| Year |
Citation |
Score |
| 2023 |
Li Y, Tang Y, Wang S, Toumi R, Song X, Wang Q. Recent increases in tropical cyclone rapid intensification events in global offshore regions. Nature Communications. 14: 5167. PMID 37620321 DOI: 10.1038/s41467-023-40605-2 |
0.303 |
|
| 2021 |
Li X, Tang Y. Predictable Mode of Tropical Intraseasonal Variability in Boreal Summer Journal of Climate. 34: 3355-3366. DOI: 10.1175/jcli-d-20-0630.1 |
0.389 |
|
| 2020 |
Fan H, Wang L, Zhang Y, Tang Y, Duan W, Wang L. Predictable Patterns of Wintertime Surface Air Temperature in Northern Hemisphere and Their Predictability Sources in the SEAS5 Journal of Climate. 33: 10743-10754. DOI: 10.1175/JCLI-D-20-0542.1 |
0.373 |
|
| 2020 |
Tan X, Tang Y, Lian T, Zhang S, Liu T, Chen D. Effects of Semistochastic Westerly Wind Bursts on ENSO Predictability Geophysical Research Letters. 47. DOI: 10.1029/2019Gl086828 |
0.388 |
|
| 2020 |
Gao Y, Liu T, Song X, Shen Z, Tang Y, Chen D. An extension of LDEO5 model for ENSO ensemble predictions Climate Dynamics. 1-13. DOI: 10.1007/S00382-020-05428-7 |
0.514 |
|
| 2020 |
Li X, Tang Y, Zhou L, Yao Z, Shen Z, Li J, Liu T. Optimal error analysis of MJO prediction associated with uncertainties in sea surface temperature over Indian Ocean Climate Dynamics. 54: 4331-4350. DOI: 10.1007/S00382-020-05230-5 |
0.486 |
|
| 2020 |
Tan X, Tang Y, Lian T, Yao Z, Li X, Chen D. A study of the effects of westerly wind bursts on ENSO based on CESM Climate Dynamics. 54: 885-899. DOI: 10.1007/S00382-019-05034-2 |
0.483 |
|
| 2019 |
Zhang C, Lian T, Tang Y, Ying J, Li J. Uncertainty of the Linear Trend in the Zonal SST Gradient Across the Equatorial Pacific Since 1881 Atmosphere-Ocean. 57: 61-72. DOI: 10.1080/07055900.2018.1558044 |
0.368 |
|
| 2019 |
Yang D, Yang X, Ye D, Sun X, Fang J, Chu C, Feng T, Jiang Y, Liang J, Ren X, Zhang Y, Tang Y. Reply to Comment by Michael K. Tippett on “On the Relationship Between Probabilistic and Deterministic Skills in Dynamical Seasonal Climate Prediction” Journal of Geophysical Research. 124: 3982-3983. DOI: 10.1029/2019Jd030289 |
0.309 |
|
| 2019 |
Yao Z, Tang Y, Lian T, Xu D, Li X, Shen Z, Zheng J, Zhang B, Zhang C. Roles of atmospheric physics and model resolution in the simulation of two types of El Niño Ocean Modelling. 143: 101468. DOI: 10.1016/J.Ocemod.2019.101468 |
0.37 |
|
| 2019 |
Wang Q, Pierini S, Tang Y. Parameter sensitivity analysis of the short-range prediction of Kuroshio extension transition processes using an optimization approach Theoretical and Applied Climatology. 138: 1481-1492. DOI: 10.1007/S00704-019-02911-Y |
0.398 |
|
| 2019 |
Liu T, Tang Y, Yang D, Cheng Y, Song X, Hou Z, Shen Z, Gao Y, Wu Y, Li X, Zhang B. The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years Climate Dynamics. 53: 6947-6960. DOI: 10.1007/S00382-019-04967-Y |
0.449 |
|
| 2019 |
Wu Y, Tang Y. Seasonal predictability of the tropical Indian Ocean SST in the North American multimodel ensemble Climate Dynamics. 53: 3361-3372. DOI: 10.1007/S00382-019-04709-0 |
0.488 |
|
| 2018 |
Lian T, Chen D, Ying J, Huang P, Tang Y. Tropical Pacific trends under global warming: El Niño-like or La Niña-like? National Science Review. 5: 810-812. DOI: 10.1093/Nsr/Nwy134 |
