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

Ferrara Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.48125	0.7		7.98125	5.1
	1.6875	3.1		7.581249999999999	6
	2.06875	3		8.24375	6.3
	2.1875	3.5		8.01875	6.4
	2.0125	0.8		8.3375	4.6
	2.4750000000000005	1.7		7.9312499999999995	3.1
	1.75625	-0.3		7.5375	3.5
	2.55625	-1		8.09375	3.5
	2.7	0.3		8.2875	1.3
	2.1437500000000003	-0.4		8.375000000000002	5.7
	1.7124999999999997	0		8.700000000000001	6.2
	1.39375	0.6		8.55625	5.2
	1.2875000000000003	1.9		7.65	3.4
	0.9937499999999999	4.4		7.875	7.3
Jan.	1.5437500000000002	5.1		8.225000000000001	7.6
	1.0562500000000001	6.8		8.04375	10
	1.84375	7.2		7.6625000000000005	9
	1.2937500000000002	6.3		7.762499999999998	7.9
	1.3749999999999998	4		7.081250000000001	6.2
	1.45	1.1		6.675000000000001	7.3
	1.20625	0.1		7.24375	6.4
	1.2187499999999998	3.3		7.700000000000001	6.8
	1.4375	2.5		8.01875	7.8
	1.39375	4.1		8.1	7.9
	1.38125	3.5		8.049999999999999	7.5
	0.50625	4.3		8.112499999999999	7.8
	0.83125	3		8.212499999999999	9.5
	1.8125	5.8		8.2	7.7
	1.3499999999999999	5.4		8.24375	9.5
	1.45	3.9		8.20625	10.1
	2.075	4.4		8.21875	10.1
	2.9562500000000003	3.9		9.21875	9.2
	2.46875	3.6		9.4375	9
	2.0312499999999996	5.7		9.55625	9
	2.6	5.6		9.8125	7.1
	2.4124999999999996	5.8		9.462499999999999	8.9
	2.54375	7.8		9.100000000000001	9.4
	2.35	7.5		10.100000000000001	9.1
	1.925	8.3		9.8125	10
	1.40625	7.8		9.64375	9.8
	2.9875	7.7		9.799999999999999	11.6
	2.6812500000000004	6.6		9.631249999999998	9.3
	2.65625	6.7		9.075000000000001	9.3
	1.9875000000000003	5.8		9.41875	13.4
	1.93125	8.1		9.94375	11.1
Feb.	1.3062500000000001	8.1		10.625	12.9
	2.6375	6.4		11.100000000000001	9.6
	3.3187499999999996	4		11.687499999999998	12.2
	3.3874999999999997	4.3		11.5875	11.7
	3.7750000000000004	5.2		12.10625	13.5
	3.6375	5.7		11.03125	12.5
	3.0374999999999996	5.6		11.868749999999999	12
	4.075	6.1		11.53125	14.3
	3.943749999999999	7.9		11.887500000000001	14.8
	4.1875	9.4		12.50625	13.7
	3.7624999999999993	8.7		12.6	15.3
	3.475	8.8		11.84375	16.6
	3.4250000000000003	9.6		11.118749999999999	16.8
	4.3	9.5		11.624999999999998	16.1
	4.5125	10		11.90625	15
	4.525	8.9		12.143750000000002	14.8
	3.7250000000000005	8.2		13.30625	15.7
	4.45	8.8		12.575000000000001	16.1
	4.6625000000000005	8.6		12.61875	16.1
	4.281250000000001	8.6		12.837499999999999	16
	4.2437499999999995	7.2		12.84375	16.5
	4.1375	7.8		12.8625	16.2
	4.15625	8		13.375	15.7
	4.7375	8		13.5125	16.9
	5.206250000000001	10.5		13.85	16.3
	4.8812500000000005	9		14.312499999999998	16.7
	4.843749999999999	9.9		14.75	16
	5.7250000000000005	8.5		14.931249999999999	17
Mär.	5.51875	10.3		14.956249999999999	14.8
	5.525	7.9		15.531249999999996	17.7
	5.7124999999999995	8.8		15.918749999999998	13.9
	6.0375	7.3		14.750000000000002	12.6
	5.5875	6.6		15.11875	14.9
	5.75625	8.6		15.268750000000002	15.5
	5.98125	7.1		15.56875	15.4
	6.4625	7.5		16.2625	14.1
	6.6312500000000005	6.1		17.11875	15.7
	6.80625	7.1		16.875	17.9
	6.08125	8.7		16.2375	18.4
	6.5375	2.8		15.943750000000001	12.5
	7.093750000000001	3.8		15.924999999999999	12.5
	6.575	3.8		17.200000000000003	15.1
	7.5125	7.1		18.156249999999996	14.3
	8.16875	6.7		19.124999999999996	16
	8.556249999999999	6		18.98125	14.7
	8.44375	6.2		18.618750000000002	14.3
	8.1625	6.6		17.200000000000003	15.9
	8.012499999999998	7.7		17.28125	19.2
	7.906249999999999	8.6		16.325000000000003	20
	7.718750000000001	9.5		16.50625	22.6
	7.1125	11.1		17.600000000000005	23.5
	7.6625000000000005	11.5		18.112500000000004	23.3
	7.7125	12		19.2375	18.3
	8.168750000000001	10.9		18.793750000000006	18.9
	8.15	10.3		19.131249999999998	19.7
	8.2375	12.1		18.40625	19.5
	9.2625	10.2		19.275	19.3
	8.96875	13.8		18.631249999999998	18.3
	8.65	12.5		18.737499999999997	14.9
Apr.	8.90625	12.5		18.85	17.6
	8.75625	12.8		19.01875	22.6
	8.79375	12.6		18.58125	23
	8.6	13.2		18.856249999999996	22.5
	8.49375	12.8		18.94375	21.6
	8.437499999999998	12.7		19.856250000000003	20.7
	9.44375	11.3		19.0625	16.4
	9.1875	9.5		19.23125	16.7
	10.512499999999998	7.6		19.425	18.9
	10.543750000000001	9.3		19.843750000000004	23.1
	9.856249999999998	11.2		19.98125	23.8
	10.237499999999999	11.6		20.64375	24.6
	10.8	13.9		19.537499999999994	23.3
	10.275	13.3		19.924999999999997	24.1
