2019
DOI: 10.1007/s00382-019-04922-x
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Land–atmosphere interaction over the Indo-China Peninsula during spring and its effect on the following summer climate over the Yangtze River basin

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Cited by 41 publications
(31 citation statements)
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“…For regions without significant local sensitivity such as the northeastern United States and YRV, the remote sensitivities may provide useful information for precipitation prediction. There have been some case studies on the nonlocal effect of ET on precipitation in northeastern United States and YRV, which partly supports results in this study (Dirmeyer & Kinter, ; Gao et al, ; Wei et al, ). The spatial distributions of the remote sensitivities bear some relationship to those of the remote moisture contributions, but they are different in detail.…”
Section: Discussionsupporting
confidence: 89%
“…For regions without significant local sensitivity such as the northeastern United States and YRV, the remote sensitivities may provide useful information for precipitation prediction. There have been some case studies on the nonlocal effect of ET on precipitation in northeastern United States and YRV, which partly supports results in this study (Dirmeyer & Kinter, ; Gao et al, ; Wei et al, ). The spatial distributions of the remote sensitivities bear some relationship to those of the remote moisture contributions, but they are different in detail.…”
Section: Discussionsupporting
confidence: 89%
“…SM has significant negative correlation with Bowen ratio over most of the LLH (Figure 4a), that is, higher SM may result in stronger (weaker) evapotranspiration (upward thermal transfer), indicating that evapotranspiration (upward thermal transfer) is greatly constrained by SM over the LLH in spring. However, the negative correlation between SM and Bowen ratio is only a necessary but not a sufficient condition of strong SM‐SAT coupling (Seneviratne et al ., 2010; Schwingshackl et al ., 2017; Gao et al ., 2019). Therefore, the correlation between SAT and Bowen ratio is further shown in Figure 4b.…”
Section: Resultsmentioning
confidence: 99%
“…GLDAS‐Noah is forced by a combination of atmospheric analysis, satellite‐based precipitation, and observation‐based radiation fields. Using state‐of‐the‐art land surface modelling and data assimilation techniques, the GLDAS‐Noah SM data set has been widely used in investigating land‐atmosphere interactions (e.g., Wu and Zhang, 2013; Gao et al ., 2019; Xu et al ., 2019). Considering the terrain complexity in LLH, we use monthly GLDAS‐Noah SM data at 0.25° × 0.25° resolution and three layers of 0–10, 10–40, 40–100 cm depth in the present study, including GLDAS‐Noah V1.0 from1979 to1999 and GLDAS‐Noah V2.0 from 2000 to 2016.…”
Section: Methodsmentioning
confidence: 99%
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“…1b) and is greatly in uenced by the El Niño-Southern Oscillation (ENSO) Sun 1992, Wu et al, 2003;Wang et al, 2013;Chen et al, 2017;. For example, during the decay phase of an El Niño event, a signi cant low-level anticyclone maintains over the western North Paci c (WNPAC), indicating the western Paci c Subtropical High (WPSH) is more intense and southward compared to its climatology (Lu and Dong, 2001;Gao et al, 2019). More water vapor is transported into central China due to the anomalous southwesterly winds in the northwestern ank of the WNPAC, thus increasing the rainfall in central China (Chen 2002;Ding 1992; Ding and Wang 2008;Zhou and Yu, 2005).…”
Section: Introductionmentioning
confidence: 99%