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

Chemnitz Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.8249999999999998	-0.7		5.1937500000000005	0.8
	-0.27500000000000013	-2.5		4.4437500000000005	0
	-0.6125000000000004	-4.4		3.1749999999999994	-2.4
	-0.7062499999999998	-4.7		3.05625	-2.3
	-1.6687499999999995	-10.3		2.825	-3.2
	-1.5500000000000005	-10.4		2.64375	-4.1
	-1.83125	-13.2		2.58125	-3.3
	-1.2749999999999997	-12.6		2.5062499999999996	-1.9
	-0.8	-6.9		3.5875000000000004	2
	-2.0687499999999996	-14		2.4812499999999997	0.9
	-3.175	-12.5		1.7312499999999997	-5.8
	-1.6187500000000001	-12.5		1.8687500000000001	1.9
	-1.8375	1.3		2.7125000000000004	3.5
	-1.8312500000000003	2.2		2.5875000000000004	5.3
Jan.	-2.1625	2.2		2.175	6
	-2.625	1.3		2.01875	5.3
	-2.7625	2.2		1.78125	3
	-4.0625	-0.5		1.3499999999999999	2.6
	-3.8562499999999997	-2.5		1.1625	2.1
	-4.406249999999999	-3.4		0.85	1.9
	-4.56875	-3.3		0.5187499999999998	3.5
	-4.5062500000000005	-6.4		0.60625	0.6
	-4.4125000000000005	-6.6		0.33750000000000024	0.8
	-3.3187500000000005	-6.1		1.1	1.1
	-3.4	-3.6		0.93125	2.8
	-3.76875	-0.7		1.3687500000000001	2.2
	-2.6687499999999993	-3.4		2.19375	2.5
	-2.30625	-4.2		2.65	1.2
	-2.06875	-3.4		2.8625	-0.1
	-2.6125000000000003	-4.3		3.3374999999999995	2.3
	-3.1437500000000003	-3.9		2.2375	2.3
	-2.6124999999999994	-3.6		2.4625	0.7
	-2.5562500000000004	-4.8		2.53125	1.1
	-1.5062499999999999	-3.2		2.5749999999999997	0
	-2.15625	-2.9		2.6875	2.6
	-2.5624999999999996	0.9		2.1375	1.9
	-2.931249999999999	0.8		1.8375	4.9
	-4.206249999999999	-0.1		1.9375	2.5
	-4.24375	0.4		1.4124999999999996	1.3
	-3.7000000000000006	0.4		2.44375	3.5
	-3.799999999999999	-1.7		2.475	6.2
	-3.6124999999999994	1.8		1.3812499999999999	7.1
	-4.18125	4.4		1.325	7.9
	-3.4375000000000004	1.5		2.3875	5.5
	-3.2250000000000005	-3.3		3.8	1.8
Fév.	-2.6437499999999994	-4.9		4.737500000000001	-0.7
	-1.11875	-3.2		5.6812499999999995	3.3
	-0.4562499999999999	-0.3		5.43125	1.3
	-0.6624999999999999	-7.1		5.487500000000001	-0.3
	-1.1374999999999997	-6.3		4.15625	1.1
	-1.7125	-11.1		4.75625	1.8
	-0.4125000000000002	1.9		5.53125	5.8
	-0.7562500000000001	4.8		5.6625	9
	-0.14375000000000016	5.7		5.61875	8.8
	-0.9000000000000001	2.5		6.181249999999999	7.9
	-0.63125	1.6		6.0562499999999995	10.5
	-1.6500000000000001	4.6		4.65	14.4
	-2.35	7.1		4.6125	16.2
	-1.5375000000000003	6.8		4.78125	16.1
	-1.4375	3.7		5.2625	9.5
	-1.1062500000000002	1.8		5.8687499999999995	11.8
	-0.6250000000000001	2.5		6.324999999999999	13.3
	-0.80625	2.9		6.65	8.6
	-0.9750000000000002	3.6		5.8	14.1
	-1.275	3.1		5.7250000000000005	14.3
	-1.1749999999999998	3.7		6.037499999999999	14.4
	-0.9937500000000002	4.4		6.41875	13.4
	-0.5062499999999999	3.8		7.431250000000001	13.6
	0.1312499999999998	6.1		8.4	13.8
	0.07499999999999996	7		7.075000000000002	14.6
	0.74375	4.7		6.6499999999999995	10.1
	1.04375	3.9		7.643750000000001	13.6
	0.031250000000000146	3.5		6.674999999999999	12.7
Mar.	0.06874999999999992	1.7		6.4312499999999995	4.8
	0.14999999999999994	1		7.7	6.4
	0.6937499999999999	-0.7		8.38125	8.1
	0.8687500000000001	-0.2		8.118750000000002	11.1
	0.3375000000000001	2.2		8.475	10.9
	0.6	2		9.05625	7.3
	1.0375	1.6		9.981250000000001	9.2
	1.1875	0.3		9.399999999999999	11.7
	1.725	1.9		9.2375	11.8
