Publications

Peer-reviewed Publications

    2023

  1. Lan, X., Luo, L., Xu, Z., Qiu, Y., & Yu, X. (2023). Long-term water temperature changes in Seneca Lake and their nexus to climate change and human activities. Environmental Research Communications, 5(11), 111003.
  2. Galib, A. H., McDonald, A., Tan, P. N., & Luo, L. (2023, August). Self-recover: forecasting block maxima in time series from predictors with disparate temporal coverage using self-supervised learning. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023).
  3. Yang, Y., Lin, Z., Luo, L., Zhong, L., & Jiang, D. (2023). Variation of Surface Air Temperature Induced by Enhanced Land–Atmosphere Coupling During 1981–2020 in Xinjiang, Northwest China. Journal of Geophysical Research: Atmospheres, 128(11), e2022JD037983.
  4. Zhang, S., Lang, Y., Yang, F., Qiao, X., Li, X., Gu, Y., ... & Duan, Q. (2023). Hydrological Modeling in the Upper Lancang-Mekong River Basin Using Global and Regional Gridded Meteorological Re-Analyses. Water, 15(12), 2209.

    5. 2022

  5. Tyler Wilson, Pang-Ning Tan, and Lifeng Luo (2022). DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, February, 2022.
  6. Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, and Pang-Ning Tan (2022). DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, July (2022).
  7. Andrew McDonald, Pang-Ning Tan, and Lifeng Luo (2022). COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, July (2022).
  8. Tyler Wilson, Andrew McDonald, Asadullah Galib, Pang-Ning Tan, and Lifeng Luo (2022). Beyond Point Prediction: Capturing Zero-Inflated and Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington, DC, August (2022).
  9. Tang, Q., Liu, X., Zhou, Y., Wang, P., Li, Z., Hao, Z., ... & Luo, L. (2022). Climate change and water security in the northern slope of the Tianshan Mountains. Geography and Sustainability, 3, 246-257.

    10. 2021

  10. Hatami Bahman Beiglou, P., Luo, L., Tan, P. N., & Pei, L. (2021). Automated Analysis of the US Drought Monitor Maps with Machine Learning and Multiple Drought Indicators. Frontiers in big Data, 94.
  11. Kang, G., Luo, L., Pokhrel, Y., Lusch, D., & Phanikumar, M. S. (2021). Quantifying the spatiotemporal dynamics of recharge in a composite Great Lakes watershed using a highresolution hydrology model and multi-source data. Journal of Hydrology, 601, 126594.
  12. Yang, Y., Lin, Z., Luo, L., Zhang, Y., & Li, Z. (2021). Inhomogeneous trends in the onset date of extreme hot days in China over the last five decades. Atmospheric and Oceanic Science Letters, 14(6), 100080.
  13. Pham, L. T., Luo, L., & Finley, A. (2021). Evaluation of random forests for short-term daily streamflow forecasting in rainfall-and snowmelt-driven watersheds. Hydrology and Earth System Sciences, 25(6), 2997-3015.

    14. 2020

  14. Yan, Y., Wu, H., Gu, G., Ward, P. J., Luo, L., Li, X., ... & Tao, J. (2020). Exploring the ENSO Impact on Basin‐Scale Floods Using Hydrological Simulations and TRMM Precipitation. Geophysical Research Letters, 47(22), e2020GL089476.
  15. Lang, Y., Luo, L., Ye, A., & Duan, Q. (2020). Do CFSv2 Seasonal Forecasts Help Improve the Forecast of Meteorological Drought over Mainland China?. Water, 12(7), 2010.
  16. Li, Y., Luo, L., Wang, Y., Guo, A., Fan, J., Liu, Q. et al. (2020). Hydrological drought evolution with a nonlinear joint index in regions with significant changes in underlying surface. Journal of Hydrology, 124794.
  17. Chen, C., Zhang, Y., Wang, J., Song, J., Luo L., Yue Y. (2019) Flash drought: progress and prospect. South to North Water Transfers and Water Science and Technology, 2020
  18. Li, X., Xia X., Zhong S., Luo L., Yu X., Jia J., Zhao K., Li N., Liu Y., Ren Q. (2020) Shallow foehn on the northern leeside of Tianshan Mountains and its influence on atmospheric boundary layer over Urumqi, China – a climatological study. Atmospheric Research, 104940.
  19. Wang, D., Liu, B., Tan, P. N., & Luo, L. (2020, April). OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 34, No. 01, pp. 963-970).
  20. Wilson, T., Tan, P.-N., & Luo, L. (2020). Convolutional methods for predictive modeling of geospatial data. In Proceedings of the 2020 siam international conference on data mining (pp. 28–36).SIAM
  21. Fu, X., Yu, Z., Ding, Y., Qin, Y., Luo,L., Zhao, C., ... Yang, C. (2020). Unscented weighted ensemble Kalman filter for soil moisture assimilation. Journal of Hydrology, 580, 124352.

