All Stories

  1. A China dataset of soil properties for land surface modeling (version 2)

    Article • August 2024, Copernicus GmbH

    Wei Shangguan

  2. Supplementary material to "A China dataset of soil properties for land surface modeling (version 2)"

    Article • August 2024, Copernicus GmbH

    Wei Shangguan

  3. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences

    Article • Earth s Future, July 2024, American Geophysical Union (AGU)

    Wei Shangguan

  4. Reducing location error of legacy soil profiles leads to improvement in digital soil mapping

    Article • Geoderma, July 2024, Elsevier

    Wei Shangguan

  5. Exploring Topography Downscaling Methods for Hyper-Resolution Land Surface Modeling

    Article • April 2024, Authorea, Inc.

    Wei Shangguan

  6. Enhancing Carbon Cycle Understanding through Deep Learning: Development and Validation of the Global Carbon Fluxes Dataset (GCFD)

    Article • March 2024, Copernicus GmbH

    Wei Shangguan

  7. Identifying potential drivers of land-atmosphere coupling variation under climate change by explainable artificial intelligence

    Article • March 2024, Copernicus GmbH

    Wei Shangguan

  8. Reducing location error of legacy soil profiles leads to significant improvement in digital soil mapping

    Article • March 2024, Copernicus GmbH

    Wei Shangguan

  9. Development of objective function-based ensemble model for streamflow forecasts

    Article • Journal of Hydrology, March 2024, Elsevier

    Wei Shangguan

  10. Projections of Soil Organic Carbon in China: The Role of Carbon Fluxes Revealed by Explainable Artificial Intelligence

    Article • January 2024, Authorea, Inc.

    Wei Shangguan

  11. Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics

    Article • Climate, October 2023, MDPI AG

    Wei Shangguan

  12. Beyond prediction: An integrated post-hoc approach to interpret complex model in hydrometeorology

    Article • Environmental Modelling & Software, September 2023, Elsevier

    Wei Shangguan

  13. Towards interpreting machine learning models for predicting soil moisture droughts

    Article • Environmental Research Letters, June 2023, Institute of Physics Publishing

    Wei Shangguan

  14. A 1 km Global Carbon Flux Dataset Using In Situ Measurements and Deep Learning

    Article • Forests, April 2023, MDPI AG

    Wei Shangguan

  15. Interpreting Conv-LSTM for Spatio-Temporal Soil Moisture Prediction in China

    Article • Agriculture, April 2023, MDPI AG

    Wei Shangguan

  16. Real-Time Forecast of SMAP L3 Soil Moisture Using Spatial–Temporal Deep Learning Model with Data Integration

    Article • Remote Sensing, January 2023, MDPI AG

    Wei Shangguan

  17. A 1 km daily soil moisture dataset over China using in situ measurement and machine learning

    Article • Earth System Science Data, November 2022, Copernicus GmbH

    Wei Shangguan

  18. Microwave-based soil moisture improves estimates of vegetation response to drought in China

    Article • The Science of The Total Environment, November 2022, Elsevier

    Wei Shangguan

  19. A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation

    Article • Remote Sensing, August 2022, MDPI AG

    Wei Shangguan

  20. Causality-Structured Deep Learning for Soil Moisture Predictions

    Article • Journal of Hydrometeorology, August 2022, American Meteorological Society

    Wei Shangguan

  21. On the magnitude and uncertainties of global and regional soil organic carbon: A comparative analysis using multiple estimates

    Article • July 2022, Copernicus GmbH

    Wei Shangguan

  22. Supplementary material to "On the magnitude and uncertainties of global and regional soil organic carbon: A comparative analysis using multiple estimates"

    Article • July 2022, Copernicus GmbH

    Wei Shangguan

  23. A 1-km daily soil moisture dataset of China based on in-situ measurement using machine learning

    Article • June 2022, Copernicus GmbH

    Wei Shangguan

  24. Supplementary material to "A 1-km daily soil moisture dataset of China based on in-situ measurement using machine learning"

    Article • June 2022, Copernicus GmbH

    Wei Shangguan

  25. Quantifying the Rainfall Cooling Effect: The Importance of Relative Humidity in Guangdong, South China

    Article • Journal of Hydrometeorology, June 2022, American Meteorological Society

    Wei Shangguan

  26. Improving soil moisture prediction using a novel encoder-decoder model with residual learning

    Article • Computers and Electronics in Agriculture, April 2022, Elsevier

    Wei Shangguan

  27. Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China

    Article • Land, March 2022, MDPI AG

    Wei Shangguan

  28. An attention-aware LSTM model for soil moisture and soil temperature prediction

    Article • Geoderma, March 2022, Elsevier

    Wei Shangguan

  29. Global evaluation of the Noah‐MP land surface model and suggestions for selecting parameterization schemes

    Article • Journal of Geophysical Research Atmospheres, February 2022, American Geophysical Union (AGU)

    Wei Shangguan

  30. Multistep Forecasting of Soil Moisture Using Spatiotemporal Deep Encoder–Decoder Networks

    Article • Journal of Hydrometeorology, January 2022, American Meteorological Society

    Wei Shangguan

  31. Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6

    Article • Atmospheric and Oceanic Science Letters, January 2022, Elsevier

    Wei Shangguan

  32. Plant drought tolerance trait is the key parameter in improving the modeling of terrestrial transpiration in arid and semi-arid regions

