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

Pingliang Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-7.000000000000001	-11.5		2.7687500000000003	-3.3
	-6.643749999999999	-11.4		1.9187499999999997	-2.5
	-7.50625	-6		1.9937500000000001	-1.7
	-7.418750000000001	-9.4		1.2874999999999996	-0.9
	-7.5875	-8.5		1.21875	-1.7
	-7.8625	-10		0.24375000000000008	0.9
	-7.918750000000001	-7.4		0.9937500000000001	2.8
	-7.931250000000001	-8.1		0.7312500000000001	2.6
	-8.5875	-4.4		1.0375	1.7
	-8.1375	-6.4		0.475	1.4
	-8.825000000000001	-7.8		1.90625	2.2
	-8.19375	-4		3.01875	7.6
	-8.11875	-2.7		2.74375	8
	-7.64375	-0.6		1.1	6.2
Jan.	-7.793749999999998	-2.3		0.7375	8
	-8.125	-2.5		1.84375	2.8
	-7.793749999999999	-1.9		1.8875	8.2
	-7.137499999999999	-4.3		2.6437499999999994	-0.8
	-7.04375	-8.1		2.6687499999999997	-4.7
	-7.10625	-10.1		1.125	-5.3
	-7.737499999999999	-9.2		1.69375	-2.6
	-8.5125	-7.6		1.5375	0.7
	-9.056249999999999	-6		0.6187500000000001	4.4
	-8.712499999999999	-5.7		0.2250000000000001	3.2
	-9.3125	-2.7		1.0562500000000001	1.9
	-8.631250000000001	-5.1		0.46250000000000013	2.8
	-8.856250000000001	-4.3		0.43750000000000006	3.3
	-9.54375	-4.1		0.6687500000000001	3.7
	-9.80625	-2.4		2.0249999999999995	-0.2
	-8.781249999999998	-3.8		1.99375	-0.2
	-8.38125	-6		1.74375	0.6
	-8.268749999999999	-5.1		1.88125	3
	-7.90625	-5.9		1.8499999999999999	3
	-7.5125	-2.8		2.8437499999999996	4.2
	-6.912500000000001	-2.3		3.1312500000000005	5.6
	-6.525	-1.6		3.275	6.2
	-6.51875	-3		2.5687499999999996	4.1
	-7.062499999999999	-6.4		1.8437499999999996	1.7
	-6.98125	-6		2.2062500000000003	2.2
	-7.593750000000001	-4.7		2.66875	6.8
	-7.356249999999999	-3.5		3.26875	5.6
	-6.6625	-4.5		4.0874999999999995	5.2
	-5.9437500000000005	-2.3		4.60625	7.1
	-6.724999999999999	-0.5		4.1	14.4
	-6.83125	0.8		2.7625	11.5
Feb.	-6.856249999999999	-3.9		3.65625	1
	-6.1	-4.3		4.40625	2
	-5.825000000000001	-5.2		4.18125	4.7
	-5.7875	-3		3.35	7.6
	-6.725000000000001	-1.3		4.575	11.8
	-6.55	1.1		4.2875	17.3
	-5.61875	1.7		4.3812500000000005	11
	-4.6937500000000005	-0.6		5.687499999999999	8.8
	-4.1375	-1.1		6.831249999999999	6.3
	-3.1375000000000006	-1.7		6.625	11.1
	-3.468749999999999	-0.8		6.7562500000000005	5.9
	-2.65625	-2.4		6.906249999999999	12.7
	-2.5625	-0.5		7.324999999999999	9.8
	-2.7625000000000006	4.4		5.8187500000000005	10.3
	-3.8187499999999996	1.9		6.199999999999999	3.5
	-3.64375	-2.3		6.831249999999999	8.1
	-3.2125	-0.8		8.331249999999999	11.8
	-2.2624999999999997	0.7		7.69375	11.7
	-1.7187499999999998	0.4		7.787500000000001	10.4
	-1.9187500000000002	0.1		7.5375000000000005	8.4
	-2.1687499999999997	0.7		9.262500000000001	5.3
	-1.9750000000000003	0.7		9.943750000000003	10.5
	-1.8187499999999999	-0.2		8.975000000000001	12.6
	-1.8437499999999998	2.3		10.18125	18.7
	-1.1187500000000001	2.1		10.506250000000001	14.1
	-0.9999999999999998	1.8		12.100000000000001	10.9
	-0.6375	-1.7		12.506249999999998	3.7
	-0.3	-2.8		11.212500000000002	0.1
Mär.	-0.37499999999999983	-3.4		11.812500000000002	3.5
	0.18749999999999994	-1.2		11.51875	8
	1.2687500000000003	1.4		11.6875	6.3
	1.2874999999999999	-1.3		13.649999999999997	4.4
	1.375	-1.1		11.850000000000001	6.6
	0.09374999999999997	-0.5		11.975	12
	0.36875	2.7		11.825	11.1
	0.2562499999999999	0.4		12.087499999999999	9.3
