569 An Agrometeorological Application of the Meteogram: “Agrometeogram”

Tuesday, 24 January 2017
4E (Washington State Convention Center )
Seung-Jae Lee, National Center for AgroMeteorology, Seoul, Korea, Republic of (South); and Y. J. Kim, J. Song, and J. Kim

A high-resolution Land-Atmosphere Modeling Package (LAMP) was designed at the National Center for AgroMeteorology (NCAM, http://ncam.kr) in April 2016 to support user-customized agricultural and forest management in Korea. The NCAM-LAMP is based on the Weather Research and Forecasting model (WRF), a state-of-the-art community atmospheric modeling system. The NCAM-LAMP employs the Noah Land Surface Model (LSM) with Multi-Parameterization options (Noah-MP). The offline one-dimensional version of Noah-MP was optimized for KoFlux sites in Korea.

In this presentation, an applied version of the meteogram, one in which various soil, vegetation, and atmospheric variables are incorporated, and their forecast data are displayed on a time cross-section for an agricultural or forest point, is presented. A regional high-resolution (810 m) WRF/Noah-MP forecast is conducted with dynamic vegetation turned on in order to reasonably resolve small-scale complex topographic and land-cover features and produce 7-day forecast data. The initial and boundary conditions were provided from the operational global Unified Model of the Korea Meteorological Administration. This new numerical guidance “Agrometeogram” will be used to help effectively monitor, analyze, understand, and predict energy, water, and carbon circulations in the given agricultural or forest area.

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner