[GRASS-SVN] r45622 - grass/trunk/raster/r.sun
svn_grass at osgeo.org
svn_grass at osgeo.org
Thu Mar 10 11:35:49 EST 2011
Author: neteler
Date: 2011-03-10 08:35:49 -0800 (Thu, 10 Mar 2011)
New Revision: 45622
Modified:
grass/trunk/raster/r.sun/r.sun.html
Log:
+citation for coefbh and coefdh from Jaro; HTML table reformatting
Modified: grass/trunk/raster/r.sun/r.sun.html
===================================================================
--- grass/trunk/raster/r.sun/r.sun.html 2011-03-10 16:32:11 UTC (rev 45621)
+++ grass/trunk/raster/r.sun/r.sun.html 2011-03-10 16:35:49 UTC (rev 45622)
@@ -77,8 +77,9 @@
diffuse) using <i>coefbh</i> and <i>coefdh </i>input raster maps defining
the fraction of the respective clear-sky radiations reduced by atmospheric
factors (e.g. cloudiness). The value is between 0-1. Usually these
-coefficients can be obtained from a long-terms meteorological measurements.</p>
-<p>
+coefficients can be obtained from a long-terms meteorological measurements
+provided as raster maps with spatial distribution of these coefficients separately
+for beam and diffuse radiation (see Suri and Hofierka, 2004, section 3.2).<p>
The solar irradiation or irradiance raster maps <i>beam_rad</i>, <i>diff_rad</i>,
<i>refl_rad</i> are computed for a given day <i>day,</i> latitude <i>latin</i>,
elevation <i>elevin</i>, slope <i>slopein</i> and aspect <i>aspin</i> raster maps.
@@ -178,14 +179,17 @@
in 2002). </p>
<p>
Average monthly values of the Linke turbidity coefficient for a mild climate
-in the northern hemisphere (see reference literature for your study area): </p>
-<pre>
-Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec annual<br>
-mountains 1.5 1.6 1.8 1.9 2.0 2.3 2.3 2.3 2.1 1.8 1.6 1.5 1.90 <br>
-rural 2.1 2.2 2.5 2.9 3.2 3.4 3.5 3.3 2.9 2.6 2.3 2.2 2.75 <br>
-city 3.1 3.2 3.5 4.0 4.2 4.3 4.4 4.3 4.0 3.6 3.3 3.1 3.75 <br>
-industrial 4.1 4.3 4.7 5.3 5.5 5.7 5.8 5.7 5.3 4.9 4.5 4.2 5.00
-</pre>
+in the northern hemisphere (see reference literature for your study area):
+
+<table border="1">
+<tr><th>Month</th><th>Jan</th><th>Feb</th><th>Mar</th><th>Apr</th><th>May</th><th>Jun</th><th>Jul</th><th>Aug</th><th>Sep</th><th>Oct</th><th>Nov</th><th>Dec</th><th>annual</th></tr>
+<tr><td>mountains</td><td>1.5</td><td>1.6</td><td>1.8</td><td>1.9</td><td>2.0</td><td>2.3</td><td>2.3</td><td>2.3</td><td>2.1</td><td>1.8</td><td>1.6</td><td>1.5</td><td>1.90</td></tr>
+<tr><td>rural</td><td>2.1</td><td>2.2</td><td>2.5</td><td>2.9</td><td>3.2</td><td>3.4</td><td>3.5</td><td>3.3</td><td>2.9</td><td>2.6</td><td>2.3</td><td>2.2</td><td>2.75</td></tr>
+<tr><td>city</td><td>3.1</td><td>3.2</td><td>3.5</td><td>4.0</td><td>4.2</td><td>4.3</td><td>4.4</td><td>4.3</td><td>4.0</td><td>3.6</td><td>3.3</td><td>3.1</td><td>3.75</td></tr>
+<tr><td>industrial</td><td>4.1</td><td>4.3</td><td>4.7</td><td>5.3</td><td>5.5</td><td>5.7</td><td>5.8</td><td>5.7</td><td>5.3</td><td>4.9</td><td>4.5</td><td>4.2</td><td>5.00</td></tr>
+</table>
+
+</p>
<P>
Planned improvements include the use of the SOLPOS algorithm for solar
geometry calculations and internal computation of aspect and slope.
@@ -296,6 +300,9 @@
Scharmer, K., Greif, J., eds., (2000). The European solar radiation atlas,
Vol. 2: Database and exploitation software. Paris (Les Presses de l'École
des Mines). </p>
+<p>
+Suri, M., Hofierka, J. (2004): A new GIS-based solar radiation model and its
+application to photovoltaic assessments. Transactions in GIS 8, pp. 175-190.</p>
<p>Joint Research Centre: <a href="http://re.jrc.ec.europa.eu/pvgis/">GIS solar radiation database for Europe</a> and
<a href="http://re.jrc.ec.europa.eu/pvgis/solres/solmod3.htm">Solar radiation and GIS</a>
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