Flash Drought In Cmip5 Models

"Flash drought" (FD) describes the rapid onset of drought on subseasonal times scales. It is of particular interest for agriculture because it can deplete soil moisture for crop growth in just a few weeks. To better understand the processes causing FD, we evaluate the importance of evaporative demand and precipitation by comparing three different drought indices that estimate this hazard using meteorological and hydrological parameters from the CMIP5 suite of models. We apply the standardized precipitation index (SPI); the evaporative demand drought index (EDDI), derived from evaporative demand E-0; and the evaporative stress index (ESI), which connects atmospheric and soil moisture conditions by measuring the ratio of actual and potential evaporation. The results show moderate-to-strong relationships (r(2) > 0.5) between drought indices and upper-level soil moisture on daily time scales, especially in drought-prone regions. We find that all indices are able to identify FD in the top 10-cm layer of soil moisture in a similar proportion to that in the models' climatologies. However, there is significant intermodel spread in the characteristics of the FDs identified. This spread is mainly caused by an overestimation of E-0, indicating stark differences in the land surface models and coupling in individual CMIP5 models. Of all indices, the SPI provides the highest skill in predicting FD prior to or at the time of onset in soil moisture, while both EDDI and ESI show significantly lower skill. The results highlight that the lack of precipitation is the main contributor to FDs in climate models, with E-0 playing a secondary role.Significance Statement This study is the first to assess the representation of rapidly developing drought, commonly referred to as flash drought, in global coupled climate models. This study elucidates how these models simulate flash drought and how they represent flash drought processes to allow for assessment in a changing climate. The work is also the first to compare the skill of drought indices based on precipitation and evaporative demand E-0 for flash drought early detection on a global scale. We show that precipitation deficits are the main contributor to flash drought in climate models, with E-0 playing a secondary role. However, an overestimation of E-0 in some models causes significant intermodel disagreement, reflecting differences in the representation of land-atmosphere interactions.