Parameters for rainfall-runoff modelling in subcatchments of the Citarum basin, Java, Indonesia

The dataset contains parameter values that maximize revised Kling Gupta Efficiency (KGE’) between modelled and observed daily mean river flows when running one of 24 different hydrological models with one of 21 different climatic input datasets in one of 33 different catchments across the Citarum basin or 5 catchments across the Ciliwung basin, both in Java island, Indonesia. This dataset was created as part of a study on the advantages and disadvantages of using existing hydrological models, primarily developed for temperate and cold climates, in a tropical volcanic region. The hydrological models were based on those created for MARRMoT v1.2 (10.5194/gmd-12-2463-2019), recoded as sequential models in the R programming language.

This work was supported by the Natural Environment Research Council (Grants NE/S00310X/1 and NE/S002790/1).

Full details about this dataset can be found at https://doi.org/10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d

Identification info

Metadata Language: English (en)

Character set: utf8

Dataset Reference Date (): 2022-09-02

Identifier: https://catalogue.ceh.ac.uk/id/f6cec7d4-edee-44b8-8f44-86d4f12ac72d

Identifier: doi: / 10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d

Other citation details: Vesuviano, G., Mathias, S.A., Rahayu, R., Reaney, S.M. (2022). Parameters for rainfall-runoff modelling in subcatchments of the Citarum basin, Java, Indonesia. NERC EDS Environmental Information Data Centre 10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d

UK Centre for Ecology & Hydrology - Vesuviano, G.

Durham University - Mathias, S.A.

Durham University - Rahayu, R.

Durham University - Reaney, S.M.

UK Centre for Ecology & Hydrology - Dr Gianni Vesuviano

NERC EDS Environmental Information Data Centre

UK Centre for Ecology & Hydrology - Dr Gianni Vesuviano

GEMET - INSPIRE themes, version 1.0 ()

Environmental Monitoring Facilities

Keywords

Hydrology
Rainfall-runoff model
Model parameters
Indonesia

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Other constraints: This resource is available under the terms of the Open Government Licence

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Other constraints: If you reuse this data, you should cite: Vesuviano, G., Mathias, S.A., Rahayu, R., Reaney, S.M. (2022). Parameters for rainfall-runoff modelling in subcatchments of the Citarum basin, Java, Indonesia. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d

Spatial representation type: textTable

Topic category

Environment

Code: WGS 84 / Pseudo-Mercator

Distribution Information

Data format

Comma-separated values (CSV) ()

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Resource Locator: Supporting information
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Resource Locator: Download the data
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Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

Quality Scope: dataset

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Report

Dataset Reference Date (): 2010-12-08

Statement: The parameter set in each row of each file was selected from 100,000 candidate sets – being the one set that maximized KGE’ between modelled and observed river flow.

First, 100,000 candidate parameter sets were generated by sampling the parameter values from uniform distributions with upper and lower limits suggested for each model parameter in the documentation of MARRMoT v1.2 (10.5194/gmd-12-2463-2019). Each model was input with one of 21 combinations of seven precipitation datasets of daily time resolution (AgMERRA, CHIRPS v2, CPC, MSWEP v2, PERSIANN-CDR, SA-OBS, Yanto (10.1038/sdata.2017.72)) and three evapotranspiration datasets of daily time resolution (AgMERRA, SA-OBS, Yanto) as climatic input data – for each catchment separately, catchment-average values were produced by identifying the catchment outline from a hydrologically corrected Digital Elevation Model (HydroSHEDS v1.1 CON 15-arcsecond) and overlaying this into the gridded precipitation and evapotranspiration products. Daily mean runoff (the model outflow) was obtained for each of the 38 catchments for 2,100,000 cases (100,000 parameter sets with 7 precipitation and 3 evapotranspiration datasets). Then, modified Kling-Gupta Efficency (KGE’) between modelled and observed daily mean flow was found, ignoring the first three years of modelled flow as “spin-up”.

Finally, the parameter set resulting in the highest KGE’ was saved for each catchment with each combination of input climatic data (38 catchments × 7 precipitation datasets × 3 evapotranspiration datasets = 798 parameter sets), for each model, resulting in the 24 files of 798 rows each that comprise this dataset.

Metadata

File identifier: f6cec7d4-edee-44b8-8f44-86d4f12ac72d XML

Metadata Language: English (en)

Character set: ISO/IEC 8859-1 (also known as Latin 1)

Resource type: dataset

Hierarchy level name: dataset

Metadata Date: 2022-09-05T13:31:36

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Environmental Information Data Centre

Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK

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