All Stories

  1. A Global Soil Dataset for Earth System Modeling (Version 2, GSDEv2)
  2. A Dependency-Guided Symbolic Regression Framework for Overcoming Error Compensation in Hybrid AI–Physical Models
  3. CaMa-Pytorch (v1.0): A new Catchment-based Macro-scale Floodplain Model Written inPytorch
  4. A novel diversity-aware sampling method for global soil moisture prediction
  5. Non-local impacts of upwind vegetation on soil moisture across South America
  6. Improving global soil moisture prediction based on Meta-Learning model leveraging Köppen-Geiger climate classification
  7. A China dataset of soil properties for land surface modelling (version 2, CSDLv2)
  8. Exploring Topography Downscaling Methods for Hyper‐Resolution Land Surface Modeling
  9. A China dataset of soil properties for land surface modeling (version 2)
  10. Supplementary material to "A China dataset of soil properties for land surface modeling (version 2)"
  11. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
  12. Reducing location error of legacy soil profiles leads to improvement in digital soil mapping
  13. Exploring Topography Downscaling Methods for Hyper-Resolution Land Surface Modeling
  14. Enhancing Carbon Cycle Understanding through Deep Learning: Development and Validation of the Global Carbon Fluxes Dataset (GCFD)
  15. Identifying potential drivers of land-atmosphere coupling variation under climate change by explainable artificial intelligence
  16. Reducing location error of legacy soil profiles leads to significant improvement in digital soil mapping
  17. Development of objective function-based ensemble model for streamflow forecasts
  18. Projections of Soil Organic Carbon in China: The Role of Carbon Fluxes Revealed by Explainable Artificial Intelligence
  19. Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics
  20. Beyond prediction: An integrated post-hoc approach to interpret complex model in hydrometeorology
  21. Towards interpreting machine learning models for predicting soil moisture droughts
  22. A 1 km Global Carbon Flux Dataset Using In Situ Measurements and Deep Learning
  23. Interpreting Conv-LSTM for Spatio-Temporal Soil Moisture Prediction in China
  24. Real-Time Forecast of SMAP L3 Soil Moisture Using Spatial–Temporal Deep Learning Model with Data Integration
  25. A 1 km daily soil moisture dataset over China using in situ measurement and machine learning
  26. Microwave-based soil moisture improves estimates of vegetation response to drought in China
  27. A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation
  28. Causality-Structured Deep Learning for Soil Moisture Predictions
  29. On the magnitude and uncertainties of global and regional soil organic carbon: A comparative analysis using multiple estimates
  30. Supplementary material to "On the magnitude and uncertainties of global and regional soil organic carbon: A comparative analysis using multiple estimates"
  31. A 1-km daily soil moisture dataset of China based on in-situ measurement using machine learning
  32. Supplementary material to "A 1-km daily soil moisture dataset of China based on in-situ measurement using machine learning"
  33. Quantifying the Rainfall Cooling Effect: The Importance of Relative Humidity in Guangdong, South China
  34. Improving soil moisture prediction using a novel encoder-decoder model with residual learning
  35. Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China
  36. An attention-aware LSTM model for soil moisture and soil temperature prediction
  37. Global evaluation of the Noah‐MP land surface model and suggestions for selecting parameterization schemes
  38. Multistep Forecasting of Soil Moisture Using Spatiotemporal Deep Encoder–Decoder Networks
  39. Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6
  40. Plant drought tolerance trait is the key parameter in improving the modeling of terrestrial transpiration in arid and semi-arid regions
  41. A hybrid deep learning algorithm and its application to streamflow prediction
  42. Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning
  43. New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model
  44. Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China
  45. Evaluation of the Effect of Low Soil Temperature Stress on the Land Surface Energy Fluxes Simulation in the Site and Global Offline Experiments
  46. Evaluation of the effect of low soil temperature stress on the land surface energy fluxes simulation in the site and global offline experiments
  47. A Causal Inference Model Based on Random Forests to Identify the Effect of Soil Moisture on Precipitation
  48. Depth-to-bedrock map of China at a spatial resolution of 100 meters
  49. Evaluation of Soil Thermal Conductivity Schemes for Use in Land Surface Modeling
  50. A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling
  51. Using data‐driven methods to explore the predictability of surface soil moisture with FLUXNET site data
  52. A review of the global soil property maps for Earth system models
  53. Different representations of canopy structure—A large source of uncertainty in global land surface modeling
  54. Evaluating and Improving the Performance of Three 1‐D Lake Models in a Large Deep Lake of the Central Tibetan Plateau
  55. A review on the global soil datasets for earth system modeling
  56. Evaluating common land model energy fluxes using FLUXNET data
  57. Incorporating root hydraulic redistribution and compensatory water uptake in the Common Land Model: Effects on site level and global land modeling
  58. SoilGrids250m: Global gridded soil information based on machine learning
  59. Mapping the global depth to bedrock for land surface modeling
  60. Reexamination and further development of two-stream canopy radiative transfer models for global land modeling
  61. Age‐dependent forest carbon sink: Estimation via inverse modeling
  62. A global soil data set for earth system modeling
  63. A 3D Canopy Radiative Transfer Model for Global Climate Modeling: Description, Validation, and Application
  64. Particle-Size Distribution Models for the Conversion of Chinese Data to FAO/USDA System
  65. Soil Diversity as Affected by Land Use in China: Consequences for Soil Protection
  66. Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling
  67. A China data set of soil properties for land surface modeling
  68. Preliminary estimation of the organic carbon pool in China’s wetlands
  69. A soil particle-size distribution dataset for regional land and climate modelling in China
  70. Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling