Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data

Atmospheric Chemistry and Physics

Volumn 16, Issue 4, 2016, Pages 2543-2557

  Tang, Wenjun ^a,b   Qin, Jun ^a   Yang, Kun ^a,b   Liu, Shaomin ^c   Lu, Ning ^d   Niu, Xiaolei ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b CAS CENTER FOR EXCELLENCE IN TIBETAN PLATEAU EARTH SCIENCES   (China)

^c BEIJING NORMAL UNIVERSITY   (China)

^d INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CLOUD; ERROR ANALYSIS; MODIS; MTSAT; SOLAR RADIATION; SPATIOTEMPORAL ANALYSIS;

CHINA; HAI BASIN;

EID: 84960193758     PISSN: 16807316     EISSN: 16807324     Source Type: Journal    
DOI: 10.5194/acp-16-2543-2016     Document Type: Article

References (57)

1. Benghanem, M. and Mellit, A.: Radial basis function network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia, Energy, 35, 3751-3762, 2010.
2. Berbery, E. H., Mitchell, K. E., Benjamin, S., Smirnova, T., Ritchie, H., Hogue, R., and Radeva, E.: Assessment of land-surface energy budgets from regional and global models, J. Geophys. Res., 104, 19329-19348, 1999.
3. Chesters, D., Robinson, W. D., and Uccellini, L. W.: Optimized retrievals of precipitable water from the VAS "Split Windows", J. Clim. Appl. Meteorol., 26, 10591066, doi:10.1175/1520-0450(1987)026〈1059:OROPWF〉2.0.CO;2, 1987.
4. Chou, M.-D. and Suarez, M. J.: A Solar Radiation Parameterization for Atmospheric Studies, NASA Tech. Rep. Ser. Global Model. Data Assimilation, Vol. 15, NASA Tech. Memo., TM-1999-104606, Maryland, USA, 42 pp., 1999.
5. Deneke, H., Feijt, A., and Roebeling, R.: Estimating surface solar irradiance from METEOSAT SEVIRI-derived cloud properties, Remote Sens. Environ., 112, 3131-3141, doi:10.1016/j.rse.2008.03.012, 2008.
6. Deneke, H. M., Knap, W. H., and Simmer C.: Multiresolution analysis of the temporal variance and correlation of transmittance and reflectance of an atmospheric column, J. Geophys. Res., 114, D17206, doi:10.1029/2008JD011680, 2009.
7. Dubovik, O. and King, M. D.: A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J. Geophys. Res., 105, 20673-20696, 2000.
8. Hammer, A., Heinemann, D., Hoyer, C., Lorenz, E., Muller, R., and Beyer, H. G.: Solar energy assessment using remote sensing technologies, Remote Sens. Environ., 86, 423-432, doi:10.1016/S0034-4257(03)00083-X, 2003.
9. Halthore, R. N., Crisp, D., Schwartz, S. E., Anderson, G. P., Berk, A., Bonnel, B., Boucher, O., Chang, F.-L., Chou, M.-D., Clothiaux, E. E., Dubuisson, P., Fomin, B., Fouquart, Y., Freidenreich, S., Gautier, C., Kato, S., Laszlo, I., Li, Z., Mather, J. H., Plana-Fattori, A., Ramaswamy, V., Ricchiazzi, P., Shiren, Y., Trishchenko, A., andWiscombe,W.: Intercomparison of shortwave radiative transfer codes and measurements, J. Geophys. Res., 110, D11206, doi:10.1029/2004JD005293, 2005.
10. Hess, M., Koepke, P., and Schult, I.: Optical properties of aerosol and clouds: the software package OPAC, B. Am. Meteorol. Soc., 79, 831-844, 1998.
11. Huang, G., Ma, M., Liang, S., Liu, S., and Li, X.: A LUT-based approach to estimate surface solar irradiance by combining MODIS and MTSAT data, J. Geophys. Res., 116, D22201, doi:10.1029/2011JD016120, 2011.
