Giessen ऐतिहासिक मौसम रिकॉर्ड
सबसे गर्म, सबसे ठंडे, सबसे तेज़ हवा वाले और सबसे गीले दिनों का विश्लेषण करें

Giessen मौसम प्रवृत्ति ग्राफ

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.34375	0.3		5.449999999999999	1.7
	0.63125	-2.5		4.925	1
	1.0312499999999998	-3.5		5.1	0.2
	0.90625	-3.3		4.40625	0.3
	0.1937499999999998	-7.8		4.2375	-1.1
	0.4062500000000001	-8.5		4.4875	-1.8
	0.16250000000000003	-9.6		4.33125	-3.2
	0.6625000000000001	-5		4.41875	1.1
	0.175	-1.3		4.43125	3.8
	-0.525	-5.9		3.88125	0.6
	-1.0750000000000002	-9.3		3.5437500000000006	-2.3
	-0.2687500000000001	-5		3.825	3
	-0.08749999999999997	-0.2		4.25625	3.6
	-0.36250000000000004	-0.3		4.175000000000001	4.3
जन.	-0.9500000000000001	2.8		3.9125000000000005	6.5
	-1.0937500000000002	1.7		3.2750000000000004	7
	-1.7624999999999997	1.3		3	4.5
	-2.39375	-1.1		2.86875	4.3
	-2.6187499999999995	-1.8		2.1125000000000003	4.4
	-3.1875	-3.1		1.8937500000000003	4.1
	-3.0187500000000003	-4.1		2.5624999999999996	3.4
	-2.350000000000001	-3.1		2.5	3.5
	-1.6312499999999999	-1.6		2.59375	3.6
	-1.625	-3		3.3125000000000004	3.6
	-1.3749999999999998	-3		3.0687499999999996	2.8
	-1.7812500000000002	-1		3.125	1
	-1.2375000000000003	-3.7		3.81875	3.2
	-0.48749999999999993	-0.1		4.26875	1.3
	-0.4875000000000001	-0.8		4.387500000000001	1.8
	-0.7187500000000001	-2.8		4.6	1.7
	-0.9750000000000001	0.1		3.925	2.7
	-0.9187500000000002	-1.3		3.93125	3.4
	-0.6500000000000002	-1.3		4.7625	1.9
	-0.006249999999999756	-3.7		4.8062499999999995	1.3
	-0.4000000000000003	-2		4.425	2.7
	-0.9312499999999995	-0.8		4.4624999999999995	4.1
	-1.125	-2.1		4.1875	4.6
	-2.5812500000000003	0		3.6875	7.8
	-2.625	-0.1		3.58125	5.6
	-2.3	-1.4		3.85625	5.4
	-2.4250000000000007	-1.7		3.6625000000000005	7.2
	-1.8562499999999995	3		3.5	10
	-2.5562500000000012	3.9		3.4000000000000004	9
	-2.575	2.3		4.1499999999999995	6.6
	-1.6937499999999996	-2.5		5.04375	2.2
फर.	-0.4062499999999999	-3.2		5.7625	2.2
	0.0500000000000001	0.5		7.075	4.2
	0.1499999999999999	-0.1		6.956250000000001	4.5
	0.2875000000000001	-2.7		6.4312499999999995	3
	0.13125000000000014	0.4		5.825	1.3
	-0.11249999999999982	-9		6.79375	3.3
	0.7625000000000001	3		7.3187500000000005	8.5
	0.6937499999999999	8.9		7.28125	11
	1.13125	6.9		7.025000000000001	9.9
	0.40624999999999994	4.9		7.275000000000001	8.4
	0.6000000000000001	5.2		7.58125	13.5
	0.09999999999999999	4.8		6.787499999999999	16.4
	-0.41249999999999987	5.9		6.53125	16.4
	-0.36250000000000004	6.6		6.725	13.2
	-0.4875000000000001	1.4		7.2875	11.9
	-0.3750000000000001	1.8		7.3500000000000005	12.6
	0.2500000000000001	2.7		8.275	14.8
	0.16250000000000003	3.8		8.51875	13.9
	-0.075	3.2		7.65625	14.4
	-0.2437500000000001	3.2		7.8	15.2
	-0.13749999999999993	4		8.0375	16
	-0.32500000000000007	3.7		8.30625	15.2
	0.59375	3.8		9.73125	15.7
	0.6624999999999999	5.1		9.84375	16.3
	0.69375	5.4		9.175	11.4
	1.275	2.4		9.037500000000001	11.7
	1.3437500000000002	5.1		9.031250000000002	11.6
	1.39375	2.9		8.975	8
मार्च	1.01875	-0.2		9.125	6.5
	1.3375000000000001	0.6		10.156249999999998	9.8
	1.4437499999999999	0.5		9.46875	6
	1.2499999999999998	-1		10.39375	12.4
	1.5812499999999996	0.8		10.787499999999998	13.5
	1.6125000000000003	2		11.325000000000001	11.7
	1.88125	2		11.45	11.3
	1.5125	1.5		10.612499999999999	13.9
