Changsha Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Changsha Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.55	3.2		11.66875	5.4
	4.0874999999999995	2.2		11.69375	8.5
	4.1937500000000005	5		11.200000000000001	10.7
	3.94375	5.3		11.531250000000002	6.1
	4.41875	3.8		10.26875	10.7
	4.0062500000000005	4		9.96875	11.4
	3.25625	4.1		8.85625	13
	2.90625	5.5		9.4	13.9
	3.4437499999999996	5.9		10.075	15.6
	3.19375	7.6		9.75625	16.9
	3.53125	5		10.51875	14.5
	3.35625	9.3		12.15625	12.7
	4.1812499999999995	7.2		13.431249999999999	19.7
	4.6937500000000005	10		12.225	22.5
Jan.	3.9875000000000003	12.2		10.5	21.2
	3.28125	15.2		9.7375	20.8
	3.40625	12.8		10.95	17.8
	3.487499999999999	12.4		11.587500000000002	23.1
	4.043749999999999	3.4		12.075000000000001	12.6
	4.71875	-1.5		11.4375	2.8
	3.91875	-2.6		9.90625	0.2
	3.0625	-1.1		9.61875	3.9
	2.68125	1.1		10.274999999999997	11.7
	3.4062499999999996	4.8		9.868749999999999	15.8
	2.53125	7.5		9.90625	13.2
	3.2312499999999997	5.3		9.668750000000001	7.2
	3.21875	5.4		9.875	7.2
	3.1	3.4		9.950000000000003	13.8
	3.1812499999999995	6.9		10.19375	12
	4.0062500000000005	2.5		12.05625	7.2
	4.75	2.1		11.36875	6.2
	4.375	3.1		10.818750000000001	6.6
	4.2375	5.3		9.99375	13.8
	3.8125	7.8		10.131249999999998	16.1
	3.7625	12.2		10.05	21.2
	3.7125	10		10.5375	13.6
	4.55	6.1		10.8875	9.9
	3.425	5.2		10.524999999999999	6.6
	3.325	2.6		10.125000000000004	12.1
	3.0937500000000004	4.7		10.218749999999998	7
	3.9812499999999997	4.8		9.34375	6
	4.025	4.6		11.48125	11.4
	4.73125	9.2		12.350000000000001	14
	4.9375	10.4		12.2625	15.5
	5.4125	11.7		13.125000000000004	22.8
Feb.	4.525	5.3		12.5	25
	5.25	1.2		11.950000000000003	5.7
	5.61875	1.3		13.918749999999998	5.4
	5.9875	4.7		13.518749999999999	11.2
	5.4750000000000005	7.7		13.35	11.4
	4.85	6.1		13.368749999999997	19
	5.356249999999999	10.2		11.968749999999998	23.8
	5.9625	14.6		12.14375	25.4
	6.281250000000001	11.2		12.79375	21.6
	7.375	7.7		14.543750000000001	10.5
	7.056250000000002	9.6		14.243749999999999	17
	6.91875	11.1		13.875000000000002	14.1
	7.25	9.6		14.95	12.2
	7.925	10.4		15.98125	13.5
	7.1125	7.4		14.312500000000002	11.5
	6.58125	6.1		13.812499999999998	9.9
	7.512499999999999	7.3		14.506250000000001	9
	6.987500000000001	8.3		15.368750000000002	15.8
	8.5875	9.1		13.799999999999999	17.1
	7.699999999999999	9.3		14.181249999999999	17.3
	7.843750000000001	9.8		15.0125	17
	8.600000000000001	8.6		16.068749999999998	10.9
	8.075	9.6		17.118750000000002	11
	8.16875	9.2		15.756249999999998	17.7
	8.86875	10.6		17.25625	21
	9.68125	11.5		19.2125	19.3
	10.524999999999999	11.5		18.925	21.4
	10.7	12.3		18.83125	24.1
Mär.	10.4125	9.2		18.16875	13.6
	10.787500000000001	8.7		18.4625	9.5
	10.575	8.8		17.14375	12.6
	10.549999999999999	9.5		17.675000000000004	11.9
	10.412500000000001	9.7		18.424999999999997	11
	10.137500000000001	10.5		18.3375	11.5
	9.781250000000002	10.3		17.793750000000003	13.5
	10.437499999999998	14.1		18.975	15.1
	10.587499999999999	14.2		17.5625	15
	10.800000000000002	12		17.35625	14.6
	10.906250000000002	10.8		19.71875	20.6
	11.262500000000001	13.6		20.39375	16.8
	11.5375	14.6		21.51875	17.4
	11.11875	14.3		21.068749999999998	16.7
	12.725000000000001	14		21.44375	17.5
	13.2125	14.6		19.86875	18.4
	13.331249999999999	11.5		19.66875	13.6
	13.225	11.3		21.712500000000002	22.5
	12.775000000000002	14.4		22.462500000000002	18
	14.712499999999997	13.9		22.337500000000002	17.1
	13.006249999999998	13.6		20.437500000000004	24.1
	12.149999999999999	16.6		19.525000000000006	24.4
	12.156249999999998	17.7		19.6875	18.4
	12.143749999999999	17.1		19.93125	19.6
	13.0125	17.2		22.43125	30
	13.056249999999999	21.7		23.031250000000004	32.1
	14.506249999999998	20.4		22.474999999999998	27.2
	15.500000000000002	19.6		22.81875	22.3
	14.29375	18.2		21.793749999999996	20.5
	13.162500000000001	17.8		21.38125	22.4
	13.418749999999998	17.3		22.78125	20.6
Apr.	14.862499999999997	16.1		23.73125	20.1
	15.549999999999999	16.5		24.187500000000004	19.9
	16.2625	16.5		25.181250000000002	25.5
	16.8	17.4		25	27.7
	15.5	19.3		23.31875	29.3
	16.0375	12.9		23.549999999999997	18.7
	15.912500000000003	12.1		22.575000000000003	13.2
	14.9125	10.2		22.562499999999996	11.7
	14.95	12.3		22.7	20.8
	15.674999999999999	13.3		22.862500000000004	22.9
	15.868749999999999	15.3		23.681250000000002	26.7
	15.825	17		23.718750000000004	28.9
	16.01875	19.4		25.031250000000004	27.9
	16.224999999999998	14		26.374999999999996	18.1
	16.7875	13		26.150000000000002	17.8
	16.9125	11.6		26.562499999999993	22
	17.71875	14.5		27.25625	25.1
	17.74375	16.3		26.5875	28.2
	17.912500000000005	16.3		27.08125	24.3
	17.98125	17.2		24.73125	26.6
	18.16875	16.8		26.61875	28.1
	18.11875	18.5		26.36875	30.2
	18.5625	18.3		26.400000000000002	21.3
	18.493750000000002	13.7		26.15625	17
	18.531250000000004	14.3		27.000000000000004	22.3
	17.6625	16.8		25.343749999999996	26.9
	16.53125	18.9		25.5	29.2
	17.63125	21.3		26.7125	25.9
	18.3	19.1		27.568749999999998	23
	19.187499999999996	20.9		27.94375	28.4
Mai	19.318750000000005	21.7		26.175000000000004	29
	18.331249999999997	22.7		26.625	29.4
	18.731250000000003	22		27.087499999999995	30.3
	19.5	21.8		27.512500000000003	27.5
	20.03125	20		27.31875	20.9
	19.91875	19.2		27.325000000000003	20.9
	19.056250000000002	20.2		26.875000000000004	28.2
	18.568749999999998	22.3		24.775000000000002	30.3
	17.88125	23.7		25.174999999999997	31.5
	18.725	24.5		27.393749999999997	32.1
	19.94375	25.8		28.2625	34.9
	19.86875	23.6		27.581249999999994	25.3
	19.83125	22		28.243749999999995	26.8
	20.11875	21.2		27.90625	27.8
	19.80625	17.3		27.60625	21.9
	19.9875	19.1		28	25.1
	20.25	18.9		27.550000000000004	30.5
	20.650000000000002	22.5		27.0625	31.9
	20.75	23.3		27.2625	33.7
	20.0375	24.1		27.6125	30.2
	20.38125	23.4		27.01875	29.8
	20.200000000000003	23.7		27.456250000000004	31.7
	20.75625	23.8		28.84375	32.3
	21.48125	17.7		30.543749999999996	25.4
	22.33125	15.1		29.91875	16.7
	22.68125	15.8		30.3625	24.1
	22.156249999999996	16.7		29.168749999999992	28.5
	21.843750000000004	21.2		30.118749999999995	28.8
	22	20		29.512500000000006	28.2
	22.187499999999996	18.6		29.324999999999996	20.9
	22.056249999999995	18.3		31.249999999999996	29.2
Jun.	22.88125	21.4		31.075	31.7
	22.75	22.5		30.6375	32.2
	23.2375	23.6		30.48125	33.2
	23.075	24.8		30.70625	30.5
	23.187499999999996	24		29.3125	28.6
	23.375	24.2		29.668749999999992	28.8
	23.45625	23.9		30.087499999999995	28.9
	23.268749999999994	20.3		30.106250000000006	26.5
