Lakes have often been treated as one‐dimensional entities for energy balance (EB) studies mostly based on point measurements. Therefore, our knowledge of the spatial variability of lake EB is quite limited. We created EB maps of Lake Kasumigaura, a 172‐km2 shallow lake in Japan, with a 90‐m horizontal resolution at a 3‐hr interval over 5 years based on spatially interpolated meteorological variables and water surface temperature, with turbulent fluxes estimated by the bulk equations. The results indicate that turbulent fluxes and total energy flux into water body G were spatially variable while radiative fluxes were more uniform. The spatial variability of turbulent fluxes averaged over a season, a year, and 5 years was mainly caused by wind speed difference; a longer fetch in downwind areas of the lake resulted in strong winds and higher turbulent fluxes. The spatial difference of turbulent fluxes and quasi‐uniform net radiation caused a total energy flux out of the water in the downwind area and a total energy flux into the lake in an upwind area. This spatial difference of G appeared to be compensated by heat transport from the upwind to downwind area through advection due to lake current.
This article aims at verifying the rationality of experiential subjectivities of credit analysts. In order to understand future events that can occur in an enterprise, uncertainty can be reduced based on their expertise. Rather than bankruptcy prediction accuracy, as in preceding studies, the aim here is to build a credit risk model from the viewpoint of credit analysts with sufficient experience for causal analysis. Factors that professional analysts pay major attention to in discovering bankruptcy chances are studied. The significant factors presented are four categories of what I call trust fear factors. The significance of the credit risk model based on these four factors was validated by statistical test, and this model was verified as a pragmatic model. The finding here is that subjective expertise works effectively for discovering an enterprise's critical situation turning towards bankruptcy.
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