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

Mihara Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.9437499999999999	0.8		7.550000000000002	6.9
	1.2125	-0.6		8.925	4.4
	1.5187499999999998	-1.2		8.681250000000002	6.5
	1.5	0.1		9.125	10
	1.5187500000000005	2.8		8.3875	10.7
	2.125	1.4		8.143749999999999	8.7
	1.2374999999999998	2.6		7.756250000000001	10.3
	1.3249999999999997	0		8.04375	6
	1.18125	-0.2		7.8999999999999995	8
	0.725	2.6		7.5375000000000005	12.4
	0.19999999999999998	-0.8		7.75625	6.1
	0.9312499999999999	-1.4		7.4625	6.5
	0.8	4.1		7.312499999999998	12.2
	1.0499999999999998	1.1		8.250000000000002	8.8
Jan.	1.10625	3		8.0625	12.3
	0.8812499999999999	5.9		8.10625	14.9
	0.8625000000000002	5.1		8.118750000000002	14.2
	0.8375	3.6		8.40625	11.7
	1.2624999999999997	3.4		8.074999999999998	12
	1.7625000000000002	-0.2		9.112499999999999	10.3
	1.7125000000000004	-1.1		8.731250000000001	6.9
	1.7187500000000004	-1.5		8.6125	3.1
	1.3499999999999999	-1.2		7.64375	6
	0.09375000000000014	-0.5		6.731249999999999	6.9
	-0.15000000000000005	-0.5		7.068750000000001	6.1
	-0.11874999999999991	-1.3		7.3	6.2
	0.9687499999999999	0.4		8.149999999999999	8.4
	1.125	-0.5		8.23125	8.6
	0.7000000000000001	-0.8		7.41875	7.3
	0.90625	-1		8.04375	7.1
	0.7374999999999999	-0.6		7.95	8
	1.11875	-0.5		8.4875	8
	1.3375000000000001	-0.9		9.093750000000002	7.4
	1.2312500000000002	-1.1		8.825000000000001	8.5
	0.6249999999999999	1.7		8.118750000000002	11.5
	0.39375000000000004	4.1		7.025000000000001	13.3
	0.6437499999999999	6.2		7.556250000000001	13.3
	0.48125000000000007	1.4		8.05625	8.7
	0.19374999999999992	-3.7		7.612500000000001	2.2
	0.5687499999999999	-4.9		7.762500000000001	6.7
	1.35625	-0.2		8.09375	8.4
	0.5624999999999999	4.2		7.806250000000001	10.2
	0.9875	2.4		8.399999999999999	11.5
	1.8937500000000003	2		8.7125	12.3
	2.0375	4.7		9.60625	13.6
Feb.	2.28125	7.9		9.731250000000001	17.3
	1.0687499999999999	4.8		8.725	13
	0.8187500000000001	1.5		8.35	9.3
	0.5375	2.3		8.23125	10.9
	1.4625000000000001	-0.5		8.4125	8.3
	1.8250000000000002	3.2		10.024999999999999	12.3
	1.6187500000000001	3.9		9.356250000000001	14.1
	1.95625	5.9		10.106249999999998	16.8
	2.56875	6.2		10.55625	15.8
	1.6375000000000004	5.8		10.799999999999999	15.2
	1.9812500000000002	9.1		11.10625	10.7
	2.8625000000000003	7.5		10.5	15
	2.6312499999999996	10.2		11.412500000000001	14.7
	3.0125	5.9		12.112499999999997	13
	4.26875	3.7		11.30625	13.6
	3.3499999999999996	7		11.231250000000001	12.8
	2.25	6.5		10.2125	11.7
	2.61875	4.2		11.25	11
	4.08125	2.2		12.600000000000001	11.2
	4.0625	5		11.44375	12.5
	3.35	2.8		10.931249999999999	10.1
	3.8187499999999996	1.6		12.081249999999999	9.5
	3.5749999999999997	2.3		11.54375	10.1
	2.8375000000000004	2.6		11.037499999999998	9.5
	3.25	1.4		12.375000000000002	10.1
	3.9124999999999996	2.9		13.825000000000003	11.4
	4.7437499999999995	1.9		13.462499999999997	9
	4.06875	1.7		13	12.2
Mär.	4.281250000000001	2.6		13.549999999999999	11.5
	4.043749999999999	3.8		13.825	13
	3.5	4.6		13.64375	13.2
	4.5249999999999995	6.2		13.83125	11.9
	5.8375	6.8		14.168750000000001	14.9
	5.468750000000001	3.9		15.149999999999999	14.1
	5.106249999999999	4.1		13.225000000000001	13.1
	4.2875000000000005	5.5		13.68125	14.5
	4.58125	8.3		13.6125	16.1
	5	5.3		13.718750000000002	15.1
	5.324999999999999	9.5		13.074999999999998	13.5
	5.0875	8.5		13.79375	15.3
	4.875	6.6		14.700000000000001	17
	5.95	9.1		15.599999999999998	18.8
	6.5062500000000005	8.8		15.325	18.9
	5.887500000000001	10		15.91875	19.3
	6.3125	11.5		15.9625	18.3
	6.63125	9.7		16.006249999999998	11.6
	6.94375	7.5		15.975000000000001	14.7
	6.393750000000001	7.5		17.143749999999997	18
	6.85625	11.8		16.825000000000003	17.8
	7.500000000000001	10.7		16.637500000000003	18.3
	8.125	9.7		16.443749999999998	19.8
	6.556249999999999	5.8		15.875	15
	7.2562500000000005	3.8		16.49375	14.2
	7.168749999999999	6.4		17.45	13.1
	7.362500000000001	11.2		16.9375	18.9
	8.037500000000001	10.4		17.11875	19.7
	7.51875	11.6		16.88125	19.1
	7.61875	13		16.543750000000003	20.4
	8.0875	13.9		16.837500000000002	18.8
Apr.	8.28125	14.2		17.087500000000002	15.6
	8.231250000000001	10.8		18.556250000000002	19.8
	9.1625	9.2		18.6875	18.9
	9.075000000000001	12.6		19.35	20
	9.768749999999999	14.7		18.725	20.5
	9.23125	14.3		18.9375	21.7
	10.4	11.4		19.825	19.5
	10.1625	9.7		19.150000000000002	18.9
