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ice_analysis_slides.tex
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ice_analysis_slides.tex
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\documentclass[aspectratio=169, xcolor=table]{beamer}
\usepackage{multicol}
\usepackage{enumitem}
%\setlist[enumerate]{label=\arabic*.}% see https://tex.stackexchange.com/questions/24371/does-enumitem-conflict-with-beamer-for-lists/24491
\setenumerate[1]{label=\arabic*.}\newcounter{ResumeEnumerate}% see https://latex.org/forum/viewtopic.php?t=9362&start=10
\setitemize{label=\usebeamerfont*{itemize item}% see https://tex.stackexchange.com/questions/24371/does-enumitem-conflict-with-beamer-for-lists/24491
\usebeamercolor[fg]{itemize item}
\usebeamertemplate{itemize item}}
\usepackage[strings]{underscore} % allows hyphenation at underscores
\usepackage{datetime2}\DTMsetdatestyle{iso}
\usepackage{pgffor}
%\usepackage{ifthen}
%\newboolean{movies}\setboolean{movies}{true} % whether to embed movies - MAY NEED TO RUN TWICE!
%\usepackage{colortbl}
%\usepackage[table]{xcolor} % loads also ÈcolortblÇ
%\usepackage{colortbl}
\definecolor{lightblue}{rgb}{0.93,0.95,1.0}
%\rowcolors{2}{blue!4}{white}
%\rowcolors{1}{lightblue}{white}
%\usepackage{transparent}
% \usepackage{beamerthemesplit} // Activate for custom appearance
\usepackage{qrcode}
\usepackage{tabularx}
%\usepackage{media9}
\usepackage{sistyle} % TODO: replace with siunitx?
\usepackage{natbib}
% - from CTAN: http://www.ctan.org/tex-archive/macros/latex/contrib/movie15/
% see http://darkwing.uoregon.edu/~noeckel/PDFmovie.html
% [autoplay,autoresume,poster,repeat]
%\usepackage{movie15}
%\newcommand{\run}[1]{\small{\href{run:#1}{$\triangleright$}}}
%\ifthenelse{\boolean{movies}}
%{
%\newcommand{\postermoviewidth}[3]{\includemovie[mimetype=video/mpeg, controls=true, %autoplay,
%autopause, repeat, text={\includegraphics[width=#3]{#1}}]{#3}{}{#2}\\[-0.7ex]\hfill\run{#2}} % movie should play on page when clicked (this movie is embedded in the PDF). The triangle is a fallback to run the movie from a separate file in another window.
%}
%{
%\newcommand{\postermoviewidth}[3]{\href{run:#2}{\includegraphics[width=#3]{#1}}\\[-0.7ex]\hfill\tiny{\textbf{\href{run:#2}{\phantom{Click here to play the movie in a separate window}
%}}}\hfill \small{\href{run:#2}{$\triangleright$}}
%} % movie plays from a separate file in a separate window (not embedded in PDF).
%}
\usepackage{tikz}
\tikzset{
state/.style={
rectangle,
rounded corners,
draw=black, ultra thick,
minimum height=2em,
inner sep=2pt,
text centered,
text width=40ex
},
}
\usepackage[percent]{overpic}
\urlstyle{sf} % rm, sf, tt or same
% from http://www.kronto.org/thesis/tips/url-formatting.html
%% Define a new 'leo' style for the package that will use a smaller font.
\makeatletter
\def\url@leostyle{%
\@ifundefined{selectfont}{\def\UrlFont{\sf}}{\def\UrlFont{\normalsize\ttfamily}}}
\makeatother
%% Now actually use the newly defined style.
\urlstyle{leo}
\usepackage[scaled=.9]{inconsolata} % for texttt
\def\colorize<#1>{%
\temporal<#1>{\color{black!25}}{\color{red!75!black}}{\color{black}}}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% commands for making slides with figures
\newcommand{\pwidth}{0.495\textwidth}
\newcommand{\plotter}{}
\newcommand{\monthlymean}{1993-2017_mean_month_}
\newcommand{\years}{\monthlymean}
%\newcommand{\years}{2016-2017}
\newcommand{\plotnocbar}[2][.495\textwidth]{% #1=width (optional), #2=file
\includegraphics[width=#1, trim=45 90 45 7, clip]{#2}
}
\newcommand{\cbar}[2][.495\textwidth]{% #1=width (optional), #2=file
\includegraphics[width=#1, trim=30 7 30 417, clip]{#2}
}
\newcommand{\cbarrot}[2][.495\textwidth]{% #1=width (optional), #2=file
\includegraphics[width=#1, trim=30 7 30 417, clip, angle=90]{#2}
}
% these 3 commands are identical apart from bb
\newcommand{\iceplot}[5][.495\textwidth]{% #1=width (optional), #2=view, #3=variable, #4=experiment, #5=date
\includegraphics[width=#1, trim=45 9 45 7, clip]{figs/#2_#3_#4_\years #5_200dpi.png}
}
\newcommand{\iceplotnocbar}[5][.495\textwidth]{% #1=width (optional), #2=view, #3=variable, #4=experiment, #5=date
%\includegraphics[width=#1, trim=45 90 45 7, clip]{figs/#2_#3_#4_\years #5_200dpi.png}
\plotnocbar[#1]{figs/#2_#3_#4_\years #5_200dpi.png}
}
\newcommand{\icecbar}[5][.495\textwidth]{% #1=width (optional), #2=view, #3=variable, #4=experiment, #5=date
%\includegraphics[width=#1, trim=30 7 30 417, clip]{figs/#2_#3_#4_\years #5_200dpi.png}
\cbar[#1]{figs/#2_#3_#4_\years #5_200dpi.png}
}
\newcommand{\icecbarrot}[5][.495\textwidth]{% #1=width (optional), #2=view, #3=variable, #4=experiment, #5=date
%\includegraphics[width=#1, trim=30 7 30 417, clip, angle=90]{figs/#2_#3_#4_\years #5_200dpi.png}
\cbarrot[#1]{figs/#2_#3_#4_\years #5_200dpi.png}
}
\newcommand{\sicthreepanels}[6]{% #1=view, #2=variable, #3=experiment1, #4=experiment2, #5=experiment3, #6=date
\frame{
\hfill\iceplotnocbar[.32\textwidth]{#1}{#2}{#3}{#6}%
\iceplotnocbar[.32\textwidth]{#1}{#2}{#4}{#6}%
\iceplotnocbar[.32\textwidth]{#1}{#2}{#5}{#6}\hfill\phantom{\quad}\\
\phantom{\quad}\hfill\icecbar{#1}{#2}{#3}{#6}\hfill\phantom{\quad}%
}}
\newcommand{\sicthreepanelsall}[5]{% #1=view, #2=variable, #3=experiment1, #4=experiment2, #5=experiment3
\renewcommand{\years}{\monthlymean}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{01}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{02}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{03}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{04}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{05}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{06}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{07}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{08}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{09}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{10}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{11}
\sicthreepanels{#1}{#2}{#3}{#4}{#5}{12}
}
%%\newcommand{\sicfourpanels}[7]{% #1=view, #2=variable, #3=experiment1, #4=experiment2, #5=experiment3, #6=experiment4, #7=date
%\newcommand{\sicfourpanels}[8][.28\textwidth]{% #1=width (optional), #2=view, #3=variable, #4=experiment1, #5=experiment2, #6=experiment3, #7=experiment4, #8=date
%\frame{
%\hfill\iceplotnocbar[#1]{#2}{#3}{#4}{#8}%
%\iceplotnocbar[#1]{#2}{#3}{#5}{#8}\hfill\phantom{\quad}\\
%\hfill\iceplotnocbar[#1]{#2}{#3}{#6}{#8}%
%\iceplotnocbar[#1]{#2}{#3}{#7}{#8}\hfill\phantom{\quad}\\
%\phantom{\quad}\hfill\icecbar{#2}{#3}{#4}{#8}\hfill\phantom{\quad}%
%}}
\newcommand{\sicfourpanels}[9]{% #1=view, #2=variable, #3=experiment1, #4=experiment2, #5=experiment3, #6=experiment4, #7=date, #8=datestr, #9=title
\frame{
\frametitle{#9\\#8\phantom{y}}
\vspace{-10ex}
\begin{minipage}[c]{0.2\textwidth}
\begin{flushright}
\textbf{GIOMAS}\\
{\small (DA model)}\\
\vspace{5ex}
\textbf{0.25$^\circ$}\\
{\small ACCESS-OM2-025}
\vspace{5ex}
\end{flushright}
\end{minipage}%
\hfill
\begin{minipage}[c]{0.58\textwidth}
\iceplotnocbar[.49\textwidth]{#1}{#2}{#3}{#7}\hfill%
\iceplotnocbar[.49\textwidth]{#1}{#2}{#4}{#7}\\
\iceplotnocbar[.49\textwidth]{#1}{#2}{#5}{#7}\hfill%
\iceplotnocbar[.49\textwidth]{#1}{#2}{#6}{#7}\\
\phantom{\quad}\hfill\icecbar[0.8\textwidth]{#1}{#2}{#3}{#7}\hfill\phantom{\quad}%
\end{minipage}%
\hfill
\begin{minipage}[c]{0.2\textwidth}
\begin{flushleft}
\textbf{1$^\circ$}\\
{\small ACCESS-OM2}\\
\vspace{4ex}
\textbf{0.1$^\circ$}\\
{\small ACCESS-OM2-01}
\vspace{7ex}
\end{flushleft}
\end{minipage}
}}
%\sicfourpanels{Amundsen-Bellingshausen}{aice}{025deg_jra55_iaf_amoctopo_cycle1}
%\sicfourpanels{SH}{hi_m_mm}{GIOMAS}{1deg_jra55_iaf_omip2-fixed_cycle1}{025deg_jra55_iaf_amoctopo_cycle1}{01deg_jra55v140_iaf_cycle1}{01}{1993--2017\\[-1ex]January mean}{SI thickness}
%
%
%\end{document}
\newcommand{\sicfourpanelsall}[6]{% #1=view, #2=variable, #3=experiment1, #4=experiment2, #5=experiment3, #6=experiment4
\renewcommand{\years}{\monthlymean}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{01}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{02}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{03}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{04}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{05}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{06}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{07}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{08}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{09}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{10}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{11}
%\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{12}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{01}{1993--2017\\[-1ex]January mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{02}{1993--2017\\[-1ex]February mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{03}{1993--2017\\[-1ex]March mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{04}{1993--2017\\[-1ex]April mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{05}{1993--2017\\[-1ex]May mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{06}{1993--2017\\[-1ex]June mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{07}{1993--2017\\[-1ex]July mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{08}{1993--2017\\[-1ex]August mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{09}{1993--2017\\[-1ex]September mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{10}{1993--2017\\[-1ex]October mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{11}{1993--2017\\[-1ex]November mean}{SI thickness}
\sicfourpanels{#1}{#2}{#3}{#4}{#5}{#6}{12}{1993--2017\\[-1ex]December mean}{SI thickness}
}
\newcommand{\sicsixpanelsJRAcompare}[9][.32\textwidth]{% #1=width (optional), #2=view, #3=model view, var & experiment, #4-#8=JRAvars, #9=date
\frame{
\hfill%
\includegraphics[width=#1, trim=45 9 45 7, clip]{figs/#3_#9_200dpi.png}\hfill%
\includegraphics[width=#1, trim=45 9 45 7, clip]{figs/#2_#4_d_JRA55-do_#9_200dpi.png}\hfill%
\includegraphics[width=#1, trim=45 9 45 7, clip]{figs/#2_#5_d_JRA55-do_#9_200dpi.png}\hfill\phantom{x}%
\\\hfill%
\includegraphics[width=#1, trim=45 9 45 7, clip]{figs/#2_#6_d_JRA55-do_#9_200dpi.png}\hfill%
\includegraphics[width=#1, trim=45 9 45 7, clip]{figs/#2_#7_d_JRA55-do_#9_200dpi.png}\hfill%
\includegraphics[width=#1, trim=45 9 45 7, clip]{figs/#2_#8_d_JRA55-do_#9_200dpi.png}\hfill\phantom{x}%
}}
\newcommand{\siccompare}[3]{% #1=view, #2=experiment, #3=date
\frame{
\iceplotnocbar{#1}{aice_m_mm}{#2}{#3}\hfill%
\iceplotnocbar{#1}{aice}{obs}{#3}\\
\phantom{\quad}\hfill\icecbar{#1}{aice_m_mm}{#2}{#3}\hfill\phantom{\quad}%
}}
%\newcommand{\siccomparefour}[5]{% #1=view, #2=experiment1, #3=experiment2, #4=experiment3, #5=date
%\frame{
%\hfill\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{#2}{#5}%
%\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{#3}{#5}\hfill\phantom{\quad}\\
%\hfill\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{#4}{#5}%
%\iceplotnocbar[.28\textwidth]{#1}{aice}{obs}{#5}\hfill\phantom{\quad}\\
%\phantom{\quad}\hfill\icecbar{#1}{aice_m_mm}{#2}{#5}\hfill\phantom{\quad}%
%}}
%\newcommand{\siccomparefour}[7]{% #1=view, #2=experiment1, #3=experiment2, #4=experiment3, #5=date, #6=datestr, #7=title
%\frame{
%\frametitle{#7\hfill #6}
%
%\vspace{-4ex}
%\hfill NOAA passive microwave \iceplotnocbar[.28\textwidth]{#1}{aice}{obs}{#5}%
%\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{#2}{#5} 1$^\circ$\hfill\phantom{\quad}\\
%\hfill 0.25$^\circ$ \iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{#3}{#5}%
%\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{#4}{#5} 0.1$^\circ$\hfill\phantom{\quad}\\
%\phantom{\quad}\hfill\icecbar{#1}{aice_m_mm}{#2}{#5}\hfill\phantom{\quad}%
%}}
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\frame{
\frametitle{#7\\#6\phantom{y}}
\vspace{-10ex}
\begin{minipage}[c]{0.2\textwidth}
\begin{flushright}
\textbf{Observational estimate}\\
{\small (NOAA passive microwave)}\\
\vspace{5ex}
\textbf{0.25$^\circ$}\\
{\small ACCESS-OM2-025}
\vspace{5ex}
\end{flushright}
\end{minipage}%
\hfill
\begin{minipage}[c]{0.58\textwidth}
\iceplotnocbar[.49\textwidth]{#1}{aice}{obs}{#5}\hfill%
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\hfill
\begin{minipage}[c]{0.2\textwidth}
\begin{flushleft}
\textbf{1$^\circ$}\\
{\small ACCESS-OM2}\\
\vspace{5ex}
\textbf{0.1$^\circ$}\\
{\small ACCESS-OM2-01}
\vspace{5ex}
\end{flushleft}
\end{minipage}
}}
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%\hfill\phantom{\quad}%
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%\phantom{\quad}\hfill
\icecbar{#1}{aice_m_mm}{#2_cycle1}{#3}\hfill\icecbar{#1}{aice_m_mm}{#2_cycle2-cycle1}{#3}
%\hfill\phantom{\quad}%
}}
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%\phantom{\quad}\hfill
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%\hfill\phantom{\quad}%
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}
%
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%}
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\siccomparethreecyclesdiff{#1}{#2}{11}
\siccomparethreecyclesdiff{#1}{#2}{12}
}
\newcommand{\siccomparesixcyclesall}[3]{% #1=view, #2=experiment
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\siccomparesixcycles{#1}{#2}{01}
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\siccomparesixcycles{#1}{#2}{11}
\siccomparesixcycles{#1}{#2}{12}
}
\newcommand{\siccomparesixcyclesdiffall}[3]{% #1=view, #2=experiment
\renewcommand{\years}{\monthlymean}
\siccomparesixcyclesdiff{#1}{#2}{01}
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\siccomparesixcyclesdiff{#1}{#2}{05}
\siccomparesixcyclesdiff{#1}{#2}{06}
\siccomparesixcyclesdiff{#1}{#2}{07}
\siccomparesixcyclesdiff{#1}{#2}{08}
\siccomparesixcyclesdiff{#1}{#2}{09}
\siccomparesixcyclesdiff{#1}{#2}{10}
\siccomparesixcyclesdiff{#1}{#2}{11}
\siccomparesixcyclesdiff{#1}{#2}{12}
}
\newcommand{\siccomparefivecyclesdiffall}[3]{% #1=view, #2=experiment
\renewcommand{\years}{\monthlymean}
\siccomparefivecyclesdiff{#1}{#2}{01}
\siccomparefivecyclesdiff{#1}{#2}{02}
\siccomparefivecyclesdiff{#1}{#2}{03}
\siccomparefivecyclesdiff{#1}{#2}{04}
\siccomparefivecyclesdiff{#1}{#2}{05}
\siccomparefivecyclesdiff{#1}{#2}{06}
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\siccomparefivecyclesdiff{#1}{#2}{08}
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\siccomparefivecyclesdiff{#1}{#2}{10}
\siccomparefivecyclesdiff{#1}{#2}{11}
\siccomparefivecyclesdiff{#1}{#2}{12}
}
% for perturbation experiments %%%%%%%%%%%%%%%%
\newcommand{\sicsixpanelspertcompare}[9][.29\textwidth]{% #1=width (optional), #2=view, #3=model var & control, #4-#8=perturbations, #9=month
\frame{
\hfill%
%SH_aice_m_mm_1deg_jra55_iaf_ensemble_turning_angle_9_-control_1993-2017_mean_month_12_200dpi
\includegraphics[width=#1, trim=45 90 45 7, clip]{{figs/#2_aice_obs_1993-2017_mean_month_#9_200dpi}.png}\hfill% obs
%\includegraphics[width=#1, trim=45 90 45 7, clip]{figs/#2_#3_1993-2017_mean_month_#9_200dpi.png}\hfill% control
\includegraphics[width=#1, trim=45 90 45 7, clip]{{figs/#2_#3#4_1993-2017_mean_month_#9_200dpi}.png}\hfill%
\includegraphics[width=#1, trim=45 90 45 7, clip]{{figs/#2_#3#5_1993-2017_mean_month_#9_200dpi}.png}\hfill\phantom{x}%
\\\hfill%
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\includegraphics[width=#1, trim=45 90 45 7, clip]{{figs/#2_#3#8_1993-2017_mean_month_#9_200dpi}.png}\hfill\phantom{x}\\
%\phantom{\quad}\hfill
\includegraphics[width=.495\textwidth, trim=30 7 30 417, clip]{{figs/#2_#3#4_1993-2017_mean_month_#9_200dpi}.png}%
\hfill\includegraphics[width=.495\textwidth, trim=30 7 30 417, clip]{{figs/#2_#3#8_1993-2017_mean_month_#9_200dpi}.png}%\phantom{\quad}%
}}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\newcommand{\sicobssixpanels}[2]{% #1=view, #2=date
\frame{
\hfill\iceplotnocbar[.28\textwidth]{#1}{aice}{obs}{#2}
\iceplotnocbar[.28\textwidth]{#1}{siconc}{mm}{#2}
\iceplotnocbar[.28\textwidth]{#1}{siconca}{mm}{#2}\hfill\phantom{\quad}\\
\hfill\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{1deg_jra55_iaf_ensemble}{#2}
\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{025deg_jra55_iaf_ensemble}{#2}
\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{01deg_jra55v140_iaf_cycle3}{#2}\hfill\phantom{\quad}\\
\phantom{\quad}\hfill\icecbar{#1}{aice_m_mm}{1deg_jra55_iaf_ensemble}{#2}\hfill\phantom{\quad}%
}}
\newcommand{\sicobssixpanelsbias}[2]{% #1=view, #2=date
%\newcommand{\monthlymean}{1993-2017_mean_month_}
%\renewcommand{\years}{1993-2017_bias_month_}
%\renewcommand{\years}{\monthlymean}
\frame{
\hfill\icecbarrot[.28\textwidth]{#1}{aice_m_mm}{1deg_jra55_iaf_ensemble}{#2}%
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\iceplotnocbar[.28\textwidth]{#1}{aice_m_mm}{01deg_jra55v140_iaf_cycle3-obs}{#2}%\hfill\phantom{\quad}\\
%\phantom{\quad}\hfill
\icecbarrot[.28\textwidth]{#1}{aice_m_mm}{1deg_jra55_iaf_omip2_cycle3-obs}{#2}%\hfill\phantom{\quad}%
}}
%\newcommand{\iceplotnocbar}[5][.495\textwidth]{% #1=width (optional), #2=view, #3=variable, #4=experiment, #5=date
%\includegraphics[width=#1, trim=45 90 45 7, clip]{figs/#2_#3_#4_\years #5_200dpi.png}
%}
%\newcommand{\plotnocbar}[2][.495\textwidth]{% #1=width (optional), #2=file
%\includegraphics[width=#1, trim=45 90 45 7, clip]{#2}
%}
%\usebackgroundtemplate{{\centering \includegraphics[width=\paperwidth,keepaspectratio=true]{figures/southern-ocean-faint.png}\par}}
%\usebackgroundtemplate{{\centering \includegraphics[width=1.2\textwidth,keepaspectratio=true]{figures/01deg_jra55v13_ryf8485_spinup6_ACC_oceanspeed_0026-05-28-background.png}\par}}
%\usebackgroundtemplate{{\centering \includegraphics[width=1.2\textwidth, decodearray={0.1 1.6 0.1 1.6 0.1 1.6}, trim=10 0 0 25, clip, keepaspectratio=true]{figs/Amundsen-Bellingshausen_mld_01deg_jra55v140_iaf_cycle1_2017-01-16_200dpi.png}\par}} % decodearray doesn't work in Acrobat
%\usebackgroundtemplate{{\centering \includegraphics[width=1.2\textwidth, trim=10 0 0 25, clip, keepaspectratio=true]{Amundsen-Bellingshausen_mld_01deg_jra55v140_iaf_cycle1_2017-01-16_200dpi-darker.png}\par}} % decodearray doesn't work in Acrobat
%\title[ACCESS-OM2 ocean-ice model: progress and plans\hspace{0.5\textwidth}\textbf{{\footnotesize\url{cosima.org.au}}}]
\title%[ACCESS-OM2]
{\LARGE\textbf{ACCESS-OM2 sea ice analysis}}
\author{Andrew Kiss\\
\today\ \DTMcurrenttime\\[4ex]
latest PDF: \url{https://www.dropbox.com/sh/co9ge6vnqzyjie1/AABXBvaKQhtSvWHA5tTWSfEpa}\\[2ex]
%latest source version: \url{https://github.com/aekiss/ice_analysis}\\[2ex]
%all figures: \texttt{/g/data/v45/aek156/notebooks/github/aekiss/ice_analysis/figs}
}
%\vspace{4ex}
\date{}
%\date{\textcolor{white}{AMOS Annual Conference, 8--12 Feb 2021}}
\usetheme[width=0pt]{Marburg}
%\usetheme{Rochester}
%\usetheme{Dresden}
\setbeamertemplate{navigation symbols}{}
%\rowcolors{1}{lightblue}{white}
\begin{document}
\frame{\titlepage}
\usebackgroundtemplate{}
\begin{frame}
\frametitle{Outline}
\begin{multicols}{2}
\tableofcontents
\end{multicols}
\end{frame}
\section{ERA5-forced runs}
\subsection{SIC under ERA5 vs.\ JRA55-do forcing}
\frame{
\frametitle{SIC under ERA5 vs.\ JRA55-do forcing}
{\tiny
\begin{itemize}
\item Biases in ERA5-forced run (cycle 1) are very similar (though generally worse) those in JRA55-do-forced run (cycle3)
\item ERA5-forced SIC generally lower than JRA55-do-forced (more likely to have negative bias)
\item Summer low SIC bias is worse under ERA5 forcing
\item Similar results at 1$^\circ$ and 0.25$^\circ$
\end{itemize}
}
}
\renewcommand{\pwidth}{0.242\textwidth}
\renewcommand{\plotter}[2]{% #1=view, #2=date
\frame{
\hfill
\cbarrot[\pwidth]{figs/#1_aice_obs_1993-2017_mean_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_aice_obs_1993-2017_mean_month_#2_200dpi.png}%
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\plotnocbar[\pwidth]{figs/#1_aice_m_mm_1deg_era5_iaf_cycle1_1993-2017_mean_month_#2_200dpi.png}\\
\hfill
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\plotnocbar[\pwidth]{figs/#1_aice_m_mm_1deg_era5_iaf_cycle1-obs_1993-2017_mean_month_#2_200dpi.png}
}}
\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}}
%\foreach \m in {01}{\plotter{SH}{\m}}
\renewcommand{\pwidth}{0.242\textwidth}
\renewcommand{\plotter}[2]{% #1=view, #2=date
\frame{
\hfill
\cbarrot[\pwidth]{figs/#1_aice_obs_1993-2017_mean_month_#2_200dpi.png}%
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\hfill
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}}
\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}}
%\foreach \m in {01}{\plotter{SH}{\m}}
\end{document}
\section{JRA55 and JRA55-do vs ERA5}
\frame{
\frametitle{JRA55 and JRA55-do vs ERA5}
\begin{itemize}
\item The JRA55 reanalysis uses observed COBE-SST SIC thresholded at 55\%. The resulting sharp edge and anomalously low SAT are ameliorated by ad-hoc smoothing and a floor applied to SAT in JRA55-do \citep[][sec 3.3.4]{TsujinoETAL2018a}. %(see \href{https://www.sciencedirect.com/science/article/pii/S146350031830235X}{Tsujino et al. 2018 }).
