Dr. Rachael A. Kroodsma is an assistant research scientist with the University of Maryland/ESSIC, working with the Precipitation Processing System at NASA Goddard Space Flight Center. Her primary responsibilities include leading the Global Precipitation Measurement (GPM) inter-calibration working group (XCAL) and serving as instrument scientist for the airborne microwave radiometers CoSMIR and CoSSIR (Conical Scanning Millimeter-wave Imaging Radiometer and Configurable Scanning Submillimeter-wave Instrument/Radiometer).
The GPM XCAL team is responsible for delivering the intercalibration tables for the GPM constellation microwave radiometers to create the Level 1C dataset. The XCAL team works on developing intercalibration techniques and monitoring the calibration/stability of the current sensors in the constellation to ensure a quality precipitation product.
CoSMIR and CoSSIR
The GSFC airborne radiometer suite of CoSMIR and CoSSIR together provide measurements from 50 to 684 GHz. CoSMIR has frequencies from 50 to 183 GHz and has flown in multiple field campaigns on the NASA DC-8 and ER-2 aircraft, first providing SSMIS calibration/validation and then participating in four GPM ground validation campaigns. CoSMIR is currently part of the multi-year IMPACTS campaign to measure snowfall on the East Coast. CoSSIR is currently being upgraded to have all dual-polarized channels from 170 to 684 and is planned to fly in the 3rd year of the IMPACTS campaign in 2023. CoSSIR is well positioned to provide validation for upcoming spaceborne missions that include a submillimeter-wave radiometer (e.g. ICI and AOS).
Assistant Research Scientist
University of Maryland - College Park, MD
May 2018 - Present
University of Maryland - College Park, MD
March 2014 - May 2018
Ph.D. in Atmospheric, Oceanic, and Space Sciences, University of Michigan, Ann Arbor, 2014
Dissertation: "Microwave Radiometer Inter-Calibration: Algorithm Development and Application"
M.S.E. in Electrical Engineering, University of Michigan, Ann Arbor, 2013
B.S.E. in Earth Systems Science and Engineering, University of Michigan, Ann Arbor, 2009
2010 - Present
610AT Field Campaign Support Award, 2020
NASA Group Achievement Award, 2015
NASA RHG Exceptional Achievement for Science Team Award, 2015
NASA Graduate Student Researchers Program (GSRP) Fellowship, 2010
University of Michigan Rackham Merit Fellowship, 2009
Gambacorta, A., J. Piepmeier, M. Stephen, et al. J. Santanello, J. Blaisdell, I. Moradi, W. McCarty, R. Rosenberg, A. Kotsakis, J. MacKinnon, F. Gambini, P. Mohammed, R. Kroodsma, I. Adams, and P. Racette. 2023. Advancing Atmospheric Thermodynamic Sounding from Space using Hyperspectral Microwave Measurements IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1-16 [10.1109/jstars.2023.3269697]
Kroodsma, R. A., W. Berg, and T. T. Wilheit. 2022. Special Sensor Microwave Imager/Sounder Updates for the Global Precipitation Measurement V07 Data Suite IEEE Transactions on Geoscience and Remote Sensing 60 1-11 [10.1109/tgrs.2022.3162529]
McMurdie, L. A., G. M. Heymsfield, J. E. Yorks, et al. S. A. Braun, G. Skofronick-Jackson, R. M. Rauber, S. Yuter, B. Colle, G. M. McFarquhar, M. Poellot, D. R. Novak, T. J. Lang, R. Kroodsma, M. McLinden, M. Oue, P. Kollias, M. R. Kumjian, S. J. Greybush, A. J. Heymsfield, J. A. Finlon, V. L. McDonald, and S. Nicholls. 2022. Chasing Snowstorms: The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) Campaign Bulletin of the American Meteorological Society [10.1175/bams-d-20-0246.1]
You, Y., V. Petkovic, J. Tan, et al. R. Kroodsma, W. Berg, C. Kidd, and C. Peters-Lidard. 2020. Evaluation of V05 Precipitation Estimates from GPM Constellation Radiometers Using KuPR as the Reference Journal of Hydrometeorology 21 (4): 705-728 [10.1175/jhm-d-19-0144.1]
Kroodsma, R. A., M. A. Fritts, J. F. Lucey, et al. M. R. Schwaller, T. J. Ames, C. M. Cooke, and L. M. Hilliard. 2019. CoSMIR Performance During the GPM OLYMPEX Campaign IEEE Transactions on Geoscience and Remote Sensing 57 (9): 6397-6407 [10.1109/tgrs.2019.2906039]
Kroodsma, R., S. Bilanow, and D. McKague. 2018. TRMM Microwave Imager (TMI) Alignment and Along-Scan Bias Corrections Journal of Atmospheric and Oceanic Technology 35 (7): 1457-1470 [10.1175/jtech-d-17-0221.1]
Kroodsma, R. A., D. S. McKague, and C. S. Ruf. 2017. Vicarious Cold Calibration for Conical Scanning Microwave Imagers IEEE Transactions on Geoscience and Remote Sensing 55 (2): 816-827 [10.1109/tgrs.2016.2615552]
Berg, W., S. Bilanow, R. Chen, et al. S. Datta, D. Draper, H. Ebrahimi, S. Farrar, W. L. Jones, R. Kroodsma, D. McKague, V. Payne, J. Wang, T. Wilheit, and J. X. Yang. 2016. Intercalibration of the GPM Microwave Radiometer Constellation Journal of Atmospheric and Oceanic Technology 33 (12): 2639-2654 [10.1175/jtech-d-16-0100.1]
Wilheit, T., W. Berg, H. Ebrahimi, et al. R. Kroodsma, D. McKague, V. Payne, and J. Wang. 2015. Intercalibrating the GPM constellation using the GPM Microwave Imager (GMI) 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) [10.1109/igarss.2015.7326996]
Kroodsma, R. A., D. S. McKague, and C. S. Ruf. 2013. Extension of Vicarious Cold Calibration to 85–92 GHz for Spaceborne Microwave Radiometers IEEE Transactions on Geoscience and Remote Sensing 51 (9): 4743-4751 [10.1109/tgrs.2013.2267152]
Kroodsma, R., D. McKague, and C. Ruf. 2013. Effect of microwave radiometer inter-calibration on rainfall accumulation for the global precipitation measurement mission 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS [10.1109/igarss.2013.6721368]
Kroodsma, R., D. McKague, and C. Ruf. 2012. Satellite attitude analysis using the vicarious cold calibration method for microwave radiometers 2012 IEEE International Geoscience and Remote Sensing Symposium [10.1109/igarss.2012.6350804]
Kroodsma, R. A., D. S. McKague, and C. S. Ruf. 2012. Inter-Calibration of Microwave Radiometers Using the Vicarious Cold Calibration Double Difference Method IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (3): 1006-1013 [10.1109/jstars.2012.2195773]