	10.943749999999998	13.3		20.325000000000003	21
	10.999999999999998	10		20.881249999999994	17.3
	11.374999999999998	7.8		21.5625	18.9
	11.95625	9.1		20.5375	22.4
	12.068749999999998	10.7		21.0625	24.9
	11.55	12.3		21.106250000000003	24.4
	11.462499999999999	12.7		21.14375	18.7
	11.531249999999998	11.8		21.04375	21.3
	11.862499999999999	9.9		21.625	22.2
	11.981250000000001	12.8		21.6375	21.4
	11.668750000000001	11.9		22.487500000000004	24
	12.6875	14.3		22.93125	19.6
	13.043749999999998	13.5		23.287499999999994	22.5
	13.256250000000001	11.9		22.89375	21.4
	12.99375	10.3		22.818750000000005	17.5
	12.15	11.7		21.493749999999995	20.5
Mai	12.031250000000002	9.9		20.812499999999996	15
	12.174999999999999	9.7		21.29375	19.1
	12.14375	8.7		21.70625	21.8
	11.993749999999999	11.1		22.80625	22.9
	12.531249999999998	10.9		22.650000000000002	22.5
	12.8875	12.7		22.7375	24.6
	13.25625	14.7		23.825	26.6
	13.75625	15.5		23.362500000000004	25.7
	13.868749999999999	16.1		24.124999999999996	27.7
	13.493749999999997	17.2		24.724999999999998	30.2
	14.0125	19.4		24.850000000000005	31.7
	14.274999999999999	20.3		24.41875	32.5
	14.44375	21.1		24.1375	33.2
	14.01875	19.1		24.168750000000003	30.7
	14.33125	18.6		23.8625	26
	14.1625	16.9		24.043750000000003	30
	14.612499999999999	19.3		24.593749999999996	30.5
	14.56875	18.2		25.506249999999998	26.9
	15.1375	17.2		26.55	26.3
	15.912499999999996	15.9		26.95625	25.2
	16.224999999999998	15.4		27.493750000000002	25.7
	16.481250000000003	15.9		26.70625	24.3
	16.55625	15.1		27.16875	26.3
	16.34375	16.4		26.793749999999996	28.7
	16.84375	17.6		27.918749999999996	30.2
	16.90625	17.4		27.51875	31
	16.9625	17.5		27.306250000000002	30.3
	17.46875	15		28.299999999999997	23.9
	17.69375	13.7		28.75625	26.4
	17.525	14.9		28.387500000000003	30.3
	17.0625	17.3		27.443749999999998	31.5
Jun.	17.256249999999998	17		27.25625	30
	17.39375	17.5		28.212500000000002	30.4
	17.88125	18.7		28.45625	33.5
	17.881249999999998	20.2		28.8375	34.3
	17.98125	21		29.443750000000005	34.8
	18.212500000000002	20.9		29.75625	36.6
	18.668750000000003	22.4		30.112500000000004	37
	18.64375	22.6		29.956249999999997	36.9
	18.793750000000003	22.4		30.625	36.7
	18.91875	20.9		29.2	35.9
	18.71875	21.7		29.025	36.9
	18.731250000000003	22.6		30.287499999999994	37.4
	19.25	23.5		30.56875	37.8
	19.249999999999996	22.7		29.60625	39.6
	19.2375	20.6		30.762500000000003	39
	19.33125	20.4		31.318749999999994	38.2
	19.375000000000004	18.9		30.712500000000002	36.4
	19.525	18.5		31.399999999999995	29.6
	20.08125	20.4		31.924999999999997	32.2
	20.05	21.5		30.525000000000002	33.3
	19.781250000000004	19.7		31.093750000000004	34
	20.224999999999998	19		31.643749999999997	32.4
	20.78125	19.8		32.26875	35.6
	19.825000000000003	21.1		30.743750000000006	39.2
	19.2	21.6		30.749999999999996	34.3
	19.46875	21.2		31.05	35.1
	20.0875	20.4		31.731250000000003	36.1
	20.318749999999994	19.3		32.125	33.7
	20.98125	21.1		31.05	35.7
	19.962500000000002	22.6		30.7	38.5
Jul.	19.575	21.2		31.29375	37.4
	19.875	20.5		30.612499999999997	35.1
	19.443749999999998	22.2		31.537499999999998	36.1
	19.88125	22.1		31.875000000000004	38.3
	20.0875	20.3		32.962500000000006	33.2
	20.462500000000002	20.6		32.974999999999994	30.9
	20.768749999999997	19.9		32.76875	30.6
	20.625	17.6		32.68125	29.1
	21.18125	17.6		33.0125	30.3
	20.931250000000002	16.6		31.356249999999996	29.6
	20.324999999999996	17.9		30.93125	32.3
	20.00625	18.6		30.54375	32.9
	19.487499999999997	19.1		31.131249999999994	33.9
	19.931250000000002	21.5		31.137499999999996	34.2
	20.39375	20.6		31.387500000000003	36.9
	20.275000000000002	22.4		30.7375	38.9
	20.43125	23.2		31.856250000000003	40.6
	21.012499999999996	22.1		33.150000000000006	40.3
	21	22.7		32.137499999999996	39.5
	20.76875		23.3	32.4375		40.5
	20.74375		23.1	32.231249999999996		40.7
	20.4125		23.8	31.56875		41.8
	20.174999999999997		25.4	32.337500000000006		42.6
	20.443749999999998		22.9	31.9125		41
	20.881249999999998		23.9	32.568749999999994		38.1
	20.893749999999994		22.7	32.29375		40.1
	20.98125		23.4	32.28125		38.8
	20.75625		20.5	31.756250000000005		32
	20.293750000000003		20.2	32.025		32
	20.306250000000002		20.4	32.106249999999996		32.5
	19.906250000000004		20.2	31.456249999999997		31.4
