<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20241031//EN"
        "https://jats.nlm.nih.gov/publishing/1.4/JATS-journalpublishing1-4.dtd">
<article  article-type="research-article"        dtd-version="1.4">
            <front>

                <journal-meta>
                                    <journal-id></journal-id>
            <journal-title-group>
                                                                                    <journal-title>Bitlis Eren Üniversitesi Fen Bilimleri Dergisi</journal-title>
            </journal-title-group>
                            <issn pub-type="ppub">2147-3129</issn>
                                        <issn pub-type="epub">2147-3188</issn>
                                                                                            <publisher>
                    <publisher-name>Bitlis Eren University</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.17798/bitlisfen.1840686</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Numerical Solution of Differential and Integral Equations</subject>
                                                            <subject>Numerical Analysis</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Diferansiyel ve İntegral Denklemlerin Sayısal Çözümü</subject>
                                                            <subject>Sayısal Analiz</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <article-title>Deriving the Error of Time Filtered Leapfrog Scheme  via Modified Equations</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-6514-9805</contrib-id>
                                                                <name>
                                    <surname>Güzel</surname>
                                    <given-names>Ahmet</given-names>
                                </name>
                                                                    <aff>BATMAN ÜNİVERSİTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20260324">
                    <day>03</day>
                    <month>24</month>
                    <year>2026</year>
                </pub-date>
                                        <volume>15</volume>
                                        <issue>1</issue>
                                        <fpage>480</fpage>
                                        <lpage>491</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20251212">
                        <day>12</day>
                        <month>12</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20260208">
                        <day>02</day>
                        <month>08</month>
                        <year>2026</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2012, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi</copyright-statement>
                    <copyright-year>2012</copyright-year>
                    <copyright-holder>Bitlis Eren Üniversitesi Fen Bilimleri Dergisi</copyright-holder>
                </permissions>
            
                                                                                                <abstract><p>The leapfrog (LF) scheme is a cornerstone of numerical weather prediction and large-scale atmospheric modeling due to its computational efficiency and ability to preserve the amplitude of pure oscillations during long integrations. However, the three-time-level nature of the LF method introduces a parasitic computational mode that can grow over time and contaminate physical solutions. Traditionally, the Robert-Asselin (RA) filter has been employed to suppress this mode, but it inadvertently damps the physical mode, reducing the LF scheme&#039;s formal accuracy from second to first order. This research provides a rigorous mathematical analysis of modern time filters—specifically the Robert Asselin (RA), Robert Asselin Williams (RAW), and higher-order Robert Asselin (hoRA) filters— using the method of modified equations to evaluate phase and amplitude errors. By solving the linear system for each filtered scheme, we derive equivalent linear multistep methods and their corresponding two-term modified equations.  Our findings confirm that the RAW filter significantly mitigates the physical mode damping of the RA filter, recovering second-order accuracy when parameters are optimally tuned (e.g., █(α=0.53)). Furthermore, the hoRA filter demonstrates even higher performance, attaining second-order accuracy generally and third-order accuracy for the specific choice of █(β=0.4). Numerical tests on the oscillation equation validate these theoretical derivations, showing that the hoRA filter yields the lowest amplitude and phase error magnitudes compared to the RA and RAW alternatives.</p></abstract>
                                                            
            
                                                            <kwd-group>
                                                    <kwd>Time Filter</kwd>
                                                    <kwd>  Modified Equations</kwd>
                                                    <kwd>  Leapfrog Method</kwd>
                                                    <kwd>  Error Analysis.</kwd>
                                            </kwd-group>
                            
