Retraction statement: Estimation of monthly mean solar radiation from air temperature in combination with other routinely observed meteorological data in Yangtze River Basin in China

2012 ◽  
Vol 21 (2) ◽  
pp. 459-459 ◽  
Author(s):  
Ji-Long Chen ◽  
Guo-Sheng Li
Keyword(s):  
Solar Radiation ◽  
River Basin ◽  
Air Temperature ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Meteorological Data

scholarly journals The Use of SPEI and TVDI to Assess Temporal-Spatial Variations in Drought Conditions in the Middle and Lower Reaches of the Yangtze River Basin, China

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Shaodan Chen ◽  
Liping Zhang ◽  
Xin Liu ◽  
Mengyao Guo ◽  
Dunxian She
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Meteorological Data ◽  
Negative Relationship ◽  
The Yangtze River ◽  
Drought Conditions ◽  
The Yangtze River Basin ◽  
Effects Of Drought ◽  
Remote Sensing Methods

Droughts represent the most complex and damaging type of natural disaster, and they have taken place with increased frequency in China in recent years. Values of the standardized precipitation evapotranspiration index (SPEI) calculated using station-based meteorological data collected from 1961 to 2013 in the middle and lower reaches of the Yangtze River Basin (MLRYRB) are used to monitor droughts. In addition, the SPEI is determined for different timescales (1, 3, 6, and 12 months) to characterize dry or wet conditions in this study area. Moreover, remote sensing methods can cover large areas, and multispectral and temporal observations are provided by satellite sensors. The temperature vegetation dryness index (TVDI) is selected to permit assessment of drought conditions. In addition, the correlation between the SPEI and TVDI values is calculated. The results show that the SPEI values over different timescales reflect complex variations in drought conditions and have been well applied in the MLRYRB. Droughts occurred on an annual basis in 1963, 1966, 1971, 1978, 1979, 1986, 2001, 2011, and 2013, particularly 2011. In addition, the regional average drought frequency in the study area during 1961–2013 is 30%, as determined using the SPEI. An analysis of the correlation between the monthly values of the TVDI and the SPEI-3 shows that a negative relationship exists between the SPEI-3 and the TVDI. That is, smaller TVDI values are associated with greater SPEI-3 values and reduced drought conditions, whereas larger TVDI values are associated with smaller SPEI-3 values and enhanced drought conditions. Therefore, this study of the relationship between the SPEI and the TVDI can provide a basis for government to mitigate the effects of drought.

scholarly journals The Temporal and Spatial Variations of Stable Isotopes in Precipitation on Different Scales in Yangtze River Basin

2021 ◽  
Vol 290 ◽  
pp. 02007
Author(s):  
Ruiheng Meng
Keyword(s):  
River Basin ◽  
Air Temperature ◽  
Yangtze River ◽  
Large Scale ◽  
Yangtze River Basin ◽  
Weather Conditions ◽  
Spatial Variations ◽  
Temporal And Spatial Variations ◽  
Monthly Scale ◽  
Temporal And Spatial

Analysis is conducted on the temporal and spatial variations of stable isotopic composition in precipitation, using the data of IAEA/WMO sampling stations, in Yangtze river basin. The correlations between δ18O in precipitation and air temperature/amount of precipitation are analyzed at individual stations and in the whole valley on monthly or annual scales. There is a notable amount effect, the distinct inverse relationship between δ18O and precipitation, on monthly scale in the Yangtze valley and at the selected stations except Chongqing. Compared with monthly scale, the positive correlation between δ18O and air temperature is more marked on annual scale. The interannual variations of δ18O reflect the change of large-scale climate and environment, and are mainly controlled by large-scale weather conditions.

scholarly journals Trends in Different Grades of Precipitation over the Yangtze River Basin from 1960 to 2017

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 413
Author(s):  
Mulan Hu ◽  
Manyu Dong ◽  
Xiangyou Tian ◽  
Leixin Wang ◽  
Yuan Jiang
Keyword(s):  
River Basin ◽  
Air Temperature ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Heavy Precipitation ◽  
Total Precipitation ◽  
The Yangtze River ◽  
The Yangtze River Basin ◽  
Precipitation Events

