Abstract
Demeter-W, an open-access software written in Python, consists of extensible module packages. It is developed with statistical downscaling algorithms, to spatially and temporally downscale water demand data into 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. For better understanding of the driving forces and patterns for global water withdrawal, the researchers is able to utilize Demeter-W to reconstruct the data sets to examine the issues related to water withdrawals at fine spatial and temporal scales.
- Release Date:
- 2017-09-26
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
BSD 2-clause "Simplified" License
- Sponsoring Org.:
-
USDOE Office of Science (SC)Primary Award/Contract Number:AC05-76RL01830
- Code ID:
- 5720
- Site Accession Number:
- 7667
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Demeter-W.
Computer Software.
https://github.com/JGCRI/demeter-w.
USDOE Office of Science (SC).
26 Sep. 2017.
Web.
doi:10.11578/dc.20171025.2019.
(2017, September 26).
Demeter-W.
[Computer software].
https://github.com/JGCRI/demeter-w.
https://doi.org/10.11578/dc.20171025.2019.
"Demeter-W." Computer software.
September 26, 2017.
https://github.com/JGCRI/demeter-w.
https://doi.org/10.11578/dc.20171025.2019.
@misc{
doecode_5720,
title = {Demeter-W},
author = ,
abstractNote = {Demeter-W, an open-access software written in Python, consists of extensible module packages. It is developed with statistical downscaling algorithms, to spatially and temporally downscale water demand data into 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. For better understanding of the driving forces and patterns for global water withdrawal, the researchers is able to utilize Demeter-W to reconstruct the data sets to examine the issues related to water withdrawals at fine spatial and temporal scales.},
doi = {10.11578/dc.20171025.2019},
url = {https://doi.org/10.11578/dc.20171025.2019},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.2019}},
year = {2017},
month = {sep}
}