利用山地小气候模拟模式估算日本短波太阳辐射的评价

IF 1.4 4区 农林科学 Q2 AGRICULTURE, MULTIDISCIPLINARY Journal of Agricultural Meteorology Pub Date : 2020-01-01 DOI:10.2480/agrmet.d-19-00046
A. Hirata, Y. Kominami, T. Matsui, Y. Hijioka
{"title":"利用山地小气候模拟模式估算日本短波太阳辐射的评价","authors":"A. Hirata, Y. Kominami, T. Matsui, Y. Hijioka","doi":"10.2480/agrmet.d-19-00046","DOIUrl":null,"url":null,"abstract":"Solar radiation is an essential parameter for ecological, agricultural, and other models. However, the availability of large-scale radiation data is usually limited. The Mountain Microclimate Simulation Model ( MTCLIM ) can resolve such data insufficiency by estimating missing daily shortwave solar radiation data using simple climatological and topographic parameters. Several studies have found the performance of the MTCLIM to be sufficient for the estimation of solar radiation. However, its performance in the East Asian monsoon zone, which is generally characterized by warm wet summers and cold dry winters, has not been thoroughly evaluated. We assessed the performance of the MTCLIM in Japan located at the East Asian monsoon zone. We estimated daily shortwave solar radiation using daily maximum and minimum temperature and precipitation data recorded over 57 years and topographic parameters including slope angle and direction at 41 meteorological stations. Then, we compared the estimated solar radiation with the solar radiation observed at each meteorological station using a simple linear regression equation. The slope of the regression equation without intercept was 0.96 and the coefficient of determination ( R 2 ) was 0.61 for all data. The estimation performance was increased for the monthly mean of daily solar radiation ( slope=1.03; R 2 =0.93 ) . The degree of estimation error showed geographical and seasonal trends; stations located at higher latitudes had larger slopes than those at lower latitudes. The bias was largest ( positive ) in spring and smallest ( negative ) in summer. This study confirmed that the MTCLIM performed sufficiently well to estimate solar radiation in Japan. In particular, the model’s high performance for the monthly mean of daily solar radiation suggests that it provides estimates of solar radiation that are sufficiently accurate for ecological, agricultural, and other models in which values of average solar radiation for a given period of time are more meaningful than instantaneous daily solar radiation.","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the estimation of shortwave solar radiation in Japan using the Mountain Microclimate Simulation Model\",\"authors\":\"A. Hirata, Y. Kominami, T. Matsui, Y. Hijioka\",\"doi\":\"10.2480/agrmet.d-19-00046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Solar radiation is an essential parameter for ecological, agricultural, and other models. However, the availability of large-scale radiation data is usually limited. The Mountain Microclimate Simulation Model ( MTCLIM ) can resolve such data insufficiency by estimating missing daily shortwave solar radiation data using simple climatological and topographic parameters. Several studies have found the performance of the MTCLIM to be sufficient for the estimation of solar radiation. However, its performance in the East Asian monsoon zone, which is generally characterized by warm wet summers and cold dry winters, has not been thoroughly evaluated. We assessed the performance of the MTCLIM in Japan located at the East Asian monsoon zone. We estimated daily shortwave solar radiation using daily maximum and minimum temperature and precipitation data recorded over 57 years and topographic parameters including slope angle and direction at 41 meteorological stations. Then, we compared the estimated solar radiation with the solar radiation observed at each meteorological station using a simple linear regression equation. The slope of the regression equation without intercept was 0.96 and the coefficient of determination ( R 2 ) was 0.61 for all data. The estimation performance was increased for the monthly mean of daily solar radiation ( slope=1.03; R 2 =0.93 ) . The degree of estimation error showed geographical and seasonal trends; stations located at higher latitudes had larger slopes than those at lower latitudes. The bias was largest ( positive ) in spring and smallest ( negative ) in summer. This study confirmed that the MTCLIM performed sufficiently well to estimate solar radiation in Japan. In particular, the model’s high performance for the monthly mean of daily solar radiation suggests that it provides estimates of solar radiation that are sufficiently accurate for ecological, agricultural, and other models in which values of average solar radiation for a given period of time are more meaningful than instantaneous daily solar radiation.\",\"PeriodicalId\":56074,\"journal\":{\"name\":\"Journal of Agricultural Meteorology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agricultural Meteorology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.2480/agrmet.d-19-00046\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Meteorology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.2480/agrmet.d-19-00046","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

