Journal of Mountain Science, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 23, 2024
Language: Английский
Journal of Mountain Science, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 23, 2024
Language: Английский
Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(3)
Published: Jan. 31, 2025
Abstract Past North Atlantic abrupt cold events have the potential to provide insights into future climatic response slowdown of meridional overturning circulation (AMOC). This study explores spring temperature changes on southern Tibetan Plateau during 8.2 ka event through simulations forced by freshwater hosing. Simulation results reveal anomalous warming due hosing‐induced AMOC slowdown. was primary caused increase net solar flux and presence an warm anticyclone over Plateau. The enhanced resulted from decrease in snowfall, which led a reduction albedo. snowfall mainly reduced westerly moisture transport, resulting weakened lower‐level westerlies induced AMOC‐driven climate variabilities tropical Indian Ocean. vertical northerly shear southeastern Plateau, diabatic heating released Asian monsoon rainfall. rainfall increased cyclone Mastuno‐Gill Ocean amplified wave train propagating Atlantic, both were weakening is likely play important role recent ongoing amplification
Language: Английский
Citations
1Quaternary Science Reviews, Journal Year: 2025, Volume and Issue: 355, P. 109267 - 109267
Published: Feb. 22, 2025
Language: Английский
Citations
0Journal of Arid Environments, Journal Year: 2025, Volume and Issue: 229, P. 105394 - 105394
Published: April 21, 2025
Language: Английский
Citations
0GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 61(1)
Published: May 7, 2024
Global warming could affect vegetation growth, while land surface temperature has exhibited an asymmetric pattern over the past 50 years. The Tibetan Plateau, known as "the roof of world," experiences almost twice high global average. However, previous research largely overlooked impacts this asymmetrical on growth and temporal changes in these impacts. In study, we assess effects at regional different types by using partial correlation analysis, reveal strength time moving window. results showed that there had been a significant greening trend (1.01 × 10−3 yr−1, p < 0.01) Normalized Difference Vegetation Index (NDVI) during growing season, well trends both maximum temperatures (Tmax, 0.0354°C minimum (Tmin, 0.0333°C 2000–2021. Under background warming, grassland stronger Tmin than Tmax NDVI, opposite were observed for forests. Over time, response NDVI to intensified. This study highlights importance projection climate change similarly vulnerable ecosystems worldwide.
Language: Английский
Citations
2Forest Ecology and Management, Journal Year: 2024, Volume and Issue: 558, P. 121796 - 121796
Published: March 6, 2024
Language: Английский
Citations
2International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 132, P. 104026 - 104026
Published: July 10, 2024
Since the arid regions of Central Asia (ACA) are located in interior Eurasia, water resources play a vital role stability its ecosystem and economic development. Based on terrestrial storage anomaly (TWSA) Gravity Recovery Climate Experiment (GRACE), we analyze observed characteristics TWSA over ACA during 2003–2014. Results indicate that (TWS) region showed an overall declining trend from 2003 to 2014, autumn TWS this is smallest compared other seasons exhibits strong decreasing at least −4.5 cm/decade. This means scarcer more vulnerable autumn. The Distance between Indices Simulation Observation (DISO) method employed evaluate performance sixth phase Coupled Model Intercomparison Project (CMIP6) models simulating ACA. Compared with observational results, values captured by CMIP6 larger trends weaker. Using optimal models, statistical downscaling constrains projection results using GRACE datasets. It shows will continue decrease most parts future, scarcity be severe Tajikistan southwestern Kazakhstan. Under SSP126, Tajikistan's projected 11.0 cm long term. study reveals current situation possible future changes autumn, providing references for resource management sustainable development policies area avoid losses caused scarcity.
Language: Английский
Citations
2Atmospheric Research, Journal Year: 2024, Volume and Issue: 310, P. 107631 - 107631
Published: Aug. 11, 2024
The winter sea ice over the Barents-Kara Sea (BKS) is reducing at an alarming rate, which impacts Arctic shipping routes and local ecosystems as well climate system across other regions. Consequently, it imperative to project ice-free state in this region adequately prepare for future change its impacts. However, most models from Coupled Model Intercomparison Project Phase 6 (CMIP6) show higher climatological values, weaker decreasing trends, lower interannual variabilities BKS concentration compared observation. Additionally, can be also seen that there exist great uncertainties projections of different on whether will winters period, spans almost entire 21st century. Therefore, study adopts two approaches developed distance between indices simulation observation (DISO) method period under emission scenarios. results indicate SSP1–2.6, not by 2100. For SSP2–4.5, SSP3–7.0, SSP5–8.5, projected during 2076–2086, 2063–2068, 2049–2061, respectively. By employing DISO method, projection uncertainty reduced highlight urgency greenhouse gas emissions delay BKS. These are intended provide a reference policymakers.
Language: Английский
Citations
1Atmospheric Research, Journal Year: 2024, Volume and Issue: 311, P. 107725 - 107725
Published: Oct. 11, 2024
Language: Английский
Citations
1Published: Jan. 1, 2023
Since the arid regions of Central Asia (ACA) is located in interior Eurasia, water resources play a vital role stability its ecosystem and economic development. Based on terrestrial storage anomaly (TWSA) Gravity Recovery Climate Experiment (GRACE), we analyze observed characteristics TWSA over ACA during 2003-2014. The results indicate (TWS) this region smallest has strong decreasing trend autumn. This means are scarcer more vulnerable distance between indices simulation observation (DISO) method employed to evaluate sixth phase Coupled Model Intercomparison Project (CMIP6) models’ performance autumn TWS ACA. Compared with observational results, values simulated by CMIP6 models larger declining trends weaker. Therefore, basis selecting optimal models, use statistical downscaling constrain projection GRACE datasets. It shows will continue decrease most parts future, scarcity be severe Tajikistan southwestern Kazakhstan. study reveals current situation possible future changes autumn, hoping provide references for resource management sustainable development policies area avoid losses caused scarcity.
Language: Английский
Citations
1Journal of Mountain Science, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 23, 2024
Language: Английский
Citations
0