	0.45000000000000007	3.1		12.568749999999998	11
	0.8125	3.1		11.84375	15.5
	0.7437499999999997	5.3		12.3625	15.3
	0.6624999999999999	4.7		14.312500000000002	16.3
	1.0625000000000002	5.3		14.199999999999998	14.3
	1.6874999999999998	5.6		14.631249999999998	16.1
	2.6374999999999997	3.9		14.762500000000003	12.1
	3.4124999999999996	3.1		14.493750000000002	12.5
	3.35	3.2		14.043750000000001	15.4
	2.3562499999999997	5.5		15.50625	21.4
	2.8437499999999996	8.5		14.5875	18.4
	3.3000000000000003	6.9		13.574999999999998	15.7
	2.8687499999999995	5.8		13.88125	20.7
	2.88125	8.5		14.331249999999999	21.3
	2.90625	5.9		14.200000000000001	20.3
	2.95625	7.2		16.1	19.4
	3.9125000000000005	9.7		17	19.2
	4.375	9.9		17.3875	23
	5.10625	7.6		16.9	19.7
	4.7	7.1		15.91875	15.5
	3.16875	7.7		15.40625	20.2
	3.1500000000000004	7.5		14.981250000000001	19.6
	3.5312499999999996	9		16.275	19.6
Apr.	5.025	8.2		17.837500000000002	16.1
	5.925	7.6		19.518749999999997	17.6
	5.9937499999999995	6.9		20.31875	22
	6.5375000000000005	7.9		18.91875	25.3
	6.3875	4.3		18.193749999999998	12.3
	6.3	1.8		17.425	13.1
	5.5562499999999995	2.6		16.25	5.6
	5.293749999999999	3		17.45625	17.7
	5.8125	6.1		18.381249999999998	20.5
	6.049999999999999	9.6		17.84375	22.1
	5.325	8.2		18.575000000000003	24.8
	5.925	10.4		19.337499999999995	24.6
	6.331249999999999	12.1		19.743749999999995	18.4
	6.34375	8.4		20.41875	20.1
	7.4	4.1		20.843749999999996	17.8
	7.3187500000000005	6.2		20.650000000000002	20.5
	7.76875	9.4		20.324999999999996	12.1
	7.4875	8.2		21.218750000000004	16.9
	7.56875	5.1		19.281250000000004	19.5
	7.8999999999999995	7.1		20.118750000000002	23.9
	8.168750000000001	7.5		20.1625	26.6
	7.856250000000001	12		21.21875	19.9
	8.58125	7.7		19.13125	16.5
	8.8625	6.5		19.437500000000004	21.5
	8.237499999999999	8.7		18.58125	27.2
	7.7625	12.8		19.468749999999996	28.8
	7.5625	13.7		22.15625	29.2
	7.606249999999999	12.8		22.30625	26.8
	8.725	9.8		21.84375	20.3
	8.90625	9.7		19.50625	21.1
Mai	8.26875	11		21.01875	15.1
	9.2125	11.8		22.13125	23.6
	9.1625	12.1		23.06875	20.1
	10.275	9.9		24.431250000000002	22.7
	10.54375	10.4		23.793750000000003	20.2
	10.399999999999999	8.7		23.137499999999996	24.8
	10.062499999999998	10.4		21.862499999999997	18.5
	9.375	10.9		21.643749999999997	24.8
	9.45	14.3		22.20625	17.5
	9.98125	13.6		23.00625	16.8
	10.86875	10.9		22.275	23.5
	10.218749999999998	14.5		21.156249999999996	24.8
	10.424999999999999	13.3		23.093749999999996	22
	10.19375	11.8		22.5375	21.6
	10.950000000000001	11.7		22.70625	23.8
	11.212499999999999	11.5		23.625	27.2
	11.38125	12.5		23.181250000000006	26
	11.931250000000002	14		24.081249999999997	26.6
	11.76875	14.3		23.993750000000002	29.4
	12.187500000000002	17.7		21.962500000000002	29.4
	11.3375	13.8		23.706250000000004	27.9
	12.225	12.5		25.2625	27.4
	12.812499999999996	13.1		26.000000000000004	19.7
	13.237499999999999	10.2		24.599999999999998	19.9
	13.14375	10.3		24.76875	25.2
	13.275	11.8		24.125000000000004	24.2
	11.768749999999999	11.3		25.8625	25.7
	13.13125	13.6		26.637500000000003	25
	14.081249999999995	12.5		26.4	28
	13.55	15		26.981249999999996	30.6
	13.962499999999999	15.8		26.80625	28.1
Jun.	13.8	13.8		25.94375	27.6
	13.61875	14.7		24.956249999999997	28.6
	13.7125	16.7		24.643749999999997	28
	13.6625	12.7		25.912499999999998	18.9
	14.774999999999999	12.6		26.443749999999998	28.6
