Table 6 CLIM driver and its representation in (data = GPASOIL-v0) and (data = GPASOIL-v1).
Driver name | CLIM (near-surface air temperature, soil temperature and soil water content) |
|---|---|
Description of its effect on the soil P | Few effects can be distinguished: - Effect of soil temperature and relative soil water content on P weathering and P mineralization in both (model = GPASOIL-v0) and (model = GPASOIL-v1) (See Eqs. 9–11) - Near-surface atmospheric temperature and soil water content involved in parameterizations of (model = GPASOIL-v1) (see Table 10) - Soil water content used to translate Pi-sol into soil solution P concentration in (model = GPASOIL-v1) (see e.g. Equations 3 and 6) |
Corresponding variables in our approach | Relative soil liquid water content (Wrel, in fraction of field capacity) or soil liquid water content (Wabs, in L(kg of soil)−1) soil temperature (Tsoil, in °C), Ta: near-surface atmospheric temperature (in °C). Wrel, Wabs, Tsoil are representative to the 0–0.3 m soil layer. |
Dataset ref used in (data = GPASOIL-v0) | The variables were computed by averaging corresponding variables simulated by two Dynamic Global Vegetation Models (ISBA77 and ORCHIDEE24). The annual average of the climatology computed for the 1979–2010 period (i.e. no year-to-year variability) was used. |
Issues related to the use of this dataset in GPASOIL-v0 | Only two Dynamic Global Vegetation Models were considered. No temporal change was considered (the 1970–2010 climatology was used instead). |
Representation in (data = GPASOIL-v1) | We used the average among 9 simulations (combination between 4 land-surface models and 3 climate data used as input of the land-surface models for the historical period) performed for the CMIP-6 exercise. These simulations have been considered as they provide the variables at the basis of our computation of Wrel, Wabs and Tsoil. For each variable, we computed the annual averages over the 1850–2012 period. Variables used are representative to the top 0–0.3 m soil layer. Only liquid content was considered to compute Wrel and Wabs. Ta is given by forcing files used as input of the land-surface models. |
Characteristics of the spatially explicit dataset used in (data = GPASOIL-v1) | Original resolution and time-period considered varied among the 9 simulations considered. The link (with doi) of each simulation is provided below: CNRM-ESM2-1 x land-hist: https://doi.org/10.22033/ESGF/CMIP6.9599 CNRM-ESM2-1 x land-hist-cruNcep: https://doi.org/10.22033/ESGF/CMIP6.9600 CNRM-ESM2-1 x land-hist-princeton: https://doi.org/10.22033/ESGF/CMIP6.9601 CNRM-CM6-1 x land-hist: https://doi.org/10.22033/ESGF/CMIP6.4095 CNRM-CM6-1 x land-hist-cruNcep: https://doi.org/10.22033/ESGF/CMIP6.4100 CNRM-CM6-1 x land-hist-princeton: https://doi.org/10.22033/ESGF/CMIP6.4101 IPSL-CM6A-LR x land-hist: https://doi.org/10.22033/ESGF/CMIP6.5205 MIROC6 x land-hist-cruNcep: https://doi.org/10.22033/ESGF/CMIP6.5627 MIROC6 x land-hist-princeton: https://doi.org/10.22033/ESGF/CMIP6.5628 |