                                                                                                                        </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">R. Bleck, “Short-range prediction in isentropic coordinates with filtered and unfiltered numerical models,” Mon. Wea. Rev., vol. 102, no. 12, pp. 813–829, 1974.</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">G. J. Haltiner and J. M. McCollough, “Experiments in the initialization of a global primitive equation model,” J. Appl. Meteor., vol. 14, no. 3, pp. 281–288, 1975.</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">M. Déqué and D. Cariolle, “Some destabilizing properties of the Asselin time filter,” Mon. Wea. Rev., vol. 114, no. 5, pp. 880–884, 2012/11/15 1986. [Online]. Available: https://doi.org/10.1175/1520-0493(1986)114&lt;0880:SDPOTA&gt;2.0.CO;2</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">A. Robert and M. L´epine, “An anomaly in the behaviour of the time filter used with the leapfrog scheme in atmospheric models,” Atmosphere-Ocean, vol. 35, no. sup2, pp. S3–S15, 1997.</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">R. E. Schlesinger, L. W. Uccellini, and D. R. Johnson, “The effects of the Asselin time filter on numerical solutions to the linearized shallow-water wave equations,” Mon. Wea. Rev., vol. 111, no. 3, pp. 455–467, 1983.</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">E. Cordero and A. Staniforth, “A problem with the Robert–Asselin time filter for three- time-level semi-implicit semi-lagrangian discretizations,” Mon. Wea. Rev., vol. 132, no. 2, pp. 600–610, 2004.</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">P. D. Williams, “A proposed modification to the Robert–Asselin time filter,” Mon. Wea. Rev., vol. 137, no. 8, pp. 2538–2546, 2009. [Online]. Available: http://dx.doi.org/10.1175/2009MWR2724.1</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">N. Hurl, W. Layton, Y. Li, and C. Trenchea, “Stability analysis of the Crank–Nicolson- Leapfrog method with the Robert–Asselin–Williams time filter,” BIT, vol. 54, no. 4, pp. 1009–1021, 2014. [Online]. Available: http://dx.doi.org/10.1007/s10543-014-0493-1</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">P. D. Williams, “Achieving seventh-order amplitude accuracy in leapfrog integrations,” Mon. Wea. Rev., vol. 141, pp. 3037–3051, 2013. [Online]. Available: http://dx.doi.org/10.1175/MWR-D-12-00303.1</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">J. Amezcua, E. Kalnay, and P. D. Williams, “The effects of the RAW filter on the climatology and forecast skill of the SPEEDY model,” Mon. Wea. Rev., vol. 139, no. 2, pp. 608–619, 2012/11/09 2011. [Online]. Available: http://dx.doi.org/10.1175/2010MWR3530.1</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">Y. Li and C. Trenchea, “Analysis of  time filters used with the leapfrog scheme,” in Proceedings of the VI Conference on Computational Methods for Coupled Problems in Science and Engineering, Venice, Italy, May 2015, pp. 1261–1272.</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">C.-C. Young, Y.-C. Liang, Y.-H. Tseng, and C.-H. Chow, “Characteristics of the RAW- filtered leapfrog time-stepping scheme in the ocean general circulation model,” Mon. Wea. Rev., vol. 142, no. 1, pp. 434–447, 2013.</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">Y.  Li  and  C.  Trenchea,  “A  higher-order  Robert–Asselin  type  time  filter,”  J.  Comput.  Phys.,vol.259,pp.23–32,2014.[Online].Available: https://doi.org/10.1016/j.jcp.2013.11.022</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">D. R. Durran, “The third-order Adams-Bashforth method: An attractive alternative to leapfrog time differencing,” Mon. Wea. Rev., vol. 119, no. 3, pp. 702–720, 1991. [Online]. Available: https://doi.org/10.1175/1520-0493(1991)119&lt;0702:TTOABM&gt;2.0.CO;2</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">A. Quarteroni, R. Sacco, and F. Saleri, Numerical mathematics, 2nd ed., ser. Texts in Applied Mathematics. Berlin: Springer-Verlag, 2007, vol. 37.</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">D. R. Durran, Numerical methods for fluid dynamics, 2nd ed., ser. Texts in Applied Mathematics. New York: Springer, 2010, vol. 32, with applications to geophysics. [Online]. Available: http://dx.doi.org/10.1007/978-1-4419-6412-0</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">E. Hairer, S. P. Nørsett, and G. Wanner, Solving ordinary differential equations. I, 2nd ed., ser. Springer Series in Computational Mathematics. Berlin: Springer-Verlag, 1993, vol. 8, nonstiff problems.</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">Y. Li and C. Trenchea, “Analysis of time filters used with the leapfrog scheme,” in Coupled Problems in Science and Engineering VI COUPLED PROBLEMS 2015, E. O. n. B. Schrefler and M. Papadrakakis, Eds. Barcelona, Spain: International Center for Numerical Methods in Engineering (CIMNE), april 2015, pp. 1261–1272.</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">D. F. Griffiths and D. J. Higham, Numerical methods for ordinary differential equations, ser. Springer Undergraduate Mathematics Series. Springer-Verlag London, Ltd., London, 2010, initial value problems. [Online]. Available: http://dx.doi.org/10.1007/978-0-85729-148-6</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">R. Asselin, “Frequency filter for time integrations,” Mon. Wea. Rev., 100(6), pp. 487-490, 1972.  https://doi.org/10.1175/1520-0493(1972)100&lt;0487:FFFTI&gt;2.3.CO;2</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">A. Guzel, “Higher Order Time Filters for Evolution Equations,” D-Scholarship@Pitt, Jun. 28, 2018. https://d-scholarship.pitt.edu/concern/etds/77efa379-a048-4032-9a81-2daf72c37334</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
