Search Results - "Lucas, Donald D."

Future loss of Arctic sea-ice cover could drive a substantial decrease in California’s rainfall by Cvijanovic, Ivana, Santer, Benjamin D., Bonfils, Céline, Lucas, Donald D., Chiang, John C. H., Zimmerman, Susan

“…From 2012 to 2016, California experienced one of the worst droughts since the start of observational records. As in previous dry periods,…”
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Bayesian inverse modeling of the atmospheric transport and emissions of a controlled tracer release from a nuclear power plant by Lucas, Donald D, Simpson, Matthew, Cameron-Smith, Philip, Baskett, Ronald L

“…Probability distribution functions (PDFs) of model inputs that affect the transport and dispersion of a trace gas released from a coastal California nuclear…”
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Predicting wind-driven spatial deposition through simulated color images using deep autoencoders by Fernández-Godino, M. Giselle, Lucas, Donald D., Kong, Qingkai

“…For centuries, scientists have observed nature to understand the laws that govern the physical world. The traditional process of turning observations into…”
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Learning to Correct Climate Projection Biases by Pan, Baoxiang, Anderson, Gemma J., Goncalves, André, Lucas, Donald D., Bonfils, Céline J. W., Lee, Jiwoo, Tian, Yang, Ma, Hsi‐Yen

“…The fidelity of climate projections is often undermined by biases in climate models due to their simplification or misrepresentation of unresolved climate…”
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Improving Seasonal Forecast Using Probabilistic Deep Learning by Pan, Baoxiang, Anderson, Gemma J., Goncalves, André, Lucas, Donald D., Bonfils, Céline J. W., Lee, Jiwoo

“…The path toward realizing the potential of seasonal forecasting and its socioeconomic benefits relies on improving general circulation model (GCM) based…”
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Machine Learning Emulation of Spatial Deposition from a Multi-Physics Ensemble of Weather and Atmospheric Transport Models by Gunawardena, Nipun, Pallotta, Giuliana, Simpson, Matthew, Lucas, Donald D.

“…In the event of an accidental or intentional hazardous material release in the atmosphere, researchers often run physics-based atmospheric transport and…”
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Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model by Gowardhan, Akshay A., McGuffin, Dana L., Lucas, Donald D., Neuscamman, Stephanie J., Alvarez, Otto, Glascoe, Lee G.

“…Fast and accurate predictions of the flow and transport of materials in urban and complex terrain areas are challenging because of the heterogeneity of…”
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Regional assessment of the parameter-dependent performance of CAM4 in simulating tropical clouds by Zhang, Yuying, Xie, Shaocheng, Covey, Curt, Lucas, Donald D., Gleckler, Peter, Klein, Stephen A., Tannahill, John, Doutriaux, Charles, Klein, Richard

“…Representation of clouds remains among the largest uncertainties in climate models and thus climate projections. Clouds vary significantly over different…”
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Autumn Surface Wind Trends over California during 1979–2020 by Callum F. Thompson, Charles Jones, Leila Carvalho, Anna T. Trugman, Donald D. Lucas, Daisuke Seto, Kevin Varga

“…Surface winds over California can compound fire risk during autumn, yet their long-term trends in the face of decadal warming are less clear compared to other…”
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Evaluating aerosol nucleation parameterizations in a global atmospheric model by Lucas, Donald D., Akimoto, Hajime

“…Numerically efficient parameterizations based on theories of binary, ternary and ion‐induced aerosol nucleation (BN, TN and IN) enable online calculations of…”
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Anthropogenic climate change impacts exacerbate summer forest fires in California by Turco, Marco, Abatzoglou, John T, Herrera, Sixto, Zhuang, Yizhou, Jerez, Sonia, Lucas, Donald D, AghaKouchak, Amir, Cvijanovic, Ivana

“…Record-breaking summer forest fires have become a regular occurrence in California. Observations indicate a fivefold increase in summer burned area (BA) in…”
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Machine Learning Predictions of a Multiresolution Climate Model Ensemble by Anderson, Gemma J., Lucas, Donald D.

“…Statistical models of high‐resolution climate models are useful for many purposes, including sensitivity and uncertainty analyses, but building them can be…”
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Impact of meteorological inflow uncertainty on tracer transport and source estimation in urban atmospheres by Lucas, Donald D., Gowardhan, Akshay, Cameron-Smith, Philip, Baskett, Ronald L.

“…A computational Bayesian inverse technique is used to quantify the effects of meteorological inflow uncertainty on tracer transport and source estimation in a…”
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Sensitivities of gas-phase dimethylsulfide oxidation products to the assumed mechanisms in a chemical transport model by Lucas, Donald D., Prinn, Ronald G.

“…The gas‐phase products of dimethylsulfide (DMS) oxidation are simulated in the global 3D Model of Atmospheric Transport and Chemistry (MATCH). The focus is on…”
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Mechanistic studies of dimethylsulfide oxidation products using an observationally constrained model by Lucas, Donald D., Prinn, Ronald G.

“…A one‐dimensional model of dimethylsulfide (DMS) oxidation chemistry and simultaneous observations from Flight 24 of the First Aerosol Characterization…”
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International challenge to model the long-range transport of radioxenon released from medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty monitoring stations by Maurer, Christian, Baré, Jonathan, Kusmierczyk-Michulec, Jolanta, Crawford, Alice, Eslinger, Paul W., Seibert, Petra, Orr, Blake, Philipp, Anne, Ross, Ole, Generoso, Sylvia, Achim, Pascal, Schoeppner, Michael, Malo, Alain, Ringbom, Anders, Saunier, Olivier, Quèlo, Denis, Mathieu, Anne, Kijima, Yuichi, Stein, Ariel, Chai, Tianfeng, Ngan, Fong, Leadbetter, Susan J., De Meutter, Pieter, Delcloo, Andy, Britton, Rich, Davies, Ashley, Glascoe, Lee G., Lucas, Donald D., Simpson, Matthew D., Vogt, Phil, Kalinowski, Martin, Bowyer, Theodore W.

“…After performing a first multi-model exercise in 2015 a comprehensive and technically more demanding atmospheric transport modelling challenge was organized in…”
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Deep convolutional autoencoders as generic feature extractors in seismological applications by Kong, Qingkai, Chiang, Andrea, Aguiar, Ana C., Fernández-Godino, M. Giselle, Myers, Stephen C., Lucas, Donald D.

“…The idea of using a deep autoencoder to encode seismic waveform features and then use them in different seismological applications is appealing. In this paper,…”
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Uncertainty Analysis of Simulations of the Turn‐of‐the‐Century Drought in the Western United States by Anderson, Gemma J., Lucas, Donald D., Bonfils, Céline

“…We perform the first uncertainty quantification analysis of the turn‐of‐the‐century drought in the western United States using a large perturbed‐parameter…”
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Efficient screening of climate model sensitivity to a large number of perturbed input parameters by Covey, Curt, Lucas, Donald D., Tannahill, John, Garaizar, Xabier, Klein, Richard

“…Modern climate models contain numerous input parameters, each with a range of possible values. Since the volume of parameter space increases exponentially with…”
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Sensitivity of a Bayesian source-term estimation model to spatiotemporal sensor resolution by Jensen, Derek D., Lucas, Donald D., Lundquist, Katherine A., Glascoe, Lee G.

“…Source-term estimation (STE) methods attempt to calculate the most-likely source characteristics of an atmospheric release given concentration observations…”
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