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

Tangshan Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-6.931250000000001	-8.6		1.79375	-1.4
	-6.95625	-9.3		1.2	1.1
	-6.643749999999998	-5.6		1.075	3.9
	-7.081249999999999	-2.7		1.40625	4.2
	-6.9875	-4.3		1.2687500000000003	3.9
	-7.512499999999999	-5		1.1312499999999999	5.7
	-7.043749999999999	-3.2		0.6812500000000001	3.1
	-6.9312499999999995	-5.7		0.6312500000000002	4.5
	-7.15625	-2.7		0.5125	5.2
	-7.20625	-5.4		0.79375	0.1
	-7.106249999999999	-9.4		0.60625	-1.2
	-6.8875	-7.3		1.0687499999999999	5.7
	-6.362500000000001	-5.6		1.8187499999999999	0.2
	-6.53125	-4.8		1.4624999999999997	1.6
Jan.	-7.2125	-3.5		0.55	7.3
	-6.9875	-6.5		0.975	2.9
	-6.43125	-8.7		1.88125	-3.5
	-6.275	-9.4		2.1187500000000004	-3.6
	-5.825	-8.7		1.7437499999999997	-4.4
	-6.718750000000001	-13.1		0.7874999999999999	-5.8
	-6.8375	-12.8		0.5812499999999998	-3.5
	-7.299999999999999	-10.7		0.11250000000000007	-1.3
	-8.51875	-8.8		-0.30000000000000016	0.8
	-7.812499999999999	-7.6		0.75625	1.7
	-7.175	-8		1.0625	-1.4
	-7.0562499999999995	-6.9		1.69375	2.4
	-6.23125	-6		1.7249999999999999	1.1
	-6.8	-6.5		1.4374999999999998	0.3
	-6.7437499999999995	-7.9		1.6624999999999996	-0.5
	-6.499999999999999	-4.8		1.7750000000000001	1.2
	-6.075	-5.3		2.45625	2.6
	-6.099999999999999	-4.9		1.6687499999999997	5.6
	-6.3625	-6.3		2.125	4
	-6.106249999999999	-3.1		2.66875	7.8
	-6.05625	-0.1		2.2125	10.5
	-5.525	-6.7		2.2312499999999997	2.1
	-6.5062500000000005	-11.7		2.9749999999999996	-5.2
	-6.8625	-9.9		1.0125000000000002	-1.8
	-6.7125	-9.4		2.55	2.6
	-5.95625	-4.6		3.1374999999999997	6.8
	-5.3812500000000005	-0.8		4.125	9.1
	-4.54375	-2.1		5.237500000000001	8.4
	-3.98125	-0.4		4.9937499999999995	11.3
	-3.8562499999999997	2		5.5249999999999995	15.3
	-4.41875	2.6		3.9437500000000005	14.9
Feb.	-5.3062499999999995	-0.5		3.8562499999999997	4.5
	-5.143749999999999	-4.6		4.0687500000000005	6.4
	-4.48125	-3.9		4.4437500000000005	9.8
	-3.70625	-0.3		5.3062499999999995	8.9
	-3.5124999999999997	-1.3		6.643750000000001	13.6
	-3.7500000000000004	2.4		5.88125	16.4
	-3.5999999999999996	4		6.6187499999999995	17.8
	-3.35625	-1.6		6.243750000000001	5.7
	-3.4250000000000003	-4.8		7.0625	4.2
	-2.79375	-2.5		7.03125	6.5
	-2.4875	0.1		7.45	12.8
	-2.4499999999999997	2.3		8.53125	6.7
	-1.73125	-0.6		8.66875	6.9
	-1.1812500000000001	-1		8.64375	4
	-1.9374999999999998	-0.3		7.1625000000000005	6.1
	-2.3499999999999996	1.8		9.16875	6.4
	-0.85	-0.2		10.175	11.5
	-0.71875	-2.6		10.625000000000002	3.5
	-1.4687500000000004	-2.4		9.125	1.3
	-1.5125	-4.3		8.4625	3.5
	-1.4624999999999997	-3.2		10.643749999999999	7.3
	-0.8	-0.2		10.59375	12.1
	-0.4375000000000001	0.9		10.85	10.5
	-0.23750000000000032	1.6		12.23125	12.5
	1.0875000000000001	3.6		12.537500000000001	13.5
	0.5812499999999999	1.7		11.174999999999999	13.5
	0.50625	2.4		13.1625	13.8
	0.48749999999999993	2.4		13.000000000000002	10.6
Mär.	0.96875	1.3		12.893749999999999	13.9
	1.15625	3.5		12.656250000000002	11.5
	1.4625000000000001	2.6		13.10625	13.4
	1.85	2		13.4125	10.5
	2.1125000000000003	2		14.65	15.4
	2.825	3.9		13.293750000000001	12.4
	1.8124999999999998	2.5		15.2375	18.1
	2.925	11.3		15.168750000000001	20.9
	3.1875	7.9		15.6375	17.2
	3.3625000000000003	7.8		14.581250000000002	20.5
	2.91875	10.6		15.7	24.5
