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Plankton Toolbox User’s Guide: for Plankton Toolbox Version 1.3.2/1.3.3.
(Swedish Meteorological and Hydrological Institute, Gothenburg, Sweden, 2020)
Plankton form the base of the food web in most aquatic ecosystems. There is a need to estimate the biomass, abundance and the biodiversity of plankton organisms. Eutrophication, climate change, invasive species and harmful ...
Leveraging Uncertainty Quantification to Design Ocean Climate Observing Systems.
(2021)
Ocean observations are expensive and difficult to collect. Designing effective ocean
observing systems therefore warrants deliberate, quantitative strategies. We leverage adjoint modeling
and Hessian uncertainty ...
An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks.
(2021)
This work presents two new methods to estimate oceanic alkalinity (AT), dissolved
inorganic carbon (CT), pH, and pCO2 from temperature, salinity, oxygen, and
geolocation data. “CANYON-B” is a Bayesian neural network ...
Methodology, Processing, and Application Development in Support of Sustainable Development Goal 14.1: Chlorophyll Global Analysis and Metrices
(2020)
Addressing the global nature of marine pollution needs tools to monitor and measure its extent in the ocean. With Sustainable Development Goal (SDG) 14 target 14.1, the United Nations established a charge for countries to ...
Driven by Drones: Improving Mangrove Extent Maps Using High-Resolution Remote Sensing.
(2020)
This study investigated how different remote sensing techniques can be combined to accurately monitor mangroves. In this paper, we present a framework to use drone imagery to calculate correction factors which can improve ...
A vision for FAIR ocean data products.
(2021)
The ocean is mitigating global warming by absorbing large amounts of excesscarbon dioxide from human activities. To quantify and monitor the ocean carbonsink, we need a state-of-the-art data resource that makes data ...
A benthic substrate classification method for seabed images using deep learning: Application to management of deep-sea coral reefs.
(2023)
Protecting deep-sea coral-based vulnerable marine ecosystems (VMEs) from human impacts, particularly bottom trawling, is a major conservation challenge in world oceans. Management processes for these ecosystems are weakened ...
A methodology to uncertainty quantification of essential ocean variables.
(2022)
The goal of this study is to provide a universally applicable procedure for a
systematic evaluation of in situ measured data from single sensors regarding
quantifying the uncertainty of the measurement results. As ...
Quantifying 210Po/210Pb Disequilibrium in Seawater: A Comparison of Two Precipitation Methods With Differing Results.
(2021)
The disequilibrium between lead-210 (210Pb) and polonium-210 (210Po) is increasingly
used in oceanography to quantify particulate organic carbon (POC) export from the
upper ocean. This proxy is based on the deficits of ...
The smoother the better? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea.
(2021)
With a rapidly increasing capacity of electricity generation from wind power, the demand for accurate power production forecasts is growing. To date, most wind power installations have been onshore and thus most studies ...