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

Xinyang Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.8374999999999999	-0.7		9.73125	2
	0.20000000000000007	-2.4		9.193750000000001	3.8
	-0.14374999999999993	0.1		9.29375	8
	0.3	3.2		8.299999999999999	8.3
	0.6749999999999999	0.9		7.293750000000001	8.5
	0.28750000000000003	1.9		7.1375	8.8
	-0.71875	1.7		6.462499999999999	10.4
	-0.8124999999999999	1.9		8.175	9.3
	-1.0437499999999997	3.3		7.7562500000000005	12.9
	-1.03125	3.8		6.793750000000001	9.3
	-0.5499999999999999	-0.5		8.393749999999999	7.8
	-0.6875000000000002	3.4		9.16875	14.1
	0.15000000000000013	6.3		9.83125	15.6
	0.08750000000000002	9		8.774999999999999	18.7
Jan.	-0.975	9.2		7.4937499999999995	19.2
	-0.7625	7.2		7.881250000000001	17.5
	-0.9312499999999999	2.9		8.5625	12.7
	-0.5187499999999999	1.6		9.3125	8.4
	0.8562500000000001	-1.9		10.700000000000001	1.5
	0.375	-6.6		8.65625	-2.2
	-0.27499999999999986	-11.8		7.987499999999999	-2.1
	-0.8374999999999997	-5		7.7125	2.5
	-0.2374999999999997	-1.3		8	9.1
	-0.25000000000000006	1.3		7.575	11.7
	-0.5375	2.1		7.199999999999999	4.6
	-0.51875	2.2		7.9624999999999995	8.6
	-0.8812500000000001	0.8		7.8812500000000005	5.7
	-0.6312499999999999	3.4		8.15625	9.4
	-0.10624999999999996	3.1		8.9625	9.4
	0.58125	2.1		9.2625	4.6
	0.55	2.1		8.9625	5
	0.16249999999999998	3.3		8.325	11
	0.15000000000000002	4.4		7.531250000000001	11.8
	-0.38125000000000003	3.9		8.575000000000001	12.7
	-0.9875	5.9		9.812500000000002	15.3
	-0.012499999999999976	8		9.749999999999998	16.2
	1.0875000000000001	1.2		9.612499999999999	9.3
	0.5062499999999999	-1.2		8.0875	5
	-0.21250000000000008	0		7.4375	8.4
	-0.30625	1.6		8.656250000000002	6.6
	0.21874999999999994	3.2		9.524999999999999	13.5
	0.8875000000000003	4.7		10.03125	14
	1.26875	6.4		10.175	16.8
	1.4937500000000001	7.6		11.181249999999997	18.7
	2.6125000000000003	9.4		11.66875	20.9
Fév.	1.34375	2.9		9.856250000000001	13.9
	1.2125	1.6		11.56875	5
	1.4812499999999997	-0.1		11.537500000000001	8.6
	2.3125	3.5		11.01875	11.9
	2.375	6.9		11.862499999999999	16.9
	1.7937500000000002	7.5		11.20625	18.9
	2.0124999999999997	9.8		11.274999999999999	21.9
	2.5187500000000003	10.6		12.218749999999998	18.2
	2.9312499999999995	5.1		12.662499999999998	10
	3.3000000000000007	5.1		13.45625	9.1
	3.75625	4.8		13.743749999999999	15.9
	4.20625	6.8		13.2375	9.8
	4.25	6.3		12.893749999999999	10.5
	4.300000000000001	8.1		12.625	10.5
	3.8125	3.7		11.731250000000001	8.2
	2.7125000000000004	2.5		12.674999999999999	4.6
	3.475	3.6		13.8375	10.9
	4.387499999999999	5.4		15.118749999999999	15.5
	5.481250000000001	8.4		14.174999999999999	12.1
	4.749999999999999	4.8		13.993750000000002	13.5
	4.46875	4.7		15.18125	11
	5.9125	4		17.012499999999996	12.8
	5.518750000000001	7.4		16.8125	15
	5.78125	5.8		16.38125	17.8
	6.13125	9.2		18.18125	19.1
	7.606250000000001	5.7		17.875	16.2
	6.956249999999999	7.3		17.73125	19.7
	6.825	8.5		17.4375	18.4
Mar.	7.175000000000001	6.6		18.06875	7.8
	7.1625	6.8		17.08125	8.7
	7.087499999999999	7.3		17.224999999999998	7.9
	7.6312500000000005	7.3		16.743750000000002	15.7
	8.156250000000002	4.8		16.5	15.8
	7.368750000000001	9.3		15.774999999999999	17.1
	6.3625	9.4		17.30625	19.1
	7.793749999999999	13		17.674999999999997	21.7
	7.79375	11.9		17.1875	16.6
	8.36875	10.7		17.3875	14.6
	8.11875	9.6		18.875	19.7
