基于ABPM模型的全球海洋初级生产力遥感监测9km分辨率月度数据集（2003-2012）

研究海洋初级生产力，对于理解全球生态系统健康状况、生物化学循环和气候变化具有重要意义。笔者于2014年发表了用于海洋初级生产力遥感监测的ABPM模型，该模型利用MODIS卫星2003-2012年月度产品数据中的浮游植物吸收系数，真光层深度，490nm漫衰减系数和光合有效辐射4类产品数据和2009年世界海洋地图集中的氮浓度剖面观测数据，计算出全球海洋初级生产力遥感监测数据集。数据集包括了近10年以来共120个月的全球海洋初级生产力9km分辨率月度空间分布数据。为了检验定量反演的精度，本文应用海表三个固定站点和三条海上走航的实测数据对数据集结果进行验证。三个固定站点包括美国夏威夷海洋站点、大西洋百慕大群岛站点和美国加利福尼亚站点；三条海上走航数据包括地中海海域走航（DYFAMED）、南极斯科舍海域走航（AMLR）和南极帕尔默站海域走航（WAP）数据。验证结果表明，用ABPM模型计算得到的全球海洋初级生产力遥感监测数据具有比其他模型计算所得的数据精度较高。由于该数据反映了全球海表碳循环过程中海洋生物固碳量的时空变化特征，因此，可为全球碳循环、气候变化和生物资源潜在生产力研究提供基础性的参考数据。

Research on marine primary productivity (MPP) is of great significance for understanding the health status of global ecosystems, biogeochemical cycles, and climate change. In 2014, the author published the ABPM model for remote sensing monitoring of marine primary productivity. This model utilizes four types of products from MODIS satellite monthly datasets spanning 2003 to 2012, namely phytoplankton absorption coefficient, euphotic zone depth, diffuse attenuation coefficient at 490 nm, and photosynthetically active radiation, as well as observed nitrogen concentration profile data from the 2009 World Ocean Atlas, to generate the global MPP remote sensing monitoring dataset. The dataset includes monthly spatial distribution data of global MPP at 9 km resolution for a total of 120 months over the past decade. To verify the accuracy of the quantitative inversion, this study used in-situ data from three fixed sea surface stations and three shipboard transects to validate the dataset results. The three fixed stations are the Hawaii Ocean Station (USA), the Bermuda Islands Station in the Atlantic Ocean, and the California Station (USA); the three shipboard transect datasets are the Mediterranean Sea transect (DYFAMED), the Antarctic Scotia Sea transect (AMLR), and the Antarctic Palmer Station transect (WAP). The validation results show that the global MPP remote sensing monitoring data calculated by the ABPM model has higher accuracy than data derived from other models. As this dataset reflects the spatiotemporal variation characteristics of marine biological carbon sequestration in the global surface ocean carbon cycle, it can provide fundamental reference data for research on global carbon cycles, climate change, and the potential productivity of biological resources.

搜集汇总

背景与挑战

背景概述

该数据集提供了2003-2012年间全球海洋初级生产力的月度空间分布数据，分辨率为9km，基于ABPM模型生成并通过多源数据验证，适用于全球碳循环、气候变化和生物资源潜力研究。