\documentclass[10pt]{article}

\usepackage{fullpage}
\usepackage{setspace}
\usepackage{parskip}
\usepackage{titlesec}
\usepackage[section]{placeins}
\usepackage{xcolor}
\usepackage{breakcites}
\usepackage{lineno}
\usepackage{hyphenat}





\PassOptionsToPackage{hyphens}{url}
\usepackage[colorlinks = true,
            linkcolor = blue,
            urlcolor  = blue,
            citecolor = blue,
            anchorcolor = blue]{hyperref}
\usepackage{etoolbox}
\makeatletter
\patchcmd\@combinedblfloats{\box\@outputbox}{\unvbox\@outputbox}{}{%
  \errmessage{\noexpand\@combinedblfloats could not be patched}%
}%
\makeatother


\usepackage{natbib}




\renewenvironment{abstract}
  {{\bfseries\noindent{\abstractname}\par\nobreak}\footnotesize}
  {\bigskip}

\titlespacing{\section}{0pt}{*3}{*1}
\titlespacing{\subsection}{0pt}{*2}{*0.5}
\titlespacing{\subsubsection}{0pt}{*1.5}{0pt}


\usepackage{authblk}


\usepackage{graphicx}
\usepackage[space]{grffile}
\usepackage{latexsym}
\usepackage{textcomp}
\usepackage{longtable}
\usepackage{tabulary}
\usepackage{booktabs,array,multirow}
\usepackage{amsfonts,amsmath,amssymb}
\providecommand\citet{\cite}
\providecommand\citep{\cite}
\providecommand\citealt{\cite}
% You can conditionalize code for latexml or normal latex using this.
\newif\iflatexml\latexmlfalse
\providecommand{\tightlist}{\setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}}%

\AtBeginDocument{\DeclareGraphicsExtensions{.pdf,.PDF,.eps,.EPS,.png,.PNG,.tif,.TIF,.jpg,.JPG,.jpeg,.JPEG}}

\usepackage[utf8]{inputenc}
\usepackage[english]{babel}



\usepackage{float}








\begin{document}

\title{Lagrangian Filtering: A novel method for separating internal waves from
non-wave flows in high-resolution simulations}



\author[1]{Callum J. Shakespeare}%
\author[2]{Angus H. Gibson}%
\author[2]{Andrew McC. Hogg}%
\author[3]{Shane Richard Keating}%
\author[4]{Scott Daniel Bachman}%
\author[2]{Nick Velzeboer}%
\affil[1]{Autralian National University}%
\affil[2]{Australian National University}%
\affil[3]{University of New South Wales}%
\affil[4]{NCAR}%


\vspace{-1em}



  
  \date{June 14, 2024}


\begingroup
\let\center\flushleft
\let\endcenter\endflushleft
\maketitle
\endgroup





\selectlanguage{english}
\begin{abstract}
Identifying internal waves in complex flow fields is a long-standing
problem in fluid dynamics, oceanography and atmospheric science, owing
to the overlap of internal waves temporal and spatial scales with other
flow regimes. Lagrangian filtering --- that is, temporal filtering in a
frame of reference moving with the flow --- is one proposed methodology
for performing this separation. Here we (i) describe a new
implementation of the Lagrangian filtering methodology and (ii)
introduce a freely available, parallelised Python package that applies
the method. We show that the package can be used to directly filter
output from a variety of common ocean models including MITgcm, ROMS and
MOM5 for both regional and global domains at high resolution. The
Lagrangian filtering is shown to be a useful tool to both identify (and
thereby quantify) internal waves, and to remove internal waves to
isolate the `balanced' flow field.%
\end{abstract}%



\sloppy




\selectlanguage{english}
\FloatBarrier
\end{document}

