Personal profile
Biography
Rajesh Kumar is a project scientist with the National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA. His research focuses on air quality that is one of the most important socioeconomic and environmental concern around the world today. Air pollution is responsible for about 7 million premature deaths every year and loss of about 80-120 million ton of food. He synergistically integrates ground- and satellite-based air quality monitoring with atmospheric composition and modeling capabilities to address a number of air quality issues including transport and transformation of air pollution, the relative importance of local and foreign emissions, deterministic and probabilistic air quality predictions, aerosol-climate interactions, heterogeneous atmospheric chemistry, chemistry-climate interactions, projection of future air quality, and impact of air quality for public health and food security. More details about his profile can be found here
Education/Academic qualification
Physics, BS, I.B. College
Physics, MS, Kurukshetra University
Environmental Science, PhD, Universität Hamburg
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Collaborations and top research areas from the last five years
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Assessing Electric And Autonomous Vehicle Operability In Adverse Weather With Large Eddy Simulations
Welch, B., Walker, C., Siems-Anderson, A., Sauer, J., Kumar, R., Chapman, L. & Jaroszweski, D., 2026, Proceedings of the 17th World Congress on Road Winter Service, Resilience and Decarbonisation. World Road Association (PIARC)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data fusion for fine-scale ozone mapping in the New York City metropolitan area using low-cost sensors and model information
Hojeily, E., Lu, C. H., Alessandrini, S., Kim, J. H., Kumar, R., Wei, S. W., Sheji, L., Bari, M. A. & Miller, S. D., Apr 15 2026, In: Atmospheric Environment. 371, 121805.Research output: Contribution to journal › Article › peer-review
Open Access -
Diagnosing wet bulb globe temperature from numerical weather prediction model output using empirical, physics based, and machine learning methods
Cheng, W. Y. Y., Knievel, J. C., Kumar, R. & Roux, G., Feb 2026, In: Discover Applied Sciences. 8, 2, 173.Research output: Contribution to journal › Article › peer-review
Open Access -
Gridded post-processing of air quality predictions based on the Community Multi-scale Air Quality (CMAQ) model
Alessandrini, S., Meech, S., Lee, J., Kim, J.-H., Kumar, R., Wilczak, J. & Djalalova, I., Apr 2026, In: Atmospheric Environment. 375, 122011.Research output: Contribution to journal › Article › peer-review
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Human and geographic dimensions of heat risk: progress, challenges, and opportunities
Wilhelmi, O. V., Hayden, M. H., Howe, P. D., Vanos, J. K., Meerow, S., Habeeb, D., Turner, V. K., He, C., Passe, U., Yao, T., Leal, R., Kumar, R., Crawford, B., Lanza, K., Molla, A., Newman, A. J., Laverty, A. L., Iradukunda, J. C., Frank, C. & Visintainer, T., May 2026, In: Environmental Research Letters. 21, 9Research output: Contribution to journal › Comment/debate
Open Access
Datasets
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Hourly WRF-Chem simulation with SMAP soil moisture insertion over the Contiguous U.S. for the period 2015 - 2019
Kumar, R. (Creator), He, C. (Creator) & Lee, J. (Creator), NSF NCAR - National Center for Atmospheric Research, Oct 11 2024
Dataset
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Dataset: WRF-Chem simulations of dust storms with and without inserting SMAP soil moisture retrievals
Lee, J. (Creator), Jimenez Munoz, P. (Contributor), Kumar, R. (Contributor) & He, C. (Contributor), NSF NCAR - National Center for Atmospheric Research, Jan 2024
DOI: 10.5065/nq49-4y34
Dataset
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CONUS air quality reanalysis dataset (2005-2018)
Kumar, R. (Creator) & He, C. (Creator), NSF NCAR - National Center for Atmospheric Research, Sep 15 2023
DOI: 10.5065/cfya-4g50
Dataset
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The WRF Model coupled with Chemistry (WRF-Chem) Forecast Output over CONUS
Kumar, R. (Creator), Pfister, G. (Creator), Drews, C. (Creator), Honomichl, S. (Creator) & D'Attilo, G. (Creator), NSF NCAR - National Center for Atmospheric Research, Sep 10 2021
DOI: 10.5065/7J5P-MC95
Dataset
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Sensitivity of radiation to soil moisture modulations of dust emissions
Kumar, R. (Creator), He, C. (Creator) & Lee, J. (Creator), NSF NCAR CISL - Information Sciences Division, Sep 24 2024
DOI: 10.5065/j28h-a671
Dataset