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Feifei Pan

Title: Professor

Department: Geography and the Environment

College: College of Liberal Arts and Social Sciences

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Georgia Institute of Technology, 2002
    Major: Civil Engineering
    Specialization: Water Resources and Hydrology
  • MS, Yale University, 1997
    Major: Geology & Geophysics
  • MS, National Research Center for Marine Environmental Forecasts, 1991
    Major: Marine Meteorology
  • BS, Nanjing University, 1988
    Major: Atmospheric Sciences
    Specialization: Atmospheric Physics

Current Scheduled Teaching

GEOG 4750.001Surface Water HydrologySpring 2025
GEOG 5750.001Surface Water HydrologySpring 2025
GEOG 1710.006Earth ScienceFall 2024 Syllabus
GEOL 3010.001Environmental GeologyFall 2024 Syllabus
GEOG 5920.704Research Problems in Lieu of ThesisFall 2024

Previous Scheduled Teaching

GEOG 1200.401Global SocietiesSummer 5W1 2024 Syllabus SPOT
BIOL 5900.783Special ProblemsSummer 5W1 2024
BIOL 5900.783Special ProblemsSummer 5W2 2024
GEOG 5900.702Special ProblemsSummer 5W1 2024
GEOG 5950.700Master's ThesisSpring 2024
BIOL 5900.783Special ProblemsSpring 2024
GEOG 5900.706Special ProblemsSpring 2024
GEOG 4750.001Surface Water HydrologySpring 2024 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2024 SPOT
GEOG 3800.001Weather and ClimateSpring 2024 Syllabus SPOT
GEOG 1710.004Earth ScienceFall 2023 Syllabus SPOT
GEOL 3010.001Environmental GeologyFall 2023 Syllabus SPOT
BIOL 5900.783Special ProblemsFall 2023
GEOG 5900.706Special ProblemsSpring 2023
GEOG 4750.001Surface Water HydrologySpring 2023 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2023 SPOT
GEOG 3800.001Weather and ClimateSpring 2023 Syllabus SPOT
GEOG 1710.004Earth ScienceFall 2022 Syllabus SPOT
GEOL 3010.001Environmental GeologyFall 2022 Syllabus SPOT
BIOL 5900.783Special ProblemsSpring 2022
BIOL 5910.783Special ProblemsSpring 2022
GEOG 4750.001Surface Water HydrologySpring 2022 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2022 SPOT
GEOG 3800.001Weather and ClimateSpring 2022 Syllabus SPOT
GEOG 1710.004Earth ScienceFall 2021 Syllabus SPOT
GEOL 3010.001Environmental GeologyFall 2021 Syllabus SPOT
GEOG 4875.002Earth Science TopicsSpring 2021 Syllabus SPOT
GEOG 5900.714Special ProblemsSpring 2021 Syllabus
GEOG 4750.001Surface Water HydrologySpring 2021 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2021 Syllabus SPOT
GEOG 1710.003Earth ScienceFall 2020 Syllabus SPOT
GEOL 3010.001Environmental GeologyFall 2020 Syllabus SPOT
GEOG 1710.005Earth ScienceSpring 2020 Syllabus
GEOG 5950.714Master's ThesisSpring 2020
GEOG 4750.001Surface Water HydrologySpring 2020 Syllabus
GEOG 5750.001Surface Water HydrologySpring 2020
GEOG 1710.004Earth ScienceFall 2019 Syllabus SPOT
GEOG 4875.001Earth Science TopicsFall 2019 Syllabus SPOT
GEOG 5960.003Geography InstituteFall 2019 SPOT
GEOG 5950.714Master's ThesisFall 2019
GEOG 1710.005Earth ScienceSpring 2019 Syllabus SPOT
GEOG 5950.714Master's ThesisSpring 2019
GEOG 4750.001Surface Water HydrologySpring 2019 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2019 SPOT
GEOG 1710.005Earth ScienceSpring 2018 Syllabus SPOT
GEOG 5950.714Master's ThesisSpring 2018
GEOG 4750.001Surface Water HydrologySpring 2018 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2018 SPOT
GEOG 1710.004Earth ScienceFall 2017 Syllabus SPOT
GEOG 1710.005Earth ScienceFall 2017 Syllabus SPOT
GEOG 5950.714Master's ThesisFall 2017
GEOG 2900.701Special ProblemsFall 2017
GEOG 1710.005Earth ScienceSpring 2017 Syllabus SPOT
GEOG 2900.702Special ProblemsSpring 2017
GEOG 4750.001Surface Water HydrologySpring 2017 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2017 SPOT
GEOG 1710.004Earth ScienceFall 2016 Syllabus SPOT
GEOG 1710.005Earth ScienceFall 2016 Syllabus SPOT
GEOG 1710.005Earth ScienceSpring 2016 Syllabus SPOT
GEOG 4750.001Surface Water HydrologySpring 2016 Syllabus SPOT
GEOG 5750.001Surface Water HydrologySpring 2016 SPOT
GEOG 1710.004Earth ScienceFall 2015 Syllabus SPOT
GEOG 1710.005Earth ScienceFall 2015 Syllabus SPOT
GEOG 5950.714Master's ThesisFall 2015
GEOG 4070.001China Field SchoolSummer 8W1 2015 SPOT
GEOG 5075.001China Field SchoolSummer 8W1 2015 SPOT
GEOG 1710.005Earth ScienceSpring 2015 Syllabus
BIOL 6940.783Individual ResearchSpring 2015
GEOG 5950.714Master's ThesisSpring 2015
GEOG 4750.001Surface Water HydrologySpring 2015 Syllabus
GEOG 5750.001Surface Water HydrologySpring 2015
GEOG 1710.004Earth ScienceFall 2014 Syllabus
GEOG 1710.005Earth ScienceFall 2014 Syllabus
BIOL 6940.783Individual ResearchFall 2014
GEOG 1710.005Earth ScienceSpring 2014 Syllabus
BIOL 6940.783Individual ResearchSpring 2014
GEOG 4750.001Surface Water HydrologySpring 2014 Syllabus
GEOG 5750.001Surface Water HydrologySpring 2014
GEOG 1710.005Earth ScienceFall 2013 Syllabus
BIOL 6940.783Individual ResearchFall 2013
GEOL 4850.001Introduction to Groundwater HydrologyFall 2013 Syllabus
GEOL 5850.001Introduction to Groundwater HydrologyFall 2013
BIOL 6940.783Individual ResearchSummer 5W1 2013
GEOG 1710.003Earth ScienceSpring 2013 Syllabus
BIOL 6940.783Individual ResearchSpring 2013
GEOG 4750.001Surface Water HydrologySpring 2013 Syllabus
GEOG 5750.001Surface Water HydrologySpring 2013
GEOG 1710.004Earth ScienceFall 2012 Syllabus
GEOG 5400.001Environmental ModelingFall 2012
GEOG 5900.714Special ProblemsSummer 5W1 2012
GEOG 4750.001Fluvial GeomorphologySpring 2012 Syllabus
GEOG 5960.002Geography InstituteSpring 2012
GEOL 4850.001Introduction to Groundwater HydrologySpring 2012 Syllabus
GEOL 5850.001Introduction to Groundwater HydrologySpring 2012
GEOG 1710.004Earth ScienceFall 2011 Syllabus
GEOL 4650.001Environmental GeologyFall 2011 Syllabus
GEOL 5650.001Environmental GeologyFall 2011
GEOG 5900.714Special ProblemsSummer 5W2 2011
GEOG 4750.001Fluvial GeomorphologySpring 2011 Syllabus
GEOG 5960.002Geography InstituteSpring 2011
GEOL 4850.001Introduction to Groundwater HydrologySpring 2011 Syllabus
GEOL 5850.001Introduction to Groundwater HydrologySpring 2011
GEOG 1710.004Earth ScienceFall 2010 Syllabus
GEOG 5400.001Environmental ModelingFall 2010
GEOG 4750.001Fluvial GeomorphologySpring 2010 Syllabus
GEOG 5960.002Geography InstituteSpring 2010
GEOL 4850.001Introduction to Groundwater HydrologySpring 2010 Syllabus
GEOL 5850.001Introduction to Groundwater HydrologySpring 2010
GEOG 1710.004Earth ScienceFall 2009 Syllabus
GEOG 5150.001Water Resources SeminarFall 2009

Published Intellectual Contributions

    Book Chapter

  • Cherry J.E., Dery S.J., Cheng Y., Stieglitz M., Jacobs A., and Pan F.. (2014). Climate and Hydrometeorology of Toolik Lake Region and the Kuparuk River Basin: Past, Present, and Future. http://ukcatalogue.oup.com/product/9780199860401.do
  • Conference Proceeding

