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Nir Krakauer The City College of New York, CUNY

Nir Krakauer The City College of New York, CUNY Naira Chaouch, Marouane Temimi, Kyle McDonald, Adao Matonse (CUNY); Donald Pierson, Elliot Schneiderman (NYCDEP).

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Nir Krakauer The City College of New York, CUNY

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  1. Nir Krakauer The City College of New York, CUNY Naira Chaouch, Marouane Temimi, Kyle McDonald, Adao Matonse (CUNY); Donald Pierson, Elliot Schneiderman (NYCDEP) Application of evapotranspiration and soil moisture remote sensing products to enhance hydrological modeling for decision support in the New York City water supply

  2. Partners / Problem • NYC manages a 60-120 year old system of reservoirs, aqueducts, tunnels supplying 9 million people • Water quantity: Drought now rarely poses serious problems, but earlier snowmelt, hotter summers are threats • Water quality: function of rain rate, soil moisture as well as land use • Lessons to be shared with water managers regionally via Consortium for Climate Risk in the Urban Northeast (CCRUN)

  3. Science objective • Improve understanding of water budget during low-flow periods • Equifinality is a challenge – models may perform well under current conditions but do poorly for processes that aren't calibrated – or for future conditions • ET is the largest summer water flux, yet no ET or soil moisture data currently used to calibrate NYC watershed models

  4. Policy objective • Enable water managers to make use of remote sensing information • Systematically compare remote sensing data and operational watershed models • Deepen working relationships and interaction between municipal agency and academic, NASA, NOAA scientists

  5. Technical approach • Use multiple remote sensing and other products to estimate summer water stores and fluxes and highlight areas of uncertainty • Examples: • Soil moisture and freeze/thaw: AMSR-E; SMOS; (SMAP) • ET / drought: MODIS Global ET Project; GOES thermal product • Vegetation health: VHI; EVI • Precipitation: PRISM; ST-IV • Water storage: GRACE

  6. Initial results: Calibrated model gets streamflow right... West Branch Delaware River (860 km2); Blue: Gauge, Red: GWLF model

  7. But are individual water balance terms consistent? Blue: MOD16, Red: GWLF model

  8. Goals and Metrics – Science • Use remote sensing products to provide information relevant to watershed-scale hydrological modeling of drought conditions. • Identify suitable remote sensing products and estimate uncertainties. • Use remote sensing products to calibrate/verify parameters in watershed hydrological models under drought conditions. • Improved watershed model representation of water quantity and quality under low flows in out-of-sample verification tests.

  9. Goals and Metrics – Policy • Better NYC water management from improvement in hydrological modeling capability for drought. • Delineate pathways leading from improvement in model performance to gains in drought preparedness. • Water resource application work communicated and extended across the remote sensing and water resources fields. • Describe work in conferences and journal articles; attract interest in new collaborations and extensions.

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