Wolfenbuttel Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Wolfenbuttel Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.49375	1.5		5.975	2.6
	1.2812500000000002	-1		5.4	1.3
	1.1	-2.8		4.675	0
	0.7375	-4		4.38125	-0.1
	-0.01874999999999985	-4.8		3.6875	-1.5
	-0.09999999999999992	-8.2		3.8312500000000007	-1.7
	-0.1875000000000001	-6.7		3.96875	-2.2
	0.9687499999999999	-6		3.9375000000000004	-0.8
	0.6812499999999999	-3.9		4.0125	2.1
	-0.15624999999999997	-13.4		3.8812499999999996	-0.5
	-0.6374999999999998	-13.2		3.1562500000000004	-6.4
	0.29999999999999993	-10.6		3.5749999999999997	1.3
	0.425	1.5		3.7937500000000006	3.6
	0.11875000000000008	1.4		3.5687499999999996	5
Jan.	-0.15624999999999978	1.7		3.7687499999999994	6.9
	-0.6125	3.8		3.1187499999999995	8.5
	-1.0875000000000001	1.5		3.0187500000000007	5
	-1.7812499999999998	-1		2.5750000000000006	4.6
	-2.1375	-1.4		2.125	5.1
	-2.44375	-2.6		1.6812499999999997	4.3
	-2.9062500000000004	-3.4		1.625	4.2
	-2.343750000000001	-3.1		1.7312500000000002	1.9
	-1.4499999999999997	-3.9		1.6312499999999999	1.3
	-1.3062500000000006	-4		2.5125	0.6
	-1.6562500000000004	-3.5		2.3499999999999996	0.8
	-1.5999999999999996	-0.9		2.4562500000000003	0.6
	-0.5312500000000002	-3.1		4.05	0.6
	-0.15624999999999983	-4.4		4.11875	-0.5
	-0.2500000000000002	-2		4.143750000000001	-0.1
	-0.6749999999999999	-4.7		3.5687499999999996	1
	-0.9124999999999999	-5		3.025	0.4
	-1.0000000000000002	-7.6		3.78125	-2.2
	-0.9937500000000002	-7		3.7625	-3.2
	0.16250000000000012	-8.3		4.0625	-2.9
	-0.26249999999999984	-4.4		4.393750000000001	0
	-0.49375	-3.2		3.4937499999999995	0.2
	-0.8750000000000001	-4.9		3.3062499999999995	2
	-1.7125	-0.7		3.225	1.2
	-2.03125	0.3		2.7562500000000005	1.1
	-1.6624999999999996	0.1		3.825	3.2
	-1.7125000000000004	-0.9		3.475	5.2
	-1.225	2.6		3.0312499999999996	6.6
	-2.0062499999999996	3.2		2.6437500000000003	7
	-1.9062499999999998	-0.9		3.39375	6.3
	-1.4750000000000003	-7.2		4.687499999999999	-0.3
Feb.	-0.6125000000000002	-7.8		5.7437499999999995	1
	1.0187499999999998	-1.5		6.8374999999999995	3.3
	0.4125	0.2		6.30625	3.4
	0.7062499999999999	-6.2		6.26875	0.6
	0.5875	-3.7		5.2625	1.1
	0.29375000000000007	-5.3		6.050000000000001	2.9
	2.05	2.6		7.031250000000001	8
	1.3187499999999999	7.2		7.55	11
	1.08125	6.9		6.831250000000002	9.3
	1.04375	4		7.01875	10.2
	1.2125	3.8		7.300000000000002	13.1
	0.68125	6.5		6.48125	15.7
	0.06875000000000007	8.7		6.262499999999999	17.1
	0.23124999999999998	8.1		6.0687500000000005	15.2
	0.11874999999999987	3.1		6.750000000000001	11.6
	-0.175	3.9		6.762499999999999	13.8
	0.675	4.9		7.543749999999999	14.7
	0.59375	3.5		7.899999999999999	10.8
	0.5250000000000001	4.4		7.800000000000002	15.4
	0.6000000000000001	4.9		7.5687500000000005	16.3
	0.7687499999999999	6		7.24375	15.5
	0.6375	6.2		7.656250000000001	15.6
	0.8875000000000001	5.5		8.28125	15.8
	0.98125	6.2		8.9875	16.7
	1.03125	8.6		8.0125	13.9
	1.7937499999999997	4		7.831250000000001	11.7
	1.9374999999999998	7.7		8.875	13.5
	1.6125	2.3		7.9125000000000005	5.3
Mar.	1.96875	2.7		7.9312499999999995	8.2
	1.39375	2.5		8.706249999999999	8.4
	2.0374999999999996	0.8		8.875	5.5
	2.0062499999999996	0.3		9.531249999999998	12
	1.5437500000000002	2.9		9.456249999999999	13.1
	2.475	3.8		10.66875	11.2
	2.6374999999999997	3		10.625	11.3
	2.30625	1		9.9875	12.8
	3.1250000000000004	2.5		10.1625	13.2
	1.8499999999999999	4.9		10.81875	15
	2.3500000000000005	1.5		10.618750000000002	10.1
	2.075	-1.1		9.61875	6.3
	1.625	-1.6		10.443749999999998	8
	2.7187500000000004	0.5		11.937500000000002	4.5
	4.03125	-1		11.7875	9
	3.68125	2.9		11.850000000000001	7.3
	4.1187499999999995	1.7		11.2375	7.4
	2.8687499999999995	1.6		10.174999999999999	10.5
	2.43125	1.2		11.193749999999998	12.7
	3.70625	0.3		11.556249999999999	11.4
	3.6875000000000004	8.9		11.206250000000002	13.6
	3.4687500000000004	6.6		10.2625	15
	3.33125	3.4		12.24375	11.4
	4.05625	0.8		14.037499999999998	13.2
	4.325	0.8		12.537499999999998	12.9
	4.04375	3.1		13.756249999999998	11.7
	4.33125	3.9		13.3625	11.8
	4.812499999999999	1.9		13.150000000000002	13.2
	4.475	6.3		12.906249999999998	12.7
	5.65	3.8		13.687500000000002	13.5
	4.44375	6.4		12.8875	14.2
Apr.	4.4375	4.3		13.531250000000002	16.3
	4.156249999999999	7.7		13.51875	15.7
	4.043750000000001	9.3		13.606250000000001	18.6
	4.1375	9.8		13.637500000000001	18.8
	4.25	6.2		14.206249999999997	10.6
	4.43125	3.5		14.981249999999998	5.4
	5.025	-0.4		15.012499999999998	12
	5.3625	-0.2		14.518749999999999	14.4
	5.7	1.3		14.687500000000002	15.3
	5.199999999999999	2.6		15.250000000000002	14.3
	5.831249999999999	2.4		14.962499999999999	14.7
	4.887499999999999	0.8		13.924999999999997	13.1
	4.8187500000000005	2.1		13.131249999999998	14.2
	5.156249999999999	2.8		15.649999999999999	13.4
	7.050000000000002	0.6		16.962500000000002	13.2
	6.5875	1.9		16.24375	15.3
	6.8687499999999995	5.4		15.8625	20
	6.2875	8.7		14.812500000000002	24.2
	5.8687499999999995	12		15.206249999999999	23.4
	5.9625	10.8		13.7625	19.6
	5.7625	10.8		15.043750000000001	15.5
	5.6937500000000005	5.6		15.11875	10.3
	6.9750000000000005	6.5		15.575000000000003	7.8
	6.825	4.7		16.168750000000003	12.2
	8.1875	4.3		18.5	14.6
	9.056250000000002	5.4		18.0875	18.3
	9.249999999999998	3		18.262500000000003	9.5
	8.581249999999999	2.8		17.1	8.8
	7.2124999999999995	5		15.89375	13.2
	7.531249999999999	4		16.2875	11
May	6.7250000000000005	1.3		16.00625	13
	7.087499999999999	2.9		15.743749999999999	12.8
	8.075	3		16.2625	15.4
	7.84375	5.9		16.68125	18.1
	8.5	6.7		18.006249999999998	16.4
	9.600000000000001	8.3		18.562500000000004	17.5
	10.3625	8.1		19.53125	18.7
	9.918750000000001	9.8		19.568749999999998	22.4
	9.812499999999998	13.3		19.012500000000003	25.5
	9.4125	12.6		18.375	23.3
	9.287500000000001	10.1		17.318750000000005	23.5
	9.15625	12.5		18.0125	27
	9.55	8.4		17.45	19.5
	9.818750000000001	4.5		18.59375	18.9
	9.4125	8.4		18.55625	25.6
	10.125000000000002	12.9		19.075	21.6
	10.0625	10.6		19.381249999999998	20.8
	10.1625	9.6		19.2375	20.6
	10.29375	12.1		19.768749999999997	23
	10.524999999999999	10.8		21.00625	18.9
	11.04375	11.7		20.99375	18.9
	11.89375	11		22.18125	17.7
	12.06875	9.5		21.09375	21.2
	11.343750000000002	10.7		20.512499999999996	17.8
	11.518749999999999	9.8		21.131249999999998	23.1
	12.0125	8.9		21.712500000000002	15.6
	12.231250000000003	7.8		21.400000000000002	18.2
	12.056249999999999	7		21.012499999999996	15.9
	10.9	7.7		20.050000000000004	17.9
	11.081250000000002	10.3		20.09375	17.6
	10.94375	8.9		20.83125	16.4
Jun.	11.706249999999999	7.7		20.831249999999997	16.1