	14.75625	16.1		25.3875	19.6
	14.69375	10.6		25.837499999999995	16.8
	14.606250000000001	9.5		25.95625	24.4
	14.918749999999998	12		27.01875	26.2
	15.512500000000001	13		26.20625	25.6
	14.73125	16.6		26.206249999999997	24.8
	14.575000000000003	16.2		25.325000000000003	27.6
	14.668749999999998	15.6		25.29375	31.8
	15	16.6		26.212499999999995	29.3
	15.675000000000002	17.7		27.349999999999994	30.2
	15.89375	15.9		27.437499999999996	33
	15.90625	16		27.28125	28.4
	16.243750000000002	16.5		25.9125	28.5
	15.387500000000001	14.7		26.7625	29.3
	15.600000000000003	15.2		26.73125	32.6
	15.525000000000002	16.8		27.006249999999998	34.9
	15.299999999999999	19.3		28.00625	32.9
	15.96875	18.1		28.375	33.7
	16.168750000000003	17.8		26.55	34.9
	16.46875	19.9		25.043749999999996	34.7
	16.287499999999998	18.5		27.418750000000003	29.8
	16.6125	17.6		27.125	22.6
	16.15625	16.8		26.7	22.6
	16.6125	15.9		27.375	32.8
	17.0125	17.9		27.625	25.3
Jul.	16.831250000000004	16.3		27.031249999999996	28.7
	16.424999999999997	14.6		27.99375	23.9
	16.64375	13.8		26.706250000000004	30.5
	16.493750000000002	18.5		27.86875	29.1
	16.599999999999998	16.2		26.331250000000004	33.2
	16.4875	18.8		28.1375	33.7
	16.56875	18.8		27.531249999999996	30.6
	17.16875	16.1		26.424999999999997	34.5
	16.825000000000003	17		26.4625	34.7
	16.525000000000002	17.9		25.968749999999996	32.9
	16.875000000000004	18.3		27.225	31.3
	17.593749999999996	18		28	28.8
	17.03125	18.1		27.675	27.1
	16.85625	17.5		27.312499999999996	25.5
	17.05625	18.1		28.356250000000003	27.6
	16.54375		17.2	29.150000000000002		27.5
	17.474999999999998		17.2	28.612499999999997		22.8
	17.462500000000002		17.2	28.362500000000004		27
	17.66875		16.4	28.199999999999996		20.4
	17.243750000000002		14.7	28.206249999999997		27.7
	17.362499999999997		15.5	26.5625		30.1
	16.71875		16.5	27.556250000000002		29.1
	16.881249999999998		15.5	27.956249999999997		26.8
	16.781249999999996		15.6	26.275		27.9
	16.725		16.7	26.33125		26.1
	16.893749999999997		16.6	26.787499999999994		26.6
	16.9375		16.7	27.9125		27.8
	17.156249999999996		17.1	27.587500000000002		27.5
	16.90625		16.5	27.2625		27
	16.474999999999994		16.3	27.112499999999997		27.6
	16.10625		16	27.318750000000005		27.2
Aug.	16.3375		16.1	26.95		26.8
	16.39375		16.4	26.13125		25.7
	16.387500000000003		16.3	25.193750000000005		25
	16.3625		16	24.7875		24.5
	15.750000000000002		15.4	24.293750000000003		24.8
	14.918750000000001		15.3	25.0125		24.6
	15.5		15.3	25		23.9
	15.131250000000001		14.9	23.762500000000003		23.6
	14.643749999999997		14.6	24.237499999999997		24
	14.35625		14.4	24.112499999999997		24.8
	14.656249999999998		14.4	23.487500000000004		22.9
	13.700000000000001		13.5	23.1625		23.1
	13.30625		13.2	23.05625		23.3
	13.393749999999999		13.4	22.275		22.2
	13.324999999999998		13.2	23.48125		23.2
	13.381250000000001			22.9625
	12.93125			23.39375
	13.5125			23.287499999999998
	13.24375			22.062500000000004
	12.924999999999999			22.662499999999998
	12.893749999999999			21.7875
	12.387500000000001			21.4375
	12.587499999999999			22.124999999999996
	12.45			22.599999999999998
	12.28125			22.39375
	13.1875			22.512500000000003
	12.106250000000001			21.08125
	12.15625			21.606250000000003
	12.143749999999999			22.35625
	11.737499999999999			20.775
	11.725000000000003			20.2
