The focus on addressing vegetation risks in China should shift from the western past to the eastern future DOI Creative Commons

Zijie Kong,

Xiaoya Deng,

Hongbo Ling

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112605 - 112605

Published: Sept. 14, 2024

Language: Английский

Discussion of the “warming and wetting” trend and its future variation in the drylands of Northwest China under global warming DOI Open Access
Fahu Chen,

Tingting Xie,

Yujie Yang

et al.

Science China Earth Sciences, Journal Year: 2023, Volume and Issue: 66(6), P. 1241 - 1257

Published: May 16, 2023

Language: Английский

Citations

72

Integrated warm-wet trends over the Tibetan Plateau in recent decades DOI

Yifeng Yu,

Qinglong You, Yuqing Zhang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 639, P. 131599 - 131599

Published: July 2, 2024

Language: Английский

Citations

13

The increases in extreme climatic events over the northeastern Tibetan Plateau and their association with atmospheric circulation changes DOI

Lanya Liu,

Xiaohua Gou, Xuejia Wang

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 304, P. 107410 - 107410

Published: April 9, 2024

Language: Английский

Citations

8

Evaluation and projection of changes in temperature and precipitation over Northwest China based on CMIP6 models DOI
Xuanyu Song,

Min Xu,

Shichang Kang

et al.

International Journal of Climatology, Journal Year: 2024, Volume and Issue: 44(14), P. 5039 - 5056

Published: Oct. 8, 2024

Abstract Northwest China is much more sensitive to climate warming, and the has varied rapidly from warm drought humid conditions. In addition, due complex terrain of China, methods parameterization schemes different CMIP6 models, these models are mostly applied arid areas in or Central Asia, lacking data for plateau eastern Lanzhou, specifically filtering evaluating applicable models. this paper, 34 used evaluate forecast future trends under SSP126, SSP245 SSP585 scenarios short, medium long term. temperature precipitation identified by applying interannual variability skill score (IVS) between CN05.1 datasets historical which suitable China. Then, we assess characteristics, warming wetting deviations, uncertainties prediction climatic change according over The results show that AWI‐CM‐1‐1‐MR, BCC‐CSM2‐MR, FGOALS‐g3, INM‐CM4‐8, INM‐CM5‐0 MRI‐ESM2‐0. multi‐model ensemble mean (MMEM) better capability than individual prediction. Spatiotemporal shows overall trends. IVS provides ability estimate model simulation performance both temporally spatially. quite good Tarim Basin Hexi Corridor region, Altai Mountains, Tianshan Mountains region. Cold wet deviations occur topography few stations, common reasons. main sources during century uncertainty (before 2090s) scenario (after 2090s), becomes source uncertainty.

Language: Английский

Citations

5

Disaster effects of climate change and the associated scientific challenges DOI
Yan Wang, Hao Wang, Peng Cui

et al.

Chinese Science Bulletin (Chinese Version), Journal Year: 2023, Volume and Issue: 69(2), P. 286 - 300

Published: July 24, 2023

Language: Английский

Citations

13

Projection of snowfall and precipitation phase changes over the Northwest China based on CMIP6 multimodels DOI
Min Xu, Zhikang Hou, Shichang Kang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 641, P. 131743 - 131743

Published: July 29, 2024

Language: Английский

Citations

4

A Framework for Analysing Multi‐Timescales Evolution Patterns in Precipitation–Streamflow Relationship DOI Open Access
Jiefeng Wu,

Tiesheng Guan,

Xuemei Li

et al.

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(1)

Published: Jan. 1, 2025

ABSTRACT The precipitation–streamflow relationship (PSR) is one of the most crucial aspects hydrological process studies. Previous studies have analysed changes PSR at specific timescales (e.g., annual or seasonal), overlooking characteristics across multiple and that occur over time. This study presented an integrated framework to address these issues from three perspective: inconsistencies, response sensitivity streamflow precipitation oscillation periods. monthly data representative reaches located in upper middle sections Yellow River Basin 1961 2021. results indicate proposed effectively reveals evolving patterns PSR. evolution vary different time scales. Notably, inconsistencies variations are significant manifest differently various timescales. These differences were particularly pronounced when comparing periods before after 2000. varied among periods, examination resonant period variability revealed a shift strong‐to‐weak resonance within 32–64‐month period, followed by weak‐to‐strong transition 128‐month period. has significantly enhanced our understanding provided valuable insights for managing processes changing environment.

Language: Английский

Citations

0

A half-century drying in Gobi Oasis, possible role of ENSO and warming/moistening of Northwest China DOI
Qiang Li, Yifan Wu, Xiangyu Duan

et al.

Global and Planetary Change, Journal Year: 2025, Volume and Issue: unknown, P. 104769 - 104769

Published: Feb. 1, 2025

Language: Английский

Citations

0

Impacts of glacier shrinkage on peak melt runoff at the sub-basin scale of Northwest China DOI
Min Xu, P. Wang, Xi Zhang

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132953 - 132953

Published: Feb. 1, 2025

Language: Английский

Citations

0

Synergistic Influence of Eurasian Soil Moisture and Pacific Sea Surface Temperature Anomalies on August Out‐Of‐Phase Precipitation Pattern in Northern China DOI Creative Commons

Yuchun Du,

Huopo Chen

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(5)

Published: March 5, 2025

Abstract This study delves into the interannual variability of August precipitation in northern China, revealing that leading mode exhibits a zonal out‐of‐phase pattern, with dividing line around 100°E. The western region (WNC) serves as positive anomaly center, contrasting eastern (ENC) negative center. disparity is largely due to dynamic and moisture conditions between these regions, influenced by quasi‐barotropic anomalous cyclonic circulation over Central Asia anticyclonic Mongolia. Further analysis reveals land oceanic processes are pivotal modulating this pattern. Specifically, soil anomalies Eurasia sea surface temperature (SST) central Pacific critical. In August, Eurasian influence local thermal processes, eastward‐propagating Rossby wave circulations. Simultaneously, SST initiate an meridional Pacific‐Japan (PJ) train. These induce opposing promote WNC suppress it ENC, thus establishing observed our study, contribute approximately 44.9% 21.2%, respectively, linear variance collectively accounting for 54.8% variation. investigation required gain deeper understanding phenomenon.

Language: Английский

Citations

0