Articles | Volume 9, issue 3
https://doi.org/10.5194/esd-9-985-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-9-985-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jul 2018
Research article |
| 23 Jul 2018
Seasonal prediction skill of East Asian summer monsoon in CMIP5 models
Institute of Meteorology, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Ulrich Cubasch
Institute of Meteorology, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Christopher Kadow
Institute of Meteorology, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
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B. Fallah and U. Cubasch
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Clim. Past Discuss., https://doi.org/10.5194/cpd-9-703-2013, https://doi.org/10.5194/cpd-9-703-2013, 2013
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This work focuses on the study of daily wet–cold compound events in Greece in the period November–April. We firstly study the historic period 1980–2004 in which we validate projection models with observations. Then we compare the model results with future period 2025–2049 RCP4.5 and RCP8.5 scenarios. The aim of the study is to calculate the probability of the events and to locate the areas where those are higher and how the probabilities will change at the future.
Rashed Mahmood, Markus G. Donat, Pablo Ortega, Francisco J. Doblas-Reyes, Carlos Delgado-Torres, Margarida Samsó, and Pierre-Antoine Bretonnière
Earth Syst. Dynam., 13, 1437–1450, https://doi.org/10.5194/esd-13-1437-2022, https://doi.org/10.5194/esd-13-1437-2022, 2022
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Near-term climate change projections are strongly affected by the uncertainty from internal climate variability. Here we present a novel approach to reduce such uncertainty by constraining decadal-scale variability in the projections using observations. The constrained ensembles show significant added value over the unconstrained ensemble in predicting global climate 2 decades ahead. We also show the applicability of regional constraints for attributing predictability to certain ocean regions.
Louise J. Slater, Chris Huntingford, Richard F. Pywell, John W. Redhead, and Elizabeth J. Kendon
Earth Syst. Dynam., 13, 1377–1396, https://doi.org/10.5194/esd-13-1377-2022, https://doi.org/10.5194/esd-13-1377-2022, 2022
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This work considers how wheat yields are affected by weather conditions during the three main wheat growth stages in the UK. Impacts are strongest in years with compound weather extremes across multiple growth stages. Future climate projections are beneficial for wheat yields, on average, but indicate a high risk of unseen weather conditions which farmers may struggle to adapt to and mitigate against.
Amy H. Peace, Ben B. B. Booth, Leighton A. Regayre, Ken S. Carslaw, David M. H. Sexton, Céline J. W. Bonfils, and John W. Rostron
Earth Syst. Dynam., 13, 1215–1232, https://doi.org/10.5194/esd-13-1215-2022, https://doi.org/10.5194/esd-13-1215-2022, 2022
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Anthropogenic aerosol emissions have been linked to driving climate responses such as shifts in the location of tropical rainfall. However, the interaction of aerosols with climate remains one of the most uncertain aspects of climate modelling and limits our ability to predict future climate change. We use an ensemble of climate model simulations to investigate what impact the large uncertainty in how aerosols interact with climate has on predicting future tropical rainfall shifts.
Erwan Le Roux, Guillaume Evin, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
Earth Syst. Dynam., 13, 1059–1075, https://doi.org/10.5194/esd-13-1059-2022, https://doi.org/10.5194/esd-13-1059-2022, 2022
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Anticipating risks related to climate extremes is critical for societal adaptation to climate change. In this study, we propose a statistical method in order to estimate future climate extremes from past observations and an ensemble of climate change simulations. We apply this approach to snow load data available in the French Alps at 1500 m elevation and find that extreme snow load is projected to decrease by −2.9 kN m−2 (−50 %) between 1986–2005 and 2080–2099 for a high-emission scenario.
Ole Bøssing Christensen, Erik Kjellström, Christian Dieterich, Matthias Gröger, and Hans Eberhard Markus Meier
Earth Syst. Dynam., 13, 133–157, https://doi.org/10.5194/esd-13-133-2022, https://doi.org/10.5194/esd-13-133-2022, 2022
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The Baltic Sea Region is very sensitive to climate change, whose impacts could easily exacerbate biodiversity stress from society and eutrophication of the Baltic Sea. Therefore, there has been a focus on estimations of future climate change and its impacts in recent research. Models show a strong warming, in particular in the north in winter. Precipitation is projected to increase in the whole region apart from the south during summer. New results improve estimates of future climate change.
Guillaume Evin, Samuel Somot, and Benoit Hingray
Earth Syst. Dynam., 12, 1543–1569, https://doi.org/10.5194/esd-12-1543-2021, https://doi.org/10.5194/esd-12-1543-2021, 2021
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This research paper proposes an assessment of mean climate change responses and related uncertainties over Europe for mean seasonal temperature and total seasonal precipitation. An advanced statistical approach is applied to a large ensemble of 87 high-resolution EURO-CORDEX projections. For the first time, we provide a comprehensive estimation of the relative contribution of GCMs and RCMs, RCP scenarios, and internal variability to the total variance of a very large ensemble.
Claudia Tebaldi, Kalyn Dorheim, Michael Wehner, and Ruby Leung
Earth Syst. Dynam., 12, 1427–1501, https://doi.org/10.5194/esd-12-1427-2021, https://doi.org/10.5194/esd-12-1427-2021, 2021
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We address the question of how large an initial condition ensemble of climate model simulations should be if we are concerned with accurately projecting future changes in temperature and precipitation extremes. We find that for most cases (and both models considered), an ensemble of 20–25 members is sufficient for many extreme metrics, spatial scales and time horizons. This may leave computational resources to tackle other uncertainties in climate model simulations with our ensembles.
Stefanie Talento and Andrey Ganopolski
Earth Syst. Dynam., 12, 1275–1293, https://doi.org/10.5194/esd-12-1275-2021, https://doi.org/10.5194/esd-12-1275-2021, 2021
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We propose a model for glacial cycles and produce an assessment of possible trajectories for the next 1 million years. Under natural conditions, the next glacial inception would most likely occur ∼50 kyr after present. We show that fossil-fuel CO2 releases can have an extremely long-term effect. Potentially achievable CO2 anthropogenic emissions during the next centuries will most likely provoke ice-free conditions in the Northern Hemisphere landmasses throughout the next half a million years.