  • McClelland J.W., Townsend-Small A., Holmes R.M., Stieglitz M., Pan F., and Peterson B.J.. (2009). Nutrient and Organic Matter Export from Rivers to the Alaskan Beaufort Sea: Contemporary Estimates, Implications for Coastal Productivity, and Potential Changes in the Future. Poster presented in 2009 American Geophysical Union Fall Meeting, San Francisco, CA. Dec.14-18, 2009.
  • Pan F., Stieglitz M., and McKane R.B.,. (2006). A simple hydrologic model for watershed characterization. Eos Trans. AGU, 87(52), Fall Meet. Suppl. Abstract H52C-06..
  • Stieglitz M., Pan F., McKane R.B., and Kwiatkowski. (2006). The downslope propagation of a disturbance in a forested catchment: an eco-hydrologic simulation study. Eos Trans. AGU, 87(52), Fall Meet. Suppl. Abstract B22E-05..
  • Patil S., Pan F., and Stieglitz M.. (2006). The use of logistic curves to simulate lateral flow in hydrologic models. Eos Trans. AGU, 87(52), Fall Meet. Suppl. Abstract H43E-0544..
  • Peters-Lidard, C.D., Pan F., Hsu A., and O'Neill P. (2001). ESTAR - and Model -Derived Multiscaling Characteristics of Soil Moisture during SGP97, Washita'92, and Washita'94. Proc. of IGARSS'01, Sydney, Australia, July 9-13, 2001..
  • Journal Article

