Impacts of Diabatic Initialization and Cumulus Parameterization on Numerical Typhoon Prediction

Initialization of Tropical Cyclones in Numerical Prediction Systems

Impacts of Heavy Rain and Typhoon on Allergic Disease

OBJECTIVES Allergic disease may be increased by climate change. Recent reports have shown that typhoon and heavy rain increase allergic disease locally by concentration of airborne allergens of pollen, ozone, and fungus, which are causes of allergic disease. The objective of this study was to determine whether typhoon and heavy rain increase allergic disease in Korea. METHODS This study inclu...

Parameterization and Initialization of Bearing-only Information - A Discussion

In this paper we discuss feature parameterization and initialization for bearing-only data obtained from vision sensors. The interest of this work refers to the comparison of the bearing-only data representation and initialization techniques. The behavior of the algorithm is analyzed for different robot motions and depth of the features. The results are evaluated in terms of the sensitivity to ...

The Cumulus Parameterization Problem: Past, Present, and Future

A review of the cumulus parameterization problem is presented with an emphasis on its conceptual aspects covering the history of the underlying ideas, major problems existing at present, and possible directions and approaches for future climate models. Since its introduction in the early 1960s, there have been decades of controversies in posing the cumulus parameterization problem. In this pape...

P1.11 on Providing a Cloud-balanced Initial Condition for Diabatic Initialization

Inclusion of clouds in an initial condition has been a long-term goal of many numerical weather prediction systems. The work with the ARPS model and ADAS initialization has been a notable example (Xue, et al., 2000). Work by Crook and Sun, 1997 has taken this even into the realm of the model adjoint. What we seek in this work is an a 3-D static analysis that can provide the kind of sophisticati...