<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.clim-past-discuss.net/inc/cpd/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Climate of the Past Discussions</journal_title>
		<journal_url>www.clim-past-discuss.net</journal_url>
		<issn>1814-9340</issn>
		<eissn>1814-9359</eissn>
		<volume_number>2</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/cpd-2-191-2006</doi>
	<article_url>http://www.clim-past-discuss.net/2/191/2006/</article_url>
	<abstract_html>http://www.clim-past-discuss.net/2/191/2006/cpd-2-191-2006.html</abstract_html>
	<fulltext_pdf>http://www.clim-past-discuss.net/2/191/2006/cpd-2-191-2006.pdf</fulltext_pdf>
	<start_page>191</start_page>
	<end_page>207</end_page>
	<publication_date>2006-05-04</publication_date>
	<article_title content_type="html">A guide for digitising manuscript climate data</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. Brönnimann</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>J. Annis</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>W. Dann</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>T. Ewen</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>A. N. Grant</name>
		</author>
		<author numeration="6" affiliations="1">
			<name>T. Griesser</name>
		</author>
		<author numeration="7" affiliations="1">
			<name>S. Krähenmann</name>
		</author>
		<author numeration="8" affiliations="1">
			<name>C. Mohr</name>
		</author>
		<author numeration="9" affiliations="1">
			<name>M. Scherer</name>
		</author>
		<author numeration="10" affiliations="1">
			<name>C. Vogler</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstr. 16, CH-8092 Zürich, Switzerland</affiliation>
	</affiliations>
	<abstract content_type="html">Hand-written or printed manuscript data are an important source for
paleo-climatological studies, but bringing them into a suitable format can
be a time consuming adventure with uncertain success. Before starting the
digitising work, it is worthwhile spending a few thoughts on the
characteristics of the data, the scientific requirements with respect to
quality and coverage, and on the different digitising techniques. Here we
briefly discuss the most important considerations and report our own
experience. We describe different methods for digitising numeric or text
data, i.e., optical character recognition (OCR), speech recognition, and key
entry. Each technique has its advantages and disadvantages that may become
important for certain applications. It is therefore crucial to thoroughly
investigate beforehand the characteristics of the manuscript data, define
the quality targets and develop validation strategies.</abstract>
	<references>
	</references>
</article>