	0.9937499999999999	3.8		9.293750000000003	13.5
	0.5937500000000001	2		9.65625	10.3
	1.0437500000000002	-1.6		8.60625	3.6
	0.5374999999999999	-3.5		9.0125	6
	1.2750000000000001	-1.4		10.8625	9.5
	3.0187500000000003	-1.5		11.26875	3.8
	2.5124999999999997	-0.3		11.75	5.3
	2.81875	-0.2		10.29375	3.2
	2.425	-0.3		9.581249999999999	6.9
	1.0625	-1.1		9.75625	10.4
	2.18125	0.6		10.793750000000001	9.2
	2.325	5.8		10.875	10.5
	2.05625	7.6		10.156250000000002	18.3
	1.8499999999999999	2.2		10.843749999999998	10.5
	2.49375	-0.2		12.41875	10.7
	3.19375	-1.3		11.431249999999999	11.5
	3.1125	-0.2		12.7	9.8
	2.8937500000000003	0.1		12.906250000000002	7.7
	3.1062499999999997	-1		12.406249999999998	12.6
	3.3312500000000003	3.8		12.187500000000004	6.8
	4.5125	5.3		12.524999999999999	15.4
	3.2375	5.7		11.518749999999999	8.5
Avr.	3.5250000000000004	2.1		11.70625	15.1
	3.1874999999999996	8.8		12.118750000000002	16.6
	3.35625	6.9		12.337499999999999	17
	3.4624999999999995	7.4		12.043750000000003	18.9
	3.2624999999999997	4.3		12.762500000000001	13.6
	3.5687499999999996	3		13.51875	7.1
	4.1875	1.5		13.656250000000002	10.3
	3.94375	-1.5		13.9875	12
	4.26875	0.5		14.16875	13.6
	4.2437499999999995	1.4		14.53125	11.6
	4.96875	1.9		14.150000000000002	14.7
	3.8499999999999996	1.2		13.018749999999999	11.4
	3.4375	1.2		13.825	14.2
	4.63125	2.5		15.03125	13.4
	6.2250000000000005	-0.2		16.325000000000003	10.7
	6.443749999999999	-1.2		16.05625	13.1
	6.312500000000001	3.2		16.06875	18.2
	6.3999999999999995	6.3		14.68125	23.8
	5.550000000000001	10.1		14.200000000000001	24.6
	5.281249999999999	10.2		13.38125	20.8
	4.8	10.3		14.443750000000001	19.3
	5.2437499999999995	9.7		14.85	18.4
	5.6937500000000005	6.6		14.918749999999998	8.5
	5.474999999999999	5.9		15.718750000000002	11.6
	6.875000000000001	6.2		17.68125	15.5
	7.499999999999999	5.1		17.825000000000003	19.2
	8.56875	5.2		18.36875	16.6
	8.05625	1.2		17.531249999999996	6.4
	6.3999999999999995	1.8		15.13125	9.6
	6.125000000000001	4.1		14.987499999999999	11.9
Mai	5.518750000000001	2.3		14.437499999999996	12
	5.6875	1.8		15.068749999999998	11.8
	6.781250000000001	2.1		15.00625	14.4
	6.59375	4.3		15.399999999999999	17.1
	7.481249999999999	5.8		17.881249999999998	17.6
	8.831249999999999	8.6		18.349999999999998	16.6
	9.20625	7.3		18.743750000000002	17.9
	9.212499999999999	8.8		18.48125	21.2
	9.0875	11.1		18.41875	24.7
	9	13.8		17.84375	25.6
	8.5375	10		16.981249999999996	22.5
	8.418750000000001	11.8		17.4375	25.8
	8.912500000000001	8.5		17.14375	19.9
	8.81875	5.6		17.618749999999995	17.9
	8.4375	6.3		17.587500000000002	22.4
	8.65625	11.6		18.5125	20.2
	8.981249999999998	10.1		19.26875	21.7
	9.243749999999999	11.6		18.2125	19
	9.6	10		18.35	22.9
	10.0875	10.2		20.13125	18.7
	10.318750000000001	9.3		20.337500000000002	21.3
	10.8625	9.6		21.3625	18.6
	11.325	7.7		21.037499999999998	21.1
	10.781250000000002	10.4		20.556250000000002	20.9
	10.831250000000002	9		21.156249999999996	24.3
	11.418750000000003	9.5		21.649999999999995	17.7
	11.79375	9.1		21.25625	16.9
	11.5125	6.8		21.118750000000002	15.1
	10.875000000000002	5.7		21.05	13.9
	10.306250000000002	10.3		19.737500000000004	19.5
	10.518750000000002	7.6		20.50625	16
Juin	10.96875	7.2		21.231250000000003	14.2
	11.024999999999999	5.8		20.181250000000002	20.9
	11.15625	11.3		21.931249999999995	22.2
