Michael Dowd

ORCID: 0000-0003-2805-293X
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About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Marine and coastal ecosystems
  • Marine and fisheries research
  • Arctic and Antarctic ice dynamics
  • Geology and Paleoclimatology Research
  • Marine Biology and Ecology Research
  • Isotope Analysis in Ecology
  • Marine animal studies overview
  • Marine Bivalve and Aquaculture Studies
  • Ocean Acidification Effects and Responses
  • Ocean Waves and Remote Sensing
  • Climate variability and models
  • Spectroscopy and Chemometric Analyses
  • Underwater Acoustics Research
  • Coastal and Marine Dynamics
  • Scientific Measurement and Uncertainty Evaluation
  • Medical Imaging Techniques and Applications
  • Meteorological Phenomena and Simulations
  • Marine and coastal plant biology
  • Methane Hydrates and Related Phenomena
  • Ecosystem dynamics and resilience
  • Fault Detection and Control Systems
  • Animal Vocal Communication and Behavior
  • Insect and Arachnid Ecology and Behavior
  • Sustainability and Ecological Systems Analysis

Dalhousie University
2014-2024

Abstract Deep convection and associated deep water formation are key processes for climate variability, since they impact the oceanic uptake of heat trace gases alter structure strength global overturning circulation. For long, in subpolar North Atlantic was thought to be confined central Labrador Sea western gyre (SPG). However, there is increasing observational evidence that also has occurred eastern SPG south Cape Farewell Irminger Sea, particular, 2015–2018. Here we assess this recent...

10.1029/2021jc017245 article EN Journal of Geophysical Research Oceans 2021-06-04

10.1016/s0304-3800(97)00133-6 article EN Ecological Modelling 1997-12-01

The ocean carbonate system consists of pH, alkalinity, inorganic carbon and the partial pressure dioxide, during current era anthropogenic change, its dynamics are key for understanding changes in ecosystem over time. focus this study is to estimate Labrador Sea with time series methods, using direct observations from surface interior, chemical relationships between variables. Interior minimal some these variables, however, connections variables rooted chemistry were used create...

10.3389/fmars.2024.1500225 article EN cc-by Frontiers in Marine Science 2025-01-30

Abstract This study considers the problem of marine ecological prediction in context online estimation and forecasting. Process oriented dynamic ecosystem models are combined with observations. The nonlinear, nonGaussian state space model provides statistical framework. associated filtering (nowcasting) (forecasting) problems addressed via sequential Monte Carlo methods, this instance a importance resampler Metropolis‐Hastings MCMC. specific focus is on prototypical comprised four...

10.1002/env.780 article EN Environmetrics 2005-12-19

10.1016/s0304-3800(03)00186-8 article EN Ecological Modelling 2003-09-12

Monitoring technologies now provide real-time animal location information, which opens up the possibility of developing forecasting systems to fuse these data with movement models predict future trajectories. State-space modeling approaches are well established for retrospective estimation and behavioral inference through state parameter estimation. Here we use a state-space model within comprehensive assimilative framework probabilistic forecasting. Real-time information is combined...

10.1002/ecy.3718 article EN Ecology 2022-04-11

Northern fur seals ( Callorhinus ursinus ) breeding on the Pribilof Islands, Alaska have declined dramatically over past 40 years. Effective conservation of northern depends understanding foraging behavior adult females whose success is linked to pup survival. We determined for 11 tagged lactating female from Islands using a state‐space modeling approach with an autoregressive movement model. To interpret at‐sea in context oceanic habitat, we spatially and temporally matched high‐resolution...

10.1890/es14-00314.1 article EN cc-by Ecosphere 2015-05-01

The aragonite saturation state (ΩAr) in the subpolar North Atlantic was derived using new regional empirical algorithms. These multiple regression algorithms were developed bin-averaged GLODAPv2 data of commonly observed oceanographic variables (temperature (T), salinity (S), pressure (P), oxygen (O2), nitrate (NO3-), phosphate (PO4-3), silicate (Si(OH)4), and pH). Five these are also frequently autonomous platforms, which means they widely available. validated against independent shipboard...

10.3389/fmars.2017.00385 article EN cc-by Frontiers in Marine Science 2017-11-30

Abstract The northwest Atlantic Ocean is an important sink for carbon dioxide produced by anthropogenic activities. However the strong seasonal variability in surface waters paired with sparse and summer biased observations of ocean makes it difficult to capture a full picture its temporal variations throughout water column. We aim improve estimation trends dissolved inorganic (DIC) due sources using new statistical approach: time series generalization extended multiple linear regression...

10.1029/2022jc019483 article EN cc-by-nc-nd Journal of Geophysical Research Oceans 2023-06-17

Dr. Keith Thompson was a highly influential scientist in marine prediction and environmental statistics Canada abroad. He also exceptionally successful for providing high-quality mentorship to graduate students early-career scientists. In this article, we provide an overview of Thompson’s career contributions science programs training other qualified personnel.

10.3390/jmse12091649 article EN cc-by Journal of Marine Science and Engineering 2024-09-14

Abstract Seagrass trait variation, which results from both local genetic adaptation and phenotypic plasticity, has important effects on ecosystems. Physical drivers underlie these processes are determinants of variation. Despite this, few studies examine multivariate predictive relationships between sets physical seagrass traits. Here, we use redundancy analysis to define this relationship for eelgrass Zostera marina , using traits that represent bed structure, morphology, physiology...

10.1007/s12237-024-01439-3 article EN cc-by Estuaries and Coasts 2024-11-08

Understanding the impacts of anthropogenic sound on marine mammals is important for effective mitigation and management. Sound can cause behavioral changes that lead to displacement from preferred habitat have negative influence vital rates. Here, we develop a movement model better understand simulate how whales respond over ecologically meaningful space time scales. The stochastic based sequential Monte Carlo sampler (a particle filter). takes account vertical dive information influenced by...

10.1016/j.ecolmodel.2021.109798 article EN cc-by Ecological Modelling 2021-11-25

A simple procedure is described that can be used to generate 1/ f α noise, also known as power law in simulated analytical measurement vectors. Certain types of such pink noise ( =1), dominate many signals, so its simulation important optimizing data processing strategies. In this work, error sequences are created directly from white via the theoretical covariance matrix (ECM) by rotation and scaling. The ECM obtained coefficients a finite impulse response filter easily adapted...

10.1002/cem.3137 article EN Journal of Chemometrics 2019-06-20

<p>Deep convection and associated deep water formation are key processes for climate variability, since they impact the oceanic uptake of heat trace gases alter structure strength global overturning circulation. For long, in subpolar North Atlantic was thought to be confined central Labrador Sea western gyre (SPG). However, there is increasing evidence that also occurs eastern SPG south Cape Farewell Irminger Sea. In particular, observations indicate gyre-scale intensified...

10.5194/egusphere-egu21-10729 article EN 2021-03-04
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