中国科学数据（中英文网络版）2026，Vol.11Issue(2)：298-306,9.DOI:10.11922/11-6035.nesdc.2025.0115.zh
2017-2022年福建三明站森林生态系统日尺度气象数据集
A dataset of daily meteorological observations at the Fujian Sanming Forest Ecosystem National Observation and Research Station(2017-2022)
摘要
Abstract
Meteorological parameters constitute fundamental data for understanding the multidimensional impacts of ongoing global climate change on both ecological systems and anthropogenic activities.The rigorous quantification and analysis of atmospheric data play a critical role in advancing comprehensive understanding and responding to climate change,as it not only facilitates interdisciplinary research across multiple spatial and temporal scales,but also enables early identification of extreme meteorological events.Furthermore,this rigorous data foundation 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 eastern mid-subtropical Fujian-Zhejiang mountainous evergreen broad-leaved forest zone,the Fujian Sanming 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 subtropical monsoon climatic conditions and enriched with abundant hydrothermal resources,the region provides an exemplary natural laboratory for investigating climate-ecosystem interactions and advancing ecosystem process studies.The dataset comprises atmospheric and soil variables observed at the station from 2017 to 2022,forming a continuous daily time series spanning six years.Recorded metrics encompass daily average 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 China and exhibits 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 models.关键词
气象数据/三明站/中亚热带/森林生态系统Key words
meteorological data/Sanming Station/subtropical zone/forest ecosystem引用本文复制引用
陈紫源,陈仕东,黄锦学,杨智杰,杨玉盛..2017-2022年福建三明站森林生态系统日尺度气象数据集[J].中国科学数据（中英文网络版）,2026,11(2):298-306,9.基金项目
国家自然科学基金(31930071、32271727) （31930071、32271727）
福建三明生态系统国家野外科学观测研究站国家级科技创新平台奖补经费(2023L5012) （2023L5012）
科技基础资源调查专项(2021FY100702).The National Natural Science Foundation of China(31930071 and 32271727) （2021FY100702）
the Subsidy and Award Funds for the National-Level Scientific and Technological Innovation Platform of Fujian Sanming Forest Ecosystem National Observation and Research Station(2023L5012) （2023L5012）
the National Science and Technology Basic Resources Survey Program of China(2021FY100702). （2021FY100702）
