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    <title>UTas ePrints - Rainfall estimation in south west Tasmania using satellite images and phytosociological calibration</title>
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    <meta content="Nunez, M." name="eprints.creators_name" />
<meta content="Kirkpatrick, J.B." name="eprints.creators_name" />
<meta content="Nilsson, C." name="eprints.creators_name" />
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<meta content="J.Kirkpatrick@utas.edu.au" name="eprints.creators_id" />
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<meta content="Rainfall estimation in south west Tasmania using satellite images and phytosociological calibration" name="eprints.title" />
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<meta content="atmospheric precipitation ; Parameter estimation ; calibration ; Satellite observation ; Long term ; Summer ; Winter ; Linear regression ; Multiple regression ; rainfall ; Rain gauge ; imagery ; Tasmania ; Australia ; Australasia " name="eprints.keywords" />
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<meta content="NOAA AVHRR digital data are used to map precipitation in southwest Tasmania, Australia. The technique uses multiple linear regression analyses between precipitation and satellite data to obtain yearly and seasonal averages over a three-year period. These maps are later transformed into long term average maps by drawing on linear relations between 3-year and long term averages for various precipitation stations in the study area. Rms model residuals (measured-model) range from 0.45 mm day[-1] for the summer regression to 1.20 mm day[-1] for the winter regression. A significant fraction of this error may be attributed to limitations in the rain gauge measurements. The predicted precipitation is further verified by reference to variation in the alpine floras of the study area which have a known relationship with soil conditions that vary with precipitation. Single axis ordination scores for the floras show strong relationships with predicted precipitation both on a seasonal and annual basis, especially in subsets related to substrate and region." name="eprints.abstract" />
<meta content="1996-05" name="eprints.date" />
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<meta content="ARKIN, P. A. and ARDANUY, P. E., 1989, Estimating climatic scale precipitation from space:
a review. Journal of Climate, 2, 1229-1238.
BARRETT, E. c., D'SOUZA, G. and POWER, C. H., 1986, Bristol techniques for the use of
satellite data in rain cloud and rainfall monitoring. Journal of British Interplanetary
Society, 39, 517-526.
FOLLANSBEE, W. A., 1976, Estimation of daily precipitation over China and the USSR using
satellite imagery, NOAA Technical Memorandum NESS 81, Washington, D.C., U.S.A.
GENTILLI, J., 1971, Climates of Australia and New Zealand (Amsterdam: Elsevier).
GRIFFITH, C. G., WOODLEY, W. L., GRUBE, P. G., MARTIN, D. W., STOUT, J. and SIKDAR,
D. N., 1978, Rain estimates from geosynchronous satellite imagery: Visible and infrared
studies. Monthly Weather Review, 106, 1153-1171.
KIRKPATRICK, J. B., 1983, Treeless plant communities of the Tasmania high country.
Proceedings of the Ecology Society of Australia, 12, 61-77.
KIRKPATRICK, J. B., 1989, The comparative ecology of mainland Australian and Tasmanian
alpine vegetation. In The Scientific Significance of the Australian Alps, edited by
R. Good (Canberra: Australian Academy of Science), pp. 127-142.
KIRKPATRICK, J. B. and DICKINSON, K. J. M., 1984, Vegetation Map of Tasmania, 1 :500000.
Tasmania: Forestry Commission.
MINCHIN, P., 1987, An evaluation of the relative robustness of techniques for ecological
ordination. Vegetatio, 69, 89-107.
MORRIS, C. J. B., 1990, An investigation of the precipitation distribution on Mount Wellington
using a novel rain gauge, Honours. Thesis, Department of Geography and
Environmental Studies, University Tasmania, Australia.
NUNEZ, M., 1990, Solar energy statistics for australian capital regions. Solar Energy, 44,
343-354.
RAO, P. K., HOLMES, S. J., ANDERSON, R. K., WINSTON, J. S., LEHR, P. E. (editors), 1990,
Weather Satellites: Systems Data and Environmental Applications (Boston MA:
American Meteorological Society).
SCOFIELD, R. A., 1987, The NESDIS operational convective precipitation estimation technique.
Monthly Weather Review, 115, 1773-1792.
SMITH, S. and BANKS, M. R. (editors) 1993. Tasmanian Wilderness-World Heritage Values.
Hobart: Royal Society of Tasmania.
