Chlorophyll-a concentrations estimated from particulate absorption coefficients and collocated particulate beam-attenuation coefficients between 620 and 710 nm.
收藏资源简介：
This dataset was produced using measurements extracted from the NASA SeaBASS database and collected during three Atlantic Meridional Transect cruises (https://www.amt-uk.org/) and it is described in more details in Graban et al., (2020). The dataset consists of chlorophyll-a concentrations estimated from particulate absorption coefficients (chl-ACS) using the line-height method (Boss et al., 2007) and de-biased using HPLC Total Chlorophyll data (chl-HPLC) as described in Graban et al (2020). The dataset also contains the latitude, longitude, UTC timestamp and the name of the research expeditions during which each point was collected. Finally, the dataset contains the collocated particulate beam-attenuation coefficients at 620 nm to 710 nm interpolated every 2 nm that were used in Graban et al. (2020). To allow the user to assess the accuracy of the chl-ACS data before debiasing, for each cruise separately we also provide plots of the comparison between line height (L=chl-ACS*0.014, see Eq 1 in the paper) and chl-HPLC, parameters and their 95% confidence intervals of the fit to the equation chl-HPLC = a*L^b, plots, median biases (\delta) and robust standard deviations (\sigma) of the relative residuals (i.e., chl-ACS/chl-HPLC-1), as well as the total number of points (N) used in the comparison.<br> <br> References<br> <br> E. S. Boss, R. Collier, G. Larson, K. Fennel, and W. S. Pegau, “Measurements of spectral optical properties and their relation to biogeochemical variables and processes in Crater Lake, Crater Lake National Park, OR,” Hydrobiologia574, 149–159 (2007)." S. Graban, G. Dall'Olmo, S. Goult, and R. Sauzède (2020) "Accurate deep-learning estimation of chlorophyll-a concentration from the spectral particulate beam-attenuation coefficient" Optics Express, https://doi.org/10.1364/OE.397863
本数据集基于提取自NASA SeaBASS数据库的测量数据构建，数据采集自三次大西洋子午断面航次（Atlantic Meridional Transect，AMT，官网：https://www.amt-uk.org/），详细说明可见Graban等人2020年的研究成果。 本数据集包含通过线高度法（Boss等，2007）由颗粒物吸收系数估算得到的叶绿素a浓度（chl-ACS），并按照Graban等（2020）所述方法，使用高效液相色谱（HPLC）测得的总叶绿素数据（chl-HPLC）完成了偏差校正。 此外，数据集还包含各采样点的纬度、经度、UTC时间戳，以及对应科考航次的名称。 最后，数据集还包含与各采样点匹配的620 nm至710 nm波段颗粒物光束衰减系数，该数据以2 nm为间隔进行插值处理，曾用于Graban等（2020）的研究中。 为便于用户评估偏差校正前chl-ACS数据的准确性，我们针对每个航次单独提供了以下内容：线高度法估算值（L=chl-ACS×0.014，详见论文中式1）与chl-HPLC的对比图、拟合方程chl-HPLC = a·L^b的参数及其95%置信区间、相对残差（即chl-ACS/chl-HPLC -1）的中位偏差(δ)和稳健标准差(σ)，以及用于对比的总采样点数(N)。 参考文献 [1] E. S. Boss、R. Collier、G. Larson、K. Fennel及W. S. Pegau，“美国俄勒冈州火山口湖国家公园火山口湖的光谱光学特性测量及其与生物地球化学变量和过程的关联”，《Hydrobiologia》，第574卷，149–159页（2007年）。 [2] S. Graban、G. Dall'Olmo、S. Goult及R. Sauzède（2020），“基于光谱颗粒物光束衰减系数的叶绿素a浓度高精度深度学习估算”，《Optics Express》，https://doi.org/10.1364/OE.397863
