Publications

(* indicates papers led by graduate students, postdocs, or visiting scholars, as well as papers for which Dr. Wang is the corresponding author)

  1. *Qin H, Alvee F, Wang G, Leung LR, Sun X, 2024: Extreme precipitation intensity relationship with surface conditions in convection-permitting and convection-parameterized models. Journal of Climate, submitted
  2. *Mohammadi K, Wang G, 2024: Impact matters: detection and early warning of agriculturally impactful flash drought. Bulletin of the American Meteorological Society, in revision
  3. Hu H, Leung R, Wang G, Sun X, 2024:  The Scaling of MCS and non-MCS with temperature over the Central U.S. Geophysical Research Letters, in revision
  4. Sun S, Li L, Yang Z-L, Wang G, McDowell NG et al., 2024: Refining water and carbon fluxes modeling in terrestrial ecosystems via plant hydraulics integration, Agricultural and Forest Meteorology, 359, 110256, https://doi.org/10.1016/j.agrformet.2024.110256
  5. *Jiang Y, Wang G, 2024: Soil moisture dominates the land surface feedback in the development of compound drought-heat extremes in Tropical South America. Journal of Hydrometeorology, https://doi.org/10.1175/JHM-D-24-0005.1
  6. *Chen Y, Wang G, Seth A, 2024: Climatic drivers for the variation of gross primary productivity across ecosystems in the United States. JGR-Biogeosciences, 129, e2024JG008168, doi: 10.1029/2024JG008168
  7. Wang GY, Fu R, Zhuang Y, Dirmeyer PA, Santanello J, Wang G, Yang K, McColl K, 2023: Influence of Lower Tropospheric Moisture on Local Soil Moisture-Precipitation Feedback over the U.S. Southern Great Plains, Atmospheric Chemistry and Physics, 24, 3857-3868, https://doi.org/10.5194/acp-24-3857-2024
  8. *Jiang Y, Wang G, 2023: A new approach to soil initialization for studying subseasonal land-atmosphere interactions. Journal of Advances in Modeling the Earth Systems, 15, e2023MS003822. https://doi.org/10.1029/2023MS003822 
  9. Thornton PE, Reed BC, Xian GZ, Chini L, East AE, Field JL, Hoover CM, Poulter B, Reed SC, Wang G, and Zhu Z, 2023: Ch. 6. Land cover and land-use change. In: Fifth National Climate Assessment. Crimmins, A.R., C.W. Avery, D.R. Easterling, K.E. Kunkel, B.C. Stewart, and T.K. Maycock, Eds. U.S. Global Change Research Program, Washington, DC, USA. https://doi.org/10.7930/NCA5.2023.CH6
  10. Tang J, Xue Y, Long M, …., Wang G, …., Pan X. (20 co-authors), 2023: Regional Climate Model Intercomparison over the Tibetan Plateau in the GEWEX/LS4P Phase I. Climate Dynamics, https://doi.org/10.1007/s00382-023-06992-4
  11. *Fu C, Wang G, Yang Y, et al., 2023:  Temperature thresholds for carbon flux variation and warming-induced changes. Journal of Geophysical Research: Atmospheres, 128, e2023JD039747. https://doi.org/10.1029/2023JD039747
  12. *Yang M, Wang G, Sun Y, You L, Anyah R, 2023: Water stress dominates the projected maize yield changes in Ethiopia, Global and Planetary Changes, 228, 104216, https://doi.org/10.1016/j.gloplacha.2023.104216
  13. *Yang M, Wang G, 2023: Heat stress to jeopardize crop production in the US Corn Belt based on downscaled CMIP5 projections. Agricultural Systems, 211, https://doi.org/10.1016/j.agsy.2023.103746
  14. *Yang M, Wang G, Wu S et al, 2023: Seasonal prediction of crop yields in Ethiopia using an analog approach. Agricultural and Forest Meteorology, 331, 109347, https://doi.org/10.1016/j.agrformet.2023.109347 
  15. *Liu Q, Yang M, Mohammadi K, Song D, Bi J, Wang G, 2022: Machine learning crop yield models based on meteorological features and comparison with a process-based model, Artificial Intelligence for Earth Systems, 1(4), https://doi.org/10.1175/AIES-D-22-0002.1
  16. *Mohammadi K, Jiang Y, Wang G, 2022: Flash drought early warning based on the trajectory of solar-induced chlorophyll fluorescence. PNAS, 119, e2202767119, doi: 10.1073/pnas.2202767119
  17. *Sun X, Wang G, 2022: Causes for the negative scaling of extreme precipitation at high temperatures. Journal of Climate, 34, 6119-6134, doi: 10.1175/JCLI-D-22-0142.1
  18. Wang G, Sun X, 2022: Monotonic increase of extreme precipitation intensity with temperature when controlled for saturation deficit. Geophysical Research Letters, 49, e2022GL097881, https://doi.org/10.1029/2022GL097881
  19. *Erfanian A, Jiang Y, Fomenko L, Fu R, Seth A, & Wang G, 2022: Variability, trend, and extremes of the South American vegetation-climate system: Results from a coupled regional model.  Journal of Geophysical Research: Atmospheres, 127, e2021JD035691. https://doi.org/10.1029/2021JD035691
  20. *Jiang Y, Yang M, Liu W, Mohammadi K, Wang G, 2022: Eco-hydrological responses to recent droughts in tropical South America. Environmental Research Letters, 17, 024037
  21. Long K, Wang D, Wang G, Zhu J, Wang S, 2021: High temperature enhances spatio-temporal rainfall concentration. Journal of Hydrometeorology, https://doi.org/10.1175/JHM-D-21-0034.1
  22. Lin Y, Wang D, Wang G, et al., 2021: A hybrid deep learning algorithm and its application to streamflow prediction. Journal of Hydrology, 601, 126636
  23. Xue YK et al., 2021: Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project (LS4P), Phase I: Organization and Experimental design, Geosci. Model Dev., 14, 4465–4494, https://doi.org/10.5194/gmd-14-4465-2021
  24. *Lala J, Yang M, Wang G, & Block P, 2021: Utilizing rainy season onset predictions to enhance maize yields in Ethiopia. Environmental Research Letters. 16,054035, doi: 1088/1748-9326/abf9c9
  25. *Jiang Y, Wang G, Liu W, Erfanian A, Deng Q, Fu R, 2021: Modeled response of South American climate to three decades of deforestation. Journal of Climate, 34, 6, 2189–2203, https://doi.org/10.1175/JCLI-D-20-0380.1
  26. Mehboob MS., Kim Y, Lee J, Um M-J, Erfanian A, Wang G, 2020: Projection of vegetation impacts on future droughts over West Africa using a coupled RegCM-CLM-CN-DV. Climatic Change, doi: 10.1007/s10584-020-02879-z
  27. Shi Y, Wang G, 2020: Changes in building climate zones over China based on high-resolution regional climate projections. Environmental Research Letters, https://iopscience.iop.org/article/10.1088/1748-9326/abbde8
  28. Wang G, Kirchhoff C, Seth A, Abatzoglou J, Livneh B, Pierce DW, Fomenko L, Ding T, 2020: Projected changes of precipitation characteristics depend on downscaling method and the training data: LOCA vs. MACA using the U.S. Northeast as an example. Journal of Hydrometeorology, doi:10.1175/JHM-D-19-0275.1
  29. *Mullin CA, Kirchhoff CJ, Wang G, Vlahos P, 2020: Future projections of water temperature and thermal stratification in Connecticut reservoirs and possible implications for cyanobacteria. Water Resources Research, https://doi.org/10.1029/2020WR027185
  30. *Yang MJ, Wang GL, et al., 2020: Impact of planting time soil moisture on cereal crop yield in the Upper Blue Nile Basin: A novel insight towards agricultural water management. Agricultural Water Management, doi:10.1016/j.agwat.2020.106430
  31. *Liu WG, Wang GL, Yu M, et al., 2020: Projecting the future vegetation-climate system over East Asia and its RCP-dependence. Climate Dynamics, doi: 10.1007/s00382-020-05411-2
  32. *Liu WG, Wang GL, Yu M, et al., 2020: Multi-model future projections of the regional vegetation-climate system over Asia: Comparison between two ensemble approaches, JGR-Atmospheres, doi:10.1029/2019JD031967
  33. *Yang M, Wang G, Ahmed KF, et al.,  2020: The role of climate in the trend and variability of Ethiopia’s cereal crop yields. Science of the Total Environment, 723, 137893
  34. Kirchhoff, C. J., and Co-authors, 2019: Climate assessment for local action. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-18-0138.1
  35. Zhou WC et al., 2019: Towards water-saving irrigation methodology: Field test of soil moisture profiling using flat thin mm-sized soil moisture sensors (MSMSs). Sensors & Actuators: B. Chemical, 298, 126857, doi: 10.1016/j.snb.2019.126857
  36. Zhang Z, Wang D, Wang G, Qiu J, Liao W, 2019: Use of SMAP soil moisture and fitting methods in improving GPM estimation in near real time. Remote Sensing, 11(3), 368; doi:10.3390/rs11030368
  37. Liao WL, Wang DG, Wang GL, Xia YL, Liu XP, 2019: Quality Control and Evaluation of the Observed Daily Data in North American Soil Moisture Database. Journal of Meteorological Research, doi: 10.1007/s13351-019-8121-2. s
  38. *Erfanian A, Wang GL, 2018: Explicitly accounting for the role of remote oceans in regional climate modeling of South America. Journal of Advances in Modeling Earth Systems, doi:10.1029/2018MS001444
  39. *Shi Y, Yu M, Erfanian A, Wang GL, 2018: Modeling the dynamic vegetation-climate system over China using a synchronously coupled regional model. Journal of Climate, doi: 10.1175/jclim-d-17-0191.1
  40. *Shi Y, Wang GL, Gao XJ, Xu Y, 2018: Effects of climate and potential policy changes on heating degree days in current heating areas of China. Scientific Reports, 8, 10211, DOI:10.1038/s41598-018-28411-z
  41. Fu C, Lee X, Griffis TJ, Wang GL, Wei Z, 2018: Influences of root hydraulic redistribution on N2O emissions at AmeriFlux sites. Geophysical Research Letters, 45, doi:10.1029/2018GL077789
  42. *Fu C, Wang GL, Bible K, Goulden ML, Saleska SR, Scott RL, Cardon ZG, 2018: Hydraulic redistribution affects modeled carbon cycling via soil microbial activity and suppressed fire. Global Change Biology, doi: 10.1111/gcb.14164
  43. *Shi Y, Wang GL, Gao XJ, 2018: Role of resolution in regional climate change projections over China. Climate Dynamics, 51, 2375-2396, doi:10.1007/s00382-017-4018-x
  44. *Erfanian A, Wang GL, Fomenko L, 2017: Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST. Scientific Reports, doi:10.1038/s41598-017-05373-2
  45. Koster RD et al., 2017: Hydroclimatic variability and predictability: A Survey of recent research. Hydrology and Earth System Sciences, 21, 3777–3798, doi:10.5194/hess-21-3777-2017
  46. *Wang DG, Wang GL, Parr D, Liao WL, Xia YL, Fu CS, 2017: Incorporating remote sensing-based ET estimates into the Community Land Model version 4.5. Hydrology and Earth System Sciences, doi:10.5194/hess-21-1-2017
  47. Xu ZH et al., 2017: Flat thin mm-sized soil moisture sensor (MSMS) fabricated by gold compact discs etching for real-time in situ profiling. Sensors and Actuators B: Chemical, doi: 10.1016/j.snb.2017.05.154
  48. *Kim JH, Kim YJ, Wang GL, 2017: Impacts of boundary condition changes on regional climate projections over West Africa. JGR-Atmospheres, 122, doi:10.1002/2016JD026167
  49. *Erfanian A, Wang GL, Fomenko L, Yu M, 2017: Ensemble-based Reconstructed Forcing (ERF) approach to regional climate modeling: Attaining the performance at a fraction of cost. GRL, 44, doi:10.1002/2017GL073053
  50. Wang GL, Wang DG, Trenberth KE, Erfanian A, Yu M, Bosilovich MG, Parr D, 2017: Peak structure and future changes of the relationships between extreme precipitation and temperature. Nature Climate Change, doi:10.1038/nclimate3239
  51. Wang GL, Ahmed KF, You LZ, Yu M, Pal JS, Ji ZM, 2017: Projecting regional climate and cropland changes using a linked biogeophysical-socioeconomic modeling framework. Part 1: Model description and an equilibrium application. Journal of Advances in Modeling Earth Systems, doi:10.1002/2016MS000712
  52. *Ahmed KF, Wang GL, You LZ, Anyah R, Zhang CR, Burnicki A, 2017: Projecting regional climate and cropland changes using a linked biogeophysical-socioeconomic modeling framework. Part 2: Transient dynamics. Journal of Advances in Modeling Earth Systems, doi:10.1002/2016MS000721
  53. *Erfanian A, Wang GL, Yu M, Anyah R, 2016: Multi-model ensemble simulations of present and future climates over West Africa: impacts of vegetation dynamics. Journal of Advances in Modeling Earth Systems, doi:10.1002/2016MS000660
  54. Liao WL, Wang DG, Liu XP, Wang GL, Zhang JB, 2016: Estimated influence of urbanization on surface warming in Eastern China using time‐varying land use data. International Journal of Climatology, DOI: 10.1002/joc.4908
  55. *Saini R, Wang GL, Pal JS, 2016: Role of soil moisture feedback in the development of extreme summer drought and flood in the United States. Journal of Hydrometeorology, DOI: 10.1175/JHM-D-15-0168.1
  56. *Parr DT, Wang GL, Fu CS, 2016: Understanding Evapotranspiration Trends and their Driving Mechanisms over the NLDAS Domain Based on Numerical Modeling Using CLM4.5, JGR-Atmospheres, 121, doi:10.1002/2015JD024398.
  57. Boone, A., Y. Xue, F. De Sales, R. Comer, S. Hagos, S. Mahanama, K. Schiro, G. Song, G. Wang and C. R. Mechoso, 2016: The regional impact of Land-Use Land-cover Change (LULCC) over West Africa from an ensemble of global climate models under the auspices of the WAMME2 project. Clim. Dyns., DOI: 10.1007/s00382-016-3252-y
  58. Xue, Y, F. De Sales, W. K-M Lau, A. Boone, K.-M. Kim, C. R. Mechoso, G. Wang, and 23 others, 2016: West African monsoon decadal variability and drought and surface-related forcings: Second West African Monsoon Modeling and Evaluation Project Experiment (WAMME II) in the Special Issue “Decadal variability of West African monsoon, external surface forcings, and their modeling”.  Climate Dynamics, DOI: 10.1007/s00382-016-3224-2.
  59. *Fu C, Wang GL, Goulden ML, Scott RL, Bible K, Cardon ZG, 2016: Modeling the hydrological impact of hydraulic redistribution using CLM4.5 at nine AmeriFlux sites. HESS, 20, 2001-2018, doi:10.5194/hess-20-2001-2016
  60. *Yu M, Wang GL, Chen HS, 2016: Quantifying the impacts of land surface schemes and dynamic vegetation on the model dependency of projected changes in surface energy and water budgets. Journal of Advances in Modeling Earth Systems, 8, 370-386, doi: 10.1002/2015MS000492
  61. *Ahmed KF, Wang GL, You L, and Yu M, 2016: Potential impact of climate and socioeconomic changes on future agricultural land use in West Africa, Earth System Dynamics, 7, 151-165, doi:10.5194/esd-7-151-2016.
  62. Wang GL, Yu M., Xue YK, 2015: Modeling the potential contribution of land cover changes to the Sahel drought using a regional climate model: Sensitivity to lateral boundary conditions and experimental approach. Climate Dynamics, DOI: 10.1007/s00382-015-2812-x
  63. *Parr DT, Wang GL, Bjerklie D, 2015: Integrating Remote Sensing Data on Evapotranspiration and Leaf Area Index with Hydrological Modeling: Impacts on Model Performance and Future Predictions. Journal of Hydrometeorology, 16, 2086-2100, DOI: 10.1175/JHM-D-15-0009.1
  64. *Yu M, Wang GL, Pal JS, 2015: Impact of vegetation feedback on future climate change over West Africa. Climate Dynamics, DOI: 10.1007/s00382-015-2795-7
  65. *Ji ZM, Wang GL, Pal JS, Yu M, 2015: Potential climate effect of mineral aerosols’ over West Africa, Part I: model validation and contemporary climate evaluation. Climate Dynamics, DOI 10.1007/s00382-015-2641-y
  66. *Ji ZM, Wang GL, Yu M, Pal JS, 2015: Potential climate effect of mineral aerosols’ over West Africa, Part II: Impact of aerosols and land use on future climate. Climate Dynamics, DOI: 10.1007/s00382-015-2792-x
  67. *Ahmed KF, Wang GL, Miao Yu, You LZ, Koo JW, 2015: Impact of climate changes on cereal crop yields in West Africa. Climatic Change, DOI 10.1007/s10584-015-1462-7
  68. Sylla B, Pal JS, Wang GL, Lawrence P, 2015: Impact of land surface characterization on regional climate modeling over West Africa. Climate Dynamics, 54, DOI 10.1007/s00382-015-2603-4
  69. Wang GL, Miao Y, Pal JS, Rui M, Bonan GB, Levis S, Thornton PE, 2015: On the development of a coupled regional climate-vegetation model RCM-CLM-CN-DV and its validation in Tropical Africa. Climate Dynamics, 46, 515-539, DOI 10.1007/s00382-015-2596-z
  70. *Saini R, Wang GL, Yu M, Kim JH, 2015: Comparison of RCMs and GCMs projections of summer precipitation in West Africa. JGR-Atmospheres,120, 3679-3699, doi:10.1002/2014JD022599.
  71. Wang DG, Jiang P, Wang GL, Wang DS, 2015: Quantitative assessment of correlation between urban extent and extreme precipitation over the Pearl River Delta, China. Atmospheric Sciences Letters, 120, DOI: 10.1002/asl2.559
  72. Li WD, Zhang CR, Dey DK, Wang GL, You LZ, 2015: Bayesian Markov Chain Random Field Cosimulation for Improving Land Cover Classification Accuracy. Mathematical Geosciences, 47, 123-148, DOI 10.1007/s11004-014-9553-y
  73. *Parr DT, Wang GL, Ahmed KF, 2015: Hydrological changes in the U.S. Northeast using the Connecticut River Basin as a case study: Part 2. Projections of the future. Global and Planetary Change, 133, 167-175
  74. *Parr DT, Wang GL, 2014: Hydrological changes in the U.S. Northeast using the Connecticut River Basin as a case study: Part 1. Modeling and analysis of the past. Global and Planetary Change, 122, 208-222
  75. Gu H, Yu ZB, Wang JG, Wang GL, Yang T, Ju Q, Yang CG, Xu F, Fan CH, 2014: Assessing CMIP5 general circulation model simulations of precipitation and temperature over China. International Journal of Climatology, doi: 10.1002/joc.4152
  76. Gu H, Yu ZB, Wang GL, Wang JG, Ju Q, Yang CG, 2014：Impact of climate change on hydrological extremes in the Yangtze River Basin, China. Stochastic Environmental Research and Risk Assessment, 29, 693-707, doi: 10.1007/s00477-014-0957-5
  77. *Yu M, Wang GL, Parr DT, Ahmed KF, 2014: Future changes of the terrestrial ecosystem based on a dynamic vegetation model driven with RCP8.5 climate projections from 19 GCMs, Climatic Change, 127, 257-271, DOI 10.1007/s10584-014-1249-2
  78. *Wu D, Anagnostou EN, Wang GL, Moges S, 2014: Improving the surface-ground water interactions in the Community Land Model: Case study in the Blue Nile Basin. Water Resources Research, 50, 8015-8033, DOI: 10.1002/2013WR014501
  79. Siam M, Wang GL, Demory M-E, Eltahir EAB, 2014: Role of the Inidian Ocean sea surface temperature in shaping the natural variability in the flow of the Nile River. Climate Dynamics, DOI 10.1007/s00382-014-2132-6
  80. *Liu D, Wang GL, Yu ZB, Mei R, 2014: Impact of soil moisture anomalies on climate mean and extremes in Asia. JGR-Atmospheres, 119, 529-545, doi: 10.1002/2013JD020890
  81. *Liu D, Wang GL, Mei R, Yu ZB, Gu HH, 2014: Diagnosing soil moisture-atmosphere feedback at the seasonal and sub-seasonal time scales in Asia. Journal of Hydrometeorology, 15, 1, 320-339, DOI:10.1175/JHM-D-13-0104.1
  82. *Sun SS, Wang GL, 2014: Climate variability attributable to terrestrial and oceanic forcing in NCAR CAM3-CLM3 models. Climate Dynamics, 42, 2067-2078, DOI: 10.1007/s00382-013-1913-7
  83. *Yu M, Wang GL, 2014: Impact of bias correction of lateral boundary conditions on regional climate projections in West Africa. Climate Dynamics, 42, 2521-2538, DOI: 10.1007/s00382-013-1853-2
  84. Zhang C, Wang D, Wang GL, Liu XP, 2013: Regional differences in hydrological responses to canopy interception schemes in a land surface model. Hydrological Processes, DOI: 10.1002/hyp.9762
  85. *Mei R, Wang GL, Gu HH, 2013: Summer land-atmosphere coupling strength over the U.S.: Results from a regional climate model RegCM4.0-CLM3.5. Journal of Hydrometeorology, 14, 946-962, DOI: 10.1175/JHM-D-12-043.1
  86. *Ahmed KF, Wang GL, Silander J, Wilson MA, Allen JM, Horton R, Anyah R, 2013: Statistical Downscaling and Bias Correction of Climate Model Outputs for Climate Change Impact Assessment in the U.S. Northeast. Global and Planetary Changes, 100, 320-332
  87. *Kim YJ, Wang GL, 2012: Soil moisture-vegetation-precipitation feedback over North America: Its sensitivity to soil moisture climatology. Journal of Geophysical Research – Atmosphere, 117, D18115, doi:10.1029/2012JD017584
  88. *Sun SS, Wang GL, 2012: The complexity of using a feedback parameter to quantify the soil moisture-precipitation relationship, JGR-Atmospheres, 117, D11113, doi:10.1029/2011JD017173.
  89. *Mei R, Wang GL, 2012: Summer land-atmosphere coupling strength in the United States: Comparison among observations, reanalysis data and numerical models. Journal of Hydrometeorology, 13, 1010-1022, DOI: 10.1175/JHM-D-11-075.1
  90. *Gu HH, Wang GL, Yu ZB, and Mei R, 2012: Assessing Future Climate Changes and Extreme Indicators in East and South Asia using the RegCM4 regional climate model. Climatic Change, 114, 301-317, DOI 10.1007/s10584-012-0411-y
  91. Wang GL, Alo CC, 2012: Changes in precipitation seasonality in West Africa predicted by RegCM3 and the impact of dynamic vegetation feedback. International Journal of Geophysics, Special Issue on “Advances in Climate Processes, Feedbacks, Variability, and Change for the West Africa Climate System”, doi:10.1155/2012/597205
  92. Wang GL, Sun SS, Mei R, 2011: Vegetation dynamics contributes to the multi-decadal variability of precipitation in the Amazon region, Geophys. Res. Lett., 38, L19703, doi:10.1029/2011GL049017.
  93. *Mei R, Wang GL, 2011: Observational evidence for the impact of large scale oceanic forcing and local soil moisture conditions on warm-season precipitation in the United States. Journal of Hydrometeorology, 12, 1086-1099, DOI: 10.1175/2011JHM1312.1
  94. *Sun SS, Wang GL, 2011: Diagnosing the equilibrium state of a coupled global biosphere-atmosphere model. JGR– Atmospheres, 116, D09108, doi:10.1029/2010JD015224
  95. Wang GL, Alo CA, Mei R, Sun SS, 2011: Droughts, hydraulic redistribution, and their impact on plant composition in the Amazon forests. Plant Ecology, 212, 663-673, DOI: 10.1007/s11258-010-9860-4
  96. Wang GL, 2011: Assessing the potential hydrological impacts of hydraulic redistribution in Amazonia using a numerical modeling approach. Water Resources Research, 47, W02528, doi:10.1029/2010WR009601.
  97. Thibeault J, Seth A, and Wang GL, 2011: Mechanisms of summertime precipitation variability in the Bolivian Altiplano: Present and future. International Journal of Climatology, 31, DOI: 10.1002/joc.2424
  98. *Alo CA, Wang GL, 2010: Role of vegetation dynamics in regional climate predictions over western Africa. Climate Dynamics, 35, 907-922, DOI: 10.1007/s00383-010-0744-z
  99. *Mei R, Wang GL, 2010: Rain follows the logging in Amazon? Interpretation of results from the CAM3-CLM3 model. Climate Dynamics, 34, 983-996, DOI:10.1007/s00382-009-0592-x
  100. Heald CL, Wilkinson MJ, Monsoon RK, Alo CA, Wang GL, Guenther A, 2009: Response of isoprene emission to ambient CO2 changes and implications for global budgets. Global Change Biology, 15, 1127-1140
  101. *Wang DG, Wang GL, Anagnostou EN, 2009: Impact of sub-grid variability of precipitation and canopy water storage on hydrological processes in a coupled land-atmosphere model. Climate Dynamics, 32, 5, 649-662, DOI 10.1007/s00382-008-0435-1
  102. *Wang DG, Anagnostou EN, and Wang GL, 2008: Effects of sub-grid variability of precipitation and canopy water storage on climate model simulations of water cycle in Europe. Advances in Geosciences, 17, 49–53.
  103. *Sun XM, Wang GL, 2008: Comparing the ability of a genetic algorithm based clustering analysis and a physically based dynamic vegetation model to predict vegetation distribution Journal of Geophysical Research — Biogeosciences, 113, G03007, doi:10.1029/2007JG000655
  104. *Alo C, Wang GL, 2008: Hydrological impact of the potential future vegetation response to climate changes projected by 8 GCMs, Journal of Geophysical Research – Biogeosciences, 113, G03011, doi:10.1029/2007JG000598.
  105. *Alo C, Wang GL, 2008: Potential future changes of the terrestrial ecosystem based on climate projections by eight general circulation models, Journal of Geophysical Research – Biogeosciences, 113, G01004, doi:10.1029/2007JG000528.
  106. *Zheng Z, Wang GL, 2007: Modeling the dynamic root water uptake and its hydrological impact at the Reserva Jaru site in Amazonia, J. Geophys. Res. — Biogeosciences, 112, G04012, doi:10.1029/2007JG000413.
  107. * Wang DG, Wang GL, Anagnostou EN, 2007 Validation of canopy hydrological schemes in land surface models. Journal of Hydrology, 347, 308-318
  108. *Kim YJ, Wang GL, 2007: Impact of initial soil moisture anomalies on subsequent precipitation over North America. Journal of Hydrometeorology, 8, 3, 513-533
  109. *Kim YJ, Wang GL, 2007: Impact of vegetation feedback on the response of precipitation to antecedent soil moisture anomalies over North America. Journal of Hydrometeorology, 8, 3, 534-550
  110. *Wang DG, Wang GL, 2007: Towards a robust canopy hydrology scheme with precipitation sub-grid variability. Journal of Hydrometeorology, 8, 3, 439-446
  111. Wang GL, Kim YJ, Wang DG, 2007: Quantifying the strength of soil moisture-precipitation coupling and its sensitivity to changes in surface water budget. Journal of Hydrometeorology, 8, 3, 551-570
  112. *Wang DG, Anagnostou EN, Wang GL, 2006: The effect of sub-grid precipitation variability on the water balance and flux exchange processes resolved at climate scale: The European region contrasted to Africa and Amazon rainforests. Advances in Geosciences, 7, 269-274
  113. Zeng XB, Dickinson RE, Barlage M, Dai YJ, Wang GL, Oleson K, 2005: Treatment of undercanopy turbulence in land models. Journal of Climate, 18, 5086-5094
  114. Wang GL, 2005: Agricultural drought in a future climate: results from fifteen global climate models participating in the Inter-governmental Panel for Climate Change’s 4th Assessment. Climate Dynamics, 25, 739-753, DOI: 10.1007/s00382-005-0057-9
  115. *Wang DG, Wang GL, Anagnostou EN, 2005: Use of satellite-based precipitation observation in improving the parameterization of canopy hydrological processes in land surface models. Journal of Hydrometeorology, 6, 745-763
  116. *Kim Y, Wang GL, 2005: Modeling seasonal vegetation variation and its validation against Moderate Resolution Imaging Spectroradiometer (MODIS) observations over North America, JGR – Atmospheres., 110, D04106, doi:10.1029/2004JD005436.
  117. Wang GL, 2004: “A conceptual modeling study on biosphere-atmosphere interactions and its implications for physically based climate modeling”. Journal of Climate, 17 (13), 2572-2583
  118. Wang GL, You LZ, 2004: Delayed impact of NAO on vegetation productivity in Asia. Geophysical Research Letters, 31, L12210, doi: 10.1029/2004GL019766
  119. Wang GL, Eltahir EAB, Foley JA, Pollard D, Levis S, 2004: Decadal variability of rainfall in the Sahel: results from the coupled GENESIS-IBIS atmosphere-biosphere model. Climate Dynamics, 22(6-7), 625-637, doi: 10.1007/s00382-004-0411-3
  120. Wang GL, Schimel DS, 2003: “Climate Change, Climate Modes, and Climate Impacts”, Annual Review for Environment and Resources 28, 1-28
  121. Wang GL, Jenkins GS, 2003: “Desert and Desertification”, Encyclopedia of Atmospheric Sciences, Holton J, Pyle J, Curry J (eds.), 633-640. Academic Press, London, UK
  122. Dickinson RE, Wang GL, Zeng XB, Zeng QC, 2003: How does the partitioning of evapotranspiration and runoff between different processes affect the variability and predictability of soil moisture and precipitation? Advances of Atmospheric Sciences, 20(3), 475-478
  123. Wang GL, 2003: Reassessing the impact of North Atlantic Oscillation on the sub-Saharan vegetation productivity. Global Change Biology, 9(4), 493-499
  124. Foley JA, Coe MT, Scheffer M, Wang GL, 2003: Regime Shifts in the Sahara and Sahel: Interactions between Ecological and Climatic Systems in Northern Africa. Ecosystems, 6, 524-539 (doi: 10.1007/s10021-002-0227-0)
  125. Irizarry-Ortiz MM, Wang GL, Eltahir EAB, 2003: Role of the biosphere in the mid-Holocene climate of West Africa. Journal of Geophysical Research – Atmospheres, 108, doi: 10.1029/2001JD000989
  126. Wang GL, Eltahir EAB, 2002: Impact of CO2 concentration changes on the biosphere-atmosphere system in West Africa. Global Change Biology, 8, 1169-1182
  127. Wang GL, Eltahir EAB, 2000a: Modeling the biosphere-atmosphere system: the impact of the sub-grid variability in rainfall interception. Journal of Climate, Vol.13, No.16, 2887-2899
  128. Wang GL, Eltahir EAB, 2000b: The role of ecosystem dynamics in enhancing the low-frequency variability of the Sahel rainfall. Water Resources Research, Vol.36, No.4, 1013-1021
  129. Wang GL, Eltahir EAB, 2000c: Ecosystem dynamics and the Sahel drought. Geophysical Research Letters, Vol.27, No.6, 795-798
  130. Wang GL, Eltahir EAB, 2000d: Biosphere-atmosphere interactions over West Africa. Part 1: Development and validation of a coupled dynamic model. Quarterly Journal of the Royal Meteorological Society, Vol.126, No.565, 1239-1260.
  131. Wang GL, Eltahir EAB, 2000d: Biosphere-atmosphere interactions over West Africa. Part 2: Multiple climate equilibria. Quarterly Journal of the Royal Meteorological Society, Vol.126, No.565, 1261-1280
  132. Wang GL, Eltahir EAB, 1999: Use of ENSO information in the medium- to long-range forecasting of the Nile flood. Journal of Climate, Vol.12, No.6, 1726-1737
  133. Eltahir EAB, Wang GL, 1999: Nilometers, El Nino, and climate variability. Geophysical Research Letters, Vol.26, No.4, 489-452
  134. Yang MQ, Wang GL, Zhen FR, 1997: The Study on Hydro-Dynamic Model of Deposition in Sewage Stabilized Ponds. Journal of Sediment Research, No.4, 30-36 (China)
  135. Yang MQ, Wang GL, 1996: Formulas for incipient motion of mud with different densities. International Journal of Sediment Research, Vol.11, No.1, 34-42
  136. Yang MQ, Wang GL, 1995: The incipient motion for cohesive fine sediments. Journal of Basic Science and Engineering, Vol.3, No.1, 99-109 (China)