State 2 • Routine prediction n of HAB events • Increase response time for oil spills • Mitigate of coral bleaching events b • Improve management decisions for sediment m d transport near coasts a NPP/NPOESS—global P temperature and moisture a profiles;; SST, ocean color, chlorophyll measurements, p turbidity, y suspended matter concentrations; littoral t sediment n transport at < 1km m resolution o
Enhanced Decision Support
l global Aquarius monthly, i sea surface salinity n 0.2 psu); mapping (within b GPM 3-hour global t and 4-D precipitation data f rates; structure of rainfall n ocean vector wind o coastal improvements to OGCM v 3Dvar ocean circulation u Improved l GRACE geoid estimates; a models. o u chlorophyll advection products; t Jason & OSTM sea surface state and ocean tides—short-range a circulation products; GODAEE c products MODIS phytoplankton, n DOM, SST, ocean color; Aqua u (AIRS and AMSR-E) SST; SeaWinds and n AMSR-E surface wind n fields; Jason and Poseidon P SSH, waves, sea level; correlation i with GOOS data S State 1
Reduce impact of pollution, p spills to protected o and commercially important m coastal resources s (reefs, fisheries); routine u forecasting of HAB H events, climate-induced u coastal change; e modeling to support o stormwater manage a ment; and mitigation o of coastal inundation t
Prediction of sediment and freshwater f input to ccoastal waters, e improvements in coastal a circulation modeling d for HAB prediction and tracking, g stormwater, fisheries i man agement; Prediction of conservative mixing region m s i for point nt source pollution into ccoastal waters—improved p forecasting c abilities for resource u managers, public l health officials, i and hazard response s teams; predictionss of coastal response planning. t inundation for emergency g n
Partnership
GOALS/PARTNERS
Field Campaign
Improved capabilities of coastal resource managers to assess and predict impacts to environmental and economic resources and assess management alternatives.
Higher spatial/temporal p resolution o of coastal modelss for improved d fisheries management, t HAB tracking; coastal t dispersion n models for oil spill tracking—improved c mitigation m strategiess for hazard response teams; e projections of shoreline s erosion; bleaching b indices for coral r reef health estimation— a advanced d warning to sanctuary m managers
Chlorophyll products d for HAB detection—increased n lead time m for shellfish managers e and public health officials; ff identification of coastal sediment n flux around coral reefss and depth-classification ca algorithms for coral o reefs—assessmentss of environmental conditions detrimental m to reef health
HAB Bulletin e and Mapping System (c. c 2002)
QuikSCAT SeaWIFS a
Terra r
Jason-1
Aquaa
GRACE
NPP
HYDROS
*Aquarius S OSTM
GPM M
EARTH OBSERVING MISSIONS
*Preformulation e
2003
2005
2007
2009
Where we are now
2011
2013
Where we plan to be
Use of Earth science observations on case-by-case proj ect basis
Routine use of Earth science products in decision tools by the coastal management community
Sea level change identified as a potential result of climate change with effects on coastal communities and ecosys tems
Use of Earth science data and model outputs and pre dictions supporting sea level scenario assessments for policy making and management
Use of SeaWiFS and QuikSCAT in the HAB Bulletin and Mapping System
At least four separate coastal issues and decision tools using Earth science products from at least seven sen sors and models