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We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in selected metropolitan areas in the United States by using Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature and change from 1985 to the current. These data were used to calculate the temperature difference between urban and surrounding rural areas as the UHI intensity in an annual basis. The annual changes of UHI intensity associated with urban development were also quantified. Two datasets containing the annual mean and annual maximum surface temperatures that were spatially in 30 meters resolution were included....
The cascade of uncertainty that underscores climate impact assessments of regional hydrology undermines their value for long-term water resources planning and management. This study presents a statistical framework that quantifies and propagates the uncertainties of hydrologic model response through projections of future streamflow under climate change. Different sources of hydrologic model uncertainty are accounted for using Bayesian modeling. The distribution of model residuals is formally characterized to quantify predictive skill, and Markov chain Monte Carlo sampling is used to infer the posterior distributions of both hydrologic and error model parameters. Parameter and residual error uncertainties are integrated...


    map background search result map search result map Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 2.0, August 2020) Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 2.0, August 2020)