A novel ENSO monitoring index and its potential for drought application

Zhao, Qingzhi; Liu, Kang; Liu, Yang; Yao, Yibin

doi:10.1016/j.jastp.2021.105762

Cited by 8 publications

(3 citation statements)

References 49 publications

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“…Previous studies have shown that ENSO can lead to an abnormal rise of ocean temperature, which leads to drought [47]. Zhao et al showed that ENSO has a good ability to monitor drought and plays an important role in drought resistance and disaster reduction [48]. Katherine et al showed that the ENSO climate phenomenon could affect the drought situation in Thailand to a certain extent [49].…”

Section: Driving Factor Studymentioning

confidence: 99%

Temporal and Spatial Evolution of Meteorological Drought in Inner Mongolia Inland River Basin and Its Driving Factors

Zhang,

Guo,

et al. 2024

Sustainability

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In order to analyze the temporal and spatial evolution of meteorological drought and explore its driving factors, the inland river basin of Inner Mongolia (IMIRB) was taken as a typical research area, the Standardized Precipitation Evapotranspiration Index (SPEI) of various scales was calculated, and the spatio-temporal trend change characteristics of meteorological drought were analyzed combined with the modified Mann–Kendall trend test (MMK). The typical meteorological drought events were analyzed by using the three-dimensional identification method, and the spatio-temporal evolution characteristics and dynamic evolution law of meteorological drought were analyzed comprehensively and accurately. The driving effects of Pacific Decadal Oscillation (PDO), North Atlantic Multidecadal Oscillation (AMO), Arctic Oscillation (AO), El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and sunspot on meteorological drought were investigated by using the cross wavelet method. The results are as follows: (1) with the increase of SPEI time scale, the frequency of meteorological drought decreased, but the duration and intensity of drought increased; (2) the trend was greatest in spring, with the largest number of areas showing a significant downward trend in SPEI, the strongest persistence in intensity, and significant aridification characteristics; (3) summer meteorological droughts had the largest area of high intensity drought but the smallest area of high frequency areas, and winter droughts had the smallest area of high intensity drought but the largest percentage of high frequency areas; (4) the meteorological drought event that occurred from April 2017 to December 2017 was the most serious, and reached its maximum value in June 2017, which mainly experienced five processes: occurrence—intensification—attenuation—re-intensification—extinction; (5) atmospheric circulation factor, sunspot, and meteorological drought of IMIRB were correlated, and ENSO had the greatest effect on drought. This study provides effective theoretical support for IMIRB drought prevention and disaster reduction.

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Section: Driving Factor Studymentioning

confidence: 99%

Temporal and Spatial Evolution of Meteorological Drought in Inner Mongolia Inland River Basin and Its Driving Factors

Zhang,

Guo,

et al. 2024

Sustainability

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“…where n is the number of observations used in Equation (10), and the residual r k can be expressed as:…”

Section: Estimation Of Tropical Cyclones' Movement Using Ztd Datasetsmentioning

confidence: 99%

“…Precipitable water vapor (PWV) is the total amount of water vapor contained in a nominal column of air, which can be used to reflect water vapor content [4]. PWV is an important meteorological factor for forecasting several extreme weather and climate events such as heavy rainfall, tropical cyclone, drought and the El Nino warm current [5][6][7][8][9][10]. Traditional techniques for detecting PWV, such as infrared satellite remote sensing, radiosondes (RS) and microwave radiometers [11][12][13], have the disadvantages of insufficient temporal resolution, high cost and susceptibility to prevailing weather conditions, making it difficult to study the characteristics of rapid water vapor changes under short-term extreme weather events.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay

Dajun

et al. 2023

Remote Sensing

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Precipitable water vapor (PWV) is an important meteorological factor for predicting extreme weather events such as tropical cyclones, which can be obtained from zenith tropospheric delay (ZTD) by using a conversion. A time difference of ZTD arrival (TDOZA) model was proposed to monitor the movement of tropical cyclones, and the fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ERA5)-derived ZTD (ERA5-ZTD) was used to estimate the movement of tropical cyclones based on the model. The global navigation satellite system-derived ZTD and radiosonde data-derived PWV (RS-PWV) were used to test the accuracy of the ERA5-ZTD and analyze the correlation between ZTD and PWV, respectively. The statistics showed that the mean Bias, RMS and STD of the ERA5-ZTD were 6.4 mm, 17.1 mm and 16.5 mm, respectively, and the mean correlation coefficient of the ERA5-ZTD and RS-PWV was 0.951, which indicates that the ZTD can be used to predict weather events instead of PWV. Then, spatiao-temporal characteristics of ZTD during the four tropical cyclone (i.e., Merbok, ROKE, Neast and Hato) periods in 2017 were analyzed, and the result showed that the moving directions of ZTD and the tropical cyclones were consistent. Thus, the ZTD time series over the ERA5 grids around the tropical cyclones’ paths were used to estimate the velocity of the tropical cyclones based on the TDOZA model, when the tropical cyclones are approaching or leaving. Compared with the result from the China Meteorological Administration, the mean absolute and relative deviations of the TDOZA model-derived velocity were 2.55 km/h and 10.0%, respectively. These results suggest that ZTD can be used as a new supplementary meteorological parameter for monitoring tropical cyclone events.

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Use of GNSS and ERA5 precipitable water vapor based standardized precipitation conversion index for drought monitoring in the Mediterranean coast: A first case study in Southern Spain

Retegui Schiettekatte,

Selmira Garrido,

Clara de Lacy

2023

Advances in Space Research

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A novel ENSO monitoring index and its potential for drought application

Cited by 8 publications

References 49 publications

Temporal and Spatial Evolution of Meteorological Drought in Inner Mongolia Inland River Basin and Its Driving Factors

Temporal and Spatial Evolution of Meteorological Drought in Inner Mongolia Inland River Basin and Its Driving Factors

A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay

Use of GNSS and ERA5 precipitable water vapor based standardized precipitation conversion index for drought monitoring in the Mediterranean coast: A first case study in Southern Spain

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