0.362 |
|
| 2018 |
Tang Y, Zhang R, Liu T, Duan W, Yang D, Zheng F, Ren H, Lian T, Gao C, Chen D, Mu M. Progress in ENSO prediction and predictability study National Science Review. 5: 826-839. DOI: 10.1093/Nsr/Nwy105 |
0.48 |
|
| 2018 |
Song X, Tang Y, Chen D. Decadal Variation in IOD Predictability During 1881–2016 Geophysical Research Letters. 45. DOI: 10.1029/2018Gl080221 |
0.408 |
|
| 2018 |
Lian T, Chen D, Tang Y, Liu X, Feng J, Zhou L. Linkage Between Westerly Wind Bursts and Tropical Cyclones Geophysical Research Letters. 45. DOI: 10.1029/2018Gl079745 |
0.308 |
|
| 2018 |
Yang D, Yang X, Ye D, Sun X, Fang J, Chu C, Feng T, Jiang Y, Liang J, Ren X, Zhang Y, Tang Y. On the Relationship Between Probabilistic and Deterministic Skills in Dynamical Seasonal Climate Prediction Journal of Geophysical Research. 123: 5261-5283. DOI: 10.1029/2017Jd028002 |
0.442 |
|
| 2018 |
Liu D, Duan W, Feng R, Tang Y. Summer Predictability Barrier of Indian Ocean Dipole Events and Corresponding Error Growth Dynamics Journal of Geophysical Research. 123: 3635-3650. DOI: 10.1029/2017Jc013739 |
0.393 |
|
| 2018 |
Song X, Chen D, Tang Y, Liu T. An intermediate coupled model for the tropical ocean-atmosphere system Science China Earth Sciences. 61: 1859-1874. DOI: 10.1007/S11430-018-9274-6 |
0.565 |
|
| 2018 |
Li J, Liang C, Tang Y, Liu X, Lian T, Shen Z, Li X. Impacts of the IOD-associated temperature and salinity anomalies on the intermittent equatorial undercurrent anomalies Climate Dynamics. 51: 1391-1409. DOI: 10.1007/S00382-017-3961-X |
0.41 |
|
| 2018 |
Lian T, Tang Y, Zhou L, Islam SU, Zhang C, Li X, Ling Z. Westerly wind bursts simulated in CAM4 and CCSM4 Climate Dynamics. 50: 1353-1371. DOI: 10.1007/S00382-017-3689-7 |
0.502 |
|
| 2018 |
Lian T, Shen Z, Ying J, Tang Y, Li J, Ling Z. Investigating the Uncertainty in Global SST Trends Due to Internal Variations Using an Improved Trend Estimator Journal of Geophysical Research. 123: 1877-1895. DOI: 10.1002/2017Jc013410 |
0.324 |
|
| 2017 |
Wang Q, Tang Y, Dijkstra HA. An optimization strategy for identifying parameter sensitivity in atmospheric and oceanic models Monthly Weather Review. 145: 3293-3305. DOI: 10.1175/Mwr-D-16-0393.1 |
0.395 |
|
| 2017 |
Zhou L, Murtugudde R, Chen D, Tang Y. Seasonal and Interannual Variabilities of the Central Indian Ocean Mode Journal of Climate. 30: 6505-6520. DOI: 10.1175/Jcli-D-16-0616.1 |
0.384 |
|
| 2017 |
Zhou L, Murtugudde R, Chen D, Tang Y. A Central Indian Ocean Mode and Heavy Precipitation during the Indian Summer Monsoon Journal of Climate. 30: 2055-2067. DOI: 10.1175/Jcli-D-16-0347.1 |
0.436 |
|
| 2017 |
Wang Q, Tang Y, Pierini S, Mu M. Effects of Singular-Vector-Type Initial Errors on the Short-Range Prediction of Kuroshio Extension Transition Processes Journal of Climate. 30: 5961-5983. DOI: 10.1175/Jcli-D-16-0305.1 |
0.364 |
|
| 2017 |
Qi Q, Duan W, Zheng F, Tang Y. On the “spring predictability barrier” for strong El Niño events as derived from an intermediate coupled model ensemble prediction system Science China Earth Sciences. 60: 1614-1631. DOI: 10.1007/s11430-017-9087-2 |
0.358 |
|
| 2017 |
