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

Trnava Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.3624999999999998	-3.7		3.40625	3
	-1.3749999999999998	-1.8		3.9499999999999997	3.5
	-1.1062500000000002	-1.8		3.76875	2
	-0.2062500000000001	-4.8		3.7437500000000004	0.7
	-0.44999999999999973	-6.3		3.71875	-0.7
	-1.8937500000000003	-4.7		3.1000000000000005	-1.7
	-3.293749999999999	-4.9		2.13125	-1.7
	-2.5875	-6.6		2.1312499999999996	-2.1
	-1.4999999999999998	-8.4		3.4125	-4.3
	-1.2624999999999997	-7.1		3.7124999999999995	0.7
	-2.3062500000000004	-9.2		3.575	-3.9
	-1.6625000000000003	-11.4		3.5999999999999996	-3.6
	-1.8312500000000003	-5		3.1750000000000003	-0.9
	-1.4	-1.3		3.31875	-0.7
Jan.	-1.85	-2.1		3.0749999999999997	1
	-2.2875	0.2		2.7000000000000006	1.5
	-2.05	-3.6		2.725	1.1
	-2.5124999999999997	-4		2.2562500000000005	0.2
	-3.3125	-5.1		2.48125	-1.2
	-3	-6.6		2.51875	-1.2
	-3.031250000000001	-6.6		1.9124999999999999	-0.6
	-3.55625	-5.8		1.65	0.2
	-3.3874999999999997	-1.6		2.025	0.1
	-3.56875	-0.1		1.98125	1.2
	-4.09375	1.1		1.15625	4.4
	-3.9250000000000003	0.6		1.7812499999999998	4.8
	-4.0062500000000005	0.3		1.8000000000000003	6
	-3.812500000000001	1		3.0375	2.9
	-3.1250000000000004	0.4		2.84375	2.3
	-2.9937500000000004	0.2		3.69375	3
	-3.0687500000000005	1.7		2.4375	2.4
	-3.15	-1		3.475	2.3
	-1.9375	0.1		3.8	1.9
	-2.05	-1.2		3.9375	1
	-2.375	0.9		3.4812499999999997	3.2
	-2.01875	2		4.075	4.8
	-2.23125	4.9		3.9624999999999995	5.7
	-2.6187499999999995	4.5		3.5875	6.8
	-2.68125	2.5		3.8375	7.6
	-2.6625	3.5		4.525	6.2
	-1.68125	1.4		5.050000000000001	3.7
	-1.675	1.1		4.1625	5.1
	-2.1625000000000005	4.6		3.4812499999999997	9
	-2.5187500000000007	4.4		3.7625000000000006	9.7
	-1.6187500000000001	4.2		4.9125000000000005	10.9
Fév.	-1.5187499999999998	-2.5		5.500000000000001	5.2
	-1.44375	-3.5		5.1812499999999995	2.1
	-0.7312499999999998	-0.5		5.99375	6.1
	0.6062499999999998	-0.9		6.91875	4.4
	-0.85625	-1.2		6.40625	1.6
	-1.01875	-7.9		6.50625	0.6
	-0.20624999999999982	-7.4		6.6375	1.9
	-0.08750000000000019	0		7.949999999999999	3.9
	1	4.6		7.531249999999999	10.8
	0.36250000000000004	3.5		7.8999999999999995	9.9
	0.25000000000000006	1.4		7.9750000000000005	9
	0.4124999999999999	1		7.675000000000001	9
	-0.13124999999999984	1.3		7.09375	10.5
	0.3625	1.7		8.53125	11.3
	0.8562500000000002	2.9		8.40625	11.8
	0.6187499999999999	6.5		8.474999999999998	9.6
	0.6812500000000001	7.2		8.96875	11.8
	0.7625	7.9		9.45625	12
	0.63125	5		8.325	14.3
	0.28124999999999994	4.4		8.625	14.3
	0.8812500000000002	4.7		9.11875	14.4
	1.1625	5		8.625	14.7
	0.81875	4.7		9.2625	13.5
	1.1375	5.6		10.00625	14.2
	0.8	5.3		9.975000000000001	15.5
	2.3812499999999996	8.6		10.712500000000002	14.9
	3.124999999999999	6.8		11.343749999999998	16.3
	2.96875	7.2		10.9	16
Mar.	1.9937499999999997	8		9.40625	14.5
	2.00625	6.5		9.1125	11.8
	1.5312499999999996	3.2		10.687499999999998	9.4
	1.29375	4.8		10.1125	14.8
	1.4125000000000003	3.1		10.562500000000002	12.5
	1.2687499999999998	3.6		11.137500000000001	13.1
	1.38125	3.4		12.156250000000002	8
	2.1125000000000003	3.8		12.51875	13.2
	2.8249999999999997	4.8		13.5	13.8
	2.79375	6.9		13.4125	15.1
	3.1687499999999997	6.7		12.587500000000002	16.5
	2.9312499999999995	2.9		12.387500000000001	7.2
	3.0875	3.4		12.1125	6.7
	2.40625	3.5		13.362499999999999	11.4
	4.03125	3.7		14.43125	6.7
