相关论文
2012
The climatic cyclicity in semiarid‐arid central Asia over the past 500,000 years

Central Asia is currently a semiarid‐arid region, dominated by the Westerlies. It is important to understand mechanisms of climate and precipitation changes here, as water availability in the region is crucial today and in the future. High‐resolution, absolutely‐dated oxygen isotope (δ18O) records of stalagmites from Kesang Cave characterize a dynamic precipitation history over most of the past 500,000 years. This record demonstrates, for the first time, that climate change in the region exhibits a processional rhythm with abrupt inceptions of low δ18O speleothem growth at times of high Northern Hemisphere summer insolation followed by gradual δ18O increases that track decreases of insolation. These observations and interpretations contrast with the interpretation of nearby, but higher elevation ice core records. The absolutely‐dated caveδ18O shifts can be used to correlate the regional climate variability by providing chronological marks. Combined with other paleoclimate records, the Kesang observations suggest that possible incursions of Asian summer monsoon rainfall or related moisture into the Kesang site and/or adjacent areas during the high insolation times may play an important role in changing orbital‐scale hydrology of the region. Based on our record, arid climate will prevail in this region for the next several millennia, providing that anthropogenic effects do not supersede natural processes.

2003
Social aspects of adaptive capacity

This paper outlines the nature of the relationship between climate change risks and social and institutional constraints on adaptation. Although the capacity of individuals to adapt to climate change is a function of their access to resources, the adaptive capacity of societies depends on the ability to act collectively in the face of the threats posed by climate variability and change. Thus adaptive capacity, as an element of overall vulnerability of a society, can be illuminated through examining the institutions for resource management and their effectiveness, efficiency and legitimacy. I argue that the social capital constitutes social aspects of adaptive capacity. Social capital is made up of the networks and relationships between individuals and social groups that facilitate economic well-being and security. Indeed I demonstrate that social capital is an important element for coping with climate variability and hazard in the present day. The paper concludes with challenges for research to bring social aspects such as legitimacy and equity to the heart of the analysis of adaptation.

1998 - Atmospheric Environment
Global methane emission from wetlands and its sensitivity to climate change

Abstract The concentration of atmospheric methane (CH4) exerts a strong influence on atmospheric chemistry and the global climate. Natural and cultivated wetlands (rice paddies) are important sources of CH4, and the extent and strength of these sources may increase as a result of global warming and extension of rice production. Emission of methane from wetlands is an ecosystem process, closely coupled to local climatic and soil environments which influence complex processes of plant growth, soil organic matter decomposition, methanogenesis and CH4 oxidation. Rates of emission show large variation in both space and time and their estimation from point measurements or from correlation with net primary production is difficult and unreliable. Here we report a study in which process-based ecosystem models were used to estimate global CH4 emissions from natural wetlands and rice paddies, and the sensitivity of the models to simple climate change scenarios were tested. Our estimate of global emission was 145 Tg yr-1, of which 92 Tg yr-1 came from natural wetlands and 53 Tg yr-1 from rice paddies. The emissions from wetlands at high-latitude and rice paddies were only half of those reported in the traditional literature, confirming more recent measurements. The models also showed that modest global warming may produce a higher CH4 emission, but that this effect may be reversed by larger increases in temperature, due to the effect of soil moisture depletion.

2002 - Climatic Change
Climate Change and Rice Yields in Diverse Agro-Environments of India. II. Effect of Uncertainties in Scenarios and Crop Models on Impact Assessment

Estimates of impact of climate change on crop production could be biased depending upon the uncertainties in climate change scenarios, region of study, crop models used for impact assessment and the level of management. This study reports the results of a study where the impact of various climate change scenarios has been assessed on grain yields of irrigated rice with two popular crop simulation models- Ceres-Rice and ORYZA1N at different levels of N management. The results showed that the direct effect of climate change on rice crops in different agroclimatic regions in India would always be positive irrespective of the various uncertainties. Rice yields increased between 1.0 and 16.8% in pessimistic scenarios of climate change depending upon the level of management and model used. These increases were between 3.5 and 33.8% in optimistic scenarios. At current as well as improved level of management, southern and western parts of India which currently have relatively lower temperatures compared to northern and eastern regions, are likely to show greater sensitivity in rice yields under climate change. The response to climate change is small at low N management compared to optimal management. The magnitude of this impact can be biased upto 32% depending on the uncertainty in climate change scenario, level of management and crop model used. These conclusions are highly dependent on the specific thresholds of phenology and photosynthesis to change in temperature used in the models. Caution is needed in using the impact assessment results made with the average simulated grain yields and mean changes in climatic parameters.