Lian T, Chen D, Tang Y. Genesis of the 2014–2016 El Niño events Science China-Earth Sciences. 60: 1589-1600. DOI: 10.1007/S11430-016-8315-5 |
0.385 |
|
| 2017 |
Lian T, Tang Y. Frequency-specified EOF analysis and its application to Pacific decadal oscillation Science China-Earth Sciences. 60: 341-347. DOI: 10.1007/S11430-016-0141-X |
0.321 |
|
| 2017 |
Liu H, Tang Y, Chen D, Lian T. Predictability of the Indian Ocean Dipole in the coupled models Climate Dynamics. 48: 2005-2024. DOI: 10.1007/S00382-016-3187-3 |
0.485 |
|
| 2016 |
Li J, Liang C, Tang Y, Dong C, Chen D, Liu X, Jin W. A new dipole index of the salinity anomalies of the tropical Indian Ocean. Scientific Reports. 6: 24260. PMID 27052319 DOI: 10.1038/Srep24260 |
0.414 |
|
| 2016 |
Islam SU, Tang Y. Simulation of different types of ENSO impacts on South Asian Monsoon in CCSM4 Climate Dynamics. 1-19. DOI: 10.1007/S00382-016-3117-4 |
0.409 |
|
| 2016 |
Li X, Tang Y, Zhou L, Chen D, Yao Z, Islam SU. Assessment of Madden–Julian oscillation simulations with various configurations of CESM Climate Dynamics. 47: 2667-2690. DOI: 10.1007/S00382-016-2991-0 |
0.389 |
|
| 2016 |
Yao Z, Tang Y, Chen D, Zhou L, Li X, Lian T, Islam SU. Assessment of the simulation of Indian Ocean Dipole in the CESM—Impacts of atmospheric physics and model resolution Journal of Advances in Modeling Earth Systems. 8: 1932-1952. DOI: 10.1002/2016Ms000700 |
0.423 |
|
| 2016 |
Yang D, Yang XQ, Xie Q, Zhang Y, Ren X, Tang Y. Probabilistic versus deterministic skill in predicting the western North Pacific-East Asian summer monsoon variability with multimodel ensembles Journal of Geophysical Research: Atmospheres. 121: 1079-1103. DOI: 10.1002/2015Jd023781 |
0.499 |
|
| 2015 |
Chen D, Lian T, Fu C, Cane MA, Tang Y, Murtugudde R, Song X, Wu Q, Zhou L. Strong influence of westerly wind bursts on El Niño diversity Nature Geoscience. 8: 339-345. DOI: 10.1038/Ngeo2399 |
0.314 |
|
| 2015 |
Islam SU, Tang Y, Jackson PL. Optimal error growth of South Asian monsoon forecast associated with the uncertainties in the sea surface temperature Climate Dynamics. DOI: 10.1007/S00382-015-2686-Y |
0.466 |
|
| 2015 |
Tang Y, Chen D, Yan X. Potential predictability of Northern America surface temperature in AGCMs and CGCMs Climate Dynamics. 45: 353-374. DOI: 10.1007/S00382-014-2335-X |
0.392 |
|
| 2015 |
Shen Z, Tang Y. A modified ensemble Kalman particle filter for non-Gaussian systems with nonlinear measurement functions Journal of Advances in Modeling Earth Systems. 7: 50-66. DOI: 10.1002/2014Ms000373 |
0.304 |
|
| 2014 |
Manoj KK, Tang Y, Deng Z, Chen D, Cheng Y. Reduced-Rank Sigma-Point Kalman Filter and Its Application in ENSO Model Journal of Atmospheric and Oceanic Technology. 31: 2350-2366. DOI: 10.1175/Jtech-D-13-00172.1 |
0.319 |
|
| 2014 |
Tang Y, Chen D, Yan X. Potential Predictability of North American Surface Temperature. Part I: Information-Based versus Signal-To-Noise-Based Metrics Journal of Climate. 27: 1578-1599. DOI: 10.1175/Jcli-D-12-00654.1 |
0.439 |
|
| 2014 |
Lian T, Chen D, Tang Y, Jin B. A theoretical investigation of the tropical Indo-Pacific tripole mode Science China-Earth Sciences. 57: 174-188. DOI: 10.1007/S11430-013-4762-7 |
