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Ruifang Li
325 Broadway
Boulder, CO 80305-3328
Profile
Ruifang works mainly on data assimilation and in transferring HRRRv4/RAPv5 into FV3. We install capabilities required for DA in FV3 including latent heat forcing, cloud analysis and execute real-time and retrospective DA-cycling runs of regional FV3 at 12-km and 3-km, I also work on AOD and PM2.5 data assimilation for WildFire project.
Research Interests
- Data assimilation in regional OSE (Observing System Experiment) and global OSSE (Observing System Simulation Experiment)
Education
- M.S. in Computer Science, University of Oklahoma, Norman OK -- 2004
- B.S. in Computer Science, Nanjing Institute of Meteorology, China -- 1994
Experience
Excellent scientific programming skill using Fortran and UNIX shell scripts to develop and apply functions for improving numerical weather simulation systems. Many years of experience in building and conducting end-to-end numerical experiments and analyzing the results. Profound knowledge on BUFR, GRIB1, and GRIB2 data structure and data process with NCEP and ECMWF libraries
Publications
Cucurull, L., R. Li, and T.R. Peevey, 2017: Assessment of Radio Occultation Observations from the COSMIC-2 Mission with a Simplified Observing System Simulation Experiment Configuration. Mon. Wea. Rev., 145, 3581–3597, https://doi.org/10.1175/MWR-D-16-0475.1
Cucurull, L., R. Atlas, R. Li, M.J. Mueller, and R.N. Hoffman, 2018: An Observing System Simulation Experiment with a Constellation of Radio Occultation Satellites. Mon. Wea. Rev., In review.
Boukabara, S., K. Ide, N. Shahroudi, Y. Zhou, T. Zhu, R. Li, L. Cucurull, R. Atlas, S.P. Casey, and R.N. Hoffman, 2018: Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Perfect Observations Simulation Validation. J. Atmos. Oceanic Technol., 35, 207–226, https://doi.org/10.1175/JTECH-D-17-0077.1
Boukabara, S., I. Moradi, R. Atlas, S.P. Casey, L. Cucurull, R.N. Hoffman, K. Ide, V. Krishna
Kumar, R. Li, Z. Li, M. Masutani, N. Shahroudi, J. Woollen, and Y. Zhou, 2016:Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Description and Usage. J. Atmos. Oceanic Technol., 33, 1759–1777,https://doi.org/10.1175/JTECH-D-16-0012.1