	8.418750000000001	12.6		20.081249999999997	16
	8.481250000000001	12.1		21.106250000000003	22.4
	9.631250000000001	11.1		21.087500000000002	20
	9.724999999999998	13.8		21.150000000000002	24.5
	10.899999999999999	11.7		19.924999999999997	13.9
	9.675	10.8		20.393749999999997	16.8
	10.06875	11.8		21.41875	23.9
	9.9375	14.5		21.331250000000004	20.5
	9.74375	14.4		21.20625	21.4
	9.35625	9.9		18.931250000000002	22.3
	9.400000000000002	15.1		18.975	27
	9.818750000000001	15.1		19.46875	20.2
	9.5625	13		20.275000000000002	20.6
	10.756250000000001	12.9		23.456250000000004	19.2
	10.91875	13.3		23.162499999999998	22.1
	11.531249999999998	16.8		22.849999999999998	25.7
	11.9125	16		22.099999999999998	22.3
	10.756249999999998	12.3		21.062500000000004	21.7
	10.675	13.7		21.599999999999998	17.6
	10.98125	13.3		22.425000000000004	19.3
Avr.	12.231250000000003	13.3		23.975	22.2
	13.05625	16.6		24.45	22.2
	13.543750000000001	15.3		26.081250000000008	26.7
	14.531250000000002	17.2		23.9375	28
	12.425	17.3		22.8	29.1
	12.90625	12.7		23.4625	15.9
	13.149999999999997	9.2		21.012500000000003	19
	12.00625	8		21.693749999999998	10.2
	12.64375	10.5		23.512500000000003	16.7
	13.724999999999996	10		23.937500000000004	23.4
	13.487499999999997	13.7		23.10625	25.5
	13.825000000000001	16		24.625000000000004	28.9
	14.175	18.5		25.675	27.3
	13.806249999999999	12		25.218749999999996	17.7
	14.018749999999997	10.4		26.2125	19.7
	15.031250000000002	11.1		28.162499999999994	23.3
	15.63125	13.1		27.99375	25
	15.793749999999998	14.4		26.2	15.9
	15.256250000000001	14.3		26.443750000000005	25.1
	15.756249999999998	14.5		26.468750000000004	27.8
	16.03125	15.8		27.3375	27.8
	16.243750000000002	18.2		25.73125	30.7
	16.35	17.7		27.187499999999996	23.8
	16.81875	13.9		25.36875	22.6
	16.043750000000003	14.2		25.7375	26.1
	15.15	15.1		25.456250000000004	28.8
	15.05625	18.2		25.94375	32.6
	15.862499999999999	20.8		28.062500000000004	31
	17.012499999999996	21.8		28.493750000000002	29.5
	17.906249999999996	20.4		28.056250000000002	25
Mai	17.46875	18.7		26.287499999999998	29.1
	16.675	20.5		27.387499999999996	30.9
	17.406249999999996	21.8		28.56875	24.3
	18.393749999999997	19.4		29.53125	21.6
	18.900000000000002	18.9		29.325	25.8
	18.68125	19.2		29.687500000000004	23.5
	17.925	16.4		27.806250000000002	27.1
	17.381249999999998	21.1		27.568750000000005	28.3
	16.918750000000003	21.6		28.224999999999994	32.1
	17.975	22.4		28.975	25.1
	19.456249999999997	22.6		29.68125	29.2
	19.25625	18.2		28.125	23.8
	19.1	17.5		29.487500000000004	28.8
	19.10625	21.5		29.068749999999998	30.4
	18.993750000000002	21.3		29.175	27.6
	19.599999999999998	19.5		28.9375	31.1
	19.299999999999997	19.8		29.212500000000002	30.7
	20.268750000000004	22.5		30.237500000000008	32.3
	20.08125	23.7		30.06875	34.2
	19.89375	24.5		29.45625	34.7
	19.450000000000003	23.9		29.5625	35.8
	19.868750000000002	22.6		30.275	34.1
	20.937500000000004	21.9		31.0125	35.5
	20.956249999999997	18.2		31.081249999999994	22.5
	21.1375	17.8		31.712500000000002	27.3
	21.65	18		32.21875	31.1
	21.83125	20.4		31.5125	32.8
	21.275	22.2		32.325	33.9
	22.106250000000003	20.6		32.3125	32.6
	22.087500000000002	18.6		32.2	29.1
	21.76875	19.4		32.099999999999994	33.6
Juin	22.4	23.1		32.56875	34.6
	22.69375	23.2		31.4625	34.1
	22.475000000000005	23.7		30.9125	34.8
	22.025	21.2		30.49375	26.7
	22.124999999999996	20.2		30.75	23.3
	22.45625	20.1		30.94375	31.4
	22.531249999999993	20.3		30.499999999999996	31.4
	22.28125	19.1		31.34375	20.2
	22.73125	19.3		31.4875	26.1
	22.075	21.1		31.375	25.1
	22.212500000000002	20.5		29.375000000000004	30.3
	22.0625	21.6		30.818749999999998	31.2
	22.412499999999998	21.5		30.606250000000003	34
	22.781249999999996	23.1		31.13125	33.6
	22.824999999999996	25.5		30.76875	34.6
	22.637500000000003	23.4		31.33125	33.7
	23.481249999999996	21.6		32	33.2
	23.91875	23.4		32.06875	33.8
	23.95	22.5		32.15625000000001	29.4
	23.85625	23		30.73125	27.8
	23.3125	25.1		30.350000000000005	31
	23.437500000000007	25.3		31.293750000000003	31
	23.562500000000007	23.4		31.13125	31
	24.118749999999995	24.6		31.887500000000003	32.2
	24.012499999999996	24.7		31.69375	32.9
	23.887499999999996	25.8		31.71875	35
	24.25625	26.7		32.48125	36
	24.50625	25.3		31.318749999999998	31.9
	24.0875	25.7		32.625	34.9
	24.156250000000004	26		32.09375	34.7
Juil.	23.925000000000004	27.5		31.218750000000004	34
	23.46875	27.2		30.312500000000004	34.7
	23.35625	23.6		31.250000000000004	33.2
	23.793749999999996	22.4		31.725	31.2
	23.9375	23.5		31.731250000000003	31
	23.875	22.6		31.356250000000003	33.2
	24.400000000000002	24		32.49375	34.3
	24.762499999999996	24.2		33.7125	32.1
	25.268749999999997	23.6		33.475	32.8
	24.99375	24.7		33.768750000000004	34.5
	25.262499999999996	25.6		34.237500000000004	35.4
	25.056250000000002	26.2		34.19999999999999	36.3
	25.206249999999997	24.2		33.2125	26.1
	24.76875	25.1		32.61875	31.1
	25.381249999999998	24		33.175	29.3
	25.19375	24.8		34.043749999999996	31.8
	25.44375	25		34.2875	32.8
	25.631249999999994	25.5		33.96875	33
	25.18125	25.8		33.618750000000006	35.2
	25.325	25.5		34.45	36.4
	25.85625	24.3		34.00625	35.3
	26.012500000000003	24		33.9625	34.3
	25.75625	25.4		33.63125000000001	35.6
	25.3	24.4		32.881249999999994	34.9
	24.906249999999996	25.2		33.224999999999994	33.9
	24.7625	23		33.15	30.6
	24.399999999999995	22.7		32.731249999999996	27.3
	24.59375		23	32.7125		25.2
	24.774999999999995		22	32.9875		25.5
	24.51875		17.9	32.556250000000006		22.6
	24.2625		18.9	33.41875		20.6
Août	24.568749999999998		19.7	33.512499999999996		29.6
	24.468749999999996		20.3	32.86875		30.2
	24.34375		22.5	33.45		31.3
	24.29375		23.1	33.6125		32.3
	24.387499999999996		24.5	33.125		32.9
	24.1125		23.7	32.525		31.9
	23.2375		23.1	31.831249999999997		31.5
	23.418749999999996		23.3	31.368750000000002		31.6
	22.631250000000005		22.8	30.174999999999997		30.7
	22.450000000000003		22.7	31.03125		31.3
	22.562500000000004		22.6	31.0625		31.4
	22.293749999999996		22.3	30.268750000000004		29.6
	21.431250000000002		21.1	28.343749999999993		28.5
	21.18125		21.4	29.712500000000002		30.1
	20.85		20.6	29.768750000000004		29.8
	20.8625		20.6	29.431250000000002		29.3
	20.84375		20.8	28.881250000000005		28.8
	21.062499999999996		21.1	29.531250000000004		29.9
	21.3		20.6	30.112500000000004		29.4
	20.7875		20.8	29.850000000000005		29.9
	20.275000000000002		20.5	29.799999999999997		30.3
	20.375		20.7	30.018749999999997		30.2
	20.8125		21.1	29.400000000000002		29.3
	20.4625		20.3	29.281250000000004		29.7
	20.262500000000003		20.2	29.268749999999997		28.8
	20.70625		20.5	29.387500000000003		29.1
	20.843749999999996		20.5	28.849999999999994		28.5
	20.44375			29.06875
	19.65625			27.95
	19.64375			28.33125
