Attributing the impacts of land-cover changes in temperate regions on surface temperature and heat fluxes to specific causes: Results from the first LUCID set of simulations
Identifieur interne : 004E57 ( PascalFrancis/Curation ); précédent : 004E56; suivant : 004E58Attributing the impacts of land-cover changes in temperate regions on surface temperature and heat fluxes to specific causes: Results from the first LUCID set of simulations
Auteurs : J. P. Boisier [France] ; N. De Noblet-Ducoudre [France] ; A. J. Pitman [Australie] ; F. T. Cruz [Australie, Philippines] ; C. Delire [France] ; B. J. J. M. Van Den Hurk [Pays-Bas] ; M. K. Van Der Molen [Pays-Bas] ; C. Miiller [Allemagne] ; A. Voldoire [France]Source :
- Journal of geophysical research [ 0148-0227 ] ; 2012.
Descripteurs français
- Pascal (Inist)
- Occupation sol, Zone tempérée, Température surface, Température superficielle, Flux chaleur, Transfert chaleur, Simulation, Refroidissement, Utilisation terrain, Modèle climat, Rayonnement solaire, Amplitude, Energie turbulence, Transfert énergie, Albedo, Evapotranspiration, Efficacité, Rugosité, Réchauffement, Climat, Incertitude, Chaleur latente, Analyse statistique, Analyse sensibilité, Narrows.
- Wicri :
- topic : Zone tempérée, Simulation, Climat.
English descriptors
- KwdEn :
- Climate models, Narrows, Surface temperature, Turbulence energy, albedo, amplitude, climate, cooling, efficiency, energy transfer, evapotranspiration, heat flux, heat transfer, land cover, land use, latent heat, roughness, sensitivity analysis, simulation, solar radiation, statistical analysis, surface temperature, temperate zone, uncertainties, warming.
Abstract
[1] Surface cooling in temperate regions is a common biogeophysical response to historical Land-Use induced Land Cover Change (LULCC). The climate models involved in LUCID show, however, significant differences in the magnitude and the seasonal partitioning of the temperature change. The LULCC-induced cooling is directed by decreases in absorbed solar radiation, but its amplitude is 30 to 50% smaller than the one that would be expected from the sole radiative changes. This results from direct impacts on the total turbulent energy flux (related to changes in land-cover properties other than albedo, such as evapotranspiration efficiency or surface roughness) that decreases at all seasons, and thereby induces a relative warming in all models. The magnitude of those processes varies significantly from model to model, resulting on different climate responses to LULCC. To address this uncertainty, we analyzed the LULCC impacts on surface albedo, latent heat and total turbulent energy flux, using a multivariate statistical analysis to mimic the models' responses. The differences are explained by two major 'features' varying from one model to another: the land-cover distribution and the simulated sensitivity to LULCC. The latter explains more than half of the inter-model spread and resides in how the land-surface functioning is parameterized, in particular regarding the evapotranspiration partitioning within the different land-cover types, as well as the role of leaf area index in the flux calculations. This uncertainty has to be narrowed through a more rigorous evaluation of our land-surface models.
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<front><div type="abstract" xml:lang="en">[1] Surface cooling in temperate regions is a common biogeophysical response to historical Land-Use induced Land Cover Change (LULCC). The climate models involved in LUCID show, however, significant differences in the magnitude and the seasonal partitioning of the temperature change. The LULCC-induced cooling is directed by decreases in absorbed solar radiation, but its amplitude is 30 to 50% smaller than the one that would be expected from the sole radiative changes. This results from direct impacts on the total turbulent energy flux (related to changes in land-cover properties other than albedo, such as evapotranspiration efficiency or surface roughness) that decreases at all seasons, and thereby induces a relative warming in all models. The magnitude of those processes varies significantly from model to model, resulting on different climate responses to LULCC. To address this uncertainty, we analyzed the LULCC impacts on surface albedo, latent heat and total turbulent energy flux, using a multivariate statistical analysis to mimic the models' responses. The differences are explained by two major 'features' varying from one model to another: the land-cover distribution and the simulated sensitivity to LULCC. The latter explains more than half of the inter-model spread and resides in how the land-surface functioning is parameterized, in particular regarding the evapotranspiration partitioning within the different land-cover types, as well as the role of leaf area index in the flux calculations. This uncertainty has to be narrowed through a more rigorous evaluation of our land-surface models.</div>
