A machine learning interpretation of the correlation between poverty and air pollution in the contiguous United States by Sajeev Magesh, Kevin Geng

“…Abstract The correlation between poverty and air pollution in the contiguous United States is a widely debated issue, often suggesting that impoverished areas suffer higher pollution levels due to socioeconomic disparities. …”
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Dynamical Downscaling of Climate Change Impacts on Wind Energy Resources in the Contiguous United States by Using a Limited-Area Model with Scale-Selective Data Assimilation by Bin Liu, Katelyn B. Costa, Lian Xie, Fredrick H. M. Semazzi

“…By using a limited-area model (LAM) in combination with the scale-selective data assimilation (SSDA) approach, wind energy resources in the contiguous United States (CONUS) were downscaled from IPCC CCSM3 global model projections for both current and future climate conditions. …”
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Smartirrigation Apps: Urban Turf by Haimanote Bayabil, Kati W Migliaccio, Jose J.H. Debastiani Andreis, Clyde W. Fraisse, Kelly T. Morgan, George Vellidis

“…The app was only available for Florida and Georgia, but recently, we have made improvements to the app and made it available to any location throughout the contiguous United States. The 7-page major revision, written by Haimanote K. …”
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Smartirrigation Apps: Urban Turf by Haimanote Bayabil, Kati W Migliaccio, Jose J.H. Debastiani Andreis, Clyde W. Fraisse, Kelly T. Morgan, George Vellidis

“…The app was only available for Florida and Georgia, but recently, we have made improvements to the app and made it available to any location throughout the contiguous United States. The 7-page major revision, written by Haimanote K. …”
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An Introduction to USGS Topo Maps by Hartwig Hochmair, Adam Benjamin

“…Unlike traditional topographic maps, the US Topo product is automatically generated from national map databases with topographic maps and produced every three years for all 48 of the contiguous United States, Hawaii, and the United States territories. …”
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An Introduction to USGS Topo Maps by Hartwig Hochmair, Adam Benjamin

“…Unlike traditional topographic maps, the US Topo product is automatically generated from national map databases with topographic maps and produced every three years for all 48 of the contiguous United States, Hawaii, and the United States territories. …”
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Variation in Photovoltaic Energy Rating and Underlying Drivers Across Modules and Climates by Kevin S. Anderson, Joshua S. Stein, Marios Theristis

“…This study uses the Climate Specific Energy Rating (CSER) and specific yield metrics as criteria to determine how different PV modules perform across climates in the contiguous United States (CONUS) and identifies the underlying drivers behind the observed variations. …”
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Diurnal Variation of Seasonal Precipitation over the CONUS: A Comparison of Gauge Observations with TRMM Data by Liming Zhu, Yu Zhao, Xiaoping Rui, Qingwei Wei

“…According to these maps, the diurnal variation of precipitation over the contiguous United States (CONUS) presents seasonal variability in both gauge observations and TRMM data. …”
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Short‐Term Memory and Regional Climate Drive City‐Scale Water Demand in the Contiguous US by Wenjin Hao, Andrea Cominola, Andrea Castelletti

“…In this paper, we explore the complex web of causality between climatic and socio‐demographic determinants, and urban water demand patterns across the Contiguous United States (CONUS). We develop a causal discovery framework based on a Neural Granger Causal (NGC) model, a machine learning approach that identifies nonlinear causal relationships between determinants and water demand, enabling comprehensive water demand determinants discovery and water demand forecasting across the CONUS. …”
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Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study by X. Zheng, D. Liu, S. Huang, H. Wang, X. Meng

“…We examined the efficiency of the PHPM-MDCF and the distribution of residuals across 475 contiguous United States (CONUS) basins selected by hydrological simulation reliability. …”
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Climate change hazard index reveals combined risks to United States drinking water utilities by Zia J Lyle, Jeanne M VanBriesen, Constantine Samaras

“…We use climate change mid-century projections to assess seven hazards for 42 786 utility systems (serving 283 million people) across the contiguous United States and develop a combined climate hazard index that allows for risk comparisons. …”
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Do land models miss key soil hydrological processes controlling soil moisture memory? by M. A. Farmani, A. Behrangi, A. Behrangi, A. Gupta, A. Tavakoly, A. Tavakoly, M. Geheran, G.-Y. Niu

“…We compare SMMs computed from various Noah-MP configurations against that derived from the Soil Moisture Active Passive (SMAP) L3 soil moisture and in situ measurements from the International Soil Moisture Network (ISMN) from the years 2015 to 2019 over the contiguous United States (CONUS). The results suggest that (1) soil hydraulics plays a dominant role and the Van Genuchten hydraulic scheme reduces the overestimation of the long-term surface SMM produced by the Brooks–Corey scheme, which is commonly used in LSMs; (2) explicitly representing surface ponding enhances SMM for both the surface layer and the root zone; and (3) representing preferential flow improves the overall representation of soil moisture dynamics. …”
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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

“…AmeriFlux is a network of hundreds of sites across the contiguous United States providing tower-based ecosystem-scale carbon dioxide flux measurements at 30 min temporal resolution. …”
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Informing grassland ecosystem modeling with in-situ and remote sensing observations by Johny Arteaga, Melannie D Hartman, William J Parton, Maosi Chen, Wei Gao

“…We simulated historical grassland aboveground plant productivity (ANPP) across the midwestern and western contiguous United States using the DayCent-UV ecosystem model. …”
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LoSI: Large Scale Location Inference Through FM Signal Integration and Estimation by Tathagata Mukherjee, Piyush Kumar, Debdeep Pati, Erik Blasch, Eduardo Pasiliao, Liqin Xu

“…The algorithm uses a large-scale model estimation phase that computes the expected FM spectrum in small rectangular cells (realized using geohashes) across the Contiguous United States (CONUS). We define and use Dominant Channel Descriptor (DCD) features, which can be used for positioning using time varying models. …”
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