Docu update.

doc/tex/mod/Daypctl

@@ -9,13 +9,12 @@
 
 @BeginDescription
 This operator computes percentiles over all timesteps of the same day in @file{ifile1}.
-The algorithm uses histograms with minimum and maximum bounds given in
-@file{ifile2} and @file{ifile3}, respectively. The default number of
-histogram bins is 101. The default can be overridden by defining the
-environment variable @env{CDO_PCTL_NBINS}. The files @file{ifile2} and
-@file{ifile3} should be the result of corresponding @mod{daymin} and @mod{daymax}
-operations, respectively.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile1}.
+The algorithm uses histograms with minimum and maximum bounds given in @file{ifile2} and
+@file{ifile3}, respectively. The default number of histogram bins is 101.
+The default can be overridden by defining the environment variable @env{CDO_PCTL_NBINS}.
+The files @file{ifile2} and @file{ifile3} should be the result of corresponding @mod{daymin}
+and @mod{daymax} operations, respectively.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile1}.
 @EndDescription
 @EndModule
 
@@ -26,7 +25,7 @@ The time stamp in @file{ofile} is from the middle contributing timestep of @file
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = pth percentile {i(t',x), t_1<t'<=t_n}
 @EndifMan

doc/tex/mod/Daystat

@@ -11,7 +11,7 @@
 This module computes statistical values over timesteps of the same day.
 Depending on the chosen operator the minimum, maximum, sum, average, variance
 or standard deviation of timesteps of the same day is written to @file{ofile}.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile}.
 @EndDescription
 @EndModule
 
@@ -21,7 +21,7 @@ The time stamp in @file{ofile} is from the middle contributing timestep of @file
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = min{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -40,7 +40,7 @@ o(t,x) = \mbox{\textbf{min}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = max{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -59,7 +59,7 @@ o(t,x) = \mbox{\textbf{max}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = sum{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -78,7 +78,7 @@ o(t,x) = \mbox{\textbf{sum}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = mean{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -97,7 +97,7 @@ o(t,x) = \mbox{\textbf{mean}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = avg{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -116,7 +116,7 @@ o(t,x) = \mbox{\textbf{avg}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = var{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -135,7 +135,7 @@ o(t,x) = \mbox{\textbf{var}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = var1{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -154,7 +154,7 @@ o(t,x) = \mbox{\textbf{var1}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = std{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -173,7 +173,7 @@ o(t,x) = \mbox{\textbf{std}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is
+Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same day it is:
 
 o(t,x) = std1{i(t',x), t_1<t'<=t_n}
 @EndifMan

doc/tex/mod/Ensstat2

@@ -30,8 +30,8 @@ the number of observations being larger than all ensembles.
 ensrkhistspace computes a ranked histogram at each timestep reducing each 
 horizontal grid to a 1x1 grid and keeping the time axis as in @file{obsfile}. 
 Contrary ensrkhistspace  computes a histogram at each grid point keeping the 
-horizontal grid for each variable and reducing the time-axis. The time infor-
-mation is that from the last timestep in @file{obsfile}. 
+horizontal grid for each variable and reducing the time-axis. The time information
+is that from the last timestep in @file{obsfile}. 
 @EndDescription
 @EndModule
 

doc/tex/mod/Hourpctl

@@ -9,13 +9,12 @@
 
 @BeginDescription
 This operator computes percentiles over all timesteps of the same hour in @file{ifile1}.
-The algorithm uses histograms with minimum and maximum bounds given in
-@file{ifile2} and @file{ifile3}, respectively. The default number of
-histogram bins is 101. The default can be overridden by setting the
-environment variable @env{CDO_PCTL_NBINS} to a different value. The files
-@file{ifile2} and @file{ifile3} should be the result of corresponding
-@mod{hourmin} and @mod{hourmax} operations, respectively.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile1}.
+The algorithm uses histograms with minimum and maximum bounds given in @file{ifile2} and
+@file{ifile3}, respectively. The default number of histogram bins is 101.
+The default can be overridden by defining the environment variable @env{CDO_PCTL_NBINS}.
+The files @file{ifile2} and @file{ifile3} should be the result of corresponding @mod{hourmin}
+and @mod{hourmax} operations, respectively.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile1}.
 @EndDescription
 @EndModule
 

doc/tex/mod/Hourstat

@@ -11,7 +11,7 @@
 This module computes statistical values over timesteps of the same hour.
 Depending on the chosen operator the minimum, maximum, sum, average, variance
 or standard deviation of timesteps of the same hour is written to @file{ofile}.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile}.
 @EndDescription
 @EndModule
 

