AustralieFrV1, PascalFrancis, Curation, bibRecord, 005C66

Broadening the Spatial Applicability of Paleoclimate Information-A Case Study for the Murray-Darling Basin, Australia

Identifieur interne : 005C66 ( PascalFrancis/Curation ); précédent : 005C65; suivant : 005C67

Broadening the Spatial Applicability of Paleoclimate Information-A Case Study for the Murray-Darling Basin, Australia

Auteurs : Michelle Ho [Australie] ; Danielle C. Verdon-Kidd [Australie] ; Anthony S. Kiem [Australie] ; Russell N. Drysdale [Australie, France]

Source :

Journal of climate [ 0894-8755 ] ; 2014.

RBID : Pascal:14-0270569

Descripteurs français

Pascal (Inist)
- Hydroclimatologie, Reconstruction historique, Siècle 20eme, Bassin versant, Précipitation atmosphérique, Pluie, Variabilité climatique, Analyse corrélation, Analyse composante principale, Interpolation optimale, Analyse objective, Evaluation risque, Long terme, Bassin Murray, Gestion risque, Indicateur.

English descriptors

KwdEn :
- Century 20th, Correlation analysis, Historical reconstruction, Hydroclimatology, Long term, Murray Basin, Objective analysis, Optimum interpolation, Proxy, Risk assessment, Risk management, atmospheric precipitation, climate variability, drainage basins, principal components analysis, rainfall.

Abstract

Recent advances in the collection and analysis of paleoclimate data have provided significant insights into preinstrumental environmental events and processes, enabling a greater understanding of long-term environmental change and associated hydroclimatic risks. Unfortunately, it is often the case that there is a dearth of readily available paleoclimate data from regions where such insights and long-term data are most needed. The Murray-Darling basin (MDB), known as Australia's "food bowl," is an example of such a region where currently there are very limited in situ paleoclimate data available. While previous studies have utilized paleoclimate proxy records of large-scale climate mechanisms to infer preinstrumental MDB hydroclimatic variability, there is a lack of studies that utilize Australian terrestrial proxy records to garner similar information. Given the immediate need for improved understanding of MDB hydroclimatic variability, this paper identifies key locations in Australia where existing and as yet unrealized paleoclimate records will be most useful in reconstructing such information. To identify these key locations, rainfall relationships between MDB and non-MDB locations were explored through correlations and principal component analysis. An objective analysis using optimal interpolation was then used to pinpoint the most strategic locations to further develop proxy records and gain insights into the benefits of obtaining this additional information. The findings reveal that there is potential for the future assembly of high-resolution paleoclimate records in Australia capable of informing MDB rainfall variability, in particular southeast Australia and central-northern Australia. This study highlights the need for further investment in the development of these potential proxy sources to subsequently enable improved assessments of long-term hydroclimatic risks.

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Le document en format XML

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<front><div type="abstract" xml:lang="en">Recent advances in the collection and analysis of paleoclimate data have provided significant insights into preinstrumental environmental events and processes, enabling a greater understanding of long-term environmental change and associated hydroclimatic risks. Unfortunately, it is often the case that there is a dearth of readily available paleoclimate data from regions where such insights and long-term data are most needed. The Murray-Darling basin (MDB), known as Australia's "food bowl," is an example of such a region where currently there are very limited in situ paleoclimate data available. While previous studies have utilized paleoclimate proxy records of large-scale climate mechanisms to infer preinstrumental MDB hydroclimatic variability, there is a lack of studies that utilize Australian terrestrial proxy records to garner similar information. Given the immediate need for improved understanding of MDB hydroclimatic variability, this paper identifies key locations in Australia where existing and as yet unrealized paleoclimate records will be most useful in reconstructing such information. To identify these key locations, rainfall relationships between MDB and non-MDB locations were explored through correlations and principal component analysis. An objective analysis using optimal interpolation was then used to pinpoint the most strategic locations to further develop proxy records and gain insights into the benefits of obtaining this additional information. The findings reveal that there is potential for the future assembly of high-resolution paleoclimate records in Australia capable of informing MDB rainfall variability, in particular southeast Australia and central-northern Australia. This study highlights the need for further investment in the development of these potential proxy sources to subsequently enable improved assessments of long-term hydroclimatic risks.</div>
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</fC03>
<fC03 i1="04" i2="2" l="ENG"><s0>drainage basins</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="SPA"><s0>Cuenca</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Précipitation atmosphérique</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG"><s0>atmospheric precipitation</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA"><s0>Precipitación atmosférica</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE"><s0>Pluie</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG"><s0>rainfall</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="SPA"><s0>Lluvia</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE"><s0>Variabilité climatique</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG"><s0>climate variability</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Analyse corrélation</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Correlation analysis</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Análisis correlación</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE"><s0>Analyse composante principale</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>principal components analysis</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Análisis componente principal</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Interpolation optimale</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Optimum interpolation</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Interpolación óptima</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Analyse objective</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Objective analysis</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Análisis objetivos</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="3" l="FRE"><s0>Evaluation risque</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="3" l="ENG"><s0>Risk assessment</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Long terme</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Long term</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Largo plazo</s0>
<s5>13</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Bassin Murray</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>Murray Basin</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA"><s0>Cuenca Murray</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Gestion risque</s0>
<s5>41</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Risk management</s0>
<s5>41</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Gestión riesgo</s0>
<s5>41</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Indicateur</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>Proxy</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA"><s0>Indicador</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC07 i1="01" i2="2" l="FRE"><s0>Australie</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>Australia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>Australia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="FRE"><s0>Australasie</s0>
</fC07>
<fC07 i1="02" i2="2" l="ENG"><s0>Australasia</s0>
</fC07>
<fC07 i1="02" i2="2" l="SPA"><s0>Australasia</s0>
</fC07>
<fN21><s1>335</s1>
</fN21>
</pA>
</standard>
</inist>
</record>

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	Serveur d'exploration sur les relations entre la France et l'Australie
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Serveur d'exploration sur les relations entre la France et l'Australie

Broadening the Spatial Applicability of Paleoclimate Information-A Case Study for the Murray-Darling Basin, Australia

Broadening the Spatial Applicability of Paleoclimate Information-A Case Study for the Murray-Darling Basin, Australia

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