scholarly journals The Taihang Mountain Region of North China is Experiencing A Significant Warming Trend

2021 ◽  
Vol 13 (2) ◽  
pp. 856
Author(s):  
Tonggang Fu ◽  
Hongzhu Liang ◽  
Hui Gao ◽  
Jintong Liu
Keyword(s):  
North China ◽  
Temporal Trends ◽  
Surface Air Temperature ◽  
Kendall Test ◽  
Warming Trend ◽  
Mountain Region ◽  
Mountainous Regions ◽  
Z Value ◽  
Earth’S Climate ◽  
Taihang Mountain

The Earth’s climate has warmed by approximately 0.6 °C over the last century, but temperature change in the Taihang Mountain region—an important transition zone in North China which functions as an ecological barrier for Beijing, Tianjin, and other big cities—is still unknown. In this study, we analyze the spatial and temporal trends in the average annual and seasonal surface air temperature in the Taihang Mountain region from 1968 to 2017. The effect of elevation, longitude, latitude, percent forestland, percent farmland, and gross domestic product (GDP) on temperature was also determined. Our results show that the Taihang Mountain has warmed by 0.3 °C/decade over the past five decades. Partitioned seasonally, average warming was 0.38, 0.14, 0.21, and 0.47 °C/decade in spring, summer, fall, and winter, respectively. Elevation and latitude were significantly negatively correlated with temperature but had no correlation with the temporal warming trend (i.e., the Z value from a Mann–Kendall test). The Z value was significantly negatively correlated with percent forestland and positively correlated with GDP, indicating that economic development has induced warming, but afforestation may reduce the rate of warming increase. Together, our results provide important insights into the rates and drivers of climate change within mountainous regions.

scholarly journals Long-Term Spatial and Temporal Variation of Near Surface Air Temperature in Southwest China During 1969–2018

2021 ◽  
Vol 9 ◽  
Author(s):  
Jia Zhou ◽  
Tao Lu
Keyword(s):  
Air Temperature ◽  
Southwest China ◽  
Surface Air Temperature ◽  
Absolute Error ◽  
Warming Trend ◽  
Vital Role ◽  
Spatial And Temporal Variation ◽  
Related Factors ◽  
Near Surface ◽  
Mountainous Regions

Near surface air temperature (NSAT) is one of the most important climatic parameters and its variability plays a vital role in natural processes associated with climate. Based on an improved ANUSPLIN (short for Australian National University Spline) model which considers more terrain-related factors, this study analyzed the trends, anomalies, change points, and variations of NSAT in Southwest China from 1969 to 2018. The results revealed that the improved approach performed the best in terms of Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and R-squared (R2) comparing to the conventional ANUSPLIN and co-kriging methods. It has great potential for future meteorological and climatological research, especially in mountainous regions with diverse topography. In addition, Southwest China experienced an overall warming trend of 0.21°C/decade for annual mean NSAT in the period 1969–2018. The warming rate was much higher than mainland China and global averages, and statistically significant warming began in the late 1990s. Moreover, consistent warming and significant elevation-dependent warming (EDW) were observed in most parts of Southwest China, and the hiatus or slowdown phenomenon after the 1997/1998 EL Niño event was not observed as expected. Furthermore, the remarkable increase in winter and minimum NSATs contributed more to the whole warming than summer and maximum NSATs. These findings imply that Southwest China responds to global warming more sensitively than generally recognized, and climate change in mountainous regions like Southwest China should be of particular concern.

scholarly journals Analysis of Minimum temperature spatially and temporally over Iraq During the period 1980-2015

2017 ◽  
Vol 2 (5) ◽  
Author(s):  
Yassen K. Al-Timimi ◽  
Aws A. Al-Khudhairy
Keyword(s):  
High Temperature ◽  
Temporal Trends ◽  
Surface Air Temperature ◽  
Kendall Test ◽  
Temporal Analysis ◽  
Positive Trend ◽  
Seasonal Temperature ◽  
The North ◽  
Four Seasons ◽  
Autumn And Winter

Monthly Minimum surface air temperature at 23 stations in Iraq were analyzed for temporal trends and spatial variation during 1980-2015.seasonal and annual temperature was analyzed using Mann-Kendall test to detect the significant trend .The results of temporal analysis showed that during winter ,spring , summer and Autumn have a positive trend in all the parts of Iraq. A tendency has also been observed towards warmer years, with significantly warmer summer and spring periods and slightly warmer autumn and winter, the highest increase is (3.9) oC in Baghdad during the summer. The results of spatial analyze using the ArcGIS showed that the seasonal temperature can be divided into two or three distinct areas with high temperature in the south and decreasing towards north, where the trend of spatial temperature were decreasing from south to the north in all the four seasons.

Rare and endangered soils in the Taihang Mountain region, North China

2019 ◽  
Vol 30 (14) ◽  
pp. 1739-1750
Author(s):  
Tonggang Fu ◽  
Lipu Han ◽  
Hui Gao ◽  
Hongzhu Liang ◽  
Jintong Liu
Keyword(s):  
North China ◽  
Mountain Region ◽  
Rare And Endangered ◽  
Taihang Mountain

Geostatistical analysis of pedodiversity in Taihang Mountain region in North China

