The impacts of solar activity on climate are explored in this two-part study. Based on the principles of atmospheric dynamics, Part I propose an amplifying mechanism of solar impacts on winter climate extremes through...The impacts of solar activity on climate are explored in this two-part study. Based on the principles of atmospheric dynamics, Part I propose an amplifying mechanism of solar impacts on winter climate extremes through changing the atmospheric circulation patterns. This mechanism is supported by data analysis of the sunspot number up to the predicted Solar Cycle 24, the historical surface temperature data, and atmospheric variables of NCEP/NCAR Reanalysis up to the February 2011 for the Northern Hemisphere winters. For low solar activity, the thermal contrast between the low- and high-latitudes is enhanced, so as the mid-latitude baroclinic ultra-long wave activity. The land-ocean thermal contrast is also enhanced, which amplifies the topographic waves. The enhanced mid-latitude waves in turn enhance the meridional heat transport from the low to high latitudes, making the atmospheric ＂heat engine＂ more efficient than normal. The jets shift southward and the polar vortex is weakened. The Northern Annular Mode （NAM） index tends to be negative. The mid-latitude surface exhibits large-scale convergence and updrafts, which favor extreme weather/climate events to occur. The thermally driven Siberian high is enhanced, which enhances the East Asian winter monsoon （EAWM）. For high solar activity, the mid-latitude circulation patterns are less wavy with less meridional transport. The NAM tends to be positive, and the Siberian high and the EAWM tend to be weaker than normal. Thus the extreme weather/climate events for high solar activity occur in different regions with different severity from those for low solar activity. The solar influence on the mid- to high-latitude surface temperature and circulations can stand out after removing the influence from the E1 Nifio-Southern Oscillation. The atmospheric amplifying mechanism indicates that the solar impacts on climate should not be simply estimated by the magnitude of the change in the solar radiation over solar cycles when it is compared with other external radiative forcings that do not influence the climate in the same way as the sun does.展开更多
Part II of this study detects the dominant decadal-centennial timescales in four SST indices up to the 2010/2011 winter and tries to relate them to the observed 11-yr and 88-yr solar activity with the sunspot number u...Part II of this study detects the dominant decadal-centennial timescales in four SST indices up to the 2010/2011 winter and tries to relate them to the observed 11-yr and 88-yr solar activity with the sunspot number up to Solar Cycle 24. To explore plausible solar origins of the observed decadal-centennial timescales in the SSTs and climate variability in general, we design a simple one-dimensional dynamical system forced by an annual cycle modulated by a small-amplitude single- or multi-scale ＂solar activity.＂ Results suggest that nonlinear harmonic and subharmonic resonance of the system to the forcing and period-doubling bifurcations are responsible for the dominant timescales in the system, including the 60-yr timescale that dominates the Atlantic Multidecadal Oscillation. The dominant timescales in the forced system depend on the system＇s parameter setting. Scale enhancement among the dominant response timescales may result in dramatic amplifications over a few decades and extreme values of the time series on various timescales. Three possible energy sources for such amplifications and extremes are proposed. Dynamical model results suggest that solar activity may play an important yet not well recognized role in the observed decadal-centennial climate variability. The atmospheric dynamical amplifying mechanism shown in Part I and the nonlinear resonant and bifurcation mechanisms shown in Part II help us to understand the solar source of the multi-scale climate change in the 20th century and the fact that different solar influenced dominant timescales for recurrent climate extremes for a given region or a parameter setting. Part II also indicates that solar influences on climate cannot be linearly compared with non-cyclic or sporadic thermal forcings because they cannot exert their influences on climate in the same way as the sun does.展开更多
We apply Singular Spectrum Analysis to four datasets of observed global-mean near-surface temperature from start year to through 2012: HadCRU (to = 1850), NOAA (to = 1880), NASA (to = 1880), and JMA (to = 1891). For e...We apply Singular Spectrum Analysis to four datasets of observed global-mean near-surface temperature from start year to through 2012: HadCRU (to = 1850), NOAA (to = 1880), NASA (to = 1880), and JMA (to = 1891). For each dataset, SSA reveals a trend of increasing temperature and several quasi-periodic oscillations (QPOs). QPOs 1, 2 and 3 are predictable on a year-by-year basis by sine waves with periods/amplitudes of: 1) 62.4 years/0.11°C;2) 20.1 to 21.4 years/0.04°C to 0.05°C;and 3) 9.1 to 9.2 years/0.03°C to 0.04°C. The remainder of the natur°l variability is not predictable on a year-by-year basis. We represent this noise by its 90 percent confidence interval. We combine the predictable and unpredictable natural variability with the temperature changes caused by the 11-year solar cycle and humanity, the latter for both the Reference and Revised-Fair-Plan scenarios for future emissions of greenhouse gases. The resulting temperature departures show that we have moved from the first phase of learning—Ignorance—through the second phase—Uncertainty—and are now entering the third phase—Resolution—when the human-caused signal is much larger than the natural variability. Accordingly, it is now time to transition to the post-fossil-fuel age by phasing out fossil-fuel emissions from 2020 through 2100.展开更多
Agricultural pests cause enormous losses in annual agricultural production.Understanding the evolutionary responses and adaptive capacity of agricultural pests under climate change is crucial for establishing sustaina...Agricultural pests cause enormous losses in annual agricultural production.Understanding the evolutionary responses and adaptive capacity of agricultural pests under climate change is crucial for establishing sustainable and environmentally friendly agricultural pest management.In this study,we integrate climate modeling and landscape genomics to investigate the distributional dynamics of the cotton bollworm(Helicoverpa armigera)in the adaptation to local environments and resilience to future climate change.Notably,the predicted inhabitable areas with higher suitability for the cotton bollworm could be eight times larger in the coming decades.Climate change is one of the factors driving the dynamics of distribution and population differentiation of the cotton bollworm.Approximately 19,000 years ago,the cotton bollworm expanded from its ancestral African population,followed by gradual occupations of the European,Asian,Oceanian,and American continents.Furthermore,we identify seven subpopulations with high dispersal and adaptability which may have an increased risk of invasion potential.Additionally,a large number of candidate genes and SNPs linked to climatic adaptation were mapped.These findings could inform sustainable pest management strategies in the face of climate change,aiding future pest forecasting and management planning.展开更多
Located downstream the Kupang Catchment in Indonesia,Pekalongan faces significant land subsidence issues,leading to severe coastal flooding.This study aimed to assess the impact of climate change on future flow regime...Located downstream the Kupang Catchment in Indonesia,Pekalongan faces significant land subsidence issues,leading to severe coastal flooding.This study aimed to assess the impact of climate change on future flow regimes and hydrological extremes to inform long-term water resources management strategies for the Kupang Catchment.Utilizing precipitation and air temperature data from general circulation models in the Coupled Model Intercomparison Project 6(CMIP6)and employing bias correction techniques,the Soil and Water Assessment Tool(SWAT)hydrological model was employed to analyze climate-induced changes in hydrological fluxes,specifically streamflow.Results indicated a consistent increase in monthly streamflow during the wet season,with a substantial rise of 22.8%,alongside a slight decrease of 18.0%during the dry season.Moreover,both the frequency and severity of extremely low and high flows were projected to intensify by approximately 50%and 70%,respectively,for a 20-year return period,suggesting heightened flood and drought risks in the future.The observed declining trend in low flow,by up to 11%,indicated the potential for long-term groundwater depletion exacerbating the threat of land subsidence and coastal flooding,especially in areas with inadequate surface water management policies and infrastructure.展开更多
Climate change is significantly impacting cotton production in the Tarim River Basin.The study investigated the climate change characteristics from 2021 to 2100 using climate change datasets simulated per the coupled ...Climate change is significantly impacting cotton production in the Tarim River Basin.The study investigated the climate change characteristics from 2021 to 2100 using climate change datasets simulated per the coupled model inter-comparison project phase six(CMIP6)climatic patterns under the shared socioeconomic pathways SSP2-4.5 and SSP5-8.5.The DSSAT-CROPGROCotton model,along with stepwise multiple regression analyses,was used to simulate changes in the potential yield of seed cotton due to climate change.The results show that while future temperatures in the Tarim River Basin will rise significantly,changes in precipitation and radiation during the cotton-growing season are minimal.Seed cotton yields are more sensitive to low temperatures than to precipitation and radiation.The potential yield of seed cotton under the SSP2-4.5 scenario would increase by 14.8%,23.7%,29.0%,and 29.4%in the 2030S,2050S,2070S,and 2090S,respectively.In contrast,under the SSP5-8.5 scenario,the potential yield of seed cotton would see increases of 17.5%,27.1%,30.1%,and 22.6%,respectively.Except for the 2090s under the SSP5-8.5 scenario,future seed cotton production can withstand a 10%to 20%deficit in irrigation.These findings will help develop climate change adaptation strategies for cotton cultivation.展开更多
This past year, 2024, is on track to be the warmest year, joining 2023 as the two hottest years on record. With the exceptional heat, weather and climate extremes were common across the world. In particular, 2024 has ...This past year, 2024, is on track to be the warmest year, joining 2023 as the two hottest years on record. With the exceptional heat, weather and climate extremes were common across the world. In particular, 2024 has seen a remarkable run of extreme precipitation events and resulting impacts. Here, we provide an overview of the most notable extreme events of the year, including extreme precipitation and floods, tropical cyclones, and droughts. The characteristics and impacts of these extreme events are summarized, followed by discussion on the physical drivers and the role of global warming.Finally, we also discuss the future prospects in extreme event studies, including impact-based perspectives, challenges in attribution of precipitation extremes, and the existing gap to minimize impacts from climate extremes.展开更多
As global greenhouse gases continue rising,the urgency of more ambitious action is clearer than ever before.China is the world’s biggest emitter of greenhouse gases and one of the countries affected most by climate c...As global greenhouse gases continue rising,the urgency of more ambitious action is clearer than ever before.China is the world’s biggest emitter of greenhouse gases and one of the countries affected most by climate change.The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts.展开更多
A nonlinear multi-scale interaction(NMI)model was proposed and developed by the first author for nearly 30 years to represent the evolution of atmospheric blocking.In this review paper,we first review the creation and...A nonlinear multi-scale interaction(NMI)model was proposed and developed by the first author for nearly 30 years to represent the evolution of atmospheric blocking.In this review paper,we first review the creation and development of the NMI model and then emphasize that the NMI model represents a new tool for identifying the basic physics of how climate change influences mid-to-high latitude weather extremes.The building of the NMI model took place over three main periods.In the 1990s,a nonlinear Schr?dinger(NLS)equation model was presented to describe atmospheric blocking as a wave packet;however,it could not depict the lifetime(10-20 days)of atmospheric blocking.In the 2000s,we proposed an NMI model of atmospheric blocking in a uniform basic flow by making a scale-separation assumption and deriving an eddyforced NLS equation.This model succeeded in describing the life cycle of atmospheric blocking.In the 2020s,the NMI model was extended to include the impact of a changing climate mainly by altering the basic zonal winds and the magnitude of the meridional background potential vorticity gradient(PVy).Model results show that when PVy is smaller,blocking has a weaker dispersion and a stronger nonlinearity,so blocking can be more persistent and have a larger zonal scale and weaker eastward movement,thus favoring stronger weather extremes.However,when PVy is much smaller and below a critical threshold under much stronger winter Arctic warming of global warming,atmospheric blocking becomes locally less persistent and shows a much stronger westward movement,which acts to inhibit local cold extremes.Such a case does not happen in summer under global warming because PVy fails to fall below the critical threshold.Thus,our theory indicates that global warming can render summer-blocking anticyclones and mid-to-high latitude heatwaves more persistent,intense,and widespread.展开更多
The G20 Youth Summit(Y20)took place in Johannesburg,South Africa,from 18 to 23 August.Sun Ruoshui,a research assistant from the Institute of Climate Change and Sustainable Development,Tsinghua University,was appointed...The G20 Youth Summit(Y20)took place in Johannesburg,South Africa,from 18 to 23 August.Sun Ruoshui,a research assistant from the Institute of Climate Change and Sustainable Development,Tsinghua University,was appointed by the All-China Youth Federation to represent China in the discussions on Climate and Environmental Sustainability.Specialising in global climate governance,international climate negotiation and climate policy,Sun has previously served as a member of the Chinese delegation to the 2023 United Nations Climate Change Conference(COP28)and 2024 Bonn Subsidiary Bodies Meeting.展开更多
