Water clarity patterns in South Florida coastal waters and their linkages to synoptic-scale wind forcing

Pirhalla, Douglas E.; Sheridan, Scott C.; Lee, Cameron C.; Barnes, Brian B.; Ransibrahmanakul, Varis; Hu, Chuanmin

doi:10.18063/som.2016.02.003

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…To gain insights on the relationship between SLP [circulation patterns (CPs)] and wind patterns (WPs) with SLA spatial patterns along the coast, normalization procedures adapted from Pirhalla et al (2016) were applied to develop climatological SLA monthly mean ratio map composites for all 52 SOM nodes analyzed. That is, for each SOM node in each calendar month, the ratio of SLA monthly mean for only those dates when the node of interest occurred over the moving 7-yr mean was calculated as…”

Section: Estimating Sla Pattern Response From Som Nodesmentioning

confidence: 99%

Atlantic Coastal Sea Level Variability and Synoptic-Scale Meteorological Forcing

Pirhalla

Lee

Sheridan

et al. 2022

Journal of Applied Meteorology and Climatology

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Anomalous sea levels along the Mid- and South- Atlantic coasts of the United States are often linked to atmosphere- ocean dynamics, remote- and local- scale forcing and other factors linked to cyclone passage, winds, waves, and storm surge. Herein, we examine sea level variability along the U.S. Atlantic coast through satellite altimeter and coastal tide gauge data within the context of synoptic-scale weather pattern forcing. Altimetry, derived from sea level anomaly (SLA) data between 1993 and 2019 were compared with Self Organizing Map (SOM)-based atmospheric circulation and surface wind field categorizations to reveal spatiotemporal patterns and their inter-relationships with high water-level conditions at tide gauges. Regional elevated sea level patterns and variability were strongly associated with synergistic patterns of atmospheric circulation and wind. Recurring atmospheric patterns associated with high-tide flooding events and flood risk were identified, as were specific regional oceanographic variability patterns of SLA response. The incorporation of combined metrics of wind and circulation patterns further isolate atmospheric drivers of high tide flood events and may have particular significance for predicting future flood events over multiple spatial and temporal scales.

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Section: Estimating Sla Pattern Response From Som Nodesmentioning

confidence: 99%

Atlantic Coastal Sea Level Variability and Synoptic-Scale Meteorological Forcing

Pirhalla

Lee

Sheridan

et al. 2022

Journal of Applied Meteorology and Climatology

Self Cite

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“…Though there have been numerous different methodologies to classify atmospheric patterns, in recent years one method of classification has become increasingly used: self-organizing maps (SOMs; Sheridan and Lee, 2011), an artificial neural network-based classification technique in which circulation patterns are ordered in a twodimensional continuum of patterns, with more similar patterns located in closer proximity than more dissimilar patterns. SOMs, generally used with regional fields of sea-level pressure, have been shown to be effective at examining the association between atmospheric circulation and coastal sea-levels (Sheridan et al, 2017), marine ecosystem structure (Kimmel et al, 2009), cold SST events and thermal stress in marine species (Pirhalla et al, 2015), water clarity (Pirhalla et al, 2016), and chlorophyll levels (Sheridan et al, 2013).…”

Section: Synoptic Meteorology and Coastal Applicationsmentioning

confidence: 99%

Observational Needs Supporting Marine Ecosystems Modeling and Forecasting: From the Global Ocean to Regional and Coastal Systems

