scholarly journals Study of Daily Extreme Temperature Indices over Sutlej Basin, N-W Himalayan Region, India

2015 ◽  
Vol 17 (2) ◽  
pp. 301-311 ◽  
Keyword(s):  
Extreme Temperature ◽  
Climatic Conditions ◽  
Temperature Data ◽  
Himalayan Region ◽  
North West ◽  
Management Board ◽  
The World ◽  
Expert Team ◽  
Temperature Indices ◽  
Extreme Indices

<div> <p>A detailed analysis of extreme temperature indices for the period of 1970-2005 is conducted over Sutlej river basin located in North-West Himalayan region. For this purpose, daily records of maximum and minimum temperature data were procured from Bhakara Beas Management Board, India for four stations. These stations are installed at varying height from 518m to 976m under different physiographic and climatic conditions. Fourteen extreme indices for temperature as specified by the World Meteorological Organization (WMO) Commission for Climatology (CCL)/Climate Variability and Predictability (CLIVAR) Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI) are derived with the aid of RClimDex software. &nbsp;Linear Regression (LR) method is employed for detecting annual as well as monthly trends in extreme indices of temperature over the period of thirty six years (1970-2005). Large spatial and inter-annual variability in trends of extreme indices is observed. However, a rise in diurnal temperature range is observed for the basin as a whole. This may be attributed to the decrease observed in maximum T<sub>Min</sub> (TXn) and warm nights (TN90p) coupled with the increase in maximum T<sub>Max</sub> (TXx).</p> </div> <p>&nbsp;</p>

scholarly journals Changes in extreme temperature indices over the Peripannonian region of Bosnia and Herzegovina

Geografie ◽  
2019 ◽  
Vol 124 (1) ◽  
pp. 19-40
Author(s):  
Tatjana Popov ◽  
Slobodan Gnjato ◽  
Goran Trbić
Keyword(s):  
Bosnia And Herzegovina ◽  
Extreme Temperature ◽  
The Arctic ◽  
The North ◽  
Expert Team ◽  
Temperature Indices ◽  
Maximum Temperatures ◽  
The Arctic Oscillation ◽  
The North Atlantic Oscillation ◽  
Cold Extremes

The paper analyzes changes in extreme temperature indices over the Peripannonian region of Bosnia and Herzegovina. Data on daily minimum and maximum temperatures during the period 1961–2016 from four meteorological stations were used for the calculation in the RClimDex (1.0) sopware trends in 16 indices recommended by the Expert team on climate change detection and indices. The estimated significant upward tendency in indices of warm extremes and downward in cold-related indices confirm that warming is present. The highest trend values were obtained for indices TXx, TNn, TN90p, TX90p, SU25, SU30 and WSDI. The results indicate significant distributional changes in the period 1987−2016 compared to the period 1961−1990. A significant positive (negative) correlation between the East-Atlantic pattern and indices of warm (cold) extremes was determined throughout the year. In winter and spring, significant links to the North Atlantic Oscillation and the Arctic Oscillation, respectively, were also found.

Temperature Extremes over China Simulated by the Beijing Climate Center Climate System Model (BCC_CSM1.0)

2013 ◽  
Vol 361-363 ◽  
pp. 898-902
Author(s):  
Jing Xin Li ◽  
Shi Gong Wang ◽  
Ke Zheng Shang ◽  
Yan Li ◽  
Tian Yi Hao ◽  
...  
Keyword(s):  
Extreme Temperature ◽  
Temperature Data ◽  
Climate System ◽  
System Model ◽  
Tibet Plateau ◽  
Temperature Extremes ◽  
Climate System Model ◽  
Extreme Temperature Events ◽  
Qinghai Tibet Plateau ◽  
Extreme Indices

Extreme temperature events in China have been simulated by using the Beijing Climate Center Climate System Model (BCC_CSM1.0). Daily observed temperature data for 1961-2006 at stations in China are used for comparison. The result shows that the value of simulation is consistent with the observation. But the consequence has a lower value especially Qinghai-Tibet Plateau; there is a good simulation for BCC_CSM1.0 for temperature and extreme indices over China in a certain range of error. Trends of indices of extreme temperature are increased.

scholarly journals Projecting Changes in Temperature Extremes in the Han River Basin of China Using Downscaled CMIP5 Multi-Model Ensembles

Atmosphere ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 424
Author(s):  
Weiwei Xiao ◽  
Bin Wang ◽  
De Li Liu ◽  
Puyu Feng
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Extreme Temperature ◽  
Future Climate ◽  
Extreme Weather Events ◽  
Future Climate Change ◽  
Han River ◽  
Han River Basin ◽  
Temperature Indices ◽  
Extreme Indices