2005 - Climate Dynamics
El Niño- or La Niña-like climate change?

The potential for the mean climate of the tropical Pacific to shift to more El Niño-like conditions as a result of human induced climate change is subject to a considerable degree of uncertainty. The complexity of the feedback processes, the wide range of responses of different atmosphere–ocean global circulation models (AOGCMs) and difficulties with model simulation of present day El Niño southern oscillation (ENSO), all complicate the picture. By examining the components of the climate-change response that projects onto the model pattern of ENSO variability in 20 AOGCMs submitted to the coupled model inter-comparison project (CMIP), it is shown that large-scale coupled atmosphere–ocean feedbacks associated with the present day ENSO also operate on longer climate-change time scales. By linking the realism of the simulation of present day ENSO variability in the models to their patterns of future mean El Niño-like or La Niña-like climate change, it is found that those models that have the largest ENSO-like climate change also have the poorest simulation of ENSO variability. The most likely scenario (p=0.59) in a model-skill-weighted histogram of CMIP models is for no trend towards either mean El Niño-like or La Niña-like conditions. However, there remains a small probability (p=0.16) for a change to El Niño-like conditions of the order of one standard El Niño per century in the 1% per year CO2 increase scenario.

2011 - Biological Reviews
Challenging claims in the study of migratory birds and climate change

Recent shifts in phenology in response to climate change are well established but often poorly understood. Many animals integrate climate change across a spatially and temporally dispersed annual life cycle, and effects are modulated by ecological interactions, evolutionary change and endogenous control mechanisms. Here we assess and discuss key statements emerging from the rapidly developing study of changing spring phenology in migratory birds. These well‐studied organisms have been instrumental for understanding climate‐change effects, but research is developing rapidly and there is a need to attack the big issues rather than risking affirmative science. Although we agree poorly on the support for most claims, agreement regarding the knowledge basis enables consensus regarding broad patterns and likely causes. Empirical data needed for disentangling mechanisms are still scarce, and consequences at a population level and on community composition remain unclear. With increasing knowledge, the overall support (‘consensus view’) for a claim increased and between‐researcher variability in support (‘expert opinions') decreased, indicating the importance of assessing and communicating the knowledge basis. A proper integration across biological disciplines seems essential for the field's transition from affirming patterns to understanding mechanisms and making robust predictions regarding future consequences of shifting phenologies.

2008 - American journal of preventive medicine
Climate change, air quality, and human health.

Weather and climate play important roles in determining patterns of air quality over multiple scales in time and space, owing to the fact that emissions, transport, dilution, chemical transformation, and eventual deposition of air pollutants all can be influenced by meteorologic variables such as temperature, humidity, wind speed and direction, and mixing height. There is growing recognition that development of optimal control strategies for key pollutants like ozone and fine particles now requires assessment of potential future climate conditions and their influence on the attainment of air quality objectives. In addition, other air contaminants of relevance to human health, including smoke from wildfires and airborne pollens and molds, may be influenced by climate change. In this study, the focus is on the ways in which health-relevant measures of air quality, including ozone, particulate matter, and aeroallergens, may be affected by climate variability and change. The small but growing literature focusing on climate impacts on air quality, how these influences may play out in future decades, and the implications for human health is reviewed. Based on the observed and anticipated impacts, adaptation strategies and research needs are discussed.

2010
POLICY ARENA DISASTER RISK REDUCTION OR CLIMATE CHANGE ADAPTATION: ARE WE REINVENTING THE WHEEL?

Disaster risk reduction (DRR) policies and strategies are well established within the international development community, being utilised at the grassroots level to address all forms of hazards. An exacerbation and increase in meteorological hazards has in part been attributed to climate change. Climate change also contributes to noticeable seasonal fluctu- ations that severely affect natural resource based livelihoods. In response, a need in devel- opment policy has been identifiedto address climate change at the community levelby helping those most affected through 'climate change adaptation' (CCA) strategies. This paper explores the differences—or, rather, the similarities—between DRR and CCA through analysing climate-related DRR in Papua New Guinea (PNG) within the context of wider development policies.Ways forwardareidentifiedforinternationaldevelopmentpolicysupportingallforms of risk reduction through integrating DRR and CCA strategies. Copyright # 2010 John Wiley & Sons, Ltd.

