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

Gronau Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.9687499999999996	1		6.762499999999999	3.9
	2.24375	0.9		6.2625	3.4
	2.18125	-2		6.0249999999999995	1.3
	2.14375	-1.5		5.618750000000001	1.4
	2.0625	-3.8		5.28125	-0.7
	1.5062499999999999	-5.8		5.1125	-1.1
	1.03125	-3.4		5.137499999999999	0.7
	1.9500000000000002	-0.7		5.26875	0.8
	1.55625	1		5.462500000000001	4.1
	1.1375	-4.6		5.356250000000001	1.1
	1.2187499999999998	-5.1		4.93125	-1.1
	1.8375	-0.8		5.3125	3.4
	1.90625	4		5.4125	7.4
	1.19375	3.2		4.875000000000001	7.4
Jan.	0.9437499999999999	5.1		4.8374999999999995	9.2
	0.38124999999999987	5.3		4.025	10.4
	-0.06250000000000008	3.7		3.5124999999999997	7.3
	-0.46249999999999997	1.3		3.4937500000000004	5.7
	-0.8812499999999999	0.3		3.325	5.6
	-1.3125	0.5		2.73125	6.4
	-1.1625	-1.3		3.21875	5.4
	-0.06874999999999999	0.1		3.875	4.9
	-0.4062500000000001	2.3		4.14375	5.7
	0.32500000000000007	-0.2		4.34375	2.6
	-0.4500000000000001	-0.5		3.8000000000000007	3.9
	-0.056250000000000064	-0.6		4.31875	0.7
	1.0187499999999998	0.4		5.6625	3.3
	1.125	-0.7		5.675000000000001	2.1
	1.03125	-1.2		5.38125	1
	0.7875	-1.7		4.8187500000000005	2.1
	0.3249999999999999	1		4.50625	3.2
	0.41874999999999984	2.3		4.625	5.5
	0.7937499999999998	-1.3		5.2437499999999995	3.4
	1.3812499999999999	-3.1		5.8	2.4
	0.9624999999999998	-0.7		5.725	6.3
	1.2249999999999999	-1.2		5.79375	2.5
	1.00625	-0.6		5.356249999999999	5.5
	-0.6000000000000001	4.1		4.30625	9.4
	-0.7562499999999999	2.5		4.0625	8
	-0.36250000000000004	1		4.36875	6.9
	-0.36250000000000004	1.5		4.3125	9.4
	-0.44374999999999987	5.1		4.293749999999999	8.9
	-1.1500000000000001	5.1		3.8124999999999996	7.7
	-0.7374999999999998	-0.6		5.112500000000001	6.9
	0.03750000000000009	-2.3		6.025	1.6
Feb.	1.1125000000000003	-2.1		6.84375	3.4
	2.01875	0.5		7.88125	5.3
	1.33125	0.3		7.30625	4.9
	1.9062499999999996	-1.9		7.199999999999999	1.5
	1.575	0.2		6.5375	4.1
	1.7125000000000004	-0.5		7.518750000000002	7.1
	2.75625	6.5		7.61875	9.9
	2.7687500000000003	8.7		8.23125	10.6
	2.125	8.1		8.09375	9.3
	2.0375	4.9		8.106250000000001	9.6
	2.05625	9.4		7.85625	15.5
	1.7687500000000003	9		7.637499999999999	15.7
	0.8187500000000002	10.1		7.456250000000001	16
	0.6937499999999999	5.2		7.325	12.3
	1.4687499999999996	3.7		7.41875	11.9
	0.8874999999999998	5.9		7.6	14.6
	1.3875000000000002	6.4		8.28125	15.1
	1.36875	3.4		8.968750000000002	12.4
	1.29375	7.1		8.66875	16.7
	1.36875	7.3		8.568750000000001	16.8
	1.4	8.7		8.61875	16
	1.5625000000000002	7.8		8.675	16.8
	2.2125	7.4		9.3375	16.7
	1.9312500000000004	8.3		9.68125	15.7
	2.34375	5.7		9.218749999999996	10.6
	2.6750000000000003	4		9.756250000000001	11.1
	2.725	4.3		9.825000000000001	9.7
	2.69375	3.6		9.243749999999997	6.4
Mar.	2.812500000000001	1.4		9.681249999999999	9.8
	3.1375	4.8		10.375000000000002	9.2
	3.25625	4.5		9.55	13.5
	2.49375	4.5		10.50625	13.2
	3.4250000000000007	5.1		10.71875	14.6
	3.4374999999999996	4.6		10.9625	11.3
	3.4437499999999996	3.2		11.300000000000002	13.3
	3.0562499999999995	3.9		11.300000000000002	14.2
	3.4937500000000004	6.3		11.131249999999998	13.2
	2.96875	6.5		11.600000000000001	13.3
	3.375	3.6		11.206249999999997	11.2
	2.4812499999999997	0.9		10.3875	6.9
	2.08125	-0.1		11.737499999999999	8.6
	3.3749999999999996	2.9		12.206249999999999	9.3
	4.375	1.2		12.46875	9.3
	4.80625	3.6		12.743750000000002	8.3
	4.812500000000001	1.9		12.437500000000002	9.7
	3.4562500000000003	2.1		10.78125	12.1
	3.1125000000000007	4.6		11.906250000000002	9.2
	4.24375	1.4		12.274999999999999	11.9
	4.5	6.9		11.8875	14
	3.7562499999999996	6.4		11.13125	13.2
	3.9625000000000004	3.3		12.5	12.4
	4.8625	3.4		14.731250000000001	14.1
