CUAHSI December 2022 e-Newsletter

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...

Distinct Regulation of Riverine Inorganic Carbon by Soil CO₂ and Climate

The evasion of CO2 from inland waters, a major carbon source to the atmosphere,...

Advances in Observation and Modeling of Seasonal Snow and Ecohydrological Processes in Forests and Cold Regions III Poster

In cold regions and forests, water availability depends on the complex dynamics between seasonal snow and ecohydrological processes, which are also sensitive to a warming climate and land cover disturbances. Many forest processes (e.g., interception, evapotranspiration) are tightly linked to the canopy structure and vary across small spatial scales. Snow and ecohydrological processes further vary across landscape scales due to interactions with atmosphere, topography, and vegetation. These interacting processes entail major observational and modeling challenges for both current and future conditions. Recent remote sensing technology provide detailed understanding of forest snow and canopy structure, vegetation disturbance and regrowth, as well as snow distributions across a range of spatial scales. Modeling capabilities continue to improve through advances in physical parameterizations, data assimilation, and data-driven techniques. This session focuses on novel observations and advances in modeling techniques for understanding snow and ecohydrological processes in snow-covered regions and forests.

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

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.

#RoadToAGU

Advice and insights for first time attendees of the American Geophysical Union Annual Fall Meeting

Climate Controls on River Chemistry

How does long-term river chemistry vary across climate gradients? Existing lite...

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

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.

Advances in Observation and Modeling of Seasonal Snow and Ecohydrological Processes in Forests and Cold Regions I Oral

In cold regions and forests, water availability depends on the complex dynamics between seasonal snow and ecohydrological processes, which are also sensitive to a warming climate and land cover disturbances. Many forest processes (e.g., interception, evapotranspiration) are tightly linked to the canopy structure and vary across small spatial scales. Snow and ecohydrological processes further vary across landscape scales due to interactions with atmosphere, topography, and vegetation. These interacting processes entail major observational and modeling challenges for both current and future conditions. Recent remote sensing technology provide detailed understanding of forest snow and canopy structure, vegetation disturbance and regrowth, as well as snow distributions across a range of spatial scales. Modeling capabilities continue to improve through advances in physical parameterizations, data assimilation, and data-driven techniques. This session focuses on novel observations and advances in modeling techniques for understanding snow and ecohydrological processes in snow-covered regions and forests.