\item Next slide: biases of JRA55-do (top row) and JRA55 (bottom row) relative to ERA5 for Feb, April, Sept, Nov. Contours are 15\% SIC (gray=obs, colours=ACCESS-OM2 at 1, 0.25, 0.1 deg) and model land mask (thick black).
\item JRA55-do is generally closer to ERA5 than JRA55 is, but the adjustments seem overdone in the Atlantic and Indian sectors and underdone in the Pacific, at least in Apr-Nov.
\item ERA5 is biased warm relative to obs in the Weddell Sea \citep{KingMarshallColwellArndtAllenSaderPhillips2022a}, so these JRA55-do SAT biases might explain the pattern of SIC biases in ACCESS-OM2
\end{itemize}
}
\renewcommand{\pwidth}{0.243\textwidth}
\frame{
\plotnocbar[\pwidth]{figs/SH_JRA55-do_tas_mm-ERA5_t2m_mm_1993-2017_mean_month_02_200dpi.png}%
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\plotnocbar[\pwidth]{figs/SH_JRA55_tas_mm-ERA5_t2m_mm_1993-2017_mean_month_04_200dpi.png}%
\plotnocbar[\pwidth]{figs/SH_JRA55_tas_mm-ERA5_t2m_mm_1993-2017_mean_month_09_200dpi.png}%
\plotnocbar[\pwidth]{figs/SH_JRA55_tas_mm-ERA5_t2m_mm_1993-2017_mean_month_11_200dpi.png}\\
\hfill\cbar[0.5\textwidth]{figs/SH_JRA55-do_tas_mm-ERA5_t2m_mm_1993-2017_mean_month_02_200dpi.png}\hfill\phantom{x}%
}
%\end{document}%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{GIOMAS}
\subsection{GIOMAS as ``truth''}
\frame{
\frametitle{Assessing GIOMAS as ``truth''}
{\tiny
\begin{itemize}
\item \href{http://psc.apl.washington.edu/zhang/Global_seaice/index.html}{GIOMAS} is from a coupled ocean-sea ice model \citep{ZhangRothrock2003a} which assimilates sea ice concentration observations (and nothing else)
\item GIOMAS SIC more accurate than ACCESS-OM2 (compared to NSIDC obs)
\begin{itemize}
\item column 3: climatological bias is much smaller than for ACCESS-OM2
\item lower left: ACCESS-OM2 bias relative to GIOMAS captures most of bias of ACCESS-OM2 relative to obs (bottom row, column 3)
\item column 4 (bivariate histograms): point-by-point monthly mean interannual variation vastly better in GIOMAS SIC than ACCESS-OM2 (due to DA)
\end{itemize}
\item GIOMAS also provides estimates of SIT, snow thickness, ice velocity, etc.
\begin{itemize}
\item use GIOMAS as ``truth'' for ACCESS-OM2 comparison in following sections
\item trust/hope that good SIC indicates other fields are also reasonable - TODO: compare GIOMAS thickness to obs, e.g.\citet{KacimiKwok2020a}, \citet{WorbySteerLieserHeilYiMarkusAllisonMassomGalin2011a}, \citet{WorbyGeigerPagetVan-WoertAckleyDeLiberty2008a}; also compare with SOSE? and LEGOS/CTOH \url{https://sealevel.colorado.edu/link/legos-ctoh} Ka-Ku band altimetry-derived SIT and SNOWH? see \url{https://cosima.org.au/wp-content/uploads/2022/12/Zhaohui-Wang-SIT_SNOWH_NWP_COSMIA_poster-2022-11-25-14.16.pdf}
\end{itemize}
\end{itemize}
}
- May need to rethink this --- Siobhan's student Zhaohui Wang found \textbf{GIOMAS Antarctic thickness is wrong} due to not including snow, and ACCESS-OM2-01 is closer to obs than GIOMAS! %. - see email to Siobhan 3 Aug 2023.
}
\renewcommand{\pwidth}{0.242\textwidth}
\renewcommand{\plotter}[2]{% #1=view, #2=date
\frame{
\hfill
%\cbarrot[\pwidth]{figs/#1_aice_obs_1993-2017_mean_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_aice_obs_1993-2017_mean_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_aice_m_GIOMAS_1993-2017_mean_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_aice_m_GIOMAS-obs_1993-2017_mean_month_#2_200dpi.png}%
%\cbarrot[\pwidth]{figs/#1_aice_m_GIOMAS-obs_1993-2017_mean_month_#2_200dpi.png}%
\includegraphics[width=\pwidth]{figs/#1_aice_m_GIOMAS_hist_vs_obs_1993-2017_month_#2_200dpi.png}\\
\hfill
\plotnocbar[\pwidth]{figs/#1_aice_m_mm_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_mean_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_aice_m_mm_1deg_jra55_iaf_ensemble_1993-2017_mean_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_aice_m_mm_1deg_jra55_iaf_ensemble_cycle1-obs_1993-2017_mean_month_#2_200dpi.png}%
\includegraphics[width=\pwidth]{figs/#1_aice_m_1deg_jra55_iaf_ensemble_cycle1_hist_vs_obs_1993-2017_month_#2_200dpi.png}\\
%\hfill
\cbar[\pwidth]{figs/#1_aice_m_mm_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_mean_month_#2_200dpi.png}%
\cbar[\pwidth]{figs/#1_aice_obs_1993-2017_mean_month_#2_200dpi.png}%
\cbar[\pwidth]{figs/#1_aice_m_mm_1deg_jra55_iaf_ensemble_cycle1-obs_1993-2017_mean_month_#2_200dpi.png}%
\hfill\phantom{x}
}}
\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}}
%\foreach \m in {01}{\plotter{SH}{\m}}
%\foreach \m in {}{\plotter{SH}{\m}}
\subsection{Ice thickness bias vs.\ GIOMAS}
\frame{
\frametitle{Ice thickness bias vs.\ GIOMAS}
\begin{itemize}
\item ice too thin in most locations in all months
\item SIT bias pattern resembles SIC bias in Jan--Mar but not other months
\item SIT too thin nearly everywhere in winter, despite relatively unbiased SIC
\begin{itemize}
\item \textbf{thin winter SIT sets the stage for overly-rapid SIC decline in spring?} (ice mass loss is dominated by basal melt)
\end{itemize}
\item Middle column: MAD* pattern mirrors pattern of large absolute climatological bias --- suggests MAD due more to climatological bias than interannual variability
\item histograms of point-by-point monthly mean SIT interannual variation
\begin{itemize}
\item no pointwise interannual SIT correlation in Dec--Mar (large bias and/or interannual variability)
