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Surface Solar Irradiance from Sciamachy Measurements: Algorithm and Validation : Volume 4, Issue 5 (16/05/2011)

By Wang, P.

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Book Id: WPLBN0003981514
Format Type: PDF Article :
File Size: Pages 17
Reproduction Date: 2015

Title: Surface Solar Irradiance from Sciamachy Measurements: Algorithm and Validation : Volume 4, Issue 5 (16/05/2011)  
Author: Wang, P.
Volume: Vol. 4, Issue 5
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Mueller, R., Stammes, P., & Wang, P. (2011). Surface Solar Irradiance from Sciamachy Measurements: Algorithm and Validation : Volume 4, Issue 5 (16/05/2011). Retrieved from http://www.ebooklibrary.org/


Description
Description: Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands. Broadband surface solar irradiances (SSI) are, for the first time, derived from SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY) satellite measurements. The retrieval algorithm, called FRESCO (Fast REtrieval Scheme for Clouds from the Oxygen A band) SSI, is similar to the Heliosat method. In contrast to the standard Heliosat method, the cloud index is replaced by the effective cloud fraction derived from the FRESCO cloud algorithm. The MAGIC (Mesoscale Atmospheric Global Irradiance Code) algorithm is used to calculate clear-sky SSI. The SCIAMACHY SSI product is validated against globally distributed BSRN (Baseline Surface Radiation Network) measurements and compared with ISCCP-FD (International Satellite Cloud Climatology Project Flux Dataset) surface shortwave downwelling fluxes (SDF). For one year of data in 2008, the mean difference between the instantaneous SCIAMACHY SSI and the hourly mean BSRN global irradiances is −4 W m−2 (−1 %) with a standard deviation of 101 W m−2 (20 %). The mean difference between the globally monthly mean SCIAMACHY SSI and ISCCP-FD SDF is less than −12 W m−2 (−2 %) for every month in 2006 and the standard deviation is 62 W m−2 (12 %). The correlation coefficient is 0.93 between SCIAMACHY SSI and BSRN global irradiances and is greater than 0.96 between SCIAMACHY SSI and ISCCP-FD SDF. The evaluation results suggest that the SCIAMACHY SSI product achieves similar mean bias error and root mean square error as the surface solar irradiances derived from polar orbiting satellites with higher spatial resolution.

Summary
Surface solar irradiance from SCIAMACHY measurements: algorithm and validation

Excerpt
Schrijver, H., Gloudemans, A. M. S., Frankenberg, C., and Aben, I.: Water vapour total columns from SCIAMACHY spectra in the 2.36 μm window, Atmos. Meas. Tech., 2, 561–571, doi:10.5194/amt-2-561-2009, 2009.; Stammes, P., Sneep, M., de Haan, J. F., Veefkind, J. P., Wang, P., and Levelt, P. F.: Effective cloud fractions from the Ozone Monitoring Instrument: Theoretical framework and validation, J. Geophys. Res., 113, D16S38, doi:10.1029/2007JD008820, 2008.; Su, Z., Dorigo, W., Fernández-Prieto, D., Van Helvoirt, M., Hungershoefer, K., de Jeu, R., Parinussa, R., Timmermans, J., Roebeling, R., Schröder, M., Schulz, J., Van der Tol, C., Stammes, P., Wagner, W., Wang, L., Wang, P., and Wolters, E.: Earth observation Water Cycle Multi-Mission Observation Strategy (WACMOS), Hydrol. Earth Syst. Sci. Discuss., 7, 7899–7956, doi:10.5194/hessd-7-7899-2010, 2010.; Wang, H. and Pinker, R. T.: Shortwave radiative fluxes from MODIS: Model development and implementation, J. Geophys. Res., 114, D20201, doi:10.1029/2008JD010442, 2009.; Wang, P., Stammes, P., van der A, R., Pinardi, G., and van Roozendael, M.: FRESCO+: an improved O2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals, Atmos. Chem. Phys., 8, 6565–6576, doi:10.5194/acp-8-6565-2008, 2008.; Wang, P., Fournier, N., van der A, R. and Stammes, P.: Fifteen years of global cloud data derived from GOME and SCIAMACHY oxygen A band measurements, Proceedings of ESA Living Planet Symposium, Bergen, Norway, 29 June–2 July, 2010.; Dagestad, K.-F. and Olseth, J. A.: A modified algorithm for calculating the cloud index, Sol. Energy, 81, 280–289, 2007.; Darnell, W. L., Staylor, W. F., Gupta, S. K., and Denn, F. M.: Estimation of surface insolation using sun-synchronous satellite data, J. Climate, 820–835, 1988.; Wang, P., Knap, W. H., and Stammes, P.: Cloudy sky shortwave radiative closure for a Baseline Surface Radiation Network site, J. Geophys. Res., 116, D08202, doi:10.1029/2010JD015141, 2011.; Yang, K., Koike, T., Stackhouse, P., Mikovitz, C., and Cox, S. J.: An assessment of satellite surface radiation products for highlands with Tibet instrumental data, Geophys. Res. Lett., 33, L22403, doi:10.1029/2006GL027640, 2006.; Zelenka, A., Perez, R., Seals, R., and Reme, D.: Effective accuracy of satellite-derived hourly irradiances, Theor. Appl. Climatol., 62, 199–207, 1999.; Zhang, Y.-C., 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.; Zhang, Y., Rossow, W. B., and Stackhouse Jr., P. W.: Comparison of different global information sources used in surface radiative flux calculation: Radiative properties of the near-surface atmosphere, J. Geophys. Res., 111, D13106, doi:10.1029/2005JD006873, 2006.; Zhang, Y., Rossow, W. B., and Stackhouse Jr., P. W.: Comparison of different global information sources used in surface radiative flux calculation: Radiative properties of the surface, J. Geophys. Res., 112, D01102, doi:10.1029/2005JD007008, 2007.; Dagestad, K.-F.: Estimating global radiation at ground level from satellite

 

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