity of water and the contribution of cyanophytes and chlorophytes was considerably lower, whereas the water colour and the number of raphidophytes represented by Gonyostomum semen was high. The large number of raphidophytes and the small amount of chlorophytes and cyanophytes in the lakes of the HFC group indicated the lake naturalness.


2015 ◽  
Author(s):  
Kelsey A. W. Horowitz ◽  
Michael Woodhouse ◽  
Hohyun Lee ◽  
Greg P. Smestad

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Rosie J. Chance ◽  
Liselotte Tinel ◽  
Tomás Sherwen ◽  
Alex R. Baker ◽  
Thomas Bell ◽  
...  

AbstractThe marine iodine cycle has significant impacts on air quality and atmospheric chemistry. Specifically, the reaction of iodide with ozone in the top few micrometres of the surface ocean is an important sink for tropospheric ozone (a pollutant gas) and the dominant source of reactive iodine to the atmosphere. Sea surface iodide parameterisations are now being implemented in air quality models, but these are currently a major source of uncertainty. Relatively little observational data is available to estimate the global surface iodide concentrations, and this data has not hitherto been openly available in a collated, digital form. Here we present all available sea surface (<20 m depth) iodide observations. The dataset includes values digitised from published manuscripts, published and unpublished data supplied directly by the originators, and data obtained from repositories. It contains 1342 data points, and spans latitudes from 70°S to 68°N, representing all major basins. The data may be used to model sea surface iodide concentrations or as a reference for future observations.


2020 ◽  
Vol 7 ◽  
Author(s):  
Laura Weber ◽  
Maickel Armenteros ◽  
Melissa Kido Soule ◽  
Krista Longnecker ◽  
Elizabeth B. Kujawinski ◽  
...  

Coral reef ecosystems are incredibly diverse marine biomes that rely on nutrient cycling by microorganisms to sustain high productivity in generally oligotrophic regions of the ocean. Understanding the composition of extracellular reef metabolites in seawater, the small organic molecules that serve as the currency for microorganisms, may provide insight into benthic-pelagic coupling as well as the complexity of nutrient cycling in coral reef ecosystems. Jardines de la Reina (JR), Cuba is an ideal environment to examine extracellular metabolites across protected and high-quality reefs. Here, we used liquid chromatography mass spectrometry (LC-MS) to quantify specific known metabolites of interest (targeted metabolomics approach) and to survey trends in metabolite feature composition (untargeted metabolomics approach) from surface and reef depth (6 – 14 m) seawater overlying nine forereef sites in JR. We found that untargeted metabolite feature composition was surprisingly similar between reef depth and surface seawater, corresponding with other biogeochemical and physicochemical measurements and suggesting that environmental conditions were largely homogenous across forereefs within JR. Additionally, we quantified 32 of 53 detected metabolites using the targeted approach, including amino acids, nucleosides, vitamins, and other metabolic intermediates. Two of the quantified metabolites, riboflavin and xanthosine, displayed interesting trends by depth. Riboflavin concentrations were higher in reef depth compared to surface seawater, suggesting that riboflavin may be produced by reef organisms at depth and degraded in the surface through photochemical oxidation. Xanthosine concentrations were significantly higher in surface reef seawater. 5′-methylthioadenosine (MTA) concentrations increased significantly within the central region of the archipelago, displaying biogeographic patterns that warrant further investigation. Here we lay the groundwork for future investigations of variations in metabolite composition across reefs, sources and sinks of reef metabolites, and changes in metabolites over environmental, temporal, and reef health gradients.


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