\item SIT correlation April--Nov (reduced interannual variability in high SIT regions?): initially about 60\% of GIOMAS SIT (Apr--May), then thicker ice ($>$1m) thickens quickly to match GIOMAS in July--Nov --- \textbf{different SIT growth processes? thermo for thin/early vs.\ ridging for thick/older??}
\end{itemize}
\end{itemize}
{\footnotesize *MAD = mean absolute deviation: mean(abs(model-GIOMAS)) for each month, using monthly mean data for each year: captures bias in both monthly climatology and interannual variability}
}
\renewcommand{\pwidth}{0.3\textwidth}
\renewcommand{\plotter}[3]{% #1=view, #2=date, #3=var
\frame{
\plotnocbar[\pwidth]{figs/#1_#3_m_GIOMAS_1993-2017_mean_month_#2_200dpi.png}\hfill%
\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_MAD_month_#2_200dpi.png}%
\cbarrot[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_MAD_month_#2_200dpi.png}%
\includegraphics[width=\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_cycle1_hist_vs_GIOMAS_1993-2017_month_#2_200dpi.png}\\
\plotnocbar[\pwidth]{figs/#1_#3_m_mm_1deg_jra55_iaf_ensemble_cycle1_1993-2017_mean_month_#2_200dpi.png}\hfill%
\plotnocbar[\pwidth]{figs/#1_#3_m_mm_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_mean_month_#2_200dpi.png}\hfill%
\plotnocbar[\pwidth]{figs/#1_aice_m_mm_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_mean_month_#2_200dpi.png}\hfill%
%\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_RMSE_month_#2_200dpi.png}\\%
\cbar[\pwidth]{figs/#1_#3_m_mm_1deg_jra55_iaf_ensemble_cycle1_1993-2017_mean_month_#2_200dpi.png}\hfill%
\cbar[\pwidth]{figs/#1_#3_m_mm_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_mean_month_#2_200dpi.png}\hfill%
\cbar[\pwidth]{figs/#1_aice_m_mm_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_mean_month_#2_200dpi.png}\hfill%
%\cbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_RMSE_month_#2_200dpi.png}
}}
\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}{hi}}
%\foreach \m in {01}{\plotter{SH}{\m}{hi}}
%\foreach \m in {}{\plotter{SH}{\m}{hi}}
\subsection{Snow thickness bias vs.\ GIOMAS}
\frame{
\frametitle{Snow thickness bias vs.\ GIOMAS --- similar to SIT}
\begin{itemize}
\item snow bias pattern resembles SIC bias in Feb--Mar but not other months
\item snow too thin in most locations in all months
\begin{itemize}
\item \textbf{low JRA55-do snow precip, or excessive snow-ice production due to thin ice (low freeboard)?}
\item \textbf{thin snow reduces albedo, increasing summer melt?} (ice mass loss is dominated by basal melt, but is ~20\% top melt in Dec)
\end{itemize}
\item Middle column: monthly interannual absolute deviation (MAD) pattern mirrors pattern of large absolute climatological bias --- suggests MAD due more to climatological bias than interannual variability
\item histograms of point-by-point monthly mean snow interannual variation
\begin{itemize}
\item no pointwise interannual now correlation in Dec--Mar (large bias and/or interannual variability)
\item some correlation May--Nov (reduced interannual variability in snowy regions?): initially about 60\% of GIOMAS snow (May--June), then thicker snow ($>$0.3m) thickens to about 80\% of GIOMAS in Aug--Oct
\end{itemize}
\end{itemize}
}
\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}{hs}}
%\foreach \m in {01}{\plotter{SH}{\m}{hs}}
%\foreach \m in {}{\plotter{SH}{\m}{hs}}
\subsection{Ice concentration MAD vs.\ turning angle}
\frame{
\frametitle{Ice concentration MAD vs.\ turning angle (cf.\ GIOMAS)}
\begin{itemize}
\item top left: control case mean absolute deviation (MAD) with respect to GIOMAS
\item the rest: MAD difference from control at different turning angles (blue is an improvement) -- NB: different scale
\item MAD change has the same pattern but increasing magnitude with increasing turning angle
\item Jan--April: MAD improves (blue) over most of the area as turning angle increases, but worsens (red) in Weddell gyre and coastal Ross, Amundsen Bellingshausen and King Haakon seas
\item May--June: MAD mostly improves in outer ice (better placement of 15\% SIC contour) but worsens in coastal E.\ Antarctic
\item July--Dec:
\begin{itemize}
\item MAD changes increase in magnitude over July--Dec
\item Outer ice change becomes mixed improvement/deterioration
\item Mid-pack deterioration increases to cover most of the area
\item Improvement in coastal East Antarctic
\end{itemize}
\end{itemize}
}
\renewcommand{\pwidth}{0.3\textwidth}
\renewcommand{\plotter}[3]{% #1=view, #2=date, #3=var
\frame{
\cbarrot[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_MAD_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_cycle1-GIOMAS_1993-2017_MAD_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_turning_angle_5_cycle1-GIOMAS_1993-2017_MAD-control_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_turning_angle_10_cycle1-GIOMAS_1993-2017_MAD-control_month_#2_200dpi.png}\\
\cbarrot[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_turning_angle_26_cycle1-GIOMAS_1993-2017_MAD-control_month_#2_200dpi.png}%
%\cbarrot[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_turning_angle_5_cycle1-GIOMAS_1993-2017_MAD-control_month_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_turning_angle_16_cycle1-GIOMAS_1993-2017_MAD-control_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_turning_angle_20_cycle1-GIOMAS_1993-2017_MAD-control_month_#2_200dpi.png}%
\plotnocbar[\pwidth]{figs/#1_#3_m_1deg_jra55_iaf_ensemble_turning_angle_26_cycle1-GIOMAS_1993-2017_MAD-control_month_#2_200dpi.png}%
}}
\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}{aice}}
