NR
Member Since 2003
Nicole S. Riemer
Professor, University of Illinois at Urbana-Champaign
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Appreciation of Peer Reviewers for 2023
JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES
24 april 2024
Yafang Cheng, Rong Fu, Christian George, Filippo G...
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Improving BC Mixing State and CCN Activity Representation With Machine Learning in the Community Atmosphere Model Version 6 (CAM6)
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
23 january 2024
Wenxiang Shen, Minghuai Wang, Nicole S. Riemer, Zh...
Representing mixing state of black carbon (BC) is challenging for global climate models (GCMs). The Community Atmosphere Model version 6 (CAM6) wit...
Multiphase chemical kinetics representation in a particle-resolved model with inhomogeneous aerosol composition
ONLINE POSTER SESSION FOR ATMOSPHERIC SCIENCES: ATMOSPHERIC CHEMISTRY II
atmospheric sciences | 22 january 2024
Jessica Gasparik, Daniel A. Knopf, Nicole S. Rieme...
During atmospheric transport, particles undergo physicochemical transformation by reactive and non-reactive uptake of gas species. These multiphase ch...
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Atmospheric chemistry surrogate modeling with sparse identification of nonlinear dynamics
DATA-DRIVEN METHODS FOR QUANTIFYING ATMOSPHERIC COMPOSITION: ADVANCES IN COMPUTATION AND STATISTICAL LEARNING III POSTER
atmospheric sciences | 12 december 2023
Xiaokai Yang, Lin Guo, Zhonghua Zheng, Nicole S. R...
Modeling atmospheric chemistry is computationally expensive and limits the widespread use of atmospheric chemical transport models. This computation c...
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Improving Representations of BC Mixing State, CCN Activity and Optical Absorption with Machine Learning in the Community Atmosphere Model Version 6 (CAM6)
ATMOSPHERIC AEROSOL PROCESSES AND IMPACTS ACROSS SCALES: INSIGHTS INTO PROPERTIES, MULTIPHASE PROCESSES, AIR QUALITY, CLIMATE, AND HEALTH I ORAL
atmospheric sciences | 12 december 2023
Wenxiang Shen, Minghuai Wang, Nicole S. Riemer, Zh...
Representing the mixing state of black carbon (BC) is challenging for global climate models (GCMs). The Community Atmosphere Model version 6 (CAM6) wi...
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Chemical Surrogate Modeling with Uncertainty Quantification Using Ensemble SINDy
DATA-DRIVEN METHODS FOR QUANTIFYING ATMOSPHERIC COMPOSITION: ADVANCES IN COMPUTATION AND STATISTICAL LEARNING III POSTER
atmospheric sciences | 12 december 2023
Lin Guo, Xiaokai Yang, Zhonghua Zheng, Nicole S. R...
The Sparse Identification of Nonlinear Dynamics (SINDy) framework has shown promise in emulating the dynamics of differential equations. In this study...
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A combined cloud chamber and single-particle micro-spectroscopic investigation of soil-dust particles serving as ice-nucleating particles
ATMOSPHERIC AEROSOL PROCESSES AND IMPACTS ACROSS SCALES: INSIGHTS INTO PROPERTIES, MULTIPHASE PROCESSES, AIR QUALITY, CLIMATE, AND HEALTH I ORAL
atmospheric sciences | 12 december 2023
Daniel A. Knopf, Naruki Hiranuma, Franziska Vogel,...
Ice formation in supercooled liquid clouds may be locally initialized at a wide range of temperatures via ice-nucleating particles (INPs). Characteriz...
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Unraveling aerosol mixing state: Enhancing climate impact predictions through particle-resolved simulations
MODELS, IN SITU, AND REMOTE SENSING OF AEROSOLS (MIRA) I ORAL
atmospheric sciences | 11 december 2023
Nicole S. Riemer, Jeffrey H. Curtis, Yu Yao, Laura...
Calculations of the aerosol direct effect on climate heavily rely on simulated aerosol fields. However, the accuracy of these calculations is often co...
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