  • Pan, F. He H., Hu Q., Pan F., and Pan X., Evaluating nitrogen management practices for greenhouse gas emission reduction in a maize farmland in the North China Plain: Adapting to climate change. Plants, 10.3390/plants12213749, 2023. Plants. MDPI.
  • Pan, F. Liang L., Guo H., Liang S., Li X., Moore J.C., Li X., Cheng X., Wu W., Liu Y., Rinke A., Jia G., Pan F., and Cong C., Delayed Antarctic melt season reduces albedo feedback. National Science Review, 10.1093/nsr/nwad157, 2023..
  • Pan, F. Wang J., Pan F., An P., Han G., Jiang K., Song Y., Huang N., Zhang Z., Ma S., Chen X., and Pan Z., Atmospheric water vapor transport between ocean and land under climate warming. Journal of Climate, 10.1175/JCLI-D-22-0106.1, 2023.. Journal of Climate.
  • Pan, F. Jiang K., Pan Z., Pan F., Teuling A.J., Han G., An P., Chen X., Wang J., Song Y., Cheng L., Zhang Z., Huang N., Ma S., Gao R., Zhang X., Men J., Lv X., and Dong Z., Combined influence of soil moisture and atmospheric humidity on land surface temperature under different climatic background. iScience, 10.1016/j.isci.2023.106837, 2023.. iScience.
  • Omotere, O., Pan, F., Wang, L. (2022). Using solar radiation data in soil moisture diagnostic equation for estimating root-zone soil moisture. PeerJ, 10.7717/peerj.14561, 2022..
  • Wang, J., Pan, F., Pan, Z. (2022). Impacts of El Nino-Southern Oscillation on tropical precipitation via triggering anomaly water vapour transport from ocean to land. International Journal of Climatology, 10.1002/joc.7948, 2022..
  • Jiang, K., Pan, Z., Pan, F. (2022). The global spatiotemporal heterogeneity of land surface-air temperature difference and its influencing factors. Science of The Total Environment, 838, 156214, 2022..
  • Qian, S., Pan, F., Wu, M., Sun, Y. (2022). Appropriate protection time and region for Qinghai-Tibet Plateau grassland. Open Geosciences, 14, 706-716, 2022.
  • Jiang, K., Pan, Z., Pan, F., Wang, J., Han, G., Song, Y., Zhang, Z., Huang, N., Ma, S., Chen, X. (2022). Influence patterns of soil moisture change on surface-air temperature difference under different climatic background. Science of The Total Environment, 822, 153607, 2022. Science of the Total Environment. 822
  • Wang, Y., Yan, W., Han, H., Pan, F., Cheng, L., Liu, W. (2021). Changes of deep soil water content in the process of large-scale apple tree planting on the loess tableland of China. Forests, 12(2), 123..
  • Pan, F., Nagaoka, L., Wolverton, S.J., Atkinson, S.F., Kohler, T.A., O'Neill II, M. (2021). A Constrained Stochastic Weather Generator for Daily Mean Air Temperature and Precipitation. Atmosphere. 12 (2) 22 pgs..
  • Lao , J., Wang, C., Wang , J., Pan, F., Xi, X., Liang, L. (2020). Land use simulation of Guangzhou based on nighttime light data and planning policies. Remote Sensing, 12, 1675.
  • Pan, F., Xi, X., Wang, C. (2020). A comparative study of water indices and image classification algorithms for mapping inland water bodies using Landsat imagery. Remote Sensing, 12(10), 1611..
  • Zhang, Z., Pan, Z., Pan, F., Zhang, J., Han, G., Huang, N., Wang , J., Pan, Y., Wang, Z., Peng, R. (2020). The change characteristics and interactions of soil moisture and temperature in the farmland in Wuchuan County, Inner Mongolia, China. Atmosphere, 11(5), 503..
  • Dong, W., Li, C., Hu, Q., Pan, F., Bhandari, J., Sun, Z. (2020). Potential evapotranspiration reduction and its influence on crop yield in the North China Plain in 1961-2014. Advances in Meteorology, 3691421..
  • Zhu, X., Wang, C., Nie, S., Pan, F., Xi, X., Hu, Z. (2020). Mapping forest height using photon-counting LiDAR data and Landsat 8 OLI data: A case study in Virginia and North Carolina, USA. Ecological Indicators,114, 106287, 2020.
  • Wang, J., Pan, Z., Pan, F. (2020). The regional water-conserving and yield-increasing characteristics and suitability of soil tillage practices in Northern China.. 228 https://www.sciencedirect.com/science/article/pii/S0378377419309928
  • Zhao, H., Xi, X., Wang, C., Pan, F. (2020). Ground surface recognition at voxel scale from mobile laser scanning data in urban environment.. 17 (2) 317-321. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8827918
