Holy Tree on QuShui, Tibet - Photo by Yongjiu Dai

Currently, our primary activities are a) land processes studies and land model development, b) coupling the land scheme with the atmospheric models at the mesoscale, c) land data assimilation. Hope to provide the community modeling tools and data for studies of climate, mesoscale meteorology, micrometeorology, agriculture and forest meteorology, hydrology, and biogeochemical cycling.

Land Model Development

1. Land Surface Processes Parameterization, focus on the improvement of the Common Land Model in following components:
  • Soil hydrological module
  • Glacier module
  • Wetland module
  • Lake module
  • Urban canopy module
  • Catchment hydrological processes module
  • Canopy radiative module, based on terrestrial remote sensing observations
  • Dynamic vegetation and biogeochemical processes module
  • Plant phenological module.
    Focus on the exploration of robust models for the timing of leaf budburst and leaf fall. It will base on experimental approaches, direct phenological observations and remote sensing. The China has a very good network of phenological observations but the use of the data for modelling has been a little limited
2. Land Modeling Dataset:
  • A Conterminous China soil characteristics dataset for regional land surface processes modeling
    A standardized conterminous China data set of soil physical and chemical characteristics has been compiled from 10000 sampled profiles of the Second National Soil Survey of China. This data set was developed for use the regional and continental-scale climate, hydrology, crop, and soil erosion modeling
    The sampled soil attributes included the general site information, of horizon physical and chemical properties, i.e., 1) Province and county and village; 2) General site data: elevation, major landform, erosion intensity, soil parent materials, land cover / land use; 3) Mean climate condition: water table, mean annual temperature, annual precipitation, 10 accumulated temperature, frost-free days; 4) Physical and chemical attributes in horizon layers: horizon thickness, color, structure, consistence, root abundance; gravel fraction (>2.0mm), particle-size fractions (%, particles-size in 4 ranges: 2-0.2mm, 0.2-0.02mm, 0.02-0.002mm, <0.002mm), organic matter fraction (%), pH value, total N, total P, total K, available P, exchangeable K+, exchangeable H+, exchangeable Ca2+, exchangeable Mg2+, exchangeable Fe3+, exchangeable Al3+, cation exchange capacity (CEC)
    The data set has incorporated the ISRIC - WISE 5'' x 5'' raster data to extend conterminous boundary to a large regional modelling domain
  • A Conterminous China Land cover and land use Dataset
  • Plant phenology (time-invariant vegetation parameters - morphological and physiological properties, time-varying vegetation parameters)
  • High-resolution regional meteorological forcing dataset for land surface modeling
  • High-resolution regional projected future meteorological forcing data

Land Atmosphere Coupling

Coupling the Common Land Model with regional/global atmospheric models
  • GRAPES - Global and Regional Multi-scale Advanced Prediction Model System
  • RSM - Regional Spectral Model
  • RegCM3 - Regional Climate Model version 3
  • CWRF - Climate version of Weather and Research Forecasting Modelling System
  • FGOALS - Flexible Global Ocean-Atmosphere-Land System Model

Data Assimilation

Data Assimilation of Satellite-Based Observations into Land Surface Models

To obtain high quality land surface conditions and fluxes: 1) Optimal integration of land surface observations and predictions; 2) Continuous in time and space, local to regional scales, retrospective, real-time, and forecasts.