Yoann Robin and Mathieu Vrac
Earth Syst. Dynam., 12, 1253–1273, https://doi.org/10.5194/esd-12-1253-2021, https://doi.org/10.5194/esd-12-1253-2021, 2021
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We propose a new multivariate downscaling and bias correction approach called
time-shifted multivariate bias correction, which aims to correct temporal dependencies in addition to inter-variable and spatial ones. Our method is evaluated in a
perfect model experimentcontext where simulations are used as pseudo-observations. The results show a large reduction of the biases in the temporal properties, while inter-variable and spatial dependence structures are still correctly adjusted.
Aaron Spring, István Dunkl, Hongmei Li, Victor Brovkin, and Tatiana Ilyina
Earth Syst. Dynam., 12, 1139–1167, https://doi.org/10.5194/esd-12-1139-2021, https://doi.org/10.5194/esd-12-1139-2021, 2021
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Numerical carbon cycle prediction models usually do not start from observed carbon states due to sparse observations. Instead, only physical climate is reconstructed, assuming that the carbon cycle follows indirectly. Here, we test in an idealized framework how well this indirect and direct reconstruction with perfect observations works. We find that indirect reconstruction works quite well and that improvements from the direct method are limited, strengthening the current indirect use.
Johannes Lohmann, Daniele Castellana, Peter D. Ditlevsen, and Henk A. Dijkstra
Earth Syst. Dynam., 12, 819–835, https://doi.org/10.5194/esd-12-819-2021, https://doi.org/10.5194/esd-12-819-2021, 2021
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Tipping of one climate subsystem could trigger a cascade of subsequent tipping points and even global-scale climate tipping. Sequential shifts of atmosphere, sea ice and ocean have been recorded in proxy archives of past climate change. Based on this we propose a conceptual model for abrupt climate changes of the last glacial. Here, rate-induced tipping enables tipping cascades in systems with relatively weak coupling. An early warning signal is proposed that may detect such a tipping.
Philip Goodwin and B. B. Cael
Earth Syst. Dynam., 12, 709–723, https://doi.org/10.5194/esd-12-709-2021, https://doi.org/10.5194/esd-12-709-2021, 2021
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Climate sensitivityis a key measure of how sensitive Earth's climate is to human release of greenhouse gasses, such as from fossil fuels. However, there is still uncertainty as to the value of climate sensitivity, in part because different climate feedbacks operate over multiple timescales. This study assesses hundreds of millions of climate simulations against historical observations to reduce uncertainty in climate sensitivity and future climate warming.
Laura A. McBride, Austin P. Hope, Timothy P. Canty, Brian F. Bennett, Walter R. Tribett, and Ross J. Salawitch
Earth Syst. Dynam., 12, 545–579, https://doi.org/10.5194/esd-12-545-2021, https://doi.org/10.5194/esd-12-545-2021, 2021
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We use a reduced-complexity climate model trained by observations to show that at the current rate of human release of CO2, total cumulative emissions will pass the 66 % likelihood of limiting warming to 1.5° or 2°C in about 10 and 35 years, respectively. We also show that complex climate models often used to guide policy tend to warm faster than observed over the past few decades. To achieve the Paris Climate Agreement, CO2 and CH4 emissions must be severely curtailed in the next decade.
Roberto Bilbao, Simon Wild, Pablo Ortega, Juan Acosta-Navarro, Thomas Arsouze, Pierre-Antoine Bretonnière, Louis-Philippe Caron, Miguel Castrillo, Rubén Cruz-García, Ivana Cvijanovic, Francisco Javier Doblas-Reyes, Markus Donat, Emanuel Dutra, Pablo Echevarría, An-Chi Ho, Saskia Loosveldt-Tomas, Eduardo Moreno-Chamarro, Núria Pérez-Zanon, Arthur Ramos, Yohan Ruprich-Robert, Valentina Sicardi, Etienne Tourigny, and Javier Vegas-Regidor
Earth Syst. Dynam., 12, 173–196, https://doi.org/10.5194/esd-12-173-2021, https://doi.org/10.5194/esd-12-173-2021, 2021
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This paper presents and evaluates a set of retrospective decadal predictions with the EC-Earth3 climate model. These experiments successfully predict past changes in surface air temperature but show poor predictive capacity in the subpolar North Atlantic, a well-known source region of decadal climate variability. The poor predictive capacity is linked to an initial shock affecting the Atlantic Ocean circulation, ultimately due to a suboptimal representation of the Labrador Sea density.
Assaf Hochman, Sebastian Scher, Julian Quinting, Joaquim G. Pinto, and Gabriele Messori
Earth Syst. Dynam., 12, 133–149, https://doi.org/10.5194/esd-12-133-2021, https://doi.org/10.5194/esd-12-133-2021, 2021
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Skillful forecasts of extreme weather events have a major socioeconomic relevance. Here, we compare two approaches to diagnose the predictability of eastern Mediterranean heat waves: one based on recent developments in dynamical systems theory and one leveraging numerical ensemble weather forecasts. We conclude that the former can be a useful and cost-efficient complement to conventional numerical forecasts for understanding the dynamics of eastern Mediterranean heat waves.
Manuel Schlund, Axel Lauer, Pierre Gentine, Steven C. Sherwood, and Veronika Eyring
Earth Syst. Dynam., 11, 1233–1258, https://doi.org/10.5194/esd-11-1233-2020, https://doi.org/10.5194/esd-11-1233-2020, 2020
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As an important measure of climate change, the Equilibrium Climate Sensitivity (ECS) describes the change in surface temperature after a doubling of the atmospheric CO2 concentration. Climate models from the Coupled Model Intercomparison Project (CMIP) show a wide range in ECS. Emergent constraints are a technique to reduce uncertainties in ECS with observational data. Emergent constraints developed with data from CMIP phase 5 show reduced skill and higher ECS ranges when applied to CMIP6 data.
J. Isaac Miller and Kyungsik Nam
Earth Syst. Dynam., 11, 1123–1132, https://doi.org/10.5194/esd-11-1123-2020, https://doi.org/10.5194/esd-11-1123-2020, 2020
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We augment an energy balance model with a novel measure of the oceans' multidecadal temperatures cycles to assess the contributions of model forcings and natural variability to the so-called hiatus in global warming. The model partially explains the recent slowdown and explains nearly all of the subsequent warming. The natural cycle suggests the possibility of a much longer hiatus over roughly 2023–2061.
