Seasonal and longitudinal variability in mercury concentrations in Arctic rivers

Permafrost regions with organic-rich substrate contain mercury (Hg) that accumu...

Automated Machine Learning Approach to Supervised Anomaly Detection from Critical Zone Watershed Sensor-Generated Time Series Data

Critical zone time series datasets frequently contain anomalous patterns. Anoma...

Catchment Science – Connecting the Dots from Monitoring to Process Understanding

The catchment community has recently organized its efforts to promote and sustain catchment science, showcasing the inherent scientific and societal value of more than 200 catchment studies that span the globe. This town hall builds on these recent efforts by facilitating an interactive discussion on how to carry out an effective collaborative data synthesis workshop. As a starting point for analysis, we will ask participants to craft a perceptual model of their catchment, led by examples from several catchments. We will conduct a brief collaborative analyses by computing and comparing monthly and annual precipitation – runoff (P-Q) budgets, for which virtually all sites have data. In a future workshop, we anticipate that the sheer number of catchments and their geographic range may reveal novel climatic, geological, or biological factors that drive catchment groupings and reframe perspectives in a global context. As an example, sub-groups of catchments with appropriate data may focus on computing catchment water storage and analyzing factors that shape differences in catchment storage over time and space. We welcome your participation and ideas on designing a future workshop.

Impacts of Arid Land Agriculture and Flood Irrigation on Soil Quality, Water Dynamics, and Gas Transport

In this study, we apply the holistic approach of Critical Zone science to under...

Seasonal and longitudinal variability in mercury concentrations in Arctic rivers

Permafrost regions with organic-rich substrate contain mercury (Hg) that accumu...

Impacts of Arid Land Agriculture and Flood Irrigation on Soil Quality, Water Dynamics, and Gas Transport

In this study, we apply the holistic approach of Critical Zone science to under...

Frontiers in Water-Quality Science: Origins, Patterns, and Detection of Spatial and Temporal Variation III Poster

The chemical, physical and biological condition of waterways – “water quality” – is critical for ecological and human health. This session explores cutting-edge methods, novel synthesis products, and new models about water quality. We encourage submissions that use new tools and data sets to reveal spatio-temporal patterns in water quality across scales ranging from single catchment studies to cross-site syntheses. Wide-spread deployment of in-situ sensors has revolutionized our understanding of watershed dynamics over diel, storm, and seasonal timescales, highlighting the disproportionate impact of discrete events on annual export. Emerging capabilities for remote sensing of water quality, the explosion in synthesis opportunities, and improvements in water quality models enable new understanding of where, when, and why water quality varies, and new theories to explain these patterns. We solicit contributions that explore these water quality patterns in watersheds across the land use continuum, and particularly in systems experiencing the impacts of environmental change.

Identification of Hot Moments of Nutrient Processing in Coastal Systems Using High Frequency Sensors

Salt marshes are critical hot spots of nutrient processing and retention and pl...

Frontiers in Water-Quality Science: Origins, Patterns, and Detection of Spatial and Temporal Variation III Poster

The chemical, physical and biological condition of waterways – “water quality” – is critical for ecological and human health. This session explores cutting-edge methods, novel synthesis products, and new models about water quality. We encourage submissions that use new tools and data sets to reveal spatio-temporal patterns in water quality across scales ranging from single catchment studies to cross-site syntheses. Wide-spread deployment of in-situ sensors has revolutionized our understanding of watershed dynamics over diel, storm, and seasonal timescales, highlighting the disproportionate impact of discrete events on annual export. Emerging capabilities for remote sensing of water quality, the explosion in synthesis opportunities, and improvements in water quality models enable new understanding of where, when, and why water quality varies, and new theories to explain these patterns. We solicit contributions that explore these water quality patterns in watersheds across the land use continuum, and particularly in systems experiencing the impacts of environmental change.

CZNet