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Articles 1 - 4 of 4
Full-Text Articles in Physical Sciences and Mathematics
Temporally Consistent Urban-Rural Delineations For Global Urban Heat Island Monitoring, Tc Chakraborty
Temporally Consistent Urban-Rural Delineations For Global Urban Heat Island Monitoring, Tc Chakraborty
Yale Day of Data
Urbanization leads to local-scale modification of climate, particularly the urban heat island (UHI) effect - the high temperature in cities compared to their surroundings. The UHI effect is generally quantified by measuring the temperature differential between the city and its surrounding rural reference. Choices of both the city and the rural reference are prone to assumptions, which may affect, among other things, temporal variability in UHI intensity. To reduce these uncertainties, I create a global dataset of urban-rural delineations that can be used to better constrain the temporal trends in UHI intensity throughout the globe using the European Space Agency's …
A Global Database Of Surface Urban Heat Island Intensity, Tc Chakraborty, Xuhui Lee
A Global Database Of Surface Urban Heat Island Intensity, Tc Chakraborty, Xuhui Lee
Yale Day of Data
The urban heat island (UHI) effect - the phenomenon of higher temperatures in urban environments - is one of the most well-known consequences of urbanization on local climate. We develop the simplified urban-extent (SUE) algorithm, a new algorithm to estimate the urban heat island (UHI) intensity at a global scale. This algorithm is implemented on the Google Earth Engine platform and uses satellite-derived images to calculate the surface UHI intensity for over 9500 urban clusters covering 15 years, making this the most comprehensive global UHI database. The data are validated against previous multi-city studies and then used to estimate the …
Crowdsourcing Global Wastewater Data, Don Mosteller, Sam Cohen, Cory Nestor, Angel Hsu, Omar Malik
Crowdsourcing Global Wastewater Data, Don Mosteller, Sam Cohen, Cory Nestor, Angel Hsu, Omar Malik
Yale Day of Data
No time to waste: Crowdsourcing global wastewater treatment data
Worldwide, over 80 percent of wastewater is discharged into water bodies without undergoing treatment, severely impairing human well-being and ecosystem vitality along the way. National performance on wastewater treatment is difficult to quantify and is poorly understood due to a lack of common definitions, poor data collection standards, and limited historical data. To address this, the Yale Environmental Performance Index (EPI), a research group that produces a biennial ranking of country-level environmental performance, developed a first-of-its kind national wastewater treatment indicator.[1]
The indicator assesses wastewater treatment performance for 183 countries, …
Incorporating Satellite Derived Cloud Climatologies To Improve High Resolution Interpolation Of Daily Precipitation., Adam M. Wilson, Benoit Parmentier, Brian Mcgill, Rob Guralnick, Walter Jetz
Incorporating Satellite Derived Cloud Climatologies To Improve High Resolution Interpolation Of Daily Precipitation., Adam M. Wilson, Benoit Parmentier, Brian Mcgill, Rob Guralnick, Walter Jetz
Yale Day of Data
Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the factors that control the spatial distribution of species and this has become even more important in the face of climate change. However, at global scales there can be enormous uncertainty in environmental data used to model species distributions. Even ‘simple’ metrics such as mean annual precipitation are difficult to estimate in areas with few weather stations and available data sets do not quantify uncertainty in these surfaces. We are developing a …