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来自英国北怀克农场平台的每日天气、近地表土壤状况、流速和氮物种浓度的派生数据集。

Derived datasets of daily weather, near surface soil status, flow rates and concentrations of nitrogen species from the North Wyke farm platform, England.

作者信息

Zhang Yusheng, Hawkins Jane, Sint Hadewij, Collins Adrian L

机构信息

Net Zero and Resilient Farming, Rothamsted Research, North Wyke, Okehampton, Devon EX20 2SB, UK.

出版信息

Data Brief. 2025 Jan 22;59:111324. doi: 10.1016/j.dib.2025.111324. eCollection 2025 Apr.

DOI:10.1016/j.dib.2025.111324
PMID:39944607
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11815686/
Abstract

Weather conditions, hydrological responses and the dynamics of key nitrogen species in field runoff were continuously monitored at 15-min resolution on the intensively instrumented North Wyke Farm Platform (NWFP), a UK National Bioscience Research Infrastructure (NBRI), to support research on sustainable and resilient agriculture in the UK. Released data spanning 2013 to 2024 for 6 selected field catchments were aggregated to daily timestep, with reference to data quality flags, to produce continuous weather data, including maximum and minimum air temperature, daily total rainfall, wind speed and quality assured daily average soil moisture content, soil temperature at 15 cm depth, runoff rates, as well as nitrate, nitrite and ammonium concentrations. External data sources were sourced to infill some gaps for the weather data and summary statistics on data coverage were generated for the other data on an annual and seasonal basis where appropriate. Along with detailed field management data, the observed data provide a valuable resource for the parameterisation, calibration and validation of physically-based models for nitrogen losses at field scale to account for alternative management practices and land use under changing climate conditions.

摘要

在设备密集的英国国家生物科学研究基础设施(NBRI)北怀克农场平台(NWFP)上,以15分钟的分辨率持续监测天气状况、水文响应以及田间径流中关键氮素的动态变化,以支持英国可持续和抗逆农业的研究。参考数据质量标志,将2013年至2024年6个选定田间集水区发布的数据汇总到每日时间步长,以生成连续的天气数据,包括最高和最低气温、每日总降雨量、风速以及质量保证的每日平均土壤湿度、15厘米深度处的土壤温度、径流率,以及硝酸盐、亚硝酸盐和铵的浓度。利用外部数据源填补天气数据的一些空白,并在适当情况下按年度和季节生成其他数据的数据覆盖范围汇总统计。连同详细的田间管理数据,观测数据为基于物理的田间尺度氮素损失模型的参数化、校准和验证提供了宝贵资源,以考虑气候变化条件下的替代管理实践和土地利用。

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本文引用的文献

1
Diffuse water pollution during recent extreme wet-weather in the UK: Environmental damage costs and insight into the future?英国近期极端潮湿天气期间的水体污染扩散:环境破坏成本及对未来的洞察?
J Clean Prod. 2022 Mar 1;338:130633. doi: 10.1016/j.jclepro.2022.130633.
2
Tackling unintended consequences of grazing livestock farming: Multi-scale assessment of co-benefits and trade-offs for water pollution mitigation scenarios.应对放牧畜牧业的意外后果:水污染缓解情景下协同效益与权衡的多尺度评估。
J Clean Prod. 2022 Feb 15;336:130449. doi: 10.1016/j.jclepro.2022.130449.