Jiming Jin Lab Group

Jiming Jin Lab Group

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Jonathan Meyer

Doctoral Candidate

Jon's research focuses around the Weather Research and Forecasting (WRF) model.

Current projects:
• The effect of various map projection types on seasonal atmospheric circulation patterns.
• The effect of the Great Lakes on future regional climate using a coupled deep-lake model within WRF.
• Utilizing historical trends of SNOTEL high elevation observing sites to understand future hydrologic resources.


Hongping Gu

Doctoral Candidate

Hongping's research focuses on the lake effect on regional weather and climate systems.The Great Lakes have a great impact on weather and climate processes over their surrounding areas. To quantify such an impact, a physical lake model has been coupled with the Weather Research and Forecasting (WRF3.2) model to simulate the thermal structure in the Great Lakes and study the lake-atmosphere interactions.


 Lin Zhao

Doctoral Candidate

Lin's research focuses on climate simulation over the Great Lakes region. He is integrating remotely sensed lake surface temperature and ice cover with the Weather Research and Forecasting model version 3.2 to improve lake-effect precipitation simulations over the Great Lakes region. Results show that WRF with the Moderate Resolution Imaging Spectroradiometer (MODIS) lake surface temperature and the National Ice Center (NIC) ice cover significantly improves lake-effect precipitation simulations over the Great Lakes region. 

Yan Bao

Postdoctoral Researcher

Yan's research focuses on air quality and particulate matter (PM) of aerodynamic diameter less than or equal to 10 micros (PM10). In a farming place like San Joaquin Valley (SVJ) in California, where there has long been a concern about air pollution due to intensive farming activities, PM10 is composed mostly of soil-derived material during spring and summer tillage or harvesting time in fall. The emission from the farming activities is generally dynamic and depends a lot on the temporal and spatial variation of meteorological conditions like the wind, air moisture, turbulences and stability conditions, and therefore is hard to catch by regular aerosol monitoring stations. Yan is setting up a field-resolute WRF/chem model to simulate the agricultural dust activity and how the meteorological conditions affect the PM10 dispersions and translations.


 Ripley McCoy

Doctoral Candidate

Ripley is studying regional climate over the Western United States using the Weather Research & Forecasting (WRF) model.  His research involves studying biases in temperature and precipitation caused by forcing WRF with global climate model output, then correcting the input data before running WRF.  This technique will be applied to future climate simulations to identify trends in Western U.S. climate. 

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