	19.756249999999998			28.437499999999996
Sep.	19.75625			28.793750000000003
	19.749999999999996			29.043750000000006
	19.768749999999997			28.1625
	19.475			26.975
	18.712500000000002			27.16875
	18.368750000000002			27.11875
	18.125			27.53125
	17.38125			26.125000000000004
	16.868750000000002			26.043749999999996
	17.10625			25.4
	17.54375			25.600000000000005
	18.04375			26.63125
	18.787499999999998			25.849999999999998
	18.44375			26.893750000000004
	17.168749999999996			26.131249999999998
	17.406250000000004			26.21875
	17.193749999999998			25.962500000000002
	16.91875			26.04375
	16.08125			26.106250000000006
	15.237499999999997			24.60625
	14.599999999999998			22.912499999999998
	14.362499999999999			21.6375
	14.331249999999997			22.406250000000004
	15.325			24.34375
	15.06875			24.937500000000007
	14.8625			23.59375
	14.46875			22.937500000000004
	13.925			23.318750000000005
	14.475000000000001			22.493750000000002
	14.343749999999998			22.637499999999996
Oct.	14.175000000000002			22.506250000000005
	14.431249999999999			21.575000000000003
	13.78125			22.262499999999996
	12.868749999999997			22.018749999999997
	12.70625			22.112499999999997
	12.312500000000002			21.299999999999997
	12.499999999999998			20.943749999999994
	12.706249999999999			22.118750000000002
	12.362500000000004			22.031250000000004
	11.6625			21.474999999999998
	12.393749999999999			19.831249999999997
	11.33125			20.537499999999998
	12.0625			19.943749999999998
	12.587500000000002			20.8
	11.7625			20.61875
	11.7125			20.406250000000004
	11.712499999999999			21.4375
	11.831250000000002			21.012500000000003
	11.6375			20.53125
	10.98125			21.0875
	10.700000000000001			19.275000000000002
	10.512500000000003			18.5875
	9.46875			18.400000000000002
	9.6625			17.675
	8.99375			17.94375
	9.237499999999999			18.28125
	9.2375			17.731250000000003
	9.037499999999998			17.462500000000002
	8.66875			17.368750000000002
	8.34375			17.4875
	8.4			17.96875
Nov.	8.74375			17.5625
	8.81875			16.775000000000002
	8.075			15.9625
	7.05625			15.125000000000002
	7.3500000000000005			16.193749999999998
	7.60625			16.73125
	8.45			15.775
	6.968750000000001			15.06875
	5.89375			12.993750000000004
	4.58125			12.556249999999999
	4.1937500000000005			13.125
	4.0125			13.056249999999999
	5.0375			13.962500000000002
	5.18125			14.399999999999997
	4.7625			12.8
	4.06875			11.3125
	2.95625			11.75
	2.94375			12.675
	2.9687499999999996			12.1125
	3.4875000000000003			12.175000000000002
	3.73125			12.631249999999998
	3.325			12.425
	2.5812500000000003			12.25625
	3.3500000000000005			12.55625
	3.2			12.249999999999998
	3.2937499999999993			11.64375
	1.9375			9.281249999999998
	0.9437499999999999			10.081250000000002
	0.9437500000000001			10.30625
	1.7624999999999997			9.11875
Déc.	1.7562499999999999			8.16875
	0.04375000000000004			7.44375
	-0.56875			8.681249999999999
	0.3999999999999999			9.40625
	0.8999999999999999			9.968750000000002
	0.36874999999999997			9.4125
	0.7062500000000002			9.675
	0.7375			9.8375
	0.35624999999999996			9.237499999999997
	0.21249999999999994			8.30625
	0.06250000000000008			8.4875
	0.12499999999999994			8.575
	-0.3125			8.0125
	0.44375000000000003			9.356250000000001
	0.06875000000000012			9.6375
	0.11875000000000002			9.525
	-1.3733333333333333			8.473333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

