Outgoing longwave radiation prediction using dynamic mode decomposition
About this article
Abstract
Weather prediction is a very tedious process since lot of factors affect it and because of that it is very non-linear in nature. Many research works have shown that the Outgoing Longwave Radiation (OLR) has a very concrete linear relation with many weather parameters includ-ing rainfall and it is one of the key factor in determining the global energy budget. In this work we are predicting the global surface OLR by using past OLR data and loading it onto Dynamic Mode Decomposition (DMD) algorithm. The DMD is a technique which uses data driv-en dimensionality reduction approach for extracting dynamically relevant features which uses time-resolved numerical data for prediction and analysis.
Keywords
- Arcgis
- Dynamic Mode Decomposition (DMD)
- Outgoing Longwave Radiation (OLR)
- Prediction
- Spatio-Temporal
References
[1] L. J. Cimini , Jr., “Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing,” IEEE Trans. Commun., Jul. 1985, vol. COM-33, no. 7, pp. 665–675
[2] S. Weinstein and P. Ebert, “Data transmission by frequency-division multiplexing using the discrete Fourier transform,” IEEE Trans. Commun.Technol.Oct. 1971, vol. COM-19, no. 5, pp. 628–634.
[3] Thomas keller and lajoshanzo,” adaptive multicarrier modulation: a convenient Framework for time-frequency processing in Wireless communications”, IEEE proceedings of the IEEE, May 2000, vol. 88, no. 5.
[4] M. Speth, S. Fechtel, G. Fock, and H. Meyr. Optimum Receiver Design for Wireless Broadband Systems Using OFDM - Part I. IEEE Trans. On Comm., November 1999, 47(11):1668–1677.
[5] HamedAbdzadeh-Ziabari and Mahrokh G. Shayesteh.” Robust Timing and Frequency Synchronization for OFDM Systems,” IEEE Transactions on vehicular technology, October 2011, vol. 60, no. 8.
View more references (9)
[6] T. M. Schmidl and D. C. Cox, “Robust frequency and timing synchronization for OFDM,” IEEE Trans. Commun., Dec. 1997 vol. 45, pp. 1613–1621.
[7] H. Minn, M. Zeng, and V. K. Bhargava, “On timing offset estimation for OFDM systems,” IEEE Commun. Lett., July 2000, vol. 4, pp. 242–244.
[8] B. Park, H. Cheon, C. Kang, and D. Hong, “A novel timing estimation method for OFDM systems,” IEEE Commun. Lett., May 2003, vol. 7, pp. 239–241.
[9] Guangliang Ren, Y chang, Hui Zhang, and H Zhang,’Synchronization Method Based on a New Constant Envelope Preamble for OFDM System,” vol. 51, no.1, pp. 139-143, March 2005.
[10] Y. Kang, S. Kim, D. Ahn, H. Lee, "Timing estimation for OFDM systems by using a correlation sequence of preamble", IEEE Trans. Consumer Electronics, vol. 54, no. 4, pp. 1600-1608, Nov. 2008.
[11] B. Sheng, J. Zheng, X. You, L. Chen, “A Novel Timing Synchronization Method for OFDM Systems”, IEEE Communications Letters,Vol. 14, NO. 12, December 2010.
[12] H.A.Ziabari, M . G. Shayesteh, M . Manaffar, “An Improved Timing Estimation Method For OFDM Systems” , IEEE Trans. Consumer Electronics, vol. 56, No. 4, Nov. 2010.
[13] H.A.Ziabari, M. G. Shayesteh, M. Manaffar, “A Novel Preamble-Based Frame Timing Estimator for OFDM Systems”, IEEE Communications Letters,Vol. 16, NO. 7, JULY- 2012.
[14] B. Sahu, Saswat Chakrabarti, S. L. Maskara, “A New Timing Synchronization Metric for OFDM Based WLAN Systems”, Springer Wireless Personal Commun. (2010) 52:829–8.