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<h1 id="articles-and-preprints">Articles and Preprints</h1>
<hr style="width:70%" />
<table border="0">
<tr>
<td><b style="width:20px"></b></td>
<td><b style="width:400px"></b></td>
</tr>
<tr>
<td><strong>2022<br /><br /><br /><br /><br /></strong></td>
<td><strong>Re-evaluating cloud chamber constraints on depositional ice growth in cirrus clouds--<br />Part 1: Model description and sensitivity tests <a href="https://doi.org/10.5194/acp-2022-733">[preprint]</a></strong><br />
K.D. Lamb, J. Harrington, B.W. Clouser, E.J. Moyer, L. Sarkozy, V. Ebert, O. Möhler, H. Saathoff.<br />
<em>Atmospheric Chemistry and Physics Discussion</em><br />
Under review (2022)</td>
</tr>
<tr>
<td></td>
<td><strong>Implicit Learning of Convective Organization Explains Precipitation Stochasticity <a href="https://www.essoar.org/doi/abs/10.1002/essoar.10512517.1">[preprint]</a></strong><br />
S. Shamekh, K.D. Lamb, Y. Huang, P. Gentine.<br />
Under review (2022)</td>
</tr>
<tr>
<td></td>
<td><strong>Zero‐Shot Learning of Aerosol Optical Properties Using Graph Neural Networks <a href="https://arxiv.org/abs/2107.10197">[preprint]</a></strong><br />
K.D. Lamb, P. Gentine.<br />
Under review (2022)</td>
</tr>
<tr>
<td></td>
<td><strong>Pyrocumulonimbus significantly impact the stratospheric aerosol budget </strong><br />
J.M Katich, E. Apel, I. Bourgeois, C. Brock, T.P. Bui, P. Campuzano-Jost, R. Commane, B. Daube, M. Dollner, M. Fromm, K.D. Froyd, A.J. Hills, R.S. Hornbrook, J. Jimenez, A. Kupc, K.D. Lamb, K. McKain, F. Moore, D.M. Murphy, B.A. Nault, J. Peischl, D.A. Peterson, E.A. Ray, K.H. Rosenlof, T. Ryerson, G.P. Schill, J.C. Schroder, B. Weinzierl, C. Thompson, C.J. Williamson, S. Wofsy, P. Yu, J.P. Schwarz.<br />
Under review (2022)</td>
</tr>
<tr>
<td></td>
<td><strong>The under‐appreciated role of anthropogenic sources in atmospheric soluble iron flux to the Southern Ocean. <a href=" https://www.nature.com/articles/s41612-022-00250-w">[link]</a></strong><br />
M. Liu, H. Matsui, D.S. Hamilton, K.D. Lamb, S.D. Rathod, J.P. Schwarz, N.M. Mahowald.<br /> <em>npj Climate and Atmospheric Science</em> 5, 28 (2022)</td>
</tr>
<tr>
<td><strong>2021<br /><br /><br /><br /></strong></td>
<td><strong>Complex refractive indices in the ultraviolet and visible spectral region for highly absorbing non‐spherical biomass burning aerosol <a href="https://acp.copernicus.org/articles/21/7235/2021/">[link]</a></strong><br />
C.C. Womack, K.M. Manfred, N.L. Wagner, G. Adler, A. Franchin, K.D. Lamb, A.M. Middlebrook, J.P. Schwarz, C.A. Brock, S.S. Brown, R.A. Washenfelder.<br />
<em>Atmospheric Chemistry and Physics</em>, 21, 7235-7252 (2021)</td>
</tr>
<tr>
<td></td>
<td><strong>Temporal and spatial variations of aerosol optical properties over the Korean peninsula during KORUS‐AQ <a href="https://www.sciencedirect.com/science/article/pii/S1352231021001199">[link]</a> </strong><br />
C.Y. Choi, Y.S. Ghim, M. Segal‐Rozenhaimer, J. Redemann, S.E. LeBlanc, Y. Lee, T. Lee, T. Park, J.P. Schwarz, K.D. Lamb, C.J. Flynn, R.J. Johnson, A.E. Perring<br />
<em>Atmospheric Environment</em>, 118301, ISSN 1352‐2310 (2021)</td>
</tr>
<tr>
<td></td>
<td><strong>Global‐scale constraints on light‐absorbing anthropogenic iron oxide aerosols <a href="https://www.nature.com/articles/s41612-021-00171-0">[link]</a> </strong><br />