%\foreach \m in {}{\plotter{SH}{\m}{aice}}
\subsection{Ice thickness MAD vs.\ turning angle}
\frame{
\frametitle{Ice thickness MAD vs.\ turning angle (cf.\ GIOMAS)}
\begin{itemize}
\item top left: control case mean absolute deviation (MAD) with respect to GIOMAS
\item the rest: MAD difference from control at different turning angles (blue is an improvement) -- NB: different scale
\item MAD change has the same pattern but increasing magnitude with increasing turning angle
\item Jan--March: MAD improves (blue) in most of outer ice and southwest Weddell, but worsens (red) in coastal areas and Weddell gyre
\item April--Dec:
\begin{itemize}
\item MAD changes increase in magnitude over April--Nov
\item Outer and mid ice change is mostly deterioration; grows to cover most of the area
\item Improvement in most coastal areas
\end{itemize}
\end{itemize}
}
\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}{hi}}
%\foreach \m in {}{\plotter{SH}{\m}{hi}}
%\end{document}
\subsection{Snow thickness MAD vs.\ turning angle}
\frame{
\frametitle{Snow thickness MAD vs.\ turning angle (cf.\ GIOMAS)}
}
%\foreach \m in {01,02,03,04,05,06,07,08,09,10,11,12}{\plotter{SH}{\m}{hs}}
\section{Background}
\newcommand{\multifig}[1]% #1=expt
{
\includegraphics<1>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-01_200dpi}%
%\includegraphics<2>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-02_200dpi}%
%\includegraphics<3>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-03_200dpi}%
\includegraphics<2>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-04_200dpi}%
%\includegraphics<5>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-05_200dpi}%
%\includegraphics<6>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-06_200dpi}%
\includegraphics<3>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-07_200dpi}%
%\includegraphics<8>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-08_200dpi}%
%\includegraphics<9>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-09_200dpi}%
\includegraphics<4>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-10_200dpi}%
%
%\includegraphics<1>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-01_200dpi}%
%\includegraphics<2>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-02_200dpi}%
%\includegraphics<3>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-03_200dpi}%
%\includegraphics<4>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-04_200dpi}%
%\includegraphics<5>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-05_200dpi}%
%\includegraphics<6>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-06_200dpi}%
%\includegraphics<7>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-07_200dpi}%
%\includegraphics<8>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-08_200dpi}%
%\includegraphics<9>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-09_200dpi}%
%\includegraphics<10>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-10_200dpi}%
%\includegraphics<11>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-11_200dpi}%
%\includegraphics<12>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-12_200dpi}%
%\includegraphics<13>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-13_200dpi}%
%\includegraphics<14>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-14_200dpi}%
%\includegraphics<15>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-15_200dpi}%
%\includegraphics<16>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-16_200dpi}%
%\includegraphics<17>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-17_200dpi}%
%\includegraphics<18>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-18_200dpi}%
%\includegraphics<19>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-19_200dpi}%
%\includegraphics<20>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-20_200dpi}%
%\includegraphics<21>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-21_200dpi}%
%\includegraphics<22>[width=1.05\textwidth, bb=67 160 330 384, clip]{figs/Amundsen-Bellingshausen_hi_#1_2017-01-22_200dpi}%
}
\frame{
\frametitle{COSIMA's global ocean-ice model configurations at \textbf{three resolutions}}
\begin{minipage}[t]{0.32\textwidth}
\textbf{ACCESS-OM2}\\[-3.5ex]
{\small
\begin{itemize}
\item not eddy-resolving
\itemsep-0.25em
\item \textbf{1$^\circ$} horizontal grid\\[-1ex]
\hspace{-2ex}{\tiny $360\times300$ cells, 24--111\,km}
\item 50 $z^*$ levels\\[-1ex]
\hspace{-2ex}{\tiny $\Delta z=2.3$--220\,m}
\item fast and cheap\\[-1ex]
\hspace{-2ex}{\tiny $\sim 24$min/yr, 0.1\,kCPU\,hr/yr\\[-1.3ex]on 252 PEs, dt=5400\,s}
\item used in ACCESS-CM2
%\item suits many-century\\ {experiments}
\end{itemize}}
\vspace{-1ex}%
\multifig{1deg_jra55_iaf_omip2-fixed_cycle1}
\end{minipage}
\hfill
\begin{minipage}[t]{0.32\textwidth}
\textbf{ACCESS-OM2-025}\\[-3.5ex]
{\small
\begin{itemize}
\itemsep-0.25em
\item eddy ``permitting''
\item \textbf{0.25$^\circ$} horizontal grid\\[-1ex]
\hspace{-2ex}{\tiny $1440\times1080$ cells, 6.0--27.8\,km}
\item 50 $z^*$ levels\\[-1ex]
\hspace{-2ex}{\tiny $\Delta z=2.3$--220\,m}
\item fairly fast, less cheap\\[-1ex]
\hspace{-2ex}{\tiny 105\,min/yr, 4.5\,kCPU\,hr/yr\\[-1.3ex]on 1824 PEs, dt=1800\,s}
%\item suits few-century\\ {experiments}
\item for future ACCESS CM
\end{itemize}}
\vspace{-1ex}%
\multifig{025deg_jra55_iaf_amoctopo_cycle1}
\end{minipage}
\hfill
\begin{minipage}[t]{0.32\textwidth}
\textbf{ACCESS-OM2-01}\\[-3.5ex]
{\small
\begin{itemize}
\itemsep-0.25em
\item eddy-rich
