scholarly journals Trends in mean maximum temperature, mean minimum temperature and mean relative humidity for Lautoka, Fiji during 2003–2013

2017 ◽  
Vol 26 (4) ◽  
pp. 415-422 ◽  
Author(s):  
Syed Ghani ◽  
Aman Deo ◽  
Md Iqubal ◽  
Ramendra Prasad
Keyword(s):  
Relative Humidity ◽  
Minimum Temperature ◽  
Diurnal Temperature Range ◽  
Maximum Temperature ◽  
Small Island ◽  
Climate Conditions ◽  
Temperature Changes ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Recent Climate

The current work observes the trends in Lautoka’s temperature and relative humidity during the period 2003–2013, which were analyzed using the recently updated data obtained from Fiji Meteorological Services (FMS). Four elements, mean maximum temperature, mean minimum temperature along with diurnal temperature range (DTR) and mean relative humidity are investigated. From 2003–2013, the annual mean temperature has been enhanced between 0.02 and 0.080C. The heating is more in minimum temperature than in maximum temperature, resulting in a decrease of diurnal temperature range. The statistically significant increase was mostly seen during the summer months of December and January. Mean Relative Humidity has also increased from 3% to 8%. The bases of abnormal climate conditions are also studied. These bases were defined with temperature or humidity anomalies in their appropriate time sequences. These established the observed findings and exhibited that climate has been becoming gradually damper and heater throughout Lautoka during this period. While we are only at an initial phase in the probable inclinations of temperature changes, ecological reactions to recent climate change are already evidently noticeable. So it is proposed that it would be easier to identify climate alteration in a small island nation like Fiji.

scholarly journals Association between meteorological factors and audiogram configurations in patients with sudden sensorineural hearing loss: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e045768
Author(s):  
Jilei Zhang ◽  
Shangwei Ji ◽  
Xin Ma ◽  
Lisheng Yu ◽  
Yuanyuan Jing
Keyword(s):  
Hearing Loss ◽  
Relative Humidity ◽  
Sensorineural Hearing Loss ◽  
Diurnal Temperature Range ◽  
Meteorological Factors ◽  
Sudden Sensorineural Hearing Loss ◽  
Sensorineural Hearing ◽  
Secondary Outcome ◽  
Diurnal Temperature ◽  
Temperature Range

ObjectiveWe aimed to determine the association between meteorological factors and sudden sensorineural hearing loss (SSNHL) audiogram configurations.DesignRetrospective review of medical records from 1 October 2007 to 31 December 2018.SettingA tertiary hospital.Participants510 patients with SSNHL who had data on the exact date of SSNHL onset and underwent audiological evaluation within 14 days were included.Primary and secondary outcome measuresDaily values of meteorological factors, including maximum and minimum temperature, mean temperature and its day-to-day change, diurnal temperature range, atmospheric pressure, mean and maximum wind speed and relative humidity, and seasonal distributions.ResultsAmong the 510 patients (259 women (50.8%); mean (SD) age, 46.4 (15.5) years), 108 (21.2%) displayed ascending patterns, 143 (28.0%) displayed descending patterns, 129 (25.3%) displayed flat patterns and 130 (25.5%) displayed profound patterns of audiograms. The diurnal temperature range on the day of SSNHL onset in patients with profound patterns was significantly higher than that in patient with ascending (mean difference (MD), 2.2°C; 95% CI, 0.7°C to 3.7°C; p=0.001) and descending (MD, 1.5°C; 95% CI, 0.1°C to 2.9°C; p=0.031) patterns. The relative humidity was the highest on the day of SSNHL onset in patients with ascending patterns and showed a significant difference compared with that in patients with profound patterns (MD, 8.0%; 95% CI, 0.7% to 15.3%; p=0.026). Seasonal distribution did not differ among patients with different audiogram configurations.ConclusionsProfound audiogram patterns correlated with high diurnal temperature range, while ascending audiogram patterns correlated with high relative humidity in patients with SSNHL. No correlation was observed between seasons and audiogram configurations.

scholarly journals U.S. Diurnal Temperature Range Variability and Regional Causal Mechanisms, 1901–2002

2012 ◽  
Vol 25 (20) ◽  
pp. 7216-7231 ◽  
Author(s):  
Ryan G. Lauritsen ◽  
Jeffrey C. Rogers
Keyword(s):  
United States ◽  
Soil Moisture ◽  
Diurnal Temperature Range ◽  
Cloud Cover ◽  
The United States ◽  
Maximum Temperature ◽  
Climatic Research Unit ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Cover Soil

