Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument

J. Verkaik; J. D. Hughes; P. E.V. van Walsum; G. H.P. Oude Essink; H. X. Lin; M. F.P. Bierkens

doi:10.1016/j.envsoft.2021.105092

Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument

J. Verkaik^*, J. D. Hughes, P. E.V. van Walsum, G. H.P. Oude Essink, H. X. Lin, M. F.P. Bierkens

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Worldwide, billions of people rely on fresh groundwater reserves for their domestic, agricultural and industrial water use. Extreme droughts and excessive groundwater pumping put pressure on water authorities in maintaining sustainable water usage. High-resolution integrated models are valuable assets in supporting them. The Netherlands Hydrological Instrument (NHI) provides the Dutch water authorities with open source modeling software and data. However, NHI integrated groundwater models often require long run times and large memory usage, therefore strongly limiting their application. As a solution, we present a distributed memory parallelization, focusing on the National Hydrological Model. Depending on the level of integration, we show that significant speedups can be obtained up to two orders of magnitude. As far as we know, this is the first reported integrated groundwater parallelization of an operational hydrological model used for national-scale integrated water management and policy making. The parallel model code and data are freely available.

Original language	English
Article number	105092
Pages (from-to)	1-15
Journal	Environmental Modelling and Software
Volume	143
DOIs	https://doi.org/10.1016/j.envsoft.2021.105092
Publication status	Published - Sept 2021

Bibliographical note

Funding Information:
We thank Deltares, in special Timo Kroon as project leader of NHI, for making this research possible. We also thank Peter Vermeulen, the iMOD code architect, for his help on incorporating PKS in iMOD. Moreover, we thank Joachim Hunink, Liduin Burgering and Janneke Pouwels for their support in running testing the NHM in parallel on the NHI server. Furthermore, we thank John Donners, Edwin Sutanudjaja, and Martijn Russcher for their support on running jobs on Cartesius. This work was carried out on the Dutch national e-infrastructure with the support of the SURF Cooperative.

Publisher Copyright:
© 2021 The Authors

Funding

We thank Deltares, in special Timo Kroon as project leader of NHI, for making this research possible. We also thank Peter Vermeulen, the iMOD code architect, for his help on incorporating PKS in iMOD. Moreover, we thank Joachim Hunink, Liduin Burgering and Janneke Pouwels for their support in running testing the NHM in parallel on the NHI server. Furthermore, we thank John Donners, Edwin Sutanudjaja, and Martijn Russcher for their support on running jobs on Cartesius. This work was carried out on the Dutch national e-infrastructure with the support of the SURF Cooperative.

Keywords

Distributed memory
Groundwater
Integrated modeling
Netherlands Hydrological Instrument
Numerical modeling
Parallel computing

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10.1016/j.envsoft.2021.105092Licence: CC BY

1-s2.0-S1364815221001353-mainFinal published version, 10.3 MBLicence: CC BY

Cite this

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title = "Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument",

abstract = "Worldwide, billions of people rely on fresh groundwater reserves for their domestic, agricultural and industrial water use. Extreme droughts and excessive groundwater pumping put pressure on water authorities in maintaining sustainable water usage. High-resolution integrated models are valuable assets in supporting them. The Netherlands Hydrological Instrument (NHI) provides the Dutch water authorities with open source modeling software and data. However, NHI integrated groundwater models often require long run times and large memory usage, therefore strongly limiting their application. As a solution, we present a distributed memory parallelization, focusing on the National Hydrological Model. Depending on the level of integration, we show that significant speedups can be obtained up to two orders of magnitude. As far as we know, this is the first reported integrated groundwater parallelization of an operational hydrological model used for national-scale integrated water management and policy making. The parallel model code and data are freely available.",

keywords = "Distributed memory, Groundwater, Integrated modeling, Netherlands Hydrological Instrument, Numerical modeling, Parallel computing",

author = "J. Verkaik and Hughes, \{J. D.\} and \{van Walsum\}, \{P. E.V.\} and \{Oude Essink\}, \{G. H.P.\} and Lin, \{H. X.\} and Bierkens, \{M. F.P.\}",

note = "Funding Information: We thank Deltares, in special Timo Kroon as project leader of NHI, for making this research possible. We also thank Peter Vermeulen, the iMOD code architect, for his help on incorporating PKS in iMOD. Moreover, we thank Joachim Hunink, Liduin Burgering and Janneke Pouwels for their support in running testing the NHM in parallel on the NHI server. Furthermore, we thank John Donners, Edwin Sutanudjaja, and Martijn Russcher for their support on running jobs on Cartesius. This work was carried out on the Dutch national e-infrastructure with the support of the SURF Cooperative. Publisher Copyright: {\textcopyright} 2021 The Authors",

year = "2021",

month = sep,

doi = "10.1016/j.envsoft.2021.105092",

language = "English",

volume = "143",

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AU - Hughes, J. D.

AU - van Walsum, P. E.V.

AU - Oude Essink, G. H.P.

AU - Lin, H. X.

AU - Bierkens, M. F.P.

N1 - Funding Information: We thank Deltares, in special Timo Kroon as project leader of NHI, for making this research possible. We also thank Peter Vermeulen, the iMOD code architect, for his help on incorporating PKS in iMOD. Moreover, we thank Joachim Hunink, Liduin Burgering and Janneke Pouwels for their support in running testing the NHM in parallel on the NHI server. Furthermore, we thank John Donners, Edwin Sutanudjaja, and Martijn Russcher for their support on running jobs on Cartesius. This work was carried out on the Dutch national e-infrastructure with the support of the SURF Cooperative. Publisher Copyright: © 2021 The Authors

PY - 2021/9

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N2 - Worldwide, billions of people rely on fresh groundwater reserves for their domestic, agricultural and industrial water use. Extreme droughts and excessive groundwater pumping put pressure on water authorities in maintaining sustainable water usage. High-resolution integrated models are valuable assets in supporting them. The Netherlands Hydrological Instrument (NHI) provides the Dutch water authorities with open source modeling software and data. However, NHI integrated groundwater models often require long run times and large memory usage, therefore strongly limiting their application. As a solution, we present a distributed memory parallelization, focusing on the National Hydrological Model. Depending on the level of integration, we show that significant speedups can be obtained up to two orders of magnitude. As far as we know, this is the first reported integrated groundwater parallelization of an operational hydrological model used for national-scale integrated water management and policy making. The parallel model code and data are freely available.

AB - Worldwide, billions of people rely on fresh groundwater reserves for their domestic, agricultural and industrial water use. Extreme droughts and excessive groundwater pumping put pressure on water authorities in maintaining sustainable water usage. High-resolution integrated models are valuable assets in supporting them. The Netherlands Hydrological Instrument (NHI) provides the Dutch water authorities with open source modeling software and data. However, NHI integrated groundwater models often require long run times and large memory usage, therefore strongly limiting their application. As a solution, we present a distributed memory parallelization, focusing on the National Hydrological Model. Depending on the level of integration, we show that significant speedups can be obtained up to two orders of magnitude. As far as we know, this is the first reported integrated groundwater parallelization of an operational hydrological model used for national-scale integrated water management and policy making. The parallel model code and data are freely available.

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KW - Numerical modeling

KW - Parallel computing

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Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument

Abstract

Bibliographical note

Funding

Keywords

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