POST-PROCESSING OF THE WRF OUTPUT FOR 10-METER WIND SPEED AND 2-METER TEMPERATURE USING NONLINEAR KALMAN FILTERING METHOD

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RASTGOO Z.; AZADI M.; HAJJAM S.

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Journal: JOURNAL OF CLIMATE RESEARCH Year:2011 | Volume:1 | Issue:3-4 Page(s): 95-108

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Title

POST-PROCESSING OF THE WRF OUTPUT FOR 10-METER WIND SPEED AND 2-METER TEMPERATURE USING NONLINEAR KALMAN FILTERING METHOD

Author(s)

RASTGOO Z. | AZADI M. | HAJJAM S. | Issue Writer Certificate

Keywords

WRF MODELQ3

NWPQ3

POST-PROCESSINGQ2

POLYNOMIALQ2

KALMAN FILTERQ2

Abstract

Introduction:The Numerical Weather Prediction (NWP) models usually surface systematic errors in the forecasts of certain meteorological parameters. This drawback is a result not only of the shortcoming in the physical parameterization, but also of the inability of these models to handle successfully sub-grid scale phenomena.In order to reduce the influence of the above mentioned drawbacks in the final output of a NWP model, a variety of approaches based on statistical methods has been used. Most of them are derived from Model Output Statistics (MOS), which are able to account for local effects and seasonal changes. The limitation of this method and the similar ones is the necessity of access to long term data which are not always available. Among the methods that doesn’t need to long term data, KALMAN FILTER is one of the most successful methods to this problem (post-processing) [Azadi et al, 2007; Chochet, 2004; Galanis and Anadranistakis, 2002; Homleid, 1995; Kalman and Bucy, 1961]. In this method, observations are recursively combined with recent forecast using weights that minimize the corresponding biases. The structure of KALMAN FILTER algorithms is more suitable to describe linear procedures. For this reason, their application on meteorological parameters following a non-linear discontinuous behavior is always dubious.

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APA: Copy

RASTGOO, Z., AZADI, M., & HAJJAM, S.. (2011). POST-PROCESSING OF THE WRF OUTPUT FOR 10-METER WIND SPEED AND 2-METER TEMPERATURE USING NONLINEAR KALMAN FILTERING METHOD. JOURNAL OF CLIMATE RESEARCH, 1(3-4), 95-108. SID. https://sid.ir/paper/213095/en

Vancouver: Copy

RASTGOO Z., AZADI M., HAJJAM S.. POST-PROCESSING OF THE WRF OUTPUT FOR 10-METER WIND SPEED AND 2-METER TEMPERATURE USING NONLINEAR KALMAN FILTERING METHOD. JOURNAL OF CLIMATE RESEARCH[Internet]. 2011;1(3-4):95-108. Available from: https://sid.ir/paper/213095/en

IEEE: Copy

Z. RASTGOO, M. AZADI, and S. HAJJAM, “POST-PROCESSING OF THE WRF OUTPUT FOR 10-METER WIND SPEED AND 2-METER TEMPERATURE USING NONLINEAR KALMAN FILTERING METHOD,” JOURNAL OF CLIMATE RESEARCH, vol. 1, no. 3-4, pp. 95–108, 2011, [Online]. Available: https://sid.ir/paper/213095/en

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