Contrail coverage over the United States before and during the COVID-19 pandemic by Meijer, Vincent R, Kulik, Luke, Eastham, Sebastian D, Allroggen, Florian, Speth, Raymond L, Karaman, Sertac, Barrett, Steven RH

“…We present contrail coverage estimates for the years 2018, 2019 and 2020 for the contiguous United States, derived by developing and applying a deep learning algorithm to over 100 000 satellite images. …”
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An efficient method to estimate renewable energy capacity credit at increasing regional grid penetration levels by Jethro Ssengonzi, Jeremiah X. Johnson, Joseph F. DeCarolis

“…A computational model was built using the effective load carrying capability (ELCC) method to calculate capacity credit values for regions spanning the contiguous United States. As the deployment of VRE increases, we show its marginal contribution to meeting peak load decreases, which in turn requires additional generating capacity to maintain reliability. …”
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Marsh migration and beyond: A scalable framework to assess tidal wetland resilience and support strategic management. by Rachel A Stevens, Suzanne Shull, Jamie Carter, Emily Bishop, Nate Herold, Cory A Riley, Kerstin Wasson

“…We then applied the framework across the contiguous United States using publicly available data, and summarized results at multiple spatial scales, from regions to coastal states to National Estuarine Research Reserves to finer scale marsh units, to demonstrate the framework's value across these scales. …”
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Climatological occurrences of hail and tornadoes associated with mesoscale convective systems in the United States by J. Wang, J. Wang, J. Fan, J. Fan, Z. Feng

“…In this study, radar features associated with MCSs are extracted from a 14-year MCS tracking database across the contiguous United States, and hazard reports are mapped to these MCS features. …”
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Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM_2.5 Prediction by Behzad Kianian, Yang Liu, Howard H. Chang

“…We analyze PM_2.5 and AOD from July 2011 in the contiguous United States. We examine two methods to aid in gap-filling AOD: (1) lattice kriging, a spatial statistical method adapted to handle large amounts data, and (2) random forest, a tree-based machine learning method. …”
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Machine learning based estimation of land productivity in the contiguous US using biophysical predictors by Pan Yang, Qiankun Zhao, Ximing Cai

“…This study provides land productivity estimates in the contiguous United States (CONUS) through a machine learning approach. …”
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Monthly river temperature trends across the US confound annual changes by Christa A Kelleher, Heather E Golden, Stacey A Archfield

“…Though river temperature trend analyses exist in the literature, studies on seasonal trends in river temperatures across large spatial extents, e.g. the contiguous United States (US), are limited. As we show through both annual and monthly trend analyses for 20 year ( n = 138 sites) and 40 year ( n = 40 sites) periods, annual temperature trends across the US mask extensive monthly variability. …”
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Evaluation of Maximum Entropy (Maxent) Machine Learning Model to Assess Relationships between Climate and Corn Suitability by Abigail Fitzgibbon, Dan Pisut, David Fleisher

“…In this study, we used Maxent to model land suitability for corn production in the contiguous United States under current bioclimatic conditions. …”
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Landslide Hazard Assessment in Highway Areas of Guangxi Using Remote Sensing Data and a Pre-Trained XGBoost Model by Yuze Zhang, Lei Deng, Ying Han, Yunhua Sun, Yu Zang, Minlu Zhou

“…We extract geospatial features such as slope, aspect, and rainfall over Guangxi, China, and apply an extreme gradient boosting model pre-trained on contiguous United States datasets. The model produces susceptibility maps that indicate landslide probability at different scales. …”
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Modeling very large-fire occurrences over the continental United States from weather and climate forcing by R Barbero, J T Abatzoglou, E A Steel, Narasimhan K Larkin

“…Empirical generalized linear models of the largest fires (>5000 ha) across the contiguous United States (US) were developed at ∼60 km spatial and weekly temporal resolutions using solely atmospheric predictors. …”
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High resolution synthetic residential energy use profiles for the United States by Swapna Thorve, Young Yun Baek, Samarth Swarup, Henning Mortveit, Achla Marathe, Anil Vullikanti, Madhav Marathe

“…In this paper, we release a unique, large-scale, digital-twin of residential energy-use dataset for the residential sector across the contiguous United States covering millions of households. The data comprise of hourly energy use profiles for synthetic households, disaggregated into Thermostatically Controlled Loads (TCL) and appliance use. …”
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Evaluation of precipitation estimates over CONUS derived from satellite, radar, and rain gauge data sets at daily to annual scales (2002–2012) by O. P. Prat, B. R. Nelson

“…We use a suite of quantitative precipitation estimates (QPEs) derived from satellite, radar, and surface observations to derive precipitation characteristics over the contiguous United States (CONUS) for the period 2002–2012. …”
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Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset by Ge Song, Siwei Li, Jia Xing

“…Through training a well-optimized LightGBM model, we successfully generate spatially continuous (0.25° by 0.25°) and hourly lightning nowcasts over the Contiguous United States (CONUS) during the summer season, surpassing the performance of competitive baselines. …”
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Toward an improved estimation of flood frequency statistics from simulated flows by Lanxin Hu, Efthymios I. Nikolopoulos, Francesco Marra, Emmanouil N. Anagnostou

“…We examined 28 years of simulated daily streamflow across the contiguous United States and compared SMEV to traditional statistical models based on annual maxima. …”
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Automated Water Level Monitoring at the Continental Scale from ICESat-2 Photons by Austin Madson, Yongwei Sheng

“…Of the approximately 6700 lakes and reservoirs larger than 1 km² in the Contiguous United States (CONUS), only ~430 (~6%) are actively gaged by the United States Geological Survey (USGS) or their partners and are available for download through the National Water Information System database. …”
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Long-Term Trends in Root-Zone Soil Moisture across CONUS Connected to ENSO by Kenneth J. Tobin, Roberto Torres, Marvin E. Bennett, Jianzhi Dong, Wade T. Crow

“…This study focused on the CONtiguous United States (CONUS) RZSM (0 to 40 cm depth) over nearly three decades (1992 to 2018). …”
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The Progressive Agriculture Index: Assessing the Advancement of Agri-food Systems by Maizy T. Ludden, Rick Welsh, Evan Weissman, Duncan Hilchey, Gilbert W. Gillespie, Amy Guptill

“…Census, and other databases to assess nine vari­ables at the county level for the contiguous United States. Including data from both 2007 and 2012 permits analysis of time trends along with regional and county-level trends in individual and aggregate measures of progressivity. …”
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A Satellite-Based Approach for Quantifying Terrestrial Water Cycle Intensity by Fabian J. Zowam, Adam M. Milewski, David F. Richards IV

“…In this study, a satellite-based WCI was tested by comparing the parameter-elevation regressions on independent slopes model (PRISM) precipitation estimates with those of the Global Precipitation Measurement (GPM) satellite mission across the contiguous United States (CONUS), based on an existing Köppen–Geiger climate classification for the CONUS. …”
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A storm-centered multivariate modeling of extreme precipitation frequency based on atmospheric water balance by Y. Liu, D. B. Wright

“…We developed a storm tracking and regional characterization (STARCH) method to identify precipitation systems in space and time from hourly ERA5 precipitation fields over the contiguous United States from 1951 to 2020. Extreme “storm catalogs” were created by selecting annual maximum storms with specific areas and durations over a chosen region. …”
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Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation by Ahmed W. Moawad, Ali Morshid, Ahmed M. Khalaf, Mohab M. Elmohr, John D. Hazle, David Fuentes, Mohamed Badawy, Ahmed O. Kaseb, Manal Hassan, Armeen Mahvash, Janio Szklaruk, Aliyya Qayyum, Abdelrahman Abusaif, William C. Bennett, Tracy S. Nolan, Brittney Camp, Khaled M. Elsayes

“…Measurement(s) Image Segmentation • hepatocellular carcinoma Technology Type(s) Neural Network • Multiphasic Computed Tomography of the Abdomen Sample Characteristic - Organism multiphasic CT of the abdomen Sample Characteristic - Location contiguous United States of America…”
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