12. Huang G., Liu S., and Liang S.: Estimation of net surface shortwave radiation from MODIS data, Int. J. Remote Sens., 33, 804-825, 2012.
13. Huang, J., Minnis, P., Lin, B., Yi, Y., Khaiyer, M., Arduini, R., Fan, A., and Mace, G.: Advanced retrievals of multilayered cloud properties using multispectral measurements, J. Geophys. Res., 110, D15S18, doi:10.1029/2004JD005101, 2005.
14. Huang, J., Minnis, P., Lin, B., Yi, Y., Sun-Mack, S., Fan, T., and Ayers, J.: Determination of ice water path in ice-over-water cloud systems using combined MODIS and AMSR-E measurements, Geophys. Res. Lett., 33, L21801, doi:10.1029/2006GL027038, 2006.
15. Huang, J., Yu, H., Guan, X., Wang, G., and Guo, R.: Accelerated dryland expansion under climate change, Nature Climate Change, 6, 166-171, doi:10.1038/nclimate2837, 2016.
16. Jia, B., Xie, Z., Dai, A., Shi, C., and Chen F.: Evaluation of satellite and reanalysis products of downward surface solar radiation over East Asia: Spatial and seasonal variations, J. Geophys. Res.-Atmos., 118, 3431-3446, doi:10.1002/jgrd.50353, 2013.
17. Kawai, Y. and Kawamura H.: Validation and improvement of satellite derived surface solar radiation over the northwestern Pacific Ocean, J. Oceanogr., 61, 79-89, doi:10.1007/s10872-005-0021-7, 2005.
18. Kim, D. and Ramanathan, V.: Solar radiation budget and radiative forcing due to aerosols and clouds, J. Geophys. Res., 113, D02203, doi:10.1029/2007JD008434, 2008.
19. King, M., Menzel, W. P., Kaufman, Y. J., Tanre, D., Gao, B., Platnick, S., Ackerman , S. A., Remer, L. A., Pincus, R., Hubanks, P. K.: Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS, IEEE T. Geosci. Remote, 41, 442-458, doi:10.1109/TGRS.2002.808226, 2003.
20. King, M. D., Tsay, S. C., Platnick, S. E.,Wang, M. H., and Liou, K. N.: Cloud retrieval algorithms for MODIS: optical thickness, effective particle radius, and thermodynamic phase, MODIS Algorithm Theoretical Basis Document No. ATBD-MOD-05, 1997.
21. Koepke, P., Hess, M., Schult, I., and Shettle, E. P.: Global Aerosol Data Set, Report No. 243, Max-Planck Institut für Meteorologie, Hamburg, Germany, 1997.
22. Li, Y. Y., Yu, R. C., Xu, Y. P., and Zhang, X. H.: Spatial distribution and seasonal variation of cloud over China based on ISCCP data and surface observations, J. Meteorol. Soc. Jpn., 82, 761-773, 2004.
23. Li, Z., Cribb, M., Chang, F. L., Trishchenko, A., and Luo, Y.: Natural variability and sampling errors in solar radiation measurements for model validation over the atmospheric radiation measurement Southern Great Plains region, J. Geophys. Res., 110, D15S19, doi:10.1029/2004JD005028, 2005.
24. Liang, S., Zheng, T., Liu, R. G., Fang, H. L., Tsay, S. C., and Running S.: Estimation of incident photosynthetically active radiation from Moderate Resolution Imaging Spectrometer data, J. Geophys. Res., 111, D15208, doi:10.1029/2005JD006730, 2006.
25. Liu, S. M., Xu, Z., Zhu, Z., Jia, Z., and Zhu, M.: Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China, J. Hydrol., 487, 24-38 doi:10.1016/j.jhydrol.2013.02.025, 2013.
26. Liu, Y., Xia, J., Shi, C.-X., and Hong, Y.: An Improved Cloud Classification Algorithm for China's FY-2C Multi-Channel Images Using Artificial Neural Network, Sensors, 9, 5558-5579, 2009.
