Advances in global water, water connectivity, and water infrastructure data
Conveners: Penny Beames1, Heloisa Macedo1, Florence Tan1
Monitoring and modeling water resources at the global scale is important to understanding interconnected global issues such as climate change, water scarcity, and water pollution. As anthropogenic activities impact the global water cycle and its connectivity, especially those that directly affect water quantity and quality, it is vital to track and model how these activities are interacting with natural processes. These interventions can include dams, irrigation systems, and industrial and domestic wastewater treatment plants. Advances in understanding these interactions, and in the underlying processes themselves, can reveal whether anthropogenic activities are accelerating, hindering, or interrupting these processes. Data produced from these efforts can be used to improve forecasting, management practices, and policy development. We invite contributions that introduce and/or discuss data, models, methods, frameworks, and applications of data products that advance understanding of water resources and water infrastructure at the global or large/continental scale. We welcome contributions of (but not limited to):
(1) hydrological components and their properties, such as river networks, lakes, and wetlands;
(2) hydrological, meteorological, and Earth systems processes data, such as river discharge, evapotranspiration, precipitation, and erosion;
(3) infrastructure related to water resources, such as dams, reservoirs, drinking water treatment plants, and wastewater treatment plants;
(4) water pollution and contaminants data, including measurements and modeled values.
Primary Affiliation: Hydrology