2009 - Psychological Science
Improving Communication of Uncertainty in the Reports of the Intergovernmental Panel on Climate Change

The Intergovernmental Panel on Climate Change (IPCC) assesses information relevant to the understanding of climate change and explores options for adaptation and mitigation. The IPCC reports communicate uncertainty by using a set of probability terms accompanied by global interpretational guidelines. The judgment literature indicates that there are large differences in the way people understand such phrases, and that their use may lead to confusion and errors in communication. We conducted an experiment in which subjects read sentences from the 2007 IPCC report and assigned numerical values to the probability terms. The respondents' judgments deviated significantly from the IPCC guidelines, even when the respondents had access to these guidelines. These results suggest that the method used by the IPCC is likely to convey levels of imprecision that are too high. We propose an alternative form of communicating uncertainty, illustrate its effectiveness, and suggest several additional ways to improve the communication of uncertainty.

2001 - Global Biogeochemical Cycles
Global warming feedbacks on terrestrial carbon uptake under the Intergovernmental Panel on Climate Change (IPCC) Emission Scenarios

A coupled physical-biogeochemical climate model that includes a dynamic global vegetation model and a representation of a coupled atmosphere-ocean general circulation model is driven by the nonintervention emission scenarios recently developed by the Intergovernmental Panel on Climate Change (IPCC). Atmospheric CO2, carbon sinks, radiative forcing by greenhouse gases (GHGs) and aerosols, changes in the fields of surface-air temperature, precipitation, cloud cover, ocean thermal expansion, and vegetation structure are projected. Up to 2100, atmospheric CO2 increases to 540 ppm for the lowest and to 960 ppm for the highest emission scenario analyzed. Sensitivity analyses suggest an uncertainty in these projections of � 10 to +30% for a given emission scenario. Radiative forcing is estimated to increase between 3 and 8 W m -2 between now and 2100. Simulated warmer conditions in North America and Eurasia affect ecosystem structure: boreal trees expand poleward in high latitudes and are partly replaced by temperate trees and grasses at lower latitudes. The consequences for terrestrial carbon storage depend on the assumed sensitivity of climate to radiative forcing, the sensitivity of soil respiration to temperature, and the rate of increase in radiative forcing by both CO2 and other GHGs. In the most extreme cases, the terrestrial biosphere becomes a source of carbon during the second half of the century. High GHG emissions and high contributions of non-CO2 agents to radiative forcing favor a transient terrestrial carbon source by enhancing warming and the associated release of soil carbon.

2008
Climate Change and Africa

The impact of climate change on Africa is likely to be severe because of adverse direct effects, high agricultural dependence, and limited capacity to adapt. Direct effects vary widely across the continent, with some areas (e.g. eastern Africa) predicted to get wetter, but much of southern Africa getting drier and hotter. Crop yields will be adversely affected and the frequency of extreme weather events will increase. Adaptation to climate change is primarily a private-sector response and should involve relocation of people, changes in the sectoral structure of production, and changes in crop patterns. The role of government is primarily to provide the information, incentives, and economic environment to facilitate such changes. Adaptation will be impeded by Africa's fragmentation into small countries and ethnic groups, and by poor business environments. On the mitigation side, there is a need to design emissions-trading frameworks that support greater African participation than at present, and that include land-use change. Mitigation undertaken elsewhere will have a major impact on Africa, both positive (e.g. new technologies) and negative (e.g. commodity price changes arising from biofuel policies).

2003 - Proceedings of the Royal Society of London. Series B: Biological Sciences
Climate change in Australian tropical rainforests: an impending environmental catastrophe

It is now widely accepted that global climate change is affecting many ecosystems around the globe and that its impact is increasing rapidly. Many studies predict that impacts will consist largely of shifts in latitudinal and altitudinal distributions. However, we demonstrate that the impacts of global climate change in the tropical rainforests of northeastern Australia have the potential to result in many extinctions. We develop bioclimatic models of spatial distribution for the regionally endemic rainforest vertebrates and use these models to predict the effects of climate warming on species distributions. Increasing temperature is predicted to result in significant reduction or complete loss of the core environment of all regionally endemic vertebrates. Extinction rates caused by the complete loss of core environments are likely to be severe, nonlinear, with losses increasing rapidly beyond an increase of 2°C, and compounded by other climate–related impacts. Mountain ecosystems around the world, such as the Australian Wet Tropics bioregion, are very diverse, often with high levels of restricted endemism, and are therefore important areas of biodiversity. The results presented here suggest that these systems are severely threatened by climate change.

