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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:
ORCiD logo [1];  [1];  [2];  [2];  [2];  [3];  [2]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research Inst.
  3. 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:
Research Org.:
Pacific Northwest National Lab. (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:
Journal Article: 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.
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. doi:10.5334/jors.197.
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. doi:10.5334/jors.197. https://www.osti.gov/servlets/purl/1430416.
@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},
issn = {2049-9647},
number = ,
volume = 6,
place = {United States},
year = {2018},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
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