M
Melissa Wagner
Researcher at Arizona State University
Publications - 21
Citations - 500
Melissa Wagner is an academic researcher from Arizona State University. The author has contributed to research in topics: Tornado & Bioenergy. The author has an hindex of 9, co-authored 19 publications receiving 359 citations. Previous affiliations of Melissa Wagner include Cooperative Institute for Mesoscale Meteorological Studies & University of Oklahoma.
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Journal ArticleDOI
A Global Geospatial Ecosystem Services Estimate of Urban Agriculture
Nicholas Clinton,Nicholas Clinton,Michelle Stuhlmacher,Albie Miles,Albie Miles,Nazli Uludere Aragon,Melissa Wagner,Matei Georgescu,Chris Herwig,Peng Gong,Peng Gong +10 more
TL;DR: In this article, the authors introduce a quantitative framework to assess global aggregate ecosystem services from existing vegetation in cities and an intensive urban agriculture adoption scenario based on data-driven estimates of urban morphology and vacant land.
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Adaptive capacity in light of Hurricane Sandy: The need for policy engagement
TL;DR: In this article, a synthesis of multi-disciplinary expert knowledge and admonition from civil engineers, climatologists, and urban planners demonstrates the significance of mobilizing knowledge to design robust socio-ecological systems.
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Validation of seasonal mean radiant temperature simulations in hot arid urban climates.
TL;DR: Seasonal RayMan and ENVI-met mean radiant temperature simulations are validated to demonstrate that models should not be used under micrometeorological or morphological extremes without in-situ validation to quantify errors and assess directional bias due to model limitations.
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On the long-term hydroclimatic sustainability of perennial bioenergy crop expansion over the United States
M. Wang,Melissa Wagner,Gonzalo Miguez-Macho,Yiannis Kamarianakis,Alex Mahalov,Mohamed Moustaoui,J. N. Miller,Andy VanLoocke,Justin E. Bagley,Carl J. Bernacchi,Carl J. Bernacchi,Matei Georgescu +11 more
TL;DR: In this article, a suite of continuous (2000-09) medium-range resolution ensemble-based simulations is conducted using seasonally evolving biophysical representation of perennial bioenergy cropping systems within the LSM based on observational data.