Since Dr. Min-Jeong Kim joined CIRA in July 2006, she has been working as a member of GOES-R proxy data team and as a member of Joint Center for Satellite Data Assimilation (JCSDA) scientists. She is currently leading the GSI cloud analysis group to assimilate satellite observations of clouds and precipitation in NOAA NCEP NWP models. In addition,  she has been serving as co-chair for the JCSDA Cloud and Precipitation Data Assimilation Working Group since May 2011.

Dr. Min-Jeong Kim got her PhD degree in 2004 from the department of Atmospheric Sciences in University of Washington in Seattle. Her dissertation research involved computing single scattering properties of nonspherical snow particles using several electromagnetic scattering models such as the Finite Difference Time Domain (FDTD), the Discrete Dipole Approximation (DDA), and the T-matrix methods. She developed parameterization methods for single scattering parameters of dry frozen precipitation to support NASA Global Precipitation Measurement (GPM) mission.

Her research during postdoc period (2005-2006) at NASA Goddard Space Flight Center includes (1) developing a physical algorithm to retrieve falling snow particles over land employing space-borne millimeter-wave measurements, (2) developing parameterization methods to compute single scattering parameters of melting snow particles in a melting layer model, (3) developing combined algorithm using radar and passive microwave measurements to estimate precipitation, and (4) combining surface emissivity model and precipitation retrieval algorithm.

Other interests and projects she worked on in the past include:

• Validations of the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) precipitation product using the ground based radar measurements.
• Joining the Kwajalein Field Experiment (KWAJEX) to support the ground validation measurements for TRMM project.
• Improvement of the TMI precipitation algorithm by considering melting layer and correlation between 85 GHz signal and surface precipitation.
• Validation of the Advanced Microwave Scanning Radiometer (AMSR-E) products by comparing with the Baltic Sea Experiment (BALTEX) Radar Network (BALTRAD) measurements.
• Development a physical parameterization method to generate radar and passive microwave measurements consistent with BALTRAD, AMSR-E, and the Advanced Microwave Sounding Unit (AMSU-B) observations.
• Development of combining algorithm to estimate liquid and frozen precipitation using radar and passive microwave measurements.
• Mesoscale model simulations for clouds and precipitations to generate priori database in microwave remote sensing algorithm.
• Comparisons of various radiative transfer models such as Eddington Approximations, Successive Order of Iteration, and Monte Carlo methods to check the accuracy and computational efficiency.
• Remote sensing of polar precipitation.

In addtion to her research, she has passion for classical musics and cooking. She is a mom of a beautiful boy and lives in North Potomac in Maryland with her beloved husband.