36°C

Temp. la Plus Haute

3 Août 26

-12°C

Temp. la Plus Basse

21 Jan. 26

Analyse Saisonnière

Mois le Plus ChaudAoût33.65°C

Mois le Plus FroidJanvier1.4°C

Mois le Plus PluvieuxJuillet4.23mm

Mois le Plus VenteuxAoût22.18km/h

Xinyang 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 Xinyang?

Juillet est historiquement le mois le plus chaud de Xinyang, avec des températures maximales moyennes d'environ 32°C. Lors des pics de vagues de chaleur, les températures les plus élevées enregistrées ont atteint 41°C le 2013-08-11.

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

Janvier est le mois le plus froid de Xinyang, avec des températures minimales moyennes d'environ 0°C. Le record absolu le plus bas de -12°C a été enregistré le 2018-01-28.

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

La pluviométrie annuelle moyenne de Xinyang est d'environ 958.8mm, basée sur des enregistrements couvrant 17 ans.

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

Xinyang enregistre historiquement environ 143 jours de pluie par an. Juillet a le plus grand nombre de jours de pluie avec une moyenne de 19.8 jours.

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

La température la plus élevée jamais enregistrée à Xinyang est 41°C le 2013-08-11.

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

La température la plus basse jamais enregistrée à Xinyang est -12°C le 2018-01-28.

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

Xinyang connaît ses vents les plus forts pendant Avril. Le record historique de rafale de 41 kph a été enregistré le 2025-04-12.

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

Habituellement, l'humidité de Xinyang atteint son maximum en Juillet à environ 75.9% et descend à son minimum en Décembre à environ 52.2%.

Articles récents sur la météo

Voir tous les blogs

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

Xinyang 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

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

Xinyang 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

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