泰国热带环境中不同气溶胶、可降水量和云条件下Himawari遥感观测的近实时光合有效辐射首次评估

IF 5.7 1区 农林科学 Q1 AGRONOMY
Worapan Kanchanachat, Serm Janjai, Rungrat Wattan
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引用次数: 0

摘要

本研究首次全面评估了泰国复杂热带环境中来自Himawari卫星产品(PARHimawari)的近实时光合有效辐射(PAR),该环境以可变气溶胶浓度、可降水水蒸气和云运动为特征。2018年至2022年,在三个地区(清迈、那空梧州和宋卡)的地面EKO量子传感器测量(PAREKO)中验证了2.0级质量保证的PARHimawari数据。结果显示PARHimawari和PAREKO之间有很强的线性相关性(R²> 0.7)。然而,估计的规模仍然不确定。清迈的Nash-Sutcliffe方程(NSE)为负(-1.10),表明估计性能较差,而呵叻和宋卡的NSE值分别为0.29和0.50。相对均方根误差(rRMSE)在33.15% ~ 64.32%之间,相对平均偏差(rMBE)在23.82% ~ 55.09%之间,表明卫星产品存在系统性高估。进一步分析证实PARHimawari残差随气溶胶光学深度(AOD)和可降水量的增加而增加。云光学厚度(COT)残差中值在晴空条件下为正,在中天条件下接近于零,在阴天条件下为负。总的来说,PARHimawari在提供高PAR值时显示出更高的误差,强调需要改进气溶胶和湿度校正,以增强热带环境中用于生态和农业应用的卫星PAR检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First evaluation of near-real-time photosynthetically active radiation from Himawari remote sensing observations under different aerosol, precipitable water, and cloud conditions in the tropical environment of Thailand
This study presents the first comprehensive assessment of near-real-time photosynthetically active radiation (PAR) derived from Himawari satellite products (PARHimawari) in the complex tropical environment of Thailand, which is characterized by variable aerosol concentration, precipitable water vapor, and cloud movement. Level 2.0 quality-assured PARHimawari data were validated against ground-based EKO quantum sensor measurements (PAREKO) at three regions (Chiang Mai, Nakhon Pathom, and Songkhla) from 2018 to 2022. Results show strong linear correlations between PARHimawari and PAREKO (R² > 0.7). However, the magnitude of estimates remains uncertain. The Nash-Sutcliffe equation (NSE) was negative at Chiang Mai (-1.10), indicating poor estimation performance, while moderate NSE values of 0.29 and 0.50 were found at Nakhon Pathom and Songkhla, respectively. The relative root mean square error (rRMSE) ranged from 33.15 % to 64.32 %, and the relative mean bias error (rMBE) ranged from 23.82 % to 55.09 %, suggesting systematic overestimation by the satellite product. Further analysis confirmed that PARHimawari residuals increase with aerosol optical depth (AOD) and precipitable water vapor. For cloud optical thickness (COT), residuals median values were positive under clear-sky conditions, approached zero under intermediate sky conditions, and shifted negative under overcast conditions. Overall, PARHimawari shows higher errors when providing high PAR values, underscoring the need for improved aerosol and moisture corrections to enhance satellite PAR retrievals in tropical environments for ecological and agricultural applications.
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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