Vienna Archives Météorologiques Historiques
Analysez les jours les plus chauds, froids, venteux et pluvieux

Vienna Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.36250000000000004	-0.4		5.05	3.1
	-0.6749999999999998	1.7		4.8374999999999995	4.6
	0.14374999999999993	-1		4.6625	2.3
	0.61875	-1.7		4.825	0.8
	0.29375000000000007	-4		4.456249999999999	-0.9
	-1.0875000000000001	-4.7		3.5124999999999997	-1.8
	-2.63125	-4.3		3.125	-1.3
	-1.5999999999999996	-5.8		3.3374999999999995	-1.6
	-0.5625	-4.9		3.6312500000000005	-3.6
	-0.7437499999999998	-5.1		3.8312500000000007	2.4
	-2.0500000000000003	-7.6		3.5625000000000004	-2.7
	-1.1812499999999995	-6.1		4.062499999999999	-1
	-0.7750000000000001	-1.4		3.6874999999999996	1.9
	-0.46875	-0.5		3.7	0.8
Jan.	-1.3500000000000003	-0.2		3.3312500000000007	2
	-1.95	0.8		3.275	2.1
	-1.4874999999999998	-0.5		3.0374999999999996	1.9
	-1.9937500000000001	-1.7		3.06875	2.4
	-1.99375	-2.2		2.9875000000000003	0.8
	-2.531250000000001	-2.8		2.8437500000000004	1.4
	-3.19375	-3.2		1.7375000000000003	1.8
	-3.29375	-4.7		1.8875000000000002	-0.3
	-2.8	-5		2.15	0.7
	-2.6687499999999997	-0.4		2.26875	1.4
	-2.8437499999999996	0.1		2.06875	2.2
	-3.5437499999999997	0.1		2.1	4.5
	-3.74375	0.4		2.5812500000000003	6.2
	-2.1687499999999993	1.9		3.99375	3.6
	-1.2749999999999995	-0.2		4.425	2.3
	-1.6312499999999996	0.5		4.4624999999999995	2.6
	-1.7375000000000003	0.1		3.3875	2.2
	-1.7312500000000002	-2.3		4.2625	1.1
	-0.4187499999999998	-2		4.70625	2.1
	-0.7437499999999994	-0.9		4.78125	2.5
	-0.85625	0.4		4.625	2.8
	-0.8374999999999999	1.8		4.9125	5.3
	-1.3	4.5		4.518750000000001	6.1
	-1.5687499999999994	3.7		4.05625	6
	-1.9375000000000009	4.8		3.8312500000000007	6.2
	-2.025	3.2		4.550000000000001	4.9
	-1.7062499999999996	3.3		5.1625000000000005	6.2
	-1.3375	2.7		4.28125	8.8
	-1.4937499999999997	4.6		3.4625	9.6
	-1.9499999999999995	5.9		4.0875	10.6
	-1.5937500000000002	4.1		5.0562499999999995	9.6
Fév.	-1.1875000000000002	-1.7		5.6125	2.2
	-1.125	-2.2		6.0375	6.1
	0.06249999999999986	2.6		6.812499999999999	6.6
	0.9499999999999997	1.3		6.837500000000001	5.6
	-0.12499999999999994	1		7.0125	3.4
	0.25625	-6.4		6.8	0.7
	0.46875	-7.7		7.36875	3.6
	0.42500000000000016	3.4		7.975000000000001	9.4
	0.8000000000000002	8.5		8.01875	10.8
	0.43124999999999997	5.8		8.125	10.9
	0.5187499999999998	3		8.2625	10.5
	0.8562500000000001	3.5		7.724999999999999	11.1
	0.14374999999999993	3.3		7.0249999999999995	12
	0.54375	3.9		7.9	12.6
	0.59375	5.9		8.19375	9.7
	1.0875	7.8		8.387500000000001	9.4
	0.8625000000000002	7.4		9.456250000000002	12.8
	1.1624999999999999	5.8		9.8375	13.7
	0.8500000000000001	6.1		8.343750000000002	14.3
	0.41250000000000003	5.5		8.79375	14.5
	0.9	6.2		9.456249999999999	14.8
	1.10625	5.5		8.531250000000002	14.7
	0.9937500000000001	7		9.85625	14.2
	1.7437500000000004	6.6		10.11875	15.4
	1.4625	6.6		9.931249999999999	15.6
	2.7750000000000004	7.3		10.38125	15.9
	3.275	6.8		11.406249999999998	16.3
	3.1062499999999997	8.8		10.5875	17.2
Mar.	2.5624999999999996	6.5		9.5875	10.4
	2.7062500000000003	6.5		9.74375	12.7
	2.45	4.6		11.437499999999998	9.4
	1.8875	5		10.437500000000002	14.3
	1.88125	4.8		11.049999999999999	12.6
	1.9124999999999996	5		11.44375	13.2
	2.05	6.1		12.674999999999999	8.6
