American Journal of Remote Sensing

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Application of Remotely Sensed Data in the Estimation of Net Radiation at the Earth’s Surface in Clear Sky Conditions

Received: Feb. 07, 2018    Accepted: Feb. 25, 2018    Published: Mar. 20, 2018
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Abstract

This study focuses on the estimation of shortwave and longwave radiation utilizing measured data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the National Aeronautic and Space Administration (NASA’s) Terra / Aqua satellites in clear sky conditions. The net radiation is the vector sum of the shortwave and longwave radiation coming towards and going away from the Earth’s surface. The study is carried out for a tropical site Kaiga, located in Southern India for the months of March and April representative of the warm season and the months of November and December representative of the cold season in the year 2013. The validity of the net radiation values estimated from MODIS data is assessed by comparing it with simultaneous ground based measurements from the Mini Boundary Layer Masts (MBLMs). The results indicate that the net radiation values estimated by the satellite are well correlated with the ground based measurements (R2 = 0.983). On an average, for the four months of study, the mean absolute error between the satellite and ground based measurements is 35 W m-2 where as the RMSE is 50 W m-2. Once validated with ground based measurements, the satellite derived net radiation data can be used for validation of land surface energy balance predicted by atmospheric models.

DOI 10.11648/j.ajrs.20180601.14
Published in American Journal of Remote Sensing ( Volume 6, Issue 1, June 2018 )
Page(s) 23-28
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

MODIS, MBLM, Net Radiation

References
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[2] Cai G, Xue Y, Hu Y, Guo Y, Wang Y and Qi S (2007). Quantitative study of net radiation from MODIS data in the lower boundary layer in Poyang lake area of Jiangxi Province, China. International Journal of Remote Sensing, 28 (19):4381–4389.
[3] Ellingson RG (1995). Surface longwave fluxes from satellite observations: A critical review. Remote Sensing of Environment, 51:89–97.
[4] Hurley PJ (2000). Verification of TAPM meteorological predictions in the Melbourne region for a winter and summer month. Australian Meteorological Magazine, 49:97–107.
[5] Hurtado E and Sobrino JA (2010). Daily net radiation estimated from air temperature and NOAA - AVHRR data: A case study for Iberian Peninsula. International Journal of Remote Sensing, 22 (8):1521 - 1533.
[6] Inamdar AK and Guillevic PC (2015). Net Surface Shortwave Radiation from GOES Imagery—Product Evaluation Using Ground-Based Measurements from SURFRAD. Remote Sensing, 7, 10788 - 10814; doi:10.3390/rs70810788.
[7] Luhar AK, Hurley PJ (2004). Application of a prognostic model TAPM to sea breeze flows, surface concentrations and fumigating plumes. Environmental Modeling and Software, 19:591–601.
[8] Niemela S, Raisanen P and Savijarvi H (2001). Comparison of surface radiative flux parameterizations Part I. Longwave radiation. Atmospheric Research, 58:1–18.
[9] Niemela S, Raisanen P and Savijarvi H (2001). Comparison of surface radiative flux parameterizations Part II. Shortwave radiation. Atmospheric Research, 58:141–154.
[10] Pinker RT, Frouin R and Li Z (1995). A review of satellite methods to derive surface shortwave irradiance. Remote Sensing of Environment, 51:108–124.
[11] Ryu Y, Kang S, Moon S, Kim J (2008). Evaluation of land surface radiation balance derived from moderate resolution imaging Spectroradiometer (MODIS) over complex terrain and heterogeneous landscape on clear sky days. Agricultural and Forest Meteorology, 148:1538–1552.
[12] Stensrud DJ (2007). Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press
[13] Unsworth MH and Monteith JL (1975). Long–wave radiation at the ground. I. Angular distribution of incoming radiation. Quarterly Journal of Royal Meteorological Society, 101:13–24.
[14] Xue Y, Llewellyn Jones DT, Mutlow T (1998). On the Earth’s surface energy exchange determination from ERS satellite ATSR data. Part I: Longwave radiation. International Journal of Remote Sensing, 13:2561–2583.
[15] Xue Y, Llewellyn Jones DT, Mutlow T (2000). On the Earth’s surface energy exchange determination from ERS satellite ATSR data. Part II: shortwave radiation. International Journal of Remote Sensing, 18:3415–3426.
[16] Wang J, White K, Robinson GJ (2000). Estimating surface net solar radiation by use of Landsat–5 TM and digital elevation models. International Journal of Remote Sensing, 1:31–43.
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    Roopashree Shrivastava, Indumathi Srinivasan Iyer, Mahabaleshwar Narayan Hegde, Rajendrakumar Balkrishna Oza. (2018). Application of Remotely Sensed Data in the Estimation of Net Radiation at the Earth’s Surface in Clear Sky Conditions. American Journal of Remote Sensing, 6(1), 23-28. https://doi.org/10.11648/j.ajrs.20180601.14

