| Year |
Citation |
Score |
| 2020 |
Smith LA, Du H, Higgins S. Designing Multimodel Applications with Surrogate Forecast Systems Monthly Weather Review. 148: 2233-2249. DOI: 10.1175/Mwr-D-19-0061.1 |
0.417 |
|
| 2019 |
Thompson EL, Smith LA. Escape from model-land Economics : the Open-Access, Open-Assessment E-Journal. 13: 1-17. DOI: 10.5018/Economics-Ejournal.Ja.2019-40 |
0.374 |
|
| 2019 |
Berger JO, Smith LA. On the Statistical Formalism of Uncertainty Quantification Annual Review of Statistics and Its Application. 6: 433-460. DOI: 10.1146/ANNUREV-STATISTICS-030718-105232 |
0.316 |
|
| 2018 |
Elliott J, Glotter M, Ruane AC, Boote KJ, Hatfield JL, Jones JW, Rosenzweig C, Smith LA, Foster I. Characterizing agricultural impacts of recent large-scale US droughts and changing technology and management Agricultural Systems. 159: 275-281. DOI: 10.1016/J.Agsy.2017.07.012 |
0.348 |
|
| 2018 |
Jarman AS, Smith LA. Quantifying the predictability of a predictand: Demonstrating the diverse roles of serial dependence in the estimation of forecast skill Quarterly Journal of the Royal Meteorological Society. 145: 40-52. DOI: 10.1002/Qj.3384 |
0.395 |
|
| 2017 |
Du H, Smith LA. Rising Above Chaotic Likelihoods Siam/Asa Journal On Uncertainty Quantification. 5: 246-258. DOI: 10.1137/140988784 |
0.343 |
|
| 2017 |
Du H, Smith LA. Multi-model cross-pollination in time Physica D: Nonlinear Phenomena. 353: 31-38. DOI: 10.1016/J.Physd.2017.06.001 |
0.426 |
|
| 2016 |
Machete RL, Smith LA. Demonstrating the value of larger ensembles in forecasting physical systems Tellus a: Dynamic Meteorology and Oceanography. 68: 28393. DOI: 10.3402/Tellusa.V68.28393 |
0.44 |
|
| 2015 |
Hazeleger W, van den Hurk BJJM, Min E, van Oldenborgh GJ, Petersen AC, Stainforth DA, Vasileiadou E, Smith LA. Erratum: Tales of future weather Nature Climate Change. 5: 280-280. DOI: 10.1038/Nclimate2545 |
0.305 |
|
| 2015 |
Hazeleger W, Van Den Hurk BJJM, Min E, Van Oldenborgh GJ, Petersen AC, Stainforth DA, Vasileiadou E, Smith LA. Tales of future weather Nature Climate Change. 5: 107-113. DOI: 10.1038/Nclimate2450 |
0.359 |
|
| 2015 |
Frigg R, Smith LA, Stainforth DA. An assessment of the foundational assumptions in high-resolution climate projections: the case of UKCP09 Synthese. DOI: 10.1007/S11229-015-0739-8 |
0.33 |
|
| 2015 |
Smith LA, Suckling EB, Thompson EL, Maynard T, du H. Towards improving the framework for probabilistic forecast evaluation Climatic Change. DOI: 10.1007/S10584-015-1430-2 |
0.418 |
|
| 2015 |
Smith LA, Du H, Suckling EB, Niehörster F. Probabilistic skill in ensemble seasonal forecasts Quarterly Journal of the Royal Meteorological Society. 141: 1085-1100. DOI: 10.1002/Qj.2403 |
0.417 |
|
| 2014 |
Du H, Smith LA. Pseudo-orbit data assimilation. Part II: Assimilation with imperfect models Journal of the Atmospheric Sciences. 71: 483-495. DOI: 10.1175/Jas-D-13-033.1 |
0.4 |
|
| 2014 |
Du H, Smith LA. Pseudo-Orbit Data Assimilation. Part I: The Perfect Model Scenario Journal of the Atmospheric Sciences. 71: 469-482. DOI: 10.1175/Jas-D-13-032.1 |
0.395 |
|
| 2014 |
Frigg R, Bradley S, Du H, Smith LA. Laplace’s Demon and the Adventures of His Apprentices Philosophy of Science. 81: 31-59. DOI: 10.1086/674416 |
0.398 |
|
| 2014 |
Lopez A, Suckling EB, Smith LA. Robustness of pattern scaled climate change scenarios for adaptation decision support Climatic Change. 122: 555-566. DOI: 10.1007/S10584-013-1022-Y |
