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99      <div id="routine_details">
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102        <div class="routine_details" id="_spl_keep_mean">
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104          <h2><a class="top" href="#container">top</a>spl_keep_mean </h2>
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106          <p class="header">
107            <span class="result">result = </span>spl_keep_mean(<span class="result"><a href="#_spl_keep_mean_param_x">x</a>, <a href="#_spl_keep_mean_param_yin">yin</a>, <a href="#_spl_keep_mean_param_x2">x2</a></span>, <a href="#_spl_keep_mean_keyword_YP0">YP0</a>=<span class="result">YP0</span>, <a href="#_spl_keep_mean_keyword_YPN_1">YPN_1</a>=<span class="result">YPN_1</span>, <a href="#_spl_keep_mean_keyword_GE0">GE0</a>=<span class="result">GE0</span>)</p>
108       
109          <div class="comments">
110 NAME:spl_keep_mean
111
112 PURPOSE:
113
114 Given the arrays X and Y, which tabulate a function (with the X[i]
115 AND Y[i] in ascending order), and given an input value X2, the
116 SPL_INCR function returns an interpolated value for the given values
117 of X2. The interpolation method is based on cubic spline, corrected
118 in a way that integral of the interpolated values is the same as the
119 integral of the input values. (-> for exemple to build daily data
120 from monthly mean and keep the monthly mean of the computed daily
121 data equa to the original values)
122
123 CATEGORY:
124
125 CALLING SEQUENCE: y2 =  spl_keep_mean(x, y, x2)
126
127 INPUTS:
128
129    x: An n-element (at least 2) input vector that specifies the
130    tabulate points in a strict ascending order.
131
132    y: an array with one element less than x. y[i] represents the
133    mean value between x[i] and x[i+1]. if /GE0 is activated, y must
134    have positive values.
135
136    x2: The input values for which the interpolated values are
137    desired. Its values must be strictly monotonically increasing.
138
139 KEYWORD PARAMETERS:
140
141    /GE0: to force that y2 is always GE than 0. In that case, y must
142    also be GE than 0.
143
144    YP0: The first derivative of the interpolating function at the
145    point X0. If YP0 is omitted, the second derivative at the
146    boundary is set to zero, resulting in a "natural spline."
147
148    YPN_1: The first derivative of the interpolating function at the
149    point Xn-1. If YPN_1 is omitted, the second derivative at the
150    boundary is set to zero, resulting in a "natural spline."
151
152 OUTPUTS:
153
154    y2: the meean value between two consecutive values of x2. This
155    array has one element less than y2. y2 has double precision.
156
157 COMMON BLOCKS: none
158
159 SIDE EFFECTS: ?
160
161 RESTRICTIONS:
162   It might be possible that y2 has very small negative values
163   (amplitude smaller than 1.e-6)...
164
165
166 EXAMPLE:
167
168    12 monthly values of precipitations into daily values:
169
170    yr1 = 1990
171    yr2 = 1992
172    nyr = yr2-yr1+1
173    n1 = 12*nyr+1
174    x = julday(1+findgen(n1), replicate(1, n1) $
175           , replicate(yr1, n1), fltarr(n1))
176    n2 = 365*nyr + total(leapyr(yr1+indgen(nyr))) + 1
177    x2 = julday(replicate(1, n2), 1+findgen(n2) $
178               , replicate(yr1, n2), fltarr(n2))
179    y = abs(randomn(0, n1-1))
180    y2 = spl_keep_mean(x, y, x2, /ge0)
181
182    print, min(x, max = ma), ma
183    print, min(x2, max = ma), ma
184    print, vairdate([min(x, max = ma), ma])
185    print, total(y*(x[1:n1-1]-x[0:n1-2]))
186    print, total(y2*(x2[1:n2-1]-x2[0:n2-2]))
187
188 MODIFICATION HISTORY:</div>
189
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193            <h3>Parameters</h3>
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196            <h4 id="_spl_keep_mean_param_x">x&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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208           
209            <h4 id="_spl_keep_mean_param_yin">yin&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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221           
222            <h4 id="_spl_keep_mean_param_x2">x2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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240            <h3>Keywords</h3>
241           
242            <h4 id="_spl_keep_mean_keyword_YP0">YP0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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255            <h4 id="_spl_keep_mean_keyword_YPN_1">YPN_1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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268            <h4 id="_spl_keep_mean_keyword_GE0">GE0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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