	4.59375	4.3		13.231250000000003	16.6
	5.0249999999999995	8.2		14.325	18
	5.0375	5.6		13.506249999999998	10.3
	4.793750000000001	4.4		13.043749999999998	17.8
	4.937499999999999	4.1		13.581249999999999	13.3
	5.949999999999999	7.3		13.94375	13.6
	4.50625	5.3		13.7	15.6
Apr.	4.83125	7.3		14.00625	17.1
	4.9937499999999995	10.6		13.787500000000001	17.5
	4.66875	10.3		14.700000000000001	18.7
	4.79375	9.4		14.425000000000002	16.3
	4.94375	5.2		15.275	13.9
	5.6499999999999995	3.1		15.649999999999999	11.7
	5.71875	1.7		15.2875	13
	6.1625000000000005	3.3		15.6625	15.6
	6.06875	3.6		15.356249999999998	16.4
	5.975000000000002	3		15.637500000000001	16
	6.15	3		14.7875	15.8
	5.175	3		13.787499999999996	14.2
	4.80625	3.7		13.26875	14.3
	5.475	5.2		15.6375	16.1
	7	4.3		15.987499999999999	15.5
	6.61875	5.1		15.749999999999998	17.6
	6.981250000000001	7		15.68125	22.1
	6.512499999999999	10.9		15.331249999999999	22.4
	6.1000000000000005	13		15.562499999999998	19.6
	6.1499999999999995	10.8		14.08125	19.3
	5.581249999999999	8.4		15.381250000000001	10.6
	6.3062499999999995	7.5		16.400000000000002	10.2
	7.44375	6.3		16.825	15.2
	7.825000000000001	5.5		17.618750000000002	14.4
	8.906250000000002	6.9		18.693750000000005	17.4
	9.1875	7.2		17.631249999999998	15.7
	8.86875	5.1		18.318749999999998	12.5
	8.9625	5.4		16.8375	12.3
	8.018749999999999	5		16.6875	12.8
	7.28125	4.9		16.98125	11.4
May	7.337500000000001	3.2		16.3	11.4
	7.41875	3.1		16.400000000000002	12.8
	7.850000000000001	4.4		16.28125	15
	7.8875	9.3		17.4375	15.4
	8.587499999999999	7.1		18.41875	15.9
	9.543750000000001	11.3		19.0625	17
	9.975000000000001	9.8		19.45625	20.2
	10.150000000000002	11.9		19.9375	23.7
	10.20625	14.9		19.075	27.3
	9.087499999999999	13.3		18.3	23.7
	9.256249999999998	12.6		17.59375	25.8
	9.799999999999999	15.4		18.4125	29
	9.831249999999999	11.2		19.018749999999997	20.3
	9.6375	7.6		18.75625	20.9
	9.2125	12.3		18.99375	29.2
	10.00625	13.6		19.162499999999998	23.5
	10.368749999999999	13.7		20.393749999999997	21.1
	10.156249999999998	11.4		19.4625	21.3
	10.38125	14.3		20.6375	21.6
	10.9625	11.1		21.293750000000003	18.7
	11.275	12.2		20.84375	17.2
	11.35625	10.7		20.749999999999996	18.1
	10.774999999999999	10.8		20.4125	20.6
	10.737499999999999	12.3		19.95	19
	11.19375	12.4		20.0625	20.9
	11.0125	10.6		20.1625	17.4
	11.2	8		20.656250000000004	16.6
	11.2375	7.7		20.85	17.6
	10.893749999999999	11.1		20.306250000000002	20.3
	11.56875	12.8		20.15	17.2
	11.549999999999999	11		21.243750000000002	17.8
Jun.	11.668750000000003	9.7		20.543749999999996	15.9
	11.33125	10.8		20.36875	21.8
	11.706249999999999	12.9		22.218749999999996	23.3
	12.887500000000001	16.2		22.612499999999997	27.7
	13.312500000000002	19.7		20.775000000000002	32.1
	12.2125	19.4		21.23125	29.9
	11.637500000000001	17.3		20.337500000000002	27.7
	12.400000000000002	14.4		21.837500000000006	25.3
	11.837500000000002	13.6		21.018749999999997	26.6
	12.625	19		21.26875	31.8
	13.225	20		22.275	29.8
	12.993749999999999	18.5		22.056249999999995	35.2
	12.606249999999998	20.9		22.7	33.7
	13.981250000000001	19.9		23.081249999999997	30.6
	13.51875	16.4		22.91875	26.1
	13.0875	14		22.243750000000002	23.4
	13.78125	12.7		21.7125	24
	13.443749999999998	12.7		22.668750000000003	22.6
	12.61875	10.1		21.85625	22.3
	12.56875	11.3		22.6625	23.5
	13.525	14.4		21.906250000000004	20.8
	13.012500000000001	12.9		21.424999999999997	24.9
	12.618750000000002	16.6		22.075	26.3
	12.418750000000001	13.5		21.575000000000003	21.5
	13.05625	13		21.887500000000003	24.4
	13.41875	13.2		22.31875	26.1
	14.037500000000001	13.8		23.3125	28.1
	13.51875	14.7		21.912499999999998	26.7
	13.10625	11.8		20.65625	28.2
	13.0875	16.3		21.118750000000002	27.3
Jul.	12.656249999999998	14.5		20.75625	27.7
