Utilization of Mesoscale Atmospheric Dynamic Model PHYSIC as a Meteorological Forecast Model in Nuclear Emergency Response System.
-
- NAGAI Haruyasu
- Department of Environmental Safety Research, Japan Atomic Energy Research Institute
-
- YAMAZAWA Hiromi
- Department of Environmental Safety Research, Japan Atomic Energy Research Institute
Bibliographic Information
- Other Title
-
- Utilization of Mesoscale Atmospheric Dy
Search this article
Abstract
<BR>It is advantageous for an emergency response system to have a forecast function to provide a time margin for countermeasures in case of a nuclear accident. We propose to apply an atmospheric dynamic model PHYSIC (Prognostic HYdroStatic model Including turbulence Closure model) as a meteorological forecast model in the emergency system. The model uses GPV data which are the output of the numerical weather forecast model of Japan Meteorological Agency as the initial and boundary conditions. The roles of PHYSIC are the interface between GPV data and the emergency response system and the forecast of local atmospheric phenomena within the model domain. <BR>This paper presents a scheme to use PHYSIC to forecast local wind and its performance. Horizontal grid umber of PHYSIC is fixed to 50×50, whereas the mesh and domain sizes are determined in consideration of topography causing local winds at an objective area. The model performance was examined for the introduction of GPV data through initial and boundary conditions and the predictability of local wind field and atmospheric stability. The model performance was on an acceptable level as the forecast model. It was also recognized that improvement of cloud calculation was necessary in simulating atmospheric stability.
Journal
-
- Journal of Nuclear Science and Technology
-
Journal of Nuclear Science and Technology 34 (8), 835-846, 1997
Atomic Energy Society of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282679071731584
-
- NII Article ID
- 10002077860
-
- NII Book ID
- AA00703720
-
- COI
- 1:CAS:528:DyaK2sXmsVajtL4%3D
-
- ISSN
- 18811248
- 00223131
-
- NDL BIB ID
- 4277731
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed