@article{0467ac8494a24f979b47dac8b934d573,
title = "Integrating inland and coastal water quality data for actionable knowledge",
abstract = "Water quality measures for inland and coastal waters are available as discrete samples from professional and volunteer water quality monitoring programs and higher-frequency, near-continuous data from automated in situ sensors. Water quality parameters also are estimated from model outputs and remote sensing. The integration of these data, via data assimilation, can result in a more holistic characterization of these highly dynamic ecosystems, and consequently improve water resource management. It is becoming common to see combinations of these data applied to answer relevant scientific questions. Yet, methods for scaling water quality data across regions and beyond, to provide actionable knowledge for stakeholders, have emerged only recently, particularly with the availability of satellite data now providing global coverage at high spatial resolution. In this paper, data sources and existing data integration frameworks are reviewed to give an overview of the present status and identify the gaps in existing frameworks. We propose an integration framework to provide information to user communities through the the Group on Earth Observations (GEO) AquaWatch Initiative. This aims to develop and build the global capacity and utility of water quality data, products, and information to support equitable and inclusive access for water resource management, policy and decision making.",
author = "{El Serafy}, {Ghada Y.H.} and Schaeffer, {Blake A.} and Neely, {Merrie Beth} and Anna Spinosa and Daniel Odermatt and Weathers, {Kathleen C.} and Theo Baracchini and Damien Bouffard and Laurence Carvalho and Conmy, {Robyn N.} and {De Keukelaere}, Liesbeth and Hunter, {Peter D.} and C{\'e}dric Jamet and Joehnk, {Klaus D.} and Johnston, {John M.} and Anders Knudby and Camille Minaudo and Nima Pahlevan and Ils Reusen and Rose, {Kevin C.} and John Schalles and Maria Tzortziou",
note = "Funding Information: Ghada El Serafy and Anna Spinosa are funded by the H2020 Odyssea and HiSea research and innovation programme under grant agreement No 727277 and No 821934 respectively. Nima Pahlevan is funded under NASA ROSES contract # 80HQTR19C0015, Remote Sensing of Water Quality element, and the USGS Landsat Science Team Award # 140G0118C0011. Laurence Carvalho was supported by the Natural Environment Research Council award number NE/R000131/1 as part of the SUNRISE programme delivering National Capability. Anders Knudby was funded by CSA FAST grant #19FAOTTB32. Peter Hunter?s contribution was supported by UK Natural Environment Research Council grant NE/S016856/1C?dric Jamet has been supported by the European Space Agency through the MERIS 4th reprocessing project (ARG/003-025/1406/LOG). Klaus D. Joehnk received funding from the EU Horizon 2020 project PrimeWater under grant agreement no. 870497. Mention of trade names or commercial products does not constitute endorsement or recommendation for use by the U.S. Government. Contributions were made from members of the Group on Earth Observations AquaWatch Initiative Working Group 3, focused on products and information. This group is responsible for identifying, generating, and evaluating products derived from complementary remote sensing and in situ data sets, as well as supporting modeling and data assimilation activities for regional and global water quality nowcasts, forecasts, and predictions. This group works to facilitate routine and sustained production of fit for purpose products for use in the scientific community, as well as information products for policy makers, decision makers, and the general public. El Serafy, Schaeffer, Neely, and Spinosa conceptualized and led the writing effort; Odermatt, and Weathers contributed to the integration of the manuscript sections with editing; and all other co-authors are otherwise listed alphabetically with equal contributions of writing. This article has been reviewed by the Center for Environmental Measurement and Modeling and approved for peer review and publication upon acceptance. The views expressed in this article are those of the authors and do not necessarily reflect the views or policies of the U.S. EPA. Funding Information: Funding: Ghada El Serafy and Anna Spinosa are funded by the H2020 Odyssea and HiSea research and innovation programme under grant agreement No 727277 and No 821934 respectively. Nima Pahlevan is funded under NASA ROSES contract # 80HQTR19C0015, Remote Sensing of Water Quality element, and the USGS Landsat Science Team Award # 140G0118C0011. Laurence Carvalho was supported by the Natural Environment Research Council award number NE/R000131/1 as part of the SUNRISE programme delivering National Capability. Anders Knudby was funded by CSA FAST grant #19FAOTTB32. Peter Hunter{\textquoteright}s contribution was supported by UK Natural Environment Research Council grant NE/S016856/1C{\'e}dric Jamet has been supported by the European Space Agency through the MERIS 4th reprocessing project (ARG/003-025/1406/LOG). Klaus D. Joehnk received funding from the EU Horizon 2020 project PrimeWater under grant agreement no. 870497. Mention of trade names or commercial products does not constitute endorsement or recommendation for use by the U.S. Government. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = aug,
day = "1",
doi = "10.3390/rs13152899",
language = "English (US)",
volume = "13",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "15",
}