2008 - Journal of Applied Ecology
Climate change and deepening of the North Sea fish assemblage: a biotic indicator of warming seas

Summary 1. Climate change impacts have been observed on individual species and species subsets; however, it remains to be seen whether there are systematic, coherent assemblage-wide responses to climate change that could be used as a representative indicator of changing biological state. 2. European shelf seas are warming faster than the adjacent land masses and faster than the global average. We explore the year-by-year distributional response of North Sea bottom-dwelling (demersal) fishes to temperature change over the 25 years from 1980 to 2004. The centres of latitudinal and depth distributions of 28 fishes were estimated from species-abundance‐location data collected on an annual fish monitoring survey. 3. Individual species responses were aggregated into 19 assemblages reflecting physiology (thermal preference and range), ecology (body size and abundance-occupancy patterns), biogeography (northern, southern and presence of range boundaries), and susceptibility to human impact (fishery target, bycatch and non-target species). 4. North Sea winter bottom temperature has increased by 1·6 ° C over 25 years, with a 1 ° C increase in 1988‐1989 alone. During this period, the whole demersal fish assemblage deepened by ~3·6 m decade ‐1 and the deepening was coherent for most assemblages. 5. The latitudinal response to warming was heterogeneous, and reflects (i) a northward shift in the mean latitude of abundant, widespread thermal specialists, and (ii) the southward shift of relatively small, abundant southerly species with limited occupancy and a northern range boundary in the North Sea. 6. Synthesis and applications. The deepening of North Sea bottom-dwelling fishes in response to climate change is the marine analogue of the upward movement of terrestrial species to higher altitudes. The assemblage-level depth responses, and both latitudinal responses, covary with temperature and environmental variability in a manner diagnostic of a climate change impact. The deepening of the demersal fish assemblage in response to temperature could be used as a biotic indicator of the effects of climate change in the North Sea and other semi-enclosed seas.

2009 - PloS one
Global Pyrogeography: the Current and Future Distribution of Wildfire

Climate change is expected to alter the geographic distribution of wildfire, a complex abiotic process that responds to a variety of spatial and environmental gradients. How future climate change may alter global wildfire activity, however, is still largely unknown. As a first step to quantifying potential change in global wildfire, we present a multivariate quantification of environmental drivers for the observed, current distribution of vegetation fires using statistical models of the relationship between fire activity and resources to burn, climate conditions, human influence, and lightning flash rates at a coarse spatiotemporal resolution (100 km, over one decade). We then demonstrate how these statistical models can be used to project future changes in global fire patterns, highlighting regional hotspots of change in fire probabilities under future climate conditions as simulated by a global climate model. Based on current conditions, our results illustrate how the availability of resources to burn and climate conditions conducive to combustion jointly determine why some parts of the world are fire-prone and others are fire-free. In contrast to any expectation that global warming should necessarily result in more fire, we find that regional increases in fire probabilities may be counter-balanced by decreases at other locations, due to the interplay of temperature and precipitation variables. Despite this net balance, our models predict substantial invasion and retreat of fire across large portions of the globe. These changes could have important effects on terrestrial ecosystems since alteration in fire activity may occur quite rapidly, generating ever more complex environmental challenges for species dispersing and adjusting to new climate conditions. Our findings highlight the potential for widespread impacts of climate change on wildfire, suggesting severely altered fire regimes and the need for more explicit inclusion of fire in research on global vegetation-climate change dynamics and conservation planning.

1991 - Journal of Climate
Amazonian Deforestation and Regional Climate Change

Abstract Large-scale conversion of tropical forests into pastures or annual crops could lead to changes in the climate. We have used a coupled numerical model of the global atmosphere and biosphere (Center for Ocean-Land- Atmosphere GCM) to assess the effects of Amazonian deforestation on the regional and global climate. We found that when the Amazonian tropical forests were replaced by degraded grass (pasture) in the model, there was a significant increase in the mean surface temperature (about 2.5°C) and a decrease in the annual evapo-transpiration (30% reduction), precipitation (25% reduction), and runoff (20% reduction) in the region. The differences between the two simulations were greatest during the dry season. The deforested case was associated with larger diurnal fluctuations of surface temperature and vapor pressure deficit; such effects have been observed in existing deforested arms in Amazonia. The calculated reduction in precipitation was larger than the calculated decrease in evapotranspirat...

