Extension of the Lanczos algorithm for simultaneous computation of multiple targeted singular vector sets
This article discusses an extension of the singular vector (SV) method in the context of an initial perturbation generator for an ensemble prediction system (EPS). In general, multiple SVs targeted at different regions are computed in operational EPSs to extract growing modes with focus on different...
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| Published in | Quarterly journal of the Royal Meteorological Society Vol. 146; no. 726; pp. 454 - 467 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Chichester, UK
John Wiley & Sons, Ltd
01.01.2020
Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0035-9009 1477-870X |
| DOI | 10.1002/qj.3686 |
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| Abstract | This article discusses an extension of the singular vector (SV) method in the context of an initial perturbation generator for an ensemble prediction system (EPS). In general, multiple SVs targeted at different regions are computed in operational EPSs to extract growing modes with focus on different parts of the EPS domain. However, significant computational cost is associated with running all the procedures of the SV computations multiple times. In this study, the Lanczos algorithm used for SV computation was extended to allow simultaneous computation of multiple targeted SV sets. Algebraic calculations in the algorithm, such as orthonormalizations and eigenvalue problem resolution, are separately implemented for multiple “subdomains” incorporating different targeting areas, and SV sets are computed for individual subdomains. However, forward and backward linearized propagation runs through the whole domain, shared among the SV sets from all the subdomains. As such algebraic operation accounts for a relatively small part of all computation, the computational cost increment brought by the algorithm extension is also small in relation to single SV computations. For verifications, consistency between SVs produced with the original and extended algorithms was examined. Both SV sets spanned the same subspaces with similar linear growth rates, except those derived on subdomain boundaries, where SVs produced using the extended algorithm were truncated by the boundary. To avoid such truncation, it is necessary to set a subdomain large enough to cover the target area and its surrounding region. In this article, some applications of this algorithm in operational situations are suggested. Also, an application of subdomain to the wave‐number space is described.
Mixing ratio of water vapour (g · kg−1) and wind (arrows with half‐barbs representing 5 knots, full barbs 10 knots and triangles 50 knots) at 950 hPa, and sea‐level pressure (contour interval: 2 hPa) from the nonlinear trajectory for the TLM and ADM. (a) At T + 0 (1800 UTC 17 September 2017), (b) at T + 6 (0000 UTC 18 September 2017). |
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| AbstractList | This article discusses an extension of the singular vector (SV) method in the context of an initial perturbation generator for an ensemble prediction system (EPS). In general, multiple SVs targeted at different regions are computed in operational EPSs to extract growing modes with focus on different parts of the EPS domain. However, significant computational cost is associated with running all the procedures of the SV computations multiple times. In this study, the Lanczos algorithm used for SV computation was extended to allow simultaneous computation of multiple targeted SV sets. Algebraic calculations in the algorithm, such as orthonormalizations and eigenvalue problem resolution, are separately implemented for multiple “subdomains” incorporating different targeting areas, and SV sets are computed for individual subdomains. However, forward and backward linearized propagation runs through the whole domain, shared among the SV sets from all the subdomains. As such algebraic operation accounts for a relatively small part of all computation, the computational cost increment brought by the algorithm extension is also small in relation to single SV computations. For verifications, consistency between SVs produced with the original and extended algorithms was examined. Both SV sets spanned the same subspaces with similar linear growth rates, except those derived on subdomain boundaries, where SVs produced using the extended algorithm were truncated by the boundary. To avoid such truncation, it is necessary to set a subdomain large enough to cover the target area and its surrounding region. In this article, some applications of this algorithm in operational situations are suggested. Also, an application of subdomain to the wave‐number space is described.
Mixing ratio of water vapour (g · kg−1) and wind (arrows with half‐barbs representing 5 knots, full barbs 10 knots and triangles 50 knots) at 950 hPa, and sea‐level pressure (contour interval: 2 hPa) from the nonlinear trajectory for the TLM and ADM. (a) At T + 0 (1800 UTC 17 September 2017), (b) at T + 6 (0000 UTC 18 September 2017). This article discusses an extension of the singular vector (SV) method in the context of an initial perturbation generator for an ensemble prediction system (EPS). In general, multiple SVs targeted at different regions are computed in operational EPSs to extract growing modes with focus on different parts of the EPS domain. However, significant computational cost is associated with running all the procedures of the SV computations multiple times. In this study, the Lanczos algorithm used for SV computation was extended to allow simultaneous computation of multiple targeted SV sets. Algebraic calculations in the algorithm, such as orthonormalizations and eigenvalue problem resolution, are separately implemented for multiple “subdomains” incorporating different targeting areas, and SV sets are computed for individual subdomains. However, forward and backward linearized propagation runs through the whole domain, shared among the SV sets from all the subdomains. As such algebraic operation accounts for a relatively small part of all computation, the computational cost increment brought by the algorithm extension is also small in relation to single SV computations. For verifications, consistency between SVs produced with the original and extended algorithms was examined. Both SV sets spanned the same subspaces with similar linear growth rates, except those derived on subdomain boundaries, where SVs produced using the extended algorithm were truncated by the boundary. To avoid such truncation, it is necessary to set a subdomain large enough to cover the target area and its surrounding region. In this article, some applications of this algorithm in operational situations are suggested. Also, an application of subdomain to the wave‐number space is described. |
| Author | Ono, Kosuke |
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| Cites_doi | 10.1016/j.jcp.2007.02.014 10.1175/1520-0477(1993)074<2317:EFANTG>2.0.CO;2 10.1175/1520-0469(1999)056<1627:SVPGIA>2.0.CO;2 10.1002/qj.2982 10.1175/MWR3120.1 10.1256/qj.05.132 10.1002/qj.49712051609 10.1175/1520-0469(1998)055<0633:SVMAAO>2.0.CO;2 10.1175/1520-0469(1995)052<1434:TSVSOT>2.0.CO;2 10.1002/qj.2469 10.1111/j.1600-0870.2010.00501.x 10.1090/S0025-5718-1984-0725988-X 10.1111/j.1600-0870.2010.00509.x 10.1175/2009MWR2697.1 10.1111/j.2153-3490.1965.tb01424.x |
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| References | 1995; 52 2015; 141 2017; 41 1984; 42 2005; 131 2010 1994; 120 1993; 74 1999; 56 2011; 63 2008; 227 2003 2017; 143 2013 1965; 17 2018; 42 2006; 134 1998; 55 2009; 137 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 e_1_2_7_3_1 e_1_2_7_8_1 Ono K. (e_1_2_7_13_1) 2017 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_18_1 e_1_2_7_17_1 e_1_2_7_16_1 Yonehara H. (e_1_2_7_22_1) 2018 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_12_1 e_1_2_7_11_1 e_1_2_7_10_1 e_1_2_7_21_1 Kalnay E. (e_1_2_7_9_1) 2003 Yamaguchi H. (e_1_2_7_20_1) 2018 |
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| SubjectTerms | Algorithms Computation Computer applications ensemble prediction Growth rate Lanczos algorithm Procedures singular vector |
| Title | Extension of the Lanczos algorithm for simultaneous computation of multiple targeted singular vector sets |
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