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The Orinoco Low-Level Jet: An Investigation of Its Mechanisms of Formation Using the WRF Model 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (13)
作者:  Jimenez-Sanchez, Giovanni;  Markowski, Paul M.;  Young, George S.;  Stensrud, David J.
收藏  |  浏览/下载：9/0  |  提交时间：2020/08/18
Orinoco low-level jet  forcing mechanisms  dynamical downscaling  momentum balance analysis  LLJs near the equator may originate from processes other than the inertial oscillation  LLJs near the equator may originate from processes other than topographic thermal forcing  
Modeling Spatial Heterogeneity in Surface Turbulent Heat Flux in the US Southern Great Plains 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (13)
作者:  Williams, Ian N.;  Lee, Jungmin M.;  Tadic, Jovan;  Zhang, Yunyan;  Chu, Housen
收藏  |  浏览/下载：10/0  |  提交时间：2020/08/18
Acquiring environmental flows: ecological economics of policy development in western US 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Colby, Bonnie
收藏  |  浏览/下载：10/0  |  提交时间：2020/08/18
Environmental flows  Markets  Water trading  Institutions  Conflict resolution  Patrimony  Social Ecological Economics of Water  Punctuated Equilibrium Theory  
Low-impact land use pathways to deep decarbonization of electricity 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Wu, Grace C.;  Leslie, Emily;  Sawyerr, Oluwafemi;  Cameron, D. Richard;  Brand, Erica;  Cohen, Brian;  Allen, Douglas;  Ochoa, Marcela;  Olson, Arne
收藏  |  浏览/下载：8/0  |  提交时间：2020/08/18
renewable energy  deep decarbonization  land use  conservation  solar energy  wind energy  siting  
What are the best combinations of fuel-vehicle technologies to mitigate climate change and air pollution effects across the United States? 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Tong, Fan;  Azevedo, Ines M. L.
收藏  |  浏览/下载：9/0  |  提交时间：2020/08/18
alternative vehicle technology  climate change damages  health damages  environmental externality  passenger car  sports utility vehicle  transit bus  
Identifying a regional aerosol baseline in the eastern North Atlantic using collocated measurements and a mathematical algorithm to mask high-submicron-number-concentration aerosol events 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (12) : 7553-7573
作者:  Gallo, Francesca;  Uin, Janek;  Springston, Stephen;  Wang, Jian;  Zheng, Guangjie;  Kuang, Chongai;  Wood, Robert;  Azevedo, Eduardo B.;  McComiskey, Allison;  Mei, Fan;  Theisen, Adam;  Kyrouac, Jenni;  Aiken, Allison C.
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/06
Updraft and Downdraft Core Size and Intensity as Revealed by Radar Wind Profilers: MCS Observations and Idealized Model Comparisons 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (11)
作者:  Wang, Die;  Giangrande, Scott E.;  Feng, Zhe;  Hardin, Joseph C.;  Prein, Andreas F.
收藏  |  浏览/下载：15/0  |  提交时间：2020/08/18
mesoscale convective system  radar wind profiler  vertical velocity  Weather Research and Forecasting model  mass flux  convective draft  
Mobile Laboratory Measurements of High Surface Ozone Levels and Spatial Heterogeneity During LISTOS 2018: Evidence for Sea Breeze Influence 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (11)
作者:  Zhang, Jie;  Ninneman, Matthew;  Joseph, Everette;  Schwab, Margaret J.;  Shrestha, Bhupal;  Schwab, James J.
收藏  |  浏览/下载：5/0  |  提交时间：2020/08/18
LISTOS  sea breeze  ozone gradients  on-road measurements  
Changes of crop failure risks in the United States associated with large-scale climate oscillations in the Atlantic and Pacific Oceans 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Schillerberg, Tayler A.;  Tian, Di
收藏  |  浏览/下载：11/0  |  提交时间：2020/08/18
climate oscillation  crop failure  Bayesian analysis  maize  winter wheat  the United States  
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Kang, Yanghui;  Ozdogan, Mutlu;  Zhu, Xiaojin;  Ye, Zhiwei;  Hain, Christopher;  Anderson, Martha
收藏  |  浏览/下载：15/0  |  提交时间：2020/07/02
crop yields  climate impact  machine learning  deep learning  data-driven