Under the background of global warming, the trends and variabilities of different grades of precipitation have significant effects on the management of regional ecosystems and water resources. Based on a daily precipitation dataset collected from 148 meteorological stations in the Yangtze River Basin from 1960 to 2017, precipitation events were divided into four grades (small, moderate, large, and heavy precipitation events) according to the precipitation intensity to analyze the temporal and spatial change trends of different grades of precipitation amounts and frequencies, and the influence of different grades of precipitation on total precipitation was also discussed in this study. The results revealed that small precipitation amounts over the Yangtze River Basin decreased significantly, with a rate of −1.22%/10a, while heavy precipitation amounts showed a significant increasing trend (4.27%/10a) during the study period. The precipitation frequency of small and total events decreased significantly, with rates of −3.86%/10a and −2.97%/10a, respectively. Regionally, from the upper reaches to the lower reaches of the Yangtze River Basin, the contribution rate of small precipitation amounts and frequencies to the total precipitation gradually decreased, while heavy precipitation amounts and frequencies increased. The different grades of precipitation in region II showed a decreasing trend due to its unique geographical features. Furthermore, a Pearson correlation analysis was used to analyze the response of precipitation to long-term air temperature, demonstrating that small and moderate precipitation amounts and frequencies were mainly negatively correlated with long-term air temperature and that heavy precipitation amounts showed a stronger positive correlation with long-term air temperature (13.35%/K). Based on this, the rate of change in heavy precipitation in the Yangtze River Basin may be higher under the background of climate warming, which will lead to greater risks of extreme floods in the future. Evaluating and predicting the trends of different grades can provide a theoretical reference for agricultural production, flood control, and drought mitigation.

scholarly journals Generating 1 km Spatially Seamless and Temporally Continuous Air Temperature Based on Deep Learning over Yangtze River Basin, China

2021 ◽  
Vol 13 (19) ◽  
pp. 3904
Author(s):  
Rui Li ◽  
Tailai Huang ◽  
Yu Song ◽  
Shuzhe Huang ◽  
Xiang Zhang
Keyword(s):  
Deep Learning ◽  
River Basin ◽  
Air Temperature ◽  
Yangtze River ◽  
Science Studies ◽  
Earth Science ◽  
Yangtze River Basin ◽  
Pearson Correlation ◽  
Model Performance ◽  
Temporal Continuity

Air temperature is one of the most essential variables in understanding global warming as well as variations of climate, hydrology, and eco-systems. However, current products and assimilation approaches alone can provide temperature data with high resolution, high spatio-temporal continuity, and high accuracy simultaneously (refer to 3H data). To explore this kind of potential, we proposed an integrated temperature downscaling framework by fusing multiple remotely sent, model-based, and in-situ datasets, which was inspired by point-surface data fusion and deep learning. First, all of the predictor variables were processed to maintain spatial seamlessness and temporal continuity. Then, a deep belief neural network was applied to downscale temperature with a spatial resolution of 1 km. To further enhance the model performance, calibration techniques were adopted by integrating station-based data. The results of the validation over the Yangtze River Basin indicated that the average Pearson correlation coefficient, RMSE, and MAE of downscaled temperature achieved 0.983, 1.96 °C, and 1.57 °C, respectively. After calibration, the RMSE and MAE were further decreased by ~20%. In general, the results and comparative analysis confirmed the effectiveness of the framework for generating 3H temperature datasets, which would be valuable for earth science studies.

scholarly journals Estimation of solar radiation using two-step method in Yangtze River basin in China

MAUSAM ◽  
2021 ◽  
Vol 66 (2) ◽  
pp. 225-236
Author(s):  
JILONG CHEN ◽  
CHUNDI CHEN ◽  
ZHAO FEIWEN ◽  
YI JIANG ◽  
MING QUANLV ◽  
...  
Keyword(s):  
Solar Radiation ◽  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Step Method
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