Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

S Cheng, C Quilodrán-Casas, S Ouala… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …

Modeling harmful algal blooms in a changing climate

DK Ralston, SK Moore - Harmful Algae, 2020 - Elsevier
This review assesses harmful algal bloom (HAB) modeling in the context of climate change,
examining modeling methodologies that are currently being used, approaches for …

The Chesapeake Bay program modeling system: Overview and recommendations for future development

RR Hood, GW Shenk, RL Dixon, SMC Smith… - Ecological …, 2021 - Elsevier
Abstract The Chesapeake Bay is the largest, most productive, and most biologically diverse
estuary in the continental United States providing crucial habitat and natural resources for …

Living with harmful algal blooms in a changing world: strategies for modeling and mitigating their effects in coastal marine ecosystems

CR Anderson, SK Moore, MC Tomlinson, J Silke… - Coastal and marine …, 2015 - Elsevier
Harmful algal blooms (HABs) are extreme biological events with the potential for extensive
negative impacts to fisheries, coastal ecosystems, public health, and coastal economies. In …

Current and future remote sensing of harmful algal blooms in the Chesapeake Bay to support the shellfish industry

JL Wolny, MC Tomlinson, S Schollaert Uz… - Frontiers in Marine …, 2020 - frontiersin.org
Harmful algal bloom (HAB) species in the Chesapeake Bay can negatively impact fish,
shellfish, and human health via the production of toxins and the degradation of water quality …

Advancing lake and reservoir water quality management with near-term, iterative ecological forecasting

CC Carey, WM Woelmer, ME Lofton, RJ Figueiredo… - Inland Waters, 2022 - Taylor & Francis
Near-term, iterative ecological forecasts with quantified uncertainty have great potential for
improving lake and reservoir management. For example, if managers received a forecast …

Advancing marine biogeochemical and ecosystem reanalyses and forecasts as tools for monitoring and managing ecosystem health

K Fennel, M Gehlen, P Brasseur, CW Brown… - Frontiers in Marine …, 2019 - frontiersin.org
Ocean ecosystems are subject to a multitude of stressors, including changes in ocean
physics and biogeochemistry, and direct anthropogenic influences. Implementation of …

Chesapeake Bay nitrogen fluxes derived from a land‐estuarine ocean biogeochemical modeling system: Model description, evaluation, and nitrogen budgets

Y Feng, MAM Friedrichs, J Wilkin, H Tian… - Journal of …, 2015 - Wiley Online Library
Abstract The Chesapeake Bay plays an important role in transforming riverine nutrients
before they are exported to the adjacent continental shelf. Although the mean nitrogen …

Jellyfish, forage fish, and the world's major fisheries

KL Robinson, JJ Ruzicka, MB Decker, RD Brodeur… - Oceanography, 2014 - JSTOR
ABSTRACT A majority of the world's largest net-based fisheries target planktivorous forage
fish that serve as a critical trophic link between the plankton and upper-level consumers …

[PDF][PDF] 区域生态安全格局规划研究进展及规划技术流程探讨

欧定华, 夏建国, 张莉, 赵智 - 生态环境学报, 2015 - jeesci.com
区域生态安全格局规划是化解生态保护与经济发展之间矛盾冲突的有效途径,
进行区域生态安全格局规划研究具有重要理论和现实意义. 但是, 目前尚缺少对区域生态安全 …