2008 - Environ. Model. Softw.
Automated regression-based statistical downscaling tool

Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both dynamical (i.e. Regional Climate Model) and statistical methods, have been developed to obtain fine resolution climate change scenarios. In this study, an automated statistical downscaling (ASD) regression-based approach inspired by the SDSM method (statistical downscaling model) developed by Wilby, R.L., Dawson, C.W., Barrow, E.M. [2002. SDSM - a decision support tool for the assessment of regional climate change impacts, Environmental Modelling and Software 17, 147-159] is presented and assessed to reconstruct the observed climate in eastern Canada based extremes as well as mean state. In the ASD model, automatic predictor selection methods are based on backward stepwise regression and partial correlation coefficients. The ASD model also gives the possibility to use ridge regression to alleviate the effect of the non-orthogonality of predictor vectors. Outputs from the first generation Canadian Coupled Global Climate Model (CGCM1) and the third version of the coupled global Hadley Centre Climate Model (HadCM3) are used to test this approach over the current period (i.e. 1961-1990), and compare results with observed temperature and precipitation from 10 meteorological stations of Environment Canada located in eastern Canada. All ASD and SDSM models, as these two models are evaluated and inter-compared, are calibrated using NCEP (National Center for Environmental Prediction) reanalysis data before the use of GCMs atmospheric fields as input variables. The results underline certain limitations to downscale the precipitation regime and its strength to downscale the temperature regime. When modeling precipitation, the most commonly combination of predictor variables were relative and specific humidity at 500hPa, surface airflow strength, 850hPa zonal velocity and 500hPa geopotential height. For modeling temperature, mean sea level pressure, surface vorticity and 850hPa geopotential height were the most dominant variables. To evaluate the performance of the statistical downscaling approach, several climatic and statistical indices were developed. Results indicate that the agreement of simulations with observations depends on the GCMs atmospheric variables used as ''predictors'' in the regression-based approach, and the performance of the statistical downscaling model varies for different stations and seasons. The comparison of SDSM and ASD models indicated that neither could perform well for all seasons and months. However, using different statistical downscaling models and multi-sources GCMs data can provide a better range of uncertainty for climatic and statistical indices.

2010 - Journal of Transport Geography
Climate change and the air travel decisions of UK tourists

Whilst much effort has been made to communicate to the public the importance of reducing carbon footprints in the home, one area where emissions are growing rapidly and little attempt has been made to increase consumer understanding of the impacts is holidays, particularly those involving air travel. Using focus group research, this paper explores tourists’ awareness of the impacts of travel on climate change, examines the extent to which climate change features in holiday travel decisions and identifies some of the barriers to the adoption of less carbon-intensive tourism practices. The findings suggest that many tourists do not consider climate change when planning their holidays. The failure of tourists to engage with the climate change impact of holidays, combined with significant barriers to behavioural change, presents a considerable challenge in moving the tourism industry onto a sustainable emissions path. The findings are discussed in relation to theoretical perspectives from psychology and sociology.

2008 - Science
Prioritizing Climate Change Adaptation Needs for Food Security in 2030

Investments aimed at improving agricultural adaptation to climate change inevitably favor some crops and regions over others. An analysis of climate risks for crops in 12 food-insecure regions was conducted to identify adaptation priorities, based on statistical crop models and climate projections for 2030 from 20 general circulation models. Results indicate South Asia and Southern Africa as two regions that, without sufficient adaptation measures, will likely suffer negative impacts on several crops that are important to large food-insecure human populations. We also find that uncertainties vary widely by crop, and therefore priorities will depend on the risk attitudes of investment institutions.

