| Observed 20th century desert dust variability: impact on climate and biogeochemistry NM Mahowald, S Kloster, S Engelstaedter, JK Moore, S Mukhopadhyay, ... Atmospheric Chemistry and Physics 10 (22), 10875-10893, 2010 | 476 | 2010 |
| The Fifth International Workshop on Ice Nucleation phase 2 (FIN-02): laboratory intercomparison of ice nucleation measurements PJ DeMott, O Möhler, DJ Cziczo, N Hiranuma, MD Petters, SS Petters, ... Atmospheric Measurement Techniques 11 (11), 6231-6257, 2018 | 87 | 2018 |
| The SPectrometer for Ice Nuclei (SPIN): an instrument to investigate ice nucleation S Garimella, TB Kristensen, K Ignatius, A Welti, J Voigtländer, GR Kulkarni, ... Atmospheric Measurement Techniques 9 (7), 2781-2795, 2016 | 76 | 2016 |
| Health co-benefits of sub-national renewable energy policy in the US EG Dimanchev, S Paltsev, M Yuan, D Rothenberg, CW Tessum, ... Environmental Research Letters 14 (8), 085012, 2019 | 63 | 2019 |
| Assessing the impacts of seasonal and vertical atmospheric conditions on air quality over the Pearl River Delta region CHM Tong, SHL Yim, D Rothenberg, C Wang, CY Lin, YD Chen, NC Lau Atmospheric Environment 180, 69-78, 2018 | 62 | 2018 |
| Desert dust and anthropogenic aerosol interactions in the Community Climate System Model coupled-carbon-climate model N Mahowald, K Lindsay, D Rothenberg, SC Doney, JK Moore, P Thornton, ... Biogeosciences 8 (2), 387-414, 2011 | 60 | 2011 |
| Projecting the impacts of atmospheric conditions under climate change on air quality over the Pearl River Delta region CHM Tong, SHL Yim, D Rothenberg, C Wang, CY Lin, YD Chen, NC Lau Atmospheric environment 193, 79-87, 2018 | 42 | 2018 |
| Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers S Garimella, DA Rothenberg, MJ Wolf, RO David, ZA Kanji, C Wang, ... Atmospheric Chemistry and Physics 17 (17), 10855-10864, 2017 | 42 | 2017 |
| New particle formation and its effect on cloud condensation nuclei abundance in the summer Arctic: a case study in the Fram Strait and Barents Sea S Kecorius, T Vogl, P Paasonen, J Lampilahti, D Rothenberg, H Wex, ... Atmospheric Chemistry and Physics 19 (22), 14339-14364, 2019 | 37 | 2019 |
| Metamodeling of droplet activation for global climate models D Rothenberg, C Wang Journal of the Atmospheric Sciences 73 (3), 1255-1272, 2016 | 33 | 2016 |
| On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect D Rothenberg, A Avramov, C Wang Atmospheric Chemistry and Physics 18 (11), 7961-7983, 2018 | 24 | 2018 |
| Real-time weather forecasting for transportation systems S Elkabetz, J Ribnik, I Zlotnik, R Goffer, N Nossenson, DA Rothenberg, ... US Patent 10,962,680, 2021 | 16 | 2021 |
| Impacts on cloud radiative effects induced by coexisting aerosols converted from international shipping and maritime DMS emissions Q Jin, BS Grandey, D Rothenberg, A Avramov, C Wang Atmospheric Chemistry and Physics 18 (22), 16793-16808, 2018 | 16 | 2018 |
| Effective radiative forcing in the aerosol–climate model CAM5. 3-MARC-ARG BS Grandey, D Rothenberg, A Avramov, Q Jin, HH Lee, X Liu, Z Lu, ... Atmospheric Chemistry and Physics 18 (21), 15783-15810, 2018 | 15 | 2018 |
| Volcano impacts on climate and biogeochemistry in a coupled carbon–climate model D Rothenberg, N Mahowald, K Lindsay, SC Doney, JK Moore, P Thornton Earth System Dynamics 3 (2), 121-136, 2012 | 15 | 2012 |
| Effective radiative forcing in the aerosol–climate model CAM5 BS Grandey, D Rothenberg, A Avramov, Q Jin, HH Lee, X Liu, Z Lu, ... 3-MARC-ARG, Atmos. Chem. Phys., 18, 15783–15810, https://doi. org/10.5194 …, 2018 | 13 | 2018 |
| Forecasting method with machine learning D Rothenberg US Patent 11,402,542, 2022 | 12 | 2022 |
| How uncertainty in field measurements of ice nucleating particles influences modeled cloud forcing S Garimella, DA Rothenberg, MJ Wolf, C Wang, DJ Cziczo Journal of the Atmospheric Sciences 75 (1), 179-187, 2018 | 10 | 2018 |
| An aerosol activation metamodel of v1. 2.0 of the pyrcel cloud parcel model: Development and offline assessment for use in an aerosol–climate model D Rothenberg, C Wang Geoscientific Model Development 10 (4), 1817-1833, 2017 | 8 | 2017 |
| Physically regularized machine learning emulators of aerosol activation SJ Silva, PL Ma, JC Hardin, D Rothenberg Geoscientific Model Development 14 (5), 3067-3077, 2021 | 7 | 2021 |
Chien WangMassachusetts Institute of TechnologyVerified email at mit.edu
