Primary Interannual Variability Modes of Summer Moisture Transports in the Tibetan Plateau

Moisture transports play a key role in maintaining the hydrometeorological cycle and forming its climate variability over the Tibetan Plateau (TP), also known as the “Asian water tower”. This study focuses on understanding the interannual variability mode characteristics of moisture transport in the TP in boreal summer, using satellite-based analysis and reanalysis data from 1983 to 2022 with a combined empirical orthogonal function (EOF) analysis. We identified the first two primary interannual modes of TP summer water vapor fluxes, which are primarily characterized by zonal and meridional dipole patterns, respectively. The zonal pattern of the TP water vapor flux dominates the TP and East Asian summer rainfall variability, while the meridional pattern of the TP water vapor flux tends to be a result of the South Asian summer rainfall and its circulation anomalies. The tropical Indo-Pacific sea surface temperature (SST) variations, such as El Niño and Indian Ocean SST modes, have significantly delayed relationships with the interannual variability modes of the summer water vapor fluxes over the TP, indicating a significant modulation effect of the low-latitude oceanic variability on the interannual variations in TP summer moisture transport. These results deepen our understanding of the relationship between TP moisture transport and summer monsoonal rainfall variability, as well as the influence of the tropical oceans.

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Publication Details

Journal
Remote Sensing
Published
2025-04-24
DOI
https://doi.org/10.3390/rs17091508
Citations
2
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
2.60

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article

Primary Interannual Variability Modes of Summer Moisture Transports in the Tibetan Plateau

Hong‐Li Ren, Jieru Ma, Bin Chen, J.K. Lan
2 citations
Remote Sensing
Cryospheric studies and observations
2.60
article

Primary Interannual Variability Modes of Summer Moisture Transports in the Tibetan Plateau

Hong‐Li Ren, Jieru Ma, Bin Chen, J.K. Lan
article en
2 citations

Abstract

Moisture transports play a key role in maintaining the hydrometeorological cycle and forming its climate variability over the Tibetan Plateau (TP), also known as the “Asian water tower”. This study focuses on understanding the interannual variability mode characteristics of moisture transport in the TP in boreal summer, using satellite-based analysis and reanalysis data from 1983 to 2022 with a combined empirical orthogonal function (EOF) analysis. We identified the first two primary interannual modes of TP summer water vapor fluxes, which are primarily characterized by zonal and meridional dipole patterns, respectively. The zonal pattern of the TP water vapor flux dominates the TP and East Asian summer rainfall variability, while the meridional pattern of the TP water vapor flux tends to be a result of the South Asian summer rainfall and its circulation anomalies. The tropical Indo-Pacific sea surface temperature (SST) variations, such as El Niño and Indian Ocean SST modes, have significantly delayed relationships with the interannual variability modes of the summer water vapor fluxes over the TP, indicating a significant modulation effect of the low-latitude oceanic variability on the interannual variations in TP summer moisture transport. These results deepen our understanding of the relationship between TP moisture transport and summer monsoonal rainfall variability, as well as the influence of the tropical oceans.

Remote SensingVol. 17(9)
Chinese Academy of Meteorological Sciences (CN)
National Natural Science Foundation of China, China Meteorological Administration, Chinese Academy of Meteorological Sciences, National Oceanic and Atmospheric Administration, National Key Research and Development Program of China
Openalex Percentile: Top 12%
Cryospheric studies and observations
2.60
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Primary Interannual Variability Modes of Summer Moisture Transports in the Tibetan Plateau — Hong‐Li Ren, Jieru Ma, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS