General circulation models for soil moisture simulation in global land areas: a complex network perspective.
Saved in:
| Title: | General circulation models for soil moisture simulation in global land areas: a complex network perspective. |
|---|---|
| Authors: | Prabhakar, Anagha1 (AUTHOR), Sivakumar, Bellie1 (AUTHOR) b.sivakumar@iitb.ac.in |
| Source: | Stochastic Environmental Research & Risk Assessment. Apr2026, Vol. 40 Issue 4, p1-20. 20p. |
| Subject Terms: | *General circulation model, *Soil moisture, *Climatic zones, *Hydrologic models, *Atmospheric models |
| Abstract: | Assessing the performance of General Circulation Models (GCMs) in simulating soil moisture is crucial for selecting reliable models for climate change impact studies. In the present study, we use a complex networks-based approach to evaluate the performance of CMIP6 GCMs for soil moisture simulation across global land areas, with GLDAS (Global Land Data Assimilation System) as the reference data. Specifically, we examine the performance of 17 GCMs in simulating root zone soil moisture data at a spatial resolution of 1° × 1° for 1948–2014. For each grid and GCM, the temporal network of soil moisture is built, by reconstructing the data in a multi-dimensional phase space using an optimum dimension determined from the False Nearest Neighbor method. The reconstructed vectors are considered as the nodes of the network and the links between them are established based on Euclidean distances between the node pairs. The ranks for GCMs are assigned based on the difference in shortest path length, represented in terms of harmonic mean distances, between GCM-simulated data and GLDAS at each grid. A collective ranking, implementing group decision-making approach on grids of five Köppen–Geiger climate zones, identifies BCC-ESM1 as top-rank GCM in arid and tropical zones, EC-Earth3-Veg in continental, Earth3-Veg-LR in polar, and MIROC6 in temperate zones. The GCMs simulated with BCC-AVIM Land Surface Model (LSM) perform reasonably well for all climate zones, whereas those with CLASS3.6/CTEM1.2 LSM perform poorly. The network-based approach is more useful for ranking GCMs in regions with complex climate, such as arid and cold zones. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| Abstract: | Assessing the performance of General Circulation Models (GCMs) in simulating soil moisture is crucial for selecting reliable models for climate change impact studies. In the present study, we use a complex networks-based approach to evaluate the performance of CMIP6 GCMs for soil moisture simulation across global land areas, with GLDAS (Global Land Data Assimilation System) as the reference data. Specifically, we examine the performance of 17 GCMs in simulating root zone soil moisture data at a spatial resolution of 1° × 1° for 1948–2014. For each grid and GCM, the temporal network of soil moisture is built, by reconstructing the data in a multi-dimensional phase space using an optimum dimension determined from the False Nearest Neighbor method. The reconstructed vectors are considered as the nodes of the network and the links between them are established based on Euclidean distances between the node pairs. The ranks for GCMs are assigned based on the difference in shortest path length, represented in terms of harmonic mean distances, between GCM-simulated data and GLDAS at each grid. A collective ranking, implementing group decision-making approach on grids of five Köppen–Geiger climate zones, identifies BCC-ESM1 as top-rank GCM in arid and tropical zones, EC-Earth3-Veg in continental, Earth3-Veg-LR in polar, and MIROC6 in temperate zones. The GCMs simulated with BCC-AVIM Land Surface Model (LSM) perform reasonably well for all climate zones, whereas those with CLASS3.6/CTEM1.2 LSM perform poorly. The network-based approach is more useful for ranking GCMs in regions with complex climate, such as arid and cold zones. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 14363240 |
| DOI: | 10.1007/s00477-026-03201-6 |
