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

Bamberg Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.575	-1.4		5.425	0.3
	-0.19375000000000017	-2.7		4.331250000000001	0.8
	0.3125000000000001	-4		3.9812499999999997	-2.4
	0.04999999999999996	-4.3		4.175000000000001	-1.7
	-0.8812499999999999	-10.9		3.5375	-2.4
	-0.4312499999999999	-10.8		3.6499999999999995	-2.7
	-0.5812499999999999	-11.1		3.618750000000001	-3.7
	0.16875000000000007	-9.1		3.84375	-1
	0.06249999999999985	-1.2		4.61875	4.9
	-0.6187499999999999	-7.3		3.73125	1.7
	-1.88125	-9.6		2.7499999999999996	-3.3
	-0.825	-9.4		3.1750000000000003	1.9
	-0.8999999999999999	1.8		3.71875	4.1
	-0.85625	-0.9		3.45625	4.6
Jan.	-1.5750000000000002	1.1		3.1	6
	-1.7874999999999999	-1.3		2.78125	4.8
	-2.2499999999999996	1.2		2.88125	3.6
	-2.6812499999999995	-1.7		2.6624999999999996	3.6
	-3.062499999999999	-3.4		2.03125	3.6
	-3.26875	-4.3		2.0999999999999996	2.8
	-3.48125	-5.7		1.99375	3
	-2.725	-6.5		2.325	1.9
	-2.4187500000000006	-6.4		2.1312499999999996	1.5
	-1.9562500000000003	-5.2		2.49375	0.6
	-1.7937500000000002	-5.3		2.375	2.7
	-2.075	-0.5		2.7937499999999997	1.6
	-1.6375	-2		3.28125	3.2
	-1.35625	-1.3		3.29375	3
	-1.4812500000000002	-0.7		3.6	2.7
	-1.9499999999999995	-0.4		4.2	3.3
	-1.675	-3.6		3.2687500000000003	3.7
	-1.0500000000000003	-0.7		3.6062499999999997	1.8
	-1.15625	-4		3.95	3.1
	-0.6625000000000001	-2.9		3.8499999999999996	1.7
	-1.0187499999999998	-3.7		3.6625	4.1
	-1.41875	0		3.25	4.2
	-1.5187499999999996	-3.2		3.6625000000000005	3.8
	-2.2499999999999996	3.1		3.6312500000000005	6.5
	-2.40625	1.6		3.675	5.5
	-2.5562500000000004	2.5		3.6374999999999997	4.5
	-2.39375	-1.3		3.3625	7.8
	-2.5375	2.7		2.5812500000000003	8.9
	-3.06875	3.1		2.7437500000000004	9.4
	-3.13125	4.4		3.6687500000000006	6.7
	-2.1499999999999995	-1.6		4.75	2.8
Fév.	-1.4	-2.6		5.356250000000001	2.2
	-0.7562499999999996	-0.4		6.81875	4.2
	0.25	0.6		6.3062499999999995	3
	0.5562499999999998	-3.9		6.925	2.2
	0.30625	-0.6		5.4312499999999995	3.2
	-0.4125000000000002	-6		6.4125	4.7
	0.6625000000000002	3.7		6.718750000000001	7.7
	0.4812499999999999	7.4		6.64375	9.8
	0.5187499999999999	8.1		6.8875	10.4
	-0.06250000000000015	4.5		7.3125	10.6
	0.12499999999999989	2.4		7.200000000000001	12.3
	-0.7062499999999999	3		6.6625000000000005	15
	-0.6499999999999999	5.6		6.3625	16.7
	-0.2374999999999999	4.9		6.718750000000001	14.6
	-0.36874999999999997	3.5		7.237499999999999	10.6
	0.14999999999999997	1.6		7.543749999999999	12.7
	0.20625000000000007	1.7		8.293750000000001	13.2
	0.17499999999999996	2.7		8.575000000000001	13.5
	-0.11249999999999998	2.6		7.5125	14.8
	-0.49999999999999994	2.4		7.25	15
	-0.14375000000000002	2.6		7.612500000000001	15.1
	-0.46875000000000017	3.2		8.55	14.7
	0.6562500000000001	3.8		9.106250000000001	14.7
	1.0499999999999998	4.5		10.0375	15.2
	1.2375	6.1		9.0375	14.1
	1.5812499999999998	3.8		8.768749999999999	11.2
	1.4875	1.3		9.274999999999999	13.6
	1.36875	4.2		8.587499999999999	10.7
Mar.	1.1937499999999999	2.2		8.500000000000002	6.3
	1.6250000000000002	-0.4		10.05	7.2
	1.3187500000000003	-0.3		10.3875	5.4
	1.6812500000000001	-1.1		9.78125	12.6
	1.9375	1.5		10.168750000000001	13.3
	1.7875000000000003	1.5		10.775	12.8
	2.06875	3.9		11.562500000000002	10.5
	2.39375	2.7		10.825000000000003	13.4
	2.16875	0.8		11.087500000000002	13.6
	2.1125	2.3		11.63125	14.5
