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Supplement of Earth Syst. Dynam., 9, 1217–1234, 2018 https://doi.org/10.5194/esd-9-1217-2018-supplement © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. Supplement of A theoretical approach to assess soil moisture–climate coupling across CMIP5 and GLACE-CMIP5 experiments Clemens Schwingshackl et al. Correspondence to: Clemens Schwingshackl ([email protected]) The copyright of individual parts of the supplement might differ from the CC BY 4.0 License.

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Supplement of Earth Syst. Dynam., 9, 1217–1234, 2018https://doi.org/10.5194/esd-9-1217-2018-supplement© Author(s) 2018. This work is distributed underthe Creative Commons Attribution 4.0 License.

Supplement of

A theoretical approach to assess soil moisture–climate coupling acrossCMIP5 and GLACE-CMIP5 experimentsClemens Schwingshackl et al.

Correspondence to: Clemens Schwingshackl ([email protected])

The copyright of individual parts of the supplement might differ from the CC BY 4.0 License.

Tabl

eS1

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1

Figure S1. Example of soil moisture evolution in the GLACE-CMIP5 control run (θCTL) and the run with transient soil moisture climatology(θClimCTL) in EC-EARTH at a grid point close to Jerusalem.

2

Figure S2. Number of CMIP5 models that are considered at each grid cell. For each model, grid cells at which the monthly mean ofthe reconstructed daily soil moisture values does not agree with the monthly mean soil moisture from the CMIP5 standard output are notconsidered in the analysis according to the following criteria: Soil moisture data are masked at grid cells where the correlation between bothmonthly soil moisture estimates is lower than 0.99 and where the root mean squared error is smaller than 10 % of the standard deviation ofthe monthly CMIP5 soil moisture values (see Section 3.1.2 for more details).

3

Figure S3. Global shares of the different soil moisture regimes in CMIP5 (box and whisker plots) and GLACE-CMIP5 (colored markers)for the time periods 1970–1999 (using historical simulations) and 2070–2099 (using RCP8.5 simulations).

4

Figure S4. Difference in soil moisture regime occurrence in GLACE-CMIP5 between the control run (CTL) and the run with prescribedtransient soil moisture climatology (ClimCTL) for the time period 2070–2099.

5

Figure S5. As in Figure 3 (central column) but using surface soil moisture instead of total column soil moisture. Only ACCESS, EC-EARTH,and GFDL are included here because MPI-ESM-LR does not provide surface soil moisture data. Note the different colorbar limits in (a) and(b) compared to Figure 3.

6

Figure S6. As in Figure 3 but for CTL and ClimCTL.

7

Figure S7. As in Figure 4 but for CTL and ClimCTL.

8

Figure S8. As in Figure 5 but for CTL and ClimCTL.

9

Figure S9. As in Figure 6 but for CTL and ClimCTL.

10

Figure S10. As in Figure 7 but for CTL and ClimCTL.

11