Alternate identifier:
-
Related identifier:
(Is Derived From) 10.26050/WDCC/SaWaM_D02_SEAS5_BCSD - DOI
(Continues) 10.5194/essd-2020-177 - DOI
(Continues) 10.1002/2014WR016794 - DOI
Creator/Author:
Borne, Maurus https://orcid.org/0000-0003-4656-5878 [Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Department Troposphere Research (IMK-TRO)]
Contributors:
(Researcher)
Lorenz, Christof https://orcid.org/0000-0001-5590-5470 [Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Portele, Tanja Christina https://orcid.org/0000-0001-9436-710X [Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Project Leader)
Kunstmann, Harald https://orcid.org/0000-0001-9573-1743 [Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)]

(Researcher)
Martins, Eduardo Sávio Passos Rodrigues https://orcid.org/0000-0002-9858-2541 [Research Institute of Meteorology and Water Resources (FUNCEME)]

(Researcher)
das Chagas Vasconcelos Júnior, Francisco https://orcid.org/0000-0002-1558-8383 [Research Institute of Meteorology and Water Resources (FUNCEME)]
Title:
Ensemble Kalman-Filter-based seasonal runoff predictions for the Rio São Francisco River Basin
Additional titles:
-
Description:
(Abstract) In semi-arid regions, interannual variability of seasonal rainfall and climate change is expected to stress water availability and increase the recurrence and intensity of extreme events such as droughts or floods. Local decision makers therefore need reliable long-term hydro-meteorological forecast...
Keywords:
Hydrometeorology
Seasonal runoff prediction
River basin management
Data assimilation
Rio São Francisco
Related information:
-
Language:
English
Publishers:
Karlsruhe Institute of Technology (KIT)
Production year:
Subject areas:
Geological Science
Resource type:
Dataset
Data source:
(Other) European Center for Medium Range Weather Forecasts (ECMWF), Copernicus, Brazilian National Water Agency (ANA)
Software used:
Resource processing
Software:
Python - 3.8
Alternative software:
-
Data processing:
-
Publication year:
Rights holders:
Karlsruhe Institute of Technology (KIT)
Funding:
-
Name Storage Metadata Upload Action
Status:
Published
Uploaded by:
871893860b7f52e7214215615a0c1fcf
Created on:
Archiving date:
2023-01-13
Archive size:
50.1 MB
Archive creator:
871893860b7f52e7214215615a0c1fcf
Archive checksum:
59ba3954ad2da26d745bda20484809db (MD5)
Embargo period:
-

Geolocation