The Generation of Typical Meteorological Year and Climatic Database of Turkey for the Energy Analysis of Buildings

For sustainable development, a reduction in energy demand is essential. This could be achieved through improving energy efficiency, effective energy conservation and management. The weather conditions of a given region are the most important consideration for the proper design of space AC （Air Conditioning） systems. In this study, the typical meteorological year and climatic database of Turkey for the energy analysis of buildings were generated by SQL （Structured Query Language） database programmimg language. The Finkelstein-Schafer statistical method was applied to analyze the hourly measured weather data of a 23-year period （1989-2012） and select representative TMMs （Typical Meteorological Months）. The selection criteria were based on 13 meteorological parameters. These parameters are the daily mean, maximum and minimum values and ranges of temperature, dew-point and wind velocity and the daily values of global solar radiation. According to results of TMY （Typical Meteorological Year）, climatic database of Turkey including daily or hourly climate variables was created in SQL data tables.

Gendered Narrative and Feminine Modernity:Free Indirect Discourse in Lin Huiyin’s“In Ninety-Nine Degrees of Heat”

In the modern Chinese literary scene,Lin Huiyin(1904-55)was a prominent woman writer who applied free indirect discourse(FID),a“new”narrative device,into her creative writing.In some of her works,FID is not only a new way in which to realize a modern narrative style but also a discreet way to provide her own voice.The existence of slippage between the narrator and character-focalizer deliberately destabilizes the reader,somehow swaying between the narrators authoritative and the character's initial characteristics.In this way,this narrative strategy allows Lin to establish a kind of private space for herself within which to query authority,thereby escaping the material world dominated by male writers at that time.For instance,in her well-known short story,aln Ninety-Nine Degrees of Heat^(Jiushijiu du zhong),Lin Huiyin employed this typical narrative strategy,illustrating the modernity of her creative writing and revealing some meanings of social and gendered narratives.

Cool water brought by upwelling in the Sanya Bay benefits corals in the background of global warming

It has been reported that global warming has negative effects on coral ecosystems in the past 50 years and the effects vary in different ocean environment. In order to make clear the coral reef status in the background of global warming along the south coast of Hainan Island of China, satellite and in situ data are used to retrieve the information of the coral reef status and surrounding environmental factors. The results show that cool water induced by upwelling along the south coast of Hainan Island is found in the area every summer month, especially in the relatively strong El Ni？o years（2002–2003 and 2005）. From the NOAA satellite data, degree heating week（DHW） index does not exceed 3 in Sanya Bay even in the relatively strong El Ni？o years. By comparison of a coral reef growth rate in the Sanya Bay with respect to El Ni？o events from 1957 to 2000, coral＇s growth rate is relatively greater during 1972, 1991–1994 and 1998 El Ni？o event. By analyzing the environmental factors, it is found that the cool water induced by upwelling may be the main reason for protecting corals from global warming effects.

A New Foraminiferal Bioindicator for Long-Term Heat Stress on Coral Reefs

Coral reefs are in terminal decline.For conservation to be effective,naturally depauperate reefs must be distinguished from those recently degraded by humans.Traditional reef monitoring is time consuming and lacks the longevity to make this distinction.Success in using foraminifera as bioindicators for reef health has hitherto levered their response to nutrients.Because ocean heat waves are the dominant driver of coral bleaching and death,there is compelling motivation to develop new foraminiferal bioindicators that inform on temperature stress over meaningful timescales.This study focuses on identifying which foraminifera respond systematically to the temperature stress that kills corals.Statistical models were used to compare endosymbiont-bearing foraminiferal families,collected along a heat-stress gradient spanning the Solomon Islands and New Caledonia,to live coral cover at the same sites.Results indicate that Amphisteginidae foraminifera and coral cover show a significant decline in abundance as heat stress increases along the transect sites.Furthermore,ocean productivity and salinity,both recognized environmental influences on foraminifera,are shown to be subordinate to temperature in their sway of this ecological patterning.These findings indicate the potential for using foraminifera to develop new indices capable of quantifying long-term thermal impacts on reefs.

Pricing Weather Derivatives Index based on Temperature: The Case of Bahir Dar, Ethiopia

In this paper we present a stochastic model for daily average temperature to calculate the temperature indices upon which temperature-based derivatives are written. We propose a seasonal mean and volatility model that describes the daily average temperature behavior using the mean-reverting Ornstein-Uhlenbeck process. We also use higher order continuous-time autoregressive process with lag 3 for modeling the time evolution of the temperatures after removing trend and seasonality. Our model is fitted to 11 years of data recorded, in the period 1 January 2005 to 31 December 2015, Bahir Dar, Ethiopia, obtained from Ethiopia National Meteorological Services Agency. The analytical approximation formulas are used to price heating degree days(HDD) and cooling degree days(CDD) futures. The suggested model is analytically tractable for derivation of explicit prices for CDD and HDD futures and option. The price of the CDD future is calculated, using analytical approximation formulas. Numerical examples are presented to indicate the accuracy of the method. The results show that our model performs better to predict CDD indices.