Alternativer Identifier:
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Verwandter Identifier:
(Is Supplement To) 10.1038/s41598-021-89564-y - DOI
Ersteller/in:
Portele, Tanja https://orcid.org/0000-0001-9436-710X [Karlsruhe Institute of Technology, Campus Alpin, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

Lorenz, Christof https://orcid.org/0000-0001-5590-5470 [Karlsruhe Institute of Technology, Campus Alpin, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]
Beitragende:
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Titel:
SaWaM region averages for SREP
Weitere Titel:
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Beschreibung:
(Abstract) Increasing frequencies of droughts require proactive preparedness, particularly in semi-arid regions. As forecasting of such hydrometeorological extremes several months ahead allows for necessary climate proofing, we assess the potential economic value of the seasonal forecasting system SEAS5 for decision making in water management. For seven drought-prone regions analyzed in America, Africa, and Asia, the relative frequency of drought months significantly increased from 10 to 30% between 1981 and 2018. We demonstrate that seasonal forecast-based action for droughts achieves potential economic savings up to 70% of those from optimal early action. For very warm months and droughts, savings of at least 20% occur even for forecast horizons of several months. Our in-depth analysis for the Upper-Atbara dam in Sudan reveals avoidable losses of 16 Mio US$ in one example year for early-action based drought reservoir operation. These findings stress the advantage and necessity of considering seasonal forecasts in hydrological decision making.
(Technical Info) The dataset contains the time series (ensemble forecasts, reanalysis data) and shape files which have been used for computing the different indicators in the article "Seasonal forecasts offer economic benefit for hydrological decision making in semi-arid regions".
Schlagworte:
Seasonal forecasts, drought, climate trends, reanalysis, ERA5, SEAS5
Zugehörige Informationen:
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Sprache:
Englisch
Herausgeber/in:
Karlsruhe Institute of Technology (KIT)
Erstellungsjahr:
Fachgebiet:
Geological Science
Environmental Science and Ecology
Climate Science
Objekttyp:
Dataset
Datenquelle:
(Other) ECMWF ERA5
(Other) ECMWF SEAS5
(Other) HydroSHEDS
Verwendete Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Lizenz:
Rechteinhaber/in:
Karlsruhe Institute of Technology (KIT)
Förderung:
Bundesministerium für Bildung und Forschung - (SaWaM)(02WGR1421)
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Status:
Publiziert
Eingestellt von:
871893860b7f52e7214215615a0c1fcf
Erstellt am:
Archivierungsdatum:
2021-06-24
Archivgröße:
15,2 MB
Archiversteller:
871893860b7f52e7214215615a0c1fcf
Archiv-Prüfsumme:
7613666eacbe1e771e4df4a0ff645b9a (MD5)
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