We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other ...We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other countries will require the rapid construction of communities capable of supporting them, their families, businesses and farms. However, different political-economic conditions are found across the areas which can serve as locations for these Climate Change Haven Communities. We develop funding and construction strategies for the United States (free-market capitalism), France and Spain (European Union supported economies), and Taiwan region (state-directed economy). The proposals for the Taiwan region should also be applicable to the rest of China.展开更多
To address climate change and highlight its global nature,the United Nations Framework Convention on Climate Change(UNFCCC)was adopted for the first time in history within the UN framework on May 9,1992,clearly establ...To address climate change and highlight its global nature,the United Nations Framework Convention on Climate Change(UNFCCC)was adopted for the first time in history within the UN framework on May 9,1992,clearly establishing the obligations of developed countries to take the lead in emission reduction and provide financial,technological,and capacity-building support to developing countries.Particularly since the 2015 Paris Agreement,successive UN climate conferences have placed high emphasis on financial and technological matters,with financial arrangements demonstrating an increasingly specific trend in recent years.The Glasgow Climate Pact adopted in 2021 urges developed country Parties to deliver on their commitment to the goal of providing USD 100 billion to developing country prties,while also urging developed country parties to at least double their provision of climate finance to developing country parties by 2025 compared to 2019 levels.展开更多
The Arctic and Antarctica are important components of the Earth system,and the snow and ice over the polar regions make the interactions between the spheres there extremely sensitive to climate change,with an amplifyi...The Arctic and Antarctica are important components of the Earth system,and the snow and ice over the polar regions make the interactions between the spheres there extremely sensitive to climate change,with an amplifying effect on climate warming.Polar regions are the forefront of global climate and ecosystem changes.More than half of the identified climate tipping elements in our planet occur in the polar regions,with the losses of Arctic sea ice,Greenland ice sheet,permafrost,and western Antarctic ice sheet,being considered as tipping elements with global impacts that have already occurred(McKay et al.,2022).These changes in the polar regions affect the heat and material transfer,water and carbon cycles,as well as biological diversity at a global scale,closely related to global sustainable development.Therefore,polar regions are also considered the limiting factors in achieving the United Nations Sustainable Development Goals(Li et al.,2025).展开更多
The accelerated pace of natural and human-driven climate change presents profound challenges for Earth's systems.Oceans and ice sheets are critical regulators of climate systems,functioning as carbon sinks and the...The accelerated pace of natural and human-driven climate change presents profound challenges for Earth's systems.Oceans and ice sheets are critical regulators of climate systems,functioning as carbon sinks and thermal reservoirs.However,they are increasingly vulnerable to warming and greenhouse gas emissions.展开更多
Climate change has well-documented psychological consequences for society.However,the emotional experiences of frontline conservation professionals remain underexplored.As key knowledge producers and participants in d...Climate change has well-documented psychological consequences for society.However,the emotional experiences of frontline conservation professionals remain underexplored.As key knowledge producers and participants in decision-making processes,conservation researchers play a crucial role in shaping and implementing adaptation and mitigation efforts,which are pivotal for effective climate planning.Understanding their emotional responses is essential for enhancing the success of these strategies and supporting climate action.This study aims to identify the most prevalent emotions experienced by conservation researchers regarding climate change across various countries and to examine the qualitative and quantitative factors shaping these emotions.An online survey was conducted with 362 participants from 98 academic and research institutions,utilising both closed and open-ended questions to capture demographic data,climate knowledge,stances on mitigation and adaptation,and emotional responses.Data analysis revealed that feelings of powerlessness,guilt,and concern were most frequently reported,driven by a profound sense of inability to halt climate change,frustration with perceived inaction by governments and industries,and self-assessed personal shortcomings.Age and stances on climate adaptation were identified as primary factors influencing emotional responses,particularly among individuals aged 20–50 and 61–70,with opposition to adaptation correlating with stronger emotional reactions.Demographic factors such as region,place of residence,and mitigation stances played a minor role.These findings provide valuable insights into the psychological well-being of conservation researchers related to climate change.展开更多
Forests play a critical role in mitigating cli-mate change by sequestering carbon,yet their responses to environmental shifts remain complex and multifaceted.This special issue,“Tree Rings,Forest Carbon Sink,and Clim...Forests play a critical role in mitigating cli-mate change by sequestering carbon,yet their responses to environmental shifts remain complex and multifaceted.This special issue,“Tree Rings,Forest Carbon Sink,and Climate Change,”compiles 41 interdisciplinary studies exploring forest-climate interactions through dendrochro-nological and ecological approaches.It addresses climate reconstruction(e.g.,temperature,precipitation,isotopes)using tree-ring proxies,species-specific and age-dependent growth responses to warming and drought,anatomical adap-tations,and methodological innovations in isotope analysis and multi-proxy integration.Key findings reveal ENSO/AMO modulation of historical climates,elevation-and latitude-driven variability in tree resilience,contrasting carbon dynamics under stress,and projected habitat shifts for vulnerable species.The issue underscores forests’dual role as climate archives and carbon regulators,offering insights for adaptive management and nature-based climate solutions.Contributions bridge micro-scale physiological processes to macro-scale ecological modeling,advancing sustainable strategies amid global environmental challenges.展开更多
