Diverse Regional Sensitivity of Summer Precipitation in East Asia to Ice Volume, CO 2 and Astronomical Forcing

2021 ◽  
Author(s):  
A.Q. Lyu ◽  
Q.Z. Yin ◽  
M. Crucifix ◽  
Y.B. Sun
Keyword(s):  
East Asia ◽  
Summer Precipitation ◽  
Ice Volume ◽  
Astronomical Forcing

Diverse Regional Sensitivity of Summer Precipitation in East Asia to Ice Volume, CO2 and Astronomical Forcing

2021 ◽  
Author(s):  
Anqi Lyu ◽  
Qiuzhen Yin ◽  
Michel Crucifix ◽  
Youbin Sun
Keyword(s):  
East Asia ◽  
Asian Summer Monsoon ◽  
Ice Sheets ◽  
Summer Precipitation ◽  
Relative Role ◽  
The South ◽  
Ice Volume ◽  
The North ◽  
Astronomical Forcing ◽  
The Impact

<p>The East Asian summer monsoon (EASM) is an important component of the climate system and it influences about one-third of the world’s population. Numerous paleoclimate records and climate simulations have been used to study its long-term evolution and response to different forcings. The strong regional dependence of the EASM variation questions the relative role of ice sheets and insolation on the EASM precipitation in different sub-regions in East Asia. A Gaussian emulator, which was generated and calibrated by interpolating the outputs of 61 snapshot simulations performed with the model HadCM3, is used to quantitatively assess how astronomical forcing, CO<sub>2</sub> and northern hemisphere ice sheets affect the variation of the summer precipitation over the last 800 ky. Our results show that in the north of 25°N of the EASM domain, the variation of the summer precipitation is dominated by precession and insolation. This leads to strong 23-ky cycles in the summer precipitation. However, in the southern part (south of 25°N), the impact of ice volume becomes more important, leading to strong 100-ky cycles. Ice sheets influence the summer precipitation in the south mainly through its control on the location of the Intertropical Convergence Zone (ITCZ) which is very sensitive to ice volume. ITCZ is shifted significantly to the south under large ice sheets conditions. Therefore, the region under control of the ITCZ is more sensitive to the influence of ice volume than other regions. Our results also show that obliquity and CO<sub>2</sub> have relatively small effect on the summer precipitation as compared to precession and ice sheets.</p>

Interdecadal Changes of Summer Precipitation Dominant Mode over East Asia‐Northwest Pacific around Late 1990s

2021 ◽  
Author(s):  
Shuai Li ◽  
Jie Yang ◽  
Zhiqiang Gong ◽  
Junhu Zhao ◽  
Shaobo Qiao ◽  
...  
Keyword(s):  
East Asia ◽  
Summer Precipitation ◽  
Dominant Mode ◽  
Northwest Pacific ◽  
Interdecadal Changes

scholarly journals Water Vapor Transport Related to the Interdecadal Shift of Summer Precipitation over Northern East Asia in the Late 1990s

2018 ◽  
Vol 32 (5) ◽  
pp. 781-793 ◽  
Author(s):  
Po Hu ◽  
Minghao Wang ◽  
Liu Yang ◽  
Xiaojuan Wang ◽  
Guolin Feng
Keyword(s):  
Water Vapor ◽  
East Asia ◽  
Summer Precipitation ◽  
Vapor Transport ◽  
Water Vapor Transport ◽  
Interdecadal Shift

scholarly journals The impact of two land‐surface schemes on the characteristics of summer precipitation over East Asia from the RegCM4 simulations

2014 ◽  
Vol 34 (15) ◽  
pp. 3986-3997 ◽  
Author(s):  
Suchul Kang ◽  
Eun‐Soon Im ◽  
Joong‐Bae Ahn
Keyword(s):  
East Asia ◽  
Land Surface ◽  
Summer Precipitation ◽  
The Impact

Observed Diurnal Cycle of Summer Precipitation over South Asia and East Asia Based on CMORPH and TRMM Satellite Data

2015 ◽  
Vol 8 (4) ◽  
pp. 201-207 ◽  
Author(s):  
Zhang Xin-Xin ◽  
Bi Xun-Qiang ◽  
Kong Xiang-Hui
Keyword(s):  
East Asia ◽  
South Asia ◽  
Satellite Data ◽  
Diurnal Cycle ◽  
Summer Precipitation

Evaluation of summer precipitation over Far East Asia and South Korea simulated by multiple regional climate models

2019 ◽  
Vol 40 (4) ◽  
pp. 2270-2284 ◽  
Author(s):  
Changyong Park ◽  
Dong‐Hyun Cha ◽  
Gayoung Kim ◽  
Gil Lee ◽  
Dong‐Kyou Lee ◽  
...  
Keyword(s):  
South Korea ◽  
East Asia ◽  
Climate Models ◽  
Regional Climate ◽  
Far East ◽  
Summer Precipitation ◽  
Regional Climate Models

scholarly journals Source apportionment of atmospheric water over East Asia – a source tracer study in CAM5.1

2017 ◽  
Vol 10 (2) ◽  
pp. 673-688 ◽  
Author(s):  
Chen Pan ◽  
Bin Zhu ◽  
Jinhui Gao ◽  
Hanqing Kang
Keyword(s):  
East Asia ◽  
Source Apportionment ◽  
Water Vapour ◽  
Southern China ◽  
Source Region ◽  
Summer Precipitation ◽  
Small Contribution ◽  
Atmospheric Water ◽  
Transport Pathway ◽  
Moisture Source

Abstract. The atmospheric water tracer (AWT) method is implemented in the Community Atmosphere Model version 5.1 (CAM5.1) to quantitatively identify the contributions of various source regions to precipitation and water vapour over East Asia. Compared to other source apportionment methods, the AWT method was developed based on detailed physical parameterisations, and can therefore trace the behaviour of atmospheric water substances directly and exactly. According to the simulation, the northern Indian Ocean (NIO) is the dominant oceanic moisture source region for precipitation over the Yangtze River valley (YRV) and southern China (SCN) in summer, while the north-western Pacific (NWP) dominates during other seasons. Evaporation over the South China Sea (SCS) is responsible for only 2.7–3.7 % of summer precipitation over the YRV and SCN. In addition, the Indo-China Peninsula is an important terrestrial moisture source region (annual contribution of  ∼  10 %). The overall relative contribution of each source region to the water vapour amount is similar to the corresponding contribution to precipitation over the YRV and SCN. A case study for the SCS shows that only a small part ( ≤  5.5 %) of water vapour originates from local evaporation, whereas much more water vapour is supplied by the NWP and NIO. In addition, because evaporation from the SCS represents only a small contribution to the water vapour over the YRV and SCN in summer, the SCS mainly acts as a water vapour transport pathway where moisture from the NIO and NWP meet.

A projection of future changes in summer precipitation and monsoon in East Asia

2009 ◽  
Vol 53 (2) ◽  
pp. 284-300 ◽  
Author(s):  
Ying Sun ◽  
YiHui Ding
Keyword(s):  
East Asia ◽  
Summer Precipitation

On the astronomical forcing of simple conceptual ice age models

2020 ◽  
Author(s):  
Gaëlle Leloup ◽  
Didier Paillard
Keyword(s):  
Conceptual Model ◽  
Climate Model ◽  
Ice Age ◽  
Early Pleistocene ◽  
Model Parameters ◽  
Ice Ages ◽  
Glacial Cycles ◽  
Orbital Parameters ◽  
Ice Volume ◽  
Astronomical Forcing

<p>Variations of the Earth’s orbital parameters are known to pace the ice volume variations of the last million year [1], even if the precise mechanisms remain unknown.<br>Several conceptual models have been used to try to better understand the connection between ice-sheet changes and the astronomical forcing. An often overlooked question is to decide which astronomical forcing can best explain the observed cycles.</p><p>A rather traditional practice was to use the insolation at a some specific day of the year, for instance at mid-july [2] or at the june solstice [3].<br>But it was also suggested that the integrated forcing above some given threshold could be a better alternative [4]. In a more recent paper, Tzedakis et al. [5] have shown that simple rules, based on the original Milankovitch forcing or caloric seasons, could also be used to explain the timing of ice ages.<br>Here we adapt and simplify the conceptual model of Parrenin and Paillard 2003 [6], to first reduce the set of parameters.<br>Like in the original conceptual model from [6], this simplified conceptual model is based on climate oscillations between two states: glaciation and deglaciation. It switches to one another when crossing a defined threshold. While the triggering of glaciations is only triggered by orbital parameters, the triggering of deglaciations is triggered by a combination of orbital parameters and ice volume. <br>Then, we apply the different possible forcings listed above and we try to adapt the model parameters to reproduce the ice volume record, at least in a qualitative way. This allows us to discuss which kind of astronomical forcing better explains the Quaternary ice ages, in the context of such simple threshold-based models.</p><p>[1] Variations in the Earth's Orbit: Pacemaker of the Ice Ages, Hays et al., 1976, Science
</p><p>[2] Modeling the Climatic Response to Orbital Variations, Imbrie and Imbrie, 1980, Science
</p><p>[3] The timing of Pleistocene glaciations from a simple multiple-state climate model, Paillard, 1998, Nature</p><p>[4] Early Pleistocene Glacial Cycles and the Integrated Summer Insolation Forcing, Huybers et al., 2006, Science</p><p>[5] A simple rule to determine which insolation cycles lead to interglacials, Tzedakis et al., 2017, Nature</p><p>[6] Amplitude and phase of glacial cycles from a conceptual model, Parrenin Paillard, 2003, EPSL.</p>

Sign in / Sign up

Export Citation Format

Share Document