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Data associated with the publication: Recalde-Coronel G. C. et al. (2024) Contributions of initial conditions and meteorological forecast to subseasonal-to-seasonal hydrological forecast skill in western tropical South America. Journal of Hydrometeorology

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https://archive.data.jhu.edu/citation?persistentId=doi:10.7281/T1/SQJ7G0
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This archive contains data used in the publication Recalde-Coronel G. C. et al. (2024). The sub-seasonal to seasonal hydrological forecast systems (S2S-HFS) dataset contains monthly spatial meteorological forcing fields (e.g., Tair, Qair, Rain) and hydrological variables (e.g., evapotranspiration, surface runoff) for Western Tropical South America (WTSA) for ten ensemble members. WTSA includes Peru, Ecuador, Colombia, and portions of Venezuela, Brazil, Bolivia, and Chile. We conducted the S2S-HFS hindcast simulations from 2000 to 2017 using the Noah-Multi-parameterization (Noah-MP) land surface model in offline mode within NASA’s Land Information System. The S2S-HFS hydrological simulations consist of daily outputs at 10-km spatial resolution over WTSA (1°N–18°S, 82°–67°W). The S2S-HFS is run using the downscaled NASA Goddard Earth Observing System Model - sub-seasonal to seasonal (GEOS-S2SV1) dataset as a meteorological forcing, and the Western Tropical of South America Land Data Assimilation systems (WTSA-LDAS; Recalde et al. 2021) retrospective simulation dataset as initial conditions. Further details of the S2S-HFS methodology are provided in Recalde-Coronel et al. (2024). Code for the NASA Land Information System used to generate these model outputs is maintained by NASA and is available at https://github.com/NASA-LIS/LISF. Variables included in the dataset: Net downward shortwave radiation Net downward longwave radiation Surface upward sensible heat flux Surface upward latent heat flux Precipitation rate Total evapotranspiration Surface temperature Soil moisture content Soil temperature Wind speed Specific humidity Surface pressure Leaf area index Green vegetation fraction Surface runoff amount Subsurface runoff amount Water table depth Terrestrial water storage

本数据集归档文件收录了Recalde-Coronel G. C.等人2024年发表论文中使用的相关数据。次季节到季节水文预报系统(Sub-seasonal to Seasonal Hydrological Forecast Systems, S2S-HFS)数据集覆盖南美热带西部地区(Western Tropical South America, WTSA),包含该区域10个集合成员的逐月空间气象强迫场(如气温(Tair)、比湿(Qair)、降水(Rain)等)与水文变量(如蒸散发、地表径流)。WTSA涵盖秘鲁、厄瓜多尔、哥伦比亚三国,以及委内瑞拉、巴西、玻利维亚与智利的部分区域。 本研究依托美国国家航空航天局(National Aeronautics and Space Administration, NASA)陆面信息系统(Land Information System, LIS),采用离线模式运行的Noah多参数化(Noah-Multi-parameterization, Noah-MP)陆面模型,于2000年至2017年间开展了S2S-HFS后报模拟。S2S-HFS水文模拟在WTSA区域(1°N–18°S,82°–67°W)以10千米空间分辨率输出逐日结果。 本研究使用降尺度后的NASA戈达德地球观测系统次季节到季节模式数据集(NASA Goddard Earth Observing System Model - Sub-seasonal to Seasonal, GEOS-S2SV1)作为气象强迫场,以南美热带西部地区陆面数据同化系统(Western Tropical of South America Land Data Assimilation Systems, WTSA-LDAS; Recalde et al. 2021)的回溯模拟数据集作为初始条件,运行S2S-HFS模型。S2S-HFS的方法学细节可参见Recalde-Coronel等人2024年的研究成果。用于生成上述模型输出的NASA陆面信息系统代码由NASA维护,可通过https://github.com/NASA-LIS/LISF获取。 本数据集包含的变量如下:净向下短波辐射、净向下长波辐射、地表向上感热通量、地表向上潜热通量、降水率、总蒸散发、地表温度、土壤含水量、土壤温度、风速、比湿、地表气压、叶面积指数、绿色植被覆盖率、地表径流量、地下径流量、地下水位深度、陆地水储量。
提供机构:
Johns Hopkins Research Data Repository
创建时间:
2024-04-09
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