doc/tex/mod/Monpctl

@@ -9,13 +9,12 @@
 
 @BeginDescription
 This operator computes percentiles over all timesteps of the same month in @file{ifile1}.
-The algorithm uses histograms with minimum and maximum bounds given in
-@file{ifile2} and @file{ifile3}, respectively. The default number of
-histogram bins is 101. The default can be overridden by setting the
-environment variable @env{CDO_PCTL_NBINS} to a different value. The files
-@file{ifile2} and @file{ifile3} should be the result of corresponding
-@mod{monmin} and @mod{monmax} operations, respectively.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile1}.
+The algorithm uses histograms with minimum and maximum bounds given in @file{ifile2} and
+@file{ifile3}, respectively. The default number of histogram bins is 101.
+The default can be overridden by defining the environment variable @env{CDO_PCTL_NBINS}.
+The files @file{ifile2} and @file{ifile3} should be the result of corresponding @mod{monmin}
+and @mod{monmax} operations, respectively.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile1}.
 @EndDescription
 @EndModule
 

doc/tex/mod/Monstat

@@ -11,7 +11,7 @@
 This module computes statistical values over timesteps of the same month.
 Depending on the chosen operator the minimum, maximum, sum, average, variance
 or standard deviation of timesteps of the same month is written to @file{ofile}.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile}.
 @EndDescription
 @EndModule
 
@@ -40,7 +40,7 @@ o(t,x) = \mbox{\textbf{min}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = max{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -59,7 +59,7 @@ o(t,x) = \mbox{\textbf{max}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = sum{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -78,7 +78,7 @@ o(t,x) = \mbox{\textbf{sum}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = mean{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -97,7 +97,7 @@ o(t,x) = \mbox{\textbf{mean}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = avg{i(t',x), t_1<t'<=t_n}
 @EndifMan
@@ -116,7 +116,7 @@ o(t,x) = \mbox{\textbf{avg}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = var{i(t',x), t_1 < t' <= t_n}
 @EndifMan
@@ -135,7 +135,7 @@ o(t,x) = \mbox{\textbf{var}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = var1{i(t',x), t_1 < t' <= t_n}
 @EndifMan
@@ -154,7 +154,7 @@ o(t,x) = \mbox{\textbf{var1}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = std{i(t',x), t_1 < t' <= t_n}
 @EndifMan
@@ -173,7 +173,7 @@ o(t,x) = \mbox{\textbf{std}}\{i(t',x), t_1 < t' \leq t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is
+Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same month it is:
 
 o(t,x) = std1{i(t',x), t_1 < t' <= t_n}
 @EndifMan

doc/tex/mod/Runpctl

@@ -8,7 +8,7 @@
 
 @BeginDescription
 This module computes running percentiles over a selected number of timesteps in @file{ifile}.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile}.
 @EndDescription
 @EndModule
 

doc/tex/mod/Runstat

@@ -11,7 +11,7 @@
 This module computes running statistical values over a selected number of timesteps. Depending on 
 the chosen operator the minimum, maximum, sum, average, variance or standard deviation of a selected 
 number of consecutive timesteps read from @file{ifile} is written to @file{ofile}. 
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile}.
 @EndDescription
 @EndModule
 

doc/tex/mod/Seaspctl

@@ -10,10 +10,10 @@
 @BeginDescription
 This operator computes percentiles over all timesteps in @file{ifile1} of the same season.
 The algorithm uses histograms with minimum and maximum bounds given in @file{ifile2} and @file{ifile3},
-respectively. The default number of histogram bins is 101. The default can be overridden by setting 
-the environment variable @env{CDO_PCTL_NBINS} to a different value. The files @file{ifile2} and 
-@file{ifile3} should be the result of corresponding @mod{seasmin} and @mod{seasmax} operations, respectively.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile1}.
+respectively. The default number of histogram bins is 101. The default can be overridden
+by defining the environment variable @env{CDO_PCTL_NBINS}. The files @file{ifile2} and @file{ifile3}
+should be the result of corresponding @mod{seasmin} and @mod{seasmax} operations, respectively.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile1}.
 Be careful about the first and the last output timestep, they may be incorrect values 
 if the seasons have incomplete timesteps.
 @EndDescription
@@ -26,14 +26,13 @@ if the seasons have incomplete timesteps.
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = pth percentile {i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
 \vspace*{1mm}
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 \vspace*{1mm}
 
 @BeginMath

doc/tex/mod/Seasstat

@@ -11,7 +11,7 @@
 This module computes statistical values over timesteps of the same season.
 Depending on the chosen operator the minimum, maximum, sum, average, variance
 or standard deviation of timesteps of the same season is written to @file{ofile}.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile}.
 Be careful about the first and the last output timestep, they may be incorrect values 
 if the seasons have incomplete timesteps.
 @EndDescription
@@ -23,13 +23,12 @@ if the seasons have incomplete timesteps.
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = min{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{min}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -43,13 +42,12 @@ o(t,x) = \mbox{\textbf{min}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = max{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{max}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -63,13 +61,12 @@ o(t,x) = \mbox{\textbf{max}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = sum{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{sum}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -83,13 +80,12 @@ o(t,x) = \mbox{\textbf{sum}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = mean{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{mean}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -103,13 +99,12 @@ o(t,x) = \mbox{\textbf{mean}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = avg{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{avg}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -123,13 +118,12 @@ o(t,x) = \mbox{\textbf{avg}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = var{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{var}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -143,13 +137,12 @@ o(t,x) = \mbox{\textbf{var}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = var1{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{var1}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -163,13 +156,12 @@ o(t,x) = \mbox{\textbf{var1}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+Normalize by n. For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = std{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{std}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -183,13 +175,12 @@ o(t,x) = \mbox{\textbf{std}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is
+Normalize by (n-1). For every adjacent sequence t_1, ...,t_n of timesteps of the same season it is:
 
