Impacts of Mid‐Pliocene Ice Sheets and Vegetation on Afro‐Asian Summer Monsoon Rainfall Revealed by EC‐Earth Simulations DOI Creative Commons
Zixuan Han, Katherine Power, Gen Li

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(2)

Published: Jan. 20, 2024

Abstract The impact of mid‐Pliocene boundary conditions on Afro‐Asian summer monsoon (AfroASM) rainfall is examined using the fully coupled Earth System Model EC‐Earth3‐LR. Our focus lies effects varying CO 2 concentration, diminished ice sheets and vegetation dynamics. We find that enhanced AfroASM predominantly caused by “warmer‐gets‐wetter” mechanism due to elevated levels. Additionally, sheet, similar in size era, creates several indirect effects. These include sea ice‐albedo feedback inter‐hemispheric atmosphere energy transport. Such influences result southward shift Hadley circulation formation Pacific‐Japan pattern, leading reduced North African South Asian regions but increased East region. Interestingly, while dynamic has a minimal direct effect rainfall, it significantly mid‐high latitudes Hemisphere enhancing water vapor feedback.

Language: Английский

Coupled Pacific Rim megadroughts contributed to the fall of the Ming Dynasty’s capital in 1644 CE DOI
Feng Chen, Tao Wang, Xiaoen Zhao

et al.

Science Bulletin, Journal Year: 2024, Volume and Issue: 69(19), P. 3106 - 3114

Published: April 17, 2024

Language: Английский

Citations

25

How does vegetation change under the warm–wet tendency across Xinjiang, China? DOI Creative Commons
Hao Zhang, Zengyun Hu, Zhuo Zhang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 127, P. 103664 - 103664

Published: Jan. 21, 2024

Recently, the warm–wet tendency in northwestern China has become a hot research topic. How does vegetation change under this tendency, and what are impacts of climate on vegetation? To address these questions, dynamic variations their relationships with five factors (i.e., Pre: precipitation, Tmp: temperature, SM: root zone soil moisture, Vap: vapor pressure, Pet: potential evapotranspiration) across Xinjiang comprehensively analyzed during period 1982–2021. The spatiotemporal using normalized difference index (NDVI) leaf area (LAI), employing Mann–Kendall (M−K) empirical orthogonal function (EOF) approaches. key findings indicate that significant greening trend is observed, value 0.00226 m2m-2year−1 according to annual LAI. For seasonal variations, had largest increasing summer (JJA: June, July, August) compared other seasons, values 0.000876 year−1 0.00382 for NDVI LAI, respectively (p < 0.05). spring (MAM: March, April, May) growing season (GS) also have trends based Spatially, approximately 40 % areas an trend, indicating which mainly distributed mountainous Xinjiang. EOF results suggest trend. significantly positively correlated factors, illustrates positive influence vegetation. Our study helps better understand long-term provides important scientific basis net primary production (NPP) carbon cycle

Language: Английский

Citations

12

Warming-and-wetting trend over the China’s drylands: Observational evidence and future projection DOI Creative Commons
Boyang Li, Dongwei Liu, Entao Yu

et al.

Global Environmental Change, Journal Year: 2024, Volume and Issue: 86, P. 102826 - 102826

Published: March 11, 2024

A recent "warming-and-wetting" trend over China's drylands has raised widespread attention in the scientific community. Based on observations and model projections of temperature precipitation, this study shows that warming regional wetting is becoming stronger. Over past 60 years, increased at a rate 0.34 °C/10a, much higher than China (0.29 °C/10a) globally (0.22 °C/10a). The been primarily apparent western part since 1980s, particularly mountainous areas. In northeast edge Qinghai-Tibet Plateau, exceeded 30 mm/10a. possible cause increase precipitation may be convective also concentrating Model show weak strong future under RCP2.6 RCP8.5 scenarios, respectively. Precipitation will slightly mid-21st century then decrease slowly until end 21st scenario. comparison, scenario, it by 15–25% century.

