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

Bielawa Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.04375000000000015	-1.5		4.725	0.6
	-0.44374999999999976	-2.7		3.7187500000000004	-0.3
	-1.2812500000000002	-4.2		2.75	-2.4
	-1.225	-4.9		2.9062500000000004	-2
	-1.7125000000000001	-9.4		2.4	-2.1
	-2.4124999999999996	-9.9		1.6749999999999998	-4.8
	-3.4687499999999996	-10.5		1.0375	-5.6
	-2.59375	-11.8		1.3312499999999998	-4.6
	-1.98125	-11.5		2.4124999999999996	-5.6
	-1.76875	-12.8		2.15625	-6
	-3.0124999999999997	-10		1.2437500000000001	-5.6
	-2.0624999999999996	-12.6		1.6	-4
	-1.5499999999999998	-4.6		2.0124999999999997	1.8
	-1.9312499999999997	1.1		1.9999999999999996	3.2
Jan.	-2.5000000000000004	1.6		1.5312499999999998	3.3
	-2.65625	0.8		1.6812500000000001	3.3
	-3.225	-2.7		1.81875	1.8
	-3.91875	-3.3		1.49375	1.4
	-3.9250000000000003	-3.8		0.81875	1.7
	-4.143749999999999	-4.5		0.65625	3.6
	-4.05	-3.1		-0.14999999999999997	4.2
	-4.481250000000002	-5.7		-0.06875000000000003	0.6
	-5.356250000000001	-4.1		-0.27499999999999997	0.8
	-4.825000000000001	-1.9		-0.3562500000000004	0.1
	-4.3187500000000005	-1.1		-0.11875000000000008	0.9
	-4.731249999999999	-0.5		0.12499999999999983	3.6
	-4.099999999999999	-1.4		1.14375	3.3
	-2.8937499999999994	-2.2		2.04375	1
	-3.2749999999999995	-2.4		1.96875	-0.7
	-3.5937500000000004	-2.7		2.7249999999999996	-0.1
	-3.806250000000001	-6.2		1.4874999999999996	-2.1
	-3.5250000000000004	-8.6		1.8187499999999996	-4.9
	-2.7875000000000005	-9.6		2.39375	-4
	-1.9749999999999996	-8.7		2.64375	-1.9
	-2.7375000000000003	-3.2		2.3687500000000004	1.7
	-2.7875	-0.3		1.90625	7.2
	-3.525	1.2		1.225	3.7
	-3.95	0.5		0.8124999999999999	2.7
	-4.025	-0.4		1.025	1.8
	-3.9499999999999997	-2.7		2.0875	0.1
	-3.1	0		2.45	2.9
	-3.0874999999999995	0.1		1.59375	6.8
	-3.9437499999999996	5		1.4375	9.2
	-3.1937499999999996	2.8		2.18125	6.4
	-3.1312500000000005	-2.7		2.474999999999999	2
Fév.	-2.2375	-7.5		4.331250000000001	-2.2
	-1.6062499999999997	-6.5		4.5249999999999995	2.2
	-1.2125000000000001	-1.1		5.18125	3.7
	-0.5249999999999999	-3.5		4.893750000000001	1.9
	-1.06875	-4.1		4.5125	0.3
	-1.99375	-7.8		4.3	-1.6
	-1.4437499999999992	-6		4.4625	3
	-1.2937499999999997	2.3		4.875	7.2
	-0.8312500000000003	2.7		5.41875	9
	-0.8624999999999998	3.4		5.98125	5.5
	-0.6499999999999999	1.5		5.675	6.8
	-0.8749999999999997	0.3		4.8125	10.9
	-1.5875000000000001	3.1		4.91875	13.1
	-0.9250000000000002	2.9		5.09375	13.2
	-0.9937499999999998	4.3		4.73125	11.2
	-0.80625	2.2		6.399999999999999	11.1
	-1.1250000000000002	2.7		6.2375	13
	-0.48750000000000004	3.2		6.64375	11
	-1.0062499999999999	2.6		5.949999999999998	11.5
	-1.40625	1.3		6.16875	11.8
	-0.4874999999999998	3.6		6.20625	14.6
	-1.0687499999999996	4.5		6.231250000000001	12.8
	-0.3249999999999999	3.9		6.86875	13.2
	0.2937499999999999	6.2		8.149999999999999	12.7
	0.3249999999999999	5.3		7.275	15.4
	0.83125	6.1		7.525	12.6
	1.65625	3.3		8.26875	14.6
	1.275	6.2		7.9125000000000005	15.1
Mar.	0.8	4.6		6.51875	9.2
	0.26250000000000007	3.2		6.949999999999999	9.8
	0.10625000000000001	0.4		8.55625	7.3
	-0.03749999999999998	2.5		7.925000000000002	11.5
	-0.2687500000000001	1		7.9624999999999995	10.5
	0.35625	2.2		8.86875	6.7
	1.5250000000000006	1.4		9.956249999999999	8.7
	1.025	0		9.725	10.5
	1.1749999999999998	2.3		9.2625	12.7
