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

Nanjing Graphique des Tendances Météorologiques

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.69375	1.2		9.2375	5.1
	1.03125	-1.3		9.55	4.6
	1.2125	-2		9.618749999999999	8
	1.3875000000000002	2.3		8.51875	8.4
	1.98125	1.9		8.162500000000001	8.7
	1.825	2.6		8.21875	8
	0.6375000000000001	0.8		7.218749999999999	10
	0.24374999999999997	1		7.34375	9.1
	-0.5437500000000001	1.8		7.450000000000001	12
	0.08125000000000004	3.3		6.899999999999999	9.1
	0.43749999999999994	-0.7		7.731249999999999	5.7
	0.54375	0.2		8.8	14
	1.2062499999999998	5.1		9.218749999999998	15.1
	0.4	7.5		9.425	19
Jan.	-0.037500000000000006	8.6		7.6375	18.5
	0.01250000000000006	8.4		7.1625000000000005	20.2
	0.5812499999999999	6.4		8.493749999999999	13.3
	0.48124999999999996	5.3		8.924999999999999	15.5
	1.3625	0.4		10.081249999999999	8
	1.2437500000000001	-2.3		9.075	0.2
	0.90625	-4.6		7.9125	2.7
	0.8687499999999999	-4.2		7.56875	4.2
	-0.13750000000000012	-2.6		7.812499999999999	9.1
	-0.22500000000000003	1.3		7.393750000000001	9.9
	0.5625	3.1		7.2	12.1
	0.21874999999999994	4.6		7.556249999999999	7.4
	0.19999999999999996	3.6		7.6625000000000005	9
	0.6375000000000003	1		7.912499999999999	8.6
	0.3125000000000002	2.7		8.5	10.7
	0.5687499999999999	1.8		9.5	5.8
	1.65625	1.7		9.8625	4.1
	1.7000000000000002	1.8		8.774999999999999	8.1
	0.86875	3.5		7.7749999999999995	11.8
	0.7124999999999999	2.9		8.437500000000002	11.8
	0.39374999999999993	4.9		8.68125	15.4
	0.7625	8.9		8.59375	13.9
	1.35625	0.7		8.93125	8.7
	0.36874999999999997	-1.1		8.125	3.4
	0.29374999999999996	-0.5		6.79375	6
	0.14375000000000004	-0.3		7.612499999999999	7.8
	0.45624999999999993	1.4		8.58125	10.1
	1.4312500000000004	3.5		9.1125	13.3
	2.2062500000000003	5		10.06875	15.6
	2.075	7.1		10.968750000000002	17.9
	3.13125	10.1		11.012500000000001	20.5
Fév.	2.26875	3.2		9.925	20.3
	2.04375	2.9		10.3	7.9
	1.7187499999999998	2.6		9.674999999999999	8.9
	1.95	3.9		10.2	12.6
	1.5374999999999999	6		11.225000000000001	14
	1.4874999999999998	6.8		10.549999999999999	19.2
	2.15	8.1		10.8875	21.5
	3.0062500000000005	9.4		11.281250000000002	19.1
	2.6062499999999997	6.2		11.4625	14.9
	3.69375	5.5		13.2625	10.8
	4.3875	6.2		12.86875	14.2
	4.04375	8.1		12.787500000000001	9
	4.13125	8.8		13.2	9.4
	5.1812499999999995	5.5		12.95	15.6
	4.7625	9.1		12.512500000000001	12.8
	3.04375	7.7		12.3125	9.9
	3.6500000000000004	5		12.80625	12.3
	4.8375	4.6		14.962499999999999	14
	5.606249999999999	6.4		13.006250000000001	11.9
	4.88125	5.2		12.906250000000002	12.8
	4.39375	2.4		13.600000000000001	11.2
	5.075	2.9		14.94375	13.6
	5.218749999999999	5.3		15.437500000000004	13
	4.69375	2.7		15.356249999999998	14.4
	5.8	4.8		16.331250000000004	16
	6.4937499999999995	5.1		17.9375	13.5
	6.1187499999999995	4		16.3375	15.3
	6.56875	4.8		16.8875	18.1
Mar.	6.1000000000000005	8.4		17.225	10
	6.25	7.1		16.78125	8.6
	7.10625	7.6		16.725	8.8
	7.474999999999999	8.4		15.937499999999998	13.5
	7.743749999999999	7.8		15.974999999999996	14.1
	7.106249999999999	7.4		14.875	16.1
	6.25	6.6		15.475000000000001	16.6
	7.15625	8.7		17.268749999999997	20
	7.087499999999999	10.9		16.35625	16.2
	7.3812500000000005	9.9		16.4625	11.8
	7.70625	8		17.256249999999998	19.4
	7.5625	11.5		19.068749999999998	20
	8.2375	10.4		19.074999999999996	17.1
	8.45	8.7		20.05625	19.3
	8.24375	10.6		19.16875	23.8
	9.524999999999999	11.7		18.39375	17.4
	9.524999999999999	9.7		18.7625	16.5
	9.3125	10.4		20.075	21.7
	9.41875	12.2		20.59375	22.3
	9.89375	13.3		19.706249999999997	16.7
	8.84375	12.8		18.51875	21.9
	9.0375	13.1		18.70625	25.9
	8.443749999999998	13		18.056250000000002	20.7
	8.84375	9.5		19.124999999999996	20.3
	9.893749999999999	10.7		21.543750000000003	18.6
	9.55	15		21.775000000000002	22.7
	10.581250000000002	15.1		22.3625	26.9
	11.39375	12.6		21.425	21.2
	10.900000000000002	12		20.893750000000004	15.1
	10.437499999999998	12.2		20.38125	16.4
	10.799999999999999	13.6		20.4875	19
Avr.	10.893749999999999	13.5		23.21875	22.4
	12.36875	14.3		23.256249999999994	18.9
	12.275	14.4		24.5	23.3
	13.174999999999999	14.8		23.275	24.2
	12.48125	11.7		22.525000000000006	25.6
	12.64375	11.1		22.05625	17
	12.637500000000001	10.9		21.20625	18.3