	9.8625	10.8		19.493750000000002	12.6
	10.55	10.4		18.662499999999998	18.2
	9.75625	8.7		19.656250000000004	18.6
	9.44375	11.5		19.575	20.2
	9.881250000000001	13.2		20.006249999999998	21.5
	10.006249999999998	12.8		18.843750000000004	21.6
	10.6125	13.5		19.3375	18
	10.762500000000001	10.7		20.2875	12.9
	11.181249999999999	11.6		20.5625	16.6
	10.63125	10.2		20.400000000000002	22.6
	10.63125	13.4		20.824999999999996	16.1
	11.262500000000001	10.6		21.318749999999998	16.6
	11.675	8.3		22.1125	19
	12.175000000000002	10.2		21.949999999999996	19.3
	12.512500000000001	12.1		20.75	22.8
	11.525	11		21.968749999999996	20
	11.268749999999999	9.2		20.65625	19.3
	11.96875	9.1		21.049999999999997	20.4
	12.725	11.5		22.19375	21.9
	12.28125	12.1		21.356249999999996	21.9
	12.706249999999999	13.7		21.868750000000006	23
	12.568750000000001	13.7		22.699999999999996	23.4
Mai	12.84375	13.1		23.187499999999996	23.9
	13.750000000000004	13.3		23.1125	24.6
	13.79375	13.5		23.7	26.1
	13.9	15.2		24.175	26.7
	14.124999999999998	15		23.375	26.4
	14.262500000000001	16.4		23.381249999999998	24
	14.125	18.8		24.318749999999998	21.1
	14.10625	15.5		24.70625	23.4
	14.1625	15.3		23.825	20.7
	14.387500000000001	17.5		24.374999999999996	23.7
	14.6625	18		25.31875	25.8
	14.906249999999998	17.3		22.84375	25.5
	14.68125	18.6		23.481250000000003	19
	14.881249999999998	19.1		24.2875	21.2
	15.13125	16		24.050000000000004	27.7
	14.95625	14.7		23.65	26.3
	15.149999999999999	17.9		24.193750000000005	27.4
	14.806249999999999	17		24.50625	26.5
	15.31875	18.5		24.525	20.2
	14.86875	17		24.975000000000005	26.1
	14.96875	16.1		25.343750000000004	24.7
	15.593749999999998	18.4		24.331249999999997	21.1
	15.8125	18.2		24.037499999999998	25.1
	16.181249999999995	18.2		24.787499999999998	19
	16.5875	16.3		24.468749999999996	21.3
	16.781249999999996	15.7		25.450000000000003	23.3
	17.16875	14.6		25.625	24.1
	17.706249999999997	14.8		24.887500000000003	25.3
	17.299999999999997	15.1		25.462500000000002	25.2
	17.36875	16.5		25.0125	25.5
	17.712500000000002	17.7		25.018750000000004	23.5
Jun.	17.78125	17.4		25.518750000000004	24.3
	17.818749999999998	17.1		26.056250000000006	24.1
	17.60625	17.6		27.04375	25.9
	18.48125	18.3		25.60625	27.7
	18.118750000000002	20.6		26.493750000000002	26.9
	18.468749999999996	21.4		26.281249999999996	23.6
	18.675	19.3		25.693749999999998	24.2
	18.462500000000002	18.3		26.01875	23.5
	18.68125	17.2		26.618750000000006	22.3
	19.075	18.4		27.425	19.5
	19.324999999999996	18.8		26.918750000000003	20.6
	19.825000000000006	17.8		25.631249999999998	20.7
	20.112499999999997	18.7		26.65	25.3
	20.0125	19.5		27.268749999999997	24.1
	20.312499999999996	18.3		27.681250000000002	27.1
	20.231250000000003	19.8		27.725	26.6
	20.7875	20.4		28.0875	22.8
	21.075	20.3		28.66875	27.4
	21.2875	18.2		28.19375	26.8
	21.63125	20		27.61875	21.4
	21.2375	21.2		27.875	23
	20.956249999999997	21.9		28.181250000000002	25.1
	21.562499999999996	22.3		28.21875	27.9
	21.55625	23.2		29	28.7
	22.037499999999998	22.7		28.612499999999997	28.9
	21.875	21.8		29.64375	29.8
	21.987499999999997	21.6		29.925000000000004	30.4
	22.006249999999998	22.8		28.7625	31.5
	22.225	24		28.85	33.2
	22.012499999999996	23.8		28.474999999999998	32.5
Jul.	21.837500000000002	23.6		29.112499999999994	29.9
	21.849999999999998	23.8		29.58125	32.4
	21.656250000000004	23.4		29.806250000000002	32.2
	22.36875	24.7		29.7375	32.4
	22.368749999999995	24.6		29.693749999999998	32.8
	22.99375	25.3		30.7	32.7
	23	24.8		30.831249999999997	32.8
	23.03125	24.9		30.999999999999996	33.7
	23.075000000000003	24.7		30.962499999999995	33.7
	23.206250000000004	24.8		31.718749999999996	35.1
	23.2875	24.3		31.5875	34.2
	23.531250000000004	24.6		31.656250000000007	35
	23.3125	24.9		31.362499999999994	34.3
	23.35625	24.8		31.312499999999996	33.7
	23.66875	23.7		31.837500000000002	31.3
	23.775000000000002	24.4		32.237500000000004	33.7
	23.93125	22.7		32.16875	34.1
	24.118750000000002	23.4		32.65	35.1
	23.86875	24.4		32.81250000000001	35.5
	24.112500000000004	25.6		32.35625	33.8
	24.181250000000002	25.7		32.41250000000001	30.6
	24.3625	25.2		32.725	33.1
	24.431250000000002	24.7		32.449999999999996	33.5
	24.150000000000002	26.3		31.96875	32.8
	23.70625		23.9	32.45000000000001		32.4
	23.75		24.4	31.5		32.2
	24.056250000000002		24.6	31.775000000000002		29.9
	23.850000000000005		21.1	31.89999999999999		31.9
	23.462499999999995		20.5	31.15625		31.4
