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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.5194/gmd-11-2429-2018 |
PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model. | |
Sutanudjaja EH; van Beek R; Wanders N; Wada Y; Bosmans JHC; Drost N; van der Ent RJ; de Graaf IEM | |
发表日期 | 2018 |
出处 | Geoscientific Model Development 11 (6): 2429-2453 |
出版年 | 2018 |
语种 | 英语 |
摘要 | We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption, and return flows are dynamically calculated at every time step and interact directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten in Python and PCRaster Python and has a modular structure, allowing easier replacement, maintenance, and development of model components. PCR-GLOBWB 2 has been implemented at 5 arcmin resolution, but a version parameterized at 30 arcmin resolution is also available. Both versions are available as open-source codes on https://github.com/UU-Hydro/PCR-GLOBWB_model (Sutanudjaja et al., 2017a). PCR-GLOBWB 2 has its own routines for groundwater dynamics and surface water routing. These relatively simple routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2 to a global two-layer groundwater model and 1-D–2-D hydrodynamic models. Here, we describe the main components of the model, compare results of the 30 and 5 arcmin versions, and evaluate their model performance using Global Runoff Data Centre discharge data. Results show that model performance of the 5 arcmin version is notably better than that of the 30 arcmin version. Furthermore, we compare simulated time series of total water storage (TWS) of the 5 arcmin model with those observed with GRACE, showing similar negative trends in areas of prevalent groundwater depletion. Also, we find that simulated total water withdrawal matches reasonably well with reported water withdrawal from AQUASTAT, while water withdrawal by source and sector provide mixed results. |
主题 | Water (WAT) |
URL | http://pure.iiasa.ac.at/id/eprint/15357/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131280 |
推荐引用方式 GB/T 7714 | Sutanudjaja EH,van Beek R,Wanders N,et al. PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model.. 2018. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
gmd-11-2429-2018.pdf(5109KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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