	23.493750000000002	19.8		29.912499999999998	22.3
	23.45	20.8		30.099999999999998	23.9
	22.799999999999997	21.8		30.650000000000002	28.2
	23.056249999999995	22.1		30.15625	27.7
	23.587500000000002	21.8		30.58125	31.6
	24.137499999999996	24.1		30.2875	33.1
	24.212500000000006	24.8		30.656249999999996	30.1
	24.6125	22.2		31.4625	26.3
	24.806250000000002	22.3		31.325	25.7
	25.050000000000004	23.8		31.9	29.2
	24.781250000000004	24.2		31.3375	31.1
	24.756249999999998	25.6		31.575	31
	25.05625	24.5		31.64375	26.3
	25.118750000000002	24.4		32.55	26.6
	25.131249999999998	23.9		32.4375	32
	25.1875	24.4		32.574999999999996	33.2
	25.118750000000006	25		32.75	33.6
	25.662499999999998	25.8		33.15624999999999	35.5
	25.93125	27.3		33.79375	37
	25.762500000000003	27.3		33.6375	34.7
	26.068749999999998	27.6		33.675	38.6
	26.062499999999996	28.1		33.06875000000001	37.5
Jul.	25.5	27.5		33.537499999999994	36.5
	25.84375	27.1		33.418749999999996	35.6
	25.756249999999998	27.5		33.125	37.8
	25.6625	25.6		33.1	33.9
	25.9125	24.2		33.237500000000004	26.6
	25.818749999999998	22.4		33.4375	25.4
	26.425	23.9		34.16875000000001	29.7
	26.712499999999995	24.2		34.92499999999999	28.8
	26.718749999999996	24.5		34.4	32.6
	26.706250000000004	25.9		34.825	34.9
	26.76875	27		34.88125	36.2
	26.56875	26.4		35.025000000000006	35.6
	26.66875	23.6		34.787499999999994	25.5
	26.712499999999995	23.4		34.4125	29.4
	26.518749999999997	24.1		34.24375	31.3
	26.699999999999996	24.6		35.13125	33.7
	26.71875	24.7		35.3625	33.7
	26.924999999999997	24.9		35.38125000000001	34.8
	26.987499999999997	25.9		35.76875	34.6
	26.937500000000004	24.8		35.65	34.1
	27	24.6		35.69375	34.3
	27.2	24.5		35.66875	32.3
	27.012500000000003	24.7		34.87499999999999	34.5
	26.462500000000002	25.3		34.4375	34.7
	26.31875	25.3		34.66875	33.3
	26.5375	25		34.65	31.5
	26.174999999999997		23.9	34.15625		30.5
	26.15625		22.9	33.574999999999996		24.7
	25.98125		21.5	33.93125		23.6
	25.787499999999998		21.1	33.0375		21.9
	25.493750000000002		20.7	33.368750000000006		25.8
Aug.	25.83125		20	33.4125		29.1
	25.768750000000004		22.8	33.89375		33.4
	26		24.1	34.137499999999996		34.1
	25.79375		26.1	34.09375000000001		34.6
	25.818749999999998		25.9	34.337500000000006		34.5
	25.906249999999996		26	35.11875		35
	26.00625		25.6	34.93125		34.5
	25.418749999999996		25.4	33.86875		33.6
	25.025		25.2	32.86875		33.2
	24.499999999999996		24.8	32.5125		33.3
	24.44375		24.4	32.925		32.7
	23.99375		24	31.518750000000004		31.7
	23.474999999999998		23.6	31.781250000000004		31.5
	23.4375		23.5	31.650000000000006		32.1
	23.41875		23.2	31.931250000000002		32.5
	22.975		22.7	32.01875		31.6
	22.818749999999998		22.9	31.9875		31.3
	23.25		23	31.368750000000002		31.4
	23.362500000000004		23.1	31.712500000000006		31.9
	22.937500000000007		22.7	30.981250000000003		30.6
	23.025000000000002		22.9	31.375		31.3
	22.94375		23.2	31.062500000000004		31.9
	22.64375		22.7	30.6375		30.5
	22.268749999999997		22.7	31.287499999999998		32.2
	22.731250000000003		23.2	32.075		32.4
	23.243750000000002		23	32.54375		31.6
	23.237499999999997			31.45625
	22.7125			31.01875
	22.06875			30.875000000000004
	21.868750000000002			29.950000000000003
	21.881249999999998			29.756249999999994
Sep.	21.59375			31.050000000000004
