Changeset 11596 for NEMO/trunk/doc/latex/NEMO/subfiles/chap_OBS.tex
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- 2019-09-25T19:06:37+02:00 (5 years ago)
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NEMO/trunk/doc/latex/NEMO/subfiles/chap_OBS.tex (modified) (18 diffs)
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NEMO/trunk/doc/latex/NEMO/subfiles/chap_OBS.tex
r11584 r11596 2 2 3 3 \begin{document} 4 % ================================================================5 % Chapter observation operator (OBS)6 % ================================================================7 4 \chapter{Observation and Model Comparison (OBS)} 8 5 \label{chap:OBS} … … 22 19 \end{figure} 23 20 24 \newpage25 26 21 The observation and model comparison code, the observation operator (OBS), reads in observation files 27 22 (profile temperature and salinity, sea surface temperature, sea level anomaly, sea ice concentration, and velocity) and calculates an interpolated model equivalent value at the observation location and nearest model time step. … … 60 55 In \autoref{sec:OBS_obsutils} we describe some utilities to help work with the files produced by the OBS code. 61 56 62 % ================================================================63 % Example64 % ================================================================65 57 \section{Running the observation operator code example} 66 58 \label{sec:OBS_example} … … 610 602 \begin{enumerate} 611 603 612 \item [1.] {\bfseries Great-Circle distance-weighted interpolation.}604 \item [1.] {\bfseries Great-Circle distance-weighted interpolation.} 613 605 The weights are computed as a function of the great-circle distance $s(P, \cdot)$ between $P$ and 614 606 the model grid points $A$, $B$ etc. … … 655 647 \end{alignat*} 656 648 657 \item [2.] {\bfseries Great-Circle distance-weighted interpolation with small angle approximation.}649 \item [2.] {\bfseries Great-Circle distance-weighted interpolation with small angle approximation.} 658 650 Similar to the previous interpolation but with the distance $s$ computed as 659 651 \begin{alignat*}{2} … … 665 657 where $M$ corresponds to $A$, $B$, $C$ or $D$. 666 658 667 \item [3.] {\bfseries Bilinear interpolation for a regular spaced grid.}659 \item [3.] {\bfseries Bilinear interpolation for a regular spaced grid.} 668 660 The interpolation is split into two 1D interpolations in the longitude and latitude directions, respectively. 669 661 670 \item [4.] {\bfseries Bilinear remapping interpolation for a general grid.}662 \item [4.] {\bfseries Bilinear remapping interpolation for a general grid.} 671 663 An iterative scheme that involves first mapping a quadrilateral cell into 672 664 a cell with coordinates (0,0), (1,0), (0,1) and (1,1). … … 697 689 \autoref{fig:OBS_avgrec} and~\autoref{fig:OBS_avgrad}. 698 690 699 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>700 691 \begin{figure} 701 692 \centering … … 708 699 % >>>>>>>>>>>>>>>>>>>>>>>>>>>> 709 700 710 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>711 701 \begin{figure} 712 702 \centering … … 717 707 \label{fig:OBS_avgrad} 718 708 \end{figure} 719 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>720 721 709 722 710 \subsection{Grid search} … … 786 774 \subsubsection{Geographical distribution of observations among processors} 787 775 788 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>789 776 \begin{figure} 790 777 \centering … … 795 782 \label{fig:OBS_local} 796 783 \end{figure} 797 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>798 784 799 785 This is the simplest option in which the observations are distributed according to … … 814 800 \subsubsection{Round-robin distribution of observations among processors} 815 801 816 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>817 802 \begin{figure} 818 803 \centering … … 823 808 \label{fig:OBS_global} 824 809 \end{figure} 825 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>826 810 827 811 An alternative approach is to distribute the observations equally among processors and … … 843 827 844 828 For profile observation types we do both vertical and horizontal interpolation. \NEMO\ has a generalised vertical coordinate system this means the vertical level depths can vary with location. Therefore, it is necessary first to perform vertical interpolation of the model value to the observation depths for each of the four surrounding grid points. After this the model values, at these points, at the observation depth, are horizontally interpolated to the observation location. 845 846 \newpage847 848 % ================================================================849 % Standalone observation operator documentation850 % ================================================================851 829 852 830 %\usepackage{framed} … … 957 935 climatologies with the same set of observations. 958 936 This approach is referred to as \emph{Class 4} since it is the fourth metric defined by the GODAE intercomparison project. This requires multiple runs of the SAO and running an additional utility (not currently in the \NEMO\ repository) to combine the feedback files into one class 4 file. 959 960 \newpage961 937 962 938 \section{Observation utilities} … … 1146 1122 The rightmost group of buttons will print the plot window as a postscript, save it as png, or exit from dataplot. 1147 1123 1148 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>1149 1124 \begin{figure} 1150 1125 \centering … … 1153 1128 \label{fig:OBS_dataplotmain} 1154 1129 \end{figure} 1155 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>1156 1130 1157 1131 If a profile point is clicked with the mouse button a plot of the observation and background values as 1158 1132 a function of depth (\autoref{fig:OBS_dataplotprofile}). 1159 1133 1160 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>1161 1134 \begin{figure} 1162 1135 \centering … … 1166 1139 \label{fig:OBS_dataplotprofile} 1167 1140 \end{figure} 1168 %>>>>>>>>>>>>>>>>>>>>>>>>>>>>1169 1141 1170 1142 \onlyinsubfile{\input{../../global/epilogue}}
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