	23.412499999999998		22.5	32.081250000000004		28.3
	24.012499999999996		22.4	31.85625		31.1
Aug.	24.181250000000002		23	31.025		30.5
	23.95		22.8	31.375		30.8
	23.4125		23	30.6625		30.8
	22.831249999999997		22.8	31.481250000000006		31.6
	23.03125		23.3	31.04375		30.7
	23.80625		23.5	30.8375		30.9
	23.743750000000002		23.8	31.637499999999996		31.6
	24.156249999999996		23.9	31.793749999999996		31.7
	23.8125		23.5	31.137500000000003		30.9
	23.537499999999998		23.2	30.71875		30.7
	23.518749999999997		23.1	30.8875		30.8
	22.818749999999998		22.5	30.64375		30.5
	22.456250000000004		22.4	30.78125		30.3
	22.800000000000004		22.6	30.2125		30.3
	22.881250000000005		22.7	30.731249999999996		30.2
	23.0125		22.8	29.893749999999994		30
	22.55		22.3	29.681249999999995		29.8
	22.25625		21.9	28.256249999999998		28.3
	21.83125		21.5	29.012499999999996		29.4
	21.75		22	29.46875		29.2
	22.30625		22.1	28.5		28.4
	21.799999999999997		21.9	29.375000000000004		29.3
	21.7125		21.5	29.325000000000003		29.7
	21.6625		21.6	29.24375		29.3
	21.375			29.06875
	20.925			28.950000000000003
	20.61875			29.3625
	20.93125			28.98125
	21.03125			28.9625
	21.137500000000003			28.906250000000004
	20.718749999999996			28.4625
Sep.	20.424999999999997			28.34375
	20.55625			27.6875
	20.90625			27.981250000000003
	20.7			28.043750000000003
	19.843750000000004			27.2875
	18.59375			25.687499999999996
	18.29375			26.568749999999998
	18.599999999999998			26.16875
	17.79375			25.44375
	17.49375			25.274999999999995
	17.56875			26.000000000000004
	18.131249999999998			26.056250000000002
	18.268749999999997			25.81875
	17.9			26.21875
	17.887500000000003			25.825
	17.331249999999997			25.40625
	17.125000000000004			25.0125
	17.18125			25.2125
	16.63125			25.2375
	16.368750000000002			24.15625
	16.587500000000002			23.031250000000004
	15.812500000000002			23.85625
	15.6375			24.0875
	15.799999999999999			23.6875
	15.7375			23.274999999999995
	16.037499999999998			24.068749999999998
	15.743749999999999			23.69375
	15.1625			22.825
	14.14375			22.587500000000006
	14.268749999999999			22.83125
Okt.	14.593750000000002			22.09375
	13.725			22.087500000000002
	13.30625			21.6625
	13.562499999999998			21.593749999999996
	13.75			21.243750000000002
	13.325			21.543750000000003
	13.14375			20.95
	13.493750000000002			21.006249999999994
	13.574999999999998			20.593749999999996
	12.84375			20.300000000000004
	11.8125			19.218749999999996
	10.943750000000001			20.075
	11.0875			19.831249999999997
	11.049999999999999			19.224999999999998
	11.33125			18.68125
	10.824999999999998			18.743750000000002
	10.599999999999998			18.925
	10.70625			18.868750000000002
	11.075000000000001			18.98125
	11.14375			18.66875
	9.9			18.54375
	9.537500000000001			18.74375
	10.7			19.45
	10.575000000000001			18.593750000000004
	11.375			18.0125
	10.3625			17.362499999999997
	9.51875			16.33125
	9.0625			16.131249999999998
	9.637500000000001			16.5875
	9.112499999999999			16.48125
	8.974999999999998			16.749999999999996
Nov.	8.525			16.0875
	8.068750000000001			16.043750000000003
	8.1125			15.9125
	8.768749999999999			15.337499999999999
	7.550000000000001			14.975000000000001
	7.437499999999999			15.481250000000001
	7.006249999999999			15.4875
	7.65625			14.61875
	7.98125			15.38125
	7.1875			14.337499999999999
	6.81875			13.500000000000002
	6.41875			13.893750000000002
	6.3875			13.974999999999996
	6.712500000000001			13.16875
	6.15			13.325000000000003
	6.1			13.918750000000001
	5.699999999999999			13.09375
	4.49375			11.93125
	4.8812500000000005			12.28125
	5.01875			12.187500000000002
	4.512499999999999			11.543749999999998
	4.9312499999999995			11.5375
	4.18125			11.46875
	3.6749999999999994			10.6625
	3.7312499999999997			10.674999999999999
	4.41875			11.993749999999999
	4.70625			11.243749999999999
	4.21875			10.049999999999999
	3.95625			9.89375
	3.46875			10.66875
Dez.	3.3			10.35625
	3.175			9.3625
	2.275			7.43125
	1.9124999999999996			8.05
	2.25625			9.200000000000001
	2.7750000000000004			9.375
	2.7937499999999997			9.3
	3.0249999999999995			9.4875
	3.5062500000000005			9.475
	2.34375			9.506250000000001
	1.825			8.03125
	1.7312499999999997			7.606249999999999
	1.7875			8.118749999999999
	1.5750000000000002			9.049999999999997
	1.9			8.50625
	1.8375			9.15625
	1.4933333333333332			8.686666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

