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

Trockenborn Wolfersdorf Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.03125	0		5.656250000000002	2.1
	0.16250000000000003	-0.5		5.03125	1.8
	-0.01874999999999999	-2.4		4.456250000000001	0.5
	0.12499999999999994	-2.7		3.9312500000000004	0.7
	-1.5000000000000002	-8.1		3.49375	-2.2
	-1.4500000000000002	-9.2		3.3687499999999995	-3.7
	-1.425	-9.6		3.4062500000000004	-2.3
	-0.5875	-10.6		3.2124999999999995	-0.6
	-0.38125	-5.1		4.00625	3.4
	-1.5062499999999999	-9.2		3.2875	1.1
	-2.025	-10		2.6687499999999997	-3.3
	-0.8187499999999998	-10.2		2.8625	0.9
	-0.9187500000000002	0.2		3.6125000000000007	2.9
	-1.1250000000000004	0.7		3.71875	5.5
Jan.	-1.7875	3.3		3.2937499999999997	7.2
	-1.65625	2		2.8437500000000004	7.8
	-2.10625	1.8		2.75625	4.6
	-3.1125	-1.8		2.1125	4.9
	-3.5999999999999996	-3.8		1.75625	4.1
	-4.3	-4.6		1.30625	4
	-4.7125	-5		1.1375000000000002	4
	-4.0875	-4.2		1.1625	2.6
	-3.61875	-5.1		1.0375	1.9
	-2.6249999999999996	-4.9		2.03125	0.7
	-2.65	-5.3		1.93125	2
	-3.6187499999999995	-1		1.9625	2.8
	-2.14375	-3.7		3.3375	2.1
	-1.5	-6.2		3.5312500000000004	-0.2
	-1.4687499999999998	-1.9		4.05	-0.2
	-1.8375000000000004	-5.3		4.025	2.2
	-2.0124999999999997	-3.5		3.18125	2.5
	-1.85625	-2.5		3.59375	0.4
	-1.875	-3.3		3.70625	1.9
	-1.00625	-5.2		3.89375	2
	-1.5437499999999997	-2.2		3.9312499999999995	3.2
	-2.01875	-0.6		3.5187499999999994	2.4
	-2.4750000000000005	-2.4		2.7125	5.1
	-3.6500000000000004	-0.7		2.6875	2
	-3.76875	0.9		2.1875	1.8
	-3.5250000000000004	0.7		3.18125	3.3
	-3.3874999999999997	-2.9		3.0875	7.6
	-2.7062499999999994	1.8		2.4562500000000003	8.6
	-3.5687499999999996	3.9		2.5937500000000004	9.6
	-3.41875	1.4		3.4625000000000004	6.8
	-2.9187499999999997	-2.2		4.9	2
Fév.	-2.312499999999999	-4.2		5.768750000000001	1.6
	-0.9750000000000002	-0.8		6.83125	4.8
	-0.4687499999999998	0.1		6.356249999999999	2.7
	-0.1000000000000002	-1.2		6.531249999999999	0.9
	-0.6625000000000001	-4.9		5.6499999999999995	3.1
	-1.025	-5.5		6.19375	5.4
	0.6375000000000001	2.9		6.581250000000001	8.1
	-0.1437500000000004	7.9		7.112500000000001	11.4
	0.20000000000000004	7.4		6.68125	9.8
	-0.39374999999999993	2.6		7.1812499999999995	10.4
	-0.11874999999999991	1.5		7.25625	12.4
	-0.8687500000000001	3.6		6.2	15.7
	-1.36875	6.3		5.775	17.4
	-0.6375000000000001	5.8		6.1499999999999995	16.2
	-1.2125000000000001	3.3		6.3625	11.6
	-1.2125000000000001	1.3		6.906250000000001	13.1
	-0.6499999999999998	2.1		7.768749999999999	14.3
	-0.44375000000000003	2.5		8.012500000000001	8.8
	-0.675	2.8		7.218749999999999	15.2
	-1.1875	2.6		7.075	15.4
	-1.15625	3.5		7.30625	15.3
	-0.6312500000000001	4.2		7.175	15.5
	-0.61875	3.4		8.80625	15
	-0.2999999999999999	5.5		9.65	16
	-0.10624999999999996	6.8		8.36875	14.9
	0.9562499999999999	4.9		8.00625	13
	0.9687500000000001	4.6		8.8375	14
	0.775	3.9		7.793749999999999	12.4
Mar.	1.0875	2.4		7.856249999999998	6.8
	0.38125	0.7		8.806250000000002	7.3
	0.9125	-0.6		9.218750000000002	6.4
	1.31875	-1.5		9.53125	11.7
	1.13125	0.9		9.89375	12.4
	0.9874999999999999	2		10.34375	8.5
	0.9875	1.4		10.9375	10.2
	1.1624999999999999	-0.6		10.262500000000001	13.1
	1.7437500000000001	1.1		10.600000000000001	13
	0.9874999999999999	3.2		10.656250000000002	14.7
	0.8812500000000001	2.4		10.99375	11
	1.2874999999999999	-1.6		10.0625	6.2
	0.8812499999999999	-2.9		10.3	7.3
	1.45625	-2.2		12.431250000000002	10.2
	3.4749999999999996	-0.4		12.281249999999998	7.8
	2.8249999999999997	2.2		12.700000000000001	7.2
	2.9312500000000004	1.4		11.600000000000001	4.9
	2.5062500000000005	1.2		10.543750000000003	6.5
	1.15625	-0.1		11.018749999999999	10.8
	2.35625	3		11.6875	10.3
	2.7	6.9		11.66875	12
	2.6750000000000007	7.9		10.943749999999998	17.1
	2.33125	3.6		12.05	11.4
	2.9875000000000003	1.8		13.875	11.9
	3.6437500000000003	-0.1		12.91875	12
	3.6250000000000004	2		13.85	10.7
	3.5249999999999995	2.2		14.000000000000002	10.4
	3.9125000000000005	1.4		13.8375	13.5
	3.6624999999999996	5.2		12.968750000000002	7
	4.59375	5.3		13.724999999999998	15.2
	3.55	6.6		12.837499999999999	8.4
Avr.	3.90625	3.2		12.993749999999997	14.7
	3.3562499999999997	9.7		13.38125	16.7
	3.4374999999999996	10		13.262500000000003	17.7
	3.5125000000000006	9.5		12.9625	18.6
	3.312499999999999	4.7		13.8	9.8
	3.69375	3.2		14.656250000000002	7
	4.2625	2.1		15	9.9
	4.0874999999999995	-0.5		14.81875	12.2
	4.7625	2.1		15.343749999999998	15
	4.575	2.2		15.475000000000001	14.3
	4.96875	3.3		15.150000000000002	15.6
	4.062499999999999	1.7		14.31875	12.2
	3.38125	2.3		14.45625	14.3
	4.43125	2.8		15.787500000000001	13.4
	6.0687500000000005	0.3		17.156249999999996	11.3
	6.749999999999999	-0.3		16.862499999999997	13.4
	5.95	4		16.912499999999998	18.4
	6.1312500000000005	7.3		15.256250000000001	24
	5.781250000000001	10.4		15.468749999999996	24.9
	5.2250000000000005	12		14.06875	21
	4.974999999999999	12.1		15.1375	18.6
	5.075	9.4		15.90625	18.8
	5.687500000000001	6.3		15.88125	8.4
	5.61875	6.5		16.862499999999997	10.8
	6.74375	5.8		18.79375	14.9
	7.712499999999999	6.4		18.93125	18.3
	8.425	3.9		18.762500000000003	15
	8.225	1.2		18.125000000000004	7.9
	6.125	1.9		16.05	10.5
	6.406249999999999	4.2		16.68125	11.3
Mai	5.76875	2.7		15.931249999999999	11
	6.1187499999999995	2.3		16.175	11.3
	6.83125	3		16.65	14.6
	7.187499999999999	5.3		16.78125	18.4
	7.562500000000002	6.1		18.56875	16.6
	8.95	8.4		19.05	17.3
	9.2375	9.1		19.643749999999997	18.6
	8.7875	10.2		19.65	22.5
	8.8375	12.5		19.281249999999996	25.8
	9.074999999999998	15.2		18.625	26.1
	8.73125	11		17.712500000000002	23.2
	8.45	13.3		18.43125	26.3
	9.05	10.7		17.875	20.4
	8.849999999999998	7.4		18.674999999999997	19.3
	8.543749999999998	7.4		18.749999999999996	24.4
	8.78125	13.2		19.7	21.5
	9.512500000000001	12.1		20.16875	22.4
	9.6125	13.2		19.093750000000004	19.8
	9.6	11.2		19.518749999999997	22.8
	10.031249999999998	11.7		21.606250000000003	18.5
	10.4875	11.1		21.70625	20.4
	10.79375	10.9		22.4625	19.7
	11.343750000000002	8.6		21.687499999999996	22
	10.60625	11.2		21.381249999999998	20.6
	10.9375	10.4		21.962499999999995	25.1
	11.450000000000001	12.4		22.65625	18.8
	11.831249999999999	9.8		22.1875	17.9
	11.256250000000001	7.3		21.356250000000003	16.1
	11.04375	7.7		21.29375	14.7
	10.41875	12.2		20.837500000000002	21.1
	10.43125	7.6		21.6375	16.2
Juin	10.781249999999998	6.9		21.775000000000002	15
	11.062500000000002	7.9		21.049999999999997	22.3
	11.2375	12.6		22.612500000000004	23.8
	12.693750000000001	14.6		24.125	26.8
	13.087499999999995	17.5		24.137500000000003	32.4
	12.54375	19		22.206249999999997	30.7
	11.799999999999999	18.4		22.293750000000003	28.6
	11.91875	15.6		22.612499999999997	26.9
	12.268749999999999	15.5		21.35	27.4
	11.81875	16.1		22.068750000000005	30
	12.306250000000002	18.5		23.012500000000003	31.3
	12.793750000000001	18.2		23.5625	32.5
	12.1625	22.1		23.118749999999995	36.8
	12.331249999999997	21.5		24.15625	35.8
	13.55625	18		24.125	23.3
	13.3625	17.8		23.593749999999996	23.2
	12.8875	14.7		23.26875	19.1
	12.78125	11.9		23.431250000000002	26.2
	12.45625	10.1		23.3	20.3
	12.8375	9.8		24.2	20.8
	13.31875	13.9		24.574999999999996	20.7
	13.4875	13.2		24.65	19.4
	12.950000000000001	15.4		23.575	26.9
	12.36875	12.8		22.412499999999998	21.9
	12.612499999999999	11.3		22.737499999999997	22
	12.825000000000001	12.6		23.599999999999994	24.8
	13.599999999999998	12.8		24.537500000000005	24.8
	13.5125	12.9		23.8625	25.4
	13	14.6		22.893749999999997	27.7
	12.531249999999998	15.8		22.731250000000003	25.5
Juil.	12.618749999999999	12.8		22.9875	22.2
	12.268749999999999	13.6		23.400000000000002	26.8
	13.14375	16.6		24.150000000000002	27.7
	13.45625	14.3		24.400000000000002	23.1
	13.46875	11.3		25.831249999999994	19.9
	14.5375	8.7		25.96875	17.8
	14.8375	9.2		24.50625	19.4
	14.368750000000002	10.9		24.937500000000004	18.2
	13.775000000000004	10.3		24.15	16.1
	13.218749999999998	8.6		25.056249999999995	22.9
	13.94375	12.1		24.287500000000005	28.1
	13.618750000000002	15		24.518749999999997	27.9
	14.3125	14.3		24.618749999999995	21.8
	14.65	12.1		24.425	24.7
	14.80625	15.1		23.737499999999997	31.8
	14.04375	19.3		23.3125	35.6
	13.606250000000001	17.5		23.81875	32.5
	13.818749999999998	14.9		24.70625	19.9
	14.425	13.7		25.837499999999995	24.5
	14.78125	14.9		24.98125	32
	14.812500000000002	19.4		24.69375	34
	14.29375	19.7		23.793750000000003	31.4
	13.087499999999999	17.5		24.025	27.7
	13.5625	11.8		24.756249999999998	24
	14.031249999999998	10.6		25.74375	24.9
	14.2625	14.1		25.124999999999993	31.1
	13.65625		16.4	24.456249999999997		31.4
	13.406250000000002		11.4	23.6		23.7
	13.1375		10.4	24.137500000000003		25.3
	13.593749999999998		12.1	25.1625		28.2
	14.237499999999999		14.7	26.21875		31.7
Août	14.49375		18.3	25.075		35.3
	13.843749999999996		16.7	24.28125		26.4
	13.60625		12.6	23.43125		24.3
	13.8625		13.7	23.749999999999993		24
	13.30625		13.6	23.74375		24.3
	13.04375		13.6	23.643749999999997		24.5
	13.18125		13.2	24.656249999999996		24.2
	13.275		12.9	24.974999999999998		24.2
	13.05		13	24.168750000000003		24.4
	13.249999999999998		13.3	24.18125		24.5
	13.0875		12.9	24.212500000000002		24.2
	13.293749999999998		13.5	24.46875		24
	13.31875		13.3	22.681249999999995		23.2
	12.531250000000002		12.8	22.175		23
	12.381250000000001		12.6	23.25		22.8
	12.8875		12.6	23.349999999999998		22.5
	12.63125		12	22.375		22
	11.1875		11.4	20.525		21.3
	11.1625		11.1	20.112499999999997		20.7
	11.13125		11.9	21.58125		21.9
	11.91875		12	23.16875		22.8
	12.31875		12	22.7875		21.9
	11.862499999999997		11.4	22.812499999999996		22.2
	11.662500000000003		11.2	21.84375		22.5
	11.049999999999999		11.6	21.631249999999998		22.2
	11.675		11.6	21.737499999999997		21.7
	11.649999999999999			22.037499999999998
