Details zur Publikation |
Kategorie | Textpublikation |
Referenztyp | Tagungsbeiträge |
DOI | 10.5194/egusphere-egu24-11049 |
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Titel (primär) | On the predictability of the seasonal droughts at global scale |
Titel (sekundär) | EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024 |
Autor | Samaniego, L.
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Quelle | EGUsphere |
Erscheinungsjahr | 2024 |
Department | CHS |
Seite von | EGU24-11049 |
Sprache | englisch |
Topic | T5 Future Landscapes |
Abstract | Long-lasting droughts have become more common worldwide in recent
decades, such as in Australia (2001-2009), California (2012-2014), Chile
(2010-2023), and Europe (2018-2022). The combination of droughts and
heatwaves has led to intense flash droughts, worsening soil moisture
deficits. This has resulted in global shortages of essential food,
serious public health issues, and prolonged forest fires that harm air
quality in populated areas. Extended droughts also contribute to food
insecurity, reduced energy production, increased health crises, and the
destruction of natural landscapes, causing significant economic setbacks
in various regions. International agencies, such as the WMO, and water
authorities are actively promoting the advancement of seasonal soil
moisture monitoring and forecasting systems. In this presentation, we'll
give you an update on ULYSSES [2], the global multi-model hydrological
seasonal predictions system supported by the Copernicus Climate Change
Service. This fully operational system runs directly at the ECMWF's HPC
and aims to be the first seamless multi-model hydrological seasonal
prediction system with global coverage at a spatial resolution of 0.1
degrees. The ULYSSES modeling chain builds on the successful EDgE proof of concept [3], employing four advanced hydrological models (Jules, HTESSEL, mHM, PCR-GLOBWB). Notably, this production chain features a distinctive aspect: the utilization of a standard set of physiographical datasets (e.g., DEM, soil properties) with consistent spatio-temporal resolutions and similar forecast inputs for all hydrological models, as well as the same multi-scale routing model (mRM). The seasonal forecasts are initialized using the ERA5-land product from ECMWF. The Equitable Thread Score (ETS) skill is employed to assess the ensemble forecasting abilities for drought events, specifically when soil moisture exceeds 80% of the time, across lead times ranging from one to three months. In a recent assessment, the global ensemble Equitable Thread Score (ETS) for the system stands at 63%, 43%, and 34% for lead times ranging from 1 to 3 months. Notably, over Europe, the ensemble ETS is significantly higher, reaching 91%, 71%, and 61% for the corresponding lead times. Contrasting these findings with a prior study that employed the mHM initialized with E-OBS forcing and the NMME ensemble over Europe [4], our analysis suggests potential reasons for the diminished performance of the current system. These factors may include: 1) the meteorological forcings utilized for initializing the hydrological models, and/or 2) the skill level of the NWF model ensemble. In this study, we will present the sensitivity of ETS when one of the models (mHM) is initialized with different available forcings procucts available such as EM-EARTH, MSWEP, WE5E, and E-OBS. Finding of this study is key for the further improvement of the system. |
dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30564 |
Samaniego, L., Modiri, E., Sutanudjaja, E.H., Shrestha, P.K., Martinez-de la Torre, A., Rakovec, O., Schweppe, R., Kelbling, M., Facer-Childs, K., Chevuturi, A., Tanguy, M., Wanders, N., Kumar, R., Thober, S. (2024): On the predictability of the seasonal droughts at global scale EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024 EGUsphere Copernicus Publications, EGU24-11049 10.5194/egusphere-egu24-11049 |