	1.9124999999999996	1.1		11.43125	10.2
	2.2812500000000004	-2		10.406249999999998	5.7
	2.10625	-3.3		11.137500000000003	7.6
	2.43125	-2.8		13.06875	9.5
	4.137499999999999	-1.1		12.906249999999998	6.5
	3.5625000000000004	-0.8		13.3125	6.1
	3.9437499999999996	1.2		12.35625	5.4
	3.4875000000000003	0.5		11.524999999999999	10.8
	2.4312499999999995	-1.6		11.493749999999999	12.1
	3.037500000000001	1.3		12.66875	12.1
	2.9499999999999997	5.5		12.4875	12.8
	3.4125	4.5		11.90625	17.9
	3.2687500000000003	2.4		12.500000000000002	13.7
	3.66875	1.4		14.243749999999999	16.1
	3.7875	0.4		13.225	15.9
	4.0687500000000005	1.9		14.55625	16.6
	4.375000000000001	4.3		14.543750000000001	12.1
	4.712500000000001	1.5		14.431249999999999	15.8
	4.693750000000001	7.1		14.000000000000002	8.1
	4.9375	6.8		13.712500000000002	16.3
	4.325	7.1		13.981250000000001	8.9
Avr.	4.825	6.1		14.212499999999999	15.4
	4.7562500000000005	8.8		14.39375	17.6
	4.41875	6.1		13.918749999999998	20.1
	4.5625	8.3		13.856249999999998	20
	4.575	4.2		14.937500000000002	13.5
	5.05	2.1		15.487499999999999	11
	5.3187500000000005	1.9		16.2125	11.7
	5.6125	-0.1		16.14375	14.9
	5.9	0.6		15.900000000000002	18
	5.493750000000001	1.4		15.9875	17.9
	6.0125	2.7		15.5125	18.8
	5.4375	2.7		14.250000000000002	16.2
	4.575	1.7		14.86875	18.5
	5.356250000000001	6.4		16.23125	19.2
	6.843749999999999	3.3		17.59375	16.7
	7.84375	1.2		17.00625	16.4
	7.49375	2.7		17.19375	21.4
	7.55	5.4		16.474999999999998	25
	7.3	7.8		15.749999999999998	24.8
	6.5625	10.1		15.118750000000002	23
	6.1875	10.9		16.15	23.6
	6.64375	9.8		16.424999999999997	19
	6.9312499999999995	8.3		16.775000000000002	10.7
	7.137500000000001	5.8		17.775	17.4
	8.3125	4		18.5875	21.3
	8.650000000000002	6.2		19.306250000000002	23
	9.256249999999998	3.9		19.406249999999996	14.8
	9.30625	1.6		18.175	11
	8.1	0.3		16.762499999999996	11.3
	7.71875	3.4		17.024999999999995	12.5
Mai	7.23125	2.1		16.83125	11.8
	7.4375	1.1		16.668750000000003	13.3
	7.837499999999999	1.6		16.79375	16.1
	7.887499999999999	3.3		17.831250000000004	18.1
	8.112499999999999	4.4		19.61875	17.2
	9.837500000000002	8.9		19.475000000000005	17.5
	10.0375	7.4		20.21875	19.4
	10.3	8.3		20.70625	25.7
	10.11875	11.2		19.83125	28.3
	9.562500000000002	13.8		18.78125	29.7
	9.537500000000001	12.3		18.38125	28.5
	9.8	12.3		18.993750000000002	30.8
	9.831249999999999	12.5		18.86875	28.4
	9.775	8.3		19.2625	24.5
	9.781249999999998	7.3		19.3	27.1
	9.687499999999998	13.7		20.05625	26.2
	10.406249999999998	12.2		20.593749999999996	22.8
	10.643749999999997	12.5		19.8625	21.8
	11.1875	10.8		20.512499999999996	25.4
	12.11875	10.4		22.356249999999996	18.6
	12.1	10.1		22.4375	21
	12.493750000000002	10.1		22.643750000000004	19.6
	11.843749999999998	6.9		21.737499999999997	23
	11.993749999999999	9.9		21.84375	21.3
	12.2875	9		21.831250000000004	26.2
	12.01875	10.2		22.65625	19.6
	12.731250000000001	9		22.23125	17.5
	12.787500000000001	6.5		22.3375	16.8
	12.40625	7.8		22.287499999999998	14.7
	11.76875	11.2		21.4875	23
	11.743750000000002	8		22.2375	17.2
Juin	12.249999999999998	5.7		22.243750000000002	19.8
	12.5125	7.4		21.881249999999998	20.1
	12.587500000000002	10.9		23.44375	25.7
	13.75	13.7		23.937499999999996	30.5
	14.262500000000001	16.2		24.537499999999998	34.1
	13.4875	16.3		23.493750000000002	32.5
	12.3875	16.2		22.925	34.3
	13.21875	15		23.381249999999998	32.5
