Application of land surface hydrology measurements to enhance modeling for decision support in the New York City water supply PA51A-2074 1378356 A new collaboration between the City University of New York (CUNY) Remote Sensing of the Earth Science and Technology (CREST) Institute and the New York City Department of Environmental Protection (NYCDEP), the agency that manages and operates the New York City (NYC) water supply, is evaluating remote sensing and ground observations of land-surface hydrology to assess and calibrate the watershed models now being used by NYCDEP. NYCDEP provides more than one billion gallons of water each day to more than nine million residents. There is evidence that climate change may be impacting the hydrology of the watersheds within the NYC water supply system. Earlier winter-spring peak streamflow combined with longer, hotter summers could affect water quantity and as well as water quality. To enable effective adaptation, the hydrology models being used for scenario planning and operational management must accurately represent important dry-summer hydrological processes that affect streamflow and water quality, particularly evapotranspiration and soil moisture depletion, across hilly watersheds with multiple land uses. However, field data for assessing these model capabilities are sparse. This investigation uses thermal, microwave, and other remote sensing data to infer soil moisture and evapotranspiration spatiotemporal patterns under drought conditions. In the current feasibility phase, we are surveying available relevant remote sensing products and prototyping their use in the NYC reservoir watersheds for model verification and calibration. While the watersheds managed by NYCDEP will be the core area for this investigation, we will collaborate with CUNY partners in the Consortium for Climate Risk in the Urban Northeast (CCRUN) to extend regionally the benefits of the work carried out. Land surface measurement and modeling being carried out by CUNY in support of current and projected satellite missions such as NASA’s Soil Moisture Active-Passive (SMAP) mission will also be used. This project will directly benefit the SMAP mission through development of of new applications of SMAP freeze/thaw and soil moisture products supported under SMAP’s Early Adopters program. Our hypothesis is that the use of remote sensing and in situ land surface data will result in significant improvements in model simulation of low-flow water quantity and quality. Portions of this work were carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract to the National Aeronautics and Space Administration.
Nir Krakauer1, 2, Naira Chaouch2, Tarendra Lakhankar2, Adao H Matonse4, Kyle C McDonald3, 6, Donald C Pierson5, Elliot Schneiderman5, Marouane Temimi2 1. Civil Engineering, City College, CUNY, New York, NY, USA; 2. NOAA-CREST, City College, CUNY, New York, NY, USA; 3. Earth and Atmospheric Sciences, City College, CUNY, New York, NY, USA; 4. Institute for Sustainable Cities, Hunter College, CUNY, New York, NY, USA; 5. Bureau of Water Supply, NYCDEP, Kingston, NY, USA; 6. Water and Carbon Cycles Group, Jet Propulsion Laboratory, Pasadena, CA, USA