Aug.	20.262499999999996		20.3	31.90625		32.2
	19.962500000000002		20.3	31.4125		31.7
	20.000000000000004		20	32.34375		32.2
	20.256249999999998		20.1	31.650000000000002		31.4
	20.237499999999997		20.3	31.124999999999996		31.2
	20.05		20.4	30.5		31.4
	20.400000000000002		20.8	31.325000000000003		31.9
	20.53125		20.7	31.7875		31.8
	20.306250000000002		20.2	31.1125		30.8
	20.325000000000003		20.4	31.4625		31.3
	20.41875		20.1	30.993750000000006		30.9
	20.056250000000002		19.9	31.143749999999997		30.9
	19.918750000000003		19.9	30.36875		30.4
	19.037499999999998		19.3	29.94375		30.6
	18.69375		18.8	29.749999999999996		29.9
	18.90625		19	29.85		29.2
	19.243750000000002		18.7	30.05625		29.5
	18.312500000000004		17.9	28.437499999999996		28.6
	17.7875		18.1	27.775000000000002		27.9
	17.8625			27.906249999999996
	18.0875			28.037499999999998
	18.287499999999998			28.625
	17.943749999999998			27.45
	17.99375			27.70625
	17.993750000000002			27.88125
	17.950000000000003			28.124999999999996
	17.500000000000004			27.05
	17.35625			27.9625
	17.34375			28.031250000000004
	17.256249999999998			27.91875
	17.1125			27.36875
Sep.	17.868750000000002			27.51875
	17.96875			26.968749999999993
	17.3125			26.037499999999994
	16.687499999999996			25.437500000000004
	16.187500000000004			24.081249999999997
	16.04375			24.75
	15.71875			25.118750000000002
	15.4625			24.30625
	15.156249999999998			23.974999999999998
	14.712499999999999			23.618750000000002
	14.987499999999999			23.631249999999998
	14.475000000000001			23.812499999999996
	14.6375			24.112499999999994
	15.00625			24.487499999999997
	14.781250000000002			23.8375
	14.381250000000001			22.625000000000004
	14.39375			22.275
	14.212499999999999			22.65625
	14.287500000000003			23.068749999999998
	14.406250000000002			22.431250000000002
	14.05625			22.424999999999994
	13.774999999999999			21.33125
	13.0125			21.18125
	13.475			21.65625
	13.356250000000001			21.362499999999997
	13.66875			21.218749999999996
	13.424999999999999			21.58125
	13.16875			21.225000000000005
	13.106249999999998			20.625
	12.65			20.64375
Okt.	12.581249999999999			20.45
	12.625000000000002			19.9875
	11.74375			19.90625
	11.7875			19.975
	12.04375			20.381249999999998
	12.068749999999998			20.125000000000004
	12.525			19.6375
	11.799999999999999			19.318749999999998
	11.306249999999999			19.475
	11.656249999999998			19.28125
	11.881250000000001			19.012499999999996
	11.56875			18.943749999999998
	11.70625			19.3
	11.31875			18.6375
	10.5875			18.856250000000003
	10.45			17.70625
	10.2875			17.71875
	10.21875			17.449999999999996
	10.49375			17.5375
	10.581250000000002			17.825000000000003
	10.506250000000001			17.59375
	10.918750000000001			17.49375
	10.550000000000002			16.799999999999997
	9.9			16.85625
	9.31875			16.2375
	9.10625			16.075
	8.88125			15.531249999999998
	8.75625			15.39375
	8.8125			15.006250000000001
	8.44375			14.4625
	8.23125			14.168750000000001
Nov.	8.512500000000001			14.074999999999998
	8.0125			13.456249999999999
	6.74375			12.912500000000001
	6.40625			12.41875
	6.637500000000001			12.575000000000001
	5.906250000000001			11.968749999999998
	5.843750000000001			11.75
	6.1			11.812499999999998
	6.274999999999999			11.656249999999998
	5.906249999999998			11.768749999999999
	5.5375			11.28125
	4.80625			10.962500000000002
	4.40625			10.637499999999998
	4.4125000000000005			10.20625
	4.45625			10.08125
	4.143750000000001			9.4625
	4.2875000000000005			9.899999999999999
	4.96875			9.450000000000001
	4.2749999999999995			9.1125
	3.26875			8.937500000000002
	3.5250000000000004			9.19375
	4.10625			9.49375
	3.00625			9.45625
	3.175			9.2625
	3.45			8.425
	2.75			8.9125
	1.9937500000000001			8.88125
	2.03125			8.275
	2.36875			8.1875
	1.9687499999999998			8.1625
Dez.	2.5437499999999997			8.34375
	2.525			8.037500000000001
	2.6			8.337499999999999
	1.6749999999999998			7.75
	1.85			8.09375
	2.19375			7.981249999999998
	2.81875			8.35625
	3.675			9.0625
	3.24375			9.70625
	3.75			9.09375
	3.175			9.53125
	2.7499999999999996			8.96875
	2.8250000000000006			8.8625
	2.2750000000000004			8.19375
	2.2375000000000003			8.306249999999999
	2.10625			7.818749999999999
	1.3266666666666667			7.793333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