0.474 |
|
| 2014 |
Lian T, Chen D, Tang Y, Wu Q. Effects of westerly wind bursts on El Niño: A new perspective Geophysical Research Letters. 41: 3522-3527. DOI: 10.1002/2014Gl059989 |
0.411 |
|
| 2014 |
Tang Y, Deng Z, Manoj KK, Chen D. A practical scheme of the sigma‐point Kalman filter for high‐dimensional systems Journal of Advances in Modeling Earth Systems. 6: 21-37. DOI: 10.1002/2013Ms000255 |
0.348 |
|
| 2013 |
Merryfield WJ, Lee WS, Boer GJ, Kharin VV, Scinocca JF, Flato GM, Ajayamohan RS, Fyfe JC, Tang Y, Polavarapu S. The canadian seasonal to interannual prediction system. part I: Models and initialization Monthly Weather Review. 141: 2910-2945. DOI: 10.1175/Mwr-D-12-00216.1 |
0.51 |
|
| 2013 |
Younas W, Tang Y. PNA Predictability at Various Time Scales Journal of Climate. 26: 9090-9114. DOI: 10.1175/Jcli-D-12-00609.1 |
0.483 |
|
| 2013 |
Wu Z, Lin H, Li Y, Tang Y. Seasonal Prediction of Killing-Frost Frequency in South-Central Canada during the Cool/Overwintering-Crop Growing Season Journal of Applied Meteorology and Climatology. 52: 102-113. DOI: 10.1175/Jamc-D-12-059.1 |
0.408 |
|
| 2013 |
Islam Su, Tang Y, Jackson PL. Asian monsoon simulations by Community Climate Models CAM4 and CCSM4 Climate Dynamics. 41: 2617-2642. DOI: 10.1007/S00382-013-1752-6 |
0.403 |
|
| 2013 |
Yan X, Tang Y. An analysis of multi-model ensembles for seasonal climate predictions Quarterly Journal of the Royal Meteorological Society. 139: 1179-1198. DOI: 10.1002/Qj.2020 |
0.515 |
|
| 2012 |
Tang Y, An S, Duan W. Climate variability and predictability at various time scales Advances in Meteorology. 2012: 857831. DOI: 10.1155/2012/857831 |
0.337 |
|
| 2012 |
Deng Z, Tang Y, Chen D, Wang G. A Time-Averaged Covariance Method in the EnKF for Argo Data Assimilation Atmosphere-Ocean. 50: 129-145. DOI: 10.1080/07055900.2012.719823 |
0.307 |
|
| 2012 |
Yang D, Tang Y, Zhang Y, Yang X. Information-based potential predictability of the Asian summer monsoon in a coupled model Journal of Geophysical Research. 117. DOI: 10.1029/2011Jd016775 |
0.507 |
|
| 2011 |
Tang Y, Deng Z. Bred Vector and ENSO Predictability in a Hybrid Coupled Model during the Period 1881–2000 Journal of Climate. 24: 298-314. DOI: 10.1175/2010Jcli3491.1 |
0.461 |
|
| 2011 |
Cheng Y, Tang Y, Chen D. Relationship between predictability and forecast skill of ENSO on various time scales Journal of Geophysical Research. 116. DOI: 10.1029/2011Jc007249 |
0.438 |
|
| 2011 |
Deng Z, Tang Y, Freeland HJ. Evaluation of several model error schemes in the EnKF assimilation: Applied to Argo profiles in the Pacific Ocean Journal of Geophysical Research. 116. DOI: 10.1029/2011Jc006942 |
0.367 |
|
| 2010 |
Cheng Y, Tang Y, Jackson P, Chen D, Deng Z. Ensemble Construction and Verification of the Probabilistic ENSO Prediction in the LDEO5 Model Journal of Climate. 23: 5476-5497. DOI: 10.1175/2010Jcli3453.1 |
0.476 |
|
| 2010 |
Tang Y, Deng Z. Low-dimensional nonlinearity of ENSO and its impact on predictability Physica D: Nonlinear Phenomena. 239: 258-268. DOI: 10.1016/J.Physd.2009.11.006 |
0.44 |
|
| 2010 |