	21.981249999999996			30.943749999999994
	22.312500000000004			31.362499999999997
	21.1875			29.83125
	20.918750000000003			29.1
	20.36875			28.71875
	20.125			27.78125
	19.38125			26.73125
	19.05			26.081249999999997
	19.275000000000002			26.98125
	19.3125			27.025
	20.012500000000003			27.499999999999996
	20.6125			28.68125
	20.681250000000002			29.4
	19.893749999999997			27.974999999999998
	19.474999999999998			27.637499999999996
	19.893749999999997			28.181250000000002
	19.581249999999997			28.062500000000004
	19.249999999999996			28.656250000000004
	17.974999999999998			27.387499999999996
	17.368750000000002			25.193750000000005
	16.7375			24.431250000000002
	16.775000000000002			24.4375
	17.356249999999996			25.175000000000004
	17.80625			25.28125
	17.6875			26.468750000000004
	16.974999999999998			25.943750000000005
	16.8375			25.26875
	16.675			23.5125
	16.362499999999997			23.887499999999996
Okt.	16.118750000000002			23.4
	15.825000000000001			23.25
	15.987499999999997			23.299999999999997
	15.612499999999999			23.575
	15.237499999999997			23.637500000000003
	15.275000000000002			23.1625
	15.39375			22.349999999999998
	15.25			23.74375
	14.968750000000002			23.6625
	14.799999999999997			23.299999999999997
	14.456249999999999			22.618749999999995
	14.249999999999998			22.131249999999994
	14.45			20.54375
	14.15			22.006249999999998
	14.43125			21.275000000000002
	13.74375			20.999999999999993
	13.725			21.650000000000002
	13.7625			22.262499999999996
	13.44375			21.268750000000004
	13.7375			22.41875
	13.831249999999999			21.993750000000002
	13.837499999999999			22.412499999999998
	13.88125			21.712499999999995
	12.693750000000001			20.9625
	12.206249999999999			19.80625
	11.950000000000001			19.99375
	11.956250000000002			19.6
	11.512500000000001			18.80625
	11.125000000000002			19.04375
	11.487499999999999			18.337500000000002
	11.3625			19.925
Nov.	11.887499999999998			19.375
	11.924999999999999			18.93125
	11.8			18.393749999999997
	10.30625			17.2375
	10.443750000000001			18.61875
	10.612499999999999			18.175
	11.3125			17.974999999999998
	11.23125			17.931250000000002
	9.7875			17.68125
	8.2625			14.8625
	7.475			15.599999999999998
	7.893750000000001			15.575
	8.525000000000002			16.70625
	8.993749999999999			16.425
	8.23125			15.78125
	6.88125			13.418749999999998
	6.618750000000001			13.112500000000002
	6.55625			14.55625
	6.8375			14.40625
	6.774999999999999			14.700000000000003
	6.700000000000001			14.524999999999997
	6.924999999999998			14.40625
	6.9125000000000005			14.2875
	6.8			14.656249999999998
	7.200000000000001			14.61875
	7.18125			14.562500000000004
	5.91875			12.487499999999999
	5.55			11.831249999999999
	5.799999999999999			12.625
	5.787500000000001			13.34375
Dez.	5.387499999999999			10.237500000000002
	4.20625			10.1875
	2.96875			11.01875
	3.08125			11.08125
	4.53125			12.399999999999999
	4.775			11.89375
	4.71875			12.1625
	4.4125			12.15
	4.3687499999999995			11.874999999999998
	4.175			11.787499999999998
	3.625000000000001			11.6
	3.4812499999999997			11.143749999999997
	3.825			10.575
	3.8687500000000004			11.018750000000002
	4.35625			11.368749999999999
	3.275			11.875
	2.9066666666666667			11.506666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