	2.175	1.6		11.806249999999999	15
	2.21875	3.1		11.706250000000002	14.9
	1.50625	1.7		11.81875	9.6
	2.0249999999999995	-2.4		10.45	5.7
	1.4	-2.7		11.456249999999999	7.6
	2.35625	-1.5		13.118749999999999	3.3
	3.4625	-3.5		12.931250000000002	7.1
	3.3937500000000003	2.6		12.86875	7.4
	3.7812500000000004	1.5		12.368749999999999	8.3
	3.18125	-1.7		11.343749999999996	10.7
	2.03125	-1.3		11.637500000000001	13.4
	2.7312499999999997	3.8		12.181250000000002	12.6
	3.18125	7.9		11.931249999999999	14.5
	3.01875	7.1		11.574999999999998	15.6
	2.65	1.6		12.537500000000001	13.8
	3.4125000000000005	0.8		14.23125	15.1
	4.05625	0.4		13.825	16.7
	3.6312500000000005	3.2		14.918750000000001	16.5
	4.2124999999999995	4.4		14.26875	12.4
	4.687500000000001	1.5		14.375000000000004	17.4
	3.7437499999999995	5.7		14.04375	12.8
	4.825000000000001	5.3		13.6375	8.4
	3.7312500000000006	5		14.456249999999999	15.2
अप्रै.	4.075000000000001	2.4		14.525	16.5
	4.456250000000001	8.4		14.525000000000002	16.9
	4.0875	6		13.94375	19.1
	3.9499999999999997	10.1		14.075	20.5
	4.13125	4.3		15.13125	15
	4.7437499999999995	2		15.65625	11
	4.6375	1.4		16.275000000000002	13.3
	4.75625	-0.6		16.0375	15.1
	5.062500000000001	1.4		16.10625	19.5
	4.84375	0.5		16.18125	19.1
	5.543749999999999	1.5		15.48125	19.2
	4.737500000000001	1.8		13.95625	14.5
	4.199999999999999	1.9		13.612499999999999	16.8
	4.725	2.8		15.987499999999999	17.4
	6.20625	2		17.006249999999998	15.8
	6.512499999999999	0.1		16.375000000000004	16.4
	6.387500000000001	2.3		16.56875	20.4
	6.362500000000001	5.7		16.95	23.9
	6.1499999999999995	10.4		15.750000000000002	22.4
	5.74375	7.7		15.031249999999998	21.2
	5.1000000000000005	11.6		15.90625	19.6
	5.3187500000000005	9.2		16.18125	14.7
	6.65	7.3		16.59375	13.8
	6.699999999999999	1.4		17.2125	16.2
	7.943749999999999	3		18.625	19.3
	8.218749999999998	5.4		18.65	20.9
	8.443749999999998	3.7		18.9625	11.2
	8.4625	1.5		18.087500000000002	11.7
	6.768750000000001	3.6		17.09375	11.3
	6.968750000000001	2.5		17.45	10.9
मई	6.55625	1.4		16.775000000000002	13.4
	6.581250000000001	1.1		16.80625	14.1
	7.08125	1.6		16.724999999999998	15.2
	7.0625	3.6		17.962500000000002	14.4
	7.793749999999999	4		18.681250000000002	15.4
	8.399999999999999	8.4		18.875	19.2
	9.325	6.8		19.812500000000004	20.3
	9.6125	8.6		20.175	24.5
	9.63125	11		19.412499999999998	28.4
	8.63125	13.5		18.36875	29.6
	8.587500000000002	10.6		18.60625	26.8
	8.88125	12.6		18.70625	28.6
	8.743749999999999	11.4		18.893749999999997	26.2
	9.175	7.2		19.9625	22.7
	9.1	8		19.150000000000002	28.9
	9.587499999999999	13.6		20.275	28.1
	9.6	14.7		20.475	23.4
	9.75625	11.6		19.91875	22.2
	9.78125	10.7		20.993750000000002	24
	10.693750000000001	9.1		22.0625	19.9
	10.893750000000002	11.6		22.093749999999996	17
	11.018749999999999	8.1		22.224999999999998	18.7
	11.1875	6.9		21.18125	22.1
	10.793749999999998	8		21.481249999999992	20.9
	11.249999999999998	8		21.900000000000002	23
	11.14375	7.8		22.487499999999997	20
	11.56875	5.9		22.28125	15.7
	11.61875	4.8		21.85625	18.1
	11.200000000000001	10.1		21.150000000000002	17.1
	10.325000000000001	9		21.325	21.7
	10.6625	6.6		22.049999999999997	18.2
जून	11.218749999999998	4.8		21.7375	18.6
	11.64375	8.2		21.375	23
	11.200000000000003	11.7		22.58125	26.4
	12.975000000000001	14.2		24.00625	31.3