K.D. Lamb, H. Matsui, J. Katich, A.P. Perring, J.R. Spackman, B. Weinzerl, M. Dollner, J.P.Schwarz <br />
<em>npj Climate and Atmospheric Science</em>, 4, 15 (2021)</td>
</tr>
<tr>
<td></td>
<td><strong>Light‐absorption enhancement of black carbon in the Asian outflow: Airborne SP2 observations during KORUS‐AQ <a href="https://www.sciencedirect.com/science/article/pii/S0048969721005994">[link]</a></strong><br />
C. Cho, J.P. Schwarz, A.E. Perring, K.D. Lamb, Y. Kondo, J.U. Park, D.H. Park, K. Shim, J.S. Park, R.J. Park, M. Lee, C.K. Song, S.W. Kim <br />
<em>Science of the Total Environment</em>, Jun 15, Vol. 773, 145531 (2021)</td>
</tr>
<tr>
<td><strong>2020<br /><br /><br /><br /><br /><br /><br /></strong></td>
<td><strong>Investigation of Factors Controlling PM2.5 Variability across the South Korean peninsula during KORUS‐AQ <a href="https://online.ucpress.edu/elementa/article/doi/10.1525/elementa.424/112774/">[link]</a></strong><br />
C.E. Jordan, J.H. Crawford, A.J. Beyersdorf, T.F. Eck, H.S. Halliday, B.A. Nault, L.‐S. Chang, R. Park, G. Lee, H. Kim, S. Cho, H.J. Shin, J.H. Lee, J. Jung, D.S. Kim, M. Lee, T. Lee, A. Whitehall, J. Szykman, M.K. Schueneman, P. Campuzano‐Jost, J.L. Jimenez, J.P. DiGangi, G.S. Diskin, B.E. Anderson, R.H. Moore, L.D. Ziemba, M.A. Fenn, J.W. Hair, R.E. Kuehn, R.E. Holz, G. Chen, K. Travis, M. Shook, D.A. Peterson, K.D. Lamb, J.P. Schwarz <br />
<em>Elementa: Science of the Anthropocene</em>, 8 (2020)</td>
</tr>
<tr>
<td></td>
<td><strong>The Lab Chicago Water Isotope Spectrometer: a tunable diode laser spectrometer for chamber‐based measurements of water vapor isotopic evolution during cirrus formation
<a href="https://aip.scitation.org/doi/10.1063/1.5139244">[link]</a></strong><br />
L. Sarkozy, B.W. Clouser, K.D. Lamb, E. Stutz, H. Saathoff,O. Möhler, S.Wagner, V. Ebert, B. Kühnreich, E.J. Moyer <br />
<em>Review of Scientific Instruments</em>, 91, 4 (2020)</td>
</tr>
<tr>
<td></td>
<td><strong>Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS‐AQ <a href="https://acp.copernicus.org/articles/20/6455/2020/">[link]</a></strong><br />
P.E. Saide, M. Gao, Z. Lu, D. Goldberg, D.G. Streets, J.‐H. Woo, A. Beyersdorf, C. Corr, K.L. Thornhill, B. Anderson, J.W. Hair, A.R. Nehrir, G.S. Diskin, J.L. Jimenez, B.A. Nault, P. Campuzano‐Jost, J. Dibb, E. Heim, K.D. Lamb, J.P. Schwarz, A.E. Perring, J. Kim, M. Choi, B. Holben, G. Pfister, A. Hodzic, G.R. Carmichael, L. Emmons, J.H. Crawford <br /> <em>Atmospheric Chemistry and Physics</em>, 20, 11, 6455‐6478 (2020)</td>
</tr>
<tr>
<td></td>
<td><strong>No anomalous supersaturation in ultracold cirrus laboratory experiments <a href="https://acp.copernicus.org/articles/20/1089/2020/">[link]</a></strong><br />
B. Clouser, K.D. Lamb, L. Sarkozy, A. Nisenoff, J. Habig, V. Ebert, H. Saathoff, O. Möhler, E.J. Moyer<br />
<em>Atmospheric Chemistry and Physics</em>, 20, 2, 1089‐1103 (2020)</td>
</tr>
<tr>
<td><strong>2019<br /><br /><br /><br /></strong></td>
<td><strong>Classification of iron oxide aerosols with a single particle soot photometer using supervised machine learning <a href="https://amt.copernicus.org/articles/12/3885/2019/">[link]</a></strong><br />
K.D. Lamb <br />
<em>Atmospheric Measurement Techniques</em>, 12, 3885‐3906 (2019)</td>
</tr>
<tr>
<td></td>