Deng Z, Tang Y, Wang G. Assimilation of Argo temperature and salinity profiles using a bias-aware localized EnKF system for the Pacific Ocean Ocean Modelling. 35: 187-205. DOI: 10.1016/J.Ocemod.2010.07.007 |
0.484 |
|
| 2010 |
Cheng Y, Tang Y, Jackson P, Chen D, Zhou X, Deng Z. Further analysis of singular vector and ENSO predictability in the Lamont model—Part II: singular value and predictability Climate Dynamics. 35: 827-840. DOI: 10.1007/S00382-009-0728-Z |
0.403 |
|
| 2010 |
Cheng Y, Tang Y, Zhou X, Jackson P, Chen D. Further analysis of singular vector and ENSO predictability in the Lamont model—Part I: singular vector and the control factors Climate Dynamics. 35: 807-826. DOI: 10.1007/S00382-009-0595-7 |
0.379 |
|
| 2009 |
Ambadan JT, Tang Y. Sigma-Point Kalman Filter Data Assimilation Methods for Strongly Nonlinear Systems Journal of the Atmospheric Sciences. 66: 261-285. DOI: 10.1175/2008Jas2681.1 |
0.323 |
|
| 2009 |
Deng Z, Tang Y. Reconstructing the Past Wind Stresses over the Tropical Pacific Ocean from 1875 to 1947 Journal of Applied Meteorology and Climatology. 48: 1181-1198. DOI: 10.1175/2008Jamc2049.1 |
0.447 |
|
| 2009 |
Zhou X, Tang Y, Deng Z. Assimilation of historical SST data for long-term ENSO retrospective forecasts Ocean Modelling. 30: 143-154. DOI: 10.1016/J.Ocemod.2009.06.015 |
0.466 |
|
| 2009 |
Deng Z, Tang Y, Zhou X. The retrospective prediction of El Niño-southern oscillation from 1881 to 2000 by a hybrid coupled model: (I) Sea surface temperature assimilation with ensemble Kalman filter Climate Dynamics. 32: 397-413. DOI: 10.1007/S00382-008-0399-1 |
0.495 |
|
| 2009 |
Deng Z, Tang Y. The retrospective prediction of ENSO from 1881 to 2000 by a hybrid coupled model: (II) Interdecadal and decadal variations in predictability Climate Dynamics. 32: 415-428. DOI: 10.1007/S00382-008-0398-2 |
0.508 |
|
| 2008 |
Tang Y, Yu B. An Analysis of Nonlinear Relationship between the MJO and ENSO Journal of the Meteorological Society of Japan. 86: 867-881. DOI: 10.2151/Jmsj.86.867 |
0.419 |
|
| 2008 |
Tang Y, Deng Z, Zhou X, Cheng Y, Chen D. Interdecadal Variation of ENSO Predictability in Multiple Models Journal of Climate. 21: 4811-4833. DOI: 10.1175/2008Jcli2193.1 |
0.509 |
|
| 2008 |
Tang Y, Kleeman R, Moore AM. Comparison of information-based measures of forecast uncertainty in ensemble ENSO prediction Journal of Climate. 21: 230-247. DOI: 10.1175/2007Jcli1719.1 |
0.447 |
|
| 2008 |
Tang Y, Yu B. MJO and its relationship to ENSO Journal of Geophysical Research. 113. DOI: 10.1029/2007Jd009230 |
0.437 |
|
| 2008 |
Tang Y, Lin H, Moore AM. Measuring the potential predictability of ensemble climate predictions Journal of Geophysical Research Atmospheres. 113. DOI: 10.1029/2007Jd008804 |
0.481 |
|
| 2008 |
Zhou X, Tang Y, Deng Z. The impact of atmospheric nonlinearities on the fastest growth of ENSO prediction error Climate Dynamics. 30: 519-531. DOI: 10.1007/S00382-007-0302-5 |
0.492 |
|
| 2007 |
Tang Y, Lin H, Derome J, Tippett MK. A predictability measure applied to seasonal predictions of the Arctic Oscillation Journal of Climate. 20: 4733-4750. DOI: 10.1175/Jcli4276.1 |
0.447 |
|
| 2006 |