	2.1687499999999997	4.2		12.86875	13.4
	2.8062499999999995	5.2		13.137500000000001	15
	3.6812499999999995	8.1		13.5125	15
	3.10625	7.9		12.6	18.2
	3.2874999999999996	4		12.706249999999997	7.2
	3.5125	2.7		11.812500000000002	6.5
	2.9937500000000004	3.2		13.625	9.3
	4.5562499999999995	3.6		15.099999999999998	7.6
	5.39375	2.6		15.8125	9.4
	5.09375	2.3		14.437500000000002	8.1
	5.45	2.8		13.962499999999999	11.5
	4.0875	4.7		13.531250000000002	7.7
	3.9125	5.1		13.674999999999997	15.5
	4.3374999999999995	6.5		14.90625	11.1
	4.99375	6.8		14.599999999999998	23.2
	4.268750000000001	9.3		13.512500000000001	16.2
	4.73125	6.1		14.5375	16.6
	5.981249999999999	4.2		14.8375	13.3
	5.5	3.1		15.4375	13.6
	5.13125	2.8		14.968750000000004	6.5
	5.162499999999999	2.2		15.1625	13.4
	5.668750000000001	5.5		16.35	16
	6.081249999999998	9.4		14.812500000000002	16.2
	5.762500000000002	9.4		15.293750000000001	12.8
Avr.	6.262499999999999	9.7		14.79375	16.1
	6.050000000000001	10.9		15.83125	16.7
	5.6125	9.1		15.937500000000002	20.4
	5.61875	7.8		15.137500000000001	19.1
	5.425	10.1		15.1875	20.5
	5.5375000000000005	7.7		16.2875	16.9
	6.0375000000000005	5.9		17.48125	12.6
	7.04375	3.3		17.375	14.8
	6.825	5.8		17.443749999999998	18.4
	7.187499999999999	7.4		18.049999999999997	20.6
	7.5874999999999995	7.8		18.400000000000002	22.3
	7.331249999999999	9		17.481250000000003	16
	6.793750000000001	6.8		17.506249999999998	18
	7.0875	8.5		17.756249999999998	18.1
	7.987500000000002	6.1		19.162499999999998	14.7
	8.78125	2		20.137500000000003	13.4
	9.65	4		20.275000000000002	18.2
	9.875000000000002	7.8		19.6375	22.5
	9.768749999999999	9.6		18.856250000000003	23.3
	8.71875	11.6		18.4375	25.5
	8.481250000000001	11.4		17.43125	26.8
	8.162500000000001	14.7		18.606250000000003	25.8
	8.4	12.2		18.95625	18.9
	8.4375	9.1		18.793750000000003	20.6
	8.13125	9.7		19.26875	19.9
	9.325	8.6		21.118750000000002	22.7
	9.937500000000002	11.6		21.175	21.6
	9.975	7.7		20.26875	13.3
	9.66875	5.5		18.3125	17.3
	9.262500000000001	8.3		17.7875	16
Mai	9.049999999999999	8.7		16.66875	14.1
	8.44375	8.6		17.337500000000002	9.5
	9.03125	7.6		16.6375	16.4
	8.9625	6		17.9875	19.2
	9.399999999999999	8.4		20.593749999999996	21
	10.31875	11.1		21.2875	20.6
	11.03125	12.4		21.3	22.4
	11.625	10.8		20.918749999999996	23.4
	11.69375	12.1		20.412500000000005	24.8
	11.143749999999999	13.9		21.0875	28.6
	11.18125	15.9		19.95	28.2
	10.687500000000002	14.4		21.212500000000002	29.3
	11.231250000000001	16.6		20.64375	28.8
	10.599999999999998	12.3		20.7	23.2
	10.94375	10.5		20.86875	24.9
	11.050000000000002	13.1		20.71875	26.3
	11.493749999999999	12.9		21.650000000000002	26.1
	11.918750000000001	13.8		22.0375	20.1
	12.818750000000001	11.6		22.168750000000003	25.8
	12.49375	12.5		22.956250000000004	15.8
	13.29375	10.5		24.006249999999998	25.1
	13.45	11.9		23.81875	17.7
	13.41875	10.2		23.656250000000004	24.2
	13.69375	13.5		24.243749999999995	27.1
	14.237499999999999	13.5		24.700000000000003	27.6
	14.331249999999999	15		24.568749999999998	27.8
	14.468749999999998	10.4		24.60625	14.4
	14.225	9.4		24.556250000000002	18.3
	14.562499999999998	9.5		25.231250000000003	17.7
	13.700000000000001	13.4		24.0625	23.8
	13.225000000000001	13.8		23.556250000000002	20.9