Geoderma ◽  
2018 ◽  
Vol 328 ◽  
pp. 91-99 ◽  
Author(s):  
Tonggang Fu ◽  
Lipu Han ◽  
Hui Gao ◽  
Hongzhu Liang ◽  
Jintong Liu
Keyword(s):  
North China ◽  
Geostatistical Analysis ◽  
Mountain Region ◽  
Taihang Mountain

scholarly journals Spatio-temporal analysis of Maximum temperature over Iraq

2018 ◽  
Vol 29 (1) ◽  
pp. 1
Author(s):  
Aws Ali Al Khudhairy
Keyword(s):  
Temporal Trends ◽  
Surface Air Temperature ◽  
Kendall Test ◽  
Temporal Analysis ◽  
Maximum Temperature ◽  
Positive Trend ◽  
Seasonal Temperature ◽  
The North ◽  
Four Seasons ◽  
Spatio Temporal

Monthly Maximum surface air temperature at 23 stations in Iraq were analyzed for temporal trends and spatial variation during 1980-2015.Seasonal and annual temperature was analyzed using Mann-Kendall test to detect the significant trend .The results of temporal analysis showed that during winter ,spring , summer and Autumn have a positive trend in all the parts of Iraq. A tendency has also been observed towards warmer years, with significantly warmer summer and spring periods and slightly warmer autumn and winter, The highest increase is (3.9) oC in Basrah during the summer. The results of spatial analysis using the ArcGIS showed that the seasonal temperature can be divided into two or three distinct areas with high temperature in the south and decreasing towards north, where the trend of spatial temperature were decreasing from south to the north in all the four seasons.

Evaluation of spatio-temporal trends of groundwater quality in different land uses using Kendall test

2012 ◽  
Vol 16 (1) ◽  
pp. 65-75 ◽  
Author(s):  
Dugin Kaown ◽  
Yunjung Hyun ◽  
Gwang-Ok Bae ◽  
Chang Whan Oh ◽  
Kang-Kun Lee
Keyword(s):  
Groundwater Quality ◽  
Temporal Trends ◽  
Kendall Test ◽  
Land Uses ◽  
Spatio Temporal

Changes in the Amplitude of the Temperature Annual Cycle in China and Their Implication for Climate Change Research

2011 ◽  
Vol 24 (20) ◽  
pp. 5292-5302 ◽  
Author(s):  
Cheng Qian ◽  
Congbin Fu ◽  
Zhaohua Wu
Keyword(s):  
Climate Change ◽  
Annual Cycle ◽  
Linear Trend ◽  
Surface Air Temperature ◽  
Mean Amplitude ◽  
Warming Trend ◽  
Ensemble Empirical Mode Decomposition ◽  
Surface Solar Radiation ◽  
Climate Change Research ◽  
Annual Cycles

Abstract Climate change is not only reflected in the changes in annual means of climate variables but also in the changes in their annual cycles (seasonality), especially in the regions outside the tropics. In this study, the ensemble empirical mode decomposition (EEMD) method is applied to investigate the nonlinear trend in the amplitude of the annual cycle (which contributes 96% of the total variance) of China’s daily mean surface air temperature for the period 1961–2007. The results show that the variation and change in the amplitude are significant, with a peak-to-peak annual amplitude variation of 13% (1.8°C) of its mean amplitude and a significant linear decrease in amplitude by 4.6% (0.63°C) for this period. Also identified is a multidecadal change in amplitude from significant decreasing (−1.7% decade−1 or −0.23°C decade−1) to significant increasing (2.2% decade−1 or 0.29°C decade−1) occurring around 1993 that overlaps the systematic linear trend. This multidecadal change can be mainly attributed to the change in surface solar radiation, from dimming to brightening, rather than to a warming trend or an enhanced greenhouse effect. The study further proposes that the combined effect of the global dimming–brightening transition and a gradual increase in greenhouse warming has led to a perceived warming trend that is much larger in winter than in summer and to a perceived accelerated warming in the annual mean since the early 1990s in China. It also notes that the deseasonalization method (considering either the conventional repetitive climatological annual cycle or the time-varying annual cycle) can also affect trend estimation.

scholarly journals A Slight Temperature Warming Trend Occurred over Lake Ontario from 2001 to 2018

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1315
Author(s):  
Xiaoying Ouyang ◽  
Dongmei Chen ◽  
Shugui Zhou ◽  
Rui Zhang ◽  
Jinxin Yang ◽  
...  
Keyword(s):  
Land Surface ◽  
Lake Ontario ◽  
Kendall Test ◽  
Warming Trend ◽  
Linear Regression Method ◽  
Ground Measurement ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Mean Square Difference

Satellite-derived lake surface water temperature (LSWT) measurements can be used for monitoring purposes. However, analyses based on the LSWT of Lake Ontario and the surrounding land surface temperature (LST) are scarce in the current literature. First, we provide an evaluation of the commonly used Moderate Resolution Imaging Spectroradiometer (MODIS)-derived LSWT/LST (MOD11A1 and MYD11A1) using in situ measurements near the area of where Lake Ontario, the St. Lawrence River and the Rideau Canal meet. The MODIS datasets agreed well with ground sites measurements from 2015–2017, with an R2 consistently over 0.90. Among the different ground measurement sites, the best results were achieved for Hill Island, with a correlation of 0.99 and centered root mean square difference (RMSD) of 0.73 K for Aqua/MYD nighttime. The validated MODIS datasets were used to analyze the temperature trend over the study area from 2001 to 2018, through a linear regression method with a Mann–Kendall test. A slight warming trend was found, with 95% confidence over the ground sites from 2003 to 2012 for the MYD11A1-Night datasets. The warming trend for the whole region, including both the lake and the land, was about 0.17 K year−1 for the MYD11A1 datasets during 2003–2012, whereas it was about 0.06 K year−1 during 2003–2018. There was also a spatial pattern of warming, but the trend for the lake region was not obviously different from that of the land region. For the monthly trends, the warming trends for September and October from 2013 to 2018 are much more apparent than those of other months.

Sign in / Sign up

Export Citation Format

Share Document