	3.5000000000000004	10.5		16.875	24
	4.406249999999999	9.9		16.7125	19.6
	4.26875	8.6		16.812499999999996	21.6
	4.1375	10.6		16.65	21.4
	5.85625	8.4		17.412499999999998	16.6
	5.437500000000001	7		17.86875	17.8
	5.725	6.8		17.5625	16.5
	6.081250000000001	5		17.34375	20.9
	5.093749999999999	8.9		17.35	22.6
	6.1499999999999995	5.5		19.03125	15.6
	5.999999999999999	6.2		16.95	17.6
	5.3	5		17.312499999999996	16.6
	5.375000000000001	3.4		18.875000000000004	14.9
	6.24375	5.1		19.793750000000003	22.2
	7.40625	7.5		19.4	9.9
	6.8687499999999995	7.1		20.250000000000004	24.8
	8.10625	10.6		19.0375	20.9
	6.78125	9.2		18.893749999999997	25.5
	7.5875	11.4		19.4125	18
	7.8625	11		22.45625	22.2
Apr.	8.96875	10.7		22.474999999999998	25
	9.56875	13.5		21.318749999999998	22.9
	9.25	11.7		20.974999999999998	25
	9.40625	13.9		21.587500000000002	30.2
	9.4125	10.2		21.9	26.4
	9.59375	5.1		21.40625	22.7
	10.099999999999998	10.2		20.0375	25.7
	8.85	11.4		20.218749999999996	22.2
	10	10.3		22	25.8
	9.48125	13.5		21.450000000000003	28.2
	9.60625	15.8		22.687500000000004	28.6
	10.60625	12.9		22.237500000000004	20.1
	10.424999999999999	11.2		21.656249999999996	22.7
	10.40625	9.8		21.762500000000003	20.6
	10.962499999999999	10.8		24.299999999999997	24.7
	11.956249999999999	12.5		23.76875	28.3
	11.925000000000002	15.1		26.15	27.3
	12.900000000000002	11.5		26.425	24.2
	12.899999999999999	11.1		26.275	20.6
	13.256250000000001	9		24.912499999999998	26.3
	13.49375	14.6		24.737500000000004	32.4
	12.450000000000001	15		25.0375	27
	12.537499999999998	12.8		25.875	23.4
	12.999999999999998	12.4		24.412500000000005	27
	11.80625	15		23.01875	31.4
	12.562499999999998	15.9		24.7625	31.4
	13.287500000000001	17.3		25.8375	29.5
	13.187499999999998	13.9		25.699999999999996	29.2
	13.437500000000002	17.4		25.924999999999994	34.6
	13.6875	18.5		26.981249999999996	34.1
Mai	14.456249999999999	16.2		26.450000000000006	30.7
	14.549999999999999	15.8		27.518750000000004	27.3
	14.95625	17.7		26.90625	18.8
	15.306249999999997	15.1		28.13125	23
	15.768750000000002	14.9		28.84375	24.3
	16.3	15.3		27.9375	23.4
	16.0875	14.6		28.2875	28
	15.475	14.7		28.368750000000002	18.3
	15.68125	15.3		30.137500000000003	26.7
	16.681250000000002	17.2		28.925	29.7
	16.543750000000003	15.6		28.906249999999996	20.3
	16.25625	16.2		28.368750000000002	26.4
	16.14375	16.7		29.125	28.3
	17.431250000000002	18.7		30.287500000000005	28.8
	17.26875	17.9		30.425000000000004	31.9
	17.568750000000005	19.4		30.056250000000002	35.4
	17.2375	22.4		30.7	33
	17.81875	21.1		29.93125	35.4
	17.4625	22.3		29.60625	36.4
	17.5	17.6		31.012499999999996	28.6
	17.974999999999998	15.3		30.050000000000004	26.5
	18.412499999999994	14.2		32.55	27
	18.7875	12.5		30.04375	18.5
	18.056250000000002	11.6		30.762499999999996	26.3
	18.318749999999998	15.5		30.9	29.4
	18.668749999999996	17.3		30.868750000000002	24
	18.556249999999995	16		28.96875	27.7
	18.0375	17.4		29.856249999999996	29.9
	18.531250000000004	20.1		30.7375	33.8
	18.86875	19.5		30.675	28.3
	19.29375	18.9		31.312500000000004	26.7
Jun.	19.66875	19.2		30.618749999999995	28.9
	19.624999999999996	20.3		31.087500000000006	29.4
	20.5	19		32.5	30.8
	20.875	21.7		33.05625	32.2
	20.612499999999994	21		30.924999999999997	26
	20.25	19.7		32.89375	27.4
	21.200000000000003	17.9		33.075	27.9
	21.175000000000004	18.4		32.199999999999996	30