Sep.	11.712499999999999			20.14375
	12.24375			19.7375
	11.6875			19.293750000000003
	11.543750000000001			18.781249999999996
	11.2			19.49375
	10.4875			19.875
	9.687499999999998			18.731250000000003
	9.731250000000001			17.66875
	9.1875			18.175
	9.25625			18.64375
	9.19375			18.831249999999997
	9.39375			18.606250000000003
	9.9375			19.224999999999998
	9.637500000000001			19.306250000000002
	9.4875			19.85
	8.8125			18.5625
	8.799999999999999			18.299999999999997
	8.3125			17.962500000000002
	7.8375			16.9625
	7.724999999999999			16.76875
	7.2749999999999995			15.075
	7.243750000000001			15.631249999999998
	7.268750000000001			16.5625
	6.987500000000001			15.874999999999998
	5.81875			14.993749999999999
	5.712499999999999			14.812500000000002
	4.9375			13.843749999999998
	5.8875			13.99375
	6.16875			14.325000000000001
	5.4937499999999995			14.693749999999998
Okt.	5.2437499999999995			14.543750000000001
	5.262499999999999			14.875000000000002
	5.08125			14.293750000000001
	4.99375			15.350000000000001
	5.0375000000000005			14.1625
	4.5			14.200000000000003
	5.05625			14.687500000000002
	4.6625			13.3
	4.2562500000000005			13.9625
	3.5749999999999997			12.793750000000001
	4.14375			12.94375
	3.7625			13.05
	3.2312499999999997			13.29375
	2.73125			12.30625
	2.656249999999999			12.743750000000002
	2.5312500000000004			12.875
	3.46875			12.506249999999998
	2.9000000000000004			12.306250000000002
	2.75			12.662500000000001
	2.1687499999999997			12.356250000000001
	2.48125			11
	2.45			10.975000000000001
	1.7187499999999998			10.481250000000001
	0.66875			9.875000000000002
	0.51875			10.681249999999999
	0.35624999999999996			9.506250000000001
	0.89375			9.300000000000002
	-0.14375			8.918750000000001
	-0.2875			9.206249999999999
	-0.01874999999999999			9.549999999999997
	0.16875000000000007			9.912500000000001
Nov.	-0.3375			9.0125
	-0.9750000000000001			8.21875
	-1.2750000000000001			8.387500000000001
	-1.65625			8.53125
	-1.70625			9.175
	-1.81875			7.8687499999999995
	-1.7312500000000004			7.0062500000000005
	-2.34375			6.662500000000001
	-3.1437499999999994			4.7875
	-3.875			5.85
	-4.14375			6.462499999999999
	-3.443749999999999			6.825
	-3.10625			6.231249999999999
	-3.4312500000000004			6.3062499999999995
	-3.91875			4.7875
	-4.80625			4.16875
	-4.80625			4.737500000000001
	-4.812499999999999			5.3375
	-4.781249999999999			4.156249999999999
	-5.074999999999999			4.50625
	-4.468750000000001			4.9125
	-4.8812500000000005			3.9687500000000004
	-4.71875			4.24375
	-4.993749999999999			4.0875
	-5.28125			4.5
	-5.393750000000001			2.2312499999999997
	-6.44375			2.19375
	-6.39375			3.0875
	-6.6125			2.45
	-6.5375000000000005			1.525
Dez.	-7.6625			0.09375
	-8.712499999999999			1.3312500000000003
	-8.09375			2.43125
	-6.712499999999998			2.5937500000000004
	-6.71875			1.9687500000000002
	-7.21875			2.46875
	-7.3812500000000005			2.3687499999999995
	-7.24375			2.1187500000000004
	-7.2250000000000005			1.5999999999999999
	-7.968749999999999			1.3874999999999997
	-7.4312499999999995			1.2687499999999998
	-7.237500000000002			1.89375
	-7.46875			1.8875
	-8.312500000000002			2.0562500000000004
	-7.7875000000000005			1.1437499999999998
	-8.475			0.9062499999999999
	-8.639999999999999			1.4533333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