	13.124999999999998	14.3		22.137499999999996	26.5
	13.6375	13.4		22.3375	28.2
	13.649999999999999	12.2		23.668749999999996	22.3
	14.556249999999997	12.4		25.262500000000003	22
	14.96875	12.3		24.756249999999998	20.7
	14.781249999999998	9.7		23.81875	24.5
	14.425	10.4		22.925000000000004	20.5
	13.6875	12.1		23.362499999999994	23.3
	14.556249999999999	9.5		23.968749999999996	25.4
	14.225000000000003	13.9		23.724999999999994	29.9
	14.618750000000002	15.2		23.593749999999996	22.1
	15.006249999999998	13.7		23.287499999999998	22.2
	14.487499999999997	12.4		23.06875	28.3
	14.112499999999999	19.2		21.8875	33.9
	13.612500000000002	17.1		22.175	34.3
	13.83125	15.6		21.575	29.3
	13.937499999999998	10.7		22.993749999999995	24.8
	14.331249999999997	13.2		24.343750000000004	27.9
	15.04375	16.3		23.88125	33.9
	14.4875	19.1		23.03125	35.7
	13.800000000000002	18		22.025	26.6
	13.55	12.2		23.26875	24.5
	14.068749999999998	10.6		23.36875	22.2
	14.11875	10.4		22.3	27.3
	13.506250000000001	14.8		22.6	32.1
	13.568750000000001	12.7		22.4875	27
	13.618749999999999	9.1		22.693749999999998	25.2
	14.16875	8.7		23.35	30.2
	14.531250000000002	15.4		24.231250000000006	35.1
	15.037500000000001	19.7		24.587500000000002	38.3
Aug.	14.93125		16.6	23.89375		30.7
	14.08125		13.4	22.84375		24.4
	14.53125		13.8	20.46875		22.2
	13.531250000000002		15	21.6375		23.1
	13.23125		13.6	22.1375		20.8
	13.281249999999998		11.2	23.3125		21
	13.91875		9.8	23.743750000000002		24.2
	14.2875		9.3	22.843750000000004		22.6
	14.05625		14.1	22.675000000000004		23.1
	13.837500000000002		14.1	22.96875		23.7
	13.575		13.6	23.243749999999995		22.5
	14.168749999999998		13.9	22.943749999999994		22.7
	13.3125		13.2	21.35		21.9
	12.818749999999998		13.4	22.05		22.2
	13.28125		12.7	22.375		21.8
	12.75		12.4	21.85		21.2
	12.668750000000003		12.6	21.0625		20.8
	11.39375		11.5	19.600000000000005		20.3
	11.456250000000002		11.7	21.099999999999998		21.4
	12.4375		12.8	22.125		21.5
	13.08125		13.1	22.037499999999998		21.4
	13.45		13.1	21.968750000000004		21.9
	13.031249999999998		12.8	21.856250000000003		21.5
	13.0875		12.9	20.674999999999997		21.2
	12.7125		13.3	20.599999999999998		20.8
	12.912499999999998		12.9	20.875000000000004		20.9
	12.8375		12.4	20.631249999999998		20.1
	12.875		12.5	20.2		19.8
	11.7625		11.5	19.856250000000003		19.8
	11.418749999999998		11.5	18.81875		19.1
	11.0125		11.2	19.225000000000005		19.3
Sep.	11.14375			19.424999999999997
	11.093750000000002			19.11875
	11.037500000000001			18.650000000000002
	11.14375			18.80625
	10.424999999999999			18.668749999999996
	11.05625			19.16875
	10.031250000000002			18.712500000000002
	10.15625			18.731250000000003
	10.043750000000001			18.174999999999997
	10.13125			17.675000000000004
	9.91875			17.862500000000004
	10.275			17.16875
	9.962500000000002			17.4375
	9.956250000000002			17.1125
	10.087499999999999			17.01875
	8.71875			16.56875
	9.125			16.918750000000003
	9.300000000000002			16.7125
	9.268750000000002			16.724999999999998
	9.91875			16.5875
	9.99375			16.387500000000003
	9.13125			15.46875
	8.55625			15.4125
	9.025			15.418750000000001
	8.381250000000001			15.4875
	8.387500000000001			15.349999999999998
	7.8375			14.51875
	7.106249999999999			13.731249999999998
	8.325			14.90625
	7.962499999999999			14.174999999999999
Oct.	7.849999999999999			13.643750000000002
	7.5687500000000005			13.6125
	8			14.581250000000002
	7.662499999999999			14.44375
	8.5			15.325
	8.66875			13.962500000000002
	8.175			14.018749999999999
	8.4375			13.912500000000001
	8.068749999999998			14.056249999999999
	8.23125			13.975
	7.975			13.193750000000001
	8.175			13.8
	7.4625			13.2125
	7.0125			12.875
	7.1187499999999995			12.8