2018 - The Lancet
The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come

The Lancet Countdown: tracking progress on health and climate change was established to provide an independent, global monitoring system dedicated to tracking the health dimensions of the impacts of, and the response to, climate change. The Lancet Countdown tracks 41 indicators across five domains: climate change impacts, exposures, and vulnerability; adaptation, planning, and resilience for health; mitigation actions and health co-benefits; finance and economics; and public and political engagement. This report is the product of a collaboration of 27 leading academic institutions, the UN, and intergovernmental agencies from every continent. The report draws on world-class expertise from climate scientists, ecologists, mathematicians, geographers, engineers, energy, food, livestock, and transport experts, economists, social and political scientists, public health professionals, and. doctors. The Lancet Countdown’s work builds on decades of research in this field, and was first proposed in the 2015 Lancet Commission on health and climate change,1 which documented the human impacts of climate change and provided ten global recommendations to respond to this public health emergency and secure the public health benefits available (panel 1).

2010 - Proceedings of the National Academy of Sciences
Temperatures and cyclones strongly associated with economic production in the Caribbean and Central America

Understanding the economic impact of surface temperatures is an important question for both economic development and climate change policy. This study shows that in 28 Caribbean-basin countries, the response of economic output to increased temperatures is structurally similar to the response of labor productivity to high temperatures, a mechanism omitted from economic models of future climate change. This similarity is demonstrated by isolating the direct influence of temperature from that of tropical cyclones, an important correlate. Notably, output losses occurring in nonagricultural production (–2.4%/+1 °C) substantially exceed losses occurring in agricultural production (–0.1%/+1 °C). Thus, these results suggest that current models of future climate change that focus on agricultural impacts but omit the response of workers to thermal stress may underestimate the global economic costs of climate change.

Influences of recent climate change and human activities on water storage variations in Central Asia

Yaning Chen
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Yaning Chen
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Haijun Deng
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Haijun Deng

Abstract:Terrestrial water storage (TWS) change is an indicator of climate change. Therefore, it is helpful to understand how climate change impacts water systems. In this study, the influence of climate change on TWS in Central Asia over the past decade was analyzed using the Gravity Recovery and Climate Experiment satellites and Climatic Research Unit datasets. Results indicate that TWS experienced a decreasing trend in Central Asia from 2003 to 2013 at a rate of −4.44 ± 2.2 mm/a, and that the maximum positive anomaly for TWS (46 mm) occurred in July 2005, while the minimum negative anomaly (−32.5 mm) occurred in March 2008–August 2009. The decreasing trend of TWS in northern Central Asia (−3.86 ± 0.63 mm/a) is mainly attributed to soil moisture storage depletion, which is driven primarily by the increase in evapotranspiration. In the mountainous regions, climate change exerted an influence on TWS by affecting glaciers and snow cover change. However, human activities are now the dominant factor driving the decline of TWS in the Aral Sea region and the northern Tarim River Basin.

参考文献

[1]  R. Hirsch,et al.  A Nonparametric Trend Test for Seasonal Data With Serial Dependence , 1984 .

[2]  T. Bolch,et al.  Substantial glacier mass loss in the Tien Shan over the past 50 years , 2015 .

[3]  Anny Cazenave,et al.  Interannual variability in water storage over 2003–2008 in the Amazon Basin from GRACE space gravimetry, in situ river level and precipitation data , 2010 .

[4]  Peter Bauer-Gottwein,et al.  Will climate change exacerbate water stress in Central Asia? , 2012, Climatic Change.

[5]  Khaled H. Hamed,et al.  A modified Mann-Kendall trend test for autocorrelated data , 1998 .

[6]  Yaning Chen,et al.  Water and ecological security: dealing with hydroclimatic challenges at the heart of China’s Silk Road , 2016, Environmental Earth Sciences.

[7]  M. Rodell,et al.  Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin , 2008 .

[8]  G. Komen,et al.  Climate variability , 2008, The Climate System.

[9]  L. Thompson,et al.  Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings , 2012 .

[10]  G. Henebry,et al.  Climate and environmental change in arid Central Asia: impacts, vulnerability, and adaptations. , 2009 .

[11]  James L. Davis,et al.  Land water storage within the Congo Basin inferred from GRACE satellite gravity data , 2006 .

[12]  Matthew Rodell,et al.  Analysis of terrestrial water storage changes from GRACE and GLDAS , 2008 .

[13]  Tim R. McVicar,et al.  Less bluster ahead? Ecohydrological implications of global trends of terrestrial near‐surface wind speeds , 2012 .

[14]  J. Famiglietti,et al.  A GRACE‐based water storage deficit approach for hydrological drought characterization , 2014 .