Moore AM, Zavala-Garay J, Tang Y, Kleeman R, Weaver AT, Vialard J, Sahami K, Anderson DLT, Fisher M. Optimal forcing patterns for coupled models of ENSO Journal of Climate. 19: 4683-4699. DOI: 10.1175/Jcli3870.1 |
0.343 |
|
| 2006 |
Tang Y, Kleeman R, Miller S. ENSO predictability of a fully coupled GCM model using singular vector analysis Journal of Climate. 19: 3361-3377. DOI: 10.1175/Jcli3771.1 |
0.434 |
|
| 2005 |
Tang Y, Kleeman R, Moore AM. Reliability of ENSO dynamical predictions Journal of the Atmospheric Sciences. 62: 1770-1791. DOI: 10.1175/Jas3445.1 |
0.43 |
|
| 2004 |
Tang Y, Kleeman R, Moore AM. SST Assimilation Experiments in a Tropical Pacific Ocean Model Journal of Physical Oceanography. 34: 623-642. DOI: 10.1175/3518.1 |
0.369 |
|
| 2004 |
Tippett MK, Kleeman R, Tang Y. Measuring the potential utility of seasonal climate predictions Geophysical Research Letters. 31: 1-4. DOI: 10.1029/2004Gl021575 |
0.446 |
|
| 2004 |
Tang Y, Kleeman R, Moore AM. A simple method for estimating variations in the predictability of ENSO Geophysical Research Letters. 31. DOI: 10.1029/2004Gl020673 |
0.469 |
|
| 2004 |
Tang Y, Kleeman R, Moore AM, Vialard J, Weaver A. An off‐line, numerically efficient initialization scheme in an oceanic general circulation model for El Niño–Southern Oscillation prediction Journal of Geophysical Research. 109: 1-15. DOI: 10.1029/2003Jc002159 |
0.441 |
|
| 2003 |
Tang Y, Hsieh WW. ENSO simulation and prediction in a hybrid coupled model with data assimilation Journal of the Meteorological Society of Japan. 81: 1-19. DOI: 10.2151/Jmsj.81.1 |
0.692 |
|
| 2003 |
Kleeman R, Tang Y, Moore AM. The Calculation of Climatically Relevant Singular Vectors in the Presence of Weather Noise as Applied to the ENSO Problem Journal of the Atmospheric Sciences. 60: 2856-2868. DOI: 10.1175/1520-0469(2003)060<2856:Tcocrs>2.0.Co;2 |
0.422 |
|
| 2003 |
Tang Y, Kleeman R, Moore AM, Weaver A, Vialard J. The use of ocean reanalysis products to initialize ENSO predictions Geophysical Research Letters. 30: 1694. DOI: 10.1029/2003Gl017664 |
0.484 |
|
| 2003 |
Tang Y, Hsieh WW. Nonlinear modes of decadal and interannual variability of the subsurface thermal structure in the Pacific Ocean Journal of Geophysical Research C: Oceans. 108: 29-1. DOI: 10.1029/2001Jc001236 |
0.611 |
|
| 2002 |
Tang Y, Kleeman R. A new strategy for assimilating SST data for ENSO predictions Geophysical Research Letters. 29. DOI: 10.1029/2002Gl014860 |
0.461 |
|
| 2002 |
Tang Y, Hsieh W. Hybrid coupled models of the tropical Pacific: II ENSO prediction Climate Dynamics. 19: 343-353. DOI: 10.1007/S00382-002-0231-2 |
0.698 |
|
| 2002 |
Tang Y. Hybrid coupled models of the tropical Pacific: I interannual variability Climate Dynamics. 19: 331-342. DOI: 10.1007/S00382-002-0230-3 |
0.408 |
|
| 2001 |
Tang Y, Hsieh WW. Coupling neural networks to incomplete dynamical systems via variational data assimilation Monthly Weather Review. 129: 818-834. DOI: 10.1175/1520-0493(2001)129<0818:Cnntid>2.0.Co;2 |
0.609 |
|
| 2001 |
Tang Y, Hsieh WW, Tang B, Haines K. A neural network atmospheric model for hybrid coupled modelling Climate Dynamics. 17: 445-455. DOI: 10.1007/S003820000119 |
0.645 |
|
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