	11.71875			21.59375
	11.7			21.793750000000003
	11.55			20.375
	10.7375			19.05625
Sep.	11.2625			20.48125
	10.3125			19.9625
	10.06875			19.7625
	9.89375			18.768750000000004
	9.649999999999999			19.06875
	9.525			19.0625
	8.606250000000001			19.437500000000004
	8.668750000000001			18.55
	8.55625			18.431250000000002
	9.1125			18.537499999999998
	9.0375			18.09375
	8.975			18.31875
	9.5125			17.34375
	8.587500000000002			17.325000000000003
	7.9937499999999995			17.749999999999996
	7.581250000000001			17.224999999999998
	6.9750000000000005			16.675
	7.237500000000001			17.3625
	7.95			17.3875
	7.693749999999999			16.5375
	7.7749999999999995			15.6875
	7.668750000000001			15.4375
	7.837499999999999			15.362499999999999
	7.6937500000000005			14.925
	6.76875			15.325000000000001
	7.2250000000000005			15.26875
	6.85			14.737499999999999
	5.84375			13.79375
	6.218750000000001			14.368750000000002
	6.106249999999999			13.94375
Oct.	6.387499999999999			14.05625
	6.60625			13.637499999999998
	6.175			14.762500000000001
	5.550000000000001			14.993749999999999
	6.15			14.406249999999998
	7.29375			14.843749999999998
	7.031250000000002			14.781250000000004
	6.875			13.95625
	6.21875			13.91875
	6.28125			13.725000000000001
	6.887500000000001			13.275
	7.2625			14.06875
	5.993749999999999			12.712499999999999
	5.8062499999999995			12.1875
	5.2875			12.462499999999999
	5.443749999999999			12.625
	5.4624999999999995			12.831249999999999
	5.875			12.9375
	5.825			12.85
	5.731249999999999			12.243749999999999
	5.75625			12.1875
	5.4			11.41875
	5.0375			11.525
	5.1625000000000005			10.712499999999999
	4.8625			10.449999999999998
	4.450000000000001			10.5
	3.5750000000000006			10.15
	2.825			9.3375
	3.3499999999999996			10.1
	3.6062499999999993			9.84375
	3.0812499999999994			9.293750000000001
Nov.	2.88125			9.2125
	2.2749999999999995			7.5375
	1.7625000000000002			7.1125
	2.099999999999999			7.0375
	2.4			7.499999999999999
	1.4312500000000004			6.7375
	0.7562499999999996			5.893749999999999
	0.19374999999999998			5.475
	1.225			7.13125
	0.81875			6.818749999999999
	0.5625			5.7437499999999995
	0.6			5.76875
	-0.024999999999999772			5.1875
	0.2312500000000001			5.475000000000001
	-0.25625			4.737500000000001
	-0.9374999999999999			3.8500000000000005
	-1.7000000000000006			3.4625
	-1.7812499999999998			3.325
	-1.9812500000000004			3.2437500000000004
	-1.375			3.3625
	-1.05			3.8000000000000003
	-0.21250000000000008			3.8125
	0.50625			4.6000000000000005
	-0.08124999999999993			5
	0.3749999999999999			4.53125
	-0.42499999999999993			4.1125
	0.6187499999999999			4.40625
	-0.25000000000000006			4.4875
	-1.1625			3.69375
	-0.7625000000000001			3.3937500000000003
Déc.	-0.6125			3.8624999999999994
	-0.006250000000000061			4.73125
	1			5.550000000000001
	0.325			5.5562499999999995
	0.75			5.718750000000001
	0.98125			5.83125
	1.1062499999999997			5.250000000000001
	1.7437499999999997			5.54375
	2.368750000000001			6.45625
	2.0749999999999997			6.3187500000000005
	1.0375			5.2124999999999995
	0.7875000000000001			5.3374999999999995
	0.43125			4.956249999999999
	-0.5937500000000001			4.0375000000000005
	-0.75			4.249999999999999
	-0.6312500000000001			4.675
	1.44			6.1933333333333325