	13.1	16.7		21.756249999999998	31.6
	12.53125	16		22.7375	32.8
	12.899999999999999	17.6		23.581249999999997	34.9
	13.5875	19.1		24.1625	36.7
	13.687499999999998	20.5		23.85625	37.9
	13.706249999999999	20.5		24.61875	36
	14.512500000000001	18.4		24.65625	29.1
	14.481250000000001	17.9		24.450000000000003	28.3
	13.6625	14.1		23.437500000000004	21.3
	13.64375	11.8		23.987499999999997	26.9
	13.593750000000002	10.5		23.650000000000002	24.1
	13.80625	9.8		24.468750000000004	25.2
	14.068749999999998	13		25.21875	21.7
	14.76875	12.2		25.03125	25.6
	13.975	13.7		23.799999999999997	30.2
	13.293749999999998	17.2		23	22.2
	13.275000000000002	11.5		23.325000000000003	26.6
	14.05	12.2		24.018749999999994	29.1
	14.781250000000002	13.7		24.193750000000005	28.1
	14.39375	12.9		24.675000000000004	29.6
	13.95	14.4		22.925000000000008	31.3
	13.51875	15.7		23.162499999999998	30.8
Juil.	13.6125	14		23.44375	27.9
	13.40625	12.9		23.774999999999995	29.8
	13.762499999999998	15.6		24.162500000000005	26.3
	14.500000000000002	14.2		24.88125	24.5
	14.956249999999999	11		26.9375	22.1
	15.725000000000001	7.9		26.631249999999998	21.9
	15.80625	8.2		25.23125	21.4
	15.843750000000002	9.4		25.53125	22.5
	15.249999999999998	8.3		24.868750000000002	20.2
	15.018749999999999	7.3		25.393750000000004	25.4
	14.906249999999998	10.6		25.256249999999998	30.4
	14.83125	13.6		24.937500000000004	28.6
	15.418750000000001	14.1		24.59375	22.4
	15.618749999999999	11.3		24.7	27.3
	15.225000000000003	13.5		23.374999999999996	33.3
	14.343750000000002	17.4		23.25	36.9
	14.162499999999998	16.3		23.98125	34.8
	15.38125	13.9		25.14375	24.4
	15.556249999999999	12.3		25.993750000000002	28.7
	15.825000000000001	15.2		24.75	34.6
	15.6	17		24.556249999999995	35.1
	15.287500000000003	17.7		24.443750000000005	31.7
	14.43125	16.3		23.906250000000004	28.7
	14.493749999999999		11.7	24.625000000000004		26.9
	14.968749999999998		10.3	25.3		28.8
	15.26875		12.8	24.88125		32.4
	14.4375		15.3	24.23125		34.8
	14.337500000000002		14.7	24.074999999999996		26.8
	13.95625		9.7	23.9625		28.5
	15.156250000000002		12	25.150000000000006		31.2
	15.506249999999998		14.8	25.743750000000002		35.2
Août	15.431250000000002		17.6	25.087500000000002		32.7
	14.8		14.7	24.25625		24.3
	14.456250000000002		14.4	24.0125		24
	14.506249999999998		14.4	24.118749999999995		24.3
	14.275		14.5	23.45		24
	14.1375		14.7	23.993749999999995		24.9
	14.299999999999999		14.3	25.28125		24.8
	14.51875		14	25.3875		24.2
	14.24375		14	23.862500000000004		24.4
	13.906250000000002		14.2	24.18125		24.5
	13.831249999999999		13.8	23.64375		23.6
	14.362499999999995		14.4	24.14375		23.7
	14.00625		13.8	22.39375		23.1
	13.399999999999999		13.9	22.46875		23
	13.612499999999999		13.6	23.34375		22.7
	13.831249999999999		13.4	22.881249999999998		22.2
	13.387500000000001		13	21.575		21.4
	12.356249999999998		12.5	20.756249999999998		21.3
	11.937499999999998		12	20.3875		20.8
	12.218749999999998		12.5	21.843750000000004		22
	12.55		12.7	23.35625		23
	13.2		13	22.593750000000004		22.1
	13.050000000000002		12.5	22.93125		21.8
	12.912500000000001			20.937500000000004
	11.918750000000001			21.450000000000003
	12.2			21.299999999999997
	12.231250000000001			21.09375
	12.187499999999998			21.08125
	11.993749999999999			21.26875
	11.9625			20.306249999999995
	11.518749999999999			19.512500000000003