	12.668750000000001	11.1		21.66875	12.5
	13.08125	10.1		22.968750000000004	14
	12.94375	9.4		22.9375	21.9
	13.50625	11.4		23.05	22.7
	13.568749999999998	12.7		23.13125	26.6
	12.85	17.3		23.45	27
	13.118749999999999	10.9		23.61875	16.4
	13.0375	9.6		24.224999999999998	16.6
	14.306250000000002	8.3		25.9375	20.9
	14.7875	11.7		26.6	24.9
	14.593749999999998	14.9		25.656249999999996	16.5
	14.549999999999999	13.2		25.91875	22.3
	15.318750000000001	13.9		25.374999999999996	25.9
	15.0375	15.4		25.868750000000002	27.6
	15.81875	16.4		24.831249999999997	29.5
	15.200000000000001	16.9		26.25	25.7
	15.968749999999998	13.9		24.8625	22.9
	15.5875	13.3		24.056249999999995	25.4
	15.60625	13.7		24.46875	27.8
	15.46875	18.3		25.20625	31.3
	15.806249999999999	20.3		26.68125	33.2
	16.0125	21.4		28.20625	33.1
	17.6375	20.9		27.675	30
Mai	17.40625	19.1		25.862499999999997	28.3
	16.5625	19.6		26.325	29.7
	17.13125	18.6		27.06875	31.2
	17.593750000000004	19.3		28.0375	30
	17.50625	20.3		27.593750000000004	23.7
	17.862499999999997	20.2		27.79375	24.5
	17.4875	17.7		27.400000000000002	28.6
	17.20625	18.3		26.943749999999998	29.2
	16.9625	21.8		26.050000000000008	31.5
	16.975	22.4		27.462500000000002	26.3
	18.325	22.6		28.85	31.1
	18.725	21.8		26.7875	26.6
	18.862499999999997	20.8		28.056250000000002	25
	18.9	22.1		27.65625	32.8
	18.7125	22.4		28.3	29.3
	18.95625	20		27.975	27.7
	18.8625	17.5		26.793749999999996	30.5
	19.15	19.3		28.5	32.1
	19.062500000000004	22.6		28.381249999999998	33.9
	18.83125	24		28.56875	30.8
	19.193749999999998	22.6		28.3125	33.1
	19.66875	21.5		28.7375	31.3
	19.562499999999996	20.4		29.08125	30.2
	19.681250000000002	20.3		28.71875	28.6
	20.081249999999997	20		28.73125	25.8
	20.6	18.3		29.718749999999996	29.9
	21.193750000000005	18.6		29.375	33
	20.71875	22.4		29.843750000000004	34.8
	21.16875	24.3		30.20625	35.4
	21.325000000000003	20.2		29.987499999999997	26.9
	21.3875	19.4		30.831249999999997	28.5
Juin	21.718749999999996	20.5		30.906250000000004	28.8
	22.2625	20.8		30.418749999999996	30.4
	21.868750000000002	21.4		29.575	34.1
	21.906250000000004	25.1		30	28.8
	21.650000000000006	23.3		29.662500000000005	25.5
	21.90625	21.4		29.224999999999998	29.7
	21.712500000000002	23.3		29.318750000000005	31.6
	21.568749999999998	20.2		29.7125	22.1
	21.787499999999998	20.3		30.05	26
	21.91875	20.7		29.150000000000006	25.4
	21.33125	20.3		29.0875	29.5
	21.962500000000002	22.3		29.3875	31.2
	22.187500000000004	21.1		29.837500000000002	31.4
	23.006249999999998	22.5		29.599999999999998	33.7
	22.856250000000003	23.7		30.387499999999992	29.7
	23.156249999999996	22.9		29.806249999999995	32.5
	23.76875	22.3		31.106249999999992	32.2
	24.1625	23.5		30.912499999999998	33.6
	24.137499999999996	23.3		30.831250000000004	25.5
	23.9	22.8		30.45625	25.3
	23.7	23.9		30.556249999999995	26
	23.787499999999998	24.3		30.924999999999997	30.4
	24.375	24.5		31.231249999999996	30.1
	23.875000000000004	24.3		30.937500000000004	32.7
	24.225	25		31.20625	32.8
	24.33125	24.9		31.899999999999995	34.9
	24.281250000000004	25.3		31.881249999999998	33.2
	24.650000000000002	25.4		31.200000000000003	27.9
	24.456249999999997	24.7		31.462500000000002	25.7
	24.287499999999994	25.7		31.887500000000006	34.5
Juil.	24.337500000000002	27.5		30.7625	34.2
	23.73125	27.5		30.0875	34.5
	23.843750000000004	27.4		30.6625	33.6
	24.1625	25.6		31.5625	29.1
	24.3625	24.1		31.593750000000004	26.6
	24.48125	23		32.118750000000006	25.3
	24.837500000000002	22.6		32.3875	26.4
	25.2875	23.5		33.18125	26.9
	25.487500000000004	24.7		33.625	29.2
	25.662499999999994	23.7		33.05	32.4
	25.325000000000006	24.4		33.175000000000004	35.5
	25.374999999999996	26.4		33.106249999999996	33.8
	25.4625	26.4		32.537499999999994	32.4
	25.493749999999995	26		33.06875	31.7
	25.625	26		33.71875	34.4
	25.631249999999998	26.2		33.84375	33.8
	25.8125	26.1		33.43750000000001	35.5
	25.66875	26.3		33.11875	35.2
	25.543750000000003	26.1		33.53125	36.2
	25.88125	25.7		33.5	35.9
	25.831250000000004	24.8		33.43749999999999	33.7
	25.937500000000004	25.7		34.3	33.7
	26.043749999999996	25.3		34.1875	33.7
	25.68125	25.3		33.58125	34.2
	24.949999999999996	25.2		32.59375	33.7
	25.25		24.3	32.474999999999994		28.6
	25.081250000000004		24.3	32.09375		26.3
