Search Results - "Davenport, Frances V."

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  1. 1

    Combining Neural Networks and CMIP6 Simulations to Learn Windows of Opportunity for Skillful Prediction of Multiyear Sea Surface Temperature Variability by Davenport, Frances V., Barnes, Elizabeth A., Gordon, Emily M.

    Published in Geophysical research letters (16-06-2024)
    “…We use neural networks and large climate model ensembles to explore predictability of internal variability in sea surface temperature (SST) anomalies on…”
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    Journal Article
  2. 2

    Historical warming has increased U.S. crop insurance losses by Diffenbaugh, Noah S, Davenport, Frances V, Burke, Marshall

    Published in Environmental research letters (01-08-2021)
    “…Abstract Quantification of the sector-specific financial impacts of historical global warming represents a critical gap in climate change impacts assessment…”
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  3. 3

    On the impossibility of extreme event thresholds in the absence of global warming by Diffenbaugh, Noah S, Davenport, Frances V

    Published in Environmental research letters (01-11-2021)
    “…Abstract The exceptional severity of recent climate extremes has raised the question of whether some events would have been impossible in the absence of global…”
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  4. 4

    Exploring the Influence of Summer Temperature on Human Mobility During the COVID‐19 Pandemic in the San Francisco Bay Area by Ly, Amina, Davenport, Frances V., Diffenbaugh, Noah S.

    Published in Geohealth (01-06-2023)
    “…Studies on the relationship between temperature and local, small scale mobility are limited, and sensitive to the region and time period of interest. We…”
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  5. 5

    Using Machine Learning With Partial Dependence Analysis to Investigate Coupling Between Soil Moisture and Near‐Surface Temperature by Trok, Jared T., Davenport, Frances V., Barnes, Elizabeth A., Diffenbaugh, Noah S.

    “…Soil moisture (SM) influences near‐surface air temperature by partitioning downwelling radiation into latent and sensible heat fluxes, through which dry soils…”
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  6. 6

    Contribution of historical precipitation change to US flood damages by Davenport, Frances V., Burke, Marshall, Diffenbaugh, Noah S.

    “…Precipitation extremes have increased across many regions of the United States, with further increases anticipated in response to additional global warming…”
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  7. 7

    Flood Size Increases Nonlinearly Across the Western United States in Response to Lower Snow‐Precipitation Ratios by Davenport, Frances V., Herrera‐Estrada, Julio E., Burke, Marshall, Diffenbaugh, Noah S.

    Published in Water resources research (01-01-2020)
    “…Many mountainous and high‐latitude regions have experienced more precipitation as rain rather than snow due to warmer winter temperatures. Further decreases in…”
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  8. 8

    Diverse Physical Processes Drive Upper‐Tail Flood Quantiles in the US Mountain West by Yu, Guo, Wright, Daniel B., Davenport, Frances V.

    Published in Geophysical research letters (28-05-2022)
    “…Floods in the mountainous western U.S. typically arise from rainfall, snowmelt, or rain‐on‐snow (ROS). This implies that streamflow records comprise “mixtures”…”
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  9. 9

    Quantifying the Effect of Precipitation on Landslide Hazard in Urbanized and Non‐Urbanized Areas by Johnston, Elizabeth C., Davenport, Frances V., Wang, Lijing, Caers, Jef K., Muthukrishnan, Suresh, Burke, Marshall, Diffenbaugh, Noah S.

    Published in Geophysical research letters (28-08-2021)
    “…Although most landslides are precipitation‐triggered, a number of other complex conditions simultaneously predispose any given slope to failure, with the…”
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  10. 10

    Emergent Constraints on the Large-Scale Atmospheric Circulation and Regional Hydroclimate: Do They Still Work in CMIP6 and How Much Can They Actually Constrain the Future? by Simpson, Isla R., McKinnon, Karen A., Davenport, Frances V., Tingley, Martin, Lehner, Flavio, Fahad, Abdullah Al, Chen, Di

    Published in Journal of climate (01-08-2021)
    “…An emergent constraint (EC) is a statistical relationship, across a model ensemble, between a measurable aspect of the present-day climate (the predictor) and…”
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  11. 11

    Machine learning-based extreme event attribution by Trok, Jared T, Barnes, Elizabeth A, Davenport, Frances V, Diffenbaugh, Noah S

    Published in Science advances (23-08-2024)
    “…The observed increase in extreme weather has prompted recent methodological advances in extreme event attribution. We propose a machine learning-based approach…”
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  12. 12

    Using Machine Learning to Analyze Physical Causes of Climate Change: A Case Study of U.S. Midwest Extreme Precipitation by Davenport, Frances V., Diffenbaugh, Noah S.

    Published in Geophysical research letters (16-08-2021)
    “…While global warming has generally increased the occurrence of extreme precipitation, the physical mechanisms by which climate change alters regional and local…”
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