Juin	13.09375	12.1		24.600000000000005	22.8
	13.956250000000002	10.9		23.6875	25.6
	14.2	15.2		24.668750000000003	26.8
	14.4875	15.8		25.931250000000002	28.3
	15.112499999999999	17.8		26.35625	32
	15.5	19		26.587499999999995	34.3
	15.64375	17.7		25.418750000000003	33.8
	14.90625	18.8		26.725	31.8
	15.375000000000002	17.8		25.68125	30.9
	14.725	17.2		24.618749999999995	30.9
	14.587499999999999	18.4		24.774999999999995	33.1
	14.65625	20		25.89375	35.5
	15.125	22.1		26.000000000000004	38.1
	15.225	22.3		26.199999999999996	39.3
	15.975000000000001	22.2		28.00625	39.1
	15.53125	20.6		27.018750000000004	36
	15.287499999999998	18		27.1875	33.4
	15.56875	17.3		26.606250000000003	28.6
	15.637500000000001	18		27.150000000000002	26.6
	15.675	14.4		26.849999999999994	27.6
	16.1125	15.7		27.59375	25.3
	16.3	15.8		28.743749999999995	24.4
	16.84375	17.9		28.099999999999998	30
	15.69375	17		25.912499999999994	25.2
	15.206249999999999	14.3		26.75625	27.1
	16.00625	15.6		27.150000000000002	29.2
	16.0875	17		27.13125	28.8
	16.3625	17.2		27.9125	26.8
	16.58125	17.2		27.612500000000004	31.3
	15.98125	18.3		27.012499999999996	33.7
Juil.	15.5625	19.2		26.649999999999995	30.1
	15.85	19.4		27.375	32
	16.35	19.5		27.218749999999996	35.2
	16.5	20		26.76875	30.3
	16.7375	18.3		28.687500000000004	28.5
	17.41875	14.3		29.06875	27.4
	17.46875	14.7		27.593750000000004	26
	17.025000000000002	14.4		28.20625	24.8
	17.63125	15.5		28.20625	22.8
	16.79375	13		27.8	24.1
	16.9625	13.9		27.118750000000002	29.8
	16.706249999999997	16.5		26.04375	32.8
	16.2875	20.8		26.431250000000002	27.3
	17.35625	18.1		28.337500000000002	30.6
	17.443749999999998	18.2		27.59375	34.9
	17.04375	20.1		26.20625	36.3
	16.74375	21.7		27.312499999999993	38.3
	17.0375	21.9		28.143750000000004	34.7
	17.424999999999997	19.9		28.275	30.3
	17.14375	21.1		28.531250000000004	38
	17.356250000000003	22.8		27.675	39.2
	16.906250000000004	23.9		27.768749999999997	39.3
	16.9375	22.7		26.000000000000004	36
	16.63125	21.4		27.81875	32.4
	17.28125	20.3		28.099999999999998	31.1
	17.306250000000006	18.2		28.91875	33.6
	17.006249999999998		20.7	28.393750000000004		35.9
	16.0875		23	27.374999999999996		33
	16.124999999999996		17.4	27.174999999999997		30.1
	16.61875		16	28.09375		30.5
	17.224999999999998		16.3	28.10625		31.2
Août	17.31875		18	29.1875		35.1
	16.5875		20.7	27.943749999999998		37
	16.099999999999998		21.1	27.24375		28.9
	16.875		16.7	27.95625		28.1
	16.81875		16.8	27.331249999999997		27.3
	16.40625		16.2	26.168750000000003		27.1
	16.012500000000003		16.3	26.49375		26
	16.21875		16.1	26.650000000000002		26.8
	16.275		16	26.631250000000005		26.6
	16.325		16.2	26.95625		26.9
	16.1625		16	26.431250000000002		26.2
	16.174999999999997		15.7	27.06875		26.6
	15.337500000000002		15.5	26.2125		26.4
	15.337500000000002		15.4	25.44375		26.4
	15.193750000000001		15.6	26.168749999999996		25.9
	15.65625		15.3	25.525		25.2
	15.256250000000001		14.6	25.71875		24.8
	14.925		14.6	24.1		23.8
	13.75		13.8	22.606250000000003		23.6
	14.125000000000002		14.4	23.69375		24.1
	14.237499999999999		14.4	24.656249999999996		24.6
	14.043750000000001		14	25.1125		24.3
	13.88125		13.4	24		22.6
	13.41875		12.9	22.806250000000002		23.5
	13.487499999999999		13.5	23.931250000000002		24.3
