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Gridded precipitation datasets are becoming a convenient substitute for gauge measurements in hydrological modeling; however, these data have not been fully evaluated across a range of conditions. We compared four gridded datasets (Daily Surface Weather and Climatological Summaries [DAYMET], North American Land Data Assimilation System [NLDAS], Global Land Data Assimilation System [GLDAS], and Parameter‐elevation Regressions on Independent Slopes Model [PRISM]) as precipitation data sources and evaluated how they affected hydrologic model performance when compared with a gauged dataset, Global Historical Climatology Network‐Daily (GHCN‐D). Analyses were performed for the Delaware Watershed at Perry Lake in eastern Kansas. Precipitation indices for DAYMET and PRISM precipitation closely matched GHCN‐D, whereas NLDAS and GLDAS showed weaker correlations. We also used these precipitation data as input to the Soil and Water Assessment Tool (SWAT) model that confirmed similar trends in streamflow simulation. For stations with complete data, GHCN‐D based SWAT‐simulated streamflow variability better than gridded precipitation data. During low flow periods we found PRISM performed better, whereas both DAYMET and NLDAS performed better in high flow years. Our results demonstrate that combining gridded precipitation sources with gauge‐based measurements can improve hydrologic model performance, especially for extreme events.  相似文献   
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电解水制氢技术进展   总被引:9,自引:0,他引:9  
氢能清洁无污染,并且高效,可再生,被视为未来最有潜力的能量载体。在目前的各种制氢技术中,利用可再生能源所产生的电能作为动力来电解水是最为成熟和最有潜力的技术,是通向氢经济的最佳途径。简要介绍了碱性电解槽,聚合物薄膜电解槽,固体氧化物电解槽的基本原理,研究现状,并对有关问题和电解槽的现状,发展趋势作了讨论。  相似文献   
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