Christopher H. O'Reilly, Daniel J. Befort, and Antje Weisheimer
Earth Syst. Dynam., 11, 1033–1049, https://doi.org/10.5194/esd-11-1033-2020, https://doi.org/10.5194/esd-11-1033-2020, 2020
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This study examines how the output of large single-model ensembles can be calibrated using observational data to provide improved future projections over Europe. Using an out-of-sample
imperfect modeltest, in which calibration techniques are applied to individual climate model realisations, these techniques are shown to generally improve the reliability of European climate projections for the next 40 years, particularly for regional surface temperature.
Lukas Brunner, Angeline G. Pendergrass, Flavio Lehner, Anna L. Merrifield, Ruth Lorenz, and Reto Knutti
Earth Syst. Dynam., 11, 995–1012, https://doi.org/10.5194/esd-11-995-2020, https://doi.org/10.5194/esd-11-995-2020, 2020
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In this study, we weight climate models by their performance with respect to simulating aspects of historical climate and their degree of interdependence. Our method is found to increase projection skill and to correct for structurally similar models. The weighted end-of-century mean warming (2081–2100 relative to 1995–2014) is 3.7 °C with a likely (66 %) range of 3.1 to 4.6 °C for the strong climate change scenario SSP5-8.5; this is a reduction of 0.4 °C compared with the unweighted mean.
Femke J. M. M. Nijsse, Peter M. Cox, and Mark S. Williamson
Earth Syst. Dynam., 11, 737–750, https://doi.org/10.5194/esd-11-737-2020, https://doi.org/10.5194/esd-11-737-2020, 2020
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One of the key questions in climate science is how much more heating we will get for a given rise in carbon dioxide in the atmosphere. A new generation of models showed that this might be more than previously expected. Comparing the new models to observed temperature rise since 1970, we show that there is no need to revise the estimate upwards. Air pollution, whose effect on climate warming is poorly understood, stopped rising, allowing us to better constrain the greenhouse gas signal.
Bastien François, Mathieu Vrac, Alex J. Cannon, Yoann Robin, and Denis Allard
Earth Syst. Dynam., 11, 537–562, https://doi.org/10.5194/esd-11-537-2020, https://doi.org/10.5194/esd-11-537-2020, 2020
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Recently, multivariate bias correction (MBC) methods designed to adjust climate simulations have been proposed. However, they use different approaches, leading potentially to different results. Therefore, this study intends to intercompare four existing MBC methods to provide end users with aid in choosing such methods for their applications. To do so, a wide range of evaluation criteria have been used to assess the ability of MBC methods to correct statistical properties of climate models.
Hideo Shiogama, Ryuichi Hirata, Tomoko Hasegawa, Shinichiro Fujimori, Noriko N. Ishizaki, Satoru Chatani, Masahiro Watanabe, Daniel Mitchell, and Y. T. Eunice Lo
Earth Syst. Dynam., 11, 435–445, https://doi.org/10.5194/esd-11-435-2020, https://doi.org/10.5194/esd-11-435-2020, 2020
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Based on climate simulations, we suggested that historical warming increased chances of drought exceeding the severe 2015 event in equatorial Asia due to El Niño. The fire and fire emissions of CO2/PM2.5 will largely increase at 1.5 and 2 °C warming. If global warming reaches 3 °C, as is expected from the current mitigation policies, chances of fire and CO2/PM2.5 emissions exceeding the 2015 event become approximately 100 %. Future climate policy has to consider these climate change effects.
Minchao Wu, Grigory Nikulin, Erik Kjellström, Danijel Belušić, Colin Jones, and David Lindstedt
Earth Syst. Dynam., 11, 377–394, https://doi.org/10.5194/esd-11-377-2020, https://doi.org/10.5194/esd-11-377-2020, 2020
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Regional Climate Models constitute a downscaling tool to provide high-resolution data for impact and adaptation studies. However, there is no unique definition of the added value of downscaling as it depends on many factors. We investigate the impact of spatial resolution and model formulation on downscaled rainfall in Africa. Our results show that improvements in downscaled rainfall compared to the driving reanalysis are often related to model formulation and not always to higher resolution.
James D. Annan and Julia C. Hargreaves
Earth Syst. Dynam., 11, 347–356, https://doi.org/10.5194/esd-11-347-2020, https://doi.org/10.5194/esd-11-347-2020, 2020
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We explore the implicit assumptions that underlie many published probabilistic estimates of the equilibrium climate sensitivity – that is, the amount the climate will warm under a doubling of the atmospheric CO2 concentration. We demonstrate that many such estimates have made assumptions that would be difficult to justify and show how the calculations can be repeated in a more defensible manner. Our results show some significant differences from previous calculations.
Stella Todzo, Adeline Bichet, and Arona Diedhiou
Earth Syst. Dynam., 11, 319–328, https://doi.org/10.5194/esd-11-319-2020, https://doi.org/10.5194/esd-11-319-2020, 2020
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This study uses climate projections over West Africa to investigate the future changes in different aspects of its hydrological cycle. Over the 21st century, temperatures are expected to increase at a faster rate (+0.5 °C per decade) than the global average (+0.3 °C per decade), leading to an intensification of the hydrological cycle on average of +11 % per °C over the Sahel (more intense precipitation and longer dry spells) and +3 % per °C over the Guinea Coast (more intense precipitation).
Olivier Champagne, Martin Leduc, Paulin Coulibaly, and M. Altaf Arain
Earth Syst. Dynam., 11, 301–318, https://doi.org/10.5194/esd-11-301-2020, https://doi.org/10.5194/esd-11-301-2020, 2020
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Southern Ontario has seen more high flows in winter recently due to earlier snowmelt. We show that 10 mm of daily rain and temperature higher than 5 °C are necessary conditions to generate winter high flows in the historical period. These conditions are associated with high pressure on the east coast bringing warm and wet conditions from the south. In the future, as snowfall decreases, warm events will generate less high flows, while rainfall will become a greater high-flow contributor.
Tímea Haszpra, Mátyás Herein, and Tamás Bódai
Earth Syst. Dynam., 11, 267–280, https://doi.org/10.5194/esd-11-267-2020, https://doi.org/10.5194/esd-11-267-2020, 2020
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We investigate the changes in the ENSO phenomenon and the alterations of its precipitation-related teleconnections in the CESM-LE. To avoid the disadvantages of the subjective choices of traditional temporal methods, we use an ensemble-based snapshot framework providing instantaneous quantities computed over the ensemble dimension of the simulation. We find that ENSO teleconnections undergo considerable changes, and the ENSO amplitude remarkably increases by 2100.
Robert Vautard, Geert Jan van Oldenborgh, Friederike E. L. Otto, Pascal Yiou, Hylke de Vries, Erik van Meijgaard, Andrew Stepek, Jean-Michel Soubeyroux, Sjoukje Philip, Sarah F. Kew, Cecilia Costella, Roop Singh, and Claudia Tebaldi
Earth Syst. Dynam., 10, 271–286, https://doi.org/10.5194/esd-10-271-2019, https://doi.org/10.5194/esd-10-271-2019, 2019
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The effect of human activities on the probability of winter wind storms like the ones that occurred in Western Europe in January 2018 is analysed using multiple model ensembles. Despite a significant probability decline in observations, we find no significant change in probabilities due to human influence on climate so far. However, such extreme events are likely to be slightly more frequent in the future. The observed decrease in storminess is likely to be due to increasing roughness.
Monica Ionita, Klaus Grosfeld, Patrick Scholz, Renate Treffeisen, and Gerrit Lohmann
Earth Syst. Dynam., 10, 189–203, https://doi.org/10.5194/esd-10-189-2019, https://doi.org/10.5194/esd-10-189-2019, 2019
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Based on a simple statistical model we show that the September sea ice extent has a high predictive skill, up to 4 months ahead, based on previous months' oceanic and atmospheric conditions. Our statistical model skillfully captures the interannual variability of the September sea ice extent and could provide a valuable tool for identifying relevant regions and oceanic and atmospheric parameters that are important for the sea ice development in the Arctic.
Gab Abramowitz, Nadja Herger, Ethan Gutmann, Dorit Hammerling, Reto Knutti, Martin Leduc, Ruth Lorenz, Robert Pincus, and Gavin A. Schmidt
Earth Syst. Dynam., 10, 91–105, https://doi.org/10.5194/esd-10-91-2019, https://doi.org/10.5194/esd-10-91-2019, 2019
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Best estimates of future climate projections typically rely on a range of climate models from different international research institutions. However, it is unclear how independent these different estimates are, and, for example, the degree to which their agreement implies robustness. This work presents a review of the varied and disparate attempts to quantify and address model dependence within multi-model climate projection ensembles.
Nicole S. Lovenduski, Stephen G. Yeager, Keith Lindsay, and Matthew C. Long
Earth Syst. Dynam., 10, 45–57, https://doi.org/10.5194/esd-10-45-2019, https://doi.org/10.5194/esd-10-45-2019, 2019
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This paper shows that the absorption of carbon dioxide by the ocean is predictable several years in advance. This is important because fossil-fuel-derived carbon dioxide is largely responsible for anthropogenic global warming and because carbon dioxide emission management and global carbon cycle budgeting exercises can benefit from foreknowledge of ocean carbon absorption. The promising results from this new forecast system justify the need for additional oceanic observations.
Femke J. M. M. Nijsse and Henk A. Dijkstra
Earth Syst. Dynam., 9, 999–1012, https://doi.org/10.5194/esd-9-999-2018, https://doi.org/10.5194/esd-9-999-2018, 2018
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State-of-the-art climate models sometimes differ in their prediction of key aspects of climate change. The technique of
emergent constraintsuses observations of current climate to improve those predictions, using relationships between different climate models. Our paper first classifies the different uses of the technique, and continues with proposing a mathematical justification for their use. We also highlight when the application of emergent constraints might give biased predictions.
Sebastian Illing, Christopher Kadow, Holger Pohlmann, and Claudia Timmreck
Earth Syst. Dynam., 9, 701–715, https://doi.org/10.5194/esd-9-701-2018, https://doi.org/10.5194/esd-9-701-2018, 2018
Jiawei Liu, Haiming Xu, and Jiechun Deng
Earth Syst. Dynam., 9, 427–439, https://doi.org/10.5194/esd-9-427-2018, https://doi.org/10.5194/esd-9-427-2018, 2018
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A novel method based on
present–futurerelationship in observed climate and model-simulated future climate is applied to give more reliable projections of East Asian summer monsoon intensity and associated precipitation changes at 1.5 and 2 °C warming levels. Projected future changes suggest decreased precipitation over the Meiyu belt and increased precipitation over the high latitudes of East Asia and central China, together with a considerable weakening of EASM intensity.
Michael Wehner, Dáithí Stone, Dann Mitchell, Hideo Shiogama, Erich Fischer, Lise S. Graff, Viatcheslav V. Kharin, Ludwig Lierhammer, Benjamin Sanderson, and Harinarayan Krishnan
Earth Syst. Dynam., 9, 299–311, https://doi.org/10.5194/esd-9-299-2018, https://doi.org/10.5194/esd-9-299-2018, 2018
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The United Nations Framework Convention on Climate Change challenged the scientific community to describe the impacts of stabilizing the global temperature at its 21st Conference of Parties. A specific target of 1.5 °C above preindustrial levels had not been seriously considered by the climate modeling community prior to the Paris Agreement. This paper analyzes heat waves in simulations designed for this target. We find there are reductions in extreme temperature compared to a 2 °C target.
Peter Greve, Lukas Gudmundsson, and Sonia I. Seneviratne
Earth Syst. Dynam., 9, 227–240, https://doi.org/10.5194/esd-9-227-2018, https://doi.org/10.5194/esd-9-227-2018, 2018
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Assessing projected hydroclimatological changes is crucial, but associated with large uncertainties. We statistically assess here the response of precipitation and water availability to global temperature change, enabling us to estimate the significance of drying/wetting tendencies under anthropogenic climate change. We further show that opting for a 1.5 K warming target just slightly influences the mean response but could substantially reduce the risk of experiencing extreme changes.
Dana Ehlert and Kirsten Zickfeld
Earth Syst. Dynam., 9, 197–210, https://doi.org/10.5194/esd-9-197-2018, https://doi.org/10.5194/esd-9-197-2018, 2018
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This study uses a global climate model to explore the extent to which sea level rise due to thermal expansion of the ocean is reversible if the atmospheric concentration of carbon dioxide (CO2) declines. It is found that sea level continues to rise for several decades after atmospheric CO2 starts to decline and does not return to the pre-industrial level for over thousand years after atmospheric CO2 is restored to the pre-industrial concentration.
