Assessment of atmospheric emissivity models for clear-sky conditions with reanalysis data

被引:0
作者
Luis Morales-Salinas
Samuel Ortega-Farias
Camilo Riveros-Burgos
José L. Chávez
Sufen Wang
Fei Tian
Marcos Carrasco-Benavides
José Neira-Román
Rafael López-Olivari
Guillermo Fuentes-Jaque
机构
[1] University of Chile,Laboratory for Research in Environmental Sciences (LARES), Faculty of Agricultural Sciences
[2] Universidad de Talca,Research and Extension Center for Irrigation and Agroclimatology (CITRA), Faculty of Agricultural Sciences
[3] Universidad de Tarapacá,Departamento de Producción Agrícola, Facultad de Ciencias Agronómicas
[4] Universidad de O’Higgins,Institute of Agri
[5] Colorado State University,Food, Animal and Environmental Sciences (ICA3)
[6] China Agricultural University,Civil & Environmental Engineering Department
[7] Universidad Católica del Maule,Center for Agricultural Water Research in China
[8] Instituto de Investigaciones Agropecuarias,Department of Agricultural Sciences
[9] INIA Carillanca,Master in Territorial Management of Natural Resources, Postgraduate School, Faculty of Agricultural Sciences
[10] University of Chile,undefined
来源
Scientific Reports | / 13卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Atmospheric longwave downward radiation (Ld) is one of the significant components of net radiation (Rn), and it drives several essential ecosystem processes. Ld can be estimated with simple empirical methods using atmospheric emissivity (εa) submodels. In this study, eight global models for εa were evaluated, and the best-performing model was calibrated on a global scale using a parametric instability analysis approach. The climatic data were obtained from a dynamically consistent scale resolution of basic atmospheric quantities and computed parameters known as NCEP/NCAR reanalysis (NNR) data. The performance model was evaluated with monthly average values from the NNR data. The Brutsaert equation demonstrated the best performance, and then it was calibrated. The seasonal global trend of the Brutsaert equation calibrated coefficient ranged between 1.2 and 1.4, and the K-means analysis identified five homogeneous zones (clusters) with similar behavior. Finally, the calibrated Brutsaert equation improved the Rn estimation, with an error reduction, at the worldwide scale, of 64%. Meanwhile, the error reduction for each cluster ranged from 18 to 77%. Hence, Brutsaert’s equation coefficient should not be considered a constant value for use in εa estimation, nor in time or location.
引用
收藏
相关论文
共 172 条
[1]  
Flerchinger GN(2009)Comparison of algorithms for incoming atmospheric long-wave radiation Water Resour. Res. 45 1-14
[2]  
Xaio W(1969)Thermal radiation from the atmosphere J. Geophys. Res. 74 5397-5403
[3]  
Marks D(2012)Calculating downward longwave radiation under clear and cloudy conditions over a tropical lowland forest site: An evaluation of model schemes for hourly data Theor. Appl. Climatol. 107 461-477
[4]  
Sauer TJ(2006)Assessing daytime downward longwave radiation estimates for clear and cloudy skies in Southern Brazil Agric. For. Meteorol. 139 171-181
[5]  
Yu Q(2008)Assessment of clear and cloudy sky parameterizations for daily downwelling longwave radiation over different land surfaces in Florida, USA Geophys. Res. Lett. 6 44-51
[6]  
Idso SB(1999)Emisividad infrarroja de la atmosfera medida en Heredia, Costa Rica Top. Meteor. Ocean 124 1391-1401
[7]  
Jackson RD(1998)Estimating downward clear sky long-wave irradiance at the surface from screen temperature and precipitable water Q. J. R. Meteorol. Soc. 39 440-447
[8]  
Marthews TR(1982)On the differences in Ablation seasons of Arctic and Antarctic Sea Ice J. Atmos. Sci. 17 295-304
[9]  
Malhi Y(1981)A set of equations for full spectrum and 8- to 14-μm and 10.5- to 12.5-μm thermal radiation from cloudless skies Water Resour. Res. 89 339-348
[10]  
Iwata H(1963)Long-wave radiation from clear skies Q. J. R. Meteorol. Soc. 58 389-420