Given the reality of climate-driven migration,the net effectiveness of existing spatially fixed protected areas(PAs)to biodiversity conservation is expected to decline,while the potential of non-PA habitats(non-PAs,i....Given the reality of climate-driven migration,the net effectiveness of existing spatially fixed protected areas(PAs)to biodiversity conservation is expected to decline,while the potential of non-PA habitats(non-PAs,i.e.,natural,altered,or artificial ecosystems that are not formally designated as PAs)for biodiversity conservation is gaining attention.However,the contribution of non-PAs to biodiversity conservation remains poorly understood.With the aim of comprehensively assessing the effectiveness of non-PAs as transient refugia and steppingstones during future climate-change-induced migration of species in China,a six-metric integrated framework was applied and statistics of these metrics for PAs and non-PAs are compared.Results reveal that,a greater area of non-PAs has a low velocity of climate change(VoCC)compared to that of PAs,and can therefore serve as temporary refugia for species.The disappearing climate index(DCI)and novel climate index(NCI)results show that some 17%of the subdivided climate classes within the PAs have changed.However,the displacement index(DI)results imply that nearly half(48.98%)of the PAs need non-PAs to provide transient refugia for climate-driven migration of species in PAs.The higher ratio of effective steppingstones measured using the climate corridor score(CCS)and landscape current flow(LCF)further emphasizes that non-PAs play a more significant role as steppingstones for climate driven migration than do PAs in terms of both their structural and functional connectivity.Our research further demonstrates that a conservation approach that improves connectivity among PAs and considers Other Effective area-based Conservation Measures(OECMs)is essential for long-term biodiversity adaptation to climate change.展开更多
Predicting monsoon climate is one of the major endeavors in climate science and is becoming increasingly challenging due to global warming. The accuracy of monsoon seasonal predictions significantly impacts the lives ...Predicting monsoon climate is one of the major endeavors in climate science and is becoming increasingly challenging due to global warming. The accuracy of monsoon seasonal predictions significantly impacts the lives of billions who depend on or are affected by monsoons, as it is essential for the water cycle, food security, ecology, disaster prevention, and the economy of monsoon regions. Given the extensive literature on Asian monsoon climate prediction, we limit our focus to reviewing the seasonal prediction and predictability of the Asian Summer Monsoon (ASM). However, much of this review is also relevant to monsoon predictions in other seasons and regions. Over the past two decades, considerable progress has been made in the seasonal forecasting of the ASM, driven by an enhanced understanding of the sources of predictability and the dynamics of seasonal variability, along with advanced development in sophisticated models and technologies. This review centers on advances in understanding the physical foundation for monsoon climate prediction (section 2), significant findings and insights into the primary and regional sources of predictability arising from feedback processes among various climate components (sections 3 and 4), the effects of global warming and external forcings on predictability (section 5), developments in seasonal prediction models and techniques (section 6), the challenges and limitations of monsoon climate prediction (section 7), and emerging research trends with suggestions for future directions (section 8). We hope this review will stimulate creative activities to enhance monsoon climate prediction.展开更多
Extreme temperature events have intensified across Jordan over the past 40 a,increasing risks to agriculture,water availability,urban infrastructure,and public health.The purpose of this study is to assess the long-te...Extreme temperature events have intensified across Jordan over the past 40 a,increasing risks to agriculture,water availability,urban infrastructure,and public health.The purpose of this study is to assess the long-term spatial trends and regime shifts in extreme temperature indicators across Jordan's climate zones to explore climate adaptation strategies.This study presents a high-resolution and spatially explicit assessment of thermal extremes using daily data from 1982 to 2024 across 45 grid-based study points in Jordan.Thirteen temperature indices,including percentile-based thresholds,duration metrics,and absolute extremes,were computed using RClimDex and analyzed across four Köppen climate zones:hot desert(BWh),hot semi-arid(BSh),cold desert(BWk),and Mediterranean(Csa)climates.The analysis confirmed a statistically significant warming trend:annual mean maximum temperatures increased by 2.198°C,while annual mean minimum temperatures rose by 2.035°C.Cold extremes have sharply declined,with cold days(TX10p)decreasing by 70.0%–80.0%,and the cold spell duration indicator(CSDI)dropping from 12.6 to 4.0 d/a,particularly in the BWk zone.Heat indices intensified across all zones,with warm days(TX90p)increasing by over 300.0%in BWh,warm nights(TN90p)rising by 38.1%,and the warm spell duration indicator(WSDI)extending fourfold,indicating prolonged exposure to heatwaves.Mean value of maximum temperature(TXx)reached 45.600°C in most arid areas,while minimum temperature(TNx)exceeded 31.600°C,highlighting increased nocturnal heat stress.Change-point analysis indicated that 1998 was a pivotal year,marking a structural transition in both cold and warm temperature indices.Subsequent intensifications after 2010 in TN90p,TNx,and mean of daily maximum temperature(Tmaxmean)reflected an ongoing trend toward sustained thermal extremes.In addition to time-series trends,the study employed network-based correlation analysis to explore the coherence among climate indices.Strong positive correlations were observed among TXx,TX90p,and mean of daily minimum temperature(Tminmean)(r≥0.94),as well as among TN90p,Tminmean,and TNx(r≥0.87),indicating a tightly clustered heat subsystem.Duration metrics like the WSDI showed a close alignment with percentile extremes(between WSDI and TX90p;r=0.88),suggesting integrated heatwave behavior.In contrast,cold indices(TX10p,TN90p,frost days,and CSDI)exhibited weak or negative correlations and displayed peripheral positioning in the climate network,indicating their limited role under a warming regime.Absolute extremes showed weak internal linkages,suggesting episodic rather than systemic response characteristics.This structural realignment indicated a shift from a previously balanced thermal profile to a heat-dominated climate system.Regional variations revealed that BWh and BSh were experiencing the steepest warming,while Csa was transitioning more slowly but was showing signs of reduced winter cooling and increased irrigation demands.The findings establish a robust climate baseline for Jordan and offer actionable insights for climate adaptation planning.Recommended measures include precision irrigation,the development of heat-resilient crops,improvements to urban cooling infrastructure,and early warning systems for thermal extremes.By integrating spatial climate zoning,regime shift analysis,and inter-index correlation structures,this study provides a replicable framework for monitoring climatic transformations and informing resilience strategies in arid and semi-arid areas.展开更多
In recent decades,large ensemble simulation(LENS)or super-large ensemble simulation(SLENS)experiments with climate models,including the simulation of both the historical and future climate,have been increasingly explo...In recent decades,large ensemble simulation(LENS)or super-large ensemble simulation(SLENS)experiments with climate models,including the simulation of both the historical and future climate,have been increasingly exploited in the fields of climate change,climate variability,climate projection,and beyond.This paper provides an overview of LENS in climate systems.It delves into its definition,initialization,significance,and scientific concerns.Additionally,its development history and relevant theories,methods,and primary fields of application are also reviewed.Conclusions obtained from single-model LENS can be more robust compared with those from ensemble simulations with smaller numbers of members.The interactions among model biases,forced responses,and internal variabilities,which serve as the added value in LENS,are highlighted.Finally,we put forward the future trajectory of LENS with climate or Earth system models(ESMs).Super-large ensemble simulation,high-resolution LENS,LENS employing ESMs,and combining LENS with artificial intelligence,will greatly promote the study of climate and related applications.展开更多