27. Lu, N., Liu, R., Liu, J., and Liang, S.: An algorithm for estimating downward shortwave radiation from GMS 5 visible imagery and its evaluation over China, J. Geophys. Res., 115, D18102, doi:10.1029/2009JD013457, 2010.
28. Lu, N., Qin, J., Yang, K., and Sun, J.: A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data, Energy, 36, 3179-3188, doi:10.1016/j.energy.2011.03.007, 2011.
29. Ma, Y. and Pinker, R. T.: Modeling shortwave radiative fluxes from satellites, J. Geophys. Res., 117, D23202, doi:10.1029/2012JD018332, 2012.
30. Minnis, P., Huang, J., Lin, B., Yi, Y., Arduini, R., Fan, T., Ayers, J., and Mace, G.: Ice cloud properties in ice-over-water cloud systems using Tropical Rainfall Measuring Mission (TRMM) visible and infrared scanner and TRMM Microwave Imager data, J. Geophys. Res., 112, D06206, doi:10.1029/2006JD007626, 2007.
31. Mondol, J. D., Yohanis, Y. G., and Norton, B.: Solar radiation modelling for the simulation of photovoltaic systems, Renew. Energ., 33, 1109-1120, 2008.
32. Mueller, R., Matsoukas, C., Gratzki, A., Behr, H., and Hollmann, R.: The CM-SAF operational scheme for the satellite based retrieval of solar surface irradiance-A LUT based eigenvector hybrid approach, Remote Sens. Environ., 113, 1012-1024, doi:10.1016/j.rse.2009.01.012, 2009.
33. Oliver, M. and Jackson, T.: Energy and economic evaluation of building-integrated photovoltaics, Energy, 26, 431-439, 2001.
34. Pinker, R. T., Tarpley, J. D., Laszlo, I., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., Robock, A., Lohmann, D., Cosgrove, B. A., Sheffield, J., Duan, Q., Luo, L., and Higgins, R.W.: Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project, J. Geophys. Res., 108, 8844, doi:10.1029/2002JD003301, 2003.
35. Posselt, R., Mueller, R., Stöckli, R., and Trentmann, J.: Remote sensing of solar surface radiation for climate monitoring-The CM-SAF retrieval in international comparison, Remote Sens. Environ., 118, 186-198, 2012.
36. Qin, J., Tang W. J., Yang, K., Lu N., Niu X. L., and Liang, S. L.: An efficient physically-based parameterization to derive surface solar irradiance based on satellite atmospheric products, J. Geophys. Res.-Atmos., 120, 4975-4988, doi:10.1002/2015JD023097, 2015.
37. Räisänen, P.: Two-stream approximations revisited: A new improvement and tests with GCM data, Q. J. Roy. Meteor. Soc., 128, 2397-2416, doi:10.1256/qj.01.161, 2002.
38. Rigollier, C., Lefèvre, M., and Wald, L.: The method Heliosat-2 for deriving shortwave solar radiation from satellite images, Sol. Energy, 77, 159-169, doi:10.1016/j.solener.2004.04.017, 2004.
39. Roebeling, R., van Putten, E., Genovese, G., and Rosema, A.: Application of meteosat derived meteorological information for crop yield predictions in Europe, Int. J. Remote Sens., 25, 5389-5401, 2004.
40. Schaaf, C. B., Gao, F., Strahler, A. H., Lucht, W., Li, X., Tsang, T., and Roy, D.: First operational BRDF, albedo nadir reflectance products from MODIS, Remote Sens. Environ., 83, 135-148, doi:10.1016/S0034-4257(02)00091-3, 2002.
41. Stackhouse, P. W., Gupta, S. K., Cox, S. J., Mikovitz, J. C., Zhang, T., and Chiacchio, M.: 12-year surface radiation budget data set, GEWEX News, 14, 10-12, 2004.