    22. 2019

  22. Wu, H., Kimball, J. S., Zhou, N., Alfieri, L., Luo, L., Du, J., & Huang, Z. (2019). Evaluation of real-time global flood modeling with satellite surface inundation observations from SMAP. Remote Sensing of Environment, 233, 111360.
  23. Xu, J., Zhou, J., Tan, P. N., Liu, X., & Luo, L. (2019). Spatiotemporal Multi-task Learning via Tensor Decomposition. IEEE Transactions on Knowledge and Data Engineering
  24. Liu, X., Wilson, T., Tan, P. N., & Luo, L. (2019, October). Hierarchical LSTM Framework for Long-Term Sea Surface Temperature Forecasting. In 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (pp. 41-50). IEEE.
  25. Arcand S, Luo L, Zhong S, Pei L, Bian X, Winkler JA. Modeled changes to the Great Plains low-level jet under a realistic irrigation application. Atmos Sci Lett. 2019;20:e888. https://doi.org/10.1002/asl.888
  26. Ma, F., L. Luo, A. Ye, and Q. Duan (2019) Drought characteristics and propagation in the semi-arid Heihe River basin in Northwestern China. J. Hydrometeor., 20(1), 59-77.
  27. Li, Y., Chang, J., Luo, L., Wang, Y., Guo, A., Ma, F., & Fan, J. (2019). Spatiotemporal impacts of land use land cover changes on hydrology from the mechanism perspective using SWAT model with timevarying parameters. Hydrology Research, 50(1), 244-261.

    28. 2018

  28. Ma, F., L. Luo, A. Ye, and Q. Duan (2018) Seasonal drought predictability and forecast skill in the semi-arid endorheic Heihe River basin in northwestern China, Hydrol. Earth Syst. Sci., 22, 5697-5709, https://doi.org/10.5194/hess-22-5697-2018
  29. Wilson, T., P. N. Tan, and L. Luo (2018) A low rank weighted graph convolutional approach to weather prediction. 2018 IEEE international Conference on Data Mining (ICDM), 627-636.
  30. Liu, X., P. N. Tan, Z. Abraham, L. Luo, and P. Hatami (2018) Distribution preserving multi-task regression for spatio-temporal data. 2018 IEEE International Conference on Data Mining (ICDM), 1134-1139.
  31. Li, Y., J. Chang, L. Luo, Y. Wang, A. Guo, F. Ma, J. Fan (2018) Spatiotemporal impacts of land use land cover changes on hydrology from the mechanism perspective using SWAT model with time-varying parameters. Hydrology Research, nh2018006. https://doi.org/10.2166/nh.2018.006
  32. Fu, X., L. Luo, M. Pan, Z. Yu, Y. Tang, and Y. Ding (2018) Evaluation of Topmodel-based Land Surface Atmosphere Transfer Scheme (TOPLATS) through a soil moisture simulation. Earth Interactions, 22(15), 1-19.
  33. Xu, H., Z. Wu, L. Luo, and H. He (2018) Verification of high-resolution medium-range precipitation forecasts from Global Environmental Multiscale Model over China during 2009-2013. Atmosphere, 9, 104. doi:10.3390/atmos9030104
  34. Chen, Y., D. Lu, L. Luo, Y. Pokhrel, K. Deb, J. Huang, and Y. Ran (2018), Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data. Remote Sensing of Environment, 204, 197-211.

    35. 2017

  35. Hyndman, D. W., T. Xu, , J. M. Deines , G. Cao , R. Nagelkirk , A. Viña, W. McConnell, B. Basso, A. Kendall, S. Li, L. Luo, F. Lupi, D. Ma, J. A. Winkler, W. Yang, C. Zheng and J. Liu (2017), Quantifying Changes in Water Use and Groundwater Availability in a Megacity using Novel Integrated Systems Modeling, Geophys. Res. Lett., 44,8359–8368, doi:10.1002/2017GL074429.
  36. Hao, Z., Y. Xia, L. Luo, VP. Singh, W. Ouyang, F. Hao (2017), Towards a categorical drought prediction system based on US Drought Monitor (USDM) and climate forecast. J. Hydrol. 551, 300-305, doi:10.1016/j.jhydrol.2017.06.005
  37. Luo, L., D. Apps, S. Arcand, H. Xu, M. Pan, and M. Hoerling (2017), Contribution of temperature and precipitation anomalies to the California drought during 2012–2015, Geophys. Res. Lett., 44, 1–9, doi:10.1002/2016GL072027.
  38. Xu, J., P. N. Tan, J. Zhou, and L. Luo (2017), Online Multi-task Learning Framework for Ensemble Forecasting. IEEE Transactions on Knowledge and Data Engineering, 29(6) 1-13. doi:10.1109/TKDE.2017.2662006.

    39. 2016

  39. Xu, J., J. Zhou, P. N. Tan, X. Liu, and L. Luo (2016), WISDOM: Weighted Incremental Spatio-Temporal Multi-Task Learning via Tensor Decomposition, 2016 IEEE International Conference on Big Data., 522-531
  40. Schultze, S.R., Sabbatini, P. and Luo, L. (2016) Effects of a warming trend on cool climate viticulture in Michigan, USA. SpringerPlus, 5(1), 1-15. doi:10.1186/s40064-016-2777-1
  41. Yang, W., D. W. Hyndman, J. A. Winkler, A. Viña, J. M. Deines, F. Lupi, L. Luo, Y. Li, B. Basso, C. Zheng, D. Ma, S. Li, X. Liu, H. Zheng, G. Cao, Q. Meng, Z. Ouyang and J. Liu. 2016. Urban water sustainability: framework and application. Ecology and Society 21 (4):4. http://www.ecologyandsociety.org/vol21/iss4/art4/
  42. Huntington, T. G., W. M. Balch, G. R. Aiken, J. Sheffield, L. Luo, C. S. Roesler, and P. Camill (2016), Climate change and dissolved organic carbon export to the Gulf of Maine, J. Geophys. Res. Biogeosci., 121, doi:10.1002/2015JG003314.
  43. Schultze, S. R., P. Sabbatini, L. Luo (2016), Interannual effects of early season growing degree day accumulation and frost in the cool climate viticulture of Michigan. Annals of the Association of American Geographers, doi:10.1080/24694452.2016.1171129
  44. Xu, J., P. N. Tan, L. Luo, and J. Zhou (2016), GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction, Proceedings of the 2016 SAIM International Conference on Data Mining, 657-665.
  45. Xia, Y., B. A. Cosgrove, K. E. Mitchell, C. D. Peters-Lidard, M. B. Ek, M. Brewer, D. Mocko, S. V. Kumar, H. Wei, J. Meng, and L. Luo (2016), Basin-scale assessment of the land surface water budget in the National Centers for Environmental Prediction operational and research NLDAS-2 systems, J. Geophys. Res. Atmos., 121, 2750–2779, doi:10.1002/2015JD023733.

    46. 2015

  46. Tang, Y., S. Zhong, L. Luo, J. Winkler, X. Bian, and W.E. Heilman (2015), The Potential Impact of Regional Climate Change on Fire Weather in the United States, Annals of the Association of American Geographers, 105:1, 1-21, doi:10.1080/00045608.2014.968892.
  47. Whitney, J. W., G.N. Breit, S.E. Buckingham, R.L. Reynolds, R.C. Bogle, L. Luo, H.L. Goldstein, J.M. Vogel (2015), Aeolian Responses to Climate Variability during the Past Century on Mesquite Lake Playa, Mojave Desert. Geomorphology,230,13-25. doi:10.1016/j.geomorph.2014.10.024

    48. 2014

  48. J. Xu, P. N. Tan and L. Luo, "ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting" 2014 IEEE International Conference on Data Mining, Shenzhen, 2014, pp. 1061-1066. doi: 10.1109/ICDM.2014.90
  49. Pei, L., N. Moore, S. Zhong, L. Luo, D.W. Hyndman, W.E. Heilman, and Z. Gao (2014), WRF Model Sensitivity to Land Surface Model and Cumulus Parameterization under Short-term Climate Extremes over the Southern Great Plains of the United States. J. of Climate, 27, 7703-7724.
  50. Zhang, Y., J. A. Smith, L. Luo, Z. Wang, and M. L. Baeck (2014), Urbanization and Rainfall Variability in the Beijing Metropolitan Region, J. of Hydrometeo., 15, 2219-2235.
  51. Yu, Z., Fu, X., L. Luo, H. Lü, Q. Ju, D. Liu, Dresden A. Kalin, D. Huang, C. Yang, and L. Zhao(2014), One-dimensional soil temperature simulation with Common Land Model by assimilating in situ observations and MODIS LST with ensemble particle filter, Water Resources Research, 50, 6950–6965, doi:10.1002/2012WR013473.
  52. Tang, W., Z. Lin, C, Yang, and L. Luo (2014), Evaluation of a hydrological simulation over the Huaihe River Basin using a coupled land surface and hydrologic model system and its uncertainty analysis. Climatic and Environmental Research (in Chinese), 19 (4): 463−476. doi:10.3878/j.issn.1006-9585.2013.13066
  53. Lang, Y., A. Ye, W. Gong, C. Miao, Z. Di, J. Xu, Y. Liu, L. Luo, and Q. Duan (2014), Evaluating skill of seasonal precipitation and temperature predictions of NCEP CFSv2 forecasts over 17 hydroclimatic regions in China, J. of Hydrometeo., 15(4), 1546-1559. doi: 10.1175/JHM-D-13-0208.1
  54. Yu, Z., X. Fu, H. Lü, L. Luo, D. Liu, Q. Ju, L. Xiang, and Z. Wang (2014). On evaluating ensemble Kalman, particle and ensemble particle filters through the soil temperature prediction. J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0000976
  55. Fu X., Z. Yu, L. Luo, H. Lü, D. Liu, Q. Ju, T. Yang, F. Xu, H. Gu, C. Yang, J. Chen, and T. Wang (2014), Investigating soil moisture sensitivity to precipitation and evapotranspiration errors using SiB2 model and ensemble Kalman filter. Stoch. Environ. Res. Risk Assess. doi:10.1007/s00477-013-0781-3
  56. Baustian M.M., G. Mavrommati, E.A. Dreelin, P. Esselman, S.R. Schultze, L. Qian, T. Gim Aw, L. Luo, and J.B. Rose (2014), A one hundred year review of the socioeconomic and ecological systems of Lake St. Clair, North America, Journal of Great Lakes Research. Volume 40, Issue 1, March 2014, Pages 15–26, doi:10.1016/j.jglr.2013.11.006

    57. 2013

  57. Luo, L., Y. Tang, S. Zhong, X. Bian, W. E. Heilman (2013), Will future climate favor more erratic wildfires in the western United States? Journal of Applied Meteorology and Climatology, 52, 2410- 2417. doi: 10.1175/JAMC-D-12-0317.1
  58. Tang, W., Z. Lin, and L. Luo (2013), Assessing the Seasonal Predictability of Summer Precipitation over the Huaihe River Basin with Multiple APCC Models. Atmos. Oceanic Sci. Lett., 6(4), 185-190, doi: 10.3878/j.issn.1674-2834.13.0025.
  59. Xia, Y., M. Ek, J. Sheffield, B. Livneh, H. Wei, S. Feng, L. Luo, J. Meng and E. Wood (2013), Validation of Noah-Simulated Soil Temperature in the North American Land Data Assimilation System Phase 2. Journal of Applied Meteorology and Climatology, 52, 455– 471. doi:10.1175/JAMC-D-12-033.1.
  60. Luo, L., W. Tang, Z. Lin, and E. F. Wood (2013), Evaluation of summer temperature and precipitation predictions from NCEP CFSV2 retrospective forecast over China. Climate Dynamics, 41, 2213-2230, DOI 10.1007/s00382-013-1927-1

    61. 2012

  61. Luo, L. and Y. Zhang (2012), Did we see the 2011 summer heat wave coming? Geophys. Res. Lett., 39, L09708, doi:10.1029/2012GL051383.
  62. Xia, Y., K. Mitchell, M. Ek, B. Cosgrove, J. Sheffield, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, Q. Duan, and D. Lohmann (2012), Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model-simulated streamflow, J. Geophys. Res., 117, D03110, doi:10.1029/2011JD016051
  63. Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. F. Wood, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, D. P. Lettenmaier, V. Koren, Q. Duan, K. Mo, Y. Fan, D. Mocko (2012), Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. J. Geophys. Res., 117, D03109, doi:10.1029/2011JD016048.

    64. 2011

  64. Koster, R.D., S.P.P. Mahanama, T.J.Yamada, Gianpaolo Balsamo, A. A. Berg, M. Boisserie, P. A. Dirmeyer, F. J. Doblas-Reyes, G. Drewitt, C.T, Gordon, Z. Guo, J-H. Jeong, W-S. Lee, Z. Li, L. Luo, S. Malyshev, W.J. Merryfield, S. I. Seneviratne, T. Stanelle, B. J. J. M. van den Hurk, F. Vitart and E. F. Wood (2011), The second phase of the Global Land-Atmosphere Coupling Experiment: Soil moisture contribution to subseasonal forecast skill. J. of Hydrometeo. 12, 805-822, doi: 10.1175/2011JHM1365.1.
  65. Yuan, X., E. F. Wood, L. Luo, and M. Pan (2011), A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction, Geophys. Res. Lett., 38, L13402, doi:10.1029/2011GL047792.

    66. 2010

  66. Schaake J.,J. Pailleux, J. Thielen, R. Arritt, T. Hamill, L. Luo, E. Martin, D. McCollor and F. Pappenberger (2010), Summary of recommendations of the first workshop on Postprocessing and Downscaling Atmospheric Forecasts for Hydrologic Applications held at Meteo-France, Toulouse, France, 15-18 June 2009, Atmospheric Science Letters, 11, 59-63, doi: 10.1002/asl.267
  67. Koster, R. D., S. P. P. Mahanama, T. J. Yamada, Gianpaolo Balsamo, A. A. Berg, M. Boisserie, P. A. Dirmeyer, F. J. Doblas-Reyes, G. Drewitt, C. T. Gordon, Z. Guo, J.-H. Jeong, D. M. Lawrence, W.-S. Lee, Z. Li, L. Luo, S. Malyshev, W. J. Merryfield, S. I. Seneviratne, T. Stanelle, B. J. J. M. van den Hurk, F. Vitart, and E. F. Wood (2010), Contribution of land surface initialization to subseasonal forecast skill: First results from a multi-model experiment, Geophys. Res. Lett., 37, L02402, doi:10.1029/2009GL041677.

    68. 2009

  68. Lavers, D., L. Luo, and E. F. Wood (2009), A multiple model assessment of seasonal climate forecast skill for applications, Geophys. Res. Lett., 36, L23711, doi:10.1029/2009GL041365.
  69. Pan, M., E. F. Wood, D. McLaughlin, D. Entekhabi, and L. Luo (2009), A multiscale ensemble filtering system for hydrologic data assimilation: Part I, implementation and synthetic experiment, J. of Hydrometeo., 10(3), 794-806, DOI:10.1175/2009JHM1088.1.
  70. Li, H., L. Luo, E. F. Wood, and J. Schaake (2009), The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting, J. Geophy. Res., 114, D04114, doi:10.1029/2008JD010969.

    71. 2008

  71. Luo, L. and E. F. Wood (2008), Use of Bayesian merging techniques in a multi-model seasonal hydrologic ensemble prediction system for the Eastern U.S. J. Hydrometeo., 5, 866-884
  72. Li, H., L. Luo, and E. F. Wood (2008), Seasonal hydrologic predictions of low-flow conditions over eastern USA during the 2007 drought. Atmospheric Science Letters, 9 (2), 61-66, doi: 10.1002/asl.182

    73. 2007

  73. Luo, L., and E. F. Wood (2007), Monitoring and predicting the 2007 U.S. drought. Geophys. Res. Lett., 34, L22702, doi:10.1029/2007GL031673.
  74. Luo, L., E. F. Wood, and M. Pan (2007), Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions. J. Geophys. Res., 112, D10102, doi:10.1029/2006JD007655.
  75. Hayhoe, K., C. Wake, T. Huntington, L. Luo, M. D. Schwartz, J. Sheffield, E. F. Wood, B. Anderson, J. Bradbury, A. DeGaetano, T. J. Troy, and D. Wolfe (2007), Past and future changes in climate and hydrological indicators in the U.S. Northeast. Climate Dynamics,doi:10.1007/s00382-006-0187-8

    76. 2006

  76. Luo, L., and E. F. Wood (2006), Assessing the idealized predictability of precipitation and temperature in the NCEP Climate Forecast System. Geophys. Res. Lett., 33, L04708, doi:10.1029/2005GL025292.

    77. 2004

  77. Lohmann, D., K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, B. A. Cosgrove, J. Sheffield, Q. Duan, L. Luo, W. Higgins, R. T. Pinker, and J. D. Tarpley (2004), Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System project, J. Geophys. Res., 109, D07S91, doi:10.1029/2003JD003517.
  78. Mitchell, K. E., D. Lohmann, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, B. A. Cosgrove, J. Sheffield, Q. Duan, L. Luo, R. W. Higgins, R. T. Pinker, J. D. Tarpley, D. P. Lettenmaier, C. H. Marshall, J. K. Entin, M. Pan, W. Shi, V. Koren, J. Meng, B. H. Ramsay, and A. A. Bailey (2004), The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system, J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823.
  79. Schaake, J. C., Q. Duan, V. Koren, K. E. Mitchell, P. R. Houser, E. F. Wood, A. Robock, D. P. Lettenmaier, D. Lohmann, B. A. Cosgrove, J. Sheffield, L. Luo, R. W. Higgins, R. T. Pinker, and J. D. Tarpley (2004), An intercomparison of soil moisture fields in the North American Land Data Assimilation System (NLDAS), J. Geophys. Res., 109, D01S90, doi:10.1029/2002JD003309.

    80. 2003

  80. Cosgrove, B. A., D. Lohmann, K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, J. Sheffield, Q. Duan, L. Luo, R. W. Higgins, R. T. Pinker, and J. D. Tarpley (2003), Land surface model spin-up behavior in the North American Land Data Assimilation System (NLDAS), J. Geophys. Res., 108(D22), 8845, doi:10.1029/2002JD003316.
  81. Sheffield, J., M. Pan, E. F. Wood, K. E. Mitchell, P. R. Houser, J. C. Schaake, A. Robock, D. Lohmann, B. Cosgrove, Q. Duan, L. Luo, R. W. Higgins, R. T. Pinker, J. Dan Tarpley, and Bruce H. Ramsay (2003), Snow process modeling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent, J. Geophys. Res., 108(D22), 8849, doi:10.1029/2002JD003274.
  82. Pan, M., P. Ming, J. Sheffield, E. F. Wood, K. E. Mitchell, P. R. Houser, J. C. Schaake, A. Robock, D. Lohmann, B. Cosgrove, Q. Duan, L. Luo, R. W. Higgins, R. T. Pinker, and J. D. Tarpley (2003), Snow process modeling in the North American Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent, J. Geophys. Res., 108(D22), 8850, doi:10.1029/2003JD003994.
  83. Robock, A., L. Luo, E. F. Wood, F. Wen, K. E. Mitchell, P. R. Houser, J. C. Schaake, D. Lohmann, B. Cosgrove, J. Sheffield, Q. Duan, R. W. Higgins, R. T. Pinker, J. D. Tarpley, J. B. Basara, and K. C. Crawford (2003), Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season, J. Geophys. Res., 108(D22), 8846, doi:10.1029/2002JD003245.
  84. Pinker, R. T., J. D. Tarpley, I. Laszlo, K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, D. Lohmann, B. A. Cosgrove, J. Sheffield, Q. Duan, L. Luo, and R. W. Higgins (2003), Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project, J. Geophys. Res., 108(D22), 8844, doi:10.1029/2002JD003301.
  85. Cosgrove, B. A., D. Lohmann, K. E. Mitchell, P. R. Houser, E. F. Wood, J. Schaake, A. Robock, C. Marshall, J. Sheffield, L. Luo, Q. Duan, R. T. Pinker, J. D. Tarpley, R. W. Higgins, and J. Meng (2003), Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project, J. Geophys. Res., 108(D22), 8842, doi:10.1029/2002JD003118.
  86. Luo, L., A. Robock, K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, D. Lohmann, B. A. Cosgrove, F. Wen, J. Sheffield, Q. Duan, R. W. Higgins, R. T. Pinker, and J. D. Tarpley (2003), Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains, J. Geophys. Res., 108(D22), 8843, doi:10.1029/2002JD003246.
  87. Roads, J., R. Lawford, E. Bainto, E. Berbery, S. Chen, B. M. Fekete, K. Gallo, A. Grundstein, W. Higgins, M. Kanamitsu, W. Krajewski, V. Lakshmi, D. Leathers, D. P. Lettenmaier, L. Luo, E. Maurer, T. Meyers, D. Miller, K. E. Mitchell, T. Mote, R. Pinker, T. Reichler, D. Robinson, A. Robock, J. Smith, G. Srinivasan, K. Vinnikov, T. Vonder Haar, C. J. Vorosmarty, S. Williams, and E. Yarosh (2003), GCIP Water and Energy Budget Synthesis (WEBS). J. Geophys. Res., 108 (D16), 8609, doi:10.1029/2002JD002583.
  88. Luo, L., A. Robock, K.Y. Vinnikov, C.A. Schlosser, A.G. Slater, A. Boone, H. Braden, P. Cox, P. de Rosnay, R.E. Dickinson, Y.J. Dai, Q.Y. Duan, P. Etchevers, A. Henderson-Sellers, N. Gedney, Y.M. Gusev, F. Habets, J. W. Kim, E. Kowalczyk, K. Mitchell, O.N. Nasonova, J. Noilhan, A.J. Pitman, J. Schaake, A.B. Shmakin, T.G. Smirnova, P. Wetzel, Y.K. Xue, Z.L. Yang, Q.C. Zeng (2003), Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia.J. Hydrometeo., 4, 334-351.

    89. 2000

  89. Srinivasan, G., A. Robock, J.K. Entin, L. Luo, K. Y. Vinnikov, P. Viterbo, and Participating AMIP Modeling Groups (2000), Soil moisture simulations in revised AMIP models. J. Geophys. Res., 105, 26,635-26,644.

Book and Book Chapters

  • Eric F Wood, Xing Yuan, Joshua K Roundy, Ming Pan, and Lifeng Luo, 2016: Seasonal Drought Forecasting on the Example of the USA. Handbook of Hydrometeorological Ensemble Forecasting. Qingyun Duan, Florian Pappenberger, Jutta Thielen, Andy Wood, Hannah L. Cloke, and John C. Schaake (eds), Springer Berlin Heidelberg. ISBN: 978-3-642-40457-3
  • Xia, Y., B. Cosgrove, M. B. Ek, J. Sheffield, L. Luo, E. F. Wood, K. Mo, and NLDAS team, 2013: Overview of the North American Land Data Assimilation System, Chapter 11 in Land Surface Observation, Modeling and Assimilation, S. Liang, X. Li, and X. Xie (eds.), World Scientific, 492pp.
  • Sheffield, J., Y. Xia, L. Luo, E. F. Wood, M. Ek, and K. E. Mitchell, 2012: North American Land Data Assimilation System, Chapter 10 in Remote Sensing of Drought: Innovative Monitoring Approaches, B. Wardlow, M. Anderson and J. Verdin (eds.), CRC Press. 484pp.

Non-Refereed Publications

  • Heilman, WE. Y Tang, L. Luo, S. Zhong, J. Winkler, X. Bian (2015), Potential climate change impacts on fire weather in the United States. Fire Management Today. 74(3): 22-27.
  • Hoerling et al. (2013), An Interpretation of the Origins of the 2012 Central Great Plains Drought. Assessment Report from NOAA Drought Task Force.
  • Ek, M., Y. Xia, E. Wood, J. Sheffield, L. Luo, D. Lettenmaier, B. Livneh, D. Mocko, B. Cosgrove, J. Meng, H. Wei, V. Koren, J. Schaake, K. Mo, Y. Fan, Q. Duan, and K. Mitchell (2011) North American Land Data Assimilation System Phase 2 (NLDAS-2): Development and Applications, GEWEX News, 21,No 2, 6-7.
  • Michael Ek, Youlong Xia, and the NLDAS team (2010), NCEP/EMC NLDAS Support for drought monitoring and seasonal prediction, NWS Science & Technology Infusion Climate Bulletin.
  • Luo, L., J. Sheffield and E. F. Wood (2008), Towards a global drought monitoring and forecasting predictability, NWS Science & Technology Infusion Climate Bulletin.
  • The Northeast Climate Impacts Assessment (NECIA): Climate Change in the U.S. Northeast - A report of the Northeast Climate Impacts Assessment, October 2006.
  • Déry S. J., L. Luo, J. Sheffield, and E. F. Wood (2005), Do dynamical models pick up pan- arctic teleconnections? GEWEX News, 15, 12-13.