基金provided by the LASG State Key Laboratory Special Fund for this research project
文摘The impacts of solar activity on climate are explored in this two-part study. Based on the principles of atmospheric dynamics, Part I propose an amplifying mechanism of solar impacts on winter climate extremes through changing the atmospheric circulation patterns. This mechanism is supported by data analysis of the sunspot number up to the predicted Solar Cycle 24, the historical surface temperature data, and atmospheric variables of NCEP/NCAR Reanalysis up to the February 2011 for the Northern Hemisphere winters. For low solar activity, the thermal contrast between the low- and high-latitudes is enhanced, so as the mid-latitude baroclinic ultra-long wave activity. The land-ocean thermal contrast is also enhanced, which amplifies the topographic waves. The enhanced mid-latitude waves in turn enhance the meridional heat transport from the low to high latitudes, making the atmospheric ＂heat engine＂ more efficient than normal. The jets shift southward and the polar vortex is weakened. The Northern Annular Mode （NAM） index tends to be negative. The mid-latitude surface exhibits large-scale convergence and updrafts, which favor extreme weather/climate events to occur. The thermally driven Siberian high is enhanced, which enhances the East Asian winter monsoon （EAWM）. For high solar activity, the mid-latitude circulation patterns are less wavy with less meridional transport. The NAM tends to be positive, and the Siberian high and the EAWM tend to be weaker than normal. Thus the extreme weather/climate events for high solar activity occur in different regions with different severity from those for low solar activity. The solar influence on the mid- to high-latitude surface temperature and circulations can stand out after removing the influence from the E1 Nifio-Southern Oscillation. The atmospheric amplifying mechanism indicates that the solar impacts on climate should not be simply estimated by the magnitude of the change in the solar radiation over solar cycles when it is compared with other external radiative forcings that do not influence the climate in the same way as the sun does.
基金provided by the LASG State Key Laboratory Special Fund for this research project
文摘Part II of this study detects the dominant decadal-centennial timescales in four SST indices up to the 2010/2011 winter and tries to relate them to the observed 11-yr and 88-yr solar activity with the sunspot number up to Solar Cycle 24. To explore plausible solar origins of the observed decadal-centennial timescales in the SSTs and climate variability in general, we design a simple one-dimensional dynamical system forced by an annual cycle modulated by a small-amplitude single- or multi-scale ＂solar activity.＂ Results suggest that nonlinear harmonic and subharmonic resonance of the system to the forcing and period-doubling bifurcations are responsible for the dominant timescales in the system, including the 60-yr timescale that dominates the Atlantic Multidecadal Oscillation. The dominant timescales in the forced system depend on the system＇s parameter setting. Scale enhancement among the dominant response timescales may result in dramatic amplifications over a few decades and extreme values of the time series on various timescales. Three possible energy sources for such amplifications and extremes are proposed. Dynamical model results suggest that solar activity may play an important yet not well recognized role in the observed decadal-centennial climate variability. The atmospheric dynamical amplifying mechanism shown in Part I and the nonlinear resonant and bifurcation mechanisms shown in Part II help us to understand the solar source of the multi-scale climate change in the 20th century and the fact that different solar influenced dominant timescales for recurrent climate extremes for a given region or a parameter setting. Part II also indicates that solar influences on climate cannot be linearly compared with non-cyclic or sporadic thermal forcings because they cannot exert their influences on climate in the same way as the sun does.
文摘We apply Singular Spectrum Analysis to four datasets of observed global-mean near-surface temperature from start year to through 2012: HadCRU (to = 1850), NOAA (to = 1880), NASA (to = 1880), and JMA (to = 1891). For each dataset, SSA reveals a trend of increasing temperature and several quasi-periodic oscillations (QPOs). QPOs 1, 2 and 3 are predictable on a year-by-year basis by sine waves with periods/amplitudes of: 1) 62.4 years/0.11°C;2) 20.1 to 21.4 years/0.04°C to 0.05°C;and 3) 9.1 to 9.2 years/0.03°C to 0.04°C. The remainder of the natur°l variability is not predictable on a year-by-year basis. We represent this noise by its 90 percent confidence interval. We combine the predictable and unpredictable natural variability with the temperature changes caused by the 11-year solar cycle and humanity, the latter for both the Reference and Revised-Fair-Plan scenarios for future emissions of greenhouse gases. The resulting temperature departures show that we have moved from the first phase of learning—Ignorance—through the second phase—Uncertainty—and are now entering the third phase—Resolution—when the human-caused signal is much larger than the natural variability. Accordingly, it is now time to transition to the post-fossil-fuel age by phasing out fossil-fuel emissions from 2020 through 2100.
基金funded by the National Natural Science Foundation of China(32372546)Shenzhen Science and Technology Program(KQTD20180411143628272)+1 种基金the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences and STI 2030-Major Projects(2022ZD04021)the National Key Research and Development Program of China(2023YFD2200700)。
文摘Agricultural pests cause enormous losses in annual agricultural production.Understanding the evolutionary responses and adaptive capacity of agricultural pests under climate change is crucial for establishing sustainable and environmentally friendly agricultural pest management.In this study,we integrate climate modeling and landscape genomics to investigate the distributional dynamics of the cotton bollworm(Helicoverpa armigera)in the adaptation to local environments and resilience to future climate change.Notably,the predicted inhabitable areas with higher suitability for the cotton bollworm could be eight times larger in the coming decades.Climate change is one of the factors driving the dynamics of distribution and population differentiation of the cotton bollworm.Approximately 19,000 years ago,the cotton bollworm expanded from its ancestral African population,followed by gradual occupations of the European,Asian,Oceanian,and American continents.Furthermore,we identify seven subpopulations with high dispersal and adaptability which may have an increased risk of invasion potential.Additionally,a large number of candidate genes and SNPs linked to climatic adaptation were mapped.These findings could inform sustainable pest management strategies in the face of climate change,aiding future pest forecasting and management planning.
