利用加拿大ERA5输入数据评估地表向下长波辐照度模式

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
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引用次数: 0

摘要

在炎热的夏季,长波辐射(LR)是负责增温和冷却水的能量平衡成分之一。大气发射的向下进入的LR和地表发射的向外的LR都没有被广泛测量。云对LR热收支的影响使得为全天条件建立可靠的公式变得更加困难。本文利用ERA5再分析数据库的气温和云量对20种模式的地表向下长波辐照度(DLI)进行了比较,并与ERA5的DLI产品进行了比较。我们的工作使用了加拿大三个站点的长期连续DLI测量数据,以及ERA5再分析,这是数据稀缺地区(如加拿大不列颠哥伦比亚省中部)的可靠来源。结果表明,利用ERA5再分析数据在全天空条件下对不同公式进行局部定标是可行的,RMSE指标范围为37.1 ~ 37.1,与ERA5再分析数据具有可比性,可在更大尺度上应用于水文模型。此外,还表明,ERA5网格数据对DLI的效果最好。这种更高的性能表明可以直接使用ERA5数据作为水文和生态模型的输入数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the surface downward longwave irradiance models using ERA5 input data in Canada
Longwave radiation (LR) is one of the energy balance components responsible for warming and cooling water during hot summers. Both downward incoming LR, emitted by the atmosphere, and outgoing LR emitted by land surface are not widely measured. The influence of clouds on the LR heat budget makes it even harder to establish reliable formulations for all-sky conditions. This paper uses air temperature and cloud cover from the ERA5 reanalysis database to compare 20 models for the downward longwave irradiance (DLI) at the Earth’s surface and compare them with ERA5’s DLI product. Our work uses long-time continuous DLI measured data at three stations over Canada, and ERA5 reanalysis, a reliable source for data-scarce regions, such as central British Columbia (Canada). The results show the feasibility of the local calibration of different formulations using ERA5 reanalysis data for all-sky conditions with RMSE metrics ranging from 37.1 to , which is comparable with ERA5 reanalysis data and can easily be applied at broader scales by implementing it into hydrological models. Moreover, it is shown that ERA5 gridded data for DLI shows the best results with . This higher performance suggests using ERA5 data directly as input data for hydrological and ecological models.
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来源期刊
Journal of Hydrometeorology
Journal of Hydrometeorology 地学-气象与大气科学
CiteScore
7.40
自引率
5.30%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.
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