Michael F. Wehner, Kevin A. Reed, Burlen Loring, Dáithí Stone, and Harinarayan Krishnan
Earth Syst. Dynam., 9, 187–195, https://doi.org/10.5194/esd-9-187-2018, https://doi.org/10.5194/esd-9-187-2018, 2018
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The United Nations Framework Convention on Climate Change invited the scientific community to explore the impacts of a world in which anthropogenic global warming is stabilized at only 1.5 °C above preindustrial average temperatures. We present a projection of future tropical cyclone statistics for both 1.5 and 2.0 °C stabilized warming scenarios using a high-resolution global climate model. We find more frequent and intense tropical cyclones, but a reduction in weaker storms.
Nadja Herger, Gab Abramowitz, Reto Knutti, Oliver Angélil, Karsten Lehmann, and Benjamin M. Sanderson
Earth Syst. Dynam., 9, 135–151, https://doi.org/10.5194/esd-9-135-2018, https://doi.org/10.5194/esd-9-135-2018, 2018
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Users presented with large multi-model ensembles commonly use the equally weighted model mean as a best estimate, ignoring the issue of near replication of some climate models. We present an efficient and flexible tool that finds a subset of models with improved mean performance compared to the multi-model mean while at the same time maintaining the spread and addressing the problem of model interdependence. Out-of-sample skill and reliability are demonstrated using model-as-truth experiments.
Maida Zahid, Richard Blender, Valerio Lucarini, and Maria Caterina Bramati
Earth Syst. Dynam., 8, 1263–1278, https://doi.org/10.5194/esd-8-1263-2017, https://doi.org/10.5194/esd-8-1263-2017, 2017
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The southern part of Pakistan (Sindh province) has been exposed to frequent and intense temperature extremes recently and is highly vulnerable to their impacts due to lack of information on recurrence of extremes. In this paper for the first time we estimated the return levels of daily maximum temperatures and daily maximum wet-bulb temperatures over the different return periods in Sindh, which would help the local administrations to prioritize the regions in terms of adaptations.
James D. Annan and Julia C. Hargreaves
Earth Syst. Dynam., 8, 211–224, https://doi.org/10.5194/esd-8-211-2017, https://doi.org/10.5194/esd-8-211-2017, 2017
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The concept of independence has been frequently raised in climate science, but has rarely been defined and discussed in a theoretically robust and quantifiable manner. Improved understanding of this topic is critical to better understanding of climate change. In this paper, we introduce a unifying approach based on the statistical definition of independence, and illustrate with simple examples how it can be applied to practical questions.
Jozef Vilček, Jaroslav Škvarenina, Jaroslav Vido, Paulína Nalevanková, Radoslav Kandrík, and Jana Škvareninová
Earth Syst. Dynam., 7, 735–744, https://doi.org/10.5194/esd-7-735-2016, https://doi.org/10.5194/esd-7-735-2016, 2016
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Thermal continentality plays an important role not only in the basic characterisation of the climate in particular regions but also in the phytogeographic distribution of plants and ecosystem formation. Due to ongoing climate change, questions surrounding the changes of thermal continentality are very relevant. Our results show that the continentality of Slovakia increased in the period 1961 to 2013; however, this trend is not significant.
Cited articles
Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak,
J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind,
J., Arkin, P., and Nelkin, E.: The Version-2 Global Precipitation
Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J.
Hydrometeorol., 4, 1147–1167,
https://doi.org/10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2, 2003.
Arora, V. K., Scinocca, J. F., Boer, G. J., Christian, J. R., Denman, K. L.,
Flato, G. M., Kharin, V. V., Lee, W. G., and Merryfield, W. J.: Carbon
emission limits required to satisfy future representative concentration
pathways of greenhouse gases, Geophys. Res. Lett., 38, L05805,
https://doi.org/10.1029/2010gl046270, 2011.
Barnett, T. P. and Schlesinger, M. E.: Detecting Changes in Global Climate
Induced by Greenhouse Gases, J. Geophys. Res.-Atmos., 92, 14772–14780,
https://doi.org/10.1029/JD092iD12p14772, 1987.
Barnston, A. G., Li, S. H., Mason, S. J., DeWitt, D. G., Goddard, L., and
Gong, X. F.: Verification of the First 11 Years of IRI's Seasonal Climate
Forecasts, J. Appl. Meteorol. Clim., 49, 493–520, https://doi.org/10.1175/2009jamc2325.1, 2010.
Choi, J., Son, S. W., Ham, Y. G., Lee, J. Y., and Kim, H. M.:
Seasonal-to-Interannual Prediction Skills of Near-Surface Air Temperature in
the CMIP5 Decadal Hindcast Experiments, J. Climate, 29, 1511–1527,
https://doi.org/10.1175/Jcli-D-15-0182.1, 2016.
Choudhury, D., Sharma, A., Sivakumar, B., Sen Gupta, A., and Mehrotra, R.:
On the predictability of SSTA indices from CMIP5 decadal experiments,
Environ. Res. Lett., 10, 074013, https://doi.org/10.1088/1748-9326/10/7/074013, 2015.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P., Kohler, M.,
Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park,
B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thepaut, J. N., and Vitart,
F.: The ERA-Interim reanalysis: configuration and performance of the data
assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828,
2011.
Delworth, T. L., Broccoli, A. J., Rosati, A., Stouffer, R. J., Balaji, V.,
Beesley, J. A., Cooke, W. F., Dixon, K. W., Dunne, J., Dunne, K. A.,
Durachta, J. W., Findell, K. L., Ginoux, P., Gnanadesikan, A., Gordon, C.
T., Griffies, S. M., Gudgel, R., Harrison, M. J., Held, I. M., Hemler, R.
S., Horowitz, L. W., Klein, S. A., Knutson, T. R., Kushner, P. J.,
Langenhorst, A. R., Lee, H. C., Lin, S. J., Lu, J., Malyshev, S. L., Milly,
P. C. D., Ramaswamy, V., Russell, J., Schwarzkopf, M. D., Shevliakova, E.,
Sirutis, J. J., Spelman, M. J., Stern, W. F., Winton, M., Wittenberg, A. T.,
Wyman, B., Zeng, F., and Zhang, R.: GFDL's CM2 global coupled climate
models. Part I: Formulation and simulation characteristics, J. Climate, 19,
643–674, https://doi.org/10.1175/Jcli3629.1, 2006.
Ding, Y. H.: Monsoons over China, Kluwer Academic Publisher,
Dordrecht/Boston/London, 419 pp., 1994.
Ding, Y. H.: Seasonal march of the East-Asian summer monsoon, in: East Asian
Monsoon, edited by: Chang, C.-P., World Scientific, Singapore, 560, 2004.
Ding, Y. H. and Chan, J. C. L.: The East Asian summer monsoon: an overview,
Meteorol. Atmos. Phys., 89, 117–142, https://doi.org/10.1007/s00703-005-0125-z, 2005.
Drosdowsky, W. and Zhang, H.: Verification of Spatial Fields, in: Forecast
Verification: A Practitioner's Guide, in: Atmospheric Science, edited by:
Jolliffe, L. T. and Stephenson, D. B., John Wiley & Sons Ltd, England,
128–129, 2003.
Goddard, L., Mason, S. J., Zebiak, S. E., Ropelewski, C. F., Basher, R., and
Cane, M. A.: Current approaches to seasonal-to-interannual climate
predictions, Int. J. Climatol., 21, 1111–1152, doi;10.1002/joc.636, 2001.
Huang, B. Y., Banzon, V. F., Freeman, E., Lawrimore, J., Liu, W., Peterson,
T. C., Smith, T. M., Thorne, P. W., Woodruff, S. D., and Zhang, H. M.:
Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4). Part I:
Upgrades and Intercomparisons, J. Climate, 28, 911–930,
https://doi.org/10.1175/Jcli-D-14-00006.1, 2015.
Jiang, X. W., Yang, S., Li, Y. Q., Kumar, A., Liu, X. W., Zuo, Z. Y., and
Jha, B.: Seasonal-to-Interannual Prediction of the Asian Summer Monsoon in
the NCEP Climate Forecast System Version 2, J. Climate, 26, 3708–3727,
https://doi.org/10.1175/Jcli-D-12-00437.1, 2013.
Jin, E. K., Kinter, J. L., Wang, B., Park, C. K., Kang, I. S., Kirtman, B.
P., Kug, J. S., Kumar, A., Luo, J. J., Schemm, J., Shukla, J., and Yamagata,
T.: Current status of ENSO prediction skill in coupled ocean–atmosphere
models, Clim. Dynam., 31, 647–664, https://doi.org/10.1007/s00382-008-0397-3, 2008.
Kang, I.-S. and Shukla, J.: Dynamic seasonal prediction and predictability
of the monsoon, in: The Asian Monsoon, edited by: Wang, B., Springer Berlin
Heidelberg, Berlin, Heidelberg, 585–612, 2006.
Kang, I. S. and Yoo, J. H.: Examination of multi-model ensemble seasonal
prediction methods using a simple climate system, Clim. Dynam., 26, 285–294,
https://doi.org/10.1007/s00382-005-0074-8, 2006.
Kim, H. J., Wang, B., and Ding, Q. H.: The Global Monsoon Variability
Simulated by CMIP3 Coupled Climate Models, J. Climate, 21, 5271–5294,
https://doi.org/10.1175/2008jcli2041.1, 2008.
Kim, H. J., Takata, K., Wang, B., Watanabe, M., Kimoto, M., Yokohata, T.,
and Yasunari, T.: Global Monsoon, El Nino, and Their Interannual Linkage
Simulated by MIROC5 and the CMIP3 CGCMs, J. Climate, 24, 5604–5618,
https://doi.org/10.1175/2011jcli4132.1, 2011.
Kim, H. M., Webster, P. J., Curry, J. A., and Toma, V. E.: Asian summer
monsoon prediction in ECMWF System 4 and NCEP CFSv2 retrospective seasonal
forecasts, Clim. Dynam., 39, 2975–2991, https://doi.org/10.1007/s00382-012-1470-5, 2012.
Kirtman, B. and Pirani, A.: The State of the Art of Seasonal Prediction
Outcomes and Recommendations from the First World Climate Research Program
Workshop on Seasonal Prediction, B. Am. Meteorol. Soc., 90, 455–458,
https://doi.org/10.1175/2008bams2707.1, 2009.
Kug, J. S., Kang, I. S., and Choi, D. H.: Seasonal climate predictability
with Tier-one and Tier-two prediction systems, Clim. Dynam., 31, 403–416,
https://doi.org/10.1007/s00382-007-0264-7, 2008.
Lee, J.-Y., Wang, B., Kang, I. S., Shukla, J., Kumar, A., Kug, J. S.,
Schemm, J. K. E., Luo, J. J., Yamagata, T., Fu, X., Alves, O., Stern, B.,
Rosati, T., and Park, C. K.: How are seasonal prediction skills related to
models' performance on mean state and annual cycle?, Clim. Dynam., 35, 267–283,
https://doi.org/10.1007/s00382-010-0857-4, 2010.
Luo, J.-J., Masson, S., Behera, S. K., and Yamagata, T.: Extended ENSO
Predictions Using a Fully Coupled Ocean-Atmosphere Model, J. Climate, 21,
84–93, https://doi.org/10.1175/2007jcli1412.1, 2008.
Magnusson, L., Alonso-Balmaseda, M., Corti, S., Molteni, F., and Stockdale,
T.: Evaluation of forecast strategies for seasonal and decadal forecasts in
presence of systematic model errors, Clim. Dynam., 41, 2393–2409,
https://doi.org/10.1007/s00382-012-1599-2, 2013.
Matei, D., Pohlmann, H., Jungclaus, J., Muller, W., Haak, H., and Marotzke,
J.: Two Tales of Initializing Decadal Climate Prediction Experiments with
the ECHAM5/MPI-OM Model, J. Climate, 25, 8502–8523, https://doi.org/10.1175/Jcli-D-11-00633.1,
2012.
Meehl, G. A. and Teng, H. Y.: Case studies for initialized decadal
hindcasts and predictions for the Pacific region, Geophys. Res. Lett., 39,
L22705, https://doi.org/10.1029/2012gl053423, 2012.
Meehl, G., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J.,
Stouffer, R., and Taylor, K.: The WCRP CMIP3 multi-model dataset: a new era
in climate change research, B. Am. Meteorol. Soc., 88, 1383–1394, 2007.