35°C

Höchste Temperatur

5 Jul. 26

-11°C

Niedrigste Temperatur

1 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatJuli30.18°C

Kältester MonatJanuar-5.95°C

Nassester MonatJuli3.55mm

Windigster MonatMai24.85km/h

Pingliang 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 Pingliang?

Juli ist historisch gesehen der heißeste Monat in Pingliang, mit durchschnittlichen Höchsttemperaturen von etwa 27°C. Während der stärksten Hitzewellen wurden Temperaturen von 37°C am 2022-07-08 erreicht.

2. Was ist der historisch kälteste Monat in Pingliang?

Januar ist der kälteste Monat in Pingliang, mit durchschnittlichen Tiefstwerten von etwa -8°C. Der Allzeit-Rekordtiefstwert von -25°C wurde am 2011-01-29 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Pingliang beträgt etwa 693.3mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Pingliang verzeichnet historisch gesehen etwa 144.8 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 17.6 Tagen.

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

Die höchste jemals in Pingliang gemessene Temperatur beträgt 37°C am 2022-07-08.

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

Die niedrigste jemals in Pingliang gemessene Temperatur beträgt -25°C am 2011-01-29.

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

Pingliang erlebt seine stärksten Winde während April. Der historische Böenrekord von 53.6 km/h wurde am 2026-04-03 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Pingliang im September etwa 69.02% und fällt im April auf etwa 45.6%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Pingliang 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

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

Pingliang 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

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