太阳辐射是生态、农业和其他模型的重要参数。然而,大尺度辐射数据的可用性通常是有限的。山地小气候模拟模式(MTCLIM)可以利用简单的气候和地形参数估算缺失的日短波太阳辐射数据,从而解决这一数据不足的问题。几项研究发现MTCLIM的性能足以估计太阳辐射。然而,它在东亚季风区的表现,通常是夏季温暖潮湿和冬季寒冷干燥的特征,尚未得到充分的评价。我们评估了位于东亚季风区的日本MTCLIM的性能。我们利用过去57年的日最高、最低气温和降水资料,以及41个气象站的地形参数,包括坡度和方向,估算出日短波太阳辐射。然后,利用简单的线性回归方程将估算的太阳辐射与各气象站观测到的太阳辐射进行比较。无截距回归方程斜率为0.96,决定系数(r2)为0.61。日太阳辐射月平均值(斜率=1.03;r2 =0.93)。估计误差程度呈现地理和季节趋势;高纬度站点的坡度大于低纬度站点。偏倚在春季最大(正),夏季最小(负)。这项研究证实MTCLIM在估算日本的太阳辐射方面表现得足够好。特别是,该模式对日太阳辐射月平均值的高性能表明,它提供的太阳辐射估计对于生态、农业和其他模式来说足够准确,在这些模式中,给定时间段的平均太阳辐射值比瞬时日太阳辐射值更有意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Evaluation of the estimation of shortwave solar radiation in Japan using the Mountain Microclimate Simulation Model
Solar radiation is an essential parameter for ecological, agricultural, and other models. However, the availability of large-scale radiation data is usually limited. The Mountain Microclimate Simulation Model ( MTCLIM ) can resolve such data insufficiency by estimating missing daily shortwave solar radiation data using simple climatological and topographic parameters. Several studies have found the performance of the MTCLIM to be sufficient for the estimation of solar radiation. However, its performance in the East Asian monsoon zone, which is generally characterized by warm wet summers and cold dry winters, has not been thoroughly evaluated. We assessed the performance of the MTCLIM in Japan located at the East Asian monsoon zone. We estimated daily shortwave solar radiation using daily maximum and minimum temperature and precipitation data recorded over 57 years and topographic parameters including slope angle and direction at 41 meteorological stations. Then, we compared the estimated solar radiation with the solar radiation observed at each meteorological station using a simple linear regression equation. The slope of the regression equation without intercept was 0.96 and the coefficient of determination ( R 2 ) was 0.61 for all data. The estimation performance was increased for the monthly mean of daily solar radiation ( slope=1.03; R 2 =0.93 ) . The degree of estimation error showed geographical and seasonal trends; stations located at higher latitudes had larger slopes than those at lower latitudes. The bias was largest ( positive ) in spring and smallest ( negative ) in summer. This study confirmed that the MTCLIM performed sufficiently well to estimate solar radiation in Japan. In particular, the model’s high performance for the monthly mean of daily solar radiation suggests that it provides estimates of solar radiation that are sufficiently accurate for ecological, agricultural, and other models in which values of average solar radiation for a given period of time are more meaningful than instantaneous daily solar radiation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Agricultural Meteorology
Journal of Agricultural Meteorology AGRICULTURE, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
2.70
自引率
7.70%
发文量
18
期刊介绍: For over 70 years, the Journal of Agricultural Meteorology has published original papers and review articles on the science of physical and biological processes in natural and managed ecosystems. Published topics include, but are not limited to, weather disasters, local climate, micrometeorology, climate change, soil environment, plant phenology, plant response to environmental change, crop growth and yield prediction, instrumentation, and environmental control across a wide range of managed ecosystems, from open fields to greenhouses and plant factories.
期刊最新文献
Climate-induced risk assessment of future rice production value in the Tohoku and Kyushu regions, Japan Assessing the expansion of suitable locations for avocado cultivation due to climate change in Japan and its suitability as a substitute for satsuma mandarins Revealing the spatial characteristics of rice heat exposure in Japan through panicle temperature analysis Experimental study on cold tolerance thresholds in field grown subtropical fruit trees Impact of the 2015 El Niño event on Borneo: Detection of drought damage using solar-induced chlorophyll fluorescence
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1