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

Granollers Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.03125	2.7		6.550000000000001	8.7
	-1.0625	2		6.81875	9.9
	-0.6437500000000002	4.6		6.875	6.4
	-0.6187499999999999	2.9		7.262499999999999	5.5
	-1.35	1.7		6.45	2.7
	-1.74375	-1.2		6.643750000000001	6.6
	-1.9	-1.9		6.2375	6.4
	-1.83125	0.5		6.593749999999999	11.4
	-1.7312500000000006	2.2		5.856249999999998	9.7
	-1.7750000000000001	0.8		5.324999999999999	9.1
	-2.30625	1.9		5.64375	10.1
	-2.8500000000000005	2.9		6.218750000000002	11.4
	-3.1124999999999994	5.4		5.86875	12.8
	-2.6062499999999997	6.2		5.987500000000001	13.4
Jan.	-2.69375	5.4		6.0062500000000005	12.3
	-2.4374999999999996	4.7		5.74375	10.5
	-1.5937499999999998	4.9		5.3	8.3
	-2.1750000000000007	5.8		4.987500000000001	10.2
	-2.0375	5.7		4.325000000000001	7.4
	-2.5562500000000004	4.1		4.31875	7.4
	-2.70625	2.8		4.65625	9.3
	-2.83125	4.7		5.206250000000001	9.5
	-2.3062499999999995	2.9		5.575	10.4
	-1.8687499999999997	1.7		6.39375	4.5
	-1.4874999999999998	0.2		6.4437500000000005	8
	-2.1562499999999996	0.6		6.20625	9.9
	-1.6687499999999997	4.4		6.83125	11.9
	-1.3937500000000003	1.7		6.300000000000002	6.9
	-1.9125000000000005	1.1		6.031249999999999	9.6
	-1.9374999999999996	2.6		7	11.1
	-1.7625	3.7		7.5125	10.9
	-1.3812499999999999	3.4		6.637499999999999	11
	-2.3312500000000003	4.1		6.9624999999999995	11.2
	-2.38125	2.4		7.2625	10.2
	-1.9562499999999998	2.3		6.91875	9.3
	-1.1249999999999998	3.7		7.6125	10.9
	-1.8562500000000004	4.5		6.35	12
	-2.44375	3		5.387499999999999	10.4
	-2.3249999999999997	3.9		5.3625	10.9
	-2.7624999999999997	4.8		5.6000000000000005	10.3
	-2.175	5.4		6.26875	12.5
	-2.76875	8.2		5.543749999999999	15.6
	-2.2250000000000005	6		5.79375	14.7
	-2.0249999999999995	5.3		6.843749999999998	6.7
	-1.51875	3.3		6.76875	11.4
Feb.	-1.1437500000000003	1.1		7.137499999999998	10.5
	-0.5562500000000001	4.8		7.606250000000002	15.3
	-0.3062499999999999	6.3		8.34375	9.4
	-0.4937499999999998	4.8		8.524999999999999	14.2
	-0.36249999999999993	3.6		7.6375	11.6
	-0.65625	3.1		8.7125	11.9
	-1.1312500000000003	4.4		8.09375	16.4
	-0.7749999999999999	8		8.51875	18.7
	-1.0124999999999997	8.4		8.95	18.1
	-0.6999999999999996	8.9		8	19.7
	-0.8437500000000001	8.5		7.793749999999999	17.5
	-1.1375	7.1		7.418749999999999	17.6
	-1.90625	8		6.631250000000001	17.6
	-0.60625	7		7.456249999999998	15
	-1.1062499999999997	6.2		8.28125	13.2
	-0.6187499999999999	5		8.668750000000001	13.9
	0.4750000000000001	6.6		8.00625	13.8
	-0.6875000000000003	7.9		7.7125	12.7
	-0.8062499999999999	8.6		8.14375	10.4
	-0.69375	8.8		7.831250000000001	10.1
	-1.28125	7.6		7.706249999999999	13
	-0.7937500000000002	5.1		7.749999999999999	13.6
	-0.2249999999999999	6.6		9.00625	14.8
	-0.3124999999999999	5.4		8.96875	13.5
	-0.09375000000000037	5.8		9.487499999999999	15.1
	0.55625	7.4		8.55	12.3
	-0.05624999999999998	6.2		9.24375	16.2
	-0.6562500000000003	1.2		8.75	9.1
Mar.	-0.08125000000000013	0.8		9.48125	12.9
	0.1937500000000002	2.1		10.25	15.7
	0.6562500000000001	6.4		10.174999999999999	17
