\ Hurricane Research Division of AOML/NOAA
 
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NOAA's Atlantic Oceanographic and Meteorological Laboratory
4301 Rickenbacker Causeway
Miami, FL 33149

Professional Interests

Javier Delgado is a senior research associate at the Hurricane Research Division (HRD) of AOML, working for the Cooperative Institute for Marine and Atmospheric Studies (CIMAS). He received his PhD in Electrical Engineering from Florida International University in 2012, where he focused on alternative job scheduling strategies for computationally intensive workloads. His interests include the performance optimization of scientific software, autonomic scientific workflow management, and cloud computing. He is currently applying these skill to the observing system simulation experiments project at HRD.
 
He is the developer and maintainer of the Data Assimilation Framework For You (DAFFY), which is being used to carry out observing system simulation experiments with minimal need for supervision of experiment progress. The system has been used for data assimilation experiments using real and simulated observations.
 
Javier is also involved in studying strategies to improve the performance of the Hurricane Weather Research and Forecasting (HWRF) software. Such changes are crucial in order to run the next generation of hurricane simulations while satisfying strict timeliness constraints.

Current Research Projects

    Recently Published Peer-Reviewed Papers

    1. Cai, W.-J., R.A. Feely, J.M. Testa, M. Li, W. Evans, S.R. Alin, Y.-Y. Xu, G. Pelletier, A. Ahmed, D.J. Greeley, J.A. Newton, and N. Bednarsek. Natural and anthropogenic drivers of acidification in large estuaries. Annual Reviews of Marine Science, (https://doi.org/10.1146/annurev-marine-010419-011 2021
    2. Chen, N., T. Tang, J.A. Zhang, L.-M. Ma, and H. Yu. On the distribution of helicity in the tropical cyclone boundary layer from dropsonde composites. Atmospheric Research, 249:105298, https://doi.org/10.1016/j.atmosres.2020.105298 2021
    3. Cucurull, L., and S.P.F. Casey. Improved impacts in observing system simulation experiments of radio occultation observations as a result of model and data assimilation changes. Monthly Weather Review, https://doi.org/10.1175/MWR-D-20-0174.1 2021