0.342 |
|
| 2013 |
Suckling EB, Smith LA. An Evaluation of Decadal Probability Forecasts from State-of-the-Art Climate Models Journal of Climate. 26: 9334-9347. DOI: 10.1175/Jcli-D-12-00485.1 |
0.425 |
|
| 2013 |
Frigg R, Smith LA, Stainforth DA. The Myopia of Imperfect Climate Models: The Case of UKCP09 Philosophy of Science. 80: 886-897. DOI: 10.1086/673892 |
0.393 |
|
| 2012 |
Du H, Smith LA. Parameter estimation through ignorance. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 016213. PMID 23005513 DOI: 10.1103/Physreve.86.016213 |
0.612 |
|
| 2012 |
Stainforth DA, Smith LA. Policy: Clarify the limits of climate models. Nature. 489: 208. PMID 22972289 DOI: 10.1038/489208A |
0.301 |
|
| 2012 |
Rowlands DJ, Frame DJ, Ackerley D, Aina T, Booth BBB, Christensen C, Collins M, Faull N, Forest CE, Grandey BS, Gryspeerdt E, Highwood EJ, Ingram WJ, Knight S, Lopez A, ... ... Smith LA, et al. Broad range of 2050 warming from an observationally constrained large climate model ensemble Nature Geoscience. 5: 256-260. DOI: 10.1038/Ngeo1430 |
0.371 |
|
| 2012 |
Beven K, Buytaert W, Smith LA. On virtual observatories and modelled realities (or why discharge must be treated as a virtual variable) Hydrological Processes. 26: 1905-1908. DOI: 10.1002/Hyp.9261 |
0.303 |
|
| 2011 |
Khare S, Smith LA. Data Assimilation: A Fully Nonlinear Approach to Ensemble Formation Using Indistinguishable States Monthly Weather Review. 139: 2080-2097. DOI: 10.1175/2010Mwr3186.1 |
0.403 |
|
| 2010 |
Oreskes N, Stainforth DA, Smith LA. Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know? Philosophy of Science. 77: 1012-1028. DOI: 10.1086/657428 |
0.338 |
|
| 2010 |
Smith LA, Cuéllar MC, Du H, Judd K. Exploiting dynamical coherence: A geometric approach to parameter estimation in nonlinear models Physics Letters A. 374: 2618-2623. DOI: 10.1016/J.Physleta.2010.04.032 |
0.437 |
|
| 2009 |
Hagedorn R, Smith LA. Communicating the value of probabilistic forecasts with weather roulette Meteorological Applications. 16: 143-155. DOI: 10.1002/Met.92 |
0.345 |
|
| 2008 |
Judd K, Reynolds CA, Rosmond TE, Smith LA. The geometry of model error Journal of the Atmospheric Sciences. 65: 1749-1772. DOI: 10.1175/2007Jas2327.1 |
0.381 |
|
| 2008 |
BRCKER J, SMITH LA. From ensemble forecasts to predictive distribution functions Tellus A. 60: 663-678. DOI: 10.1111/J.1600-0870.2008.00333.X |
0.373 |
|
| 2007 |
Bröcker J, Smith LA. Scoring Probabilistic Forecasts: The Importance of Being Proper Weather and Forecasting. 22: 382-388. DOI: 10.1175/Waf966.1 |
0.344 |
|
| 2007 |
Stainforth DA, Allen MR, Tredger ER, Smith LA. Confidence, uncertainty and decision-support relevance in climate predictions Philosophical Transactions of the Royal Society a: Mathematical, Physical and Engineering Sciences. 365: 2145-2161. DOI: 10.1098/Rsta.2007.2074 |
0.411 |
|
| 2007 |
Smith LA, Ziehmann C, Fraedrich K. Uncertainty dynamics and predictability in chaotic systems Quarterly Journal of the Royal Meteorological Society. 125: 2855-2886. DOI: 10.1002/Qj.49712556005 |
0.422 |
|
| 2007 |
Judd K, Smith LA, Weisheimer A. How good is an ensemble at capturing truth? Using bounding boxes for forecast evaluation Quarterly Journal of the Royal Meteorological Society. 133: 1309-1325. DOI: 10.1002/Qj.111 |
0.432 |
|
| 2005 |
Stainforth DA, Aina T, Christensen C, Collins M, Faull N, Frame DJ, Kettleborough JA, Knight S, Martin A, Murphy JM, Piani C, Sexton D, Smith LA, Spicer RA, Thorpe AJ, et al. Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature. 433: 403-6. PMID 15674288 DOI: 10.1038/Nature03301 |
0.369 |
|
| 2005 |
Weisheimer A, Smith LA, Judd K. A new view of seasonal forecast skill: bounding boxes from the DEMETER ensemble forecasts Tellus a: Dynamic Meteorology and Oceanography. 57: 265-279. DOI: 10.1111/J.1600-0870.2005.00106.X |
0.387 |
|
| 2005 |
Guerrero A, Smith LA. A maximum likelihood estimator for long-range persistence Physica a: Statistical Mechanics and Its Applications. 355: 619-632. DOI: 10.1016/J.Physa.2005.03.002 |
0.329 |
|
| 2005 |
Roulston MS, Ellepola J, Hardenberg Jv, Smith LA. Forecasting wave height probabilities with numerical weather prediction models Ocean Engineering. 32: 1841-1863. DOI: 10.1016/J.Oceaneng.2004.11.012 |
0.351 |
|
| 2004 |
Kwasniok F, Smith LA. Real-time construction of optimized predictors from data streams. Physical Review Letters. 92: 164101. PMID 15169233 DOI: 10.1103/Physrevlett.92.164101 |
0.313 |
|
| 2004 |
Golobič I, Pavlovič E, Von Hardenberg J, Berry M, Nelson RA, Kenning DBR, Smith LA. Comparison of a mechanistic model for nucleate boiling with experimental spatio-temporal data Chemical Engineering Research and Design. 82: 435-444. DOI: 10.1205/026387604323050146 |
0.311 |
|
| 2004 |
Smith LA, Hansen JA. Extending the Limits of Ensemble Forecast Verification with the Minimum Spanning Tree Monthly Weather Review. 132: 1522-1528. DOI: 10.1175/1520-0493(2004)132<1522:Etloef>2.0.Co;2 |
0.427 |
|
| 2004 |
Roulston MS, Smith LA. The Boy Who Cried Wolf Revisited: The Impact of False Alarm Intolerance on Cost–Loss Scenarios Weather and Forecasting. 19: 391-397. DOI: 10.1175/1520-0434(2004)019<0391:Tbwcwr>2.0.Co;2 |
0.313 |
|
| 2004 |
Judd K, Smith LA. Indistinguishable states II Physica D: Nonlinear Phenomena. 196: 224-242. DOI: 10.1016/J.Physd.2004.03.020 |
0.353 |
|
| 2004 |
McSharry PE, Smith LA. Consistent nonlinear dynamics: identifying model inadequacy Physica D: Nonlinear Phenomena. 192: 1-22. DOI: 10.1016/J.Physd.2004.01.003 |
0.408 |
|
| 2004 |
Judd K, Smith L, Weisheimer A. Gradient free descent: shadowing, and state estimation using limited derivative information Physica D: Nonlinear Phenomena. 190: 153-166. DOI: 10.1016/J.Physd.2003.10.011 |
0.385 |
|
| 2003 |
McSharry PE, Clifford GD, Tarassenko L, Smith LA. A dynamical model for generating synthetic electrocardiogram signals. Ieee Transactions On Bio-Medical Engineering. 50: 289-94. PMID 12669985 DOI: 10.1109/Tbme.2003.808805 |
0.307 |
|
| 2003 |
Roulston M, Smith L. Combining dynamical and statistical ensembles Tellus a: Dynamic Meteorology and Oceanography. 55: 16-30. DOI: 10.3402/Tellusa.V55I1.12082 |
0.433 |
|
| 2003 |
ORRELL D, SMITH LA. VISUALIZING BIFURCATIONS IN HIGH DIMENSIONAL SYSTEMS: THE SPECTRAL BIFURCATION DIAGRAM International Journal of Bifurcation and Chaos. 13: 3015-3027. DOI: 10.1142/S0218127403008387 |
0.311 |
|
| 2003 |
Roulston M, Kaplan D, Hardenberg J, Smith L. Using medium-range weather forcasts to improve the value of wind energy production Renewable Energy. 28: 585-602. DOI: 10.1016/S0960-1481(02)00054-X |
0.304 |
|
| 2003 |
Guerrero A, Smith LA. Towards coherent estimation of correlation dimension Physics Letters, Section a: General, Atomic and Solid State Physics. 318: 373-379. DOI: 10.1016/J.Physleta.2003.09.023 |
