Testing and diagnosing the ability of the bureau of meteorology's numerical weather prediction systems to support prediction of solar energy production

Journal of Applied Meteorology and Climatology

Volumn 51, Issue 9, 2012, Pages 1577-1601

  Gregory, Paul A ^a   Rikus, Lawrie J ^a   Kepert, Jeffrey D ^a  

^a BUREAU OF METEOROLOGY   (Australia)

Author keywords

Clouds; Forecast verification skill; Mesoscale forecasting; Model evaluation performance; Numerical weather prediction forecasting; Renewable energy

Indexed keywords

FORECAST VERIFICATIONS; MESOSCALE; MODEL EVALUATION; NUMERICAL WEATHER PREDICTION; RENEWABLE ENERGIES;

ABILITY TESTING; CLOUDS; ERRORS; METEOROLOGY; SATELLITES; TROPICS;

FORECASTING;

ACCURACY ASSESSMENT; CLIMATE PREDICTION; COMPARATIVE STUDY; CONVECTIVE CLOUD; ERROR ANALYSIS; MESOSCALE METEOROLOGY; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; RENEWABLE RESOURCE; SATELLITE DATA; SOLAR POWER; WEATHER FORECASTING;

AUSTRALIA;

EID: 84868092042     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-10-05027.1     Document Type: Article

References (26)

1. Breitkreuz, H., M. Schroedter-Homscheid, T. Holzer-Popp, and S. Dech, 2009: Short-range direct and diffuse irradiance forecasts for solar energy applications based on aerosol chemical transport and numerical weather modeling. J. Appl. Meteor. Climatol., 48, 1766-1779.
2. Dare, R. A., 2004: The BMRC Bulk Explicit Microphysics (BEM) scheme. Australian Bureau of Meteorology Tech. Rep. 99, 110 pp.
3. Grant, I., D. Jones, W. Wang, R. Fawcett, and D. Barratt, 2008: Meteorological and remotely sensed datasets for hydrological modelling: A contribution to the Australian Water Availability Project. Extended Abstracts, CAHMDA-III Int. Workshop on Hydrologic Prediction: Modelling, Observation and Data Assimilation, Melbourne, VIC, Australia, Australian Research Council, 23-51.
4. International Organization for Standardization/International Electrotechnical Commission, 2008: Uncertainty of measurement-Part 3: Guide to the expression of uncertainty in measurement (GUM:1995). ISO/IEC Guide 98-3:2008(E), 130 pp.
5. Iqbal, M., 1983: An Introduction to Solar Radiation. Academic Press, 390 pp.
6. Lacis, A. A., and J. E. Hansen, 1974: A parameterization for the absorption of solar radiation in the earth's atmosphere. J. Atmos. Sci., 31, 118-133.
7. Lemus, L., L. Rikus, C. Martin, and R. Platt, 1997: Global cloud liquid water path simulations. J. Climate, 10, 52-64.
8. Lorenz, E., J. Hurka, D. Heinemann, and H. G. Boyer, 2009: Irradiance forecasting for the power prediction of gridconnected photovoltaic systems. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 2, 2-10.
9. McArthur, L. J. B., 2005: World Climate Research Programme Baseline Surface Radiation Network (BSRN) operations manual, version 2.1. WCRP-121 andWMOTech. Rep.WMO/ TD 1274, 188 pp. [Available online at http://www.wmo.int/pages/prog/gcos/documents/gruanmanuals/WCRP/WCRP21_TD1274_BSRN.pdf
10. Ohmura, A., and Coauthors, 1998: Baseline Surface Radiation Network (BSRN/WRMC): New precision radiometry for climate research. Bull. Amer. Meteor. Soc., 79, 2115-2136.
11. Perez, R., K. Moore, S. Wilcox, D. Renne, and A. Zelenka, 2007: Forecasting solar radiation-Preliminary evaluation of an approach based upon the national forecast database. Sol. Energy, 81, 809-812.
12. Puri, K., G. S. Dietachmayer, G. A. Mills, N. E. Davidson, R. A. Bowen, and L. W. Logan, 1998: The newBMRCLimited Area Prediction System, LAPS. Aust. Meteor. Mag., 47, 203-223.
13. Ramaswamy, V., and S. M. Freidenreich, 1992: A study of broadband parameterizations of the solar radiative interactions with water vapor and water drops. J. Geophys. Res., 97, 11 487-11 512.
14. Reikard, G., 2009: Predicting solar radiation at high resolutions: A comparison of time series forecasts. Sol. Energy, 83, 342-349.
15. Rikus, L., 1997: Application of a scheme for validating clouds in an operational global NWP model. Mon. Wea. Rev., 125, 1615-1637.
16. Seaman, R., W. Bourke, P. Steinle, T. Hart, G. Embery, M. Naughton, and L. Rikus, 1995: Evolution of the Bureau of Meteorology's Global Assimilation and Prediction system. Part 1: Analysis and initialisation. Aust. Meteor. Mag., 44, 1-18.
17. Tiedke, M., 1989: A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon. Wea. Rev., 117, 1779-1800.
18. Vincent, C. L., W. P. Bourke, J. D. Kepert, M. Chattopadhay, Y. Ma, P. J. Steinle, and C. I. W. Tingwell, 2008: Verification of a high-resolution mesoscale NWP system. Aust. Meteor. Mag., 57, 213-233.
19. Welch, R. M., S.K. Cox, and J. M. Davis, 1980: Solar Radiation and Clouds. Meteor. Monogr., No. 39, Amer. Meteor. Soc., 96 pp.
20. Weymouth, G. T., and J. F. Le Marshall, 1999: An operational system to estimate global solar exposure over the Australian region from satellite observations 1. Method and the initial climatology. Aust. Meteor. Mag., 48, 181-195.
21. Weymouth, G. T., and J. F. Le Marshall, 2001: Estimation of daily surface solar exposure using GMS-5 stretched-VISSR observations: The system and the basics. Aust. Meteor. Mag., 50, 263-278.
22. Wittman, M., H. Breitkreuz, M. Schroedter-Homscheidt, and M. Eck, 2008: Case studies on the use of solar irradiance forecast for optimized operation strategies of solar thermal power plants. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 1, 18-27.
23. World Meteorological Organization, 1975: International cloud atlas, volume I: Manual on the observation of clouds and other meteors. WMO Tech. Rep. 407, 155 pp.
24. World Meteorological Organization, 1987: International cloud atlas, volume II [photographs]. WMO Tech. Rep. 407, 206 pp.
25. World Meteorological Organization, 2012: Guide to meteorological instruments and methods of observation: 2008 edition, updated in 2010. WMO Tech. Rep. 8, 716 pp. [Available online at ftp://ftp.wmo.int/Documents/MediaPublic/Publications/WMO8_CIMOguide/WMO8_Ed2008_Up2010_en.pdf.
26. Zamora, R., E.G.Dutton, M. Trainer, S.A.McKeen, J.M.Wilczak, and Y.-T. Hou, 2005: The accuracy of solar irradiance calculations used in mesoscale numerical weather prediction. Mon. Wea. Rev., 133, 783-792.