Meehl, G. A., Goddard, L., Murphy, J., Stouffer, R. J., Boer, G.,
Danabasoglu, G., Dixon, K., Giorgetta, M. A., Greene, A. M., Hawkins, E.,
Hegerl, G., Karoly, D., Keenlyside, N., Kimoto, M., Kirtman, B., Navarra,
A., Pulwarty, R., Smith, D., Stammer, D., and Stockdale, T.: DECADAL
PREDICTION Can It Be Skillful?, B. Am. Meteorol. Soc., 90, 1467–1485,
https://doi.org/10.1175/2009bams2778.1, 2009.
Meehl, G. A., Goddard, L., Boer, G., Burgman, R., Branstator, G., Cassou,
C., Corti, S., Danabasoglu, G., Doblas-Reyes, F., Hawkins, E., Karspeck, A.,
Kimoto, M., Kumar, A., Matei, D., Mignot, J., Msadek, R., Navarra, A.,
Pohlmann, H., Rienecker, M., Rosati, T., Schneider, E., Smith, D., Sutton,
R., Teng, H. Y., van Oldenborgh, G. J., Vecchi, G., and Yeager, S.: DECADAL
CLIMATE PREDICTION An Update from the Trenches, B. Am. Meteorol. Soc., 95,
243–267, https://doi.org/10.1175/Bams-D-12-00241.1, 2014.
Mitchell, J. F. B., Karoly, D. J., Hegerl, G. C., Zwiers, F. W., Allen, M.
R., and Marengo, J.: Detection of Climate Change and Attribution of Causes,
in: Third Assessment Report of the Intergovernmental Panel on Climate
Change., edited by: Houghton, J. T., Griggs, D. J., Noguer, M., van der
Linden, P. J., Dai, X., Maskell, K., and Johnson, C. A., Cambridge
University Press, New York, 470, 2001.
Seo, K. H., Son, J. H., Lee, J. Y., and Park, H. S.: Northern East Asian
Monsoon Precipitation Revealed by Airmass Variability and Its Prediction, J.
Climate, 28, 6221–6233, https://doi.org/10.1175/Jcli-D-14-00526.1, 2015.
Smith, D. M., Eade, R., and Pohlmann, H.: A comparison of full-field and
anomaly initialization for seasonal to decadal climate prediction, Clim. Dynam.,
41, 3325–3338, https://doi.org/10.1007/s00382-013-1683-2, 2013.
Sperber, K. R., Brankovic, C., Deque, M., Frederiksen, C. S., Graham, R.,
Kitoh, A., Kobayashi, C., Palmer, T., Puri, K., Tennant, W., and Volodin,
E.: Dynamical seasonal predictability of the Asian summer monsoon, Mon.
Weather Rev., 129, 2226–2248,
https://doi.org/10.1175/1520-0493(2001)129<2226:Dspota>2.0.Co;2, 2001.
Sperber, K., Annamalai, H., Kang, I. S., Kitoh, A., Moise, A., Turner, A.,
Wang, B., and Zhou, T.: The Asian summer monsoon: an intercomparison of
CMIP5 vs. CMIP3 simulations of the late 20th century, Clim. Dynam., 41,
2711–2744, https://doi.org/10.1007/s00382-012-1607-6, 2013.
Tao, S. Y. and Chen, L. X.: A review of recent research on the East Asian
summer monsoon in China, in: Monsoon Meterology, edited by: Chang, C.-P.
and Krishnamurti, T. N., Oxford University Press, Oxford, 60–92, 1987.
Tatebe, H., Ishii, M., Mochizuki, T., Chikamoto, Y., Sakamoto, T. T.,
Komuro, Y., Mori, M., Yasunaka, S., Watanabe, M., Ogochi, K., Suzuki, T.,
Nishimura, T., and Kimoto, M.: The Initialization of the MIROC Climate
Models with Hydrographic Data Assimilation for Decadal Prediction, J.
Meteorol. Soc. Jpn, 90a, 275–294, https://doi.org/10.2151/jmsj.2012-A14, 2012.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/Bams-D-11-00094.1, 2012.
Tompkins, A. M., Ortiz De Zarate, M. I., Saurral, R. I., Vera, C., Saulo,
C., Merryfield, W. J., Sigmond, M., Lee, W. S., Baehr, J., Braun, A.,
Butler, A., Deque, M., Doblas-Reyes, F. J., Gordon, M., Scaife, A. A.,
Imada, Y., Ishii, M., Ose, T., Kirtman, B., Kumar, A., Muller, W. A.,
Pirani, A., Stockdale, T., Rixen, M., and Yasuda, T.: The Climate-System
Historical Forecast Project: Providing Open Access to Seasonal Forecast
Ensembles from Centers around the Globe, B. Am. Meteorol. Soc., 98,
2293–2302, https://doi.org/10.1175/Bams-D-16-0209.1, 2017.
Vitart, F., Ardilouze, C., Bonet, A., Brookshaw, A., Chen, M., Codorean, C.,
Deque, M., Ferranti, L., Fucile, E., Fuentes, M., Hendon, H., Hodgson, J.,
Kang, H. S., Kumar, A., Lin, H., Liu, G., Liu, X., Malguzzi, P., Mallas, I.,
Manoussakis, M., Mastrangelo, D., MacLachlan, C., McLean, P., Minami, A.,
Mladek, R., Nakazawa, T., Najm, S., Nie, Y., Rixen, M., Robertson, A. W.,
Ruti, P., Sun, C., Takaya, Y., Tolstykh, M., Venuti, F., Waliser, D.,
Woolnough, S., Wu, T., Won, D. J., Xiao, H., Zaripov, R., and Zhang, L.: The
Subseasonal to Seasonal (S2s) Prediction Project Database, B. Am. Meteorol.
Soc., 98, 163–173, https://doi.org/10.1175/Bams-D-16-0017.1, 2017.
Wang, B.: The Asian Monsoon, Springer Science & Business Media, Praxis,
New York, NY, USA, 2006.
Wang, B. and Fan, Z.: Choice of south Asian summer monsoon indices, B. Am.
Meteorol. Soc., 80, 629–638,
https://doi.org/10.1175/1520-0477(1999)080<0629:Cosasm>2.0.Co;2, 1999.
