Impacts of April snow cover extent over Tibetan Plateau and the central Eurasia on Indian Ocean Dipole

Yuan, Chaoxia; Wen-jie, LI; Guan, Zhaoyong; Yamagata, Toshio

doi:10.1002/joc.5888

Cited by 12 publications

(7 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Though many possible mechanisms have been proposed for the Arctic-midlatitude linkage (e.g., Francis, 2017;Kim et al, 2014;Wu & Zhang, 2010) and the roles of the southward propagation of wave trains from the Arctic region have been emphasized for the linkage (Gu et al, 2018;Overland et al, 2015), the effects of Arctic on the weather and climate in TP has not been comprehensively investigated. Given the strong influence of the TP on Asian monsoon variabilities and the interactions between the TP snow and the Indian Ocean SST (Yuan et al, 2018(Yuan et al, , 2012, our study suggests that the Arctic wave activity may have a much broader and long-lasting impacts on the lower latitudes by affecting 10.1029/2018GL081476 the snow thus the springtime LST in the TP. Whether the Arctic amplification in recent decade would play an important role in the changing climate in TP and Asian region, as well as in the tropical ocean, is a topic very deserving further studies.…”

Section: Summary and Discussionmentioning

confidence: 84%

An Arctic‐Tibetan Connection on Subseasonal to Seasonal Time Scale

Zhang

Zou

Xue

2019

Geophysical Research Letters

View full text Add to dashboard Cite

Recent research indicates the great potentials of springtime land surface temperature (LST) as a new source of predictability to improve the subseasonal to seasonal climate prediction. In this study, we explore the initial cause of the springtime large‐scale LST in Tibetan Plateau (TP) and disentangle its close connection with the February wave activities from the Arctic region. Our Maximum Covariance Analysis show that the spring LST in TP is significantly coupled with the regional snow cover in the preceding months. The latter is further strongly coupled with the February atmospheric circulation and wave activities in mid‐to‐high latitudes. When the atmospheric circulation is in a combined pattern of Arctic Oscillation and West Pacific teleconnection pattern, wave trains from the Arctic can propagate and reach the TP through northern and southern pathways. This brings dynamical and moisture conditions for the TP snowfall and builds a bridge for Arctic‐Tibetan connection.

show abstract

Section: Summary and Discussionmentioning

confidence: 84%

An Arctic‐Tibetan Connection on Subseasonal to Seasonal Time Scale

Zhang

Zou

Xue

2019

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…It tends to develop around May-June, peak during October-November, and rapidly decay thereafter. In addition, although the IOD is an internal mode in the tropical IO, it may be triggered by external forcings, such as the El Niño-Southern Oscillation (ENSO) (Luo et al 2010;Zhang et al 2015;Stuecker et al 2017), intraseasonal oscillation (ISO) (Li et al 2003;Rao et al 2007;Lu et al 2018), spring snow cover in the Eurasian continent (Yuan et al 2019), and southern annular mode (Lau and Nath 2004). Among them, ENSO is likely to be the most influential factor, which can affect the IO climate through both oceanic and atmospheric pathways (An 2004;Fischer et al 2005;Behera et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Weakening of the Indian Ocean Dipole in the mid-Holocene due to the mean oceanic climatology change

Liu¹,

Yuan²,

Luo³

et al. 2023

Preprint

View full text Add to dashboard Cite

The Indian Ocean Dipole (IOD) is one of the leading modes of interannual climate variability in the tropical Indian Ocean (IO). Paleoclimate provides real climate scenarios to examine IOD behaviors and the linkage to basic states. Based on 18 models from the Paleoclimate Modelling Intercomparison Project phase 3 and 4 (PMIP 3/4), the IOD change from the preindustrial period to mid-Holocene is investigated. The multimodel mean reveals that the IOD variability weakens by 14% as measured by the standard deviation of the Dipole Mode Index, which is defined using the zonal sea surface temperature (SST) difference. Such attenuation is dominated by the spatially consistent suppression in the western-pole SST variability, while the eastern pole contributes little due to the opposite-signed changes in its northwestern and southeastern portions. The primary reason for the aforementioned changes comes from the altered climatic background, which displays a positive IOD-like pattern during IOD growing seasons, with intensified westward currents along the equator and northwestward currents in the southeastern equatorial IO. Such changes in the mean-state currents modulate the strength of the IOD-related anomalous advection and subsequently cause alterations in the IOD variability. Further analyses show that the IOD attenuation in the mid-Holocene is likely irrelevant to the concurrently subdued El Niño–Southern Oscillation in the tropical Pacific because of the diminished connections between the two oscillations themselves. The above simulated changes in both the IO mean climatology and IOD variability agree well with the available paleo-records in literature.

show abstract

“…Spring snow depth (SSD) in the Tibetan plateau (TP) has received considerable attention over the past few decades owing to its high surface albedo and unique solid–water properties. Through thermal and radiative forcing mechanisms (Flanner, 2005; Kang et al ., 2010; Chen et al ., 2017b; Yuan et al ., 2019), SSD in TP can potentially affect the climatic, ecological, bionomical, and hydrological anomalies in Southwest China and surrounding Asian countries. Therefore, accurate information on SSD is essential for several reasons.…”

Section: Introductionmentioning

confidence: 99%

Spring snow depth changes and feedback to surface air temperature across the Tibetan plateau from 1961 to 2013

Chen

Yang

2021

Intl Journal of Climatology

View full text Add to dashboard Cite

Spring snow depth (SSD) in the Tibetan Plateau (TP) plays an essential role in snow water estimation, vegetation growth, and climate projections for Southwest China and the surrounding Asian countries. Previous studies have reported a decline in SSD that is associated with increasing surface air temperature (Ts) across the TP over the past decades. However, only a few studies have explored the potential feedback of SSD to Ts, which has hindered the elucidation of the vulnerability of snow cover in the TP against the backdrop of rapid climate change. Based on data from 69 meteorological stations in the central and eastern parts of the TP, this study analyses changes in SSD and its feedback to Ts from 1961 to 2013. Overall, a slightly negative trend in SSD was observed from 1961 to 2013, during which two contrasting trends were detected using a piecewise regression approach: an initial increase from 1961 to 1981 (0.12 cm decades−1, p < .01) followed by a decrease from 1982 to 2013 (−0.36 cm decades−1, p < .01). Sensitivity analysis revealed that the SSD decline was systematically correlated with a positive Ts anomaly, with sensitivities of −0.050 cm °C−1 (p < .01) and −0.069 cm °C−1 (p < .01) for 1961–2013 and 1982–2013, respectively. However, following the accelerated SSD decline during 1982–2013, its potential feedback to Ts was attenuated, with averaged feedback values from −1.328°C cm−1 during 1961–2013 to −0.936°C cm−1 during 1982–2013 in latitudes below 3,500 m, distributed in the Qaidam and Yellow River basins, and the upper reaches of the Yangtze River basin. The decrease in feedback from SSD to Ts may lead to changes in the mechanism controlling Ts dynamics across the TP, which should be considered in climate change projections in future studies.

show abstract

Impacts of April snow cover extent over Tibetan Plateau and the central Eurasia on Indian Ocean Dipole

Cited by 12 publications

References 41 publications

An Arctic‐Tibetan Connection on Subseasonal to Seasonal Time Scale

An Arctic‐Tibetan Connection on Subseasonal to Seasonal Time Scale

Weakening of the Indian Ocean Dipole in the mid-Holocene due to the mean oceanic climatology change

Spring snow depth changes and feedback to surface air temperature across the Tibetan plateau from 1961 to 2013

Contact Info

Product

Resources

About