    Article • Atmospheric and Oceanic Science Letters, January 2022, Elsevier

    Wei Shangguan

  33. A hybrid deep learning algorithm and its application to streamflow prediction

    Article • Journal of Hydrology, October 2021, Elsevier

    Wei Shangguan

  34. Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning

    Article • Journal of Hydrology, September 2021, Elsevier

    Wei Shangguan

  35. New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model

    Article • Forests, June 2021, MDPI AG

    Wei Shangguan

  36. Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China

    Article • Agriculture, May 2021, MDPI AG

    Wei Shangguan

  37. Evaluation of the Effect of Low Soil Temperature Stress on the Land Surface Energy Fluxes Simulation in the Site and Global Offline Experiments

    Article • Journal of Advances in Modeling Earth Systems, April 2021, American Geophysical Union (AGU)

    Wei Shangguan

  38. Evaluation of the effect of low soil temperature stress on the land surface energy fluxes simulation in the site and global offline experiments

    Article • November 2020, Wiley

    Wei Shangguan

  39. A Causal Inference Model Based on Random Forests to Identify the Effect of Soil Moisture on Precipitation

    Article • Journal of Hydrometeorology, May 2020, American Meteorological Society

    Wei Shangguan

  40. Depth-to-bedrock map of China at a spatial resolution of 100 meters

    Article • Scientific Data, January 2020, Springer Science + Business Media

    Wei Shangguan

  41. Evaluation of Soil Thermal Conductivity Schemes for Use in Land Surface Modeling

    Article • Journal of Advances in Modeling Earth Systems, November 2019, American Geophysical Union (AGU)

    Wei Shangguan

  42. A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling

    Article • Journal of Advances in Modeling Earth Systems, September 2019, American Geophysical Union (AGU)

    Wei Shangguan

  43. Using data‐driven methods to explore the predictability of surface soil moisture with FLUXNET site data

    Article • Hydrological Processes, August 2019, Wiley

    Wei Shangguan

  44. A review of the global soil property maps for Earth system models

    Article • SOIL, July 2019, Copernicus GmbH

    Wei Shangguan

  45. Different representations of canopy structure—A large source of uncertainty in global land surface modeling

    Article • Agricultural and Forest Meteorology, May 2019, Elsevier

    Wei Shangguan

  46. Evaluating and Improving the Performance of Three 1‐D Lake Models in a Large Deep Lake of the Central Tibetan Plateau

    Article • Journal of Geophysical Research Atmospheres, March 2019, American Geophysical Union (AGU)

    Wei Shangguan

  47. Evaluating common land model energy fluxes using FLUXNET data

    Article • Advances in Atmospheric Sciences, August 2017, Springer Science + Business Media

    Wei Shangguan

  48. Incorporating root hydraulic redistribution and compensatory water uptake in the Common Land Model: Effects on site level and global land modeling

    Article • Journal of Geophysical Research Atmospheres, July 2017, Wiley

    Dr. Haishan Chen, Wei Shangguan

  49. SoilGrids250m: Global gridded soil information based on machine learning

    Article • PLoS ONE, February 2017, PLOS

    Niels H. Batjes, Professor Rodrigo Vargas, Wei Shangguan

  50. Mapping the global depth to bedrock for land surface modeling

    Article • Journal of Advances in Modeling Earth Systems, January 2017, American Geophysical Union (AGU)

    Wei Shangguan

  51. Reexamination and further development of two-stream canopy radiative transfer models for global land modeling

    Article • Journal of Advances in Modeling Earth Systems, January 2017, American Geophysical Union (AGU)

    Wei Shangguan

  52. Age‐dependent forest carbon sink: Estimation via inverse modeling

    Article • Journal of Geophysical Research Biogeosciences, December 2015, American Geophysical Union (AGU)

    Wei Shangguan

  53. A global soil data set for earth system modeling

    Article • Journal of Advances in Modeling Earth Systems, March 2014, American Geophysical Union (AGU)

    Professor Qingyun Duan, Wei Shangguan

  54. A 3D Canopy Radiative Transfer Model for Global Climate Modeling: Description, Validation, and Application

    Article • Journal of Climate, January 2014, American Meteorological Society

    Wei Shangguan

  55. Particle-Size Distribution Models for the Conversion of Chinese Data to FAO/USDA System

    Article • The Scientific World JOURNAL, January 2014, Hindawi Publishing Corporation

    Wei Shangguan

  56. Soil Diversity as Affected by Land Use in China: Consequences for Soil Protection

    Article • The Scientific World JOURNAL, January 2014, Hindawi Publishing Corporation

    Wei Shangguan

  57. Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling

    Article • Journal of Hydrometeorology, June 2013, American Meteorological Society

    Professor Qingyun Duan, Wei Shangguan

  58. A China data set of soil properties for land surface modeling

    Article • Journal of Advances in Modeling Earth Systems, May 2013, American Geophysical Union (AGU)

    Professor Qingyun Duan, Wei Shangguan

  59. Preliminary estimation of the organic carbon pool in China’s wetlands

    Article • Chinese Science Bulletin, November 2012, Springer Science + Business Media

    Wei Shangguan

  60. A soil particle-size distribution dataset for regional land and climate modelling in China

    Article • Geoderma, February 2012, Elsevier

    Wei Shangguan

  61. Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling

    Article • Remote Sensing of Environment, May 2011, Elsevier

    Wei Shangguan