[1]
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Causal effect of the tropical Pacific sea surface temperature on the Upper Colorado River Basin spring precipitation
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Climate Dynamics,
2022 |
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[2]
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A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections
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Environmental Data …,
2022 |
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[3]
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Effectiveness of causality-based predictor selection for statistical downscaling: a case study of rainfall in an Ecuadorian Andes basin
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Patiño, E Samaniego, L Campozano… - Theoretical and Applied …,
2022 |
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[4]
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Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network
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Advances in Climate …,
2022 |
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[5]
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Assessing the feedback relationship between vegetation and soil moisture over the Loess Plateau, China
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Ecological …,
2022 |
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[6]
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Generative formalism of causality quantifiers for processes
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Physical Review E,
2022 |
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[7]
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Social contacts and transmission of COVID-19 in British Columbia, Canada
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Frontiers in Public …,
2022 |
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[8]
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Quantifying the lagged effects of climate factors on vegetation growth in 32 major cities of China
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Ecological …,
2021 |
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[9]
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Modes of climate variability and their relationships with interhemispheric temperature asymmetry: a Granger causality analysis
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2021 |
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[10]
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Spatio-Temporal Patterns of Mass Changes in Himalayan Glaciated Region from EOF Analyses of GRACE Data
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2021 |
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[11]
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Anthropogenic climate change: the impact of the global carbon budget
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Theoretical and Applied Climatology,
2021 |
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[12]
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Learning networks from non-invasive observations
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2021 |
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[13]
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Learning networks via non-invasive observations
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2021 |
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[14]
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Analyzing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study
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2021 |
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[15]
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Granger causality analysis of rainfall and temperature time series
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International Journal of Multidisciplinary Research and Growth Evaluation,
2021 |
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[16]
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Transfer entropies within dynamical effects framework
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2020 |
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[17]
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Neural-Network modelling for meteorological and climatological applications
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2020 |
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[18]
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The strategy of model building in climate science
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2020 |
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[19]
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Analyzing the Arctic Feedback Mechanism between Sea Ice and Low-Level Clouds Using 34 Years of Satellite Observations
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2020 |
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[20]
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Impact of rural depopulation and climate change on vegetation, runoff and sediment load in the Gan River basin, China
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2020 |
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[21]
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New Insights on Subseasonal Arctic–Midlatitude Causal Connections from a Regularized Regression Model
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2020 |
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[22]
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Shayetet-13, the Kishon River and Climate Change-Who is Responsible for Environmental Hazards?
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2019 |
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[23]
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Granger causality of the local Hadley cell and large-scale cloud cover over South Africa
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2019 |
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[24]
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Interactive Effects of Climatic Factors on Seasonal Vegetation Dynamics in the Central Loess Plateau, China
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2019 |
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[25]
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Spatio-Temporal Reverse Semantic Kriging
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2019 |
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[26]
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Time-frequency causal inference uncovers anomalous events in environmental systems
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2019 |
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[27]
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CAUSALITY ANALYSIS IN CLIMATE TIME SERIES USING WINDOWED REGRESSION
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2019 |
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[28]
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PRECIPITATION AND CLIMATE VARIABLES: A STUDY OF ISLAMABAD CITY.