	21.29375	18.8		32.45625	31.6
	21.306250000000002	19.2		31.9375	28.5
	20.799999999999997	17.9		32.21875	29.6
	20.825	20.2		31.1375	32.3
	21.1125	20.8		32.28125	34.5
	21.8625	21.2		32.625	32.2
	21.456249999999997	20.5		32.25625	27.7
	21.281249999999996	19.9		31.46875	25.5
	21.443750000000005	20.5		32.0875	26.8
	21.874999999999996	20.7		31.8375	31
	21.656250000000004	21.6		31.743750000000002	35.2
	21.79375	24.1		32.56875	34.8
	22.343749999999996	21.3		32.893750000000004	32
	22.01875	20.9		31.462500000000002	30.9
	21.918750000000003	21.5		32.025000000000006	32
	22.075	20.7		32.91875	32.1
	22.2125	21.9		32.09375	31.2
	22.206249999999997	22.9		31.51875	27.6
	22.149999999999995	23.1		32.375	30.7
	22.7125	24.5		31.812499999999996	32.4
	22.743750000000002	24.1		32.0875	27.8
	22.89375	22.4		33.0375	32.7
Jul.	22.83125	23.3		31.868750000000002	33.7
	22.41875	24.1		31.787500000000005	31.1
	22.024999999999995	20.9		32.1625	26.6
	22.3875	20.7		32.84375	30.8
	22.8	20.9		32.15625	31.7
	22.893749999999994	22.1		31.437499999999996	32.5
	22.299999999999997	20.7		32.21875	30.9
	23.05625	22.8		31.993749999999995	29.3
	22.99375	21.4		32.49375	30
	23.025	21.7		32.681250000000006	31.5
	23.443749999999998	22.4		33.23125000000001	32.7
	23.36875	23.4		32.53750000000001	31.1
	23.118750000000006	23.2		31.425	32.2
	23.206250000000004	24.9		32.05	34.8
	23.418750000000006	25		31.887500000000003	33.8
	23	26.3		31.699999999999996	32.8
	22.8875	26		32.5625	34.8
	23.125	26		31.65625	35.1
	23.181250000000002	26.1		31.33125	35.1
	23.518749999999997	27		32.4875	35.9
	23.79375	24.9		32.137499999999996	36.1
	23.531249999999993	24.6		31.41875000000001	35.3
	22.762499999999996	26.4		31.75625	35.5
	22.843749999999996	26.1		31.643749999999997	33.2
	22.4125	20.8		30.53125	28.6
	22.168750000000003	17.9		31.156249999999996	29.2
	22.300000000000004	19.2		32.01875	32.2
	22.76875	23.1		31.343750000000004	32.6
	22.575000000000003	22.6		31.124999999999996	25.3
	22.36875	22.1		30.35625	27.1
	22.225000000000005		20.2	30.400000000000002		28.9
Aug.	21.787499999999998		21	31.243750000000002		30
	21.425		20.7	30.512500000000003		29.6
	21.11875		21.4	30.974999999999998		32.3
	21.61875		22.5	30.143749999999997		30.8
	21.9		21.2	28.98125		32.7
	20.981250000000003		22.2	28.762499999999996		33.8
	20.90625		23.4	29.456249999999997		32.3
	20.775		20.8	29.237499999999997		29.3
	20.23125		20	29.8125		29.7
	20.09375		20.2	28.493750000000002		28.8
	19.4875		19.3	29.349999999999998		28.8
	19.50625		19.5	28.993750000000002		28.6
	19.125		19.1	27.818749999999998		28
	19.062499999999996		18.9	27.724999999999998		28.1
	18.687500000000004		18.8	28.575000000000003		28.4
	19.118750000000002		19	28.393749999999994		28.4
	19.381249999999998		19.3	28.631250000000005		28.5
	19.14375		18.9	28.73125		28.3
	19.137500000000003		18.6	28.537500000000005		28.1
	18.893749999999997		18.6	28.281249999999996		28.2
	18.53125		18.7	28.20625		28.1
	18.35625		18.5	27.54375		27.5
	17.93125		17.8	28.099999999999998		27.9
	17.95		17.9	28.81875		27.5
	18.537499999999994		18.2	27.999999999999996		28.3
	18.16875		18	27.775		28
	18.118750000000002		17.7	27.84375		26.9
	17.7375		17.5	27.34375		26.8
	17.61875		17.2	26.681249999999995		27.2
	17.4875		17.3	27.450000000000003		27.5
	17.781249999999996			27.95
Sep.	16.9625			27.00625
