Artificial light at night is a top predictor of bird migration stopover density by Kyle G. Horton, Jeffrey J. Buler, Sharolyn J. Anderson, Carolyn S. Burt, Amy C. Collins, Adriaan M. Dokter, Fengyi Guo, Daniel Sheldon, Monika Anna Tomaszewska, Geoffrey M. Henebry

“…Here, we leverage over 10 million remote sensing observations to develop seasonal contiguous United States layers of bird migrant stopover density. …”
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The Lexicocalorimeter: Gauging public health through caloric input and output on social media by Alajajian, Sharon E., Williams, Jake Ryland, Reagan, Andrew J., Alajajian, Stephen C., Mitchell, Lewis, Lahne, Jacob, Danforth, Christopher M., Dodds, Peter Sheridan, Frank, Morgan Ryan

“…We show that for Twitter, our naive measures of “caloric input”, “caloric output”, and the ratio of these measures are all strong correlates with health and well-being measures for the contiguous United States. Our caloric balance measure in many cases outperforms both its constituent quantities; is tunable to specific health and well-being measures such as diabetes rates; has the capability of providing a real-time signal reflecting a population’s health; and has the potential to be used alongside traditional survey data in the development of public policy and collective self-awareness. …”
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SMAP Soil Moisture Change as an Indicator of Drought Conditions by Eswar, Rajasekaran, Das, Narendra N., Poulsen, Calvin, Behrangi, Ali, Swigart, John, Svoboda, Mark, Yueh, Simon, Doorn, Bradley, Entin, Jared, Rajasekaran, Eswar, Das, Narendra, Entekhabi, Dara

“…The change in soil moisture estimated from the Soil Moisture Active Passive (SMAP) satellite observations was compared with the United States Drought Monitor (USDM) and the Standardized Precipitation Index (SPI) over the contiguous United States (CONUS). The results indicated that the soil moisture change over 13-week and 26-week intervals is able to capture the changes in drought intensity levels in the USDM, and the change over a four-week interval correlated well with the one-month SPI values. …”
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Climate's watermark in the geometry of stream networks by Kirchner, James W., Seybold, Hansjorg, Rothman, Daniel H.

“…Here we analyze nearly one million digitally mapped river junctions throughout the contiguous United States and show that branching angles vary systematically with climatic aridity. …”
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Analysis of spatiotemporal patterns of significant tornado damages in the United States by Dong, Luojie

“…It is discovered that within the contiguous United States, the ratio of damage caused by the top 1% most costly tornadoes shows an upward trend from the year 1970 to 2023. …”
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Exposure of the US population to extreme precipitation risk has increased due to climate change by Jungho Kim, Jeremy Porter, Edward J. Kearns

“…Here, we address how severe the change in extreme precipitation compares against the current national standard for precipitation climatology (NOAA Atlas 14) and how much of the population is affected by the underestimation of this risk in the contiguous United States (CONUS). As a result, extreme precipitation in the early twenty-first century has outpaced our current national standard in half of CONUS, and the heavy precipitation events experienced recently are quickly becoming a “new normal”, which will increase in severity and frequency in a continually changing climate. …”
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Large mitigation potential of smoke PM2.5 in the US from human-ignited fires by Therese S Carter, Colette L Heald, Noelle E Selin

“…We analyze how fires associated with human ignitions (agricultural fires and human-initiated wildfires) impact fire particulate matter under 2.5 µ m (PM _2.5 ) concentrations in the contiguous United States (CONUS) from 2003 to 2018. We find that these agricultural and human-initiated wildfires dominate fire PM _2.5 in both a high fire and human ignition year (2018) and low fire and human ignition year (2003). …”
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A Gridded Solar Irradiance Ensemble Prediction System Based on WRF-Solar EPS and the Analog Ensemble by Stefano Alessandrini, Ju-Hye Kim, Pedro A. Jimenez, Jimy Dudhia, Jaemo Yang, Manajit Sengupta

“…The WRF-Solar Ensemble Prediction System (WRF-Solar EPS) and a calibration method, the analog ensemble (AnEn), are used to generate calibrated gridded ensemble forecasts of solar irradiance over the contiguous United States (CONUS). Global horizontal irradiance (GHI) and direct normal irradiance (DNI) retrievals, based on geostationary satellites from the National Solar Radiation Database (NSRDB) are used for both calibrating and verifying the day-ahead GHI and DNI predictions (GDIP). …”
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The sensitivity of US wildfire occurrence to pre-season soil moisture conditions across ecosystems by Daniel Jensen, John T Reager, Brittany Zajic, Nick Rousseau, Matthew Rodell, Everett Hinkley

“…Here we apply model simulations of surface soil moisture that numerically assimilate observations from NASA’s Gravity Recovery and Climate Experiment (GRACE) mission with the USDA Forest Service’s historical Fire-Occurrence Database over the contiguous United States. We quantify the relationships between pre-fire-season soil moisture and subsequent-year wildfire occurrence by land-cover type and produce annual probable wildfire occurrence and burned area maps at 0.25 degree resolution. …”
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Changes of crop failure risks in the United States associated with large-scale climate oscillations in the Atlantic and Pacific Oceans by Tayler A Schillerberg, Di Tian

“…Regions that produce a large supply of agriculture commodities can be susceptible to crop failure, thus causing concern for global food security. The contiguous United States, as one of the major agricultural producers in the world, is influenced by several large-scale climate oscillations that contribute to climate variability: Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO), El-Niño Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO) and Pacific-North American (PNA). …”
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DETECTING SPATIAL PATTERNS OF NATURAL HAZARDS FROM THE WIKIPEDIA KNOWLEDGE BASE by J. Fan, K. Stewart

“…Over 230,000 geo-tagged articles are then extracted from the Wikipedia database, spatially covering the contiguous United States. The geo-tagged articles are converted into an LDA topic space based on the topic model, with each article being represented as a weighted multidimension topic vector. …”
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A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing by Matin Rahnamay Naeini, Tiantian Yang, Ahmad Tavakoly, Bita Analui, Amir AghaKouchak, Kuo-lin Hsu, Soroosh Sorooshian

“…The application of the algorithm is demonstrated through simulation of controlled discharge from several reservoirs across the Contiguous United States (CONUS).…”
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Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States. by Sophie M Woodward, Daniel Mork, Xiao Wu, Zhewen Hou, Danielle Braun, Francesca Dominici

“…In this paper, we augment county-level COVID-19 mortality data with a nationally representative sample of individual-level covariate information from the American Community Survey along with high-resolution estimates of PM2.5 concentrations obtained from a validated model and aggregated to the census tract for the contiguous United States. We apply a Bayesian hierarchical modeling approach to combine county-, census tract-, and individual-level data to ultimately draw inference about individual-level associations between long-term exposure to PM2.5 and mortality for COVID-19. …”
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National-scale remotely sensed lake trophic state from 1984 through 2020 by Michael F. Meyer, Simon N. Topp, Tyler V. King, Robert Ladwig, Rachel M. Pilla, Hilary A. Dugan, Jack R. Eggleston, Stephanie E. Hampton, Dina M. Leech, Isabella A. Oleksy, Jesse C. Ross, Matthew R. V. Ross, R. Iestyn Woolway, Xiao Yang, Matthew R. Brousil, Kate C. Fickas, Julie C. Padowski, Amina I. Pollard, Jianning Ren, Jacob A. Zwart

“…We used Landsat surface reflectance data to create the first compendium of annual lake trophic state for 55,662 lakes of at least 10 ha in area throughout the contiguous United States from 1984 through 2020. The dataset was constructed with FAIR data principles (Findable, Accessible, Interoperable, and Reproducible) in mind, where data are publicly available, relational keys from parent datasets are retained, and all data wrangling and modeling routines are scripted for future reuse. …”
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Merging Satellite and Gauge-Measured Precipitation Using LightGBM With an Emphasis on Extreme Quantiles by Hristos Tyralis, Georgia Papacharalampous, Nikolaos Doulamis, Anastasios Doulamis

“…To assess LightGBM, we contribute a large-scale application that includes merging daily precipitation measurements in contiguous United States with PERSIANN and GPM-IMERG satellite precipitation data. …”
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Climate change greatly escalates forest disturbance risks to US property values by William R L Anderegg, Timothy Collins, Sara Grineski, Sarah Nicholls, Christoph Nolte

“…Here, we combine models for three major climate-sensitive disturbances (i.e., wildfire, climate stress-driven tree mortality, and insect-driven tree mortality), future climate projections of these disturbances, and high-resolution property values data to quantify the spatiotemporal exposure of property values to disturbance across the contiguous United States (US). We find that property values exposed to these climate-sensitive disturbances increase sharply in future climate scenarios, particularly in existing high-risk regions of the western US, and that novel exposure risks emerge in some currently lower-risk regions such as the southeast and Great Lakes regions. …”
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A climatic deconstruction of recent drought trends in the United States by Darren L Ficklin, Justin T Maxwell, Sally L Letsinger, Hamed Gholizadeh

“…We present high spatial-resolution trends of the Palmer drought severity index (PDSI), potential evapotranspiration (PET), and selected climate variables from 1979–2013 for the contiguous United States in order to gain an understanding of recent drought trends and their climatic forcings. …”
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00001 Demographic disparities in proximity to stroke care in the United States by Cathy Y. Yu, Timothy Blaine, Peter Panagos, Akash P. Kansagra

“…Population data for all census tracts in the contiguous United States were obtained from the US Census Bureau’s 2014-2018 American Community Survey. …”
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Did a skillful prediction of near-surface temperatures help or hinder forecasting of the 2012 US drought? by Jonghun Kam, Sungyoon Kim, Joshua K Roundy

“…Here, the forecasting skill was measured by anomaly correlation coefficient (ACC) between the observed and forecasted precipitation (PREC)/2-meter air temperature (T2m) anomalies over the contiguous United States (CONUS) during 1982–2012. The strength of the T2m–PREC coupling was measured by ACC between observed PREC and T2m or forecasted PREC and T2m over the CONUS. …”
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Spatial comparison of inland water observations from CYGNSS, MODIS, Landsat, and commercial satellite imagery by G. K. Pavur, H. Kim, B. Fang, V. Lakshmi

“…This study conducts a baseline 1-km comparison of water masks for the contiguous United States between latitudes of 24°N-37°N for 2019 using three Earth observation systems: CYGNSS (i.e., our baseline water mask data), the Moderate Resolution Imaging Spectroradiometer (MODIS) (i.e., land water mask data), and the Landsat Global Surface Water product (i.e., Pekel data). …”
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