TAYLOR, V. R. and STOWE, L. L., 1984, Atlas of reflectance patterns for uniform earth and
cloud surfaces, NOAA Technical Report NESDIS 10, Washington, D.C., U.S.A." name="eprints.referencetext" />
<meta content="Nunez, M. and Kirkpatrick, J.B. and Nilsson, C. (1996) Rainfall estimation in south west Tasmania using satellite images and phytosociological calibration. International Journal of Remote Sensing, 17 (8). pp. 1583-1600." name="eprints.citation" />
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<meta content="NOAA AVHRR digital data are used to map precipitation in southwest Tasmania, Australia. The technique uses multiple linear regression analyses between precipitation and satellite data to obtain yearly and seasonal averages over a three-year period. These maps are later transformed into long term average maps by drawing on linear relations between 3-year and long term averages for various precipitation stations in the study area. Rms model residuals (measured-model) range from 0.45 mm day[-1] for the summer regression to 1.20 mm day[-1] for the winter regression. A significant fraction of this error may be attributed to limitations in the rain gauge measurements. The predicted precipitation is further verified by reference to variation in the alpine floras of the study area which have a known relationship with soil conditions that vary with precipitation. Single axis ordination scores for the floras show strong relationships with predicted precipitation both on a seasonal and annual basis, especially in subsets related to substrate and region." name="DC.description" />
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    <h1 class="ep_tm_pagetitle">Rainfall estimation in south west Tasmania using satellite images and phytosociological calibration</h1>
    <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Nunez, M.</span> and <span class="person_name">Kirkpatrick, J.B.</span> and <span class="person_name">Nilsson, C.</span> (1996) <xhtml:em>Rainfall estimation in south west Tasmania using satellite images and phytosociological calibration.</xhtml:em> International Journal of Remote Sensing, 17 (8). pp. 1583-1600.</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a href="http://eprints.utas.edu.au/1838/1/02.05.pdf"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" border="0" class="ep_doc_icon" /></a></td><td valign="top"><a href="http://eprints.utas.edu.au/1838/1/02.05.pdf"><span class="ep_document_citation">PDF</span></a> - Full text restricted - Requires a PDF viewer<br />3241Kb</td><td><form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/request_doc"><input value="2311" name="docid" accept-charset="utf-8" type="hidden" /><div class=""><input value="Request a copy" name="_action_null" class="ep_form_action_button" onclick="return EPJS_button_pushed( '_action_null' )" type="submit" /> </div></form></td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://dx.doi.org/10.1080/01431169608948724">http://dx.doi.org/10.1080/01431169608948724</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">NOAA AVHRR digital data are used to map precipitation in southwest Tasmania, Australia. The technique uses multiple linear regression analyses between precipitation and satellite data to obtain yearly and seasonal averages over a three-year period. These maps are later transformed into long term average maps by drawing on linear relations between 3-year and long term averages for various precipitation stations in the study area. Rms model residuals (measured-model) range from 0.45 mm day[-1] for the summer regression to 1.20 mm day[-1] for the winter regression. A significant fraction of this error may be attributed to limitations in the rain gauge measurements. The predicted precipitation is further verified by reference to variation in the alpine floras of the study area which have a known relationship with soil conditions that vary with precipitation. Single axis ordination scores for the floras show strong relationships with predicted precipitation both on a seasonal and annual basis, especially in subsets related to substrate and region.</p></div><table style="margin-bottom: 1em" border="0" cellpadding="3" class="not_ep_block"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Article</td></tr><tr><th valign="top" class="ep_row">Additional Information:</th><td valign="top" class="ep_row">The definitive version is available online at http://www.informaworld.com/</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">atmospheric precipitation ; Parameter estimation ; calibration ; Satellite observation ; Long term ; Summer ; Winter ; Linear regression ; Multiple regression ; rainfall ; Rain gauge ; imagery ; Tasmania ; Australia ; Australasia </td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/270709.html">270000 Biological Sciences &gt; 270700 Ecology and Evolution &gt; 270709 Biogeography</a></td></tr><tr><th valign="top" class="ep_row">Collections:</th><td valign="top" class="ep_row">UNSPECIFIED</td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">1838</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Professor J.B. Kirkpatrick</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">05 Sep 2007</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">12 Feb 2008 14:13</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=1838;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&amp;eprintid=1838">item control page</a></p>
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