<td><strong>Evidence in biomass burning smoke for light‐absorbing aerosol with properties intermediate between black and brown carbon <a href="https://www.tandfonline.com/doi/full/10.1080/02786826.2019.1617832">[link]</a> </strong><br />
G. Adler, N. Wagner, K.D. Lamb, K. Manfred, J.P. Schwarz, A. Franchin, A. Middlebrook, R. Washenfelder, C. Womak, R. Yokelson, D. Murphy <br />
<em>Aerosol Science and Technology</em>, p. 976‐989 (2019)</td>
</tr>
<tr>
<td></td>
<td><strong>Inter‐comparison of black carbon measurement methods for simulated open biomass burning emissions <a href="https://www.sciencedirect.com/science/article/pii/S1352231019301724">[link]</a></strong><br />
H. Li, K.D. Lamb, J. Schwarz, V. Selimovic, R. Yokelson, G. McMeeking, A. May <br /> <em>Atmospheric Environment</em>, Vol. 206, p.156‐169 (2019)</td>
</tr>
<tr>
<td><strong>2018<br /><br /><br /><br /><br /><br /></strong></td>
<td><strong>Secondary organic aerosol production from local emissions dominates the organic aerosol budget over Seoul, South Korea, during KORUS‐AQ <a href="https://acp.copernicus.org/articles/18/17769/2018/">[link]</a></strong><br />
B. Nault, P. Campuzano‐Jost, D. Day, J. Schroder, B. Anderson, A. Beyersdorf, D. Blake, W. Brune, Y. Choi,C. Corr, J. de Gouw, J. Dibb, J. DiGangi, G. Diskin, A. Fried, L.G. Huey, M. Kim, C. Knote, K.D. Lamb, T. Lee, T. Park, S. Pusede,
E. Scheuer, K. Thornhill, J.‐H. Woo, and J. Jimenez <br />
<em>Atmospheric Chemistry and Physics</em>, 18, 24, 17769-17800 (2018)</td>
</tr>
<tr>
<td></td>
<td><strong>Estimating Source Region Influences on Black Carbon Abundance, Microphysics, and Radiative Effect Observed Over South Korea <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018JD029257">[link]</a></strong><br />
K.D .Lamb, A. Perring, B. Samset, D. Peterson, S. Davis, B. Anderson, A. Beyersdorf, D. Blake, P. Campuzano‐Jost, C. Corr, G. Diskin, Y. Kondo, N. Moteki, B. Nault, J. Oh, M. Park, S. Pudede, I. Simpson, K. Thornhill, A. Wisthaler, J.P. Schwarz <br />
<em>Journal of Geophysical Research: Atmospheres</em>, 123(23): 13527‐13548 (2018)</td>
</tr>
<tr>
<td></td>
<td><strong>Investigating biomass burning aerosol morphology using a laser imaging nephelometer <a href="https://acp.copernicus.org/articles/18/1879/2018/">[link]</a></strong><br />
K.M. Manfred, R.A. Washenfelder, N.L. Wagner, G. Adler, F. Erdesz, C.C. Womack, K.D. Lamb, J.P. Schwarz, A. Franchin, and V. Selimovic <br />
<em>Atmospheric Chemistry and Physics</em>, 18, 3, 1879-1894 (2018)</td>
</tr>
<tr>
<td><strong>2017<br /><br /><br /><br /></strong></td>
<td><strong>Laboratory measurements of HDO/H2O isotopic fractionation during ice deposition in simulated cirrus clouds <a href="https://www.pnas.org/doi/10.1073/pnas.1618374114">[link]</a></strong><br />
K.D. Lamb, B.W. Clouser, M. Bolot, L. Sarkozy, V. Ebert, H. Saathoff, O. Möhler, E.J. Moyer <br />
<em>Proceedings of the National Academy of Sciences</em>, 114(22):5612–5617 (2017) </td>
</tr>
<tr>
<td><strong>earlier<br /><br /><br /></strong></td>
<td><strong>Unitary and nonunitary approaches in quantum field theory <a href="https://journals.aps.org/pra/abstract/10.1103/PhysRevA.75.013425">[link]</a></strong><br />
K.D. Lamb, C.C. Gerry, Q. Su, R. Grobe <br />
<em>Physical Review A</em>, 75(1):013425 (2007)</td>
</tr>
<tr>
<td></td>
<td><strong>Non‐perturbative retrieval of the scattering strength in one‐dimensional media <a href="https://journals.aps.org/pre/pdf/10.1103/PhysRevE.74.061903">[link]</a></strong><br />
