Topological Study of Some Covid-19 Drugs by Using Temperature Indices

2022 ◽  
pp. 1-12
Author(s):  
Wang Zhen ◽  
Asma Khalid ◽  
Parvez Ali ◽  
Haider Rehman ◽  
Muhammad Kamran Siddiqui ◽  
...  
Keyword(s):  
Temperature Indices

scholarly journals Change in mean and extreme temperature at Yingkou station in Northeast China from 1904 to 2017

2021 ◽  
Vol 164 (3-4) ◽  
Author(s):  
Xiaoying Xue ◽  
Guoyu Ren ◽  
Xiubao Sun ◽  
Panfeng Zhang ◽  
Yuyu Ren ◽  
...  
Keyword(s):  
Northeast China ◽  
Extreme Temperature ◽  
Maximum Temperature ◽  
Data Set ◽  
The Past ◽  
Significant Downward Trend ◽  
Cold Events ◽  
Temperature Indices ◽  
Increasing Trends ◽  
Change In Mean

AbstractThe understanding of centennial trends of extreme temperature has been impeded due to the lack of early-year observations. In this paper, we collect and digitize the daily temperature data set of Northeast China Yingkou meteorological station since 1904. After quality control and homogenization, we analyze the changes of mean and extreme temperature in the past 114 years. The results show that mean temperature (Tmean), maximum temperature (Tmax), and minimum temperature (Tmin) all have increasing trends during 1904–2017. The increase of Tmin is the most obvious with the rate of 0.34 °C/decade. The most significant warming occurs in spring and winter with the rate of Tmean reaching 0.32 °C/decade and 0.31 °C/decade, respectively. Most of the extreme temperature indices as defined using absolute and relative thresholds of Tmax and Tmin also show significant changes, with cold events witnessing a more significant downward trend. The change is similar to that reported for global land and China for the past six decades. It is also found that the extreme highest temperature (1958) and lowest temperature (1920) records all occurred in the first half of the whole period, and the change of extreme temperature indices before 1950 is different from that of the recent decades, in particular for diurnal temperature range (DTR), which shows an opposite trend in the two time periods.

scholarly journals The Effect of Urbanization on Temperature Indices in the Philippines

2021 ◽  
Author(s):  
John A. Manalo ◽  
Jun Matsumoto ◽  
Hiroshi G. Takahashi ◽  
Marcelino Q. Villafuerte ◽  
Lyndon Mark P. Olaguera ◽  
...  
Keyword(s):  
The Philippines ◽  
Temperature Indices

Heat balance model for a human body in the form of wet bulb globe temperature indices

2018 ◽  
Vol 71 ◽  
pp. 1-9 ◽  
Author(s):  
Tomonori Sakoi ◽  
Tohru Mochida ◽  
Yoshihito Kurazumi ◽  
Kohei Kuwabara ◽  
Yosuke Horiba ◽  
...  
Keyword(s):  
Human Body ◽  
Heat Balance ◽  
Balance Model ◽  
Wet Bulb Globe Temperature ◽  
Temperature Indices ◽  
Globe Temperature

DISTRIBUTION OF TEMPERATURE INDICES OF EXTREME IN THE TERRITORY OF THE EUROPEAN PART OF RUSSIA IN THE PERIOD 1980-2019

2021 ◽  
Vol 31 (4) ◽  
pp. 437-442
Author(s):  
V.V. Guryanov ◽  
A.K. Sungatullin
Keyword(s):  
Temporal Variability ◽  
Statistical Processing ◽  
European Part ◽  
The North ◽  
Hourly Data ◽  
European Part Of Russia ◽  
Spatial Grid ◽  
Temperature Indices ◽  
Spatio Temporal ◽  
Maximum Temperatures

The spatio-temporal variability of the average values of temperature indices of climate extremity in the territory of the European part of Russia (ER) in 1980-2019 is presented. To calculate the extremeness indices, we used hourly data on the maximum and minimum temperatures obtained using the ERA5 reanalysis on a 1°´1° spatial grid. Statistical processing of the index values revealed an increase in the temperature indices TNX, TNN, TXN, TXX, associated with the minimum and maximum temperatures, with the exception of the north and southeast of the region. An increase in the number of sunny days and a decrease in the number of frosty days were also revealed.

