Jana Nascimento is a Research Scientist in the Earth Prediction Advancement Division of the Global Systems Laboratory (GSL) and the Cooperative Institute for Research in Environmental Sciences (CIRES) at CU Boulder. She joined GSL in November 2021 as a Research Associate from the National Research Council (NRC), where she developed a machine learning model (ML) to forecast the instantaneous energy output of wildfires (Fire Radiative Power - FRP). In 2023 she became a NOAA/CIRES Post doctoral researcher at GSL where she focused on applying ML to a variety of tasks related to modeling convection such as predicting the future movement of convection cells and optimizing
closure selection for different model scales and meteorological conditions. Previously she received her Ph.D in Climate and Environment from the National Institute for Amazonian Research (INPA) in 2021 where she performed numerical experiments by using the WRF-Chem model to study the atmospheric aerosols in the Amazonian region, focusing on the effects that anthropogenic emissions have on the Amazon forest, especially on the ozone and secondary organic aerosols production. Her research mainly
uses ML algorithms combined with satellite observational data and numerical regional/global models to improve the understanding of how physics-based, Al/ML-based, or hybrid approaches can enhance numerical weather prediction and air quality forecasting models capabilities, particularly focusing on: (i) fire intensity and spread; (ii) lightning; (iii) precipitation in convective parameterization.

Research Interests
My research interest involves a broad and interdisciplinary approach including investigating and better understanding atmospheric composition processes and their interconnections. Particularly, chemistry and physics modeling; fire behavior and emissions; anthropogenic-biogenic emissions interactions, air quality forecasting, convection cell tracking methods and convective parameterization. Most of the projects I current work are aligned with the applicability of ML/AI methods to improving high-resolution numerical weather and air quality forecasts models and how to develop connections and ability to couple code between Al/ML to NWP-AQM.

Education

Experience

Publications
Vertically resolved aerosol variability at the Amazon Tall Tower Observatory under wet-season conditions.
Marco A. Franco, Rafael Valiati, Bruna A. Holanda, Bruno B. Meller, Leslie A. Kremper, Luciana V. Rizzo,
Samara Carbone, Fernando G. Morais, Janaína P. Nascimento, Meinrat O. Andreae, Micael A. Cecchini,
Luiz A. T. Machado, Milena Ponczek, Ulrich Pöschl, David Walter, Christopher Pöhlker, and Paulo Artaxo.
Atmos. Chem. Phys., 24, 8751–8770, https://doi.org/10.5194/acp-24-8751-2024, 2024.

Janaina P. Nascimento, Alessandro L. Banducci, Johana Romero-Alvareza, Isidora Jankov, Sean Youn,
Haiqin Li; Georg Grell; Angel Liduvino Vara-Vela, Noelia Rojas Benavente, Ravan Ahmadov, and Jordan
Schell.: Machine Lear- ning Model for Forecasting Hourly Fire Radiative Power and Improving Bio- mass
Burning Emissions in Air Quality Forecast Models. To be submitted to Environmental Science &
Technology, issue entitled Wildland Fires: Emissions, Chemistry, Contamination, Climate and Human
Health. 2023.

Vara-Vela, A. L., Karoff, C., Rojas Benavente, N., and Nascimento, J. P.: Implementation of a satellite-
based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling
evaluation against near-surface and satellite data, Geosci. Model Dev., 16, 6413–6431,
https://doi.org/10.5194/gmd-16-6413-2023, 2023.

Rojas Benavente, Noelia, Angel Liduvino Vara-Vela, Janaina P. Nascimento, Joel Rojas Acuna, Aline
Santos Damascena, Maria de Fátima Andrade, and Marcia Akemi Yamasoe.: Air quality simulation with
WRF-Chem over southeastern Brazil, Part I: Model description and evaluation using ground-based and
satellite data. Urban Climate Journal, v. 52, p. 101703, 2023. DOI:
https://doi.org/10.1016/j.uclim.2023.101703.

Janaina P Nascimento., Henrique M. J. Barbosa., Alessandro L. Banducci., Luci- ana V. Rizzo., Bruno
Meller., Angel Liduvino Vara-Vela., Helber Gomes., Marco A. Franco., Megan M. Bela and., Paulo
Artaxo.: Major regional-scale production of O3 and SOA in remote Amazon regions from the dynamics
and photochemistry of urban and forest emissions, Environmental Science & Technology 2022 56 (14),
9924-9935 DOI: 10.1021/acs.est.2c01358, https://pubs.acs.org/doi/10.1021/acs.est.2c01358.

Janaina P Nascimento., Megan M. Bela., Bruno Meller., Alessandro L. Banduc- ci., Luciana V. Rizzo.,
Angel Liduvino Vara-Vela., Henrique M. J. Barbosa., Helber Gomes., Sameh A. A. Rafee., Marco A.
Franco., Samara Carbone., Glauber G. Cirino., Rodrigo A. F. Souza., Stuart A. McKeen., and., Paulo
Artaxo.: Aerosols from anthropogenic and biogenic sources and their interactions: modeling aerosol
formation, optical properties and impacts over the central Amazon Basin, Atmos. Chem. Phys., 21, 6755-
6779, https://doi.org/10.5194/acp-21-6755-2021.

Franco, M. A., Ditas, F., Kremper, L. A., Machado, L. A. T., Andreae, M. O., Araújo, A., Barbosa, H. M. J.,
de Brito, J. F., Carbone, S., Holanda, B. A., Morais, F. G., Nascimento, J. P., Pöhlker, M. L., Rizzo, L. V.,
Sá, M., Satur- no, J., Walter, D., Wolff, S., Pöschl, U., Artaxo, P., and Pöhlker, C.: Occur- rence and
growth of sub-50 nm aerosol particles in the Amazonian boundary layer, Atmos. Chem. Phys., 22, 3469-
3492, https://doi.org/10.5194/acp-22-3469-2022, 2022.

Mouchel-Vallon, C., Lee-Taylor, J., Hodzic, A., Artaxo, P., Aumont, B., Cam- redon, M., Gurarie, D.,
Jimenez, J.-L., Lenschow, D. H., Martin, S. T., Nascimento, P. J., Orlando, J. J., Palm 715 B Brett, S. E.
J., Shrivastava, M., and Sasha, M.: Exploration of oxidative chemistry and secondary organic aerosol
formation in the Amazon during the wet season: explicit modeling of the Manaus urban plume with
GECKO-A, Atmos. Chem. Phys, 20, 5995- 6014, https://doi.org/10.5194/acp-20-5995-2020, 2020.
Abou Rafee, S. A., Freitas, E. D., Martins, J. A., Martins, L. D., Domingues, L. M., Nascimento, J. M.,
Machado, C. B., Santos, E. B., Rudke, A. P., Fujita, T., et al.: Spatial trends of extreme precipitation
events in the Paraná River Basin, Journal of Applied Meteorology and