41°C

Höchste Temperatur

31 Jul. 26

-1°C

Niedrigste Temperatur

8 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust39.9°C

Kältester MonatJanuar2.87°C

Nassester MonatJuli3.37mm

Windigster MonatAugust25.2km/h

Ferrara 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 Ferrara?

August ist historisch gesehen der heißeste Monat in Ferrara, mit durchschnittlichen Höchsttemperaturen von etwa 32°C. Während der stärksten Hitzewellen wurden Temperaturen von 41°C am 2017-08-04 erreicht.

2. Was ist der historisch kälteste Monat in Ferrara?

Januar ist der kälteste Monat in Ferrara, mit durchschnittlichen Tiefstwerten von etwa 2°C. Der Allzeit-Rekordtiefstwert von -8°C wurde am 2012-02-09 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Ferrara beträgt etwa 837.2mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Ferrara verzeichnet historisch gesehen etwa 164.2 Regentage pro Jahr. Mai hat die meisten Regentage mit durchschnittlich 18.8 Tagen.

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

Die höchste jemals in Ferrara gemessene Temperatur beträgt 41°C am 2017-08-04.

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

Die niedrigste jemals in Ferrara gemessene Temperatur beträgt -8°C am 2012-02-09.

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

Ferrara erlebt seine stärksten Winde während März. Der historische Böenrekord von 42.3 km/h wurde am 2016-02-28 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Ferrara im Dezember etwa 79.3% und fällt im August auf etwa 59.5%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Ferrara 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

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

Ferrara 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

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