nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2022, 04, v.17 22-28
基于卫星和数值预报产品计算短波辐射
基金项目(Foundation): 浙江省气象科技计划重点项目(2020ZD08); 温州市级科技计划项目(N20210019)
邮箱(Email):
DOI: 10.19687/j.cnki.1673-7105.2022.04.004
发布时间: 2022-12-15
出版时间: 2022-12-15
移动端阅读
摘要:

利用遥感卫星产品和数值预报产品建立短波辐射反演模型的原理,得出模型中各参数的计算方法。通过反演模型计算出浙江省境内3个辐射站各季节1个代表月中10:00—16:00每个整点时刻的短波辐射,并结合3个辐射站的同期短波辐射实测值建立订正模型。运用订正模型和残差修正,计算出浙江省全境2020年10月1日15时的短波辐射。结果表明,利用卫星产品和数值预报产品建立的短波辐射反演模型计算出的结果与实测值具有较好的线性关系,且该关系在同一季节的代表月中在不同站点具有相同的特征。各站通过数据混合建立的各季代表月的订正模型误差较小,可以用于整点短波辐射的计算,为精细化的农业气候资源区划、太阳能评估等提供新的思路。

Abstract:

The principle of short-wave radiation inversion model which based on the remote sensing data and numerical weather forecast products were expatiated systematically, and the calculation method of each parameter in the model was given.By the model, the shortwave radiation at 3 stations in Zhejiang province on every hour from 10:00—16:00 in each typical month of seasons were calculated.Combined with the measured data, corrected model was created.Using the inversion model and corrected model, the shortwave radiation distribution map of Zhejiang at 15:00 on October 1,2020 was generated. These results suggest that there are good linear relationship between the calculations and those of direct measurements. However, the relationship in the same month at different locations has the same or similar characteristics. The correcting model created from the data of different locations in a month will produce the results without much deviation. These can be used for calculating the instantaneous shortwave radiation intensity, which could provide a new approach for agro-meteorological resources regionalization and solar energy assessment.

参考文献

[1]潘永地.起伏地形下日照时间计算模型的修正[J].资源科学,2010,32(8):1493-1498.[PAN Y D.Corrections for sunshine duration models under rugged terrain conditions[J] .Resources Science,2010,32(8):1493-1498.]

[2]付凯,张安兵,王贺封,等.基于MODIS和TRMM数据的京津冀旱情监测研究[J].亚热带资源与环境学报,2022,17(3):33-40.[FU K,ZHANG A B,WANG H F,et al.Study on drought monitoring in Beijing-Tianjin-Hebei region based on MODIS and TRMM data [J],Journal of Subtropical Resources and Environment,2022,17(3):33-40.]

[3]邓艳君,邱新法,曾燕,等.几种水平面太阳总辐射量计算模型的对比分析[J].气象科学,2013,33(4):371-377.[DENG Y J,QIU X F,ZENG Y,et al.Comparison of horizontal global solar radiation models [J].Journal of the Meteorological Sciences,2013,33(4):371-377.]

[4]叶一舫,张养才,潘钟跃.哀牢山区日照时数的遥感信息提取方法[J].中国农业气象,1993(3):39-41.[YE Y F,ZHANG Y C,PAN Z Y.Remote sensing information extraction method of sunshine hours in Ailao Mountain Area[J].Chinese Journal of Agrometeorology,1993(3):39-41.]

[5]施国萍,邱新法,曾燕,等.基于云量影像的日照百分率遥感集成模型[J].遥感学报,2013,17(6):1508-1517.[SHI G P,QIU X F,ZENG Y,et al.Remote sensing integration model of sunshine percentage based on cloud cover images [J].Journal of Remote Sensing,2013,17(6):1508-1517.]

[6]陈鹏翔,彭冬梅,张旭.基于 FY-2G 总云量的日照百分率估算及检验[J].气候变化研究快报,2018,7(5):381-390.[CHEN P X,PENG D M,ZHANG X.Estimated and tested of sunshine percentage based on total cloud amount form FY-2G[J].Climate Change Research Letters,2018,7(5):381-390.]

[7] FAGBENLE R L.Evaluation of sunshine duration from cloud data in Nigeria[J].International Journal of Ambient Energy,2011,13(1):3-10.

[8]蒲肃,陈娜,刘抗,等.基于云图特征量的太阳辐射预报方法[J].甘肃科技,2016,32(3):36-39.[PU S,CHEN N,LIU K,et al.Solar radiation prediction method based on cloud image characteristic quantity[J].Gansu Science and Technology,2016,32(3):36-39.]

[9]彭冬梅,陈鹏翔,张旭.基于卫星遥感的新疆地表太阳总辐射估算[J].干旱气象,2019,37(2):322-330.[PENG D M,CHEN P X,ZHANG X.Estimation of surface solar total radiation in Xinjiang based on satellite remote sensing data [J].Journal of Arid Meteorology,2019,37(2):322-330.]

[10]宋庆利,陈渭民,周学军,等.利用卫星资料研究云对地面净辐射的影响[J].气象,2005(1):29-32.[SONG Q L,CHEN W M,ZHOU X J,et al.A study of effect of cloud on net surface radiation with GMS-5 Data[J].Meteorological Monthly,2005(1):29-32.]

[11]郁云,许昌,曹潇,等.云图纹理分析结合SVM的地表太阳辐射预测[J].西南师范大学学报(自然科学版),2017,42(12):75-81.[ YU Y,XU C,CAO X,et al.On ground solar radiation forecasting combined with textural feature extraction and SVM.computer engineering and applications[J].Journal of Southwest China Normal University(Natural Science Edition),2017,42(12):75-81.]

[12]李净,王丹,冯姣姣.基于MODIS遥感产品和神经网络模拟太阳辐射[J].地理科学,2017,37(6):912-919.[LI J,WANG D,FENG J J.Simulation of solar radiation based on neural network and MODIS remote sensing products[J].Scientia Geographica Sinica,2017,37(6):912-919.]

[13]应王敏,刘晓洁,房世峰,等.基于机器学习的日尺度短波净辐射气候资源遥感反演研究[J].资源科学,2020,42(10):1998-2009.[YING W M,LIU X J,FANG S F,et al.Retrieval of daily net surface shortwave radiation climatic resources based on machine learning[J].Resources Science,2020,42(10):1998-2009.]

[14]WANG H Q,LI S M.Estimating of sunshine percentage using the cloud classification data from FY2C[J].Journal of Remote Sensing,2013,17(5):1295-1310.

[15]OLSETH J A,SKARTVEIT A.Solar irradiance,sunshine duration and daylight illuminance derived from METEOSAT data from some European sites[J].Theoretical and Applied Climatology,2001,69(3/4):239-252.

[16]LI L,XIN X Z,ZHANG H L,et al.A method for estimating hourly photosynthetically active radiation (PAR) in China by combining geostationary and polar-orbiting satellite data[J].Remote Sensing of Environment,2015,165:14-26.

[17]PLATNICKS F,JUAN M.Model calculations of solar spectral irradiance in the 3.7-μm band for earth remote sensing applications[J].Journal of Applied Meteorology and Climatology,2008,47(1):124-134.

[18] TANG W J,QIN J,YANG K,et al.An efficient algorithm for calculating photosynthetically active radiation with MODIS products[J].Remote Sensing of Environment,2017,194(5):146-154.

[19] POTTER C S,RANDERSON J T,FIELD C B,et al.Terrestrial ecosystem production:A process model based on global satellite and surface data[J].Global Biogeochemical Cycles,1993,7(4):811-841.

[20]CHOU M D,SUAREZ M J.A solar radiation parameterization (CLIRAD-SW) for atmospheric studies[J].NASA Technical Report Series on Global Modeling and Data Assimilation,1999,15:19-20.

[21] QIN J,YANG K,LIANG S L,et al.Estimation of daily mean photosynthetically active radiation under all-sky conditions based on relative sunshine data[J].Journal of Applied Meteorology and Climatology,2012,51(1):150-160.

[22]吴晓,游然,王旻燕,等.基于MODIS云宏微观特性的卫星云分类方法[J].应用气象学报,2016,27(2):201-208.[ WU X,YOU R,WANG M Y,et al.Cloud type identification based on macro and micro properties of clouds from MODIS[J].Journal of Applied Meteorological Science,2016,27(2):201-208.]

[23] SUN Z,LIU J,ZENG X,et al.Parameterization of instantaneous global horizontal irradiance:Cloudy-sky component[J].Journal of Geophysical Research:Atmospheres,2012,117:1-10.

[24]陈冬冬,赵静,王柏林,等.FY-2F卫星和毫米波云雷达云高观测的个例对比分析[J].气象科技,2019,47(3):495-501.[ CHEN D D,ZHAO J,WANG B L,et al.Comparison of cloud top height observation between FY-2F satellite and millimeter-wave cloud radar[J].Meteorological Science and Technology,2019,47(3):495-501.]

基本信息:

DOI:10.19687/j.cnki.1673-7105.2022.04.004

中图分类号:P456.7;P407

引用信息:

[1]潘永地,潘彦华,王金瑞,等.基于卫星和数值预报产品计算短波辐射[J].亚热带资源与环境学报,2022,17(04):22-28.DOI:10.19687/j.cnki.1673-7105.2022.04.004.

基金信息:

浙江省气象科技计划重点项目(2020ZD08); 温州市级科技计划项目(N20210019)

发布时间:

2022-12-15

出版时间:

2022-12-15

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文