ProjectIntegrating SWOT Measurements into Global Hydrologic and Hydraulic Models
Co-InvestigatorJames FamigliettiRecent SWOT-related Publications | See All ► Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data (2018) Evaluation of Regional-Scale River Depth Simulations Using Various Routing Schemes within a Hydrometeorological Modeling Framework for the Preparation of the SWOT Mission (2015)
Meeting Presentations (7)
Global Flood Wave Travel Times and SWOT Data Latency [presentation]Allen, G.H., David, C.H., Andreadis, K., Hossain, and Famigiletti, J.S. (28-Jun-18)
Uncertainty Quantification for River Discharge and Implications for Data Assimilation [presentation]David, C.H., Emery, C.M., Turmon, M.J., Hobbs, J.M., Reager, J.T., Famiglietti, J.S., Andreadis, K.M., and Beighley, E. (28-Jun-18)
River Model Inter-comparison Project (RivMIP) for SWOT [presentation]David, C., Andreadis, K., Famiglietti, J.S., Beighley, R.E., Boone, A., Yamazaki, D., Kim, H., Fiset, J-M., Rodriguez, E., Biancamaria, S., Paiva, R., and Fisher, C. (28-Jun-17)
Integrating Lateral Contributions Along River Reaches to Improve SWOT Discharge Estimates [poster]Beighley, E., Zhao, Y., Feng, D., Fisher, C.K., Raoufi, R., Durand, M.T., David, C.H., Lee, H., Boone, A.A., and Cretaux, J-F. (13-Dec-16). One derived data product planned for the SWOT mission is river discharge. Although there are several discharge algorithms that perform well for a range of conditions, this effort is focused on the MetroMan discharge algorithm. For example, in MetroMan, lateral inflow assumptions have been shown to impact performance. Here, the role of lateral inflows on discharge estimate performance is investigated.
Preparing for the Ingestion of SWOT Data into Continental-scale River Models [poster]David, C.H., Andreadis, K.M, Famiglietti, J.S., Beighley, R.E., Boone, A.A., Yamazaki, D., Kim, H., Gaborit, E., Rodriguez, E., Biancamaria, S., Paiva, R., and Schumann, G. J-P. (13-Dec-16). In preparation for the expected SWOT observations, an inter-comparison of continental-scale river models is being designed. We present here the preliminary architecture and early results of the inter-comparison in hope to motivate further community feedback and involvement.
Integration of SWOT Measurements in Global Hydro Models [poster]David, C., Andreadis, K., Famiglietti, J., Beighley, R., Boone, A., Yamazaki, D., Kim, H., Gaborit, E., Rodriguez, E., and Biancamaria, S. (14-Jun-16)
Towards an Improved Understanding of the Global Hydrological Cycle with SWOT [presentation]Boone, A., Martin, E., Pedinotti, V., Häfliger, V., Biancamaria, S., Mognard, N., Decharme, B., Habets, F., Ricci, S., David, C., and Yang, Z-L. (28-Jan-13)
Allen, G.H., David, C., Andreadis, K.M., Hossain, F. and Fariglietti, J.S. (2018). Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data, Geophys. Res. Lett., 45, doi: 10.1029/2018GL077914.
Häfliger, V., Martin, E., Boone, A., Habets, F., David, C.H., Garambois, P-A., Roux, H., Ricci, S., Berthon, L., Thévenin, A., and Biancamaria, S. (2015). Evaluation of Regional-Scale River Depth Simulations Using Various Routing Schemes within a Hydrometeorological Modeling Framework for the Preparation of the SWOT Mission, J. Hydrometeorol., 16, 1821-1842, doi: 10.1175/JHM-D-14-0107.1.
Integrating SWOT Measurements Into Global Hydrologic and Hydraulic ModelsPI: Cedric David (14-Jun-17). We plan to build on ongoing research in several institutions to establish an international collaboration that will focus on understanding the best integration methods between expected SWOT terrestrial retrievals and existing global hydrologic/hydrodynamic models.