	12.85625	13.4		22.94375	26
	12.975000000000001	16.2		23.137500000000003	31
	12.393749999999999	18		21.743750000000002	28.5
	11.687499999999998	16.7		21.4	28.2
	12.08125	15.2		22.1125	26.5
	11.975000000000003	14.1		20.5375	26.2
	11.55	14.8		21.10625	29
	12.031249999999998	17.3		21.6375	30.7
	12.968750000000002	17.7		22.731249999999996	31.8
	12.068749999999998	20.8		21.91875	35
	12.21875	18		23.0625	35.4
	13.118750000000002	18.4		23.35	27.4
	13.149999999999999	17.2		22.425	23.2
	12.549999999999999	13.5		22.362500000000004	19.5
	12.543749999999998	11		22.40625	24.9
	12.181250000000002	10.2		22.55625	18.9
	12.631249999999998	8.3		23.0375	19.2
	13.375000000000002	12.6		23.58125	19.6
	13.4625	13.5		23.599999999999998	16.8
	12.593749999999998	13.7		22.7875	25.4
	12.318750000000001	10.7		21.343749999999996	20.6
	12.124999999999998	8.5		21.868750000000002	19.6
	12.71875	10.5		22.1875	23.8
	12.843750000000002	10.4		23.54375	23.1
	13.112499999999999	11.3		22.58125	24.9
	12.775	12.8		22.237499999999997	27.1
	12.36875	14.9		21.937499999999996	26
Juil.	12.6375	12.1		21.75	21.8
	12.09375	12.5		22.599999999999994	25.8
	12.687500000000002	15.2		23.0125	26.6
	13.174999999999999	14.3		23.231249999999996	21.7
	13.337499999999999	9.5		24.662500000000005	19
	14.343750000000002	8.3		24.375000000000004	17
	14.756249999999998	8		23.681250000000006	19.9
	14.275	8.9		23.94375	17.8
	13.66875	8.9		23.050000000000004	16.1
	13.274999999999999	7		23.900000000000002	21.8
	14.137500000000003	11		23.275	27.3
	13.500000000000002	14		23.474999999999998	27.6
	13.9625	13.6		23.787499999999998	20.3
	14.55625	10.6		23.493750000000002	23.7
	14.51875	13.5		22.843750000000004	30.5
	13.574999999999998	18.6		22.06875	34.7
	13.312499999999998	16.6		22.5125	31
	13.78125	12.5		23.862499999999997	22
	14.662500000000001	11.9		24.337499999999995	25.5
	14.63125	14.3		24.125	31.4
	14.78125	19.2		23.49375	33
	14.143749999999999	19.4		23.137500000000003	30.7
	13.2625		15.4	22.974999999999994		27.4
	13.7375		10.6	23.45		24.1
	14.075		9.5	24.612499999999997		24.9
	14.106250000000001		12.5	23.95625		30.5
	13.48125		17.5	23.118750000000002		32.1
	13.437499999999998		19	22.73125		31.1
	12.925		17	23.025000000000006		30.5
	13.84375		18.4	23.468749999999996		34.5
	14.4		14.2	25.006249999999998		24.2
Août	14.274999999999999		13.9	24.2625		24
	13.6875		13.8	23.1125		23.5
	13.50625		13.5	22.837499999999995		23
	13.5875		13.7	23.181250000000002		23
	13.387500000000003		13.5	22.131249999999998		23
	12.9875		13.6	22.89375		23.7
	13.143749999999999		13.4	23.712500000000002		23.4
	13.531249999999998		12.9	23.775000000000006		22.8
	12.668750000000003		12.8	22.40625		22.7
	13.100000000000001		13.2	23.24375		23.6
	13.137499999999998		13.2	23.056250000000002		23
	13.4875		13.5	22.78125		22.4
	12.956249999999999		12.9	21.406249999999996		21.9
	12.34375		12.6	20.900000000000006		22
	12.293750000000001		12.6	22.337500000000002		21.7
	12.912499999999998		12.3	22.26875		21.3
	12.49375		11.9	20.89375		20.6
	10.918750000000003		10.9	19.1625		19.9
	10.75625		10.9	18.5875		19.4
	10.962500000000002		11.7	20.512500000000003		20.9
	11.656250000000002		11.7	22.175		22
	12.150000000000002		11.9	21.64375		20.8
	11.756250000000001			21.168750000000003
	11.60625			20.025000000000002
	11.024999999999999			20.374999999999996
	11.50625			20.56875
	11.625			20.80625
	11.4			20.575000000000003
	11.868750000000002			20.581250000000004
	11.5375			19.25625
	10.825			17.687499999999996
Sep.	10.787499999999998			18.9625
	9.993750000000002			18.69375
	9.906249999999998			18.48125
	9.41875			17.56875
	9.0125			17.681250000000002
	9.19375			17.812500000000004
	8.21875			18.212500000000002
	8.399999999999999			16.656250000000004
	7.9312499999999995			17.3125
	8.45			17.237499999999997
	8.64375			17.075
	8.93125			17.068749999999998
	9.125			16.4875
	8.48125			16.29375
	7.8875			16.299999999999997
	7.6187499999999995			15.98125
	6.925			15.718749999999998
	7.09375			16.39375
	7.6812499999999995			15.793750000000003
	7.606249999999999			15.1375
	7.518750000000001			14.725
	7.25625			14.143749999999999
	7.55			14.324999999999998
	6.74375			13.750000000000002
	6.6625			14.149999999999999
	6.99375			14.04375
	6.60625			13.85
	5.6875			12.98125
	5.85			13.5
	5.643750000000001			12.787499999999998
Oct.	6.393750000000001			12.693750000000001
	6.48125			12.45
	6.237500000000001			13.89375
	5.662500000000001			13.724999999999998
	5.887499999999999			12.95625
	6.8875			13.943749999999998
	6.574999999999999			13.756249999999998
	6.46875			13.2625
	6.1499999999999995			13.01875
	6.6312500000000005			12.899999999999999
	6.656249999999999			12.775
	7.125			12.78125
	5.5			11.75625
	5.1125			11.306250000000002
	5.0125			12.018749999999999
	4.76875			11.65625
	4.95			12.075
	5.7250000000000005			12.15625
	5.5062500000000005			11.924999999999999
	5.200000000000001			11.29375
	4.9			10.906250000000002
	5.018750000000002			10.525
	4.6312500000000005			10.425000000000002
	4.5687500000000005			9.95625
	4.543749999999999			9.3125
	4.168749999999999			9.55625
	3.20625			9.649999999999999
	2.525			8.356250000000001
	3.2249999999999996			9.24375
	3.2062500000000003			8.9875
	2.95625			8.875
Nov.	2.95			9.00625
	2.2312499999999997			7.54375
	1.6125			6.625
	1.9375			6.524999999999999
	1.6437499999999994			6.643750000000001
	0.9125000000000001			5.9625
	0.4312500000000001			5.093749999999999
	0.4125			4.91875
	1.0875			5.9875
	0.8999999999999999			5.9750000000000005
	0.056249999999999994			5.39375
	0.043749999999999956			4.61875
	-0.5687500000000003			4.437500000000001
	-0.32499999999999996			4.2875000000000005
	-0.9124999999999999			3.6624999999999996
	-1.54375			2.65625
	-1.925			2.45
	-2.125			2.58125
	-2.4749999999999996			2.6
	-1.7687499999999998			2.58125
	-1.2874999999999999			3.4312499999999995
	-0.6437499999999998			3.29375
	-0.025000000000000078			3.9312499999999995
	-0.4999999999999998			4.13125
	-0.2687499999999996			3.51875
	-1			3.1812500000000004
	0.15000000000000008			3.5
	-0.7125000000000001			3.2874999999999996
	-1.5374999999999999			2.96875
	-1			2.94375
Déc.	-1.075			3.23125
	-0.5875000000000002			3.75625
	0.53125			4.6875
	0.2437499999999999			4.8374999999999995
	0.5562500000000001			5.03125
	0.48125000000000007			4.975
	0.34375000000000006			4.275
	1.0375			4.58125
	1.5437500000000002			5.443749999999999
	1.7500000000000002			5.50625
	0.68125			4.906250000000001
	0.07500000000000007			4.612500000000001
	-0.1312500000000001			3.781250000000001
	-0.76875			3.325
	-0.9812499999999998			2.9625
	-1.125			4.0125
	0.8			5.320000000000002