39°C

Höchste Temperatur

13 Jul. 26

-3°C

Niedrigste Temperatur

21 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust33.79°C

Kältester MonatJanuar5.42°C

Nassester MonatApril13.71mm

Windigster MonatAugust17.06km/h

Changsha Einblicke in den KlimawandelErfahren Sie, wie sich Klimamuster im Laufe der Zeit entwickeln. Temperaturveränderungen, Niederschlagstrends und Extremereignisse – alles an einem Ort.

Wetter-Stadtranking weltweitEntdecken Sie in Echtzeit die heißesten und kältesten Städte der Welt anhand aktueller Temperaturdaten.

Frequently Asked Questions

1. Was ist der historisch heißeste Monat in Changsha?

August ist historisch gesehen der heißeste Monat in Changsha, mit durchschnittlichen Höchsttemperaturen von etwa 34°C. Während der stärksten Hitzewellen wurden Temperaturen von 43°C am 2010-08-05 erreicht.

2. Was ist der historisch kälteste Monat in Changsha?

Januar ist der kälteste Monat in Changsha, mit durchschnittlichen Tiefstwerten von etwa 4°C. Der Allzeit-Rekordtiefstwert von -5°C wurde am 2018-12-31 gemessen.

3. Wie hoch ist die durchschnittliche jährliche Niederschlagsmenge in Changsha über die letzten 17 Jahre?

Der durchschnittliche jährliche Niederschlag in Changsha beträgt etwa 1755.4mm, basierend auf Aufzeichnungen über 17 Jahre.

4. Wie viele Regentage gibt es in Changsha durchschnittlich pro Jahr?

Changsha verzeichnet historisch gesehen etwa 203.05 Regentage pro Jahr. Juni hat die meisten Regentage mit durchschnittlich 23 Tagen.

5. Was ist die höchste jemals in Changsha gemessene Temperatur?

Die höchste jemals in Changsha gemessene Temperatur beträgt 43°C am 2010-08-05.

6. Was ist die niedrigste jemals in Changsha gemessene Temperatur?

Die niedrigste jemals in Changsha gemessene Temperatur beträgt -5°C am 2018-12-31.

7. Wann ist die windigste Zeit des Jahres in Changsha historisch gesehen?

Changsha erlebt seine stärksten Winde während Juli. Der historische Böenrekord von 42.1 km/h wurde am 2019-11-17 gemessen.

8. Was ist die höchste und niedrigste Luftfeuchtigkeit in Changsha während eines Jahres?

Normalerweise erreicht die Luftfeuchtigkeit in Changsha im Juni etwa 82.6% und fällt im Dezember auf etwa 60.08%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

Changsha Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Changsha Wettertrend-Grafik

Jahresübersicht 2026

Saisonale Aufschlüsselung

Frequently Asked Questions

Aktuelle Blogs über das Wetter

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

Changsha Historische WetterdatenAnalysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Changsha Wettertrend-Grafik

Jahresübersicht 2026

Saisonale Aufschlüsselung

Frequently Asked Questions

Aktuelle Blogs über das Wetter

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

Changsha Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage