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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics</journal_title>
		<journal_url>www.atmos-chem-phys.net</journal_url>
		<issn>1680-7316</issn>
		<eissn>1680-7324</eissn>
		<volume_number>4</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2004</publication_year>
	</journal>
	<doi>10.5194/acp-4-127-2004</doi>
	<article_url>http://www.atmos-chem-phys.net/4/127/2004/</article_url>
	<abstract_html>http://www.atmos-chem-phys.net/4/127/2004/acp-4-127-2004.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys.net/4/127/2004/acp-4-127-2004.pdf</fulltext_pdf>
	<start_page>127</start_page>
	<end_page>142</end_page>
	<publication_date>2004-01-30</publication_date>
	<article_title content_type="html">Ten-year global distribution of downwelling longwave radiation</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>K. G. Pavlakis</name>
		</author>
		<author numeration="2" affiliations="1,2">
			<name>D. Hatzidimitriou</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>C. Matsoukas</name>
		</author>
		<author numeration="4" affiliations="1,3">
			<name>E. Drakakis</name>
		</author>
		<author numeration="5" affiliations="1,4">
			<name>N. Hatzianastassiou</name>
		</author>
		<author numeration="6" affiliations="1,2">
			<name>I. Vardavas</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Foundation for Research and Technology-Hellas, Heraklion, Crete, Greece</affiliation>
		<affiliation numeration="2" content_type="html">Department of Physics, University of Crete, Heraklion, Crete, Greece</affiliation>
		<affiliation numeration="3" content_type="html">Department of Electrical Engineering, Technological Educational Institute of Crete, Greece</affiliation>
		<affiliation numeration="4" content_type="html">Department of Physics, University of Ioannina, Greece</affiliation>
	</affiliations>
	<abstract content_type="html">Downwelling longwave fluxes,
      DLFs, have been derived for each month over a ten year period (1984-1993), on a global scale with a spatial resolution of
      2.5x2.5 degrees and a monthly temporal resolution. The fluxes were computed using a
      deterministic model for atmospheric radiation transfer, along with satellite and
      reanalysis data for the key atmospheric input parameters, i.e. cloud properties, and specific
      humidity and temperature profiles. The cloud climatologies were taken from the latest
      released and improved International Satellite Climatology Project D2 series. Specific
      humidity and temperature vertical profiles were taken from three different reanalysis
      datasets; NCEP/NCAR, GEOS, and ECMWF (acronyms explained in main text). DLFs were
      computed for each reanalysis dataset, with differences reaching values as high as
      30 Wm&lt;sup&gt;-2&lt;/sup&gt; in specific regions, particularly over high altitude areas and
      deserts. However, globally, the agreement is good, with the rms of the difference between the
      DLFs derived from the different reanalysis datasets ranging from 5 to 7 Wm&lt;sup&gt;-2&lt;/sup&gt;.
      The results are presented as geographical distributions and as time series of
      hemispheric and global averages. The DLF time series based on the different reanalysis
      datasets show similar seasonal and inter-annual variations, and similar anomalies related
      to the 86/87 El Niño and 89/90 La Niña events. The global ten-year average
      of the DLF was found to be between 342.2 Wm&lt;sup&gt;-2&lt;/sup&gt; and 344.3 Wm&lt;sup&gt;-2&lt;/sup&gt;, depending on the
      dataset. We also conducted a detailed sensitivity analysis of the calculated DLFs to the key
      input data. Plots are given that can be used to obtain a quick assessment of the
      sensitivity of the DLF to each of the three key climatic quantities, for specific climatic
      conditions corresponding to different regions of the globe. Our model downwelling
      fluxes are validated against available data from ground-based stations distributed over
      the globe, as given by the Baseline Surface Radiation Network. There is a negative bias of the model fluxes when compared against BSRN fluxes, ranging from
      -7 to -9 Wm&lt;sup&gt;-2&lt;/sup&gt;, mostly caused by low cloud amount differences between the station and
      satellite measurements, particularly in cold climates. Finally, we compare our model
      results with those of other deterministic models and general circulation models.</abstract>
	<references>
	</references>
</article>

