Table 1 Summary of variables, sources and bias correction schemes for the hydrological modeling process (“Hydrological model”).

From: Hydrological droughts in the southern Andes (40–45°S) from an ensemble experiment using CMIP5 and CMIP6 models

Variable

Source

Spatial resolution

Temporal resolution

Bias correction

Precipitation

CHIRPSv2

0.05°

Monthly

Scaling model between CHIRPSv2 and observations

Air temperature

MOD11C3

0.05°

Monthly

Statistical model considers the elevation and daytime/nighttime land temperature

Snow cover

MOD10A2 MYD10A2

500 m

8 days

Cloud filter69

Relative humidity

ERA5

0.25°

Monthly

Calculated from T and dew temperature from ERA5

Wind speed

ERA5

0.25°

Monthly

Logarithmic wind profile and transfer function according to observations

  1. More information on bias correction can be found in Aguayo et al.26. All bias correction schemes were performed in the period 2000–2019.
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