Language: Английский

Citations

12

Interpretable baseflow segmentation and prediction based on numerical experiments and deep learning DOI
Qiying Yu,

Shi Chen,

Yungang Bai

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 360, P. 121089 - 121089

Published: May 10, 2024

Language: Английский

Citations

10

Effects of cascade hydropower stations on hydrologic cycle in Xiying river basin, a runoff in Qilian mountain DOI
Rui Li, Guofeng Zhu,

Siyu Lu

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 646, P. 132342 - 132342

Published: Nov. 17, 2024

Language: Английский

Citations

10

Unraveling the impact of climatic warming and wetting on eukaryotic microbial diversity and assembly mechanisms: A 10-year case study in Lake Bosten, NW China DOI
Zhen Shen,

Bobing Yu,

Yi Gong

et al.

Water Research, Journal Year: 2024, Volume and Issue: 256, P. 121559 - 121559

Published: March 31, 2024

Language: Английский

Citations

9

Abrupt climate change in arid central Asia during the Holocene: A review DOI Open Access
Xiaokang Liu, Jianhui Chen, Shengqian Chen

et al.

Earth-Science Reviews, Journal Year: 2023, Volume and Issue: 242, P. 104450 - 104450

Published: May 19, 2023

Language: Английский

Citations

17

Spatiotemporal Characteristics of Drought in Northwest China Based on SPEI Analysis DOI Creative Commons

Yongqin Peng,

Tao Peng,

Yan Li

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(7), P. 1188 - 1188

Published: July 23, 2023

Drought has a direct impact on regional agricultural production, ecological environment, and economic development. The northwest region of China is an important production area, but it also one the most serious areas water shortage due to drought little rain. It great significance make full use resources clarify temporal spatial distribution characteristics regime in Northwest China. Based Standardized Precipitation Evapotranspiration Index (SPEI), this paper used methods Mann–Kendall non-parameter trend, mutation test, Morlet wavelet analysis explore from 1961 2017. results showed that SPEI annual seasonal scales differed slightly different regions, southeast, was generally wetter drier. intensity (Sij) had step-like with range 1.14–1.98. Sij analysis, frequency moderate, followed by extreme drought, severe light drought. inter-annual station proportion (Pj) ranged 7.4% 84.1%. A total 25, 18, 7, 5 years pan-regional partial local occurred, respectively, based Pj analysis. Moreover, whole study period, changes tended cause humidification degrees. there were multiple time 33–52, 11–19, 4–7 entire domain, dry wet trends occurred. present research can provide reference for efficient utilization resources, monitoring early warning, prevention, relief

Language: Английский

Citations

13

Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China DOI Creative Commons
Xiangyu Ge, Jianli Ding, Nigenare Amantai

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: April 16, 2024

Amidst the backdrop of global climate change, it is imperative to comprehend intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed Ensemble Empirical Mode Decomposition (EEMD) method analyze multifaceted dynamics water vegetation Bosten Lake Watershed multiple temporal scales. This analysis has shed light on how elements interact with revealing significant insights. From March October, approximately 14.9–16.8% areas permanent were susceptible receding drying up. Both annual monthly values Lake’s level area exhibited a trend initial decline followed by an increase, reaching their lowest point 2013 (1,045.0 m 906.6 km2, respectively). Approximately 7.7% vegetated showed increase Normalized Difference Vegetation Index (NDVI). NDVI volatility was observed 23.4% areas, primarily concentrated southern part study near Bosten. Regarding components (6 &lt; T 24 months), temperature, 3-month cumulative NDVI, 3-month-leading precipitation strongest correlation changes area. For interannual (T≥ precipitation, temperature displayed most robust alterations In both components, had negative impact area, while exerted positive effects. Through comparative analysis, this reveals importance periodicity developing adaptive strategies for achieving Sustainable Development Goals dryland watersheds. introduces methodology dissecting trends scale lake links variations different The inherent correlations uncovered research can serve as valuable guidance future investigations into regions.

Language: Английский

Citations

5

Investigating the underlying drivers of vegetation dynamics in cold-arid mountainous DOI
Xiong Xiao, Qingyu Guan, Zepeng Zhang

et al.

CATENA, Journal Year: 2024, Volume and Issue: 237, P. 107831 - 107831

Published: Jan. 22, 2024

Language: Английский

Citations

4