36°C

Höchste Temperatur

2 Aug. 26

-5°C

Niedrigste Temperatur

9 Feb. 26

Saisonale Aufschlüsselung

Heißester MonatAugust33.49°C

Kältester MonatJanuar0.76°C

Nassester MonatJuni13.02mm

Windigster MonatJanuar21.27km/h

Mihara 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 Mihara?

August ist historisch gesehen der heißeste Monat in Mihara, mit durchschnittlichen Höchsttemperaturen von etwa 32°C. Während der stärksten Hitzewellen wurden Temperaturen von 37°C am 2018-07-24 erreicht.

2. Was ist der historisch kälteste Monat in Mihara?

Januar ist der kälteste Monat in Mihara, mit durchschnittlichen Tiefstwerten von etwa 1°C. Der Allzeit-Rekordtiefstwert von -6°C wurde am 2021-01-07 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Mihara beträgt etwa 1442.08mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Mihara verzeichnet historisch gesehen etwa 173.4 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 20.8 Tagen.

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

Die höchste jemals in Mihara gemessene Temperatur beträgt 37°C am 2018-07-24.

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

Die niedrigste jemals in Mihara gemessene Temperatur beträgt -6°C am 2021-01-07.

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

Mihara erlebt seine stärksten Winde während Januar. Der historische Böenrekord von 50.8 km/h wurde am 2012-04-03 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Mihara im Juli etwa 80.2% und fällt im März auf etwa 70.4%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Mihara 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

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

Mihara 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

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