0.311 |
|
| 2002 |
Smith LA. What might we learn from climate forecasts? Proceedings of the National Academy of Sciences of the United States of America. 99: 2487-92. PMID 11875200 DOI: 10.1073/Pnas.012580599 |
0.425 |
|
| 2002 |
Roulston MS, Smith LA. Evaluating Probabilistic Forecasts Using Information Theory Monthly Weather Review. 130: 1653-1660. DOI: 10.1175/1520-0493(2002)130<1653:Epfuit>2.0.Co;2 |
0.34 |
|
| 2001 |
Orrell D, Smith L, Barkmeijer J, Palmer TN. Model error in weather forecasting Nonlinear Processes in Geophysics. 8: 357-371. DOI: 10.5194/Npg-8-357-2001 |
0.387 |
|
| 2001 |
Hansen JA, Smith LA. Probabilistic noise reduction Tellus a: Dynamic Meteorology and Oceanography. 53: 585-598. DOI: 10.3402/Tellusa.V53I5.12226 |
0.35 |
|
| 2001 |
Gilmour I, Smith LA, Buizza R. Linear Regime Duration: Is 24 Hours a Long Time in Synoptic Weather Forecasting? Journal of the Atmospheric Sciences. 58: 3525-3539. DOI: 10.1175/1520-0469(2001)058<3525:Lrdiha>2.0.Co;2 |
0.392 |
|
| 2001 |
Judd K, Smith L. Indistinguishable states Physica D: Nonlinear Phenomena. 151: 125-141. DOI: 10.1016/S0167-2789(01)00225-1 |
0.346 |
|
| 2000 |
Hansen JA, Smith LA. The Role of Operational Constraints in Selecting Supplementary Observations Journal of the Atmospheric Sciences. 57: 2859-2871. DOI: 10.1175/1520-0469(2000)057<2859:Trooci>2.0.Co;2 |
0.386 |
|
| 2000 |
Ziehmann C, Smith LA, Kurths J. Localized Lyapunov exponents and the prediction of predictability Physics Letters A. 271: 237-251. DOI: 10.1016/S0375-9601(00)00336-4 |
0.362 |
|
| 1999 |
McSharry PE, Smith LA. Better Nonlinear Models from Noisy Data: Attractors with Maximum Likelihood Physical Review Letters. 83: 4285-4288. DOI: 10.1103/Physrevlett.83.4285 |
0.403 |
|
| 1999 |
Ziehmann C, Smith LA, Kurths J. The bootstrap and Lyapunov exponents in deterministic chaos Physica D: Nonlinear Phenomena. 126: 49-59. DOI: 10.1016/S0167-2789(98)00256-5 |
0.364 |
|
| 1997 |
Paparella F, Provenzale A, Smith L, Taricco C, Vio R. Local random analogue prediction of nonlinear processes Physics Letters A. 235: 233-240. DOI: 10.1016/S0375-9601(97)00607-5 |
0.371 |
|
| 1996 |
Allen MR, Smith LA. Monte Carlo SSA: Detecting irregular oscillations in the Presence of Colored Noise Journal of Climate. 9: 3373-3404. DOI: 10.1175/1520-0442(1996)009<3373:Mcsdio>2.0.Co;2 |
0.313 |
|
| 1995 |
Ziehmann-Schlumbohm C, Fraedrich K, Smith LA. An internal predictability experiment in the Lorenz Model Meteorologische Zeitschrift. 4: 16-21. DOI: 10.1127/Metz/4/1995/16 |
0.355 |
|
| 1994 |
Smith LA, Bhansali RJ. Local optimal prediction: exploiting strangeness and the variation of sensitivity to initial condition Philosophical Transactions of the Royal Society A. 348: 371-381. DOI: 10.1098/Rsta.1994.0097 |
0.34 |
|
| 1992 |
Smith LA. Identification and prediction of low dimensional dynamics Physica D: Nonlinear Phenomena. 58: 50-76. DOI: 10.1016/0167-2789(92)90101-R |
0.39 |
|
| 1992 |
Provenzale A, Smith L, Vio R, Murante G. Distinguishing between low-dimensional dynamics and randomness in measured time series Physica D: Nonlinear Phenomena. 58: 31-49. DOI: 10.1016/0167-2789(92)90100-2 |
0.336 |
|
| 1986 |
Smith LA, Fournier JD, Spiegel EA. Lacunarity and intermittency in fluid turbulence Physics Letters A. 114: 465-468. DOI: 10.1016/0375-9601(86)90695-X |
0.479 |
|
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