\item \textbf{0.1$^\circ$} horizontal grid\\[-1ex]
\hspace{-2ex}{\tiny $3600\times2700$ cells, 2.2--11.1\,km}
\item 75 $z^*$ levels\\[-1ex]
\hspace{-2ex}{\tiny $\Delta z=1.1$--198\,m}
\item slow, expensive\\[-1ex]
\hspace{-2ex}{\tiny 9\,hr/yr, 55--65\,kCPU\,hr/yr\\[-1.3ex]on 5096 PEs, dt=600\,s}
%\item suits multi-decade\\ {experiments}
\item for~Bluelink
\end{itemize}}
\vspace{-1ex}%
\multifig{01deg_jra55v140_iaf_cycle1}
\end{minipage}%\\[2ex]
}
\frame{
\frametitle{ACCESS-OM2 suite model components}
\begin{minipage}[t]{0.4\textwidth}
\vfill
\includegraphics[width=\textwidth]{models-diagram/models-diagram-clip.pdf}
\vfill
\end{minipage}%
\begin{minipage}[t]{0.6\textwidth}
\textbf{Prescribed atmospheric forcing: JRA55-do}
\begin{itemize}
\item JRA55-do~v1.4.0 {\scriptsize (55\,km, 3-hourly)}
\item Derived from JRA55 reanalysis but with adjustments for driving ocean models
\item This is the only component tied to observations (no DA in ice or ocean)
\item JRA55 assimilated thresholded COBE-SST SIC, set to 1 for SIC$>0.55$, and 0 otherwise
\item No feedback to atmosphere $\Rightarrow$ % (e.g.\ infinite atmospheric heat capacity)
atmospheric control of ice and ocean is stronger than in a coupled atmosphere-ice-ocean model %(e.g.\ ACCESS-CM2)
\end{itemize}
\textbf{Model improvements since v1 {\small \citep{KissETAL2020a}}} %{} (\href{https://doi.org/10.5194/gmd-13-401-2020}{Kiss et al.\ 2020})}}
\begin{itemize}
\item {\small relative winds for ice stress calculation}\\[-4ex]
\item {\small latitudinally-varying ocean albedo }\\[-4ex]
\item {\small new JRA55-do version, extended to Jan 2019}\\[-4ex]
\item {\small improved topography at all resolutions}\\[-4ex]
\end{itemize}
\end{minipage}
}
\section{Control experiments at 1$^\circ$, 0.25$^\circ$ and 0.1$^\circ$}
\frame{
\frametitle{Control experiments at 1$^\circ$, 0.25$^\circ$ and 0.1$^\circ$}
\begin{itemize}
\item Each resolution was run for \textbf{multiple 61-year cycles}
\begin{itemize}
\item Each cycle had 1 Jan 1958 -- 31 Dec 2018 JRA55-do v1.4.0 forcing
\item Cycles differ only in their initial condition
\begin{itemize}
\item[\textbullet] {\small cycle 1 starts from observed climatology (World Ocean Atlas 2013 v2)}
\item[\textbullet] {\small subsequent cycles start from final ocean \& ice state of previous cycle}\\[2ex]
\end{itemize}
\end{itemize}
\item \textbf{ACCESS-OM2:} OMIP-2 experiment, \textbf{6 cycles} at 1$^\circ$ (Hakase Hayashida)% \texttt{/scratch/v45/aek156/access-om2/archive/1deg_jra55_iaf_omip2-fixed_cycle*}
\item \textbf{ACCESS-OM2-025:} OMIP-2 experiment, \textbf{6 cycles} at 0.25$^\circ$ (Ryan Holmes) % \texttt{/scratch/e14/rmh561/access-om2/archive/025deg_jra55_iaf_amoctopo_cycle*}
\item \textbf{ACCESS-OM2-01:} \textbf{3 cycles} at 0.1$^\circ$\\[2ex] %\texttt{/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v140_iaf}, \texttt{/g/data/cj50/access-om2/raw-output/access-om2-01/01deg_jra55v140_iaf_cycle2}, \texttt{/scratch/x77/aek156/access-om2/archive/01deg_jra55v140_iaf_cycle3} and \texttt{/scratch/v45/aek156/access-om2/archive/01deg_jra55v140_iaf_cycle3}
%\item figure script: \url{https://github.com/aekiss/ice_analysis}
%\item figure files: \texttt{/g/data/v45/aek156/notebooks/github/aekiss/ice_analysis/figs}
%\item All data will be made public (currently available by request)
\item Runs used new configurations that are more consistent than in v1 {\small \citep{KissETAL2020a}}\\[2ex] %(\href{https://doi.org/10.5194/gmd-13-401-2020}{Kiss et al.\ 2020})}\\[2ex]
\end{itemize}
}
\subsection{Timeseries}
\frame{
\frametitle{Timeseries of sea ice extent (area with $>15\%$ concentration), cycle \only<1>{1}\only<2>{2}\only<3>{3}\only<4>{4}\only<5>{5}\only<6>{6}}
\includegraphics<1>[height=0.5\textheight,width=\textwidth]{figs/ice_extent_min_mean_max_all_cycle1.pdf}%
\includegraphics<2>[height=0.5\textheight,width=.978\textwidth]{figs/ice_extent_min_mean_max_all_cycle2.pdf}%
\includegraphics<3>[height=0.5\textheight,width=.978\textwidth]{figs/ice_extent_min_mean_max_all_cycle3.pdf}%
\includegraphics<4>[height=0.5\textheight,width=.978\textwidth]{figs/ice_extent_min_mean_max_all_cycle4.pdf}%
\includegraphics<5>[height=0.5\textheight,width=.978\textwidth]{figs/ice_extent_min_mean_max_all_cycle5.pdf}%
\includegraphics<6>[height=0.5\textheight,width=.978\textwidth]{figs/ice_extent_min_mean_max_all_cycle6.pdf}%
\begin{itemize}
\item 12-month running minimum, mean and maximum extent, compared to observational estimate (\href{https://nsidc.org/data/g02135}{NSIDC Sea Ice Index, v3}; \citet{FettererKnowlesMeierSavoieWindnagel2017a}) % (\href{https://nsidc.org/data/g02135}{NSIDC Sea Ice Index, v3; Fetterer et al.})
\item Very close tracking of interannual variation in obs, due to data assimilation into JRA55-do reanalysis: \textbf{2016 Antarctic sea ice minimum is captured}
\item Little dependence on cycle number, apart from initial few decades at 1$^\circ$ and 0.25$^\circ$
\item Quantitative comparison is hampered by differing land masks
\end{itemize}
}
\frame{
\frametitle{ACCESS-OM2 outperforms most OMIP-2 models in March ice extent}
ACCESS-OM2, all cycles \& res
\hfill
OMIP-2, mostly 1$^\circ$ \citep{TsujinoETAL2020a} % (\href{https://doi.org/10.5194/gmd-13-3643-2020}{Tsujino et al., 2020})
\hfill\phantom{x}
\begin{minipage}[c]{0.35\textwidth}
\includegraphics[width=\textwidth]{figs/SH_extent_1958-2018_month_03.pdf}\\[-1.1ex]
\includegraphics[width=\textwidth]{figs/SH_extent_1958-2018_month_09.pdf}\\
\end{minipage}%