K.D. Lamb, S. Menon, Q. Su, R. Grobe <br />
<em>Physical Review E</em>, 74(6):061903 (2006)</td>
</tr>
</table>
<p>
</p>
<h1 style="text-align: right;">Conference Papers</h1>
<hr class="right" style="width:70%" />
<table border="0">
<tr>
<td><strong>2022<br /><br /><br /><br /></strong></td>
<td><strong>Identifying the Causes of Pyrocumulonimbus (PyroCb) <a href="https://arxiv.org/abs/2211.08883">[link]</a></strong><br />
E. Diaz Salas‐Porras, K. Tazi, A. Braude, D. Okoh, K.D. Lamb, D. Watson‐Parris, P. Harder, N. Meinert <br />
Workshop on Causality for Real‐world Impact (CML4Impact 2022) <br />
2022 Conference on Neural Information Processing Systems <br /></td>
</tr>
<tr>
<td></td>
<td><strong>Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) clouds <a href="https://arxiv.org/abs/2211.13052">[link]</a></strong><br />
K. Tazi, E. Diaz Salas‐Porras, A. Braude, D. Okoh, K.D. Lamb, D. Watson‐Parris, P. Harder, N. Meinert<br />
Tackling Climate Change with Machine Learning Workshop <br />
2022 Conference on Neural Information Processing Systems<br /></td>
</tr>
<tr>
<td><strong>2019<br /><br /><br /><br /></strong></td>
<td><strong>A deep learning approach for classifying black carbon aerosol morphology</strong><br />
K.D. Lamb <br />
Tackling Climate Change with Machine Learning Workshop <br />
2019 Conference on Neural Information Processing Systems <br /></td>
</tr>
<tr>
<td></td>
<td><strong>Prediction of GNSS Phase Scintillations: A Machine Learning Approach <a href="https://arxiv.org/abs/1910.01570">[link]</a></strong><br />
K.D. Lamb*, G. Malhotra*, A. Vlontzos*, E. Wagstaff*, A.G. Baydin, A. Bhiwandiwalla, Y. Gal, A. Kalaitzis, A.Reina, A. Bhatt (*equal contributions) <br />
Machine Learning and the Physical Sciences Workshop <br />
2019 Conference on Neural Information Processing Systems <br /></td>
</tr>
<tr>
<td></td>
<td><strong>Correlation of Auroral Dynamics and GNSS Scintillation with an Auto‐encoder <a href="https://arxiv.org/abs/1910.01570">[link]</a></strong><br />
K.D. Lamb*, G. Malhotra*, A. Vlontzos*, E. Wagstaff*, A.G. Baydin, A. Bhiwandiwalla, Y. Gal, A. Kalaitzis, A.Reina, A. Bhatt (*equal contributions) <br />
Machine Learning and the Physical Sciences Workshop <br />
2019 Conference on Neural Information Processing Systems <br /></td>
</tr>
</table>
<p>
</p>
<h1 id="media-and-press">Media and Press</h1>
<hr style="width:70%" />
<p>How Studying the Clouds Can Improve Climate Models, State of the Planet, November (2022) <a href="https://news.climate.columbia.edu/2022/11/23/how-studying-the-clouds-can-improve-climate-models/">[link]</a> <br />
DOE Awards $14 Million to Improve Climate Change Predictions (2022) <a href="https://www.arm.gov/news/facility/post/80145">[link]</a> <br />
Aerosols and their Role in Climate (2021) <a href="https://storymaps.arcgis.com/stories/482fcb53fda94104b60bac785ac739f4">[link]</a><br />
NASA flies low over South Korea to measure polluted air, CNN, June (2016) <a href="https://www.cnn.com/2016/06/02/asia/nasa-south-korea-dc-8-pollution">[link]</a><br />
On board NASA’s flying lab over South Korea, CNN, June (2016) <a href="https://www.cnn.com/2016/06/02/asia/nasa-air-pollution-south-korea-photos/index.html">[link]</a><br /></p>
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