Abstract Long-term (1901–2002) diurnal temperature range (DTR) data are evaluated to examine their spatial and temporal variability across the United States; the early century origin of the DTR declines; and the relative regional contributions to DTR variability among cloud cover, precipitation, soil moisture, and atmosphere/ocean teleconnections. Rotated principal component analysis (RPCA) of the Climatic Research Unit (CRU) Time Series (TS) 2.1 dataset identifies five regions of unique spatial U.S. DTR variability. RPCA creates regional orthogonal indices of cloud cover, soil moisture, precipitation, and the teleconnections used subsequently in stepwise multiple linear regression to examine their regional impact on DTR, maximum temperature (Tmax), and minimum temperature (Tmin). The southwestern United States has the smallest DTR and cloud cover trends as both Tmax and Tmin increase over the century. The Tmin increases are the primary influence on DTR trend in other regions, except in the south-central United States, where downward Tmax trend largely affects its DTR decline. The Tmax and DTR tend to both exhibit simultaneous decadal variations during unusually wet and dry periods in response to cloud cover, soil moisture, and precipitation variability. The widely reported post-1950 DTR decline began regionally at various times ranging from around 1910 to the 1950s. Cloud cover alone accounts for up to 63.2% of regional annual DTR variability, with cloud cover trends driving DTR in northern states. Cloud cover, soil moisture, precipitation, and atmospheric/oceanic teleconnection indices account for up to 80.0% of regional variance over 1901–2002 (75.4% in detrended data), although the latter only account for small portions of this variability.

On-Line Monitoring of Charge Unit by Using Fiber Bragg Grating Temperature Sensors

2012 ◽  
Vol 503-504 ◽  
pp. 1672-1678
Author(s):  
Zhao Yang ◽  
Xiao Ping Xu ◽  
Chuan Li ◽  
Yan Chen ◽  
Jiang Chun Xu ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Fiber Bragg Grating ◽  
Minimum Temperature ◽  
Maximum Temperature ◽  
Daily Minimum Temperature ◽  
Bragg Grating ◽  
Temperature Changes ◽  
Temperature Range ◽  
On Line

The charge unit supply power when the power is cut off. It has been the necessary components in every type of substations to ensure the continuous operations of electric relays, automatic devices and circuit breakers. By using contacting electrical insulating Fiber Bragg Grating temperature sensor, the monitored equipment can be measured and controlled under the safe temperature. The temperatures of three fans and environment have been surveyed since June 6, 2010, in the charge unit of Yanjin substation’s main control room. The real-time monitoring of 24-hours indicates that the temperature changes in the range of 1°C. At the long-term of 479 days, the average daily minimum temperature range of three fans is 12.48°C, and the maximum range is 23.07°C. The maximum temperature is 39.14°C on April 30, 2011, and the minimum temperature is 23.98°C on January 10, 2011. The daily average of ambient temperature range is 12.04 °C, the maximum temperature is 38.38 °C on July 16, 2010, and the minimum temperature is 26.34 °C on January 9, 2011. The maximum difference between the temperature of fan and the ambient temperature is 7.60 °C on October 23, 2010. According to the relevant standards and monitoring results, the maximum threshold of fan temperature is defined to 85°C, and the threshold of temperature rise is 20°C.

scholarly journals Urbanization Effect on the Diurnal Temperature Range: Different Roles under Solar Dimming and Brightening*

2012 ◽  
Vol 25 (3) ◽  
pp. 1022-1027 ◽  
Author(s):  
Kai Wang ◽  
Hong Ye ◽  
Feng Chen ◽  
Yongzhu Xiong ◽  
Cuiping Wang
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Diurnal Temperature Range ◽  
Meteorological Data ◽  
Maximum Temperature ◽  
Urbanization Effect ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Increasing Trend ◽  
Urban And Rural Areas

Abstract Based on the 1960–2009 meteorological data from 559 stations across China, the urbanization effect on the diurnal temperature range (DTR) was evaluated in this study. Different roles of urbanization were specially detected under solar dimming and solar brightening. During the solar dimming time, both urban and rural stations showed decreasing trends in maximum temperature (Tmax) because of decreased radiation, suggesting that the dimming effects are not only evident in urban areas but also in rural areas. However, minimum temperature (Tmin) increased more substantially in urban areas than in rural areas during the dimming period, resulting in a greater decrease in the DTR in the urban areas. When the radiation reversed from dimming to brightening, the change in the DTR became different. The Tmax increased faster in rural areas, suggesting that the brightening could be much stronger in rural areas than in urban areas. Similar trends of Tmin between urban and rural areas appeared during the brightening period. The urban DTR continued to show a decreasing trend because of the urbanization effect, while the rural DTR presented an increasing trend. The remarkable DTR difference in the urban and rural areas showed a significant urbanization effect in the solar brightening time.

