Review of recent advances in climate change detection and attribution studies: a large-scale hydroclimatological perspective

The rapid changes in global average surface temperature have unfathomed influences on human society, environment, ecosystem, availability of food and fresh water. Multiple lines of evidence indicate that warming of the climate system is unequivocal, and human-induced effects are playing an enhanced role in climate change. It is of utmost importance to ascertain the hydroclimatological changes in order to ascertain the characteristics of detection and attribution (D&A) of humaninduced anthropogenic influences on recent warming. Climate change D&A are interrelated. Their study enhances our understanding about the rudimentary causes leading to climate changes and hence, considered as a decisive element in all Intergovernmental Panel on Climate Change Assessment Reports. An extensive discussion of the concerned scientific literature on climate change D&A is indispensably needed for the scientific community to assess climate change threats in clear terms. This study has reviewed various processes and advances in climate change D&A analyses at global/regional scales during the past few decades. Regression-based optimal fingerprint approach is majorly employed in climate change D&A studies. The accumulation of inferences presented in this study from numerous studies could be extremely helpful for the scientific community and policymakers as they deal with climate change adaptation and mitigation challenges. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/). doi: 10.2166/wcc.2020.091 ://iwaponline.com/jwcc/article-pdf/11/1/1/677501/jwc0110001.pdf P. Sonali D. Nagesh Kumar (corresponding author) Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru, 560012, India E-mail: nagesh@iisc.ac.in D. Nagesh Kumar Department of Civil Engineering, Indian Institute of Science, Interdisciplinary Centre for Water Research, Indian Institute of Science, Bengaluru, 560012, India

[1]  K. Hasselmann.  On the signal-to-noise problem in atmospheric response studies , 1979 .

[2]  Sabine Van Huffel,et al.  Total least squares problem - computational aspects and analysis , 1991, Frontiers in applied mathematics.

[3]  K. Hasselmann.  Optimal Fingerprints for the Detection of Time-dependent Climate Change , 1993 .

[4]  B. Santer,et al.  Detecting greenhouse-gas-induced climate change with an optimal fingerprint method , 1996 .

[5]  Klaus Hasselmann,et al.  Multi-pattern fingerprint method for detection and attribution of climate change , 1997 .

[6]  M. R. Allen,et al.  Checking for model consistency in optimal fingerprinting , 1999 .

[7]  Gerald R. North,et al.  Detecting Climate Signals in the Surface Temperature Record , 1998 .

[8]  W Ogana,et al.  Contribution of Working Group 1 to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2001 .

[9]  M. Allen,et al.  Constraints on future changes in climate and the hydrologic cycle , 2002, Nature.

[10]  F. Zwiers,et al.  Toward Regional-Scale Climate Change Detection , 2003 .

[11]  P. Stott,et al.  Estimating signal amplitudes in optimal fingerprinting, part I: theory , 2003 .

[12]  Peter A. Stott,et al.  Attribution of regional‐scale temperature changes to anthropogenic and natural causes , 2003 .

[13]  Myles Allen,et al.  Liability for climate change , 2003, Nature.

[14]  A. Hense,et al.  A Bayesian decision method for climate change signal analysis , 2004 .

[15]  Olivier Ledoit,et al.  A well-conditioned estimator for large-dimensional covariance matrices , 2004 .

[16]  K. Hasselmann,et al.  Optimal filtering for Bayesian detection and attribution of climate change , 2005 .

[17]  Myles R. Allen,et al.  Observational Constraints on Past Attributable Warming and Predictions of Future Global Warming , 2006 .

[18]  J. V. Revadekar,et al.  Global observed changes in daily climate extremes of temperature and precipitation , 2006 .

[19]  Myles R. Allen,et al.  Incorporating model uncertainty into attribution of observed temperature change , 2006 .

[20]  N. Christidis,et al.  Modeling the Recent Evolution of Global Drought and Projections for the Twenty-First Century with the Hadley Centre Climate Model , 2006 .

[21]  G. Hegerl,et al.  Detection of Human Influence on a New, Validated 1500-Year Temperature Reconstruction , 2007 .

[22]  G. Hegerl,et al.  Detection of human influence on twentieth-century precipitation trends , 2007, Nature.

[23]  Kimio Hanawa,et al.  Observations: Oceanic Climate Change and Sea Level , 2007 .