Wang, B. and Xie, X.: Low-Frequency Equatorial Waves in Vertically Sheared
Zonal Flow. Part I: Stable Waves, J. Atmos. Sci., 53, 449–467,
https://doi.org/10.1175/1520-0469(1996)053<0449:lfewiv>2.0.co;2, 1996.
Wang, B., Wu, R. G., and Fu, X. H.: Pacific-East Asian teleconnection: how
does ENSO affect East Asian climate?, J. Climate, 13, 1517–1536, 2000.
Wang, B., Wu, R., and Li, T.: Atmosphere–Warm Ocean Interaction and Its
Impacts on Asian–Australian Monsoon Variation*, J. Climate, 16, 1195–1211,
https://doi.org/10.1175/1520-0442(2003)16<1195:aoiaii>2.0.co;2, 2003.
Wang, B., Kang, I.-S., and Lee, J.-Y.: Ensemble Simulations of
Asian–Australian Monsoon Variability by 11 AGCMs*, J. Climate, 17, 803–818,
https://doi.org/10.1175/1520-0442(2004)017<0803:esoamv>2.0.co;2, 2004.
Wang, B., Ding, Q. H., Fu, X. H., Kang, I. S., Jin, K., Shukla, J., and
Doblas-Reyes, F.: Fundamental challenge in simulation and prediction of
summer monsoon rainfall, Geophys. Res. Lett., 32, L15711, https://doi.org/10.1029/2005gl022734,
2005.
Wang, B., Lee, J.-Y., Kang, I.-S., Shukla, J., Park, C. K., Kumar, A.,
Schemm, J., Cocke, S., Kug, J. S., Luo, J. J., Zhou, T., Wang, B., Fu, X.,
Yun, W. T., Alves, O., Jin, E. K., Kinter, J., Kirtman, B., Krishnamurti,
T., Lau, N. C., Lau, W., Liu, P., Pegion, P., Rosati, T., Schubert, S.,
Stern, W., Suarez, M., and Yamagata, T.: Advance and prospectus of seasonal
prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective
seasonal prediction (1980–2004), Clim. Dynam., 33, 93–117,
https://doi.org/10.1007/s00382-008-0460-0, 2008a.
Wang, B., Wu, Z. W., Li, J. P., Liu, J., Chang, C. P., Ding, Y. H., and Wu,
G. X.: How to measure the strength of the East Asian summer monsoon, J. Climate,
21, 4449–4463, https://doi.org/10.1175/2008jcli2183.1, 2008b.
Wang, B., Xiang, B., and Lee, J. Y.: Subtropical high predictability
establishes a promising way for monsoon and tropical storm predictions, P.
Natl. Acad. Sci. USA, 110, 2718–2722, https://doi.org/10.1073/pnas.1214626110, 2013.
Wang, B., Lee, J. Y., and Xiang, B. Q.: Asian summer monsoon rainfall
predictability: a predictable mode analysis, Clim. Dynam., 44, 61–74,
https://doi.org/10.1007/s00382-014-2218-1, 2015.
Wu, R. G., Hu, Z. Z., and Kirtman, B. P.: Evolution of ENSO-related rainfall
anomalies in East Asia, J. Climate, 16, 3742–3758,
https://doi.org/10.1175/1520-0442(2003)016<3742:Eoerai>2.0.Co;2, 2003.
Wu, T. W., Song, L. C., Li, W. P., Wang, Z. Z., Zhang, H., Xin, X. G.,
Zhang, Y. W., Zhang, L., Li, J. L., Wu, F. H., Liu, Y. M., Zhang, F., Shi,
X. L., Chu, M., Zhang, J., Fang, Y. J., Wang, F., Lu, Y. X., Liu, X. W.,
Wei, M., Liu, Q. X., Zhou, W. Y., Dong, M., Zhao, Q. G., Ji, J. J., Li, L.,
and Zhou, M. Y.: An Overview of BCC Climate System Model Development and
Application for Climate Change Studies, J. Meteorol. Res.-Proc., 28, 34–56,
https://doi.org/10.1007/s13351-014-3041-7, 2014.
Wu, Z. W., Wang, B., Li, J. P., and Jin, F. F.: An empirical seasonal
prediction model of the east Asian summer monsoon using ENSO and NAO, J.
Geophys. Res.-Atmos., 114, D18120, https://doi.org/10.1029/2009jd011733, 2009.
Xiang, B. Q., Yu, W. D., Li, T., and Wang, B.: The critical role of the
boreal summer mean state in the development of the IOD, Geophys. Res. Lett.,
38, L02710, https://doi.org/10.1029/2010gl045851, 2011.
Xiang, B. Q., Wang, B., Yu, W., and Xu, S.: How can anomalous western North
Pacific Subtropical High intensify in late summer?, Geophys. Res. Lett., 40,
2349–2354, https://doi.org/10.1002/grl.50431, 2013.
Yang, S., Zhang, Z. Q., Kousky, V. E., Higgins, R. W., Yoo, S. H., Liang, J.
Y., and Fan, Y.: Simulations and seasonal prediction of the Asian summer
monsoon in the NCEP Climate Forecast System, J. Climate, 21, 3755–3775,
https://doi.org/10.1175/2008jcli1961.1, 2008.
Yim, S. Y., Wang, B., and Xing, W.: Prediction of early summer rainfall over
South China by a physical-empirical model, Clim. Dynam., 43, 1883–1891,
https://doi.org/10.1007/s00382-013-2014-3, 2014.
Zhou, T. J. and Yu, R. C.: Atmospheric water vapor transport associated
with typical anomalous summer rainfall patterns in China, J. Geophys. Res.-Atmos.,
110, D08104, https://doi.org/10.1029/2004jd005413, 2005.
Zhou, T. J., Wu, B., and Wang, B.: How Well Do Atmospheric General Circulation
Models Capture the Leading Modes of the Interannual Variability of the
Asian–Australian Monsoon?, J. Climate, 22, 1159–1173, https://doi.org/10.1175/2008jcli2245.1,
2009.
Short summary
We find that CMIP5 models show more significant improvement in predicting zonal winds with initialisation than without initialisation based on the knowledge that zonal wind indices can be used as potential predictors for the EASM. Given the initial conditions, two models improve the seasonal prediction skill of the EASM, while one model decreases it. The models have different responses to initialisation due to their ability to depict the EASM–ESNO coupled mode.
We find that CMIP5 models show more significant improvement in predicting zonal winds with...
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