et al. 2019

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Many coastal areas host rich marine ecosystems and are also centers of economic activities, including fishing, shipping and recreation. Due to the socioeconomic and ecological importance of these areas, predicting relevant indicators of the ecosystem state on sub-seasonal to interannual timescales is gaining increasing attention. Depending on the application, forecasts may be sought for variables and indicators spanning physics (e.g., sea level, temperature, currents), chemistry (e.g., nutrients, oxygen, pH), and biology (from viruses to top predators). Many components of the marine ecosystem are known to be influenced by leading modes of climate variability, which provide a physical basis for predictability. However, prediction capabilities remain limited by the lack of a clear understanding of the physical and biological processes Frontiers in Marine Science | www.frontiersin.org 1 October 2019 | Volume 6 | Article 623 Capotondi et al. Marine Ecosystems Modeling and Forecastinginvolved, as well as by insufficient observations for forecast initialization and verification. The situation is further complicated by the influence of climate change on ocean conditions along coastal areas, including sea level rise, increased stratification, and shoaling of oxygen minimum zones. Observations are thus vital to all aspects of marine forecasting: statistical and/or dynamical model development, forecast initialization, and forecast validation, each of which has different observational requirements, which may be also specific to the study region. Here, we use examples from United States (U.S.) coastal applications to identify and describe the key requirements for an observational network that is needed to facilitate improved process understanding, as well as for sustaining operational ecosystem forecasting. We also describe new holistic observational approaches, e.g., approaches based on acoustics, inspired by Tara Oceans or by landscape ecology, which have the potential to support and expand ecosystem modeling and forecasting activities by bridging global and local observations.

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“…Among these papers, five papers investigated atmospheric or oceanographic phenomena and processes using satellite remote sensing data (Doronzo et al , 2017;Han et al, 2016;Pirhalla et al, 2017;Wu et al, 2016). Four papers examined hydrodynamics and regional oceanography based on numerical simulations, in-situ observations, and satellite remote sensing data (Chen et al, 2017;Luo, 2016;Shan et al, 2016;Zhang et al, 2017;).…”

Section: Editor-in-chief: Jinyu Shengmentioning

confidence: 99%

Editorial

Jiang¹

2017

Satell Oceanogr Meteorol

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The journal of Satellite Oceanography and Meteorology (SOM) was launched in 2016 for inspiring and disseminating research papers on theory, science, technology and applications of satellite remote sensing data of the ocean, atmosphere and climate. We welcome research papers in areas of (a) original research results from satellite observations of the regional and global ocean and atmosphere, (b) calibration/validation and research related to future satellite missions, and (c) new satellite-derived products and climate records constructed from satellite observations. We also welcome high-quality research papers in broad research areas including but not limiting to (i) oceanography and marine science; (ii) meteorology and atmospheric science; (iii) air-sea, physical-biological and physical-chemical interactions, and (iv) studies of the Earth's climate system.Twelve high-quality research papers were published in the first two issues of this journal. Among these papers, five papers investigated atmospheric or oceanographic phenomena and processes using satellite remote sensing data (Doronzo et al , 2017; Han et al, 2016;Pirhalla et al, 2017;Wu et al, 2016). Four papers examined hydrodynamics and regional oceanography based on numerical simulations, in-situ observations, and satellite remote sensing data (Chen et al, 2017; Luo, 2016;Shan et al, 2016;Zhang et al, 2017;). Two papers investigated regional atmospheric conditions based on reanalysis data (Yang et al, 2016;Yang et al, 2017). One paper studied the response of atmospheric pressures at the sea level to the sea surface temperature in simulations of Australian east coast lows produced by the Weather Research and Forecast model (Chambers et al, 2016). The SOM will maintain its current trend of publishing across a broad spectrum of research topics.In addition to scientific papers, the SOM also welcomes review articles and short papers containing new data/products or techniques related to oceanic and atmospheric satellites may be published as short communications. All manuscripts will be peer reviewed before publication. Articles accepted for publication will be published immediately online, ensuring a fast and efficient process. Associate Editors-in-Chief:Fangli Qiao, The First Institute of Oceanography, China Yi Cai, National Marine Environmental Forecasting Center, China Qingtao Song, National Marine Environmental Forecasting Center, China References:Chambers C R S, Brassington G B,

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Water clarity patterns in South Florida coastal waters and their linkages to synoptic-scale wind forcing

Cited by 4 publications

References 26 publications

Atlantic Coastal Sea Level Variability and Synoptic-Scale Meteorological Forcing

Atlantic Coastal Sea Level Variability and Synoptic-Scale Meteorological Forcing

Observational Needs Supporting Marine Ecosystems Modeling and Forecasting: From the Global Ocean to Regional and Coastal Systems

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