Water Quality Monitoring and Forecasting in Coastal and Inland Waters: Applications and Operational Services I

Session ID#: 92871

Session Description:
Water is an increasingly threatened resource, particularly the quality of coastal and inland waters due to population growth, urbanization, and climate change. Further, the interfacial nature of the coastal zone, bridging aquatic, terrestrial, atmospheric, and anthropogenic domains, means they are significantly impacted by dynamic, complex processes. Timely, accurate, and consistent scientific-based assessments, monitoring and forecasting of water quality are crucial across global, regional, and local scales. This session solicits contributions addressing the end-to-end value chain for coastal and inland water quality. This includes new and improved physical, biogeochemical, and ecological observations and data products (remote and in situ), data assimilation and forecasts, and synergistic generation of fit for purpose water quality products and indicators to provide integrated information for water quality managers and other stakeholders. Developmental and operational activities that couple products and indicators (from observations, models etc.) across the land-water interface are solicited, likewise information delivery systems and decision-making tools that enhance user knowledge. This session advances the goals of the AquaWatch Initiative being developed under the auspices of the Group for Earth Observations, particularly development of water quality monitoring and forecasting service(s) in developed and developing nations, supporting the U.N. Sustainable Development Goals, especially SDG-6: Clean Water and SDG-14: Life Below Water.  Studies focusing on data products, applications, and operational services should submit to this session; abstracts focusing more on the basic understanding of biogeochemical processes associated with water quality should instead submit to the "Water quality monitoring and forecasting in coastal waters: Biogeochemistry of urban systems” session.
  • SI - Social-Ocean Science Interactions and SDGs
Index Terms:

4217 Coastal processes [OCEANOGRAPHY: GENERAL]
4235 Estuarine processes [OCEANOGRAPHY: GENERAL]
4251 Marine pollution [OCEANOGRAPHY: GENERAL]
9345 Large bodies of water (e.g., lakes and inland seas) [GEOGRAPHIC LOCATION]
Primary Chair:  Paul M DiGiacomo, NOAA College Park, College Park, MD, United States
Co-chairs:  Benjamin Holt, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Steven Greb, University of Wisconsin-Madison, Madison, United States
Primary Liaison:  Guangming Zheng, University of Maryland, College Park
Moderators:  Steven Greb, University of Wisconsin-Madison, Madison, United States, Guangming Zheng, University of Maryland, College Park and Benjamin Holt, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Student Paper Review Liaison:  Guangming Zheng, University of Maryland, College Park

Abstracts Submitted to this Session:

Characterization of Inherent Optical Properties (IOPs) over Global Coastal and Inland Waters from VIIRS Ocean Color Observations (646344)
Wei Shi, NOAA College Park, College Park, MD, United States and Menghua Wang, NOAA/NESDIS/STAR, College Park, MD, United States
Great Lakes Water Quality Products and Assessments using Tuned “Lake” Color Algorithms (654441)
Robert A Shuchman1, Michael Sayers1, Karl Bosse1, Gary Fahnenstiel1, George Leshkevich2, Philip Chu3 and Steven A Ruberg3, (1)Michigan Tech Research Inst, Ann Arbor, MI, United States, (2)NOAA, MI, United States, (3)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States
A comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes. (646284)
Caren Binding1, Chuiqing Zeng2 and Larissa Pizzolato2, (1)Environment and Climate Change Canada, Burlington, Canada, (2)Environment and Climate Change Canada, ON, Canada
Prediction of the optical water type of lakes from catchment properties (658280)
Moritz Karl Lehmann1, Ian Hawes2, Mathew Allan3 and Kohji Muraoka2, (1)Xerra Earth Observation Institute, Raglan, New Zealand, (2)University of Waikato, Hamilton, New Zealand, (3)University of Waikato, Environmental Research Institute, Hamilton, New Zealand
Numerical modelling services in support of aquaculture management (639714)
Tomasz Dabrowski1, Kieran Lyons1, Joseph McGovern Dr.2, Hazem Nagy1,3 and Caroline Cusack4, (1)Marine Institute Ireland, Galway, Ireland, (2)Marine Institute Ireland, Ireland, (3)University of Alexandria, Alexandria, Egypt, (4)Marine Institute Ireland, Oranmore, Ireland
Adaptive Real-time Forecasting and Monitoring of Water Quality in a Crucial Link to Regional Water Supply (649900)
Nicholas Hutley1, Matthew Dunbabin2, Nathaniel Deering1, Badin Gibbes1, Simon Albert1 and Alistair Robert Grinham3, (1)The University of Queensland, Aquatic Systems Research Group, School of Civil Engineering, Brisbane, QLD, Australia, (2)Queensland University of Technology, Science and Engineering Faculty, Brisbane, QLD, Australia, (3)The University of Queensland, School of Civil Engineering, Brisbane, QLD, Australia
Real-time Forecasts of Acidification and Hypoxia in the Chesapeake Bay: Model Setup and Online Visualization (654738)
Aaron J Bever1, Marjorie A. M. Friedrichs2, Fei Da2, Pierre St-Laurent2, Karen Hudson2 and Alicia Morandi3, (1)Anchor QEA, San Francisco, CA, United States, (2)Virginia Institute of Marine Science, Gloucester Point, VA, United States, (3)RPS ASA – USA, South Kingstown, United States