So-called hot droughts are seen as one of the very foreseeable extremes amid the faster-than-expected pace of global warming. In particular, the western part of North America has been pummeled by severe droughts due to a lack of precipitation as well as record-breaking hot temperatures. This study assesses the joint return period of drought severity and duration using the CORDEX-CORE simulations over the California domain. Six dynamically downscaled simulations with 25km resolution are analyzed for the historical (1956-2005) and future (2050-2099) periods, whose warming sensitivities differ based on three global climate models driving two regional climate models. Our focus is on estimating the joint probabilities of the drought duration and severity constructed from multiple drought indices such as the Palmer Drought Severity Index (with original temperature (PDSI) and its detrended counterpart (PDSI_detrended)) and Standardized Precipitation Index (SPI). Under the RCP8.5 scenario, an unprecedented level of droughts in terms of both duration and severity is likely to emerge only when the drought is characterized by PDSI. A comparison of PDSI and PDSI_detrended explicitly reveals that the occurrence of severe and prolonged drought is mainly attributed to the warming trend of temperature. Both PDSI_detrended and SPI, which do not incorporate the warming effect explicitly, barely differentiate the joint distributions from the historical and future simulations. Unlike the PDSI based on water budget, the SPI, based on solely accumulated precipitation, shows a loosely coupled joint structure between severity and duration of drought, with marked differences in their marginal distributions.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

31 to 40 of 51 Results
Unknown - 22.0 MB - MD5: 77d46682fd08282b0a28add7ecd94dd4
Unknown - 22.0 MB - MD5: 0cc20834032628e2a58ae6284773408a
Unknown - 21.6 MB - MD5: 02b619978975912b8db48833e85a40f2
Unknown - 21.6 MB - MD5: c05eabe1f1106d76c8c0195d6574e081
Unknown - 21.6 MB - MD5: 9961f9f85071665dab49363f0c4cd157
Unknown - 21.6 MB - MD5: 7d97b57ee6bb76bb1c139fb25da11cd1
Unknown - 21.6 MB - MD5: b7b0d7d7fc9a1e7e3d0be0668043c9e4
Unknown - 21.6 MB - MD5: 979b60d8ba207ada6cec7095d9ff629c
Unknown - 21.6 MB - MD5: 7e0ce05bffd5055e3579a7e48eba821f
Unknown - 21.6 MB - MD5: 99507c6ba36dd42e0e5142967c12bf12
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.