January 2019
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Barella-Ortiz et al. (2019) Evaluation of drought representation and propagation in regional climate model simulations across Spain
This study evaluates the representation and propagation of meteorological, soil moisture, and hydrological droughts in three Regional Climate Models (RCMs) across Spain using standardized indices. RCMs successfully simulate meteorological drought but exhibit significant uncertainties in non-meteorological drought types and propagation dynamics, primarily due to differences in Land Surface Model (LSM) structure.
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Quintana‐Seguí et al. (2019) The Utility of Land-Surface Model Simulations to Provide Drought Information in a Water Management Context Using Global and Local Forcing Datasets
This study evaluates the utility and uncertainty of Land-Surface Models (LSMs) driven by different resolution atmospheric forcing datasets (local vs. global) for simulating drought propagation (precipitation to soil moisture and streamflow) in mainland Spain (1980–2014), concluding that model structure uncertainty is the dominant factor affecting drought indices (SSMI and SSI) and propagation scales.
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Tramblay et al. (2019) The SAFRAN daily gridded precipitation product in Tunisia (1979–2015)
A new high-resolution (5 km) daily precipitation dataset for Tunisia (1979–2015) was developed using 960 rain gauges combined with the SAFRAN analysis, demonstrating superior performance compared to standard interpolation methods and revealing a strong negative bias in the EOBS dataset.