scholarly journals Temperature trend analysis and extreme high temperature prediction based on weighted Markov Model in Lanzhou

2021 ◽  
Author(s):  
Zhiqiang Pang ◽  
Zhaoxu Wang
Keyword(s):  
High Temperature ◽  
Markov Model ◽  
Trend Analysis ◽  
Temperature Trend ◽  
Temperature Prediction ◽  
Extreme High Temperature

scholarly journals Temperature Trend Analysis and Extreme High Temperature Prediction Based on Weighted Markov Model in Lanzhou

2021 ◽  
Author(s):  
Zhiqiang Pang ◽  
Zhaoxu Wang
Keyword(s):  
High Temperature ◽  
Markov Model ◽  
Prediction Model ◽  
Trend Analysis ◽  
High Temperatures ◽  
Minimum Temperature ◽  
Maximum Temperature ◽  
Temperature Prediction ◽  
Real Situation ◽  
Change Trend

Abstract In this study, temporIn this study, temporal trend analysis was conducted on the annual and quarterly meteorological variables of Lanzhou from 1951 to 2016, and a weighted Markov model for extremely high-temperature prediction was constructed. Several non-parametric methods were used to analyze the time trend. Considering that sequence autocorrelation may affect the accuracy of the trend test, we performed an autocorrelation test and carried out trend analysis for sequences with autocorrelation after removing correlation. The results show that the maximum temperature, minimum temperature, and average temperature in Lanzhou have a significant rising trend and show different performances in each season. In detail, the maximum temperature in summer does not have a significant change trend, while the minimum temperature in winter is the most significant rising trend, which leads to more and more ”warm winter” phenomenon. Finally, we construct a weighted Markov prediction model for extremely high temperatures and obtain the conclusion that the prediction results by the model are consistent with the real situation. and show different performances in each season. In detail, the maximum temperature in summer does not have a significant change trend, while the minimum temperature in winter is the most significant rising trend, which leads to more and more ”warm winter” phenomenon. Finally, we construct a weighted Markov prediction model for extremely high temperatures and obtain the conclusion that the prediction results by the model are consistent with the real situation.

Host choice, settling and folding leaf behaviors of the larval rice leaf folder under heat stress

2016 ◽  
Vol 106 (6) ◽  
pp. 809-817 ◽  
Author(s):  
M.A. Bodlah ◽  
A.-X. Zhu ◽  
X.-D. Liu
Keyword(s):  
Heat Stress ◽  
High Temperature ◽  
Host Choice ◽  
Cnaphalocrocis Medinalis ◽  
Behavioral Traits ◽  
The Third ◽  
Rice Leaf ◽  
Rice Leaf Folder ◽  
Extreme High Temperature ◽  
Third Instar Larvae

AbstractExtreme high-temperature events are the key factor to determine population dynamics of the rice leaf folder,Cnaphalocrocis medinalis(Guenée), in summer. Although we know that adult of this insect can migrate to avoid heat stress, the behavioral response of larva to high temperature is still unclear. Therefore, impacts of high temperature on behavioral traits ofC. medinalisincluding host choice, settling and folding leaf were observed. The results revealed that these behavioral traits were clearly influenced by high temperature. The larvae preferred maize leaves rather than rice and wheat at normal temperature of 27°C, but larvae experienced a higher temperature of 37 or 40°C for 4 h preferred rice leaves rather than maize and wheat. Capacity of young larvae to find host leaves or settle on the upper surface of leaves significantly reduced when they were treated by high temperature. High temperature of 40°C reduced the leaf-folding capacity of the third instar larvae, but no effects were observed on the fourth and fifth instar larvae. Short-term heat acclimation could not improve the capacity of the third instar larvae to make leaf fold under 40°C.

Different responses of scleractinian coral Acropora pruinosa from Weizhou Island during extreme high temperature events

Coral Reefs ◽  
2021 ◽  
Author(s):  
Xiaopeng Yu ◽  
Kefu Yu ◽  
Biao Chen ◽  
Zhiheng Liao ◽  
Jiayuan Liang ◽  
...  
Keyword(s):  
High Temperature ◽  
Scleractinian Coral ◽  
Extreme High Temperature

scholarly journals Comparison of Atmospheric Circulation Anomalies between Dry and Wet Extreme High-Temperature Days in the Middle and Lower Reaches of the Yellow River

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1265
Author(s):  
Hangcheng Ge ◽  
Gang Zeng ◽  
Vedaste Iyakaremye ◽  
Xiaoye Yang ◽  
Zongming Wang
Keyword(s):  
High Temperature ◽  
Atmospheric Circulation ◽  
Yellow River ◽  
Wave Train ◽  
The Yellow River ◽  
South Asian High ◽  
Opposite Pattern ◽  
Extreme High Temperature ◽  
Circulation Anomalies ◽  
Atmospheric Circulation Anomalies

Many previous studies have reported that atmospheric circulation anomalies are generally the direct cause of extreme high-temperature (EHT). However, the atmospheric circulation anomalies of EHT days with different humidity and the differences between them are less often discussed, while humidity plays an important role in how people feel in a high-temperature environment. Therefore, this study uses 1961–2016 CN05.1 daily observational data and NCEP/NCAR reanalysis data to classify summer EHT days in China into dry and wet. Furthermore, we investigate the atmospheric circulation anomalies associated with the dry and wet EHT days in the middle and lower reaches of the Yellow River (MLRYR). The results reveal that dry EHT days are likely to be caused by adiabatic heating from anomalous subsidence, while wet EHT days are more likely caused by the low-latitude water vapor and heat anomalies brought by the Western Pacific Subtropical High (WPSH). This may be due to a remarkable westward/southward/narrowed extension of the Continental High (CH)/WPSH/South Asian High (SAH) accompanied by an occurrence of dry EHT day. The opposite pattern is observed for wet EHT days. Moreover, a wave train like the Silk Road pattern from the midlatitudes could affect the dry EHT days, while wet EHT days are more likely to be affected by a wave train from high latitudes. Knowing the specific characteristics of dry and wet EHT days and their associated atmospheric circulations could offer new insights into disaster risk prevention and reduction.

scholarly journals Extreme High‐Temperature Events Over East Asia in 1.5°C and 2°C Warmer Futures: Analysis of NCAR CESM Low‐Warming Experiments

2018 ◽  
Vol 45 (3) ◽  
pp. 1541-1550 ◽  
Author(s):  
Donghuan Li ◽  
Tianjun Zhou ◽  
Liwei Zou ◽  
Wenxia Zhang ◽  
Lixia Zhang
Keyword(s):  
High Temperature ◽  
East Asia ◽  
Extreme High Temperature

Ultra-high temperature ceramics melting temperature prediction via machine learning

2019 ◽  
Vol 45 (15) ◽  
pp. 18551-18555 ◽  
Author(s):  
Nan Qu ◽  
Yong Liu ◽  
Mingqing Liao ◽  
Zhonghong Lai ◽  
Fei Zhou ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Temperature ◽  
Melting Temperature ◽  
Temperature Prediction ◽  
Ultra High Temperature Ceramics ◽  
Ultra High Temperature
Sign in / Sign up

Export Citation Format

Share Document