A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations

Pugliese, Alessio; Persiano, Simone; Bagli, Stefano; Mazzoli, Paolo; Parajka, Juraj; Arheimer, Berit; Capell, René; Montanari, Alberto; Blöschl, Günter; Castellarin, Attilio

doi:https://doi.org/10.5194/hess-22-4633-2018

Articles | Volume 22, issue 9

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Articles | Volume 22, issue 9

https://doi.org/10.5194/hess-22-4633-2018

Articles | Volume 22, issue 9

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Research article

06 Sep 2018

Research article |

| 06 Sep 2018

A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations

Alessio Pugliese, Simone Persiano, Stefano Bagli, Paolo Mazzoli, Juraj Parajka, Berit Arheimer, René Capell, Alberto Montanari, Günter Blöschl, and Attilio Castellarin

Alessio Pugliese

https://orcid.org/0000-0003-0403-0533

Department DICAM, University of Bologna, Bologna, Italy

Simone Persiano

https://orcid.org/0000-0002-9857-738X

Department DICAM, University of Bologna, Bologna, Italy

Stefano Bagli

https://orcid.org/0000-0002-1194-6665

GECOsistema srl, Cesena, Italy

Paolo Mazzoli

GECOsistema srl, Cesena, Italy

Juraj Parajka

https://orcid.org/0000-0002-1177-5181

Institute for Hydraulic and Water Resources Engineering, TU Wien, Vienna, Austria

Berit Arheimer

https://orcid.org/0000-0001-8314-0735

Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden

René Capell

https://orcid.org/0000-0002-7784-1313

Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden

Alberto Montanari

https://orcid.org/0000-0001-7428-0410

Department DICAM, University of Bologna, Bologna, Italy

Günter Blöschl

https://orcid.org/0000-0003-2227-8225

Institute for Hydraulic and Water Resources Engineering, TU Wien, Vienna, Austria

Attilio Castellarin

CORRESPONDING AUTHOR

attilio.castellarin@unibo.it

https://orcid.org/0000-0002-6111-0612

Department DICAM, University of Bologna, Bologna, Italy

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Cumulative views and downloads (calculated since 13 Oct 2017)

Total article views: 2,863 (including HTML, PDF, and XML)

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PDF: 824
XML: 91
Total: 2,863
BibTeX: 92
EndNote: 83

Views and downloads (calculated since 06 Sep 2018)

Month	HTML	PDF	XML	Total
Sep 2018	340	107	6	453
Oct 2018	44	25	3	72
Nov 2018	24	25	0	49
Dec 2018	26	15	0	41
Jan 2019	13	18	0	31
Feb 2019	10	11	0	21
Mar 2019	11	9	0	20
Apr 2019	7	10	0	17
May 2019	15	6	0	21
Jun 2019	27	14	2	43
Jul 2019	14	8	1	23
Aug 2019	13	13	0	26
Sep 2019	8	11	0	19
Oct 2019	28	25	1	54
Nov 2019	17	15	0	32
Dec 2019	16	8	1	25
Jan 2020	32	15	1	48
Feb 2020	13	11	1	25
Mar 2020	16	16	0	32
Apr 2020	18	7	0	25
May 2020	18	3	0	21
Jun 2020	12	2	1	15
Jul 2020	18	7	2	27
Aug 2020	11	7	1	19
Sep 2020	20	9	0	29
Oct 2020	6	6	1	13
Nov 2020	18	9	0	27
Dec 2020	10	5	0	15
Jan 2021	23	6	0	29
Feb 2021	21	11	0	32
Mar 2021	11	4	0	15
Apr 2021	7	4	0	11
May 2021	14	10	1	25
Jun 2021	8	10	1	19
Jul 2021	9	5	0	14
Aug 2021	9	4	0	13
Sep 2021	16	9	0	25
Oct 2021	7	37	0	44
Nov 2021	11	16	0	27
Dec 2021	15	3	0	18
Jan 2022	14	10	1	25
Feb 2022	12	7	1	20
Mar 2022	14	5	1	20
Apr 2022	8	6	1	15
May 2022	16	6	1	23
Jun 2022	14	4	2	20
Jul 2022	20	2	0	22
Aug 2022	78	4	0	82
Sep 2022	11	5	0	16
Oct 2022	18	8	0	26
Nov 2022	35	8	1	44
Dec 2022	17	6	1	24
Jan 2023	14	12	0	26
Feb 2023	21	5	3	29
Mar 2023	16	7	4	27
Apr 2023	40	9	3	52
May 2023	12	12	1	25
Jun 2023	23	15	0	38
Jul 2023	11	9	3	23
Aug 2023	9	4	2	15
Sep 2023	10	4	0	14
Oct 2023	13	6	2	21
Nov 2023	6	3	1	10
Dec 2023	18	4	1	23
Jan 2024	19	8	0	27
Feb 2024	8	13	1	22
Mar 2024	14	13	1	28
Apr 2024	17	7	2	26
May 2024	18	17	6	41
Jun 2024	39	16	4	59
Jul 2024	295	8	5	308
Aug 2024	30	2	8	40
Sep 2024	11	4	4	19
Oct 2024	12	4	0	16
Nov 2024	10	5	1	16
Dec 2024	10	3	2	15
Jan 2025	13	11	1	25
Feb 2025	20	6	3	29
Mar 2025	19	7	1	27
Apr 2025	7	3	0	10

Cumulative views and downloads (calculated since 06 Sep 2018)

Month	HTML	PDF	XML	Total
Sep 2018	340	107	6	453
Oct 2018	44	25	3	72
Nov 2018	24	25	0	49
Dec 2018	26	15	0	41
Jan 2019	13	18	0	31
Feb 2019	10	11	0	21
Mar 2019	11	9	0	20
Apr 2019	7	10	0	17
May 2019	15	6	0	21
Jun 2019	27	14	2	43
Jul 2019	14	8	1	23
Aug 2019	13	13	0	26
Sep 2019	8	11	0	19
Oct 2019	28	25	1	54
Nov 2019	17	15	0	32
Dec 2019	16	8	1	25
Jan 2020	32	15	1	48
Feb 2020	13	11	1	25
Mar 2020	16	16	0	32
Apr 2020	18	7	0	25
May 2020	18	3	0	21
Jun 2020	12	2	1	15
Jul 2020	18	7	2	27
Aug 2020	11	7	1	19
Sep 2020	20	9	0	29
Oct 2020	6	6	1	13
Nov 2020	18	9	0	27
Dec 2020	10	5	0	15
Jan 2021	23	6	0	29
Feb 2021	21	11	0	32
Mar 2021	11	4	0	15
Apr 2021	7	4	0	11
May 2021	14	10	1	25
Jun 2021	8	10	1	19
Jul 2021	9	5	0	14
Aug 2021	9	4	0	13
Sep 2021	16	9	0	25
Oct 2021	7	37	0	44
Nov 2021	11	16	0	27
Dec 2021	15	3	0	18
Jan 2022	14	10	1	25
Feb 2022	12	7	1	20
Mar 2022	14	5	1	20
Apr 2022	8	6	1	15
May 2022	16	6	1	23
Jun 2022	14	4	2	20
Jul 2022	20	2	0	22
Aug 2022	78	4	0	82
Sep 2022	11	5	0	16
Oct 2022	18	8	0	26
Nov 2022	35	8	1	44
Dec 2022	17	6	1	24
Jan 2023	14	12	0	26
Feb 2023	21	5	3	29
Mar 2023	16	7	4	27
Apr 2023	40	9	3	52
May 2023	12	12	1	25
Jun 2023	23	15	0	38
Jul 2023	11	9	3	23
Aug 2023	9	4	2	15
Sep 2023	10	4	0	14
Oct 2023	13	6	2	21
Nov 2023	6	3	1	10
Dec 2023	18	4	1	23
Jan 2024	19	8	0	27
Feb 2024	8	13	1	22
Mar 2024	14	13	1	28
Apr 2024	17	7	2	26
May 2024	18	17	6	41
Jun 2024	39	16	4	59
Jul 2024	295	8	5	308
Aug 2024	30	2	8	40
Sep 2024	11	4	4	19
Oct 2024	12	4	0	16
Nov 2024	10	5	1	16
Dec 2024	10	3	2	15
Jan 2025	13	11	1	25
Feb 2025	20	6	3	29
Mar 2025	19	7	1	27
Apr 2025	7	3	0	10

Total article views: 1,124 (including HTML, PDF, and XML)

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673	431	20	1,124	17	23

HTML: 673
PDF: 431
XML: 20
Total: 1,124
BibTeX: 17
EndNote: 23

Views and downloads (calculated since 13 Oct 2017)

Month	HTML	PDF	XML	Total
Sep 2018	340	107	6	453
Oct 2018	44	25	3	72
Nov 2018	24	25	0	49
Dec 2018	26	15	0	41
Jan 2019	13	18	0	31
Feb 2019	10	11	0	21
Mar 2019	11	9	0	20
Apr 2019	7	10	0	17
May 2019	15	6	0	21
Jun 2019	27	14	2	43
Jul 2019	14	8	1	23
Aug 2019	13	13	0	26
Sep 2019	8	11	0	19
Oct 2019	28	25	1	54
Nov 2019	17	15	0	32
Dec 2019	16	8	1	25
Jan 2020	32	15	1	48
Feb 2020	13	11	1	25
Mar 2020	16	16	0	32
Apr 2020	18	7	0	25
May 2020	18	3	0	21
Jun 2020	12	2	1	15
Jul 2020	18	7	2	27
Aug 2020	11	7	1	19
Sep 2020	20	9	0	29
Oct 2020	6	6	1	13
Nov 2020	18	9	0	27
Dec 2020	10	5	0	15
Jan 2021	23	6	0	29
Feb 2021	21	11	0	32
Mar 2021	11	4	0	15
Apr 2021	7	4	0	11
May 2021	14	10	1	25
Jun 2021	8	10	1	19
Jul 2021	9	5	0	14
Aug 2021	9	4	0	13
Sep 2021	16	9	0	25
Oct 2021	7	37	0	44
Nov 2021	11	16	0	27
Dec 2021	15	3	0	18
Jan 2022	14	10	1	25
Feb 2022	12	7	1	20
Mar 2022	14	5	1	20
Apr 2022	8	6	1	15
May 2022	16	6	1	23
Jun 2022	14	4	2	20
Jul 2022	20	2	0	22
Aug 2022	78	4	0	82
Sep 2022	11	5	0	16
Oct 2022	18	8	0	26
Nov 2022	35	8	1	44
Dec 2022	17	6	1	24
Jan 2023	14	12	0	26
Feb 2023	21	5	3	29
Mar 2023	16	7	4	27
Apr 2023	40	9	3	52
May 2023	12	12	1	25
Jun 2023	23	15	0	38
Jul 2023	11	9	3	23
Aug 2023	9	4	2	15
Sep 2023	10	4	0	14
Oct 2023	13	6	2	21
Nov 2023	6	3	1	10
Dec 2023	18	4	1	23
Jan 2024	19	8	0	27
Feb 2024	8	13	1	22
Mar 2024	14	13	1	28
Apr 2024	17	7	2	26
May 2024	18	17	6	41
Jun 2024	39	16	4	59
Jul 2024	295	8	5	308
Aug 2024	30	2	8	40
Sep 2024	11	4	4	19
Oct 2024	12	4	0	16
Nov 2024	10	5	1	16
Dec 2024	10	3	2	15
Jan 2025	13	11	1	25
Feb 2025	20	6	3	29
Mar 2025	19	7	1	27
Apr 2025	7	3	0	10

Cumulative views and downloads (calculated since 13 Oct 2017)