  • Pan, F., Xi, X., Wang, C. (2019). A Matlab-based digital elevation model (DEM) data processing toolbox (MDEM).. Environmental Modelling & Software. 122 Elsevier. https://www.sciencedirect.com/science/article/pii/S136481521930739X
  • Chen, S., Wang, C., Dai, H., Zhang, H., Pan, F. (2019). Power pylon reconstruction based on abstract template structures using airborne LiDAR data. 11 (13) https://www.mdpi.com/2072-4292/11/13/1579
  • Hu, Q., Ma, X., He, H., Pan, F. (2019). Warming and Dimming: interactive impacts on potential summer maize yield in North China Plain.. 11 (9https://www.mdpi.com/2071-1050/11/9/2588) https://www.mdpi.com/2071-1050/11/9/2588
  • Ling, F., Pan, F. (2019). Quantifying impacts of mean annual lake bottom temperature on talik development and permafrost degradation below expanding thermokarst lakes on the Qinghai-Tibet Plateau.. 11 (4) https://www.mdpi.com/2073-4441/11/4/706
  • Yang, X., Wang, C., Pan, F. (2018). Retrieving leaf area index in discontinuous forest using ICESat/GLAS full-waveform data based on gap fraction model.. Other. 148 (2) 54-62. Amsterdam, Elsevier. https://www.sciencedirect.com/science/article/pii/S092427161830337X
  • Pan, F. (2018). Evaluation of climate change impacts on wetland vegetation in Dunhuang Yangguan National Nature Reserve in northwest China using Landsat derived NDVI.. Other. 10 (5) 735/18. Basel, MDPI. http://www.mdpi.com/2072-4292/10/5/735
  • Qin, H., Wang, C., Pan, F. (2017). Estimation of FPAR and FPAR profile for maize canopies using airborne LiDAR.. Other. 83 (12) 53-61. Amsterdam, Elsevier. http://www.sciencedirect.com/science/article/pii/S1470160X17304570
  • Hu, Q., Pan, F. (2017). Dry-wet variations and cause analysis in Northeast China at multi-time scales.. Other. 133 775-786. Berlin, Springer. https://link.springer.com/article/10.1007/s00704-017-2222-6
  • Hu, Q., Pan, F. (2017). Adjusting sowing dates improved potato adaptation to climate change in semiarid region, China.. Sustainability. 9 (4) 615. Basel, MDPI. http://www.mdpi.com/2071-1050/9/4/615
  • Luo, S., Wang, C., Xi, X., Pan, F. (2017). Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data.. Other. 58 107-117. Amsterdam, Elsevier. http://www.sciencedirect.com/science/article/pii/S0303243417300168
  • Pan, F., Nieswiadomy, M.L. (2016). Estimating daily root-zone moisture in snow-dominated regions using an empirical soil moisture diagnostic equation. Journal of Hydrology. 542 938-952.
  • Hu Q., Pan F., Pan X., Li Q., Shao C., Pan Z., and Wei Y.. (2016). Trends in agricultural heat and solar radiation resources in Northeast China: A multistage spatio-temporal analysis.. 36 (6) 2461-2468. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0088
  • Luo, S., Wang, C., Xi, X., Pan, F. (2016). Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation.. Other. 73 378-387. Amsterdam, Elsevier. http://www.sciencedirect.com/science/article/pii/S1470160X16305878
  • Pan, F. (2016). Constructing river stage-discharge rating curves using remotely sensed river cross-sectional inundation areas and river bathymetry.. Journal of Hydrology. 540 670-6687. http://www.sciencedirect.com/science/article/pii/S0022169416303754
  • Xi, X., Han, T., Wang, C., Luo, S., Xia, S., Pan, F. (2016). Forest above ground biomass inversion by fusing GLAS with optical remote sensing data. Other. 5 (4) 45. Basel, MDPI. http://www.mdpi.com/2220-9964/5/4/45/htm
  • 48. Pan, Feifei, Michael Nieswiadomy, and Shuan Qian,. (2015). Application of a soil moisture diagnostic equation for estimating root-zone soil moisture in arid and semi-arid regions. Journal of Hydrology. 524 296-310. http://dx.doi.org/10.1016/j.jhydrol.2015.02.044
  • Hu Q., Pan F., Pan X., Zhang D., Yang N., Pan Z., and Wei Y.. (2015). Spatial analysis of climate change in Inner Mongolia during 1961-2012. 60 254-260. http://www.journals.elsevier.com/applied-geography/
  • Xia, S., Wang, C., Pan, F. (2015). Detecting stems in dense and homogeneous forest using single-scan TLS.. 6 (11) 3923-3945.
  • Luo S., Wang C., Pan F., Xi X., Li G., Nie S., and Xia S.. (2014). http://www.sciencedirect.com/science/article/pii/S1470160X14004567#
  • Pan, F. (2014). A signal to noise ratio (SNR)-based quality assessment method for ICESat/GLAS waveform data.. Optical Engineering. SPIE. http://opticalengineering.spiedigitallibrary.org/article.aspx?articleid=1916574
  • F Pan. (2014). An innovative and robust approach to measure river discharge from space using Landsat imagery. Association of American Geographers Annual Meeting, Tampa, FL. Apr.8-12, 2014..
  • Hu Q., F. Pan, X. Pan, D. Zhang, N. Yang, Z. Pan, P. Zhao, and D. Tuo. (2014). Effects of a ridge-furrow micro-field rainwater-harvesting system on potato yield in a semi-arid region. Field Crops Research, 166, 92-101. (link) Related Links: http://www.sciencedirect.com/science/article/pii/S0378429014001506. http://www.sciencedirect.com/science/article/pii/S0378429014001506
  • Luo S., C. Wang, X. Xi and F. Pan. (2014). Estimating FPAR of maize canopy using airborne discrete-return LiDAR data. Optics Express, 22, DOI:10.1364/OE.22.005106, 5106-5117. (link) Related Links: https://www.academia.edu/6234397/Luo_S._Wang_C._Xi_X._and_Pan_F._Estimating_FPAR_of_maize_canopy_using_airborne_discrete-return_LiDAR_data._Optics_Express_22_DOI_10.1364_OE.22.005106_5106-5117_2014. http://www.opticsinfobase.org/oe/abstract.cfm?uri=oe-22-5-5106
  • L. Nagaoka, F. Pan and S. Wolverton. (2014). Modeling hydrology and crop failure in dryland agriculture. Society for American Archaeology Annual Meeting, Austin, Texas, April 23-27, 2014..
  • McClelland J., A. Townsend-Small, R. Holmes, F. Pan, M. Stieglitz, M. Khosh, and B. Peterson. (2014). Nutrient and Organic Matter Export from the North Slope of Alaska to the Beaufort Sea. Water Resources Research. 50(2), 1823-1839. (link) Related Links: http://onlinelibrary.wiley.com/doi/10.1002/2013WR014722/abstract. http://onlinelibrary.wiley.com/doi/10.1002/2013WR014722/full
  • Nie S., Wang C., Li G., Pan F., Xi X., and Luo S.. (2014). Signal to noise ratio (SNR)-based quality assessment method for ICESat/GLAS waveform data.. 53 http://opticalengineering.spiedigitallibrary.org/article.aspx?articleid=1916574
  • Pan, F. (2014). Spatial analysis of climate change in Inner Mongolia during 1961-2012, China.. Applied Geography. 60 254-260. Amsterdam, Elsevier. http://www.sciencedirect.com/science/article/pii/S014362281400246X
  • Pan, F. (2014). Estimation of wetland vegetation height and leaf area index using airborne laser scanning data.. Other. 48 550-559. Amsterdam, Elsevier. http://www.sciencedirect.com/science/article/pii/S1470160X14004567#
  • Pan F., Liao J., Li X., and Guo H.. (2013). Application of the inundation area-lake level rating curves constructed from the SRTM DEM to retrieving lake levels from satellite measured inundation areas. Computers & Geosciences. 52, 168-176. (Link) Related Links: http://www.academia.edu/2582911/Pan_F._Liao_J._Li_X._and_Guo_H._Application_of_the_inundation_area-lake_level_rating_curves_constructed_from_the_SRTM_DEM_to_retrieving_lake_levels_from_satellite_measured_inundation_areas._Computers_and_Geosciences_52_168-176_2013. http://www.sciencedirect.com/science/article/pii/S0098300412003342
  • Abdelnour, A., R. McKane, M. Stieglitz, F. Pan, and Y. Cheng. (2013). Effects of harvest on carbon and nitrogen dynamics in a Pacific Northwest forest catchment. Water Resources Research, 49,doi: 10.1029/2012WR012994..
  • J Pan, M Stieglitz, Y Cheng, F Pan. (2013). Predicting Real-Time Soil Carbon Fluxes in Alaska at High Spatial Resolution. American Geophysical Union Fall 2013 Meeting, San Francisco, CA. Dec.9-13, 2013..
  • Pan F.. (2013). Remote sensing of river stage and discharge, SPIE Newsroom, DOI: 10.1117/2.1201212.004611. (Invited Paper) (link) Related Links: http://spie.org/x91480.xml. http://spie.org/x91480.xml?pf=true&ArticleID=x91480
  • Pan F. and Nichols J.. (2013). Remote sensing of river stage using the cross sectional inundation area - river stage relationship (IARSR) constructed from digital elevation model data. Hydrological Processes, 27, 3596-3606. (Abstract) Related Links: http://onlinelibrary.wiley.com/doi/10.1002/hyp.9469/abstract. http://onlinelibrary.wiley.com/doi/10.1002/hyp.9469/full
  • Pan F., Stieglitz M., and McKane R.. (2012). An algorithm for treating flat areas and depressions in digital elevation models using linear interpolation. Water Resources Research, 48(2), W00L10, doi:10.1029/2011WR010735. (PDF) Related Links: http://www.geog.unt.edu/~fpan/phtml/fpan_wrr2012.pdf. http://onlinelibrary.wiley.com/doi/10.1029/2011WR010735/full
  • Pan F. and King A.W.. (2012). Downscaling 1-km topographic index distributions to a finer resolution for the TOPMODEL-based GCM hydrological modeling. Journal of Hydrologic Engineering, 17(2), 243-251. (PDF) Related Links: http://www.geog.unt.edu/~fpan/phtml/Pan_king_2012.pdf. http://ascelibrary.org/doi/abs/10.1061/(ASCE)HE.1943-5584.0000438
  • Pan F.. (2012). Estimating daily surface soil moisture using a daily diagnostic soil moisture equation. Journal of Irrigation & Drainage Engineering,138(7), 625-631, 2012. (PDF) Related Links: http://geography.unt.edu/~fpan/phtml/panff2012_smde.pdf. http://ascelibrary.org/doi/abs/10.1061/(ASCE)IR.1943-4774.0000450
  • Pan F., McKane R., and Stieglitz M.. (2012). Identification of optimal soil hydraulic functions and parameters for predicting soil moisture. Hydrological Sciences Journal, 57(4), 723-737, 2012 (PDF) Related Links: http://geography.unt.edu/~fpan/phtml/pan_hsj2012.pdf. http://www.tandfonline.com/doi/abs/10.1080/02626667.2012.674642#.VGpPnlfF8nQ
  • Pan F., Guo H., Li X., Liao J., and Wang C. (2012). The impact of climate change on lake level variation in the Tibetan lakes: Landsat observations and numerical simulations. Annual Meeting of the Southwest Division of the Association of American Geographers (SWAAG). Oct. 25-27, 2012, Las Cruces, NM..
  • Osborne-Gowey J., Bachelet D., Hamlet A., Garcia E., Tague C., McKane R., Abdelnour A., Stieglitz M., and Pan F.. (2011). Assessing the Skill of Hydrology Models at Simulating the Water Cycle in the HJ Andrews LTER: Assumptions, Strengths and Weaknesses. American Fisheries Society 141st Annual Meeting, Seattle, WA, Sept. 4-8, 2011..
  • Abdelnour A., Stieglitz M., Pan F., and McKane R.B.. (2011). Catchment Hydrological Responses to Forest Harvest Amount and Spatial Pattern, Water Resources Reserach, 47, doi:10.1029/2010WR010165. (PDF) Related Links: http://www.geog.unt.edu/~fpan/phtml/Abdelnour2011.pdf.
  • McKane R., Abdelnour A., Brookes A., Djang K., Jordan T.E., Kwiatkowski B., Pan F., Peterjohn W.T., Stieglitz M., Skibbe A., and Weller D.E.,. (2011). Riparian forest effects on nitrogen export to an agricultural stream inferred from experimental data and a model. American Geophysical Union Fall 2011 Meeting, San Francisco, CA. Dec.5-9, 2011..
  • Pan F., Li Y., and Liao J. (2011). The Effects of Climate Change on Water Level Variations in the Tibetan Lakes. The American Society for Photogrammetry and Remote Sensing 2011 Annual Conference, May 1-5, Milwaukee, Wisconsin..
  • Cheng Y., Stieglitz M., and Pan F.. (2010). A simple method to evolve daily ground temperatures from surface air temperatures in snow dominated regions. Journal of Hydrometeorology, 11(6), 1395-1404. (PDF) Related Links: http://www.geog.unt.edu/~fpan/phtml/chengetal2010.pdf.
  • Qian S., Fu Y., and Pan F.. (2010). Climate change tendency and grassland vegetation response during the growth season in Three-River Source Region. Science China Earth Sciences, 53(10), 1506-1512. (PDF) Related Links: http://www.geog.unt.edu/~fpan/phtml/Qian2010.pdf.
  • Pan F., Peters-Lidard C.D., and King A.W.. (2010). Inverse method for estimating the spatial variability of soil particle size distribution from observed soil moisture. Journal of Hydrologic Engineering, 15(11), 931-938. (PDF) Related Links: http://www.geog.unt.edu/~fpan/phtml/panff2010.pdf.
  • Pan F., Li Y., and Liao J. (2010). The effect of the uncertainties in soil hydraulic functions and parameters on soil moisture predictions. The 33rd Applied Geography Conference, Oct. 20-23, 2010, Forth Worth, Texas..
  • Pan F., and Peters-Lidard C.D.. (2008). On the relationship between the mean and variance of soil moisture fields. Journal of the American Water Resources Association. 44(1), 235-242..
  • McClelland J.W., Stieglitz M., Pan F., Holmes R.M., and Peterson B.J.. (2007). Recent changes in nitrate and dissolved organic carbon export from the Upper Kuparuk River, North Slope, Alaska. Journal of Geophysical Research--Biogeosciences,112(G4), G04S60, 10.1029/2006JG000371..
  • Pan F., Stieglitz M., and McKane R.B.. (2006). A simple hydrologic model for watershed characterization. Eos Trans. AGU, 87(52), Fall Meet. Suppl. Abstract H52C-06..
