Tethys – A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals

Li, Xinya; Vernon, Chris R.; Hejazi, Mohamad I.; Link, Robert P.; Huang, Zhongwei; Liu, Lu; Feng, Leyang

doi:10.5334/jors.197

Title: Tethys – A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals

Abstract

Downscaling of water withdrawals from regional/national to local scale is a fundamental step and also a common problem when integrating large scale economic and integrated assessment models with high-resolution detailed sectoral models. Tethys, an open-access software written in Python, is developed with statistical downscaling algorithms, to spatially and temporally downscale water withdrawal data to a finer scale. The spatial resolution will be downscaled from region/basin scale to grid (0.5 geographic degree) scale and the temporal resolution will be downscaled from year to month. Tethys is used to produce monthly global gridded water withdrawal products based on estimates from the Global Change Assessment Model (GCAM).

Authors:

^[1]; Vernon, Chris R. ^[1]; Hejazi, Mohamad I. ^[2]; Link, Robert P. ^[2]; Huang, Zhongwei ^[2]; Liu, Lu ^[3]; Feng, Leyang ^[2]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research Inst.
Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research Inst.; Univ. of Maryland, College Park, MD (United States)

Publication Date:: Fri Feb 09 00:00:00 EST 2018

Research Org.:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1430416

Report Number(s):: PNNL-SA-129638
Journal ID: ISSN 2049-9647; KP1703030

Grant/Contract Number:: AC05-76RL01830

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Open Research Software

Additional Journal Information:: Journal Volume: 6; Journal ID: ISSN 2049-9647

Publisher:: Software Sustainability Institute

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION; Global Change Assessment Model (GCAM), Water Disaggregation, Global Water Withdrawals, Spatial Downscaling, Temporal Downscaling

Citation Formats


                    Li, Xinya, Vernon, Chris R., Hejazi, Mohamad I., Link, Robert P., Huang, Zhongwei, Liu, Lu, and Feng, Leyang. Tethys – A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals.  United States: N. p., 2018. 
Web.  doi:10.5334/jors.197.

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                    Li, Xinya, Vernon, Chris R., Hejazi, Mohamad I., Link, Robert P., Huang, Zhongwei, Liu, Lu, & Feng, Leyang. Tethys – A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals.  United States.  https://doi.org/10.5334/jors.197

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                    Li, Xinya, Vernon, Chris R., Hejazi, Mohamad I., Link, Robert P., Huang, Zhongwei, Liu, Lu, and Feng, Leyang. Fri .  
"Tethys – A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals".  United States.  https://doi.org/10.5334/jors.197.  https://www.osti.gov/servlets/purl/1430416.

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@article{osti_1430416,

  title        = {Tethys – A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals},

  author       = {Li, Xinya and Vernon, Chris R. and Hejazi, Mohamad I. and Link, Robert P. and Huang, Zhongwei and Liu, Lu and Feng, Leyang},

  abstractNote = {Downscaling of water withdrawals from regional/national to local scale is a fundamental step and also a common problem when integrating large scale economic and integrated assessment models with high-resolution detailed sectoral models. Tethys, an open-access software written in Python, is developed with statistical downscaling algorithms, to spatially and temporally downscale water withdrawal data to a finer scale. The spatial resolution will be downscaled from region/basin scale to grid (0.5 geographic degree) scale and the temporal resolution will be downscaled from year to month. Tethys is used to produce monthly global gridded water withdrawal products based on estimates from the Global Change Assessment Model (GCAM).},

  doi          = {10.5334/jors.197},

  journal      = {Journal of Open Research Software},

  number       = ,

  volume       = 6,

  place        = {United States},

  year         = {Fri Feb 09 00:00:00 EST 2018},

  month        = {Fri Feb 09 00:00:00 EST 2018}

}

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Works referenced in this record:

An integrated model for the assessment of global water resources – Part 1: Model description and input meteorological forcing
journal, January 2008

Hanasaki, N.; Kanae, S.; Oki, T.
Hydrology and Earth System Sciences, Vol. 12, Issue 4
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Balancing global water availability and use at basin scale in an integrated assessment model
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Kim, Son H.; Hejazi, Mohamad; Liu, Lu
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One-way coupling of an integrated assessment model and a water resources model: evaluation and implications of future changes over the US Midwest
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Voisin, N.; Liu, L.; Hejazi, M.
Hydrology and Earth System Sciences Discussions, Vol. 10, Issue 5
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Critical regions: A model-based estimation of world water resources sensitive to global changes
journal, December 2002

Alcamo, Joseph; Henrichs, Thomas
Aquatic Sciences, Vol. 64, Issue 4
DOI: 10.1007/PL00012591

One-way coupling of an integrated assessment model and a water resources model: evaluation and implications of future changes over the US Midwest
journal, January 2013

Voisin, N.; Liu, L.; Hejazi, M.
Hydrology and Earth System Sciences, Vol. 17, Issue 11
DOI: 10.5194/hess-17-4555-2013

Integrated assessment of global water scarcity over the 21st century under multiple climate change mitigation policies
journal, January 2014

Hejazi, M. I.; Edmonds, J.; Clarke, L.
Hydrology and Earth System Sciences, Vol. 18, Issue 8
DOI: 10.5194/hess-18-2859-2014

21st century United States emissions mitigation could increase water stress more than the climate change it is mitigating
journal, August 2015

Hejazi, Mohamad I.; Voisin, Nathalie; Liu, Lu
Proceedings of the National Academy of Sciences, Vol. 112, Issue 34
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An integrated assessment of climate change and the accelerated introduction of advanced energy technologies: An application of MiniCAM 1.0
journal, January 1997

Edmonds, Jae; Wise, Marshall; Pitcher, Hugh
Mitigation and Adaptation Strategies for Global Change, Vol. 1, Issue 4
DOI: 10.1007/BF00464886

An integrated model for the assessment of global water resources – Part 2: Applications and assessments
journal, January 2008

Hanasaki, N.; Kanae, S.; Oki, T.
Hydrology and Earth System Sciences, Vol. 12, Issue 4
DOI: 10.5194/hess-12-1027-2008

The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years: HYDE 3.1 Holocene land use
journal, September 2010

Klein Goldewijk, Kees; Beusen, Arthur; Van Drecht, Gerard
Global Ecology and Biogeography, Vol. 20, Issue 1
DOI: 10.1111/j.1466-8238.2010.00587.x

Xanthos – A Global Hydrologic Model
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Li, Xinya; Vernon, Chris R.; Hejazi, Mohamad I.
Journal of Open Research Software, Vol. 5
DOI: 10.5334/jors.181

Works referencing / citing this record:

Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine
journal, December 2019

Zeng, Hongwei; Wu, Bingfang; Zhang, Ning
Remote Sensing, Vol. 11, Issue 24
DOI: 10.3390/rs11242977

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Title: Tethys – A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals

Abstract

Citation Formats

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