基金supported by the funding Riset Unggulan Daerah 2022 of the Bureau of Development Planning and Research in Central Java Province(BAPPEDA Provinsi Jawa Tengah).
文摘Located downstream the Kupang Catchment in Indonesia,Pekalongan faces significant land subsidence issues,leading to severe coastal flooding.This study aimed to assess the impact of climate change on future flow regimes and hydrological extremes to inform long-term water resources management strategies for the Kupang Catchment.Utilizing precipitation and air temperature data from general circulation models in the Coupled Model Intercomparison Project 6(CMIP6)and employing bias correction techniques,the Soil and Water Assessment Tool(SWAT)hydrological model was employed to analyze climate-induced changes in hydrological fluxes,specifically streamflow.Results indicated a consistent increase in monthly streamflow during the wet season,with a substantial rise of 22.8%,alongside a slight decrease of 18.0%during the dry season.Moreover,both the frequency and severity of extremely low and high flows were projected to intensify by approximately 50%and 70%,respectively,for a 20-year return period,suggesting heightened flood and drought risks in the future.The observed declining trend in low flow,by up to 11%,indicated the potential for long-term groundwater depletion exacerbating the threat of land subsidence and coastal flooding,especially in areas with inadequate surface water management policies and infrastructure.
基金supported by the Science and Technology Program of Xinjiang Construction Corps(No.2024AB064)the National Natural Science Foundation of China(Nos.41975044,42001314)。
文摘Climate change is significantly impacting cotton production in the Tarim River Basin.The study investigated the climate change characteristics from 2021 to 2100 using climate change datasets simulated per the coupled model inter-comparison project phase six(CMIP6)climatic patterns under the shared socioeconomic pathways SSP2-4.5 and SSP5-8.5.The DSSAT-CROPGROCotton model,along with stepwise multiple regression analyses,was used to simulate changes in the potential yield of seed cotton due to climate change.The results show that while future temperatures in the Tarim River Basin will rise significantly,changes in precipitation and radiation during the cotton-growing season are minimal.Seed cotton yields are more sensitive to low temperatures than to precipitation and radiation.The potential yield of seed cotton under the SSP2-4.5 scenario would increase by 14.8%,23.7%,29.0%,and 29.4%in the 2030S,2050S,2070S,and 2090S,respectively.In contrast,under the SSP5-8.5 scenario,the potential yield of seed cotton would see increases of 17.5%,27.1%,30.1%,and 22.6%,respectively.Except for the 2090s under the SSP5-8.5 scenario,future seed cotton production can withstand a 10%to 20%deficit in irrigation.These findings will help develop climate change adaptation strategies for cotton cultivation.
基金jointly supported by the National Natural Science Foundation of China (Grant Nos.42422502 and 42275038)the China Meteorological Administration Climate Change Special Program (Grant No.QBZ202306)funded by the Met Office Climate Science for Service Partnership (CSSP) China project under the International Science Partnerships Fund (ISPF)。
文摘This past year, 2024, is on track to be the warmest year, joining 2023 as the two hottest years on record. With the exceptional heat, weather and climate extremes were common across the world. In particular, 2024 has seen a remarkable run of extreme precipitation events and resulting impacts. Here, we provide an overview of the most notable extreme events of the year, including extreme precipitation and floods, tropical cyclones, and droughts. The characteristics and impacts of these extreme events are summarized, followed by discussion on the physical drivers and the role of global warming.Finally, we also discuss the future prospects in extreme event studies, including impact-based perspectives, challenges in attribution of precipitation extremes, and the existing gap to minimize impacts from climate extremes.
基金supported by the National Natural Science Foundation of China(No.82025030,No.72394404)the National Key Research and Development Program of China(No.2022YFC3702700)the National Research Program for Key Issues in Air Pollution Control of China(No.DQGG0401).
文摘As global greenhouse gases continue rising,the urgency of more ambitious action is clearer than ever before.China is the world’s biggest emitter of greenhouse gases and one of the countries affected most by climate change.The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts.
基金supported by the National Natural Science Foundation of China(Grant Nos.42150204 and 2288101)supported by the China National Postdoctoral Program for Innovative Talents(BX20230045)the China Postdoctoral Science Foundation(2023M730279)。
文摘A nonlinear multi-scale interaction(NMI)model was proposed and developed by the first author for nearly 30 years to represent the evolution of atmospheric blocking.In this review paper,we first review the creation and development of the NMI model and then emphasize that the NMI model represents a new tool for identifying the basic physics of how climate change influences mid-to-high latitude weather extremes.The building of the NMI model took place over three main periods.In the 1990s,a nonlinear Schr?dinger(NLS)equation model was presented to describe atmospheric blocking as a wave packet;however,it could not depict the lifetime(10-20 days)of atmospheric blocking.In the 2000s,we proposed an NMI model of atmospheric blocking in a uniform basic flow by making a scale-separation assumption and deriving an eddyforced NLS equation.This model succeeded in describing the life cycle of atmospheric blocking.In the 2020s,the NMI model was extended to include the impact of a changing climate mainly by altering the basic zonal winds and the magnitude of the meridional background potential vorticity gradient(PVy).Model results show that when PVy is smaller,blocking has a weaker dispersion and a stronger nonlinearity,so blocking can be more persistent and have a larger zonal scale and weaker eastward movement,thus favoring stronger weather extremes.However,when PVy is much smaller and below a critical threshold under much stronger winter Arctic warming of global warming,atmospheric blocking becomes locally less persistent and shows a much stronger westward movement,which acts to inhibit local cold extremes.Such a case does not happen in summer under global warming because PVy fails to fall below the critical threshold.Thus,our theory indicates that global warming can render summer-blocking anticyclones and mid-to-high latitude heatwaves more persistent,intense,and widespread.
