STUDY OF THE EFFECTS OF REDUCING SYSTEMATIC ERRORS ON MONTHLY REGIONAL CLIMATE DYNAMICAL FORECAST

A nested-model system is constructed by embedding the regional climate model RegCM3 into a general circulation model for monthly-scale regional climate forecast over East China. The systematic errors are formulated for the region on the basis of 10-yr (1991-2000) results of the nested-model system, and of the datasets of the Climate Prediction Center (CPC) Merged Analysis of Precipitation (CMAP) and the temperature analysis of the National Meteorological Center (NMC), U.S.A., which are then used for correcting the original forecast by the system for the period 2001-2005. After the assessment of the original and corrected forecasts for monthly precipitation and surface air temperature, it is found that the corrected forecast is apparently better than the original, suggesting that the approach can be applied for improving monthly-scale regional climate dynamical forecast.

Spatial Distribution of Internal Temperatures in a LGR （Light Green Roof） for Brazilian Tropical Weather

This article aims to assess the spatial distribution of the IST （internal surface temperatures） in the ceiling and DBT （dry bulb temperatures） of a LGR （light green roof） in a test cell. Cover systems known as green roofs have the potential to retain rainwater and help reduce runoff. However, the characteristic considered in this work is the insulation capacity of this kind of coverage. To evaluate the spatial distribution of temperatures in an environment with light green roof, we proposed a new method for acquisition of series of climatological data and temperatures according to spatial and temporal approaches of dynamic climatology. Climatological data were provided by an automatic weather station and temperatures were collected in a test cell with light green roof. The spatial distribution of surface temperatures and internal air temperature （DBT） are based on the concepts of a climatic episode and typical experimental day from the study of the dynamic climatology. The results led to the conclusion that the light green roof has a balanced spatial distribution of the IST and of the internal air temperature （DBT）, i.e., without substantial variations over the day. The new methodology also showed the importance of specifying the location of the sensors and automatic weather station in experimental studies on the thermal behaviour of buildings.

Influence of Global Solar Radiation on Indoor Environment： Experimental Study of Internal Temperature Distribution in Two Test Cells with Different Roof Systems

This work is part of a large experimental study on the distribution of internal temperatures in two similar test cells, but with different systems of coverage. The main goal of this paper is to present results on an experimental field to determine the influence of solar radiation on the internal environmental conditions of different roof systems. Dry bulb temperature and internal surface temperatures were measured in two test cells with different roof systems （green roof and conventional ceramic roof）. Their thermal performances were compared on days with differing air mass domain, based on dynamic climatic approach. This research was based on the spatial and temporal approaches of dynamic climatology, from the climatic regime of the city of Itirapina, S^o Paulo State, analysed as representative episodes. Climatic data were provided by an automatic weather station and verified by satellite imagery, and the internal temperatures of the cells were collected by thermocouples installed on the surfaces of ceilings, floors, walls, and suspended inside the buildings. The results indicate that the solar radiation is mainly responsible for the great variations in temperature and its impact on indoor environments, since there were great differences in temperature inside comparing the two days of the experiment. This refutes the notion that the outside temperature is responsible for daily variations in temperature inside buildings.

Comparison of thermal performance between test cells with different coverage systems for experimental typical day of heat in Brazilian Southeastern

This article shows experimentally the thermal performance of two test cells with different coverage systems, Ught Green Roof （LGR） and ceramic roof by analyzing internal surface temperatures （IST） in the ceiling and dry bulb temperatures （DBT）. The objective was to evaluate the spatial distnbution of temperatures in buildings according to spatial and temporal Dynamic CUmato[ogy approaches. An experimental, typical day for heat conditions was determined. The data of the main climatic vari- ables provided by an automatic weather station and temperatures inside the test cells were collected using thermocouples installed such that the entire space is included. The results led to the conclusion that the LGR has a balanced IST and DBT spatial distribution compared with ceramic roofs. Nevertheless, the analysis of the thermal performance is only one of the variables that must be considered when developing a construction proposal that is adapted to the context. The manner in which the thermocouples were placecl inside the test cells also showed the importance of specifying the location of the sensors in experimental studies on the behavior and thermal performance of buildings.

NUMERICAL SIMULATION STUDIES ON SHORT-RANGE CLIMATIC VARIATION

Several global and regional climatic models(including atmosphere models, ocean models and coupled atmosphere-ocean models)are improved and developed to simulate the predictability of short-range(i.e.monthly,sea- sonal,interannual)climate variability,based on the understanding of global and regional climatic characteristics and processes,and according to the theorem of climatological dynamics.The results of numerical experiment show that some are very encouraging,some others reveal problems existed.However,the model and data are being more and more ad- vanced.