Impact of Air Temperature Inversion on the Clear-Sky Surface Downward Longwave Radiation Estimation

Parameterization schemes for estimating clear-sky surface downward longwave radiation (SDLR) are well recognized for their simplicity and acceptable accuracy, especially at the local scale. The near-surface temperature and/or water vapor are usually used to predict the clear-sky SDLR in a parameterization scheme. Air temperature inversion (ATI) alters the atmospheric state at the near-surface boundary layer and affects the accuracy of the clear-sky SDLR estimation. However, few studies have investigated the impact of ATI on the estimate of the clear-sky SDLR. This article investigated the impact of ATI on the estimate of the clear-sky SDLR using six widely used parameterization schemes. According to the evaluation results using ATI profiles from the Thermodynamic Initial Guess Retrieval (TIGR) database and the Surface Radiation Budget Network (SURFRAD) sites, all the parameterization schemes are sensitive to ATI, and their accuracy is degraded greatly as a whole. The SDLR is underestimated for the ATI profile both in the TIGR database and SURFRAD sites. The best three schemes can achieve the accuracy with bias values of approximately −10 W/m2 and root-mean-square errors (RMSEs) less than 20 W/m2 for the ATI profiles in the TIGR database. The reason the SDLR is underestimated for the ATI profiles is provided by a simulation study. An empirical method is proposed to correct the impact of ATI. The accuracy of all the parameterization schemes is remarkably improved at SURFRAD sites after correcting the impact of ATI, with the absolute values of bias and RMSEs less than 10 and 20 W/m2 at SURFRAD sites.

[1]  Peter Schlüssel,et al.  Validation of the operational IASI level 2 processor using AIRS and ECMWF data , 2006 .

[2]  Jie Cheng,et al.  Using Very High Resolution Thermal Infrared Imagery for More Accurate Determination of the Impact of Land Cover Differences on Evapotranspiration in an Irrigated Agricultural Area , 2019, Remote. Sens..

[3]  Xiaotong Zhang,et al.  Estimation of clear‐sky land surface longwave radiation from MODIS data products by merging multiple models , 2012 .

[4]  S. Hudson,et al.  A Look at the Surface-Based Temperature Inversion on the Antarctic Plateau , 2005 .

[5]  Yan Zhan-jiang.  Temperature inversion characteristics of low-air atmosphere of Urumqi City , 2007 .

[6]  A. Chedin,et al.  The Improved Initialization Inversion Method: A High Resolution Physical Method for Temperature Retrievals from Satellites of the TIROS-N Series. , 1985 .

[7]  Facundo Carmona,et al.  Estimation of daytime downward longwave radiation under clear and cloudy skies conditions over a sub-humid region , 2013, Theoretical and Applied Climatology.

[8]  Yamin Guo,et al.  A Comparative Study of Bulk Parameterization Schemes for Estimating Cloudy-Sky Surface Downward Longwave Radiation , 2019, Remote. Sens..

[9]  J. Lagouarde,et al.  Atmospheric boundary-layer turbulence induced surface temperature fluctuations. Implications for TIR remote sensing measurements , 2013 .

[10]  A. Prata.  A new long‐wave formula for estimating downward clear‐sky radiation at the surface , 1996 .

[11]  S. Idso.  A set of equations for full spectrum and 8- to 14-μm and 10.5- to 12.5-μm thermal radiation from cloudless skies , 1981 .

[12]  Jeff Dozier,et al.  A generalized split-window algorithm for retrieving land-surface temperature from space , 1996, IEEE Trans. Geosci. Remote. Sens..

[13]  J. Sobrino,et al.  A generalized single‐channel method for retrieving land surface temperature from remote sensing data , 2003 .

[14]  Xiaotong Zhang,et al.  Review on Estimation of Land Surface Radiation and Energy Budgets From Ground Measurement, Remote Sensing and Model Simulations , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[15]  C. Long,et al.  SURFRAD—A National Surface Radiation Budget Network for Atmospheric Research , 2000 .

[16]  Bruce R. Barkstrom,et al.  The Earth Radiation Budget Experiment (ERBE). , 1984 .

[17]  Yamin Guo,et al.  Comprehensive assessment of parameterization methods for estimating clear-sky surface downward longwave radiation , 2019, Theoretical and Applied Climatology.

[18]  Zhao-Liang Li,et al.  Generalized Split-Window Algorithm for Estimate of Land Surface Temperature from Chinese Geostationary FengYun Meteorological Satellite (FY-2C) Data , 2008, Sensors.

[19]  Johannes Schmetz,et al.  Towards a surface radiation climatology: retrieval of downward irradiances from satellites , 1989 .

[20]  A. C. Dilley,et al.  Estimating downward clear sky long‐wave irradiance at the surface from screen temperature and precipitable water , 1998 .

[21]  Shashi Kumar Gupta,et al.  A parameterization for longwave surface radiation from sun-synchronous satellite data , 1989 .

[22]  James A. Gardner,et al.  MODTRAN5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options , 2004, SPIE Asia-Pacific Remote Sensing.

[23]  Robert G. Ellingson,et al.  Development of a Nonlinear Statistical Method for Estimating the Downward Longwave Radiation at the Surface from Satellite Observations , 2002 .

[24]  W. Swinbank.  Long‐wave radiation from clear skies , 1963 .

[25]  Alain Chedin,et al.  A Neural Network Approach for a Fast and Accurate Computation of a Longwave Radiative Budget , 1998 .

[26]  W. Paul Menzel,et al.  Operational retrieval of atmospheric temperature, moisture, and ozone from MODIS infrared radiances , 2003 .

[27]  Bo-Hui Tang,et al.  Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data , 2008 .

[28]  Paul E. Lewis,et al.  MODTRAN 5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options: update , 2005 .

[29]  W. Brutsaert.  On a derivable formula for long-wave radiation from clear skies , 1975 .

[30]  D. Brunt.  Notes on radiation in the atmosphere. I , 2007 .

[31]  Jindi Wang,et al.  A Stepwise Refining Algorithm of Temperature and Emissivity Separation for Hyperspectral Thermal Infrared Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[32]  Bo-Hui Tang,et al.  Estimation of Land Surface Temperature From MODIS Data for the Atmosphere With Air Temperature Inversion Profile , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[33]  Qiang Liu,et al.  Estimating clear-sky land surface longwave upwelling radiation from MODIS data using a hybrid method , 2016 .

[34]  Peter J. Minnett,et al.  A numerical study of the effects of anomalous North Atlantic atmospheric conditions on the infrared measurement of sea surface temperature from space , 1986 .

[35]  William P. Kustas,et al.  Assessment of clear and cloudy sky parameterizations for daily downwelling longwave radiation over different land surfaces in Florida, USA , 2008 .

[36]  J. H. Shaw,et al.  Thermal Radiation from the Atmosphere , 1956 .

[37]  Shunlin Liang,et al.  Surface Downward Longwave Radiation , 2018 .