This SCVCM (Self-Calibration Variance-Component Model) software is a Matlab prototype program for downscaling GRACE-derived total water storage anomaly (GRACE TWSA) from its original coarse spatiotemporal resolution (monthly, ~300km) to a high resolution (daily, 5km) using land surface model (LSM) simulated high spatiotemporal resolution terrestrial water storage anomaly (LSM TWSA).
Downscaling GRACE terrestrial water storage anomaly (GRACE TWSA) from its original coarse monthly resolution (monthly ~300km) to a high spatiotemporal resolution (daily 5km)
Two-step downscaling by using high spatiotemporal resolution terrestrial water storage anomaly simulated by a Land Surface Model (LSM TWSA). Here, we used the LSM Ecological Assimilation of Land and Climate Observations (EALCO) developed by Dr. Shusen Wang at Natural Resources Canada as an example.
- Step 1: Using the iterative adjustment method based on the self-calibration variance-component model (SCVCM) to downscale the monthly GRACE TWSA spatially to the high resolution grid of the monthly LSM TWSA
- Step 2: Downscale the spatially downscaled monthly GRACE TWSA temporally to the high resolution grid of the daily LSM TWSA
- Paper 1: Zhong, D., Wang, S., & Li, J. (2021). A self-calibration variance-component model for spatial downscaling of GRACE observations using land surface model outputs. Water Resources Research, 57, e2020WR028944. https://doi.org/10.1029/2020WR028944
- Paper 2: Zhong, D.;Wang, S.; Li, J. Spatiotemporal Downscaling of GRACE TotalWater Storage Using Land Surface Model Outputs. Remote Sens. 2021, 13, 900. https://doi.org/10.3390/rs13050900
More details refer to the simple user guide.
If you have questions, please contact Detang Zhong (detang.zhong@canada.ca) at Canada Centre for Remote Sensing, Canada Centre for Mapping and Earth Observation, Natural Resources Canada.