	7.456250000000001			12.262500000000001
	7.4125000000000005			12.8625
	7.831250000000001			13.1375
	7.687499999999999			12.81875
	7.112499999999999			12.268749999999999
	6.593749999999999			11.943750000000001
	6.55625			11.575000000000001
	6.1625000000000005			11.349999999999998
	6.312499999999999			10.85625
	5.918749999999999			10.80625
	5.70625			10.4375
	5.9375			10.174999999999999
	5.125			10.2375
	5.68125			10.175
	5.037499999999999			10.15625
	4.7875000000000005			9.41875
Nov.	5.3125			9.45625
	4.574999999999999			8.918750000000001
	4.1812499999999995			8.812500000000002
	4.550000000000001			8.406249999999998
	4.2			8.48125
	2.5875			7.4875
	2.1999999999999993			6.9125000000000005
	2.5500000000000003			6.86875
	3.9250000000000007			8.393749999999999
	3.2562500000000005			7.3875
	2.60625			7.343749999999999
	2.71875			6.98125
	3.2625			6.500000000000001
	2.73125			6.58125
	1.8000000000000003			5.93125
	1.2687500000000003			5.60625
	0.6625000000000001			5.06875
	1.3875			5.425
	1.55			5.1625000000000005
	1.1125			5.043749999999999
	1.6			4.856250000000001
	2.1			5.8375
	2.3875			5.99375
	2.5500000000000003			6.29375
	2.2375			5.9375
	1.8625			5.54375
	1.5750000000000002			5.2875
	1.175			5.14375
	1.53125			5.387499999999999
	1.175			4.74375
Dec.	1.6937500000000003			5.8687499999999995
	2.7625			6.7375
	3.5687499999999996			7.0874999999999995
	3.1874999999999996			6.53125
	3.7000000000000006			7.449999999999999
	3.3187499999999996			7.2375
	2.8937500000000003			6.375
	3.5312500000000004			6.981249999999999
	3.9749999999999996			7.468750000000001
	4.3625			7.724999999999999
	2.7500000000000004			6.8375
	2.925			6.787499999999999
	2.4125			6.2437499999999995
	2.1875000000000004			5.818749999999999
	1.5937499999999998			5.700000000000001
	2.3125			6.55625
	4.08			8.066666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

14 Aug. 26

-6°C

Lowest Temp

6 Jan. 26

Seasonal Breakdown

Hottest MonthAugust29.34°C

Coldest MonthJanuary-0.12°C

Wettest MonthMay3.1mm

Windiest MonthFebruary24.83km/h

Gronau 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 Gronau historically?

August is historically Gronau's hottest month, with average maximum temperatures around 23°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2026-08-14.

2. What is the coldest month in Gronau historically?

January is Gronau's coldest month, with average minimum temperatures around 1°C. The all-time record low of -13°C was recorded on 2021-02-12.

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

Gronau's average annual rainfall is approximately 827.07mm, based on records spanning 17 years.

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

Gronau historically records approximately 221.1 rainy days per year. July has the highest number of rain days at an average of 21.8 days.

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

The all-time highest temperature recorded in Gronau is 38°C on 2026-08-14.

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

The all-time lowest temperature recorded in Gronau is -13°C on 2021-02-12.

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

Gronau experiences its strongest winds during December. The historic gust record of 55 kph was recorded on 2020-02-09.

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

Usually, Gronau's humidity peaks in December at around 87.2% and drops to its lowest in April at approximately 73.2%.

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

Gronau 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

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

Gronau 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

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