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<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG"><s0>land cover</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE"><s0>Zone tempérée</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG"><s0>temperate zone</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="SPA"><s0>Zona temperada</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE"><s0>Température surface</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG"><s0>surface temperature</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Température superficielle</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Surface temperature</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Temperatura superficial</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Flux chaleur</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG"><s0>heat flux</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA"><s0>Flujo calor</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE"><s0>Transfert chaleur</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG"><s0>heat transfer</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="SPA"><s0>Transferencia térmica</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE"><s0>Simulation</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG"><s0>simulation</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="2" l="SPA"><s0>Simulación</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE"><s0>Refroidissement</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG"><s0>cooling</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="SPA"><s0>Enfriamiento</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE"><s0>Utilisation terrain</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>land use</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Utilización terreno</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="3" l="FRE"><s0>Modèle climat</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="3" l="ENG"><s0>Climate models</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE"><s0>Rayonnement solaire</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG"><s0>solar radiation</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Amplitude</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>amplitude</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="SPA"><s0>Amplitud</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Energie turbulence</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Turbulence energy</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Energía turbulencia</s0>
<s5>13</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Transfert énergie</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>energy transfer</s0>
<s5>14</s5>
</fC03>
<fC03 i1="15" i2="2" l="FRE"><s0>Albedo</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG"><s0>albedo</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="2" l="SPA"><s0>Albedo</s0>
<s5>15</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Evapotranspiration</s0>
<s5>17</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>evapotranspiration</s0>
<s5>17</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA"><s0>Evapotranspiración</s0>
<s5>17</s5>
</fC03>
<fC03 i1="17" i2="2" l="FRE"><s0>Efficacité</s0>
<s5>18</s5>
</fC03>
<fC03 i1="17" i2="2" l="ENG"><s0>efficiency</s0>
<s5>18</s5>
</fC03>
<fC03 i1="18" i2="2" l="FRE"><s0>Rugosité</s0>
<s5>19</s5>
</fC03>
<fC03 i1="18" i2="2" l="ENG"><s0>roughness</s0>
<s5>19</s5>
</fC03>
<fC03 i1="18" i2="2" l="SPA"><s0>Rugosidad</s0>
<s5>19</s5>
</fC03>
<fC03 i1="19" i2="2" l="FRE"><s0>Réchauffement</s0>
<s5>20</s5>
</fC03>
<fC03 i1="19" i2="2" l="ENG"><s0>warming</s0>
<s5>20</s5>
</fC03>
<fC03 i1="20" i2="2" l="FRE"><s0>Climat</s0>
<s5>21</s5>
</fC03>
<fC03 i1="20" i2="2" l="ENG"><s0>climate</s0>
<s5>21</s5>
</fC03>
<fC03 i1="20" i2="2" l="SPA"><s0>Clima</s0>
<s5>21</s5>
</fC03>
<fC03 i1="21" i2="2" l="FRE"><s0>Incertitude</s0>
<s5>22</s5>
</fC03>
<fC03 i1="21" i2="2" l="ENG"><s0>uncertainties</s0>
<s5>22</s5>
</fC03>
<fC03 i1="22" i2="2" l="FRE"><s0>Chaleur latente</s0>
<s5>23</s5>
</fC03>
<fC03 i1="22" i2="2" l="ENG"><s0>latent heat</s0>
<s5>23</s5>
</fC03>
<fC03 i1="23" i2="2" l="FRE"><s0>Analyse statistique</s0>
<s5>24</s5>
</fC03>
<fC03 i1="23" i2="2" l="ENG"><s0>statistical analysis</s0>
<s5>24</s5>
</fC03>
<fC03 i1="24" i2="2" l="FRE"><s0>Analyse sensibilité</s0>
<s5>25</s5>
</fC03>
<fC03 i1="24" i2="2" l="ENG"><s0>sensitivity analysis</s0>
<s5>25</s5>
</fC03>
<fC03 i1="25" i2="2" l="FRE"><s0>Narrows</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="25" i2="2" l="ENG"><s0>Narrows</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC07 i1="01" i2="2" l="FRE"><s0>New York</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>New York</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>Nueva York</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="FRE"><s0>Etats Unis</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="ENG"><s0>United States</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="SPA"><s0>Estados Unidos</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="2" l="FRE"><s0>Amérique du Nord</s0>
</fC07>
<fC07 i1="03" i2="2" l="ENG"><s0>North America</s0>
</fC07>
<fC07 i1="03" i2="2" l="SPA"><s0>America del norte</s0>
</fC07>
<fN21><s1>275</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>
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