 o(t,x) = std1{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of 
-the same season it is: \\
+Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same season it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{std1}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath

doc/tex/mod/Timpctl

@@ -10,10 +10,10 @@
 @BeginDescription
 This operator computes percentiles over all timesteps in @file{ifile1}. The algorithm uses 
 histograms with minimum and maximum bounds given in @file{ifile2} and @file{ifile3}, respectively. 
-The default number of histogram bins is 101. The default can be overridden by setting the
-environment variable @env{CDO_PCTL_NBINS} to a different value. The files @file{ifile2} and @file{ifile3}
-should be the result of corresponding @mod{timmin} and @mod{timmax} operations, respectively.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile1}.
+The default number of histogram bins is 101. The default can be overridden by defining the
+environment variable @env{CDO_PCTL_NBINS}. The files @file{ifile2} and @file{ifile3} should be
+the result of corresponding @mod{timmin} and @mod{timmax} operations, respectively.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile1}.
 @EndDescription
 @EndModule
 

doc/tex/mod/Timselpctl

@@ -12,7 +12,7 @@ The algorithm uses histograms with minimum and maximum bounds given in @file{ifi
 respectively. The default number of histogram bins is 101. The default can be overridden by setting the
 environment variable @env{CDO_PCTL_NBINS} to a different value. The files @file{ifile2} and @file{ifile3} 
 should be the result of corresponding @mod{timselmin} and @mod{timselmax} operations, respectively.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile1}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile1}.
 @EndDescription
 @EndModule
 
@@ -23,15 +23,13 @@ The time stamp in @file{ofile} is from the middle contributing timestep of @file
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = pth percentile {i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
 \vspace*{1mm}
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 \vspace*{1mm}
 
 @BeginMath

doc/tex/mod/Timselstat

@@ -11,7 +11,7 @@
 This module computes statistical values for a selected number of timesteps. According to 
 the chosen operator the minimum, maximum, sum, average, variance or standard deviation of 
 the selected timesteps is written to @file{ofile}.
-The time stamp in @file{ofile} is from the middle contributing timestep of @file{ifile}.
+The time of @file{ofile} is determined by the time in the middle of all contributing timesteps of @file{ifile}.
 @EndDescription
 @EndModule
 
@@ -22,14 +22,12 @@ The time stamp in @file{ofile} is from the middle contributing timestep of @file
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = min{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{min}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -44,14 +42,12 @@ o(t,x) = \mbox{\textbf{min}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = max{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{max}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -66,14 +62,12 @@ o(t,x) = \mbox{\textbf{max}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = sum{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{sum}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -88,14 +82,12 @@ o(t,x) = \mbox{\textbf{sum}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = mean{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{mean}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -110,14 +102,12 @@ o(t,x) = \mbox{\textbf{mean}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = avg{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{avg}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -132,14 +122,12 @@ o(t,x) = \mbox{\textbf{avg}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+Normalize by n. For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = var{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{var}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -154,14 +142,12 @@ o(t,x) = \mbox{\textbf{var}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+Normalize by (n-1). For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = var1{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{var1}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -176,14 +162,12 @@ o(t,x) = \mbox{\textbf{var1}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by n. For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+Normalize by n. For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = std{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+Normalize by n. For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{std}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath
@@ -198,14 +182,12 @@ o(t,x) = \mbox{\textbf{std}}\{i(t',x), t_1 < t' \le t_n\}
 
 @BeginDescription
 @IfMan
-Normalize by (n-1). For every adjacent sequence t1, ...., tn of timesteps of the same 
-selected time range it is
+Normalize by (n-1). For every adjacent sequence t1, ...., tn of timesteps of the same selected time range it is:
 
 o(t,x) = std1{i(t',x), t1 < t' <= tn}
 @EndifMan
 @IfDoc
-Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same 
-selected time range it is: \\
+Normalize by (n-1). For every adjacent sequence \begin{math}t_1, ...,t_n\end{math} of timesteps of the same selected time range it is: \\
 @BeginMath
 o(t,x) = \mbox{\textbf{std1}}\{i(t',x), t_1 < t' \le t_n\}
 @EndMath

doc/tex/mod/Timstat

@@ -11,7 +11,7 @@
 This module computes statistical  values over all timesteps in @file{ifile}. Depending on 
 the chosen operator the minimum, maximum, sum, average, variance or standard deviation of 
 all timesteps read from @file{ifile} is written to @file{ofile}.