	5.018749999999999	2.4		15.3125	9.2
	5.062499999999999	1.4		14.093749999999998	7.9
	4.81875	2.5		14.056249999999997	11.9
	3.38125	4.3		13.41875	13.8
	3.4562500000000003	5.8		13.181249999999999	14.6
	3.8375000000000004	4.7		14.66875	11.7
	4.71875	6.4		14.75625	20.6
	4.11875	7		13.625000000000002	15.4
	4.39375	3.8		14.287500000000001	14.5
	5.168749999999999	2.8		14.956249999999999	12.1
	4.6125	1.5		15.231250000000001	11.5
	4.7	-0.4		14.712500000000002	8.2
	4.575	3.5		14.656250000000002	12.6
	5.1625000000000005	2.8		16.068749999999998	14.9
	5.1375	6		14.424999999999999	16.3
	5.3625	9.2		15.812499999999998	13.4
Avr.	5.75	9.3		14.699999999999998	17.1
	5.4875	9.5		15.8875	18.5
	5.3687499999999995	8.5		15.7875	20
	5.4937499999999995	6.3		15.687500000000002	18.2
	5.875	6.8		15.837499999999999	19.7
	5.63125	5.8		16.625	14.4
	5.750000000000001	4.7		17.4625	12.9
	6.543749999999999	2.5		17.318749999999998	14.1
	6.2625	4.1		17.575000000000003	17
	7.225	5.5		18.1125	19.2
	8.0625	5		18.05625	21.4
	7.143750000000001	6.2		17.318749999999998	14.6
	6.73125	4.2		16.98125	16.7
	6.70625	6.4		17.624999999999996	17.9
	7.7250000000000005	3.4		19.05625	14.9
	8.4875	0.6		20.26875	14.3
	9.34375	2.4		20.75	16.8
	9.881250000000001	6.8		20.299999999999997	22.4
	9.175	8.1		18.55	21.3
	8.78125	7.3		18.825	23.4
	8.599999999999998	9.5		18.400000000000002	24
	8.462500000000002	13.1		18.84375	23.5
	8.55	10.7		18.868750000000002	19.7
	8.2875	10.5		18.737500000000004	21.1
	7.750000000000001	8.7		18.96875	20.1
	8.575	7.4		20.45	21.8
	9.762500000000003	11.8		21.162499999999998	20.9
	9.5625	6.9		20.48125	14.9
	9.63125	2.6		18.412499999999998	15.5
	8.318749999999998	5.7		17.25625	17.8
Mai	8.2625	9.5		16.781249999999996	15.3
	8.231250000000001	9.2		17.106250000000003	11.3
	8.462500000000002	6.9		16.68125	13.8
	8.59375	5.3		17.95625	17.3
	9.149999999999999	6.8		20.3125	20.8
	10.15625	10.4		21.525000000000002	21.1
	10.71875	10.9		21.687499999999996	21.6
	11.49375	10.3		21.15	23.1
	11.424999999999999	11.6		20.837500000000002	24.7
	11.437500000000002	12.8		21.14375	27.3
	11.000000000000002	16.2		20.112500000000004	26.2
	10.60625	13		21.1625	27.9
	11.11875	14.9		21.081249999999997	28.7
	10.8625	10.6		20.874999999999996	21.3
	10.6125	8.9		21.256249999999998	23.2
	10.91875	11.6		20.575	22.1
	11.468749999999998	11.7		21.956249999999997	26.1
	11.91875	13.4		22.006249999999998	20.9
	12.781249999999998	11.6		22.775	24.8
	12.274999999999999	13.4		22.650000000000002	17.1
	13.406249999999998	10.1		24.287499999999998	24.2
	13.475000000000001	11.2		24.287499999999998	17.5
	13.668750000000001	10.1		23.862499999999997	24.4
	13.781249999999998	13.6		24.74375	26.9
	14.175	12.5		24.699999999999996	27
	14.006250000000001	14.9		24.7875	28.9
	14.681250000000002	12.2		25.28125	19.8
	14.44375	10.8		24.5125	19.4
	14.4125	8		25.29375	20.5
	14.112499999999999	12.7		24.2625	23.9
	13.137500000000001	11.3		23.731249999999996	20.5
Juin	12.700000000000001	10.5		24.687500000000004	22.1
	14.181250000000002	10.3		23.962500000000002	25.3
	14.30625	14.5		24.568749999999998	26.7
	14.343749999999998	14.7		25.83125	28
	14.9375	17.2		26.6375	31.5
	15.3125	18.6		26.187500000000004	34.4
	15.437500000000002	17.9		25.66875	32.8
	14.856250000000001	19.2		26.374999999999996	31.1
	15.912500000000001	17.2		25.45	30.3
	14.78125	15.6		25.056250000000002	30.9
	14.51875	16.1		24.5875	33