Sep.	11.781249999999998			19.5875
	10.856250000000001			19.5125
	10.7			18.849999999999998
	10.206250000000002			18.60625
	10.087500000000002			18.318750000000005
	9.631250000000001			18.70625
	9.231250000000001			19.1875
	8.7375			18.08125
	8.981250000000001			18.306250000000006
	9.4625			18.162499999999998
	9.225			17.4625
	8.993749999999999			17.83125
	9.712499999999999			17.38125
	9.206249999999999			17.356249999999996
	8.7			17.356250000000003
	8.39375			16.862500000000004
	8.0875			16.63125
	7.993749999999999			16.775
	8.31875			17.224999999999998
	7.625000000000001			15.618749999999999
	7.843749999999999			14.887500000000001
	7.80625			15.149999999999997
	8.1875			15.162500000000001
	8.36875			14.918749999999998
	7.012500000000001			15.418750000000003
	7.606249999999999			15.456249999999999
	7.174999999999999			15.150000000000004
	6.2625			14.34375
	6.775			14.74375
	6.3374999999999995			14.600000000000001
Oct.	6.493749999999999			13.737499999999999
	6.918750000000001			13.587500000000002
	6.556250000000001			14.362499999999999
	6.1			14.9625
	6.69375			13.756249999999996
	7.325			14.031250000000004
	6.931250000000001			13.925
	6.10625			13.006250000000001
	6.1625000000000005			13.231250000000001
	6.418749999999999			12.850000000000001
	7			13.19375
	6.968750000000001			13.581250000000002
	5.875			12.225000000000001
	5.48125			11.54375
	4.981250000000001			12.225
	5.087500000000001			12.08125
	5.2875			12.756250000000003
	5.4875			12.34375
	5.3062499999999995			11.893749999999999
	5.456249999999999			11.59375
	5.450000000000001			11.64375
	4.9375			10.74375
	4.56875			10.887500000000001
	4.643750000000001			9.925
	4.5687500000000005			10.068750000000001
	4.05			9.918750000000001
	3.5125			9.36875
	3.1437500000000003			8.7625
	3.54375			9.2
	3.4187499999999997			9.6375
	3.40625			9.1875
Nov.	3.5937500000000004			9.075000000000001
	2.34375			7.731249999999998
	2.4812499999999997			7.175
	2.6625			7.043750000000001
	2.56875			7.225
	1.7312499999999997			6.5249999999999995
	1.0875000000000001			5.918749999999999
	0.49999999999999994			5.43125
	1.10625			6.23125
	1.5562499999999997			6.2124999999999995
	0.75			5.56875
	0.55			5.5125
	0.3937500000000001			4.6125
	0.425			4.837500000000001
	-0.4000000000000001			4.60625
	-0.3999999999999999			3.7874999999999996
	-0.5562500000000001			3.943749999999999
	-1.1125			3.6125000000000007
	-1.6124999999999998			2.7624999999999997
	-1.24375			3.2499999999999996
	-0.7124999999999999			3.78125
	0.01874999999999999			3.5250000000000004
	0.39999999999999997			4.5875
	0.012499999999999956			4.0687500000000005
	-0.23125000000000007			4
	-0.7625000000000003			3.6687499999999993
	0.58125			3.8000000000000003
	-0.01874999999999996			3.9749999999999996
	-0.4375			3.825
	-0.1625000000000001			3.75625
Déc.	-0.14374999999999993			4.05625
	0.024999999999999994			4.33125
	0.8125			4.9125
	0.03749999999999998			4.4375
	0.2250000000000001			4.9437500000000005
	0.5249999999999999			5.30625
	0.6749999999999999			4.9375
	1.4249999999999996			5.356249999999999
	2.525			6.431249999999999
	2.38125			6.4375
	1.525			5.775000000000001
	0.5062499999999999			4.937499999999999
	0.34375			4.75
	-0.9249999999999999			3.7875000000000005
	-0.7250000000000002			3.6125000000000003
	-1.0437500000000004			4.125
	0.9400000000000001			5.146666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

38°C

Temp. la Plus Haute

27 Juin 26

-11°C

Temp. la Plus Basse

7 Jan. 26

Analyse Saisonnière

Mois le Plus ChaudAoût30.53°C

Mois le Plus FroidJanvier-4.09°C

Mois le Plus PluvieuxFévrier2.92mm

Mois le Plus VenteuxJuillet15.85km/h

Bamberg 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 Bamberg?

Août est historiquement le mois le plus chaud de Bamberg, avec des températures maximales moyennes d'environ 25°C. Lors des pics de vagues de chaleur, les températures les plus élevées enregistrées ont atteint 38°C le 2026-06-27.

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

Janvier est le mois le plus froid de Bamberg, avec des températures minimales moyennes d'environ -1°C. Le record absolu le plus bas de -16°C a été enregistré le 2012-02-07.

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

La pluviométrie annuelle moyenne de Bamberg est d'environ 787.6mm, basée sur des enregistrements couvrant 17 ans.

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

Bamberg enregistre historiquement environ 206.1 jours de pluie par an. Décembre a le plus grand nombre de jours de pluie avec une moyenne de 20.3 jours.

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

La température la plus élevée jamais enregistrée à Bamberg est 38°C le 2026-06-27.

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

La température la plus basse jamais enregistrée à Bamberg est -16°C le 2012-02-07.

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

Bamberg connaît ses vents les plus forts pendant Février. Le record historique de rafale de 46.1 kph a été enregistré le 2015-03-31.

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

Habituellement, l'humidité de Bamberg atteint son maximum en Janvier à environ 88.7% et descend à son minimum en Juillet à environ 70.2%.

Articles récents sur la météo

Voir tous les blogs

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

Bamberg Graphique des Tendances Météorologiques

Résumé Annuel 2026

Analyse Saisonnière

Frequently Asked Questions

Articles récents sur la météo

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Bamberg Archives Météorologiques HistoriquesAnalysez les jours les plus chauds, froids, venteux et pluvieux

Bamberg Graphique des Tendances Météorologiques

Résumé Annuel 2026

Analyse Saisonnière

Frequently Asked Questions

Articles récents sur la météo

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

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