Detecting the Causal Effect of Soil Moisture on Precipitation Using Convergent Cross Mapping
暂无分享,去创建一个
Yaning Chen | P. de Maeyer | Jing Yang | W. Duan | Zhi Li | Yunqian Wang
[1] Ethan P. White,et al. rEDM: Applications of Empirical Dynamic Modeling from Time Series , 2018 .
[2] Randal D. Koster,et al. GLACE: The Global Land-Atmosphere Coupling Experiment , 2018 .
[3] Philippe De Maeyer,et al. The Spatiotemporal Response of Soil Moisture to Precipitation and Temperature Changes in an Arid Region, China , 2018, Remote. Sens..
[4] Jian-jun Zhao,et al. Negative soil moisture-precipitation feedback in dry and wet regions , 2018, Scientific Reports.
[5] Yi Y. Liu,et al. ESA CCI Soil Moisture for improved Earth system understanding : State-of-the art and future directions , 2017 .
[6] J. García-Serrano,et al. The Influence of Autumnal Eurasian Snow Cover on Climate and Its Link with Arctic Sea Ice Cover , 2017 .
[7] Bin Zou,et al. Coverage-dependent amplifiers of vegetation change on global water cycle dynamics , 2017 .
[8] A. Kurban,et al. Vegetation changes and land surface feedbacks drive shifts in local temperatures over Central Asia , 2017, Scientific Reports.
[9] R. Dickinson,et al. On the Spatial Gradient of Soil Moisture–Precipitation Feedback Strength in the April 2011 Drought in the Southern Great Plains , 2017 .
[10] P. Dirmeyer,et al. Sensitivity of Numerical Weather Forecasts to Initial Soil Moisture Variations in CFSv2 , 2016 .
[11] S. Seneviratne,et al. Long‐term predictability of soil moisture dynamics at the global scale: Persistence versus large‐scale drivers , 2016 .
[12] G. Salvucci,et al. Empirical evidence of contrasting soil moisture–precipitation feedbacks across the United States , 2016, Science.
[13] George Sugihara,et al. Distinguishing time-delayed causal interactions using convergent cross mapping , 2015, Scientific Reports.
[14] C. Bourque,et al. Relating seasonal dynamics of enhanced vegetation index to the recycling of water in two endorheic river basins in north-west China , 2015 .
[15] M. Scheffer,et al. Causal feedbacks in climate change , 2015 .
[16] Diego G. Miralles,et al. Reconciling spatial and temporal soil moisture effects on afternoon rainfall , 2015, Nature Communications.
[17] George Sugihara,et al. Dynamical evidence for causality between galactic cosmic rays and interannual variation in global temperature , 2015, Proceedings of the National Academy of Sciences.
[18] Di Long,et al. Statistical analysis of the relationship between spring soil moisture and summer precipitation in East China , 2014 .
[19] P. Jones,et al. Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .
[20] W. Langhans,et al. Influence of the background wind on the local soil moisture-precipitation feedback , 2014 .
[21] Ranga B. Myneni,et al. A two-fold increase of carbon cycle sensitivity to tropical temperature variations , 2014, Nature.
[22] C. Taylor,et al. Modeling soil moisture‐precipitation feedback in the Sahel: Importance of spatial scale versus convective parameterization , 2013 .
[23] Pierre Gentine,et al. Surface and atmospheric controls 1 on the onset of moist convection over land , 2013 .
[24] Jerome L. Myers,et al. INTEGRATED ANALYSIS I , 2013 .
[25] George Sugihara,et al. Detecting Causality in Complex Ecosystems , 2012, Science.
[26] Guiling Wang,et al. Impact of Sea Surface Temperature and Soil Moisture on Summer Precipitation in the United States Based on Observational Data , 2011 .
[27] Maosheng Zhao,et al. Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .
[28] Paul A. Dirmeyer,et al. The terrestrial segment of soil moisture–climate coupling , 2011 .
[29] S. Seneviratne,et al. Impact of soil moisture–atmosphere coupling on European climate extremes and trends in a regional climate model , 2011 .
[30] P. Dirmeyer,et al. How Much Do Different Land Models Matter for Climate Simulation? Part II: A Decomposed View of the Land–Atmosphere Coupling Strength , 2010 .
[31] S. Seneviratne,et al. Investigating soil moisture-climate interactions in a changing climate: A review , 2010 .
[32] Lifeng Luo,et al. Contribution of land surface initialization to subseasonal forecast skill: First results from a multi‐model experiment , 2010 .
[33] C. Bretherton,et al. The Soil Moisture–Precipitation Feedback in Simulations with Explicit and Parameterized Convection , 2009 .
[34] Randal D. Koster,et al. Analyzing the Concurrence of Meteorological Droughts and Warm Periods, with Implications for the Determination of Evaporative Regime , 2009 .
[35] Paul A. Dirmeyer,et al. Precipitation, Recycling, and Land Memory: An Integrated Analysis , 2009 .
[36] Taikan Oki,et al. GLACE: The Global Land–Atmosphere Coupling Experiment. Part II: Analysis , 2006, Journal of Hydrometeorology.
[37] D. Lawrence,et al. Regions of Strong Coupling Between Soil Moisture and Precipitation , 2004, Science.
[38] Paolo D'Odorico,et al. Preferential states in soil moisture and climate dynamics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[39] Randal D. Koster,et al. Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data , 2004 .
[40] R. Koster,et al. Observational evidence that soil moisture variations affect precipitation , 2003 .
[41] P. Milly,et al. A Model-Based Investigation of Soil Moisture Predictability and Associated Climate Predictability , 2002 .
[42] Robert K. Kaufmann,et al. Investigating soil moisture feedbacks on precipitation with tests of Granger causality , 2002 .
[43] Randal D. Koster,et al. Soil Moisture Memory in Climate Models , 2001 .
[44] Moti Segal,et al. Sensitivity of forecast rainfall in a Texas convective system to soil moisture and convective parameterization , 2000 .
[45] R. Koster,et al. Variance and Predictability of Precipitation at Seasonal-to-Interannual Timescales , 2000 .
[46] Elfatih A. B. Eltahir,et al. An analysis of the soil moisture‐rainfall feedback, based on direct observations from Illinois , 1997 .
[47] George Sugihara,et al. Nonlinear forecasting for the classification of natural time series , 1994, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.
[48] George Sugihara,et al. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series , 1990, Nature.
[49] D. Rand. Dynamical Systems and Turbulence , 1982 .
[50] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[51] Norbert Ritter,et al. State of the Art and Future Directions , 2019, Real-Time & Stream Data Management.
[52] E. Yuliwati,et al. A Review , 2019, Current Trends and Future Developments on (Bio-) Membranes.
[53] Lisa V. Alexander,et al. Climate science: Extreme heat rooted in dry soils , 2011 .
[54] F. Takens. Detecting strange attractors in turbulence , 1981 .