文摘The G20 Youth Summit(Y20)took place in Johannesburg,South Africa,from 18 to 23 August.Sun Ruoshui,a research assistant from the Institute of Climate Change and Sustainable Development,Tsinghua University,was appointed by the All-China Youth Federation to represent China in the discussions on Climate and Environmental Sustainability.Specialising in global climate governance,international climate negotiation and climate policy,Sun has previously served as a member of the Chinese delegation to the 2023 United Nations Climate Change Conference(COP28)and 2024 Bonn Subsidiary Bodies Meeting.
文摘We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other countries will require the rapid construction of communities capable of supporting them, their families, businesses and farms. However, different political-economic conditions are found across the areas which can serve as locations for these Climate Change Haven Communities. We develop funding and construction strategies for the United States (free-market capitalism), France and Spain (European Union supported economies), and Taiwan region (state-directed economy). The proposals for the Taiwan region should also be applicable to the rest of China.
文摘To address climate change and highlight its global nature,the United Nations Framework Convention on Climate Change(UNFCCC)was adopted for the first time in history within the UN framework on May 9,1992,clearly establishing the obligations of developed countries to take the lead in emission reduction and provide financial,technological,and capacity-building support to developing countries.Particularly since the 2015 Paris Agreement,successive UN climate conferences have placed high emphasis on financial and technological matters,with financial arrangements demonstrating an increasingly specific trend in recent years.The Glasgow Climate Pact adopted in 2021 urges developed country Parties to deliver on their commitment to the goal of providing USD 100 billion to developing country prties,while also urging developed country parties to at least double their provision of climate finance to developing country parties by 2025 compared to 2019 levels.
文摘The Arctic and Antarctica are important components of the Earth system,and the snow and ice over the polar regions make the interactions between the spheres there extremely sensitive to climate change,with an amplifying effect on climate warming.Polar regions are the forefront of global climate and ecosystem changes.More than half of the identified climate tipping elements in our planet occur in the polar regions,with the losses of Arctic sea ice,Greenland ice sheet,permafrost,and western Antarctic ice sheet,being considered as tipping elements with global impacts that have already occurred(McKay et al.,2022).These changes in the polar regions affect the heat and material transfer,water and carbon cycles,as well as biological diversity at a global scale,closely related to global sustainable development.Therefore,polar regions are also considered the limiting factors in achieving the United Nations Sustainable Development Goals(Li et al.,2025).
文摘The accelerated pace of natural and human-driven climate change presents profound challenges for Earth's systems.Oceans and ice sheets are critical regulators of climate systems,functioning as carbon sinks and thermal reservoirs.However,they are increasingly vulnerable to warming and greenhouse gas emissions.
基金funded the Ecuadorian National Secretary of Higher Education,Science and Technology(SENESCYT),through the Scholarship Programme 2012.
文摘Climate change has well-documented psychological consequences for society.However,the emotional experiences of frontline conservation professionals remain underexplored.As key knowledge producers and participants in decision-making processes,conservation researchers play a crucial role in shaping and implementing adaptation and mitigation efforts,which are pivotal for effective climate planning.Understanding their emotional responses is essential for enhancing the success of these strategies and supporting climate action.This study aims to identify the most prevalent emotions experienced by conservation researchers regarding climate change across various countries and to examine the qualitative and quantitative factors shaping these emotions.An online survey was conducted with 362 participants from 98 academic and research institutions,utilising both closed and open-ended questions to capture demographic data,climate knowledge,stances on mitigation and adaptation,and emotional responses.Data analysis revealed that feelings of powerlessness,guilt,and concern were most frequently reported,driven by a profound sense of inability to halt climate change,frustration with perceived inaction by governments and industries,and self-assessed personal shortcomings.Age and stances on climate adaptation were identified as primary factors influencing emotional responses,particularly among individuals aged 20–50 and 61–70,with opposition to adaptation correlating with stronger emotional reactions.Demographic factors such as region,place of residence,and mitigation stances played a minor role.These findings provide valuable insights into the psychological well-being of conservation researchers related to climate change.
基金supported by the Outstanding Action Plan of Chinese Sci-tech Journals(Grant No.OAP-C-077).
文摘Forests play a critical role in mitigating cli-mate change by sequestering carbon,yet their responses to environmental shifts remain complex and multifaceted.This special issue,“Tree Rings,Forest Carbon Sink,and Climate Change,”compiles 41 interdisciplinary studies exploring forest-climate interactions through dendrochro-nological and ecological approaches.It addresses climate reconstruction(e.g.,temperature,precipitation,isotopes)using tree-ring proxies,species-specific and age-dependent growth responses to warming and drought,anatomical adap-tations,and methodological innovations in isotope analysis and multi-proxy integration.Key findings reveal ENSO/AMO modulation of historical climates,elevation-and latitude-driven variability in tree resilience,contrasting carbon dynamics under stress,and projected habitat shifts for vulnerable species.The issue underscores forests’dual role as climate archives and carbon regulators,offering insights for adaptive management and nature-based climate solutions.Contributions bridge micro-scale physiological processes to macro-scale ecological modeling,advancing sustainable strategies amid global environmental challenges.
基金financially supported by the National Key R&D Program of China(Grants No.2022YFC3802604,2022YFF1303102)the Global Engagement for Strategic Partnership project of Nanjing University.
文摘Given the reality of climate-driven migration,the net effectiveness of existing spatially fixed protected areas(PAs)to biodiversity conservation is expected to decline,while the potential of non-PA habitats(non-PAs,i.e.,natural,altered,or artificial ecosystems that are not formally designated as PAs)for biodiversity conservation is gaining attention.However,the contribution of non-PAs to biodiversity conservation remains poorly understood.With the aim of comprehensively assessing the effectiveness of non-PAs as transient refugia and steppingstones during future climate-change-induced migration of species in China,a six-metric integrated framework was applied and statistics of these metrics for PAs and non-PAs are compared.Results reveal that,a greater area of non-PAs has a low velocity of climate change(VoCC)compared to that of PAs,and can therefore serve as temporary refugia for species.The disappearing climate index(DCI)and novel climate index(NCI)results show that some 17%of the subdivided climate classes within the PAs have changed.However,the displacement index(DI)results imply that nearly half(48.98%)of the PAs need non-PAs to provide transient refugia for climate-driven migration of species in PAs.The higher ratio of effective steppingstones measured using the climate corridor score(CCS)and landscape current flow(LCF)further emphasizes that non-PAs play a more significant role as steppingstones for climate driven migration than do PAs in terms of both their structural and functional connectivity.Our research further demonstrates that a conservation approach that improves connectivity among PAs and considers Other Effective area-based Conservation Measures(OECMs)is essential for long-term biodiversity adaptation to climate change.
