Theodore Weber; Austin Corotan; Brian Hutchinson; Ben Kravitz; Robert Link DOI: https://doi.org/10.5194/acp-20-2303-2020 Abstract: We investigate techniques for using deep neural networks to produce surrogate models for short-term climate forecasts. A convolutional neural network is trained on 97 years of monthly precipitation output from the 1pctCO2 run (the CO2 concentration increases by 1 %…
Linying Wang, Maoyi Huang, Dan Li DOI: https://doi.org/10.1029/2020GL087853 Abstract: By reflecting more sunlight, white (cool) roofs experience lower surface temperatures and produce less heating of the surrounding air. The effectiveness of cool roofs, quantified by the surface temperature difference between cool and regular roofs (ΔTs), is known to vary spatially….
Neal T. Graham, Mohamad I. Hejazi, Son H. Kim, Evan G. R. Davies, James A. Edmonds & Fernando Miralles-Wilhelm DOI: https://doi.org/10.1038/s41467-020-17400-4 Abstract: Water stressed regions rely heavily on the import of water-intensive goods to offset insufficient food production driven by socioeconomic and environmental factors. The water embedded in these traded…
Casey D. Burleyson, Gokul Iyer, Mohamad Hejazi, Sonny Kim, Page Kyle, Jennie S. Rice, Amanda D. Smith, Z. Todd Taylor, Nathalie Voisin, Yulong Xie DOI: https://doi.org/10.1016/j.energy.2020.118312 Abstract: Projections of building electricity consumption are used in multiple fields and for a variety of purposes, from energy utility investment decisions to global…
Nathalie Voisin, Ana Dyreson, Tao Fu, Matt O’Connell, Sean W.D. Turner, Tian Zhou, Jordan Macknick DOI: https://doi.org/10.1016/j.apenergy.2020.115467 Abstract: Climate change is expected to affect the availability of water for electricity generation, yet the propagation of climate impacts across a large and diverse power grid remains unexplored. In this study, we…
J. D. Quinn, A. Hadjimichael, P. M. Reed, S. Steinschneider DOI: https://doi.org/10.1029/2020EF001650 Abstract:Planning under deep uncertainty, when probabilistic characterizations of the future are unknown, is a major challenge in water resources management. Many planning frameworks advocate for “scenario‐neutral” analyses in which alternative policies are evaluated over plausible future scenarios with…
Hamidreza Zoraghein and Brian C. O’Neill DOI: https://doi.org/10.3390/su12083374 Abstract: Spatial population distribution is an important determinant of both drivers of regional environmental change and exposure and vulnerability to it. Spatial projections of population must account for changes in aggregate population, urbanization, and spatial patterns of development, while accounting for uncertainty…
Zarrar Khan, Thomas Wild, Chris Vernon, Andy Miller, Mohamad Hejazi, Leon Clarke, Fernando Miralles-Wilhelm, Raul Munoz Castillo, Fekadu Moreda, Julia Lacal Bereslawski, Micaela Suriano, Jose Casado DOI: http://doi.org/10.5334/jors.292 Abstract: Metis was developed to allow users to analyze regional and sub-regional multi-sector dynamics by providing a platform to harmonize and amalgamate…
Xuecao Li, Yuyu Zhou, Min Zhao & Xia Zhao DOI: https://doi.org/10.1038/s41597-020-0510-y Abstract: Nighttime light (NTL) data from the Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership satellite provide a great opportunity for monitoring human activities from…
A.V. Di Vittorio, X. Shi, B. Bond‐Lamberty, K. Calvin, A. Jones DOI: https://doi.org/10.1029/2019GB006383 Abstract: Initial land cover distribution varies among Earth system models, an uncertainty in initial conditions that can substantially affect carbon and climate projections. We use the integrated Earth System Model to show that a 3.9 M km2 difference in 2005…