Commit 1f2f2cec authored by saeed's avatar saeed
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wkhtmltopdf --margin-bottom 20mm --margin-top 20mm --minimum-font-size 18 report.html report.pdf
#rsvg-convert -f pdf -o page1.pdf ssh.svg
<!DOCTYPE html>
<meta charset="utf-8">
<meta http-equiv="refresh" content="1">
<title>Arome wind over the sea</title>
html {
height: 100%;
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border :0;
body {
height: 100%;
margin: 0 auto;
color: #333;
background: #ffffff;
min-width: 300px;
font-family: "Segoe UI","Segoe WP",Helvetica,Arial,Sans-Serif;
font-family: "Verdana Bold";
font-family:"Comic Sans MS Bold";
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h1,h2,h3,h4,h5,h6 {
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<div style="border:1px solid red;margin:0 auto;width:60%;">
<h1 align="center">General Background</h1>
<div style="border:0px solid red;margin:20px auto;width:100%;font-size:75%;font-type:bold;color:black;text-align:justify;">
<p> In this study, we compare the wind data from the atmospheric model called <b>AROME</b> against the observation. Observation come from mora. The information on mora data base can be found here <b>http://mora-apps/</b>.<br/><br/>
The goal is to understand how well AROME performs in predicting the wind over the ocean and the coastal areas. This is very important when it comes to the ocean model in the forced mode.
The data spans from the January 2018 to April 2018 with a hourly resolution. Model data are in the grib format retrieved from mars archiving system.
<h2 align="left">Model data </h2>
AROME is a regional atmospheric model running operationally at SMHI. The current resolution of the model is 2.5 km. AROME uses the lambert canonical conformal projection. We use the wind data at 10 meter. <br>The wind data is first interplated to the regular grid and then their values at the observationals points are obtained using the inverse distance weight interpolation method. It is done for both wind components.
<h2 align="left">Observational data </h2>
<h2 align="left">Results </h2>
<h2 align="left">Conclusion</h2>
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