	1.2625	4.1		9.893749999999999	13.4
	1.2125	5.5		10.10625	14
	1.6875	1.3		9.45625	7
	0.5562499999999999	0.1		9.04375	6.8
	1.50625	-1		11.18125	9.5
	3.4375	1.9		11.837499999999999	7.4
	3.05	-1.5		12.287500000000001	5.9
	3.3000000000000003	-0.4		11.56875	3.6
	2.94375	2.1		10.1625	9.8
	1.79375	1		10.025	10.6
	1.7499999999999998	1.7		10.85	11.1
	2.75625	3.1		11.831250000000004	11.2
	2.7687500000000003	4.8		11.531250000000002	19.7
	2.443749999999999	5.3		10.250000000000002	10.6
	2.9812499999999997	1.2		12.012500000000001	10.5
	4.1000000000000005	-1		12.899999999999999	7.3
	3.51875	-2.2		12.3625	7.5
	3.75625	-2.1		12.287499999999998	8.1
	3.7937499999999993	0		11.568750000000001	10
	3.99375	-0.3		13.406250000000002	13.6
	4.3125	6.3		12.762500000000001	14.4
	4.375	4.7		13.325000000000001	17
Avr.	4.431249999999999	7.6		12.625	12.9
	3.9875000000000007	7.1		12.1625	15.9
	3.71875	6		13.012499999999998	15.7
	4.06875	3.7		13.225	16.2
	3.8062499999999995	6.5		13.006250000000001	15.4
	3.9375	3.7		13.8375	7.9
	4.08125	2.5		14.725000000000001	10.8
	4.6875	-0.9		14.268749999999999	12.8
	4.56875	3.8		15.00625	14.5
	5.2562500000000005	3.6		15.16875	13.2
	5.543749999999998	3.5		14.46875	15.9
	4.675	2.6		13.731250000000001	11.2
	4.4	1.2		14.375000000000002	12.9
	5.012499999999999	1.4		15.299999999999999	11.2
	6.6312500000000005	-1.7		17.118750000000002	8.7
	7.4750000000000005	-1.7		17.368750000000002	11.9
	7.337499999999999	4		17.19375	17.9
	7.262500000000001	6.8		16.16875	20.8
	6.3375	8.8		14.643749999999997	22.5
	5.906250000000001	11.2		15.45625	22.6
	6.006249999999999	10.8		15.018749999999999	23.2
	6.3687499999999995	10.6		15.68125	21
	5.9437500000000005	7.2		15.381250000000001	17
	5.8875	8		15.831249999999999	11.1
	6.175	6.3		17.006249999999998	13.3
	7.50625	4.5		18.1125	18.6
	8.7	8.8		19.025	19.3
	8.518749999999999	2.7		18.237499999999997	12.8
	7.14375	1.4		16.0875	12.8
	6.2625	6.9		15.381250000000001	14.7
Mai	6.50625	6.1		15.075000000000001	12.7
	6.65625	5.3		15.425	11.9
	7.5062500000000005	3.7		14.943750000000001	13
	7.043749999999999	4.1		15.61875	13.6
	8.00625	5.3		17.643749999999997	17.5
	9.281250000000002	9		18.71875	17.2
	9.768750000000002	9		19.5	17.8
	9.674999999999999	9.2		18.96875	19.2
	9.693749999999998	11.1		19.01875	22.4
	9.61875	13.5		18.868750000000002	25.5
	9.099999999999998	9.9		18.075	21.6
	9.23125	12.8		18.45	25.1
	9.4	8.9		18.368750000000002	21.3
	9.431249999999999	5.8		18.50625	18.1
	9.412500000000001	6.3		18.53125	21
	9.868749999999999	11.8		19.118750000000002	21.9
	9.506250000000001	13.2		19.8625	22.2
	10.993750000000002	11.5		19.63125	19.2
	11.074999999999998	9.7		19.637500000000003	21.9
	10.84375	12		19.650000000000002	17.9
	11.500000000000002	9.5		21.125	22.3
	11.76875	10		21.20625	16
	12.03125	9.1		21.66875	21
	12.118750000000002	11.8		21.43125	22.4
	12.187500000000002	9.7		22.006249999999998	22.9
	12.393749999999999	11.2		21.556250000000002	22.8
	12.84375	9.9		22.05	15.1
	12.406249999999998	8.1		21.8875	15.8
	12.45	6.2		22.012500000000003	17
	11.3	11.5		20.031250000000004	20
	11.237499999999999	6.4		20.312499999999996	16.1
Juin	11.012500000000001	6.2		21.193749999999998	16.6
	11.7625	6.6		21.312499999999996	20.4
	11.9875	11.6		21.7	21.5
	13.106250000000001	13.1		23.20625	25.2
	13.687499999999998	15.7		23.425	29.3
	13.5125	17.8		23.15625	30.8
	12.937500000000002	15.5		21.875	27.7
	12.843749999999998	15.9		22.562500000000004	24.1
	13.125000000000002	11.9		21.84375	22.6
	11.90625	13.6		21.406250000000004	26
	12.2375	16.3		21.625	29.6
	13.006250000000001	18.5		22.85	29.1
	12.768749999999997	18.1		22.343750000000004	34
	13.168750000000001	20.8		22.624999999999996	34.7
	14.11875	18		23.95625	31.3
	13.56875	17.8		23.262500000000003	25.4
	13.55	16.7		23.60625	21.9
	13.40625	13		23.3875	24.4
	13.475000000000001	13.6		23.568749999999998	18.8
	13.600000000000003	11.4		23.70625	19.8
	14.006250000000001	12		23.956250000000004	20.5
	13.8	11.2		23.974999999999998	20
	13.874999999999998	14.3		23.768750000000004	24.2
	13.387500000000001	10.4		22.487500000000004	19.8
	12.918750000000001	11.9		23.4	20.6
	13.762500000000001	10.2		22.68125	23
	13.74375	10.5		23.668750000000003	22.6
	14.175	13.8		23.51875	21.4
	13.687500000000002	13.5		23.618750000000002	26.1
	13.787500000000001	16.1		23.1125	24.7
Juil.	13.674999999999999	14.7		22.712499999999995	17.3
	13.387500000000003	14.2		23.868750000000002	26.4
	14.043750000000001	16.1		23.618750000000002	28.8
	13.868750000000002	15.7		23.21875	24.8
	14.43125	11.4		24.543749999999996	20.5
	15.312499999999996	9.2		25.03125	19.7
	15.28125	10.6		25.106249999999992	18.2
	15.06875	9.8		24.75	20.6
	14.924999999999999	9.9		23.95	16.5
	14.13125	8.4		23.556250000000006	19.9
	14.956250000000002	10.9		24.018749999999997	25.8
	14.75625	15.6		23.312499999999996	29
	14.406250000000004	13.5		24.09375	21
	15.537500000000001	12.6		25.406249999999996	23.4
	15.462499999999999	13.6		25.150000000000002	27.7
	15.049999999999997	17.4		23.36875	34.2
	14.60625	17.8		23.299999999999997	33.6
	14.806249999999999	18.4		23.98125	29.1
	15.375	15.4		24.98125	22.4
	15.4375	14.4		25.30625	32.2
	15.60625	19.6		24.25625	36.4
	15.375000000000002	19.9		24.06875	34.5
	14.65625	18.7		23.6	28.1
	14.89375	15.2		24.843750000000004	24.5
	15.281249999999998	11.6		24.93125	23.2
	15.14375	12.4		24.9	28.1
	14.675	17.7		24.28125	31
	14.525	11.8		23.8375	22.6
	14.081250000000002	9.7		23.825000000000003	22.9
	14.650000000000002	11.2		24.375	24.6
	15.175000000000004		12.6	24.55625		28.1
Août	15.250000000000002		15.5	25.924999999999994		32.8
	15.06875		19.5	24.55625		34.2
	14.39375		13.1	24.031250000000004		20.1
	15.50625		11.6	24.8		18.5
	14.962500000000004		13.3	24.15625		27.2
	14.412500000000001		13	23.325000000000003		26.5
	14.000000000000002		13.8	23.3625		16.6
	14.162499999999998		13.9	23.181250000000002		23
	13.8625		13.6	23.15625		23
	13.787500000000001		13.7	23.393749999999997		23.6
	13.962500000000002		14	23.38125		23.1
	14.14375		14.1	23.375000000000004		23.1
	13.599999999999998		13.5	22.849999999999998		23.1
	13.268749999999999		13.3	21.55625		22.8
	13.075000000000001		13.8	22.9375		22.6
	14.0375		13.7	22.9		22.5
	13.89375		13.3	22.5375		21.8
	12.843750000000002		12.4	20.200000000000003		20.4
	12.131250000000001		12.5	18.99375		19.8
	12.000000000000002		12.5	20.843749999999996		21.4
	12.712499999999997		13	21.862499999999997		21.8
	12.768749999999999		12.5	22.0625		21.3
	11.693750000000001		11.1	20.86875		20
	11.40625		11.4	20.487499999999997		20.9
	11.5375		11.8	21.256249999999998		21.8
	12.174999999999999		12	21.50625		21.5
	12.4125		12.4	21.63125		21.3
	12.737499999999999		12.7	21.29375		21.7
	12.8625		12.4	21.825000000000003		20.8
	12.00625		11.9	20.53125		19.7
	11.781249999999998			18.30625
Sep.	11.18125			19.61875
	11.374999999999998			18.887499999999996
	10.69375			19.324999999999996
	10.231250000000001			18.4125
	9.88125			17.53125
	9.60625			17.5
	9.575000000000001			18.143750000000004
	8.887500000000001			17.06875
	8.925			16.6875
	8.818750000000001			17.075
	9.506249999999998			17.987499999999997
	9.668750000000001			17.63125
	9.5			17.568749999999998
	8.987499999999999			16.91875
	7.9625			15.6875
	7.831250000000001			15.037500000000001
	7.518750000000001			15.8625
	7.437499999999999			15.843750000000002
	7.875			15.325000000000001
	7.9624999999999995			15.86875
	8.44375			15.80625
	7.725000000000001			14.4625
	7.30625			14.45625
	6.2375			13.275000000000002
	6.481249999999999			13.7
	6.812500000000001			14.356250000000001
	7.61875			14.987499999999999
	7.099999999999999			13.631249999999998
	6.38125			13.549999999999997
	6.6625			13.237499999999999
Oct.	6.8125			13.149999999999997
	7.312500000000001			13.36875
	6.225			13.05
	5.925			13.424999999999999
	6.081250000000001			13.193750000000001
	6.543749999999998			13.93125
	6.7			13.70625
	6.06875			13.28125
	6.668749999999999			12.975
	6.0125			12.8
	5.975			12.712499999999997
	6.706249999999998			13.118749999999999
	5.9			11.89375
	5.356249999999999			11.38125
	5.3125			12.31875
	5.3187500000000005			11.53125
	4.34375			12.299999999999999
	5.737500000000001			12.193749999999998
	6.08125			12.075
	5.031250000000001			11.50625
	5.425			11.41875
	5.66875			11.368749999999999
	4.9125000000000005			11.06875
	5.1312500000000005			10.40625
	4.90625			10.093750000000002
	4.20625			10.01875
	4.343749999999999			9.56875
	3.1937500000000005			8.45625
	3.58125			9.39375
	3.2687500000000003			8.912500000000001
	2.7			8.0875
Nov.	2.8125			8.399999999999999
	2.79375			8.10625
	1.9625			7.0375000000000005
	2.2687500000000003			6.5562499999999995
	2.3000000000000003			6.881250000000001
	1.9312500000000001			6.40625
	0.44999999999999996			5.63125
	0.8562500000000003			5.3374999999999995
	0.7062499999999999			5.9750000000000005
	0.9562500000000002			6.0249999999999995
	0.54375			4.8125
	-0.53125			3.9875
	-1.1624999999999999			3.71875
	-0.79375			3.85625
	-1.4062500000000002			3.1999999999999997
	-1.7687499999999996			2.1687499999999997
	-2.45			2.0875
	-2.1187500000000004			2.4499999999999997
	-2.3875			2.5125
	-2.0312499999999996			2.56875
	-1.63125			3.14375
	-0.8			3.1875
	-0.1875000000000001			3.7812499999999996
	-0.20625000000000016			3.868750000000001
	-0.5187499999999998			3.875
	-1.4500000000000004			2.59375
	-0.8437500000000001			3.55625
	-1.4			3.41875
	-1.6187500000000004			2.5625000000000004
	-1.66875			2.59375
Déc.	-1.9000000000000001			2.9625
	-1.4312500000000001			2.8875
	-0.45624999999999993			3.5312499999999996
	-1.06875			3.7562499999999996
	-0.8687499999999998			3.8874999999999993
	0.0937500000000001			4.1
	-0.5687499999999999			3.8125
	-0.3374999999999998			3.3687499999999995
	0.01874999999999999			4.300000000000001
	0.5999999999999999			4.956250000000001
	0.6375000000000001			4.75
	0.5124999999999998			4.31875
	-1.03125			3.78125
	-1.0124999999999997			3.2062500000000003
	-1.4500000000000002			2.5625
	-2.2062500000000003			3.05625
	-0.7933333333333334			4.486666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

36°C

Temp. la Plus Haute

4 Août 26

-13°C

Temp. la Plus Basse

10 Jan. 26

Analyse Saisonnière

Mois le Plus ChaudAoût27.66°C

Mois le Plus FroidJanvier-4.79°C

Mois le Plus PluvieuxJuin4.51mm

Mois le Plus VenteuxJuillet21.73km/h

Bielawa 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 Bielawa?

Août est historiquement le mois le plus chaud de Bielawa, avec des températures maximales moyennes d'environ 24°C. Lors des pics de vagues de chaleur, les températures les plus élevées enregistrées ont atteint 36°C le 2026-08-04.

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

Janvier est le mois le plus froid de Bielawa, avec des températures minimales moyennes d'environ -3°C. Le record absolu le plus bas de -21°C a été enregistré le 2010-01-26.

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

La pluviométrie annuelle moyenne de Bielawa est d'environ 738.4mm, basée sur des enregistrements couvrant 17 ans.

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

Bielawa enregistre historiquement environ 208.7 jours de pluie par an. Juin a le plus grand nombre de jours de pluie avec une moyenne de 20 jours.

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

La température la plus élevée jamais enregistrée à Bielawa est 36°C le 2026-08-04.

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

La température la plus basse jamais enregistrée à Bielawa est -21°C le 2010-01-26.

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

Bielawa connaît ses vents les plus forts pendant Décembre. Le record historique de rafale de 49.4 kph a été enregistré le 2022-01-30.

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

Habituellement, l'humidité de Bielawa atteint son maximum en Janvier à environ 86.4% et descend à son minimum en Août à environ 68.09%.

Articles récents sur la météo

Voir tous les blogs

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

Bielawa 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

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

Bielawa 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

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