<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250926</CreaDate>
<CreaTime>09352900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Temperature_Change_Changements_de_température</resTitle>
</idCitation>
<searchKeys>
<keyword>cesi icde temperature change changements</keyword>
</searchKeys>
<idPurp>The Temperature change in Canada indicator shows the yearly and seasonal surface air temperature departures for the years 1948 to the latest year available. As well, it presents a spatial distribution of surface air temperature departures for the most recent year and trends in temperature since 1948. An annual departure (or anomaly) is the difference between the value for a given year and a baseline value.
-- L’indicateur sur les changements de la température au Canada mesure les écarts de la température annuelle et saisonnière de l'air en surface de 1948 à la dernière année disponible. Il présente également la distribution spatiale des écarts de température de l'air en surface pour l'année la plus récente et les tendances de changement de température pour la période depuis 1948. L'écart annuel (aussi appelé anomalie) est la différence entre la valeur d'une année donnée et une valeur de référence.</idPurp>
<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The Temperature change in Canada indicator shows the yearly and seasonal surface air temperature departures for the years 1948 to the latest year available. As well, it presents a spatial distribution of surface air temperature departures for the most recent year and trends in temperature since 1948. An annual departure (or anomaly) is the difference between the value for a given year and a baseline value.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;-- &lt;/span&gt;&lt;span&gt;L’indicateur sur les changements de la température au Canada mesure les écarts de la température annuelle et saisonnière de l'air en surface de 1948 à la dernière année disponible. Il présente également la distribution spatiale des écarts de température de l'air en surface pour l'année la plus récente et les tendances de changement de température pour la période depuis 1948. L'écart annuel (aussi appelé anomalie) est la différence entre la valeur d'une année donnée et une valeur de référence.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