	13.55625		13.3	24.099999999999998		23.9
	13.4625			24.200000000000003
	14.187499999999998			23.650000000000002
	14.2			24.25
	13.599999999999998			24.1
	13.7125			21.9375
Sep.	13			23.04375
	13.63125			22.11875
	12.7375			20.849999999999998
	11.93125			20.812500000000007
	11.650000000000002			19.71875
	10.7375			20.1
	11.349999999999998			20.94375
	10.781250000000002			19.631249999999998
	10.737499999999997			19.44375
	10.61875			19.225
	11.037500000000001			19.668750000000003
	11.01875			19.825
	10.725			19.85
	10.956250000000002			19.425
	9.931249999999999			18.29375
	9.743749999999999			17.724999999999998
	8.956249999999997			18.16875
	9.3375			18.125
	9.49375			17.7125
	9.4375			18.3
	9.69375			17.75625
	9.1875			16.35625
	9.275			16.925
	8.612499999999999			16.175
	8.043750000000001			16.21875
	8.3125			16.83125
	8.76875			17.731250000000003
	7.924999999999999			16.518749999999997
	8.2375			15.387500000000001
	8.21875			15.706250000000002
Oct.	8.05			15.38125
	8.274999999999999			15.8375
	7.2625			14.61875
	7.0375			14.649999999999999
	6.843749999999999			14.7125
	7.5062500000000005			15.4375
	7.61875			15.274999999999999
	6.91875			14.150000000000002
	7.393749999999999			15.00625
	7.518750000000001			14.075000000000001
	7.718749999999999			14.787500000000001
	7.643750000000001			14.956249999999999
	7.79375			14.04375
	6.731249999999999			13.487500000000002
	6.35625			13.556249999999999
	6.6312500000000005			12.9
	5.69375			13.34375
	6.806250000000001			14.0625
	6.4625			13.387500000000001
	5.968750000000001			13.262500000000001
	6.2375			13.13125
	6.249999999999999			13.087499999999999
	5.925			12.650000000000002
	5.83125			12.76875
	5.6875			12.049999999999999
	5.043749999999999			11.54375
	5.312500000000001			11.387500000000001
	4.74375			10.606250000000001
	4.73125			10.11875
	4.025			9.66875
	3.95625			9.374999999999998
Nov.	3.7874999999999996			9.175
	4.04375			9.61875
	3.5312500000000004			8.80625
	3.3			8.887500000000001
	3.2500000000000004			8.525
	3.5125000000000006			8.325000000000001
	2.99375			7.481250000000001
	2.96875			7.425
	1.7625			6.925000000000002
	1.7874999999999996			6.768749999999999
	1.1125			5.80625
	1.20625			5.55625
	0.55625			5.2
	0.6375			5.687500000000001
	0.39374999999999993			5.15625
	0.012500000000000039			4.343749999999999
	-0.09374999999999994			4.3
	-0.46875000000000006			3.6999999999999997
	-1.15625			3.4437500000000005
	-1.3750000000000002			4.062499999999999
	-0.8250000000000001			4.4937499999999995
	-0.0812500000000001			4.61875
	0.30624999999999997			5.406249999999999
	0.20000000000000007			4.96875
	0.36249999999999993			4.6125
	0.05624999999999991			4.53125
	0.0625			5.2375
	0.22500000000000006			5.025000000000001
	-0.6625000000000001			4.23125
	-0.8125000000000001			3.6874999999999996
Déc.	-0.39999999999999997			4.175
	-0.22500000000000003			4.15
	-0.25			4.2437499999999995
	-0.28125			4.3125
	-0.21874999999999983			4.85
	-0.15			4.3125
	-0.17500000000000016			4.425
	0.5375			5.168749999999999
	1.2375			5.76875
	1.9687499999999998			7.2125
	1.8			7.0687500000000005
	1.3625			5.4375
	0.3375			5.81875
	-0.6625000000000001			4.674999999999999
	-1.19375			3.8875
	-1.35			4.025
	-0.5866666666666666			5.0133333333333345

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

39°C

Temp. la Plus Haute

28 Juin 26

-8°C

Temp. la Plus Basse

21 Fév. 26

Analyse Saisonnière

Mois le Plus ChaudAoût34.96°C

Mois le Plus FroidJanvier-2.03°C

Mois le Plus PluvieuxJuin2.07mm

Mois le Plus VenteuxJuillet21.77km/h

Vienna Perspectives sur le Changement ClimatiqueDécouvrez comment les modèles climatiques évoluent dans le temps. Changements de température, tendances pluviométriques et événements extrêmes—tout en un seul endroit.

Classement Mondial des Villes par MétéoExplorez en temps réel les villes les plus chaudes et les plus froides du monde selon les données de température actuelles.

Frequently Asked Questions

1. Quel est le mois historiquement le plus chaud à Vienna?

Août est historiquement le mois le plus chaud de Vienna, avec des températures maximales moyennes d'environ 28°C. Lors des pics de vagues de chaleur, les températures les plus élevées enregistrées ont atteint 39°C le 2026-06-28.

2. Quel est le mois historiquement le plus froid à Vienna?

Janvier est le mois le plus froid de Vienna, avec des températures minimales moyennes d'environ -2°C. Le record absolu le plus bas de -19°C a été enregistré le 2013-01-27.

3. Quelle est la pluviométrie annuelle moyenne à Vienna sur les 17 dernières années?

La pluviométrie annuelle moyenne de Vienna est d'environ 644.2mm, basée sur des enregistrements couvrant 17 ans.

4. Combien de jours de pluie Vienna connaît-elle en moyenne par an?

Vienna enregistre historiquement environ 180.7 jours de pluie par an. Septembre a le plus grand nombre de jours de pluie avec une moyenne de 13.4 jours.

5. Quelle est la température la plus élevée jamais enregistrée à Vienna?

La température la plus élevée jamais enregistrée à Vienna est 39°C le 2026-06-28.

6. Quelle est la température la plus basse jamais enregistrée à Vienna?

La température la plus basse jamais enregistrée à Vienna est -19°C le 2013-01-27.

7. Quelle est historiquement la période la plus venteuse de l'année à Vienna?

Vienna connaît ses vents les plus forts pendant Février. Le record historique de rafale de 51 kph a été enregistré le 2017-10-29.

8. Quelle est l'humidité la plus haute et la plus basse à Vienna au cours d'une année?

Habituellement, l'humidité de Vienna atteint son maximum en Janvier à environ 81.4% et descend à son minimum en Août à environ 59.4%.

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