42. Sun, Z., Liu, J., Zeng, X., and Liang H.: Parameterization of instantaneous global horizontal irradiance: Cloudy-sky component, J. Geophys. Res., 117, D14202, doi:10.1029/2012JD017557, 2012.
43. Tanahashi, S., Kawamura, H., Matsuura, T., Takahashi, T., and Yusa H.: A system to distribute satellite incident solar radiation in real-time, Remote Sens. Environ., 75, 412-422, doi:10.1016/S0034-4257(00)00183-8, 2001.
44. Tang, W. J., Yang, K., He, J., and Qin, J.: Quality control and estimation of global solar radiation in China, Sol. Energy, 84, 466-475, 2010.
45. Tang, W. J., Yang, K., Qin, J., and Min, M.: Development of a 50-year daily surface solar radiation dataset over China, Sci. China Ser. D, 56, 1555-1565, doi:10.1007/s11430-012-4542-9, 2013.
46. Wang, H. M. and Pinker, R. T.: Shortwave radiative fluxes from MODIS: Model development and implementation, J. Geophys. Res., 114, D20201, doi:10.1029/2008JD010442, 2009.
47. Wang, P., Stammes, P., and Mueller, R.: Surface solar irradiance from SCIAMACHY measurements: algorithm and validation, Atmos. Meas. Tech., 4, 875-891, doi:10.5194/amt-4-875-2011, 2011.
48. Wang, P., Sneep, M., Veefkind, J. P., Stammes, P., and Levelt, P. F.: Evaluation of broadband Surface solar irradiance from the Ozone Monitoring Instrument, Remote Sens. Environ., 149, 88-99, doi:10.1016/j.rse.2014.03.036, 2014.
49. Wu, F. T. and Fu, C. B.: Assessment of GEWEX/SRB version 3.0 monthly global radiation dataset over China, Meteorol. Atmos. Phys., 112, 155-166, 2011.
50. Xue, B. L.,Wang, L., Li, X., Yang, K., Chen, D., and Sun, L.: Evaluation of evapotranspiration estimates for two river basins on the Tibetan Plateau by a water balance method, J. Hydrol., 492, 290-297, doi:10.1016/j.jhydrol.2013.04.005, 2013.
51. Yang, K., Koike, T., and Ye, B.: Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets, Agr. Forest Meteorol., 137, 43-55, 2006.
52. Yang, K., Pinker, R. T., Ma, Y., Koike, T., Wonsick, M. M., Cox, S. J., Zhang, Y., and Stackhouse P.: Evaluation of satellite estimates of downward shortwave radiation over the Tibetan Plateau, J. Geophys. Res., 113, D17204, doi:10.1029/2007JD009736, 2008.
53. Yeom, J. M. and Han, K. S.: Improved estimation of surface solar insolation using a neural network and MTSAT-1R data, Comput. Geosci., 36, 590-597, 2010.
54. Yeom, J. M., Han, K. S., Kim, Y. S., and Jang, J. D.: Neural network determination of cloud attenuation to estimate insolation using MTSAT-1R data, Int. J. Remote Sens., 29, 6193-6208, 2008.
55. Yu, R. C., Yu, Y. Q., and Zhang, M. H.: Comparing cloud radiative properties between the eastern China and the Indian monsoon region, Adv. Atmos. Sci., 18, 1090-1102, 2001.
56. Zhang, X. T., Liang, S. L., Zhou, G. Q., Wu, H. R., and Zhao, X.: Generating Global LAnd Surface Satellite incident shortwave radiation and photosynthetically active radiation products from multiple satellite data, Remote Sens. Environ., 152, 318-332, 2014.
57. Zhang, Y., Rossow,W. B., Lacis, A. A., Oinas, V., and Mishchenko, M. I.: Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets-refinements of the radiative transfer model and the input data, J. Geophys. Res., 109, D19105, doi:10.1029/2003JD004457, 2004.