	0.7375	6.6		9.637500000000001	17
	0.81875	5.7		9.5375	10.7
	1.3562499999999997	4.3		9.3125	13.7
	1.0125	4		9.125	14.5
	0.98125	5.6		9.85625	14.4
	0.96875	6.4		9.63125	12.4
	0.74375	5.9		9.225	16
	0.74375	6.7		9.356249999999998	18
	0.3625	5.5		9.58125	12.2
	0.8687499999999999	3.1		9.99375	13.6
	0.6250000000000001	3.6		11.081249999999999	14.7
	2.1437500000000003	2.7		11.687500000000002	10.9
	2.8625	1.7		12.3875	17.3
	2.375	5.2		12.093749999999998	16.7
	1.525	4.5		10.53125	14.1
	1.0624999999999998	4.1		10.387500000000003	16.4
	1.28125	4.6		10.562499999999998	17.7
	1.7125	7.8		10.0625	20.8
	1.4625000000000001	10.4		10.856250000000001	22.3
	1.9749999999999996	10.7		11.05625	22.1
	1.75	9.5		11.88125	21.9
	2.2125000000000004	11.1		12.23125	23.6
	2.41875	12.7		12.356250000000001	24.8
	2.03125	14		12.068750000000003	25.5
	2.7312500000000006	13.7		12.887500000000001	26.5
	2.7062500000000003	10.2		12.40625	17.5
	2.65625	6.6		11.737499999999999	12
	3.08125	4.7		12.118750000000002	17.8
Apr.	3.1625000000000005	6.9		13.49375	20.7
	3.19375	10.4		12.499999999999998	20.6
	2.51875	11.9		12.624999999999996	22.1
	3.03125	13.2		12.437500000000002	22.9
	2.84375	13.7		10.981250000000001	24
	2.45	12.6		11.475000000000001	23.2
	2.9124999999999996	12.2		11.825	23.3
	3.5999999999999996	12.3		11.618749999999999	24.3
	3.4625	9.8		12.175	19
	3.2249999999999996	8.8		12.94375	20.6
	4.2125	9.9		13.6625	22.1
	4.268750000000001	12.2		12.674999999999999	21.7
	3.787500000000001	12.2		12.537499999999998	20.6
	4.043749999999999	11.1		12.29375	22.1
	4.65625	11		12.568750000000001	20.9
	4.6312500000000005	11.1		12.706250000000002	21.6
	4.1312500000000005	11.6		12.187500000000004	17.7
	3.5687499999999996	10.5		12.743749999999999	18.3
	3.4687500000000004	9.6		13.281249999999998	17.3
	3.7562499999999996	10.7		13.968749999999996	18.7
	4.53125	9		14.618749999999999	18.2
	4.9125	7.7		14.812500000000002	17.6
	5.4875	8.2		14.525	17.7
	5.975	8.4		15.506250000000001	18.6
	6.3374999999999995	9.6		15.381250000000001	17.4
	6.6375	9.3		15.5375	20.9
	6.281249999999999	9.3		15.081249999999999	21.1
	5.64375	10		14.818749999999998	20.9
	5.2375	9.3		15.0625	14.6
	5.750000000000001	9		14.862499999999999	16.8
May	5.3	5.8		14.449999999999998	10.8
	5.375	5		14.712499999999999	15.9
	5.51875	8.4		14.200000000000003	15.8
	5.85625	9.2		15.09375	15.9
	6.05625	10.6		14.3625	20.6
	5.6812499999999995	13		15.118750000000002	22.7
	6.156249999999999	14.7		15.556249999999999	25
	6.706250000000001	16.4		16.474999999999998	26.7
	6.66875	16.2		16.681250000000002	25.9
	6.825	16		15.975	27.9
	7.431250000000001	16.9		16.41875	26.8
	7.4125000000000005	15.4		17.3	28
	8.19375	16.2		17.756249999999998	29.4
	8.5875	19.2		17.65	32.2
	8.40625	19.5		17.556250000000002	29.6
	8.40625	17.1		17.818749999999998	28.1
	8.2625	17.8		17.80625	28.9
	8.831249999999999	16		18.525000000000002	27.4
	9.05625	16		17.937500000000004	26.1
	9.262500000000001	13.3		18.575	23.7
	9.106250000000001	13		18.400000000000002	24.6
	8.93125	12.9		17.812499999999996	18.7
	9.24375	12.2		18.66875	24.8