	12.925000000000002	16.3		23.35625	34.4
	12.606250000000001	16.2		22.18125	33.4
	11.537499999999998	17.7		22.18125	33.2
	12.131249999999998	15.1		22.950000000000003	31.9
	12.0375	15.9		21.65	32.1
	11.53125	16.5		22.6375	33.2
	12.7	18.3		23.443749999999998	34.6
	12.8625	18.4		23.768749999999997	37.6
	12.600000000000001	19.6		23.868750000000002	38.9
	12.6875	18.3		24.1375	34.3
	14.0625	17.8		24.44375	27.7
	13.174999999999997	15.2		24.399999999999995	28.5
	12.706249999999999	13.4		22.78125	26.5
	12.93125	11		23.70625	27.9
	12.64375	7.8		23.299999999999997	24.3
	12.6375	8.2		24.187500000000004	26.5
	13.20625	13.7		24.56875	22.8
	13.637499999999998	12.6		23.918750000000003	28.1
	12.58125	15.5		23.606250000000003	29.3
	11.700000000000001	15.2		23.062499999999996	23.5
	12.7375	11.5		23.2125	27.6
	12.731250000000001	11.9		24.25625	29.7
	13.562499999999998	12.8		24.24375	30.1
	13.456249999999999	13.1		23.94375	31.2
	13.012500000000001	13.9		22.49375	32.1
	12.762500000000001	15.1		22.80625	31.4
जुल.	12.70625	12.7		22.900000000000002	27.8
	12.237500000000004	12		23.656249999999996	30.3
	13.175	15.2		24.175	27.6
	13.46875	12.1		25.26875	24.7
	13.862499999999999	11		26.781249999999996	21.6
	14.700000000000001	6		25.9875	22.6
	14.556249999999999	7.4		24.9125	23.7
	14.48125	8.5		24.775000000000002	20.9
	14.000000000000002	7.6		24.95	23.1
	14.112499999999999	7.8		24.962500000000006	26.7
	13.9375	11		24.624999999999996	29.4
	13.843750000000002	13.2		25.1125	26.6
	14.762500000000001	13.3		24.65	22.9
	14.406249999999998	10.1		24.03125	28.8
	14.237499999999999	13.8		23.2	34.4
	13.481249999999998	16.3		23.31875	38.8
	13.26875	15.8		24.106250000000003	31.1
	14.00625	14.3		25.131249999999998	25.7
	14.118750000000002	12.4		25.8125	29.7
	14.743749999999999	13.9		24.125	34.6
	14.631250000000001	16.7		24.84375	34.8
	13.987499999999999	17.3		23.806250000000006	31.1
	13.043750000000003	13.4		24.25625	25.3
	13.499999999999998	8.8		25.143749999999997	24.6
	13.88125	9.2		24.018749999999997	29.1
	13.993750000000002	13.1		24.9375	34.2
	13.456249999999999		15.1	24.16875		31.2
	13.012500000000001		11	24.15625		27.9
	13.100000000000003		10.1	24.431250000000002		31.3
	13.956249999999999		11.9	25.306250000000002		33.4
	14.068750000000003		13.1	25.749999999999996		34.2
अग.	14.706249999999999		16	24.487500000000004		36.4
	13.843749999999998		17.4	23.9625		36.3
	13.725		12.9	23.38125		22.8
	13.975000000000001		13.6	23.387500000000006		23.5
	12.956249999999999		13	23.599999999999998		24.4
	12.737499999999999		13.5	24.175		24.7
	13.112499999999999		12.9	25.031250000000004		24.3
	13.418750000000001		12.8	24.775000000000006		24.2
	13.381249999999998		13	24.1		24.6
	12.743750000000002		13.1	23.8875		24.2
	12.624999999999998		12.7	23.925		23.5
	13.2125		13.2	23.65		23.6
	13.26875		13.3	22.49375		23.2
	12.281250000000002		12.7	22.76875		22.7
	12.5125		12.4	23.387500000000003		22.8
	12.631249999999998		12.2	23.131250000000005		22.5
	12.46875		12.1	22.025000000000002		21.9
	11.1375		11.4	20.462500000000002		21.2
	11.062500000000002		10.8	21.431250000000002		21.8
	11.3625		11.7	22.349999999999998		22.2
	11.687500000000002		11.9	22.96875		22.1
	12.70625		12.4	23.056250000000002		22.6
	12.06875		11.3	22.95625		22.3
	11.875		11.3	20.787499999999998		21.7
	10.756249999999998		11.5	20.7875		21.2
	11.56875		11.9	21.15625		21.3
	11.624999999999998			21.25625
	11.64375			21.65625
	11.2			21.781249999999996
	11.25			19.6375
	10.5375			19.893749999999997
सित.	10.575000000000001			20.4375
	10.1125			19.90625
	10.3			19.45
	9.506250000000001			19.250000000000004
	9.54375			19.368750000000002
	9.275			19.36875
	8.6125			19.125
	8.2875			18.39375
	8.33125			18.175
	8.737499999999999			18.1125
	9.5			17.49375
	8.8125			17.031250000000004
	9			17.03125
	8.618749999999999			17.23125
	8.3875			17.318749999999998
	7.5687500000000005			16.69375
	7.168749999999999			17.15
	7.656250000000001			16.80625
	7.43125			17.237499999999997
	7.824999999999998			15.674999999999999
	7.8375			15.131249999999996
	7.612499999999999			14.875
	7.7437499999999995			15.26875
	8.10625			15.225
	7.11875			15.287500000000003
	6.625			15.64375
	6.54375			14.862499999999999
	5.51875			14.24375
	7.0125			14.48125
	6.2625			14.412500000000001
अक्टू.	5.9375			13.606250000000001
	6.343750000000001			13.493749999999999
	6.699999999999999			14.38125
	5.6187499999999995			14.30625
	6.550000000000001			14.187499999999998
	7.53125			13.781249999999998
	6.34375			13.975000000000001
	6.4437500000000005			13.262499999999998
	5.937499999999999			13.437500000000002
	6.1875			13.112499999999997
	6.4875			12.8875
	7.0249999999999995			13.6125
	5.58125			11.89375
	4.768750000000001			11.256250000000001
	5.668749999999998			12.287500000000001
	5.574999999999998			11.51875
	5.21875			12.1125
	5.3125			12.4125
	5.849999999999999			12.000000000000002
	5.6875			11.36875
	5.05			11.09375
	4.53125			10.468749999999998
	4.28125			10.65625
	4.8374999999999995			10.187499999999998
	4.71875			10
	4.125			9.581249999999997
	3.9875			9.48125
	3.4625			8.749999999999998
	3.55			9.318749999999998
	3.3312499999999994			9.525
	3.49375			8.6875
नव.	3.2687500000000003			8.60625
	2.0999999999999996			7.687500000000001
	2.125			7.1875
	2.7750000000000004			7.08125
	2.875			7.51875
	1.86875			6.693749999999999
	0.98125			5.9437500000000005
	0.54375			5.312500000000001
	1.2687499999999998			7.087500000000001
	1.00625			6.6625000000000005
	0.9937500000000001			5.93125
	1.0187499999999998			5.8875
	0.48124999999999996			5.0562499999999995
	0.5874999999999999			5.331250000000001
	0.05000000000000007			4.831250000000001
	-0.54375			4.08125
	-0.8999999999999998			3.8312500000000003
	-1.1500000000000001			3.59375
	-1.0187499999999998			3.74375
	-1.0062499999999999			3.5937499999999996
	-0.59375			3.7187499999999996
	-0.09999999999999998			4.1375
	0.96875			5.03125
	0.49375			4.937499999999999
	0.19375000000000003			4.581250000000001
	-0.4625			4.15
	0.5374999999999999			4.218749999999999
	-0.11249999999999993			4.325
	-0.8			4.031250000000001
	-0.60625			3.6999999999999997
दिस.	-0.44999999999999996			4.2875
	0.34374999999999994			5.05625
	1.36875			5.6625
	1			5.21875
	1.24375			5.89375
	0.9312499999999999			5.7875
	1.15625			5.325
	2.2375			6.125
	2.9374999999999996			6.924999999999999
	2.63125			6.7875
	1.6749999999999998			5.968749999999999
	1.0499999999999998			5.5562499999999995
	0.5625			4.89375
	0.15000000000000002			4.300000000000001
	-0.1687499999999999			4.331250000000001
	0.10624999999999996			4.8999999999999995
	1.7000000000000002			6.22