Month	HTML	PDF	XML	Total
Sep 2018	340	107	6	453
Oct 2018	44	25	3	72
Nov 2018	24	25	0	49
Dec 2018	26	15	0	41
Jan 2019	13	18	0	31
Feb 2019	10	11	0	21
Mar 2019	11	9	0	20
Apr 2019	7	10	0	17
May 2019	15	6	0	21
Jun 2019	27	14	2	43
Jul 2019	14	8	1	23
Aug 2019	13	13	0	26
Sep 2019	8	11	0	19
Oct 2019	28	25	1	54
Nov 2019	17	15	0	32
Dec 2019	16	8	1	25
Jan 2020	32	15	1	48
Feb 2020	13	11	1	25
Mar 2020	16	16	0	32
Apr 2020	18	7	0	25
May 2020	18	3	0	21
Jun 2020	12	2	1	15
Jul 2020	18	7	2	27
Aug 2020	11	7	1	19
Sep 2020	20	9	0	29
Oct 2020	6	6	1	13
Nov 2020	18	9	0	27
Dec 2020	10	5	0	15
Jan 2021	23	6	0	29
Feb 2021	21	11	0	32
Mar 2021	11	4	0	15
Apr 2021	7	4	0	11
May 2021	14	10	1	25
Jun 2021	8	10	1	19
Jul 2021	9	5	0	14
Aug 2021	9	4	0	13
Sep 2021	16	9	0	25
Oct 2021	7	37	0	44
Nov 2021	11	16	0	27
Dec 2021	15	3	0	18
Jan 2022	14	10	1	25
Feb 2022	12	7	1	20
Mar 2022	14	5	1	20
Apr 2022	8	6	1	15
May 2022	16	6	1	23
Jun 2022	14	4	2	20
Jul 2022	20	2	0	22
Aug 2022	78	4	0	82
Sep 2022	11	5	0	16
Oct 2022	18	8	0	26
Nov 2022	35	8	1	44
Dec 2022	17	6	1	24
Jan 2023	14	12	0	26
Feb 2023	21	5	3	29
Mar 2023	16	7	4	27
Apr 2023	40	9	3	52
May 2023	12	12	1	25
Jun 2023	23	15	0	38
Jul 2023	11	9	3	23
Aug 2023	9	4	2	15
Sep 2023	10	4	0	14
Oct 2023	13	6	2	21
Nov 2023	6	3	1	10
Dec 2023	18	4	1	23
Jan 2024	19	8	0	27
Feb 2024	8	13	1	22
Mar 2024	14	13	1	28
Apr 2024	17	7	2	26
May 2024	18	17	6	41
Jun 2024	39	16	4	59
Jul 2024	295	8	5	308
Aug 2024	30	2	8	40
Sep 2024	11	4	4	19
Oct 2024	12	4	0	16
Nov 2024	10	5	1	16
Dec 2024	10	3	2	15
Jan 2025	13	11	1	25
Feb 2025	20	6	3	29
Mar 2025	19	7	1	27
Apr 2025	7	3	0	10

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China	2	774	19
Germany	3	252	6
Italy	4	248	6
Canada	5	124	3

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China	2	625	21
Germany	3	148	5
Italy	4	148	5
Canada	5	59	2

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China	2	149	13
Germany	3	104	9
Italy	4	100	8
Canada	5	65	5


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Cited

Show all Final revised paper only Preprint only

9 citations as recorded by crossref.

Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. 10.1002/wat2.1487
Multifactorial Principal‐Monotonicity Inference for Macro‐Scale Distributed Hydrologic Modeling G. Cheng et al. 10.1029/2021WR031370
Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves A. Domeneghetti et al. 10.3390/rs16142607
Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. 10.5194/hess-26-975-2022
A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions S. Persiano et al. 10.1080/02626667.2021.1879389
Application of the Regression-Augmented Regionalization Approach for BTOP Model in Ungauged Basins Y. Zhu et al. 10.3390/w13162294
Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves W. Farmer et al. 10.5194/hess-22-5741-2018
Editorial: Spatiotemporal modelling and assessment of water-related multi-hazards P. Ganguli et al. 10.3389/frwa.2025.1579106

9 citations as recorded by crossref.

Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. 10.1002/wat2.1487
Multifactorial Principal‐Monotonicity Inference for Macro‐Scale Distributed Hydrologic Modeling G. Cheng et al. 10.1029/2021WR031370
Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves A. Domeneghetti et al. 10.3390/rs16142607
Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. 10.5194/hess-26-975-2022
A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions S. Persiano et al. 10.1080/02626667.2021.1879389
Application of the Regression-Augmented Regionalization Approach for BTOP Model in Ungauged Basins Y. Zhu et al. 10.3390/w13162294
Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves W. Farmer et al. 10.5194/hess-22-5741-2018
Editorial: Spatiotemporal modelling and assessment of water-related multi-hazards P. Ganguli et al. 10.3389/frwa.2025.1579106

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Short summary

This research work focuses on the development of an innovative method for enhancing the predictive capability of macro-scale rainfall–runoff models by means of a geostatistical apporach. In our method, one can get enhanced streamflow simulations without any further model calibration. Indeed, this method is neither computational nor data-intensive and is implemented only using observed streamflow data and a GIS vector layer with catchment boundaries. Assessments are performed in the Tyrol region.

This research work focuses on the development of an innovative method for enhancing the...