  • Stieglitz M., Pan F., McKane R.B., and Kwiatkowski. (2006). Stieglitz M., Pan F., McKane R.B., and Kwiatkowski, 2006: The downslope propagation of a disturbance in a forested catchment: an eco-hydrologic simulation study. Eos Trans. AGU, 87(52), Fall Meet. Suppl. Abstract B22E-05..
  • Patil S., Pan F., and Stieglitz M.. (2006). The use of logistic curves to simulate lateral flow in hydrologic models. Eos Trans. AGU, 87(52), Fall Meet. Suppl. Abstract H43E-0544..
  • Pan F., Smerdon J.E., Stieglitz M., and Webster P.. (2005). A wavelet approach to reconstructing near-surface temperature time series from observations of subsurface temperatures at several meters depth. American Geophysical Union Fall Meeting, December, 2005, San Francisco, CA..
  • Miller N.L., King A.W., Miller M.A., Springer E.P., Wesely M.L., Bashford K.E., Conrad M.E., Costigan K., Foster P.N., Gibbs H.K., Jin J., Klazura J., Lesht B.M., Machavaram M.V., Pan F., Song J., Troyan D., and Washington-Allen R.A. (2005). The Doe Water Cycle Pilot Study. Bulletin of the American Meteorological Society, 86(3), 359-374..
  • Pan F., Peters-Lidard C.D., Sale M.J., and King A.W.. (2004). A comparison of geographical information system-based algorithms for computing the TOPMODEL topographic index. Water Resources Research, 40(6), Art.No.W06303..
  • Pan F., Peters-Lidard C.D., and Sale M.J.. (2003). An analytical method for predicting surface soil moisture from rainfall observations. Water Resources Research, 39(11), Art. No. 1314..
  • Pan F., Sale M.J., and King A.W.. (2003). An inverse method for estimating the spatial variability of soil textures from observed soil moisture fields. American Geophysical Union Fall Meeting, December, 2003, San Francisco, CA..
  • Peters-Lidard, C.D., Pan F., and Wood E.F.. (2001). A re-examination of modeled and measured soil moisture spatial variability and its implications for land surface modeling. Advances in Water Resources, 24(9-10), 1069-1083..
  • Pan, F. and Peters-Lidard C.D.,. (2001). Downscaling and assimilating remotely sensed soil moisture data for the TOPLATS model. American Geophysical Union Spring Meeting, May 29-June 2, 2001, Boston, MA..
  • Peters-Lidard, C.D., Pan F., Hsu A., and O'Neill P.. (2001). ESTAR - and Model -Derived Multiscaling Characteristics of Soil Moisture during SGP97, Washita'92, and Washita'94. Proc. of IGARSS'01, Sydney, Australia, July 9-13, 2001..
  • Pan, F. and Smith R.B.. (1999). Gap winds and wakes: SAR observations and numerical simulations, Journal of the Atmospheric Sciences , 56(7), 905-923..
  • Peters-Lidard, C.D., Coats C.J., McHenry J. N., Trayanov A., Pan, F.. (1999). Land surface hydrologic modeling for coupling with atmospheric models: Requirements for energy, moisture and momentum exchange. American Geophysical Union Fall Meeting, December 13-17, 1999,San Francisco , CA..
  • McHenry, J. N., Peters-Lidard, C.D., Coats, C.J., Fine, S., Alapaty, K., Trayanov, A., and Pan, F.. (1999). Preliminary results of coupling a 1-D column version of the PSU/NCAR MM5 with a data-assimilating version of the TOPLATS land-surface hydrology model, J9.5, 14th Conference on Hydrology, American Meteorological Society, Dallas, Texas..
  • Peters-Lidard, C.D., Coats C.J., McHenry J. N., Trayanov A., Pan, F.. (1999). Quasi-physically based land surface hydrologic modeling for coupling with atmospheric models: Requirements for energy, moisture and momentum exchange. American Geophysical Union Spring Meeting, June 1-4, 1999, Boston, Mass..
  • Peters-Lidard, C.D., McHenry, J.N., Coats, C.J., Trayanov, A., Fine,S., Alapaty, K. and Pan, F.. (1999). Re-thinking the atmospheric LSP problem from a hydrological perspective, 6B.2, 14th Conference on Hydrology, American Meteorological Society, Dallas, Texas..
  • Pan, F. and Peters-Lidard C.D.. (1999). The effects of flow direction and slope algorithms on TOPMODEL topographic index distribution and runoff prediction. American Geophysical Union Fall Meeting, December 13-17, 1999, San Francisco, CA..
  • Smith, R.B., and Pan, F.. (1998). A new theory of gap winds. 8th Conference on Mountain Meteorology, American Meteorological Society, 1998..
  • Smith, R.B., and Pan, F.. (1997). Statistical studies of SAR windfields near Unimak Island. 4-4, 4th Internationl Conference on Remote Sensing for Marine and Coastal Environments. Orlando, FL, March 17-19,1997..

Contracts, Grants and Sponsored Research

    Grant - Research

  • Dong, P., Pan, F., Liang, L., "Multi-Source Remote Sensing Approach for Identifying Environmentally Sensitive Areas in Denton," sponsored by City of Denton, Local, $25000 Funded. (2023).
  • Dong, P. (Principal), Pan, F. (Co-Principal), Liang, L. (Co-Principal), "Multiscouce Remote Sensing Approach for Identifying Environmentally Sensitive Areas in Denton," sponsored by City of Denton, Local, $25000 Funded. (2023 - 2024).
  • Nagaoka, L.A. (Principal), Wolverton, S.J., Pan, F., Atkinson, S.F., "Modeling Crop Failure Potential in Late Pueblo Mesa Verde Villages," sponsored by National Science Foundation, Federal, $116206 Funded. (2015 - 2020).
  • Pan, F., "A Matlab-based Stochastic Weather Generator Toolbox.," sponsored by UNT Scholarly and Creative Activity Award, University of North Texas, $4250 Funded. (2019 - 2019).
  • Pan, F., "Climate change and cotton yield in North China Plain and Texas High Plains: Collaboration between UNT and China Agricultural University," sponsored by UNT China Venture Fund, University of North Texas, $2400 Funded. (2019 - 2019).
  • Pan, F., "Application of remotely sensed imagery and LiDAR data in measuring river discharge.," sponsored by National Natural Science Foundation of China, International, $27151 Funded. (2017 - 2018).
  • Pan, F., "Development of an online soil moisture-based irrigation-scheduling tool," sponsored by UNT Research Seed Grants (RSG), University of North Texas, $9977.5 Funded. (2016 - 2017).
  • Pan, F. (Co-Principal), Nagaoka, L.A. (Principal), Atkinson, S.F. (Co-Principal), Wolverton, S.J. (Co-Principal), "Collaborative Research: Modeling Crop Failure Potential in Late Pueblo III Mesa Verde Villages," sponsored by National Science Foundation, FED, Funded. (2015 - 2020).
  • Pan, F., "Application of remotely sensed imagery and LiDAR data in measuring river discharge.," sponsored by National Natural Science Foundation of China, International, Funded. (2017 - 2018).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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