[24]  Stefano Schiavon,et al.  Climate Change 2007: The Physical Science Basis. , 2007 .

[25]  G. Meehl,et al.  Contributions of natural and anthropogenic forcing to changes in temperature extremes over the United States , 2007 .

[26]  G. Hegerl,et al.  Understanding and Attributing Climate Change , 2007 .

[27]  John F. B. Mitchell,et al.  THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research , 2007 .

[28]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[29]  J. Arblaster,et al.  Assessing trends in observed and modelled climate extremes over Australia in relation to future projections , 2007 .

[30]  T. Stocker,et al.  How unusual is the recent series of warm years? , 2008 .

[31]  J. Elsner,et al.  The increasing intensity of the strongest tropical cyclones , 2008, Nature.

[32]  B. Santer,et al.  Human-Induced Changes in the Hydrology of the Western United States , 2008, Science.

[33]  T. Crowley,et al.  Volcanism and the Little Ice Age , 2008 .

[34]  B. Santer,et al.  Attribution of declining Western U.S. Snowpack to human effects , 2008 .

[35]  Mike Lockwood,et al.  SOLAR INFLUENCES ON CLIMATE , 2009 .

[36]  P. Stott,et al.  Variability of high latitude amplification of anthropogenic warming , 2009 .

[37]  Dmitry A Smirnov,et al.  From Granger causality to long-term causality: application to climatic data. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  Francis W. Zwiers,et al.  Signal detectability in extreme precipitation changes assessed from twentieth century climate simulations , 2009 .

[39]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[40]  W. Landman.  Climate change 2007: the physical science basis , 2010 .

[41]  Francis W. Zwiers,et al.  Detection and attribution of climate change: a regional perspective , 2010 .

[42]  R. Heikes,et al.  The Steady-State Atmospheric Circulation Response to Climate Change–like Thermal Forcings in a Simple General Circulation Model , 2010 .

[43]  G. Holland,et al.  Tropical cyclones and climate change , 2010 .

[44]  S. Seneviratne,et al.  Investigating soil moisture-climate interactions in a changing climate: A review , 2010 .

[45]  Reto Knutti,et al.  Risks of Model Weighting in Multimodel Climate Projections , 2010 .

[46]  J. Pongratz,et al.  Climate forcing reconstructions for use in PMIP simulations of the last millennium (v1.0) , 2011 .

[47]  Axel Timmermann,et al.  Reconstructing surface temperature changes over the past 600 years using climate model simulations with data assimilation , 2010 .

[48]  S. Planton,et al.  A method for regional climate change detection using smooth temporal patterns , 2010 .

[49]  Reto Knutti,et al.  Challenges in Combining Projections from Multiple Climate Models , 2010 .

[50]  Ashish Sharma,et al.  A Comparison of Australian Open Water Body Evaporation Trends for Current and Future Climates Estimated from Class A Evaporation Pans and General Circulation Models , 2010 .

[51]  Francis W. Zwiers,et al.  Use of models in detection and attribution of climate change , 2011 .

[52]  G. Ren,et al.  Change in extreme temperature event frequency over mainland China, 1961-2008 , 2011 .

[53]  N. Bindoff,et al.  Observed decreases in oxygen content of the global ocean , 2011 .

[54]  F. Zwiers,et al.  Anthropogenic Influence on Long Return Period Daily Temperature Extremes at Regional Scales , 2011 .

[55]  Michael K. Tippett,et al.  A Significant Component of Unforced Multidecadal Variability in the Recent Acceleration of Global Warming , 2011 .

[56]  Caspar M. Ammann,et al.  Climate forcing reconstructions for use in PMIP simulations of the last millennium (v1.0) , 2011 .

[57]  P. Stott,et al.  Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000 , 2011, Nature.

[58]  G. Hegerl,et al.  Influence of human and natural forcing on European seasonal temperatures , 2011 .

[59]  K. Trenberth.  Changes in precipitation with climate change , 2011 .

[60]  A. Pitman,et al.  An Assessment of GCM Skill in Simulating Persistence across Multiple Time Scales , 2011 .

[61]  Francis W. Zwiers,et al.  Single‐step attribution of increasing frequencies of very warm regional temperatures to human influence , 2011 .

[62]  A. Dai.  Drought under global warming: a review , 2011 .

[63]  Tao Zhang,et al.  Was there a basis for anticipating the 2010 Russian heat wave? , 2011 .

[64]  J. Xia,et al.  Detection and Attribution of Observed Changes in the Hydrological Cycle under Global Warming , 2011 .

[65]  S. Rahmstorf,et al.  Increase of extreme events in a warming world , 2011, Proceedings of the National Academy of Sciences.

[66]  Evaluating global climate responses to different forcings using simple indices , 2012 .

[67]  Bin Wang,et al.  The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century , 2013, Climate Dynamics.

[68]  Myles R. Allen,et al.  Reconciling two approaches to attribution of the 2010 Russian heat wave , 2012 .

[69]  Kevin E. Trenberth,et al.  Climate extremes and climate change: The Russian heat wave and other climate extremes of 2010 , 2012 .

[70]  J. Hansen,et al.  Perception of climate change , 2012, Proceedings of the National Academy of Sciences.

[71]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[72]  P. P. Mujumdar,et al.  On the basin‐scale detection and attribution of human‐induced climate change in monsoon precipitation and streamflow , 2012 .

[73]  B. Santer,et al.  The fingerprint of human‐induced changes in the ocean's salinity and temperature fields , 2012 .

[74]  D. Shindell,et al.  On the Origin of Multidecadal to Centennial Greenland Temperature Anomalies Over the Past 800 yr , 2012 .

[75]  L. Polvani,et al.  Antarctic climate response to stratospheric ozone depletion in a fine resolution ocean climate model , 2012 .

[76]  S. Seneviratne.  Climate science: Historical drought trends revisited , 2012, Nature.

[77]  T. Stocker,et al.  Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of IPCC Intergovernmental Panel on Climate Change , 2012 .

[78]  R. Knutti,et al.  Evidence for external forcing on 20th‐century climate from combined ocean‐atmosphere warming patterns , 2012 .

[79]  G. Vecchi,et al.  Twenty-first-century projections of North Atlantic tropical storms from CMIP 5 models , 2012 .

[80]  H. Douville,et al.  Anthropogenic influence on multidecadal changes in reconstructed global evapotranspiration , 2012 .

[81]  D. Vaughan,et al.  Antarctic ice-sheet loss driven by basal melting of ice shelves , 2012, Nature.

[82]  Xavier Fettweis,et al.  Estimating the Greenland ice sheet surface mass balance contribution to future sea level rise using the regional atmospheric climate model MAR , 2012 .

[83]  Public Perception of Climate Change and the New Climate Dice , 2012, 1204.1286.

[84]  J. Marotzke,et al.  Observations reveal external driver for Arctic sea‐ice retreat , 2012 .

[85]  T. McVicar,et al.  Assessing climate change induced modification of Penman potential evaporation and runoff sensitivity in a large water-limited basin , 2012 .

[86]  Hao Wang,et al.  Attribution of water resources evolution in the highly water‐stressed Hai River Basin of China , 2012 .

[87]  E. Wood,et al.  Little change in global drought over the past 60 years , 2012, Nature.

[88]  C. Field.  Managing the risks of extreme events and disasters to advance climate change adaption , 2012 .

[89]  P. Stott,et al.  Fingerprints of changes in annual and seasonal precipitation from CMIP5 models over land and ocean , 2012 .

[90]  G. Vecchi,et al.  Twenty-first-century projections of North Atlantic tropical storms from CMIP5 models , 2012 .

[91]  J. LaCasce,et al.  Changes in the Extratropical Storm Tracks in Response to Changes in SST in an AGCM , 2012 .

[92]  D. Kumar,et al.  Review of trend detection methods and their application to detect temperature changes in India , 2013 .

[93]  W. Collins,et al.  Evaluation of climate models , 2013 .

[94]  Myles R. Allen,et al.  Attribution of Weather and Climate-Related Events , 2013 .

[95]  Aurélien Ribes,et al.  Application of regularised optimal fingerprinting to attribution. Part I: method, properties and idealised analysis , 2013, Climate Dynamics.

[96]  G. Hegerl,et al.  Detection and attribution of climate change: from global to regional , 2013 .

[97]  Aurélien Ribes,et al.  Application of regularised optimal fingerprinting to attribution. Part II: application to global near-surface temperature , 2013, Climate Dynamics.

[98]  G. Hegerl,et al.  Causes of Robust Seasonal Land Precipitation Changes , 2013 .

[99]  G. Hegerl,et al.  Detectable Changes in the Frequency of Temperature Extremes , 2013 .

[100]  James W. Hurrell,et al.  Climate Science for Serving Society: Research, Modeling and Prediction Priorities , 2013 .

[101]  S. Kanae,et al.  Global flood risk under climate change , 2013 .

[102]  Tao Zhang,et al.  Anatomy of an Extreme Event , 2013 .

[103]  Steven J. Phipps,et al.  Separating Forced from Chaotic Climate Variability over the Past Millennium , 2013 .

[104]  G. Vecchi,et al.  Projected Increases in North Atlantic Tropical Cyclone Intensity from CMIP5 Models , 2013 .

[105]  Z. Huo,et al.  Effect of climate change on reference evapotranspiration and aridity index in arid region of China , 2013 .

[106]  R. Alkama,et al.  Detection of global runoff changes: results from observations and CMIP5 experiments , 2013 .

[107]  P. Stott,et al.  Detection and Attribution of Observed Changes in Northern Hemisphere Spring Snow Cover , 2013 .

[108]  Eugene R. Wahl,et al.  Last Millennium Climate and Its Variability in CCSM4 , 2013 .

[109]  Lauren A. Patterson,et al.  Climate and direct human contributions to changes in mean annual streamflow in the South Atlantic, USA , 2013 .

[110]  J. Gregory,et al.  Twentieth-century global-mean sea-level rise: is the whole greater than the sum of the parts? , 2013 .

[111]  J. Turner,et al.  An Initial Assessment of Antarctic Sea Ice Extent in the CMIP5 Models , 2013 .

[112]  F. Zwiers,et al.  Effect of data coverage on the estimation of mean and variability of precipitation at global and regional scales , 2013 .

[113]  Shaun A Marcott,et al.  A Reconstruction of Regional and Global Temperature for the Past 11,300 Years , 2013, Science.

[114]  M. Hulme.  Attributing weather extremes to ‘climate change’ , 2014 .

[115]  A. Ganguly,et al.  Evaluating wind extremes in CMIP5 climate models , 2015, Climate Dynamics.

[116]  Xiangyu Xu,et al.  Attribution analysis based on the Budyko hypothesis for detecting the dominant cause of runoff decline in Haihe basin , 2014 .

[117]  Philippe Naveau,et al.  Optimal fingerprinting under multiple sources of uncertainty , 2014 .

[118]  Vimal Mishra,et al.  Reliability of regional and global climate models to simulate precipitation extremes over India , 2014 .

[119]  Julien Cattiaux,et al.  Changes of western European heat wave characteristics projected by the CMIP5 ensemble , 2015, Climate Dynamics.

[120]  E. Fischer,et al.  Detection of spatially aggregated changes in temperature and precipitation extremes , 2014 .

[121]  XULigang,et al.  Precipitation trends and variability from 1950 to 2000 in arid lands of Central Asia , 2015 .

[122]  Li Du,et al.  Precipitation trends and variability from 1950 to 2000 in arid lands of Central Asia , 2015, Journal of Arid Land.

[123]  Dáithí Stone,et al.  Rapid systematic assessment of the detection and attribution of regional anthropogenic climate change , 2016, Climate Dynamics.

[124]  David R. Easterling,et al.  CHALLENGES IN QUANTIFYING CHANGES IN THE GLOBAL WATER CYCLE , 2015 .

[125]  F. Zwiers,et al.  Designing Detection and Attribution Simulations for CMIP6 to Optimize the Estimation of Greenhouse Gas-Induced Warming , 2015 .

[126]  D. Kumar,et al.  Detection and attribution of seasonal temperature changes in India with climate models in the CMIP5 archive , 2016 .

[127]  D. Kumar,et al.  Detection and attribution of seasonal temperature changes in India with climate models in the CMIP 5 archive , 2016 .

[128]  D. Stone,et al.  The Deadly Combination of Heat and Humidity in India and Pakistan in Summer 2015 , 2016 .

[129]  Carl J. Schreck,et al.  Explaining Extreme Events of 2015 from a Climate Perspective , 2016 .

[130]  Spatio-temporal variability of temperature and potential evapotranspiration over India , 2016 .

