Howard Springs Flux Data Release 2024_v1
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https://researchdata.edu.au/howard-springs-flux-release-2024v1/2926888
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This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.17) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).
The site is classified as an open woodland savanna. The overstory is co-dominated by tree species Eucalyptus miniata and Eucalyptus tentrodonata, and average tree height is 14-16 m. Elevation of the site is close to 64 m and mean annual precipitation is 1750 mm. Maximum temperatures range from 30.4 °C (in July) to 33.2 °C (in November), while minimum temperatures range from 19.3 °C (in July) to 25.4 °C (in November). Therefore, the maximum and minimum range varies from 7 °C (wet season) to 11 °C (dry season).
The instrument mast is 23 m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.
本数据集发布内容包含采用涡度协方差技术(eddy covariance techniques)获取的地表与大气边界层间能量和物质交换通量塔观测数据。数据按照Isaac等人(2017年)提出的处理规范,使用PyFluxPro(v3.4.17)完成预处理与整合。PyFluxPro可生成经间隙填充的最终数据集,并将生态系统净交换(Net Ecosystem Exchange, NEE)划分为总初级生产力(Gross Primary Productivity, GPP)与生态系统呼吸(Ecosystem Respiration, ER)。
该观测站点被归类为开阔稀树草原林地。林冠上层以细叶桉(Eucalyptus miniata)和Eucalyptus tentrodonata为共建种,平均树高14~16米。站点海拔接近64米,年平均降水量为1750毫米。极端最高气温介于30.4℃(7月)至33.2℃(11月)之间,极端最低气温则介于19.3℃(7月)至25.4℃(11月)之间。由此可见,气温日较差在湿季约为7℃,干季可达11℃。
观测塔塔高23米。采用开路式涡度通量技术测定热量、水汽与二氧化碳通量。冠层上方同步测定气温、相对湿度、风速、风向、降雨量、入射与反射短波辐射及净辐射。土壤热通量通过时域反射仪(time domain reflectometry)测定,同时采集土壤含水率数据。
提供机构:
Terrestrial Ecosystem Research Network