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    ACS Style

    Roopashree Shrivastava; Indumathi Srinivasan Iyer; Mahabaleshwar Narayan Hegde; Rajendrakumar Balkrishna Oza. Application of Remotely Sensed Data in the Estimation of Net Radiation at the Earth’s Surface in Clear Sky Conditions. Am. J. Remote Sens. 2018, 6(1), 23-28. doi: 10.11648/j.ajrs.20180601.14

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    AMA Style

    Roopashree Shrivastava, Indumathi Srinivasan Iyer, Mahabaleshwar Narayan Hegde, Rajendrakumar Balkrishna Oza. Application of Remotely Sensed Data in the Estimation of Net Radiation at the Earth’s Surface in Clear Sky Conditions. Am J Remote Sens. 2018;6(1):23-28. doi: 10.11648/j.ajrs.20180601.14

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  • @article{10.11648/j.ajrs.20180601.14,
      author = {Roopashree Shrivastava and Indumathi Srinivasan Iyer and Mahabaleshwar Narayan Hegde and Rajendrakumar Balkrishna Oza},
      title = {Application of Remotely Sensed Data in the Estimation of Net Radiation at the Earth’s Surface in Clear Sky Conditions},
      journal = {American Journal of Remote Sensing},
      volume = {6},
      number = {1},
      pages = {23-28},
      doi = {10.11648/j.ajrs.20180601.14},
      url = {https://doi.org/10.11648/j.ajrs.20180601.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajrs.20180601.14},
      abstract = {This study focuses on the estimation of shortwave and longwave radiation utilizing measured data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the National Aeronautic and Space Administration (NASA’s) Terra / Aqua satellites in clear sky conditions. The net radiation is the vector sum of the shortwave and longwave radiation coming towards and going away from the Earth’s surface. The study is carried out for a tropical site Kaiga, located in Southern India for the months of March and April representative of the warm season and the months of November and December representative of the cold season in the year 2013. The validity of the net radiation values estimated from MODIS data is assessed by comparing it with simultaneous ground based measurements from the Mini Boundary Layer Masts (MBLMs). The results indicate that the net radiation values estimated by the satellite are well correlated with the ground based measurements (R2 = 0.983). On an average, for the four months of study, the mean absolute error between the satellite and ground based measurements is 35 W m-2 where as the RMSE is 50 W m-2. Once validated with ground based measurements, the satellite derived net radiation data can be used for validation of land surface energy balance predicted by atmospheric models.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Application of Remotely Sensed Data in the Estimation of Net Radiation at the Earth’s Surface in Clear Sky Conditions
    AU  - Roopashree Shrivastava
    AU  - Indumathi Srinivasan Iyer
    AU  - Mahabaleshwar Narayan Hegde
    AU  - Rajendrakumar Balkrishna Oza
    Y1  - 2018/03/20
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ajrs.20180601.14
    DO  - 10.11648/j.ajrs.20180601.14
    T2  - American Journal of Remote Sensing
    JF  - American Journal of Remote Sensing
    JO  - American Journal of Remote Sensing
    SP  - 23
    EP  - 28
    PB  - Science Publishing Group
    SN  - 2328-580X
    UR  - https://doi.org/10.11648/j.ajrs.20180601.14
    AB  - This study focuses on the estimation of shortwave and longwave radiation utilizing measured data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the National Aeronautic and Space Administration (NASA’s) Terra / Aqua satellites in clear sky conditions. The net radiation is the vector sum of the shortwave and longwave radiation coming towards and going away from the Earth’s surface. The study is carried out for a tropical site Kaiga, located in Southern India for the months of March and April representative of the warm season and the months of November and December representative of the cold season in the year 2013. The validity of the net radiation values estimated from MODIS data is assessed by comparing it with simultaneous ground based measurements from the Mini Boundary Layer Masts (MBLMs). The results indicate that the net radiation values estimated by the satellite are well correlated with the ground based measurements (R2 = 0.983). On an average, for the four months of study, the mean absolute error between the satellite and ground based measurements is 35 W m-2 where as the RMSE is 50 W m-2. Once validated with ground based measurements, the satellite derived net radiation data can be used for validation of land surface energy balance predicted by atmospheric models.
    VL  - 6
    IS  - 1
    ER  - 

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Author Information
  • Radiation Safety Systems Division, Bhabha Atomic Research Centre, Mumbai, India

  • Radiation Safety Systems Division, Bhabha Atomic Research Centre, Mumbai, India

  • Environmental Survey Laboratory, Kaiga Generating Station, Karwar, India

  • Radiation Safety Systems Division, Bhabha Atomic Research Centre, Mumbai, India

  • Section