	11.36875	6.6		20.199999999999996	20.8
	11.818750000000001	10.4		21.631249999999998	22.5
	13.175	14.7		23.0875	27.1
	13.61875	17.9		22.412499999999998	31.5
	12.693750000000003	18.6		21.099999999999998	28.8
	11.681249999999999	17.2		20.7875	25.8
	12.4875	16.6		22.0125	25.1
	12.54375	13.1		20.7875	26.4
	12.69375	16.4		21.2	29.7
	13.168750000000001	18.6		21.662499999999994	30.8
	13.143749999999999	16.7		22.54375	32
	12.531250000000002	20.3		22.206249999999997	35.7
	13.525	19.8		23.856250000000003	30.6
	13.8625	17.4		23.65	24.3
	13.35	14.9		22.53125	25.2
	13.462499999999997	13.1		21.65	23.3
	13.506250000000001	11.6		22.656249999999996	25
	13.181249999999999	10.4		22.218750000000004	19.1
	13.112499999999999	8.8		22.95625	19
	14.243749999999999	13.9		23.318749999999998	21.4
	13.89375	12.9		22.624999999999996	20.4
	13.1625	15.9		22.53125	24.6
	12.875	9.8		22.38125	22
	13.525	10		22.393749999999997	20.3
	13.475	11.9		22.018750000000004	25.5
	13.918750000000001	13.7		23.78125	26.5
	13.725000000000001	14		22.55	28.3
	13.75625	12.7		21.90625	28.1
	13.037500000000001	14.4		21.606250000000003	23.2
Jul.	12.931250000000002	11.8		21.474999999999998	26.4
	13.4125	12.4		22.4625	26.3
	13.774999999999999	16.2		23.525	26.8
	14.006250000000001	12.3		23.700000000000006	24.1
	14.156249999999998	10.1		24.837500000000002	18.9
	15.175	9.5		25.5875	18.6
	15.49375	9.4		24.018749999999997	22.7
	15.03125	9.6		23.287500000000005	19.1
	14.30625	10.8		23.45625	20.1
	14.387500000000001	8.3		24.10625	22.7
	15.11875	12.6		23.881249999999998	26.2
	14.925	15.2		24.412500000000005	23.5
	15.49375	14.8		24.00625	20.3
	15.149999999999999	10.8		23.9875	24.6
	15.168750000000001	17.4		22.487499999999997	31.5
	14.381250000000005	19.3		22.58125	36.7
	14.468750000000002	16.4		22.875000000000004	27.5
	14.681249999999999	14		23.975	23.3
	15.16875	12.7		24.787499999999998	25.3
	16.0875	13.8		24.331250000000004	30.4
	15.381250000000001	18.6		24.418750000000003	32.9
	14.418750000000001	19.3		22.431250000000002	29.7
	14.081249999999999	16.5		23.849999999999998	24.7
	14.712500000000002	10.4		24.225	20.1
	14.84375	10.3		23.8	25.2
	14.41875	14.2		24.124999999999996	32.2
	14.325	15.1		23.275	28.5
	13.831249999999999	9.8		22.68125	23.3
	14.375		8.7	23.14375		26.3
	14.474999999999998		13.4	24.356250000000003		30.2
	15.275		15.9	24.9125		34.5
Aug.	15.900000000000004		17.7	24.575		31.1
	14.79375		15.1	23.25625		22.5
	14.937500000000002		10.8	23.068749999999998		23.9
	14.399999999999999		11.8	22.6875		26.4
	14.28125		12.1	22.55625		30.1
	14.081250000000002		14.9	23.1		23.8
	14.425		14.3	24.187500000000004		23.4
	14.781250000000002		14.4	23.556250000000002		23.1
	14.356250000000003		14.3	22.9875		23.4
	14.181249999999999		14.3	23.256249999999998		23.7
	14.287500000000001		14.4	23.212499999999995		23
	14.7		14.6	23.500000000000004		23.4
	14.250000000000002		14.3	21.85		22.2
	13.006250000000001		13.4	21.887499999999996		22.6
	13.656250000000002		13.5	22.675000000000004		21.9
	13.95		13.4	22.193749999999998		21.4
	13.13125		12.8	21.512500000000003		21.5
	11.95625		12.2	19.86875		20.6
	12.100000000000001		12.1	20.287499999999998		20.8
	12.5125		13.1	21.8375		21.8
	13.506249999999998		13.3	22.4125		22.2
	13.14375		13.1	22.1375		21.4
	12.906249999999998		12.4	21.95		21.6
	12.76875		12.6	20.9875		21.5
	11.981250000000001		12.8	20.812500000000004		21.5
	13.125		13.1	21.45625		21.5
	13.40625		13.2	21.06875		20.8
	12.887499999999998		12.3	21.1875		20.9
	12.462499999999999			21.118750000000002
	12.09375			18.875
	11.518749999999999			18.8625
Sep.	11.88125			19.650000000000006
	10.9375			18.75
	11.125			19.29375
	11.156250000000002			18.4875
	10.61875			18.71875
	11.093749999999998			18.95625
	9.95625			18.88125
	10.025			18.14375
	9.956249999999999			17.693750000000005
	10.193749999999998			17.83125
	10.325			17.4375
	10.4125			17.643750000000004
	10.787500000000001			17.349999999999998
	10.024999999999999			16.84375
	9.281250000000002			16.99375
	8.825000000000003			16.775
	8.65			16.7625
	8.9625			16.6
	9.2875			16.75625
	9.45			16.0375
	9.3875			15.468750000000002
	8.993750000000002			15.243750000000002
	8.9125			15.081249999999999
	8.3625			14.725
	7.825			14.66875
	7.9			14.418750000000001
	7.83125			14.74375
	7.20625			13.8625
	7.45			14.225
	7.387499999999998			14.212499999999997
Oct.	7.581250000000001			13.65625
	7.300000000000001			13.131249999999998
	7.7437499999999995			14.293750000000001
	7.106250000000001			14.168750000000003
	7.55625			14.08125
	8.306250000000002			13.38125
	8.037500000000001			14.406249999999998
	7.987500000000002			13.331249999999999
	7.593749999999999			13.6375
	7.55			13.443750000000001
	7.65625			12.65625
	7.9937499999999995			13.212500000000002
	6.6625			12.55625
	6.781250000000001			12.331250000000002
	6.7625			12.575000000000001
	7.387499999999999			12.175
	7.24375			12.656250000000004
	7.1875			13.025
	7.0874999999999995			12.76875
	7.0125			12.4125
	6.312500000000001			11.5
	6.3625			10.9125
	5.699999999999999			10.825
	5.718749999999999			10.487499999999999
	6			10.231250000000003
	5.4625			10.23125
	4.8125			9.6875
	4.46875			8.950000000000001
	5.074999999999999			9.86875
	4.225			9.28125
	4.28125			8.84375
Nov.	4.2			8.887500000000001
	3.725			7.84375
	3.3000000000000003			7.13125
	3.5937499999999996			7.1499999999999995
	3.16875			7.287500000000001
	2.275			6.324999999999999
	1.4			5.8
	1.4687500000000002			5.249999999999999
	2.6375			7.38125
	1.86875			6.6
	1.7812500000000002			5.881250000000001
	2.0500000000000003			5.806250000000001
	1.7312499999999997			5.4125000000000005
	1.6875			5.4624999999999995
	1.0999999999999999			4.69375
	0.031249999999999965			4.05
	-0.30625			3.8124999999999996
	0			4.03125
	-0.10000000000000017			3.6
	-0.05624999999999991			4.012499999999999
	0.625			4.043750000000001
	0.7437499999999999			4.175
	1.4375			4.7375
	1.45			5.2250000000000005
	1.29375			4.7875
	0.6125			4.44375
	1.44375			4.8374999999999995
	0.5875			4.700000000000001
	0.28749999999999987			4.18125
	0.38125			3.9999999999999996
Dec.	0.75			4.75
	1.35			5.343749999999999
	2.53125			6.28125
	2.375			5.9437500000000005
	2.25			6.181250000000001
	1.9375000000000002			6.075
	2.10625			5.400000000000001
	2.33125			5.4375
	2.8499999999999996			6.487500000000001
	2.86875			6.925
	1.7062500000000003			6.08125
	1.7750000000000001			5.8687499999999995
	1.6875			5.34375
	1.2375			4.9437500000000005
	0.98125			4.506250000000001
	1.2062499999999998			5.48125
	3.1666666666666665			6.706666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