	9.737499999999999	14.9		19.556250000000002	26
	10.00625	15.7		19.5125	27.4
	10.374999999999998	16.4		18.856250000000003	23.8
	10.462499999999999	13.8		19.181250000000002	19.9
	10.525	12.5		19.11875	23
	10.675	14.1		19.224999999999998	27.5
	10.799999999999999	17.4		20.13125	29.4
	10.7625	18.6		20.331249999999994	29.7
Jun.	11.14375	18.4		20.337500000000002	29.2
	11.068750000000001	18.6		20.643749999999997	29.9
	11.549999999999999	19.8		20.48125	30.9
	11.018749999999999	17.7		20.656250000000004	29.2
	11.143749999999999	17.2		20.36875	29.5
	11.33125	19.1		21.20625	31.2
	11.737499999999999	20.6		21.6125	33.9
	11.89375	21.7		22.212500000000002	34.5
	12.18125	21.6		21.400000000000002	34
	11.98125	21.1		21.400000000000002	33.6
	12.1625	19.9		22.418750000000003	32.7
	12.81875	20.1		22.98125	33.1
	12.9625	19.8		23.287500000000005	33.2
	13.349999999999998	20.5		23.568749999999994	33.7
	13.368750000000002	19.5		23.13125	32.6
	13.043749999999998	19.1		22.431250000000002	30.7
	13.099999999999998	19.9		22.937499999999996	29
	12.875000000000002	17.5		22.93125	29.7
	13.175	18.5		23.0625	31.5
	13.60625	19.9		23.056250000000002	31.1
	13.15625	20.3		23.64375	34.5
	13.7125	21.2		23.925000000000004	35
	13.73125	21.9		23.04375	34.9
	13.681250000000002	23.2		22.937499999999996	37
	13.499999999999998	24.1		22.81875	35.9
	13.600000000000001	22.1		23.981250000000003	33.6
	14.518749999999999	19.7		24.368749999999995	32.7
	14.50625	19.7		23.906249999999993	32.5
	13.9875	19.9		23.143749999999997	32.6
	13.943750000000001	18.8		22.45	33.9
Jul.	13.912500000000001	22.7		22.718749999999996	38.6
	13.56875	21.9		23.712499999999995	34.9
	14.018749999999997	19.9		23.737499999999997	34.4
	13.906250000000002	21.1		24.362500000000004	33.2
	14.2875	21.6		24.762500000000003	34.3
	14.356250000000001	20.4		24.531249999999996	35.9
	14.256250000000001	20.8		24.018749999999997	35.1
	14.124999999999996	18.9		23.24375	33.5
	14.1	20.2		23.874999999999996	33.9
	14.156249999999998	19.6		23.1875	33.2
	13.80625	18		22.518750000000004	30.7
	13.643750000000002	17.2		22.7375	26.6
	13.75	16.7		22.881249999999998	27.7
	13.96875	18.9		23.318749999999998	32.9
	14.1125	20		23.20625	34.2
	14.262500000000001	20.9		22.875	35
	14.4	20.4		24.343750000000004	34.4
	14.65625	21.1		24.924999999999994	32.5
	14.71875	20.7		24.812500000000004	33.9
	14.637500000000003	19.6		24.268750000000004	31.7
	14.6875	19		23.687499999999996	32.8
	14.66875	21.8		24.25	33.9
	14.593750000000002	18.5		23.725000000000005	32.4
	14.649999999999999	18.6		23.543750000000003	32.2
	14.174999999999999	21.7		23.06875	33.1
	13.96875	21.6		23.8875	34.5
	14.343750000000002	20.1		24.487499999999997	33
	14.868749999999999	19.8		24.51875	32.1
	14.950000000000003	19.5		24.61875	32.8
	14.700000000000001	21.9		23.693749999999998	34.9
	14.143749999999999	23.1		23.350000000000005	34.2
Aug.	13.924999999999997	20.7		22.5	32.7
	13.74375	19.7		23.21875	33.1
	13.8125		3.9	23.125000000000004		8.4
	13.79375		8.3	22.950000000000003		9.9
	13.6625		7.9	22.381249999999994		10.4
	13.712499999999999		10.1	23.131249999999994		11.4
	14.237499999999999		9.4	24.18125		11
	14.475		8.9	23.762499999999996		9.9
	14.387500000000001		9.9	24.075		11.9
	14.8		10.7	23.45625		12
	14.28125		21.1	23.249999999999996		28
	13.925000000000002		20.5	23.6625		28.2
	13.462499999999999		20.2	22.493749999999995		27.8
	13.375000000000002		20	22.768750000000004		27.6
	13.625		20.1	22.15		26.4
	13.024999999999999		19.4	21.01875		26
	12.58125		19.3	20.356249999999996		26
	12.225		19.4	20.650000000000002		25.8
	12.100000000000003		19.1	19.69375		25.6
	11.8125		18.9	20.099999999999998		26
	11.9		19.3	20.974999999999998		26.5
	12.456249999999999		19.3	21.181250000000002		26.4
	12.250000000000002		19.3	21.175		26.4
	11.98125		18.8	20.662499999999998		25.3
	12.043750000000001		18.6	19.543750000000003		24.8
	11.2875		18.2	19.306250000000002		24.7
	11.162500000000001		18	19.20625		25
	11.21875		18.4	19.9875		25.4
	12.36875		18.4	19.862499999999997		25.5
	11.837499999999999		18.4	20.362499999999997		25.3
	11.80625		18.2	19.93125		25
Sep.	11.18125		17.7	19.381250000000005		24.3
	11.1125		17.7	19.325		24.3
	11.275			19.46875
	11.043750000000001			18.225
	10.15			18.156249999999996
	10.525			17.912499999999998
	10.456249999999999			17.812500000000004
	9.868750000000002			17.650000000000002
	9.787500000000001			17.15625
	9.84375			17.900000000000002
	9.912499999999998			17.20625
	8.868749999999999			17.099999999999998
	8.806249999999999			17.7875
	8.931249999999999			17.15625
	9.21875			17.0625
	9.212500000000002			17.018749999999997
	9.1625			18.037499999999998
	9.19375			17.974999999999998
	9.281250000000002			17.231250000000003
	8.993749999999999			16.749999999999996
	8.843749999999998			16.88125
	9.012500000000001			16.65
	8.7625			16.53125
	8.674999999999999			16.712500000000002
	9.35			16.3875
	9.118749999999999			16.431250000000002
	8.25625			15.98125
	8.83125			15.881250000000001
	8.187499999999998			15.59375
	8.268749999999999			15.243749999999997
Oct.	7.362499999999998			14.56875
	6.937499999999999			14.775
	7.0625			14.874999999999998
	7.59375			15.543749999999998
	8.2125			14.95625
	7.9750000000000005			14.718749999999998
	7.468750000000001			14.237500000000002
	7.324999999999999			13.84375
	7.25625			14.625000000000002
	6.70625			14.94375
	6.8187500000000005			15.1875
	6.875			14.768749999999999
	6.7875000000000005			13.768750000000002
	5.35625			13.1625
	5.3999999999999995			12.74375
	5.46875			13.306249999999999
	5.637499999999999			13.231250000000001
	5.86875			12.931249999999997
	5.4750000000000005			13.343750000000002
	5.41875			12.393750000000002
	4.9937499999999995			11.893749999999999
	4.31875			11.387500000000001
	3.5312499999999996			11.262499999999998
	3.29375			11.137500000000001
	3.243750000000001			10.2125
	2.85625			10.48125
	3.45			11.0875
	3.34375			11.624999999999998
	3.99375			12.206249999999999
	4.206250000000001			11.587500000000002
	3.8624999999999994			10.925
Nov.	3.56875			9.9
	2.7875			10
	2.725			9.55625
	2.4			9.3875
	1.8562500000000002			9.15625
	1.275			8.793750000000001
	1.3375			8.7375
	1.4375			8.112499999999999
	1.4562499999999998			8.61875
	1.09375			8.91875
	1.05625			8.3
	0.7125			7.8687499999999995
	0.4812499999999999			7.237500000000001
	0.6812499999999999			7.49375
	0.75			6.9375
	0.575			7.5874999999999995
	-0.39374999999999993			7.3687499999999995
	-0.9374999999999999			6.75625
	-1.3437499999999998			6.599999999999999
	-0.73125			6.64375
	-0.30625			7.199999999999999
	0.01874999999999999			7.49375
	0.26875			8.3125
	0.14374999999999993			7.756249999999999
	-0.35			6.993749999999999
	-0.6			7.156250000000001
	-0.6249999999999998			7.05625
	-0.5875			7.018750000000001
	-0.32499999999999984			6.84375
	0.08124999999999988			7.4312499999999995
Dec.	-0.21875			7.59375
	0.018749999999999933			7.3375
	-0.15624999999999994			7.225
	-0.3374999999999997			7.500000000000001
	0.16249999999999992			7.437500000000001
	0.29375			7.4437500000000005
	0.1			6.956249999999999
	0.35			8.5375
	0.96875			8.962499999999999
	0.8624999999999999			8.6125
	0.4875			8.35625
	-0.09375000000000006			7.5125
	-0.21250000000000002			7.78125
	-0.575			7.137499999999999
	-0.5812499999999998			7.3999999999999995
	-0.7187500000000002			7.768750000000001
	-0.7000000000000001			7.980000000000001

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

15 Jul. 26

-2°C

Lowest Temp

7 Jan. 26

Seasonal Breakdown

Hottest MonthJuly33.3°C

Coldest MonthJanuary2.83°C

Wettest MonthMarch4.83mm

Windiest MonthJuly16.16km/h

Granollers 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 Granollers historically?

July is historically Granollers's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2026-07-15.

2. What is the coldest month in Granollers historically?

January is Granollers's coldest month, with average minimum temperatures around -2°C. The all-time record low of -12°C was recorded on 2010-03-10.

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

Granollers's average annual rainfall is approximately 1010.1mm, based on records spanning 17 years.

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

Granollers historically records approximately 194.6 rainy days per year. May has the highest number of rain days at an average of 21.7 days.

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

The all-time highest temperature recorded in Granollers is 39°C on 2026-07-15.

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

The all-time lowest temperature recorded in Granollers is -12°C on 2010-03-10.

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

Granollers experiences its strongest winds during March. The historic gust record of 38.5 kph was recorded on 2026-03-29.

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

Usually, Granollers's humidity peaks in October at around 74.3% and drops to its lowest in July at approximately 65.4%.

Recent Blogs On Weather

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

Granollers Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

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

Granollers 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

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