Estimating the changes in the spatial–temporal characteristics of extreme temperature events under future climate scenarios is critical to provide reference information to help mitigate climate change. In this study, we analyzed 16 extreme temperature indices calculated based on downscaled data from 28 Global Climate Models (GCMs) that were obtained from Coupled Model Intercomparison Project Phase 5 (CMIP5) under Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios in the Han River Basin (HRB). The results indicate that the downscaled data from 28 GCMs reproduced a consistent sign of recent trends for all extreme temperature indices except the DTR for the historical period (1961–2013). We found significantly increasing trends for the warm extreme indices (i.e., TXx, TNx, TX90p, TN90p, SU, TR, and WSDI) and considerably decreasing trends for the cold extreme indices (i.e., TX10p, TN10p, CSDI, FD, ID) under both the RCP4.5 and 8.5 scenarios for 2021–2100. Spatially, great changes in warm extremes will occur in the west and southeast of the HRB in the future. The projected changes in extreme temperatures will impact the eco-environment and agricultural production. Our findings will help regional managers adopt countermeasures and strategies to adapt to future climate change, especially extreme weather events.

GREENHOUSE TECHNOLOGY

2015 ◽  
Vol 3 (9SE) ◽  
pp. 1-3
Author(s):  
Shakuntala Pandey ◽  
Anil Pandey
Keyword(s):  
Environmental Conditions ◽  
Extreme Temperature ◽  
Farming Systems ◽  
Climatic Conditions ◽  
Economic Power ◽  
Economic Prosperity ◽  
Missed Opportunities ◽  
Agricultural Growth ◽  
The World ◽  
Effective Technology

Growing plants is both an art and a science. About 95% of plants, either food crops or cash crops are grown in open field. Since time immemorial, man has learnt how to grow plants under natural environmental conditions. In some of the temperate regions where the climatic conditions are extremely adverse and no crops can be grown, man has developed methods of growing some high. Value crop continuously by providing protection from the excessive cold, which is called as Greenhouse Technology. So, Greenhouse Technology is the technique of providing favorable environment condition to the plants. It is rather used to protect the plants from the adverse climatic conditions such as wind, cold, precipitation, excessive radiation, extreme temperature, insects and diseases. It is also of vital importance to create an ideal micro climate around the plants. Greenhouses are framed or inflated structures covered with transparent or translucent material large enough to grow crops under partial or fully controlled environmental conditions to get optimum growth and productivity. Agriculture is the backbone of India's economic activity and our experience during the last 50 years has demonstrated the strong correlation between agricultural growth and economic prosperity. The present agricultural scenario is a mix of outstanding achievements and missed opportunities. If India has to emerge as an economic power in the world, our agricultural productivity should equal those countries, which are currently rated as economic power of the world. We need a new and effective technology which can improve continuously the productivity, profitability, sustainability of our major farming systems. One such technology is the greenhouse technology. Although it is centuries old, it is new to India.

scholarly journals Retrospection of Heatwave and Heat Index: A Case Study using ERA5 Dataset

2021 ◽  
Author(s):  
Amit Awasthi ◽  
Kirti Vishwakarma ◽  
Kanhu Charan Pattnayak
Keyword(s):  
Relative Humidity ◽  
Heat Waves ◽  
Extreme Temperature ◽  
Surface Air Temperature ◽  
Climatic Conditions ◽  
Heat Index ◽  
The World ◽  
Definition Of ◽  
Different Parts

Abstract The frequency and intensity of extreme events especially Heat Waves (HW) are growing all around the world which ultimately poses a serious threat to the health of individuals. To quantify the effects of extreme temperature, appropriate information, and the importance of HW and Heat Index (HI) are carefully discussed for different parts of the world. Varied definitions of the HW and HI formula proposed and used by different countries are carried out systematically continent-wise. Different studies highlighted the number of definitions of HW, however mostly used Steadman’s formulae for the calculation of HI that uses surface air temperature and relative humidity as climatic fields which was developed in the late 1970s. Since then, dramatic changes in climatic conditions have been observed as evident from the ERA5 datasets which need to be addressed. Likewise, the definition of HW, which is modified by the researchers as per the geographic conditions, necessary modification in Steadman’s equation also needs to be done. This study will help the researcher community to understand the importance of HW and HI and think about its modification which further helps in better adaptation and application. Furthermore, it opens the scope to develop an equation based on the present scenario keeping in mind the basics of an index as considered by Steadman.

scholarly journals Retrospection of heatwave and heat index

2021 ◽  
Author(s):  
Amit Awasthi ◽  
Kirti Vishwakarma ◽  
Kanhu Charan Pattnayak
Keyword(s):  
Relative Humidity ◽  
Heat Waves ◽  
Extreme Temperature ◽  
Surface Air Temperature ◽  
Climatic Conditions ◽  
Heat Index ◽  
Threefold Increase ◽  
The World ◽  
Definition Of ◽  
Different Parts

AbstractThe frequency and intensity of extreme events especially heat waves (HW) are growing all around the world which ultimately poses a serious threat to the health of individuals. To quantify the effects of extreme temperature, appropriate information, and the importance of HW and heat index (HI) are carefully discussed for different parts of the world. Varied definitions of the HW and HI formula proposed and used by different countries are carried out systematically continent-wise. Different studies highlighted the number of definitions of HW; however, mostly used Steadman’s formulae, which was developed in the late 1970s, for the calculation of HI that uses surface air temperature and relative humidity as climatic fields. Since then, dramatic changes in climatic conditions have been observed as evident from the ERA5 datasets which need to be addressed; likewise, the definition of HW, which is modified by the researchers as per the geographic conditions. It is evident from the ERA5 data that the temperature has increased by 1–2 °C as compared to the 1980s. There is a threefold increase in the number of heatwave days over most of the continents in the last 40 years. This study will help the researcher community to understand the importance of HW and HI. Furthermore, it opens the scope to develop an equation based on the present scenario keeping in mind the basics of an index as considered by Steadman.

Russia in the World Production and Market of Potatoes and Fruit and Vegetable Products

2020 ◽  
pp. 74-83
Author(s):  
Yu.I. Agirbov ◽  
◽  
R.R. Mukhametzyanov ◽  
E.V. Britik ◽  
◽  
...  
Keyword(s):  
Fruits And Vegetables ◽  
World Market ◽  
Climatic Conditions ◽  
Global Rating ◽  
Vegetable Production ◽  
World Production ◽  
Fruit And Vegetable ◽  
Vegetable Products ◽  
The World ◽  
Qualitative Changes

In 1961-2018 in the world as a whole, the gross harvest of potatoes increased from 290.6 million tons to 368.2 million tons, that is, 1.36 times. Over the same period, the production of vegetables and food melons increased from 197.7 million tons to 1,088.8 million tons (5.51 times), and fruits and berries from 199.9 million tons to 867.8 million tons (4.34 times). In a number of states in 1992-2018 the corresponding increase significantly exceeded the average values for the world as a whole, as a result of which their place in the global ranking increased, and the positions of some traditional producers of potatoes and fruits and vegetables decreased. For example, in terms of gross harvest of potatoes in 1992, Russia was in first place, and Poland was in third, while in 2018 they were in 4th and 9th positions, respectively. In terms of vegetable production, Italy and Japan were displaced from 4th and 5th places, which were taken by Turkey and Nigeria. In terms of gross harvests of fruits and berries, Turkey occupied the fifth position in total world production by 2018, although in 1992 it belonged to Italy. Quantitative and qualitative changes inevitably have a significant impact on both the volume of the world market and the parameters of international trade in potatoes, vegetables and melons, fruits and berries. Processes in foreign economic liberalization and economic integration contributed to an increase in the specialization and concentration of production of relevant plants in countries with more favorable natural and climatic conditions, as well as a gradual increase in demand for potatoes, vegetables and melons, fruits and berries from a number of states, including those that used to meet the needs of their population in large volumes at the expense of their own producers. The Russian Federation is one of the significant players in the world potato and fruit and vegetable market. Despite the increase in gross fruit and vegetable production in recent years, Russia’s positions in the global rating dropped from 7th to 10th place in vegetables and melons, from 20th to 31st place in fruits and berries. As for potatoes, there was a decrease in the volume of its production, as a result, Russia dropped from 1st place in 1992 to 4th place in 2018.

scholarly journals Business Days Time Series Weekly Trend and Seasonality

2021 ◽  
Vol 5 (1) ◽  
pp. 26
Author(s):  
Karlis Gutans
Keyword(s):  
Time Series ◽  
Global Warming ◽  
Exchange Rates ◽  
Temperature Data ◽  
Adjustment Method ◽  
Currency Exchange ◽  
Currency Exchange Rates ◽  
Time Series Decomposition ◽  
The World

The world changes at incredible speed. Global warming and enormous money printing are two examples, which do not affect every one of us equally. “Where and when to spend the vacation?”; “In what currency to store the money?” are just a few questions that might get asked more frequently. Knowledge gained from freely available temperature data and currency exchange rates can provide better advice. Classical time series decomposition discovers trend and seasonality patterns in data. I propose to visualize trend and seasonality data in one chart. Furthermore, I developed a calendar adjustment method to obtain weekly trend and seasonality data and display them in the chart.

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.

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