Trends in extreme temperature indices in Huang-Huai-Hai River Basin of China during 1961–2014

2017 ◽  
Vol 134 (1-2) ◽  
pp. 51-65 ◽  
Author(s):  
Gang Wang ◽  
Denghua Yan ◽  
Xiaoyan He ◽  
Shaohua Liu ◽  
Cheng Zhang ◽  
...  
Keyword(s):  
River Basin ◽  
Extreme Temperature ◽  
Temperature Indices

scholarly journals Historical Spatial and Temporal Climate Trends in Southern Ontario, Canada

2017 ◽  
Vol 56 (10) ◽  
pp. 2767-2787 ◽  
Author(s):  
Hussein Wazneh ◽  
M. Altaf Arain ◽  
Paulin Coulibaly
Keyword(s):  
Climate Models ◽  
Global Climate ◽  
Global Climate Models ◽  
Climate Indices ◽  
Total Precipitation ◽  
Southern Ontario ◽  
Temperature And Precipitation ◽  
Annual Total ◽  
Precipitation Indices ◽  
Temperature Indices

AbstractSpatial and temporal trends in historical temperature and precipitation extreme events were evaluated for southern Ontario, Canada. A number of climate indices were computed using observed and regional and global climate datasets for the area of study over the 1951–2013 period. A decrease in the frequency of cold temperature extremes and an increase in the frequency of warm temperature extremes was observed in the region. Overall, the numbers of extremely cold days decreased and hot nights increased. Nighttime warming was greater than daytime warming. The annual total precipitation and the frequency of extreme precipitation also increased. Spatially, for the precipitation indices, no significant trends were observed for annual total precipitation and extremely wet days in the southwest and the central part of Ontario. For temperature indices, cool days and warm night have significant trends in more than 90% of the study area. In general, the spatial variability of precipitation indices is much higher than that of temperature indices. In terms of comparisons between observed and simulated data, results showed large differences for both temperature and precipitation indices. For this region, the regional climate model was able to reproduce historical observed trends in climate indices very well as compared with global climate models. The statistical bias-correction method generally improved the ability of the global climate models to accurately simulate observed trends in climate indices.

scholarly journals Identifikasi perubahan suhu udara dan curah hujan di Bogor

2020 ◽  
Vol 10 (4) ◽  
pp. 616-626
Author(s):  
Rahmat Hidayat ◽  
Alfi Wardah Farihah
Keyword(s):  
Air Temperature ◽  
Extreme Events ◽  
Climatic Parameters ◽  
West Java ◽  
Climate Parameters ◽  
Increased Temperature ◽  
Temperature Indices ◽  
Consecutive Dry Days

Climate datasets were analyzed to identify the changing climatic parameters and extreme events in Bogor, West Java. This study aims to analyze the characteristic of observational datasets in Baranangsiang and Dramaga, namely, air temperature and rainfall, and to indentify the changing structure of those climate parameters. The analysis has been conducted using RClimdex to understand the long-term changing air temperature and rainfall based on 10 indices for air temperature and 8 indices for rainfall. Results show that the rainfall in Baranangsiang has the daily mean of 10 mm/day and in Dramaga of 8 mm/day. The daily mean of air temperature in Baranangsiang and Dramaga is 27˚C and 25.5˚C, respectively. Generally, the declined slopes of the temperature indices in Barangsiang, namely, TN90p, TNx, TX10p, TNn, TXn, TR20, and SU25, indicate cooler temperature. In Dramaga, the increased temperature indices, namely, TN90p, TX90p, TXx, SU25, and TXn, indicate the warmer temperature. The rainfall indices generally decline, except for CDD, which indicate the increased consecutive dry days in Baranangsiang.   

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