Modeling hydrological and biogeochemical fluxes from land to ocean through river systems: linkage of remote sensing, observations and models.
Charles
Vorosmarty, University of New Hampshire, charles.vorosmarty@unh.edu
(Presenting)
Wilfred
Wollheim, University of New Hampshire, wil.wollheim@unh.edu
Balazs
Fekete, University of New Hampshire, balazs.fekete@unh.edu
Joseph
Salisbury, University of New Hampshire, joe.salisbury@unh.edu
James
Syvitski, CSDMS, University of Colorado, james.syvitski@colorado.edu
Sybil
Seitzinger, Rutgers University, sybil@marine.rutgers.edu
Christopher
Milly, NOAA, chris.milly@noaa.gov
Steven
Greb, Wisconsin Department of Natural Resources, steven.greb@wisconsin.gov
Michel
Meybeck, University of Paris IV, michel.meybeck@ccr.jussieu.fr
Bruce
Peterson, Marine Biological Laboratory, peterson@mbl.edu
John
Harrison, University of California Davis, jharrison@ucdavis.edu
Emilio
Mayorga, Rutgers University, mayorga@marine.rutgers.edu
Albert
Kettner, CSDMS, University of Colorado, albert.kettner@colorado.edu
Recent advances in remote sensing, GIS, data assimilation, and synthesis are leading to improved estimates of the carbon and affiliated constituent cycles on land and in the ocean. Continental aquatic systems are an important link between the terrestrial and aquatic carbon cycle, and between inland and coastal ecosystems, and may in their own right represent an important carbon sink. The goals of our NASA-IDS funded effort include developing products that will help better constrain estimates on the fate of terrestrial carbon, riverine biogeochemical inputs to the coastal ocean, and the fate of carbon within continental aquatic systems. Our approach links hydrological and biogeochemical models, remote sensing products, and observational data sets using a recently developed modeling system, the Framework for Aquatic Modeling of the Earth System (FrAMES). FrAMES accounts for vertical and horizontal fluxes through gridded river networks using a daily time step. Over the past year, we have developed functions within FrAMES for flood wave routing, irrigation and net water loss in conveyance downstream, data assimilation of observed discharge observations, and routing of water temperature, single constituents (e.g. dissolve inorganic nitrogen), and multiple, interacting constituents (e.g. multiple N forms). Predictions have compared favorably with a broad set of observations. Hydrological products have been used in the Global NEWS (Nutrient Export from Watersheds) nutrient flux models investigating scenarios of contemporary and future nutrient fluxes to the coastal zone. Remote sensing information is being incorporated to represent drivers of hydrological fluxes (e.g. MODIS land cover), to provide spatially distributed biogeochemical inputs (e.g. MODIS EVI vs. DOC), to identify sediment depositional areas within river basins and deltas (using MODIS and SRTM), and to compare model flux predictions with coastal responses (using SeaWIFS and MODIS).
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: