A novel comprehensive agricultural drought index reflecting time lag of soil moisture to meteorology: A case study in the Yangtze River basin, China

Tian, Qing; Lu, Jianzhong; Chen, Xiaoling

doi:10.1016/j.catena.2021.105804

Cited by 46 publications

(12 citation statements)

References 59 publications

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“…Apart from the correlation coefficient analysis, Granger causality tests were performed to investigate the potential mutual responses between the evolutionary trends of climatic factors and SM. As previous studies have found that the time lags among underlying factors are mostly 1–3 months (Chen et al., 2014; Tian et al., 2022), during the calculation process, the maximum lag time is set as 3 months, and a 99% significance test is applied to ensure reliability. Figure 6 shows that despite the acknowledged interception of surface layer soil, all climatic factors reveal an increasingly significant relationship to SM as the depth increases.…”

Section: Resultsmentioning

confidence: 99%

Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes?

Liu

Yang

Song

2023

Water Resources Research

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In particular, rootzone soil water availability is more critical than surface water availability. This is because vegetation roots can extend downward to tens or even hundreds of centimeters to absorb water and nutrients from the soil (Hirschi et al., 2014;Yang et al., 2022). Therefore, it is important to investigate the variation patterns of both surface and rootzone SM across the globe, which could be expected to boost the understanding of Earth-surface system evolution processes.A host of studies have analyzed the spatial-temporal variability of SM and achieved meaningful findings. The multi-satellite derived surface SM was considered to explore its global fluctuation from 1988 to 2010. The data set displayed a negative trend over 73% of the covered region (Dorigo et al., 2012). Feng and Zhang (2015) utilized the European Space Agency Climate Change Initiative SM data set to examine the widely accepted "dry gets drier, wet gets wetter" (DGDWGW) evolution pattern. The result showed that this cognition was overestimated, and that only 15.12% of the trends followed the DGDWGW mode. Besides, they detected a significant "drier in dry, wetter in wet" (DIDWIW) trend, which focused on the moisture trends and can capture their spatial patterns in detail. Despite promising findings, uncertainties caused by prevalent gap regions, inability to detect dense vegetation, and the features of each spaceborne sensor should be fully considered before further processes. In comparison, the reanalysis SM products could break through the limitation of spaceborne signal derived data, and achieve complete coverage SM with definite physical meaning. The European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Land) SM products was applied to global trend investigations during 1988-2010, and revealed a significant and dominant (more than 70%) falling trend of surface SM,

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Section: Resultsmentioning

confidence: 99%

Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes?

Liu

Yang

Song

2023

Water Resources Research

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“…En la Figura 3-7 se identifica nueve días con déficit durante la etapa vegetativa del cultivo de Maíz, dada entre emergencia (VE) y floración (R1), así mismo se presentan dos temporadas con déficit hídrico entre floración (R1) y madurez fisiológica (R6), grave por la formación de grano que representa el rendimiento. Tian et al (2022) definen estas temporadas presentadas durante el año 2020 como sequia agrícola, refiriéndose a una baja anormal de las lluvias durante el período apto de crecimiento del cultivo. Estas condiciones han sido analizadas de forma general por el IDEAM (2012) identificándola como una problemática mayor en el sector.…”

Section: Dinámica De La Oferta Hídrica Disponible Para Cultivos Trans...unclassified

Ensemble machine learning paradigms in hydrology: A review

Zounemat‐Kermani

Batelaan

Fadaee

et al. 2021

Journal of Hydrology

359

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“…where ( ) ( ) tt  − is the complex conjugate function, and ( , ) f w a b is the wavelet transform coefficients (Tian et al, 2022).…”

Section: Wavelet Analysismentioning

confidence: 99%

Spatiotemporal variation of main meterological elements in agricultural region: A case study

2023

Preprint

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Despite the fact that evaporation is a key element of water and energy cycle, little attention has been paid to it. Thus, discovering the spatial and temporal variations of meteorological elements in Linyi Agricultural City of Shandong Province in the past 50 years is crucial. This study discussed evaporation, precipitation, and temperature. Linear regression analysis, empirical orthogonal decomposition function, and Morlet wavelet function were used to reveal the trend, temporal and spatial modes, and multi-time scale characteristics, providing a theoretical reference basis for the efficient use of climate resources for the future development of regional agriculture. Results showed that the precipitation (2.09 mm/a) and temperature (0.04 °C/a) in Linyi had a synchronous growth trend; conversely, the evaporation (−6.47 mm/a) showed a decreasing trend of “evaporation paradox” due to the significant decrease of evaporation energy. Under the development trend of global warming and high water-consuming agriculture, improving regional water use efficiency is a key point. In terms of spatial distribution, precipitation was dominated by the first mode, which showed little in the early stage while more in the later stage, supplemented by the second mode with an inverse phase change in the southeast–northwest direction. A large inter-annual fluctuations was only found in Yinan County. The temperature showed a pattern of warming change with outstanding homogeneity. The evaporation exhibited an obvious heterogeneity, which was dominated by two main modes with a great difference between Junan County and other regions in Linyi city. Therefore, local regional climate changes in Yinan and Junan should be given attention. All three meteorological elements had inter-annual and interdecadal variations in the short term (5 a), medium term (16 a), and long term (25 a), dominated by precipitation (16 a), mean annual temperature (24 a), and annual evapotranspiration (31 a). In the short-term future, the regional precipitation and temperature in Linyi would experience decreasing changes above the multi-year average, and evaporation would show increasing changes above the multi-year average. Given the changing trends of precipitation, temperature, and evaporation, urgent requirements for regional development of efficient water-saving irrigation and promotion of digital agriculture should be proposed.

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A novel comprehensive agricultural drought index reflecting time lag of soil moisture to meteorology: A case study in the Yangtze River basin, China

Cited by 46 publications

References 59 publications

Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes?

Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes?

Ensemble machine learning paradigms in hydrology: A review

Spatiotemporal variation of main meterological elements in agricultural region: A case study

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