	16.412499999999998			26.343750000000004
	15.912500000000001			25.806250000000002
	15.6625			25.931249999999995
	15.387499999999998			24.806250000000002
	15.243749999999999			26.131249999999998
	14.868749999999999			25.962499999999995
	14.999999999999998			25.787499999999998
	14.44375			24.58125
	14.668750000000001			24.787499999999998
	14.8875			25.525
	15.081249999999999			25.73125
	15.331249999999999			25.18125
	14.6875			24.412499999999998
	14.068749999999998			24.31875
	13.55625			23.862499999999997
	13.418750000000001			24.193750000000005
	12.956249999999999			22.70625
	12.350000000000001			22.443749999999998
	11.56875			22.2
	11.49375			21.743750000000002
	11.668750000000001			21.38125
	11.63125			22.05625
	11.6125			20.912499999999998
	11.018749999999997			20.075
	10.39375			19.606250000000003
	9.39375			20.231250000000003
	9.762500000000001			20.181249999999995
	10.06875			19.849999999999998
	10.1125			19.825
Okt.	9.9625			20.387500000000003
	9.2			18.781249999999996
	8.54375			18.38125
	8.4375			18.181249999999995
	8.41875			18.35625
	8.35			18.318749999999998
	7.9875			17.5375
	8			17.499999999999996
	7.956250000000001			17.23125
	7.156250000000001			17.66875
	7.34375			18.03125
	7.29375			16.80625
	6.906249999999999			16.66875
	7.137499999999999			16.456249999999997
	6.74375			16.6125
	6.468749999999999			16.575
	6.48125			16.7375
	6.581250000000001			15.981250000000001
	6.074999999999999			15.8375
	5.93125			15.318749999999998
	5.3			16.025
	5.518750000000001			14.600000000000003
	4.8812500000000005			13.443750000000001
	3.1187500000000004			12.249999999999998
	3.54375			12.718750000000002
	2.7625			12.7375
	3.06875			12.29375
	3.6999999999999997			12.293750000000001
	3.0250000000000004			12.587499999999999
	2.14375			11.587499999999999
	2.0562500000000004			11.6
Nov.	1.825			10.924999999999999
	1.61875			10.4125
	1.83125			10.325
	0.8937499999999998			9.406250000000002
	0.7312499999999998			9.799999999999997
	0.7			9.55625
	0.3874999999999999			9.3125
	-0.16249999999999998			8.51875
	-1.4000000000000001			7.393750000000001
	-2.2375			5.8687499999999995
	-2.3875000000000006			6.506249999999999
	-2.5312499999999996			5.8
	-2.4250000000000003			5.437499999999999
	-2.41875			5.78125
	-2.9499999999999997			4.874999999999999
	-3.7125000000000004			4.9
	-3.6937499999999996			4.1625000000000005
	-3.375			4.7875000000000005
	-3.743750000000001			4.781249999999999
	-3.41875			5.15625
	-3.3375000000000004			5.45
	-3.275			4.5
	-3.5812500000000003			4.23125
	-3.6562500000000004			4.075
	-3.825			4.00625
	-4.362499999999999			3.65625
	-4.550000000000001			2.3125
	-5.36875			2.08125
	-5.175			2.05625
	-5.2250000000000005			1.6749999999999998
Dez.	-5.9			0.6499999999999999
	-5.95			0.6187499999999999
	-6.199999999999999			1.0312500000000004
	-5.75			1.9874999999999996
	-6.406249999999999			1.9374999999999998
	-6.2875			2.187500000000001
	-5.4750000000000005			2.5875000000000004
	-5.124999999999999			2.868750000000001
	-6.08125			1.3749999999999998
	-6.825			0.31875
	-6.956250000000001			0.7750000000000001
	-6.925000000000001			0.8187500000000001
	-6.731249999999999			1.05625
	-6.5062500000000005			1.4937499999999997
	-5.90625			1.7
	-7.09375			0.5624999999999999
	-7.6800000000000015			0.5333333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