[15]  F. Landerer,et al.  Accuracy of scaled GRACE terrestrial water storage estimates , 2012 .

[16]  Christian Schwatke,et al.  Inter-annual water storage changes in the Aral Sea from multi-mission satellite altimetry, optical remote sensing, and GRACE satellite gravimetry , 2012 .

[17]  Faisal Hossain,et al.  Inter-annual Water Storage Changes in Asia from GRACE Data , 2010 .

[18]  Martijn Gough.  Climate change , 2009, Canadian Medical Association Journal.

[19]  Frédéric Frappart,et al.  Time variations of land water storage from an inversion of 2 years of GRACE geoids , 2005 .

[20]  S. Swenson,et al.  Accuracy of GRACE mass estimates , 2006 .

[21]  Peng Yang,et al.  An analysis of terrestrial water storage variations from GRACE and GLDAS: The Tianshan Mountains and its adjacent areas, central Asia , 2015 .

[22]  B. Scanlon,et al.  Global analysis of approaches for deriving total water storage changes from GRACE satellites , 2015 .

[23]  Zhi Li,et al.  Progress and prospects of climate change impacts on hydrology in the arid region of northwest China. , 2015, Environmental Research.

[24]  B. Scanlon,et al.  GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas , 2013 .

[25]  Ruifeng Zhao,et al.  Responses of Surface Runoff to Climate Change and Human Activities in the Arid Region of Central Asia: A Case Study in the Tarim River Basin, China , 2013, Environmental Management.

[26]  Yang Hong,et al.  Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data , 2014 .

[27]  J. Qi,et al.  An Overview Of Environmental Issues In Central Asia , 2008 .

[28]  G. Destouni,et al.  Bathymetry‐topography effects on saltwater–fresh groundwater interactions around the shrinking Aral Sea , 2006 .

[29]  T. Bernauer,et al.  Climate change and international water conflict in Central Asia , 2012 .

[30]  Roger Wheate,et al.  Randolph Glacier Inventory [v2.0]: A Dataset of Global Glacier Outlines , 2012 .

[31]  Hui Fang,et al.  Changes in the area of inland lakes in arid regions of central Asia during the past 30 years , 2011, Environmental monitoring and assessment.

[32]  J. Famiglietti,et al.  Satellite-based estimates of groundwater depletion in India , 2009, Nature.

[33]  M. Cheng,et al.  Variations in the Earth's oblateness during the past 28 years , 2004 .

[34]  S. Yirdaw,et al.  GRACE satellite observations of terrestrial moisture changes for drought characterization in the Canadian Prairie , 2008 .

[35]  L. Wen,et al.  Satellite gravity measurement monitoring terrestrial water storage change and drought in the continental United States , 2016, Scientific Reports.

[36]  Zhongbo Yu,et al.  Climate change and water storage variability over an arid endorheic region , 2015 .

[37]  S. Swenson,et al.  Post‐processing removal of correlated errors in GRACE data , 2006 .

[38]  On the use of elevation, altitude, and height in the ecological and climatological literature , 2013, Oecologia.

[39]  Lan-hai Li,et al.  Variation of the proportion of precipitation occurring as snow in the Tian Shan Mountains, China , 2015 .

[40]  B. Scanlon,et al.  Comparison of seasonal terrestrial water storage variations from GRACE with groundwater‐level measurements from the High Plains Aquifer (USA) , 2007 .

[41]  P. Jones,et al.  Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .

[42]  Khaled H. Hamed.  Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis , 2008 .

[43]  Catherine Ottlé,et al.  Land water storage variability over West Africa estimated by Gravity Recovery and Climate Experiment (GRACE) and land surface models , 2011 .

[44]  Brian C. Gunter,et al.  Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin , 2014 .

[45]  M. Bierkens,et al.  Climate Change Will Affect the Asian Water Towers , 2010, Science.

[46]  T. Davie.  Fundamentals of Hydrology , 2002 .

[47]  H. Oberhänsli,et al.  Climate variability during the past 2,000 years and past economic and irrigation activities in the Aral Sea basin , 2007 .

[48]  Heiko Paeth,et al.  Dynamical downscaling of climate change in Central Asia , 2013 .

[49]  Wei Shi,et al.  Long‐term hydrological changes of the Aral Sea observed by satellites , 2014 .

[50]  Matthew Rodell,et al.  Low degree spherical harmonic influences on Gravity Recovery and Climate Experiment (GRACE) water storage estimates , 2005 .

[51]  W. Feng,et al.  Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground‐based measurements , 2013 .

[52]  W. Tad Pfeffer,et al.  Recent contributions of glaciers and ice caps to sea level rise , 2012, Nature.

[53]  P. Micklin,et al.  The past, present, and future Aral Sea , 2010 .

[54]  F. Bryan,et al.  Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .

[55]  Jeff Dozier,et al.  Climatic and hydrologic changes in the Tien Shan, central Asia , 1997 .

[56]  J. Famiglietti,et al.  GRACE satellite observations reveal the severity of recent water over-consumption in the United States , 2017, Scientific Reports.

[57]  Martin Beniston,et al.  Climate change impacts on glaciers and runoff in Tien Shan (Central Asia) , 2012 .

[58]  Yanping Cao,et al.  GRACE Gravity Satellite Observations of Terrestrial Water Storage Changes for Drought Characterization in the Arid Land of Northwestern China , 2015, Remote. Sens..

[59]  R. Houborg,et al.  Drought indicators based on model‐assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations , 2012 .

[60]  S. Seneviratne,et al.  Basin scale estimates of evapotranspiration using GRACE and other observations , 2004 .

[61]  Matthew Rodell,et al.  An analysis of terrestrial water storage variations in Illinois with implications for the Gravity Recovery and Climate Experiment (GRACE) , 2001 .

[62]  S. Seneviratne,et al.  Seasonal Variations in Terrestrial Water Storage for Major Midlatitude River Basins , 2006 .

[63]  Koji Matsuo,et al.  Time-variable ice loss in Asian high mountains from satellite gravimetry , 2010 .

[64]  Yaning Chen,et al.  Potential impacts of climate change on vegetation dynamics in Central Asia , 2015 .

[65]  Jonathan M. Adams,et al.  Impacts of Climate and Land-cover Changes in Arid Lands of Central Asia , 2005 .

[66]  P. Whetton,et al.  The Potential Impacts of Climate Change , 2000 .

引用
Multivariate assessment and attribution of droughts in Central Asia
Scientific Reports
2017
Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia
Remote. Sens.
2019
Assessing the Response of Ecosystem Water Use Efficiency to Drought During and after Drought Events across Central Asia
Sensors
2020
Detection of hydrological variations and their impacts on vegetation from multiple satellite observations in the Three-River Source Region of the Tibetan Plateau.
The Science of the total environment
2018
Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin
Remote. Sens.
2021
Assessment of the Irrigation Water Requirement and Water Supply Risk in the Tarim River Basin, Northwest China
Sustainability
2019
GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes
Remote. Sens.
2018
Spatial and temporal characteristics of droughts in Central Asia during 1966-2015.
The Science of the total environment
2018
Recent Changes in Water Discharge in Snow and Glacier Melt-Dominated Rivers in the Tienshan Mountains, Central Asia
Remote. Sens.
2020
Satellite-observed vegetation stability in response to changes in climate and total water storage in Central Asia.
The Science of the total environment
2019
The Impact of Precipitation Deficit and Urbanization on Variations in Water Storage in the Beijing-Tianjin-Hebei Urban Agglomeration
Remote. Sens.
2017
Understanding the spatial differences in terrestrial water storage variations in the Tibetan Plateau from 2002 to 2016
Climatic Change
2018
Impacts of Human Activities on the Variations in Terrestrial Water Storage of the Aral Sea Basin
Remote. Sens.
2021
Projected Meteorological Drought over Asian Drylands under Different CMIP6 Scenarios
Remote. Sens.
2021
A high-resolution air temperature data set for the Chinese Tian Shan in 1979–2016
Earth System Science Data
2018
Evaluation of twelve evapotranspiration products from machine learning, remote sensing and land surface models over conterminous United States
Journal of Hydrology
2019
Unraveling the impacts of droughts and agricultural intensification on the Altiplano water resources
2019
Impacts of Human Activities and Climate Change on Water Storage Changes in Shandong Province, China
Environmental Science and Pollution Research
2022
The Impact of Climate Change on Hydrological Regime of the Transboundary River Shu Basin (Kazakhstan–Kyrgyzstan): Forecast for 2050
Water
2021
Rapidly declining surface and terrestrial water resources in Central Asia driven by socio-economic and climatic changes.
The Science of the total environment
2021