2026-10-14T16:31:26Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.01525 2025-10-23T16:32:41Z

2025-10-23 The daily meteorological dataset of Fujian Sanming Forest Ecosystem National Observation and Research Station from 2017 to 2022 doi:10.57760/sciencedb.j00001.01525 en Meteorological parameters constitute essential empirical evidence for assessing the multidimensional impacts of ongoing global climate change on both ecological systems and anthropogenic activities. The rigorous quantification of atmospheric data assumes paramount importance in advancing comprehensive understanding and developing effective mitigation measures, as it not only facilitates interdisciplinary research across temporal scale, but also enables early identification of extreme meteorological events. Furthermore, this rigorous data framework provides critical evidentiary support for the development of science-informed climate resilience policies, ensuring that strategies to address climate challenges are rooted in robust empirical analysis. Situated within the ecologically significant subtropical eastern Fujian-Zhejiang mountainous evergreen broad-leaved forest zone, the Fujian Sanmaning Forest Ecosystem National Observation and Research Station occupies a strategically important position for environmental scientific research. This area demonstrates exceptional carbon sequestration potential, positioning it as a critical asset in addressing national strategic objectives for ecological civilization development and carbon neutrality initiatives. Characterized by pronounced mid-subtropical monsoon climate patterns and enriched with abundant hydrothermal resources, the region provides an exemplary natural laboratory for investigating climate-biosphere interactions and advancing ecosystem process studies. The dataset comprises two principal constituents: atmospheric parameters and soil variables. Recorded metrics encompass average daily air temperature, atmospheric precipitation, atmospheric pressure, photosynthetically active radiation, relative humidity, surface temperature, soil temperature, and soil volumetric moisture content. These parameters have undergone rigorous standardized quality control procedures, resulting in a continuous temporal sequence spanning the observation period. This repository significantly enhances the meteorological data repository for mid-subtropical regions, exhibiting substantial applicability and extensibility potential for multidisciplinary research domains such as localized ecological process modeling, regional ecosystem pattern analysis, and validation of global climate change simulations. meteorological data; Sanming Station; subtropical zone; forest ecosystem chen zi yuan Chen Shidong Huang Jinxue Yang Zhijie Yang Yusheng PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset http://www.doi.org/10.11922/11-6035.nesdc.2025.0115.zh Science Data Bank