36°C

Höchste Temperatur

2 Jun. 26

-13°C

Niedrigste Temperatur

20 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust32.4°C

Kältester MonatJanuar-6.93°C

Nassester MonatJuni5.85mm

Windigster MonatApril25.09km/h

Tangshan 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 Tangshan?

Juli ist historisch gesehen der heißeste Monat in Tangshan, mit durchschnittlichen Höchsttemperaturen von etwa 32°C. Während der stärksten Hitzewellen wurden Temperaturen von 41°C am 2023-06-16 erreicht.

2. Was ist der historisch kälteste Monat in Tangshan?

Januar ist der kälteste Monat in Tangshan, mit durchschnittlichen Tiefstwerten von etwa -7°C. Der Allzeit-Rekordtiefstwert von -19°C wurde am 2021-01-07 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Tangshan beträgt etwa 695.9mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Tangshan verzeichnet historisch gesehen etwa 105.6 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 20.05 Tagen.

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

Die höchste jemals in Tangshan gemessene Temperatur beträgt 41°C am 2023-06-16.

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

Die niedrigste jemals in Tangshan gemessene Temperatur beträgt -19°C am 2021-01-07.

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

Tangshan erlebt seine stärksten Winde während April. Der historische Böenrekord von 46 km/h wurde am 2013-03-09 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Tangshan im August etwa 73.04% und fällt im März auf etwa 36.3%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Tangshan 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

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

Tangshan 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

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