	14.700000000000001	18.5		25.749999999999996	35.3
	15.081250000000002	21.1		26.01875	37.9
	15.16875	21.3		25.95625	40
	16.268750000000004	21.9		27.65625	40.2
	15.0875	19.8		26.687499999999996	37.7
	15.056249999999999	19.4		27.037500000000005	36.9
	15.25	17.7		26.875	27.5
	15.225	16.2		27.2125	26.3
	15.5875	12.3		26.718750000000004	27
	15.53125	14.4		27.631250000000005	25.6
	16.131249999999998	13.9		28.581249999999997	24.8
	16.568749999999998	15.6		28.1375	30.7
	15.85625	14.8		26.7875	26.7
	15.562499999999998	12.7		26.98125	25.8
	15.76875	13.4		27.0625	28.3
	15.487499999999999	14.5		27.087500000000006	28.9
	15.79375	14.1		27.593749999999993	26.2
	16.03125	15		27.468749999999996	29.8
	15.781249999999998	15.5		26.787499999999998	33.1
Juil.	15.181249999999999	18.1		26.775000000000002	29.5
	15.893749999999999	17.8		27.574999999999996	31.2
	16.11875	18.6		27.256249999999998	35.1
	16.381249999999998	17.3		26.675	30.1
	16.39375	17.2		28.800000000000004	30.5
	17.212500000000002	12.5		28.7875	27.8
	17.05625	12.7		27.737499999999997	25.4
	16.775	12.2		28.406249999999996	24
	17.2625	14		28.3375	23.2
	16.79375	10.9		28.468750000000004	24
	16.56875	11.8		27.224999999999998	29.2
	16.450000000000003	14.3		26.475	33.2
	15.999999999999998	18.2		26.2375	28.4
	16.675	15.7		28.193749999999998	30.2
	17.40625	16.3		28.081249999999997	34.9
	16.98125	18.3		26.5625	37.6
	16.55	20.5		27.424999999999997	39
	16.39375	20.7		28.624999999999996	37.9
	16.743750000000002	18.1		28.6125	33.7
	17.006249999999998	21.2		28.643749999999997	39.1
	17.256249999999998	21.9		27.881250000000005	40.4
	16.462500000000002	21.7		28.350000000000005	40.3
	16.756249999999998	21.2		26.74375	38.7
	16.493750000000002	20		27.800000000000004	32.4
	17.1125	17.9		27.949999999999996	32
	16.975		14.7	29.268749999999997		33
	17.000000000000004		16.9	28.756249999999994		36.9
	16.10625		19.9	27.718749999999996		32.9
	15.699999999999998		14.9	27.324999999999996		31.4
	16.0125		13.8	28.30625		32.1
	16.425		13.9	28.131249999999998		32.4
Août	16.812499999999996		15.4	29.499999999999996		35.7
	16.60625		18.2	28.09375		38.2
	15.593750000000002		16	27.300000000000004		27.4
	16.343750000000004		16.2	27.775000000000002		27.9
	16.5125		16.5	27.743750000000002		27.9
	16.0625		16.1	26.9		27.7
	15.606250000000003		15.9	26.687499999999996		26.2
	16.0125		15.8	26.843750000000004		27
	15.69375		15.6	26.39375		26.4
	15.7375		15.7	26.781249999999996		27
	15.737500000000002		15.7	26.89375		26.8
	16.068749999999998		15.6	26.843750000000004		26.6
	15.26875		15.4	26.925		27.1
	15.093749999999998		15	25.94374999999999		26.7
	14.8625		15.5	26.706249999999994		26.6
	15.375000000000002		15.2	25.81875		25.7
	14.962500000000002		14.2	25.893749999999994		25.2
	14.893749999999999		14.5	24.924999999999997		24.4
	13.874999999999996		13.8	23.487500000000004		24.5
	13.8		14.1	24.106249999999996		24.5
	14.01875		14.1	24.987499999999997		24.8
	13.99375		14	25.39375		24.6
	13.962499999999999		13.6	24.193749999999998		23
	12.981250000000001		12.3	23.099999999999998		23.7
	13.131250000000001		13.2	24.287499999999998		24.6
	13.25			24.34375
	13.193750000000001			24.556250000000002
	13.787499999999998			23.837500000000002
	13.55			24.49375
	13.212499999999999			24.199999999999996
	13.35625			21.825
Sep.	12.693749999999998			23.206249999999997
	13.262499999999998			22.500000000000004
	12.868749999999999			21.456250000000004
	11.75625			21.006249999999998
	11.443749999999998			20.2875
	10.5875			20.393750000000004
	10.625000000000002			20.625
	10.11875			19.91875
	10.175			18.86875
	10.43125			19.381249999999998
	10.7125			19.65625
	10.887500000000001			19.7375
	10.412499999999998			19.643750000000004
	10.14375			19.437500000000004
	9.774999999999999			18.737499999999997
	9.23125			18.081249999999997
	8.31875			17.981249999999996
	9.05625			17.86875
	8.831249999999999			17.287499999999998
	8.9125			17.793750000000003
	9.331249999999999			17.337500000000002
	8.925			16.143749999999997
	8.7			16.906249999999996
	7.543750000000001			16.349999999999998
	7.793749999999999			16.125
	7.912500000000001			16.58125
	8.59375			18.137500000000003
	7.775			16.7875
	7.89375			15.925
	7.625			15.706249999999999
Oct.	7.5625			15.16875
	7.825			15.46875
	6.7250000000000005			14.612499999999999
	6.71875			14.743749999999999
	6.7			14.712500000000002
	6.893750000000001			15.781249999999998
	7.312499999999999			14.781250000000004
	6.668749999999999			14.2375
	6.856249999999999			14.89375
	6.981250000000001			14.38125
	7.0562499999999995			14.3
	7.6625			14.456249999999999
	7.231250000000001			13.875000000000002
	6.1000000000000005			13.575000000000001
	6.187499999999999			13.4625
	6.15			13.35625
	5.6125			13.23125
	5.462500000000001			13.19375
	5.8625			13.01875
	5.7250000000000005			13.168749999999998
	5.393750000000001			13.231249999999998
	5.868750000000001			12.624999999999998
	5.29375			12.83125
	5.531249999999999			12.450000000000003
	5.506250000000001			11.9
	5.074999999999999			12.03125
	5.199999999999999			11.443749999999998
	4.04375			10.34375
	3.8750000000000004			10.381250000000001
	3.6812500000000004			9.656250000000002
	3.4625			9.46875
Nov.	3.7562500000000005			9.8875
	4.000000000000001			9.94375
	3.39375			8.44375
	2.843750000000001			8.3625
	2.9687500000000004			8.168750000000001
	3.425			8.256250000000001
	2.7312500000000006			7.675000000000002
	2.26875			6.881250000000001
	1.1374999999999997			6.31875
	1.3500000000000003			6.1875
	0.74375			5.46875
	0.9750000000000001			5.525
	0.23750000000000004			5.15
	0.54375			5.3062499999999995
	0.04375000000000009			4.781250000000001
	-0.5750000000000002			4.21875
	-0.4937500000000001			3.8000000000000003
	-0.7874999999999999			3.5125
	-1.30625			3.4812499999999997
	-1.5625000000000002			3.64375
	-0.6750000000000003			4.043750000000001
	-0.3875000000000001			4.199999999999999
	-0.4875			3.9250000000000003
	-0.23125			4.26875
	-0.15624999999999978			3.9687500000000004
	-0.5937499999999998			3.906249999999999
	-0.5687500000000001			4.25625
	-0.2687500000000001			4.24375
	-1.3499999999999999			3.5000000000000004
	-1.3562499999999997			2.9250000000000003
Déc.	-0.9312499999999999			3.3187500000000005
	-0.95			3.9
	-0.9812499999999996			3.8937500000000003
	-0.6937500000000001			3.593750000000001
	-0.7999999999999997			3.9250000000000003
	-0.6062500000000001			3.7687499999999994
	-0.48125000000000007			3.7500000000000004
	-0.21874999999999997			4.43125
	0.65625			4.31875
	0.8250000000000001			5.925
	1.15			5.706250000000001
	0.5750000000000002			4.55625
	-0.2875			4.5125
	-1.2062499999999998			4.074999999999999
	-1.7562499999999999			3.1375
	-2.337500000000001			2.9
	-2.146666666666667			3.893333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

40°C

Temp. la Plus Haute

4 Août 26

-11°C

Temp. la Plus Basse

12 Jan. 26

Analyse Saisonnière

Mois le Plus ChaudAoût36.81°C

Mois le Plus FroidJanvier-3.45°C

Mois le Plus PluvieuxFévrier2.2mm

Mois le Plus VenteuxJuillet24.03km/h

Trnava 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 Trnava?

Août est historiquement le mois le plus chaud de Trnava, avec des températures maximales moyennes d'environ 28°C. Lors des pics de vagues de chaleur, les températures les plus élevées enregistrées ont atteint 40°C le 2026-08-04.

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

Janvier est le mois le plus froid de Trnava, avec des températures minimales moyennes d'environ -2°C. Le record absolu le plus bas de -19°C a été enregistré le 2010-01-27.

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

La pluviométrie annuelle moyenne de Trnava est d'environ 638.3mm, basée sur des enregistrements couvrant 17 ans.

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

Trnava enregistre historiquement environ 177.2 jours de pluie par an. Septembre a le plus grand nombre de jours de pluie avec une moyenne de 14.4 jours.

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

La température la plus élevée jamais enregistrée à Trnava est 40°C le 2026-08-04.

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

La température la plus basse jamais enregistrée à Trnava est -19°C le 2010-01-27.

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

Trnava connaît ses vents les plus forts pendant Mars. Le record historique de rafale de 46.6 kph a été enregistré le 2020-02-04.

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

Habituellement, l'humidité de Trnava atteint son maximum en Janvier à environ 84.3% et descend à son minimum en Août à environ 59.7%.

Articles récents sur la météo

Voir tous les blogs

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

Trnava 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

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

Trnava 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

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