	25.225		25.6	32.09375		30
	25.162500000000005		24.6	32.425		31.6
	25.03125		23.9	32.5125		30.7
	25.1		25	33.037499999999994		29.5
Août	24.86875		22.6	33.01875		30
	24.812499999999996		23.7	32.06875		25.5
	24.431250000000002		24.6	32.137499999999996		32.3
	24.481249999999992		24.4	32.54375		32.8
	24.387500000000003		24.7	32.918749999999996		33
	24.7125		24.7	32.300000000000004		32.2
	24.44375		24.1	32.40625		31.8
	24.162499999999994		24	31.587500000000002		31.7
	23.612499999999994		23.7	31.4		31.5
	23.275		23.3	30.599999999999998		30.7
	23.043749999999996		23.1	30.712500000000002		30.8
	23.049999999999997		23	30.8		30.6
	22.95		22.7	29.65		29.3
	22.424999999999997		22.6	29.60625		29.7
	22.41875		22.2	29.962499999999995		30
	21.924999999999997		21.7	29.76875		29.4
	21.818749999999998		21.9	29.2		28.8
	21.787499999999998		21.9	29.506249999999998		29.4
	21.825000000000003		21.6	29.16875		29.3
	21.937499999999996		21.5	29.443749999999998		28.6
	21.3625		21.3	29.049999999999997		29.2
	21.75		21.8	29.15625		29.7
	21.325		21.4	29.337499999999995		29.1
	21.124999999999996		21.3	29.11875		29.5
	21.06875		20.9	29.124999999999993		29.1
	20.98125			28.999999999999996
	20.96875			29.23125
	21.093750000000004			28.0375
	20.599999999999998			27.9
	20.65			27.39375
	20.962500000000002			28.40625
Sep.	21			28.54375
	20.612499999999997			28.15
	20.01875			27.9875
	19.681249999999995			27.331249999999997
	19.35			27.73125
	18.68125			26.300000000000004
	18.6625			26.9375
	18.25			26.325000000000003
	18.393750000000004			26.04375
	17.75			25.931250000000002
	18.675000000000004			25.893750000000008
	18.75			26.69375
	19.15			26.968750000000007
	19.412499999999998			27.306250000000006
	18.212500000000002			25.462500000000002
	17.8625			25.606250000000003
	17.35			25.837500000000002
	17.625			25.737499999999997
	17.462500000000002			25.7625
	16.312499999999996			25.368750000000002
	15.887500000000001			23.71875
	16.26875			23.7125
	16.5875			23.2125
	16.53125			23.03125
	15.981250000000001			25.018749999999997
	15.431250000000002			24.6125
	15.224999999999996			23.575000000000003
	15.181249999999999			23.093749999999996
	15.212500000000002			22.993750000000002
	15.7125			22.668749999999996
Oct.	14.625			22.35
	14.64375			22.3625
	14.750000000000002			22.231249999999996
	13.93125			22.03125
	13.5625			21.981250000000003
	13.749999999999998			21.918749999999996
	13.231250000000005			21.493750000000002
	13.70625			22.13125
	13.612499999999999			21.74375
	12.56875			21.53125
	12.4375			20.85
	12.64375			20.9625
	12.90625			20.6375
	12.63125			20.65625
	12.4375			20.362499999999997
	12.3625			20.36875
	12.0125			20.693749999999998
	12.06875			21.1875
	11.662499999999998			20.08125
	11.762500000000001			20.756249999999998
	11.8125			20.16875
	11.50625			19.8
	11.74375			19.59375
	10.549999999999999			19.40625
	10.325			18.025
	9.73125			17.9375
	10.225000000000001			18.05625
	10.39375			18.00625
	9.9625			17.937500000000004
	9.28125			17.8125
	9.29375			17.6125
Nov.	9.41875			18.450000000000003
	9.743750000000002			17.7625
	9.95625			16.35
	8.40625			15.556250000000002
	8.437500000000002			16.46875
	8.7875			16.937500000000004
	9.475			16.381249999999998
	9.21875			16.38125
	7.962500000000001			15.687500000000002
	5.456250000000001			13.299999999999997
	5.09375			13.775000000000002
	6.0249999999999995			13.674999999999997
	5.8875			14.131249999999998
	6.362500000000001			14.46875
	6.66875			14.68125
	5.24375			12.799999999999999
	4.5			11.9875
	3.50625			12.09375
	4			12.037499999999998
	3.61875			12.4
	4.15625			12.46875
	3.8625			12.700000000000001
	3.2437500000000004			11.925
	4.08125			12.393749999999997
	4.24375			12.03125
	4.29375			11.70625
	3.51875			10.1375
	2.35			9.80625
	2.06875			10.6875
	2.6125000000000003			10.637500000000001
Déc.	2.5687499999999996			9.1625
	1.5500000000000003			7.525
	-0.2562500000000001			7.843749999999998
	0.125			8.76875
	1.075			9.28125
	0.94375			9.087499999999999
	1.675			9.23125
	1.775			9.4125
	1.51875			9.225
	0.6937500000000001			7.999999999999999
	0.6125000000000003			7.787500000000001
	0.40000000000000013			8.35625
	1.09375			8.525000000000002
	1.34375			8.78125
	1.28125			9.6
	0.225			9.1625
	-1.4133333333333333			7.62

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Résumé Annuel 2026

36°C

Temp. la Plus Haute

2 Août 26

-5°C

Temp. la Plus Basse

21 Jan. 26

Analyse Saisonnière

Mois le Plus ChaudAoût34.54°C

Mois le Plus FroidJanvier1.9°C

Mois le Plus PluvieuxJuillet8.21mm

Mois le Plus VenteuxJuillet18.83km/h

Nanjing 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 Nanjing?

Août est historiquement le mois le plus chaud de Nanjing, 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 2022-08-14.

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

Janvier est le mois le plus froid de Nanjing, avec des températures minimales moyennes d'environ 1°C. Le record absolu le plus bas de -11°C a été enregistré le 2018-01-29.

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

La pluviométrie annuelle moyenne de Nanjing est d'environ 1254.3mm, basée sur des enregistrements couvrant 17 ans.

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

Nanjing enregistre historiquement environ 161.2 jours de pluie par an. Juillet a le plus grand nombre de jours de pluie avec une moyenne de 21.8 jours.

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

La température la plus élevée jamais enregistrée à Nanjing est 41°C le 2022-08-14.

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

La température la plus basse jamais enregistrée à Nanjing est -11°C le 2018-01-29.

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

Nanjing connaît ses vents les plus forts pendant Mars. Le record historique de rafale de 53.6 kph a été enregistré le 2024-09-16.

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

Habituellement, l'humidité de Nanjing atteint son maximum en Juillet à environ 80.9% et descend à son minimum en Décembre à environ 58.4%.

Articles récents sur la météo

Voir tous les blogs

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

Nanjing 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

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

Nanjing 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

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