Richard P Stumpf

Summary

Affiliation: National Oceanic and Atmospheric Administration
Country: USA

Publications

  1. pmc Interannual variability of cyanobacterial blooms in Lake Erie
    Richard P Stumpf
    National Oceanic and Atmospheric Administration NOAA, National Centers for Coastal Ocean Science, Silver Spring, Maryland, United States of America
    PLoS ONE 7:e42444. 2012
  2. doi request reprint Adjustment of ocean color sensor calibration through multi-band statistics
    Richard P Stumpf
    NOAA National Ocean Service, Silver Spring, Maryland 20910, USA
    Opt Express 18:401-12. 2010
  3. ncbi request reprint Estimating cyanobacterial bloom transport by coupling remotely sensed imagery and a hydrodynamic model
    Timothy T Wynne
    NOAA, Center for Coastal Monitoring and Assessment, 1305 East West Highway, Silver Spring, Maryland 20910, USA
    Ecol Appl 21:2709-21. 2011

Collaborators

Detail Information

Publications3

  1. pmc Interannual variability of cyanobacterial blooms in Lake Erie
    Richard P Stumpf
    National Oceanic and Atmospheric Administration NOAA, National Centers for Coastal Ocean Science, Silver Spring, Maryland, United States of America
    PLoS ONE 7:e42444. 2012
    ..The total spring Q or TP load appears sufficient to predict bloom magnitude, permitting a seasonal forecast prior to the start of the bloom...
  2. doi request reprint Adjustment of ocean color sensor calibration through multi-band statistics
    Richard P Stumpf
    NOAA National Ocean Service, Silver Spring, Maryland 20910, USA
    Opt Express 18:401-12. 2010
    ..The method demonstrates the spectral stability of the SeaWiFS calibration and identifies a drift in the MODIS instrument onboard Aqua that falls within its current calibration uncertainties...
  3. ncbi request reprint Estimating cyanobacterial bloom transport by coupling remotely sensed imagery and a hydrodynamic model
    Timothy T Wynne
    NOAA, Center for Coastal Monitoring and Assessment, 1305 East West Highway, Silver Spring, Maryland 20910, USA
    Ecol Appl 21:2709-21. 2011
    ..These modeling techniques can be incorporated into an operational forecasting system...