ARO Special Programs: Developing an Approach to Map Air Surface Maxima and Minima Temperatures by Exploring Surface Energy Balance
Abstract
The technical objective of the proposed effort is to develop a new method that combines ground-based and satellite observations to map at fine resolution (1 km) minimum and maximum air temperature in urban and non-urban environments. The proposed effort seeks to achieve the stated technical objective through statistical analysis using spatio-temporal methods of the following: (1) previously collected, publicly available data including daily meteorological data sets and geometric temperature trends from NOAA-National Climate Data Center, evapotranspiration and skin temperature data from Moderate Resolution Imaging Spectroradiometer (MODIS) 8-day images, and digital elevation models, and (2) ground-based measurements, including of turbulent fluxes immediately above the ground surface, incoming net radiation, ground heat flux, soil moisture, and eddy covariance, that will be collected by the PI and his students using a portable suite of instrumentation. To address differences in scale between remotely sensed and ground-based information, an urban canopy model will be applied, which will be used with satellite-derived surface parameters and meteorological fields at specific sites to partition and output surface energy fluxes based on landcover type. This information will then be scaled to the resolution of satellite images.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510526
Entities
People
- Hamidreza Norouzi
Organizations
- Army Contracting Command
- New York City College of Technology
- United States Army