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

वार्षिक सारांश 2026

39°C

सर्वाधिक तापमान

27 जून 26

-10°C

न्यूनतम तापमान

7 जन. 26

मौसमी विवरण

सबसे गर्म महीनाअगस्त29.9°C

सबसे ठंडा महीनाजनवरी-2.75°C

सबसे गीला महीनाफरवरी2.64mm

सबसे तेज़ हवा वाला महीनाजुलाई18.29km/h

Giessen जलवायु परिवर्तन अंतर्दृष्टिदेखें कि समय के साथ जलवायु पैटर्न कैसे बदल रहे हैं। तापमान में बदलाव, वर्षा के रुझान और चरम मौसमी घटनाएं—सब एक ही स्थान पर।

विश्व स्तर पर मौसम शहर रैंकिंगवर्तमान तापमान डेटा के आधार पर दुनिया के सबसे गर्म और सबसे ठंडे शहरों को रियल-टाइम में एक्सप्लोर करें।

Frequently Asked Questions

1. Giessen में ऐतिहासिक रूप से सबसे गर्म महीना कौन सा है?

अगस्त ऐतिहासिक रूप से Giessen का सबसे गर्म महीना है, जिसमें औसत अधिकतम तापमान लगभग 24°C रहता है। चरम हीटवेव के दौरान, सबसे अधिक दर्ज तापमान 2026-06-27 को 39°C तक पहुंचा है।

2. Giessen में ऐतिहासिक रूप से सबसे ठंडा महीना कौन सा है?

जनवरी Giessen का सबसे ठंडा महीना है, जिसमें औसत न्यूनतम तापमान लगभग -1°C रहता है। 2012-02-07 को -17°C का सर्वकालिक न्यूनतम रिकॉर्ड दर्ज किया गया था।

3. Giessen में पिछले 17 वर्षों में औसत वार्षिक वर्षा कितनी है?

Giessen की औसत वार्षिक वर्षा लगभग 699.3mm है, जो 17 वर्षों के रिकॉर्ड पर आधारित है।

4. Giessen में औसतन प्रति वर्ष कितने वर्षा के दिन होते हैं?

Giessen में ऐतिहासिक रूप से प्रति वर्ष लगभग 204.3 वर्षा के दिन दर्ज होते हैं। जनवरी में सबसे अधिक वर्षा के दिन होते हैं, जो औसतन 19.2 दिन हैं।

5. Giessen में अब तक दर्ज सबसे अधिक तापमान क्या है?

Giessen में अब तक दर्ज सबसे अधिक तापमान 2026-06-27 को 39°C था।

6. Giessen में अब तक दर्ज सबसे कम तापमान क्या है?

Giessen में अब तक दर्ज सबसे कम तापमान 2012-02-07 को -17°C था।

7. Giessen में ऐतिहासिक रूप से साल का सबसे तेज़ हवा वाला समय कौन सा है?

Giessen में फरवरी के दौरान सबसे तेज़ हवाएं चलती हैं। 44.8 kph का ऐतिहासिक झोंका रिकॉर्ड 2015-03-31 को दर्ज किया गया था।

8. Giessen में एक वर्ष में सबसे अधिक और सबसे कम आर्द्रता कितनी होती है?

आमतौर पर, Giessen की आर्द्रता दिसंबर में लगभग 89.03% तक पहुंच जाती है और अगस्त में लगभग 71.6% तक गिर जाती है।

मौसम पर नए ब्लॉग

सभी ब्लॉग देखें

Giessen ऐतिहासिक मौसम रिकॉर्ड
सबसे गर्म, सबसे ठंडे, सबसे तेज़ हवा वाले और सबसे गीले दिनों का विश्लेषण करें

Giessen मौसम प्रवृत्ति ग्राफ

वार्षिक सारांश 2026

मौसमी विवरण

Frequently Asked Questions

मौसम पर नए ब्लॉग

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

Giessen ऐतिहासिक मौसम रिकॉर्डसबसे गर्म, सबसे ठंडे, सबसे तेज़ हवा वाले और सबसे गीले दिनों का विश्लेषण करें

Giessen मौसम प्रवृत्ति ग्राफ

वार्षिक सारांश 2026

मौसमी विवरण

Frequently Asked Questions

मौसम पर नए ब्लॉग

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

Giessen ऐतिहासिक मौसम रिकॉर्ड
सबसे गर्म, सबसे ठंडे, सबसे तेज़ हवा वाले और सबसे गीले दिनों का विश्लेषण करें