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

35°C

Temp. la Plus Haute

28 Juin 26

-14°C

Temp. la Plus Basse

10 Jan. 26

Analyse Saisonnière

Mois le Plus ChaudAoût28.52°C

Mois le Plus FroidJanvier-4.77°C

Mois le Plus PluvieuxJuin3.26mm

Mois le Plus VenteuxJuillet19.09km/h

Chemnitz 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 Chemnitz?

Août est historiquement le mois le plus chaud de Chemnitz, avec des températures maximales moyennes d'environ 23°C. Lors des pics de vagues de chaleur, les températures les plus élevées enregistrées ont atteint 35°C le 2026-06-28.

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

Janvier est le mois le plus froid de Chemnitz, avec des températures minimales moyennes d'environ -2°C. Le record absolu le plus bas de -21°C a été enregistré le 2012-02-12.

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

La pluviométrie annuelle moyenne de Chemnitz est d'environ 890.2mm, basée sur des enregistrements couvrant 17 ans.

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

Chemnitz enregistre historiquement environ 223.4 jours de pluie par an. Juillet a le plus grand nombre de jours de pluie avec une moyenne de 21.2 jours.

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

La température la plus élevée jamais enregistrée à Chemnitz est 35°C le 2026-06-28.

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

La température la plus basse jamais enregistrée à Chemnitz est -21°C le 2012-02-12.

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

Chemnitz connaît ses vents les plus forts pendant Janvier. Le record historique de rafale de 51.1 kph a été enregistré le 2018-01-18.

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

Habituellement, l'humidité de Chemnitz atteint son maximum en Janvier à environ 88.1% et descend à son minimum en Août à environ 72.07%.

Articles récents sur la météo

Voir tous les blogs

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

Chemnitz 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

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

Chemnitz 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

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