scholarly journals Attribution of Recent Temperature Changes in the Australian Region

2005 ◽  
Vol 18 (3) ◽  
pp. 457-464 ◽  
Author(s):  
David J. Karoly ◽  
Karl Braganza
Keyword(s):  
Twentieth Century ◽  
Diurnal Temperature Range ◽  
Significant Contribution ◽  
Climate Models ◽  
Climate Model ◽  
Temperature Changes ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Climate Model Simulations ◽  
Natural Climate

Abstract Variations of Australian-average mean temperature and diurnal temperature range over the twentieth century are investigated. The observed interannual variability of both is simulated reasonably well by a number of climate models, but they do not simulate the observed relationship between the two. Comparison of the observed warming and reduction in diurnal temperature range with climate model simulations shows that Australian temperature changes over the twentieth century were very unlikely to be due to natural climate variations alone. It is likely that there has been a significant contribution to the observed warming during the second half of the century from increasing atmospheric greenhouse gases and sulfate aerosols.

scholarly journals Temporal Analysis of Temperature and Precipitation Trends in Shaheed Benazir Abad Sindh, Pakistan

2017 ◽  
Vol 7 (6) ◽  
pp. 2171-2176 ◽  
Author(s):  
S. R. Samo ◽  
N. Bhatti ◽  
A. Saand ◽  
M. A. Keerio ◽  
D. K. Bangwar
Keyword(s):  
Diurnal Temperature Range ◽  
Kendall Test ◽  
Maximum Temperature ◽  
Linear Regression Method ◽  
Positive Trend ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Temperature And Precipitation ◽  
Mann Kendall Test ◽  
Rainy Days

Temperature and precipitation variations have a huge environmental, social and economic impact. This study aims to analyze the temporal variation of temperature and precipitation in Shaheed Benazir Abad district by using the linear regression method, the trend magnitude, the Mann-Kendall test and the Sen’s estimator of slope. The annual precipitation and monthly temperature data of Shaheed Benazir Abad for the period of 1996-2014 are considered. The result shows that the Diurnal temperature range of all months is decreasing due to the increasing of monthly minimum temperature at a faster rate than the monthly maximum temperature. However, the Diurnal temperature range of extreme events is increasing. The results obtained by using Mann-Kendall test revealed that rainfall exhibits significant positive trend. The trends of rainfall and rainy days show that the amount of rainfall is increasing much more rapidly than that of rainy days which indicates the occurrence of heavy events.

The Relationship between Diurnal Temperature Range (DTR) and Rainfall over Northern Thailand

2014 ◽  
Vol 931-932 ◽  
pp. 614-618
Author(s):  
Lukas Beule ◽  
Sarintip Tantanee
Keyword(s):  
Diurnal Temperature Range ◽  
Surface Air Temperature ◽  
Lag Time ◽  
Maximum Temperature ◽  
Northern Thailand ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Rainfall Prediction ◽  
The Impact ◽  
The Relationship

Since 1950, it has been found that the global diurnal temperature range (DTR), the difference between the minimum temperature (Tmin) and the maximum temperature (Tmax) of daily surface air temperature, has been temporally decreasing in several places all over the world. The aim of this study is to investigate the effect of DTR on the amount of total monthly rainfall (TRF) and the number of rainy days per month (RD), as well as to evaluate the possibility of using DTR as a parameter in the rainfall prediction process. The study area is in northern Thailand, which covers about one third of the total area of the country. The impact of DTR on rainfall over the studied area is evaluated from the relationship between DTR and TRF, as well as DTR and RD, by using long-term meteorological monthly data over 30 years (1978-2007). Besides, the relationships of RD, TRF, and the temperature of mean monthly Tmax and Tmin are also analysed. The significance of the correlation between the two parameters is identified by the coefficient of correlation. The possibility of using DTR is evaluated by estimating the relationships between DTR and a one month-lag time of RD and TRF. It is found that the DTR has a strong statistically significant ( > 99%) negative correlation with TRF and RD, as well as with the one month-lag time of TRF and RD. Therefore, it is possible to consider DTR as a significant parameter for rainfall prediction.

Sign in / Sign up

Export Citation Format

Share Document