Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model
Student Classification
Junior
Faculty Mentor
Jing Zhang, Ph.D.
Department
Department of Physics
Document Type
Poster
Publication Date
Spring 2019
Disciplines
Physics
Abstract
The performance of the snow-ice enhanced Weather Research and Forecasting (WRF-ice) model was evaluated for the simulation of a mesocyclone at a 5-km resolution for the period of October 23-25, 2017 over the Antarctic Peninsula (AP) using the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS data is acquired from two satellites known as Terra (MOD) and Aqua (MYD). Two types of MODIS products are used in the evaluation, including the Land Surface Temperature (LST) and Ice Surface Temperature (IST). Based on the availability of MODIS data, the hours used in the evaluation against MOD were 11.5-15.5 Universal Time Coordinated (UTC) for daytime and 08-12 UTC for nighttime. In the evaluation against MYD, the daytime hours were 18-22 UTC and nighttime of 02-06 UTC due to different orbital times of the Aqua satellite. The LST product is configured on a 0.05 degree latitude/longitude climate-modeling grid (CMG), and the IST product is on a 4-km resolution Equal Area Scalable Earth Grid (EASE-Grid). Both of the two products are combined to the WRF-ice domain using the closest point interpolation
Recommended Citation
Wiles, Jackson, "Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model" (2019). Undergraduate Research and Creative Inquiry Symposia. 159.
https://digital.library.ncat.edu/ugresearchsymposia/159