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

37°C

Temp. la Plus Haute

27 Juin 26

-11°C

Temp. la Plus Basse

8 Jan. 26

Analyse Saisonnière

Mois le Plus ChaudAoût27.72°C

Mois le Plus FroidJanvier-4.06°C

Mois le Plus PluvieuxMai3.71mm

Mois le Plus VenteuxFévrier17.99km/h

Trockenborn Wolfersdorf 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 Trockenborn Wolfersdorf?

Août est historiquement le mois le plus chaud de Trockenborn Wolfersdorf, avec des températures maximales moyennes d'environ 24°C. Lors des pics de vagues de chaleur, les températures les plus élevées enregistrées ont atteint 38°C le 2022-07-20.

2. Quel est le mois historiquement le plus froid à Trockenborn Wolfersdorf?

Janvier est le mois le plus froid de Trockenborn Wolfersdorf, avec des températures minimales moyennes d'environ -2°C. Le record absolu le plus bas de -22°C a été enregistré le 2012-02-12.

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

La pluviométrie annuelle moyenne de Trockenborn Wolfersdorf est d'environ 662.3mm, basée sur des enregistrements couvrant 17 ans.

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

Trockenborn Wolfersdorf enregistre historiquement environ 209.8 jours de pluie par an. Mai a le plus grand nombre de jours de pluie avec une moyenne de 18.9 jours.

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

La température la plus élevée jamais enregistrée à Trockenborn Wolfersdorf est 38°C le 2022-07-20.

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

La température la plus basse jamais enregistrée à Trockenborn Wolfersdorf est -22°C le 2012-02-12.

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

Trockenborn Wolfersdorf connaît ses vents les plus forts pendant Décembre. Le record historique de rafale de 56.5 kph a été enregistré le 2018-01-18.

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

Habituellement, l'humidité de Trockenborn Wolfersdorf atteint son maximum en Janvier à environ 86.1% et descend à son minimum en Août à environ 68.5%.

Articles récents sur la météo

Voir tous les blogs

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

Trockenborn Wolfersdorf 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

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

Trockenborn Wolfersdorf 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

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