37°C

Highest Temp

30 Jul. 26

-13°C

Lowest Temp

10 Jan. 26

Seasonal Breakdown

Hottest MonthAugust26.87°C

Coldest MonthJanuary-3.43°C

Wettest MonthMay3.4mm

Windiest MonthJuly21.26km/h

Wolfenbuttel Climate Change InsightsSee how climate patterns are evolving over time. Temperature shifts, rainfall trends, and extreme events—all in one place.

Weather City Ranking GloballyExplore Real time of the world’s hottest & Coldest Cities based on current temperature data.

Frequently Asked Questions

1. What is the hottest month in Wolfenbuttel historically?

August is historically Wolfenbuttel's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2022-07-20.

2. What is the coldest month in Wolfenbuttel historically?

January is Wolfenbuttel's coldest month, with average minimum temperatures around -1°C. The all-time record low of -16°C was recorded on 2021-02-10.

3. What is the average annual rainfall in Wolfenbuttel over the past 17 years?

Wolfenbuttel's average annual rainfall is approximately 689.4mm, based on records spanning 17 years.

4. How many rainy days does Wolfenbuttel experience on average per year?

Wolfenbuttel historically records approximately 214.1 rainy days per year. July has the highest number of rain days at an average of 20.9 days.

5. What is the all-time highest temperature ever recorded in Wolfenbuttel?

The all-time highest temperature recorded in Wolfenbuttel is 39°C on 2022-07-20.

6. What is the all-time lowest temperature ever recorded in Wolfenbuttel?

The all-time lowest temperature recorded in Wolfenbuttel is -16°C on 2021-02-10.

7. What is the windiest time of year in Wolfenbuttel historically?

Wolfenbuttel experiences its strongest winds during January. The historic gust record of 55.1 kph was recorded on 2025-10-26.

8. What is the highest and lowest humidity in Wolfenbuttel during a year?

Usually, Wolfenbuttel's humidity peaks in January at around 87.06% and drops to its lowest in August at approximately 69.5%.

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Wolfenbuttel Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Wolfenbuttel Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

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

Wolfenbuttel Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Wolfenbuttel Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

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

Wolfenbuttel Historic Weather Records
Analyse hottest, coldest, windiest & wettest days