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2019 |
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[29]
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Approaching Arctic-Midlatitude Dynamics from a Two-Way Feedback Perspective
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2019 |
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[30]
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A data-guided insight into global climate-vegetation dynamics
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2018 |
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[31]
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Вклад радиационного воздействия парниковых газов и атлантической мультидесятилетней осцилляции в тренды приповерхностной температуры
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2018 |
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[32]
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Evidence that global evapotranspiration makes a substantial contribution to the global atmospheric temperature slowdown
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Theoretical and Applied Climatology,
2018 |
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[33]
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Anthropogenic influence on global warming for effective cost-benefit analysis: a machine learning perspective
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Economia e Politica Industriale,
2018 |
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[34]
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Human-induced climate change: the impact of land-use change
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Theoretical and Applied Climatology,
2018 |
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[35]
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Detecting Granger-causal relationships in global spatio-temporal climate data via multi-task learning
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2018 |
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[36]
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Causality from long‐lived radiative forcings to the climate trend
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Annals of the New York Academy of Sciences,
2018 |
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[37]
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Contribution of Greenhouse Gas Radiative Forcing and Atlantic Multidecadal Oscillation to Surface Air Temperature Trends
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Russian Meteorology and Hydrology,
2018 |
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[38]
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Vegetation‐Climate Interactions on the Loess Plateau: A Nonlinear Granger Causality Analysis
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JGR Atmospheres,
2018 |
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[39]
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Transient and equilibrium causal effects in coupled oscillators
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2018 |
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[40]
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Memory matters: A case for Granger causality in climate variability studies
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2018 |
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[41]
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Causal inference in geosciences with kernel sensitivity maps
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2017 |
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[42]
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Coping with dating errors in causality estimation
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A LETTERS JOURNAL EXPLORING THE FRONTIERS OF PHYSSICS,
2017 |
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[43]
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A non-linear Granger-causality framework to investigate climate–vegetation dynamics
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Geoscientific Model Development,
2017 |
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[44]
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EXAMINING FOR GRANGER CAUSALITY BETWEEN CLIMATE VARIABLES OF DIFFERENT CITIES OF PAKISTAN
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2017 |
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[45]
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Climate model pluralism beyond dynamical ensembles
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Wiley Interdisciplinary Reviews: Climate Change,
2017 |
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[46]
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Spatiotemporal optimization of Granger causality methods for climate change attribution
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2017 |
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[47]
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When Lag Regressions Fail: A Tale of Two Techniques
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2017 |
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[48]
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ВЗАИМОСВЯЗЬ ВАРИАЦИЙ ГЛОБАЛЬНОЙ ПРИПОВЕРХНОСТНОЙ ТЕМПЕРАТУРЫ С ПРОЦЕССАМИ ЭЛЬ-НИНЬО/ЛА-НИНЬЯ И АТЛАНТИЧЕСКИМ …
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2016 |
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[49]
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The influence of external forcing on subdecadal variability of regional surface temperature in CMIP5 simulations of the last millennium
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Journal of Geophysical Research: Atmospheres,
2016 |
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[50]
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Relation between the variations in the global surface temperature, El Niño/La Niña phenomena, and the Atlantic Multidecadal Oscillation
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Doklady Earth Sciences,
2016 |
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[51]
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Attribution of precipitation changes on ground–air temperature offset: Granger causality analysis
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International Journal of Earth Sciences,
2016 |
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[52]
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Influence of dust storms on atmospheric particulate pollution and acid rain in northern China
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Air Quality, Atmosphere & Health,
2016 |
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[53]
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CAPTURING SYSTEM DYNAMICS USING COMPLEX NET-WORKS AND GRANGER CAUSALITY ANALYSIS: APPLICA-TION TO ENVIRONMENTAL DATA
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2016 |
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[54]
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Exploring spatial dependency of meteorological attributes for multivariate analysis: A granger causality test approach
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Advances in Pattern Recognition (ICAPR), 2015 Eighth International Conference on,
2015 |
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[55]
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A multi-approach strategy in climate attribution studies: Is it possible to apply a robustness framework?
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Environmental Science & Policy,
2015 |
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[56]
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Relating Granger causality to long-term causal effects
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Physical Review E,
2015 |
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[57]
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Spatiotemporal Analysis of Seawatch Buoy Meteorological Observations
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Environmental Processes,
2015 |
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[58]
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Granger causality from changes in level of atmospheric CO 2 to global surface temperature and the El Niño–Southern Oscillation, and a candidate mechanism in global photosynthesis
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Atmospheric Chemistry and Physics,
2015 |
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[59]
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Granger causality from changes in level of atmospheric CO 2 to global surface temperature and the El Niño–Southern Oscillation, and a candidate mechanism …
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2015 |
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[60]
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Granger causality from changes in level of atmospheric CO2 to global surface temperature and the El Niño–Southern Oscillation, and a candidate …
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2015 |
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[61]
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Can a multi-approach investigation of the climate system lead to more robust results in attribution studies?
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FORECASTING THE FUTURE,
2014 |
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[62]
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On the role of sulfates in recent global warming: a Granger causality analysis
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International Journal of Climatology,
2014 |
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[63]
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CAPTURING SYSTEM DYNAMICS USING COMPLEX NET-WORKS AND GRANGER CAUSALITY ANALYSIS: APPLICA-TION TO ENVIRONMENTAL …
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A Charakopoulos, G Katsouli
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