基金supported by the National Natural Science Foundation of China(Grant No.U2342208)support from NSF/Climate Dynamics Award#2025057。
文摘Predicting monsoon climate is one of the major endeavors in climate science and is becoming increasingly challenging due to global warming. The accuracy of monsoon seasonal predictions significantly impacts the lives of billions who depend on or are affected by monsoons, as it is essential for the water cycle, food security, ecology, disaster prevention, and the economy of monsoon regions. Given the extensive literature on Asian monsoon climate prediction, we limit our focus to reviewing the seasonal prediction and predictability of the Asian Summer Monsoon (ASM). However, much of this review is also relevant to monsoon predictions in other seasons and regions. Over the past two decades, considerable progress has been made in the seasonal forecasting of the ASM, driven by an enhanced understanding of the sources of predictability and the dynamics of seasonal variability, along with advanced development in sophisticated models and technologies. This review centers on advances in understanding the physical foundation for monsoon climate prediction (section 2), significant findings and insights into the primary and regional sources of predictability arising from feedback processes among various climate components (sections 3 and 4), the effects of global warming and external forcings on predictability (section 5), developments in seasonal prediction models and techniques (section 6), the challenges and limitations of monsoon climate prediction (section 7), and emerging research trends with suggestions for future directions (section 8). We hope this review will stimulate creative activities to enhance monsoon climate prediction.
文摘Extreme temperature events have intensified across Jordan over the past 40 a,increasing risks to agriculture,water availability,urban infrastructure,and public health.The purpose of this study is to assess the long-term spatial trends and regime shifts in extreme temperature indicators across Jordan's climate zones to explore climate adaptation strategies.This study presents a high-resolution and spatially explicit assessment of thermal extremes using daily data from 1982 to 2024 across 45 grid-based study points in Jordan.Thirteen temperature indices,including percentile-based thresholds,duration metrics,and absolute extremes,were computed using RClimDex and analyzed across four Köppen climate zones:hot desert(BWh),hot semi-arid(BSh),cold desert(BWk),and Mediterranean(Csa)climates.The analysis confirmed a statistically significant warming trend:annual mean maximum temperatures increased by 2.198°C,while annual mean minimum temperatures rose by 2.035°C.Cold extremes have sharply declined,with cold days(TX10p)decreasing by 70.0%–80.0%,and the cold spell duration indicator(CSDI)dropping from 12.6 to 4.0 d/a,particularly in the BWk zone.Heat indices intensified across all zones,with warm days(TX90p)increasing by over 300.0%in BWh,warm nights(TN90p)rising by 38.1%,and the warm spell duration indicator(WSDI)extending fourfold,indicating prolonged exposure to heatwaves.Mean value of maximum temperature(TXx)reached 45.600°C in most arid areas,while minimum temperature(TNx)exceeded 31.600°C,highlighting increased nocturnal heat stress.Change-point analysis indicated that 1998 was a pivotal year,marking a structural transition in both cold and warm temperature indices.Subsequent intensifications after 2010 in TN90p,TNx,and mean of daily maximum temperature(Tmaxmean)reflected an ongoing trend toward sustained thermal extremes.In addition to time-series trends,the study employed network-based correlation analysis to explore the coherence among climate indices.Strong positive correlations were observed among TXx,TX90p,and mean of daily minimum temperature(Tminmean)(r≥0.94),as well as among TN90p,Tminmean,and TNx(r≥0.87),indicating a tightly clustered heat subsystem.Duration metrics like the WSDI showed a close alignment with percentile extremes(between WSDI and TX90p;r=0.88),suggesting integrated heatwave behavior.In contrast,cold indices(TX10p,TN90p,frost days,and CSDI)exhibited weak or negative correlations and displayed peripheral positioning in the climate network,indicating their limited role under a warming regime.Absolute extremes showed weak internal linkages,suggesting episodic rather than systemic response characteristics.This structural realignment indicated a shift from a previously balanced thermal profile to a heat-dominated climate system.Regional variations revealed that BWh and BSh were experiencing the steepest warming,while Csa was transitioning more slowly but was showing signs of reduced winter cooling and increased irrigation demands.The findings establish a robust climate baseline for Jordan and offer actionable insights for climate adaptation planning.Recommended measures include precision irrigation,the development of heat-resilient crops,improvements to urban cooling infrastructure,and early warning systems for thermal extremes.By integrating spatial climate zoning,regime shift analysis,and inter-index correlation structures,this study provides a replicable framework for monitoring climatic transformations and informing resilience strategies in arid and semi-arid areas.
基金This study was supported by the National Natural Science Foundation of China(Grant No.U2342228)the National Key Program for Developing Basic Sciences(Grant No.2020YFA0608902)+1 种基金the National Natural Science Foundation of China(Grant Nos.92358302,and 42242018)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB0500303).
文摘In recent decades,large ensemble simulation(LENS)or super-large ensemble simulation(SLENS)experiments with climate models,including the simulation of both the historical and future climate,have been increasingly exploited in the fields of climate change,climate variability,climate projection,and beyond.This paper provides an overview of LENS in climate systems.It delves into its definition,initialization,significance,and scientific concerns.Additionally,its development history and relevant theories,methods,and primary fields of application are also reviewed.Conclusions obtained from single-model LENS can be more robust compared with those from ensemble simulations with smaller numbers of members.The interactions among model biases,forced responses,and internal variabilities,which serve as the added value in LENS,are highlighted.Finally,we put forward the future trajectory of LENS with climate or Earth system models(ESMs).Super-large ensemble simulation,high-resolution LENS,LENS employing ESMs,and combining LENS with artificial intelligence,will greatly promote the study of climate and related applications.