[131]  D. Easterling,et al.  Detection and attribution of climate extremes in the observed record , 2016 .

[132]  Alexis Hannart,et al.  Integrated Optimal Fingerprinting: Method Description and Illustration , 2016 .

[133]  D. Kumar,et al.  Intercomparison of CMIP5 and CMIP3 simulations of the 20th century maximum and minimum temperatures over India and detection of climatic trends , 2017, Theoretical and Applied Climatology.

[134]  F. Zwiers,et al.  A new statistical approach to climate change detection and attribution , 2016, Climate Dynamics.

[135]  C. Deser,et al.  Forced and Internal Components of Winter Air Temperature Trends over North America during the past 50 Years: Mechanisms and Implications* , 2016 .

[136]  D. Nagesh Kumar,et al.  Ranking of CMIP5-based global climate models for India using compromise programming , 2017, Theoretical and Applied Climatology.

[137]  T. Knutson.  Appendix C: Detection and Attribution Methodologies Overview. Climate Science Special Report: Fourth National Climate Assessment, Volume I , 2017 .

[138]  B. Dong,et al.  Attribution of Forced Decadal Climate Change in Coupled and Uncoupled Ocean-Atmosphere Model Experiments , 2017 .

[139]  C. Dhanya,et al.  Unravelling Diurnal Asymmetry of Surface Temperature in Different Climate Zones , 2017, Scientific Reports.

[140]  S. Seneviratne,et al.  Anthropogenic climate change detected in European renewable freshwater resources , 2017 .

[141]  D. Kumar,et al.  Linkage between global sea surface temperature and hydroclimatology of a major river basin of India before and after 1980 , 2017 .

[142]  Matz A. Haugen,et al.  Quantifying the influence of global warming on unprecedented extreme climate events , 2017, Proceedings of the National Academy of Sciences.

[143]  F. Otto,et al.  Extreme heat in India and anthropogenic climate change , 2017 .

[144]  L. Alexander,et al.  Greater increases in temperature extremes in low versus high income countries , 2017 .

[145]  E. Fischer,et al.  The influence of internal climate variability on heatwave frequency trends , 2017 .

[146]  K. AchutaRao,et al.  Human influence on sub-regional surface air temperature change over India , 2018, Scientific Reports.

[147]  Vimal Mishra,et al.  Increase in extreme precipitation events under anthropogenic warming in India , 2018, Weather and Climate Extremes.

[148]  E. Fischer,et al.  Extreme heat waves under 1.5 °C and 2 °C global warming , 2018 .

[149]  A. P. Dimri.  Comparison of regional and seasonal changes and trends in daily surface temperature extremes over India and its subregions , 2019, Theoretical and Applied Climatology.

[150]  D. Kumar,et al.  Detection and attribution of climate change signals in South India maximum and minimum temperatures , 2018, Climate Research.

[151]  V. Mishra,et al.  The Kerala flood of 2018: combined impact of extreme rainfall and reservoir storage , 2018 .

[152]  P. Zhai,et al.  A Review of Climate Change Attribution Studies , 2018, Journal of Meteorological Research.

[153]  Lukas Gudmundsson,et al.  Observed Trends in Global Indicators of Mean and Extreme Streamflow , 2019, Geophysical Research Letters.

[154]  G. Blöschl,et al.  Informed attribution of flood changes to decadal variation of atmospheric, catchment and river drivers in Upper Austria , 2019, Journal of Hydrology.

[155]  Youpeng Xu,et al.  Spatiotemporal variation of vegetation coverage and its associated influence factor analysis in the Yangtze River Delta, eastern China , 2019, Environmental Science and Pollution Research.

[156]  R. Vervoort,et al.  Detecting the impact of land cover change on observed rainfall , 2019, PeerJ.

[157]  B. Dong,et al.  Attribution of Recent Trends in Temperature Extremes over China: Role of Changes in Anthropogenic Aerosol Emissions over Asia , 2019, Journal of Climate.

[158]  D. Horton,et al.  Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China , 2019, Journal of Geophysical Research: Atmospheres.

[159]  S. Vicente‐Serrano,et al.  Climate, Irrigation, and Land Cover Change Explain Streamflow Trends in Countries Bordering the Northeast Atlantic , 2019, Geophysical Research Letters.