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

Borca Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.8437499999999999	-2.6		6.206250000000001	4.3
	-0.48125	1.3		6.800000000000001	7.9
	-0.4	1.1		5.5375000000000005	5
	-0.3812500000000002	-0.4		6.025	2.9
	0.03750000000000009	-0.7		6.325	0.7
	0.7187499999999999	-1.3		6.26875	0.1
	-0.8500000000000001	-2.5		5.10625	-0.9
	-1.8312500000000007	-10.6		5.05	-2.4
	-0.031250000000000056	-13.8		5.550000000000001	0.1
	-0.30000000000000004	-4.7		5.356250000000001	0.6
	-0.6125	-7.5		4.549999999999999	-3.7
	-1.60625	-10		3.9062499999999996	-2.3
	-1.6437500000000003	-9.6		4.83125	0.8
	-1.2562499999999999	0		5.075000000000001	2.3
Jan.	-0.5374999999999999	0.4		5.06875	4.5
	-1.3874999999999997	2		4.624999999999999	8.6
	-0.50625	0		5.925	4.2
	0.23750000000000007	-2.9		6.075000000000001	1.2
	-0.8250000000000001	-3.8		5.2	0.7
	-0.6812499999999999	-3.3		5.3187500000000005	2.3
	-0.2874999999999998	-2.5		4.531249999999999	2.9
	-1.1562499999999998	-1.5		4.50625	3.4
	-0.99375	-1		4.96875	5.8
	-2.0374999999999996	0.6		3.725	8.2
	-2.5124999999999997	4.2		3.3	11.3
	-2.425	4.3		2.9875	9
	-2.7624999999999997	3		3.45625	8.2
	-2.9125000000000005	2.5		4.21875	10
	-2.2875	5.3		4.5874999999999995	7.8
	-1.6375000000000004	4.7		5.575	6
	-1.1437499999999994	4.2		5.4937499999999995	5.3
	-1.29375	-0.7		5.8375	4.7
	0.3249999999999999	-1.6		7.15	3.1
	0.2875	-1.3		7.26875	6.6
	0.06250000000000021	1.7		6.89375	7.1
	-0.3124999999999997	2.5		6.6312500000000005	8.2
	-0.5187499999999999	2.9		7.125	10.2
	0.09374999999999997	6.5		7.031249999999999	7.6
	-0.19375000000000003	7.3		6.125000000000001	11.7
	-0.38750000000000007	2.3		7.1312500000000005	10.3
	-0.6187499999999999	-0.4		7.2625	4.6
	0.30625	0.9		7.6125	13.8
	-0.3875000000000001	5.3		6.0375000000000005	11.8
	-0.7124999999999999	5.3		5.70625	9.4
	-0.3687499999999998	4.2		7.168749999999999	13.5
Feb.	0.1687499999999999	1.2		7.806249999999999	10.6
	0.35625000000000007	-0.7		8.3	7.1
	0.93125	0.8		9.518749999999999	4.5
	2.2375000000000003	0		9.212499999999999	5.8
	1.8750000000000002	0.7		9.456249999999999	10.6
	2.0250000000000004	2.5		8.6	8
	1.45625	1.9		9.2875	4.7
	1.7562500000000003	2.1		9.625000000000002	9.2
	2.4249999999999994	4.9		10.281250000000002	12.7
	2.7062500000000003	5.6		10.118749999999999	10.2
	2.29375	3.4		9.825000000000001	11.1
	1.7499999999999998	3.3		9.53125	10.4
	1.8875	2.5		9.18125	11.5
	1.6062500000000002	3		9.29375	12.5
	2	3.1		10.11875	14.2
	2.7062500000000003	5.3		10.3625	14.5
	2.95625	6.7		10.69375	15
	2.7124999999999995	6.2		11.8875	15.8
	2.4562500000000003	8.5		9.993749999999999	15.9
	2.6125000000000003	7.3		10.78125	15.9
	3.1937499999999996	6.2		11.3375	16
	3.2062500000000003	6.2		10.850000000000001	15.4
	3.15	6.4		11.43125	13.8
	3.4749999999999996	6.7		11.762499999999998	15.7
	3.7749999999999995	6.4		11.700000000000001	16.8
	3.7687500000000003	6.5		11.981250000000001	16.9
	3.925	7.3		13.425	16.8
	4.53125	7.9		13.806250000000002	17
Mär.	4.0562499999999995	7.5		12.750000000000004	15.3
	4.66875	5.3		11.925	15.8
	3.59375	7		12.9375	9.7
	3.4250000000000003	8.2		13.481250000000003	12.6
	3.48125	6.4		12.506250000000001	11.2
	3.5000000000000004	4		13.412499999999996	13
	3.9875000000000003	4.7		14.2875	14
	4.799999999999999	6.5		15.225	12.8
	4.84375	6		14.331249999999999	12.7
	4.7437499999999995	6.3		15.43125	16.3
	4.73125	8.3		13.83125	17.4
	4.7375	8.2		13.6875	18.3
	4.675000000000002	8.4		14.09375	13
	5.15	5.7		14.106250000000001	10
	5.324999999999999	5.5		15.918749999999998	9
	7.36875	3.2		18.799999999999997	5.8
	8.137499999999998	3.4		18.387500000000003	9.9
	7.737500000000001	5.7		17.2375	12.9
	7.29375	6.4		17.306250000000002	13.5
	5.975	9.1		15.093750000000002	12.6
	5.675	5.7		16.50625	17.5
	7.043749999999999	8.3		16.55	19.3
	6.61875	9.8		15.681250000000002	22.3
	6.4937499999999995	11.2		15.51875	17.3
	6.993749999999999	6		17.362499999999997	13.9
	7.34375	3.8		17.6	10.7
	6.48125	2.7		16.950000000000003	13.5
	6.53125	7		17.531249999999996	13.2
	7.5874999999999995	5.1		18.881250000000005	16.9
	7.862500000000001	7.5		18.6625	18.7
	8.3625	10.9		17.887500000000003	17.3
Apr.	7.6937500000000005	9.7		17.56875	20.7
	7.875	10.3		17.962500000000002	22.7
	7.425	13.1		18.18125	21.8
	7.299999999999999	10.6		16.30625	18.6
	7.606250000000001	8.1		16.637500000000003	21.4
	7.775	10.5		18	17.6
	7.6625000000000005	8.6		19.18125	16.6
	8.5625	5.4		19.499999999999996	14.7
	8.931249999999999	4.7		19.881249999999994	17.5
	10.037499999999998	6.6		21.0125	19.3
	10.19375	8.4		21	22.6
	10.212499999999999	10.1		20.431250000000002	22.3
	9.862499999999999	7.3		20.18125	19.6
	9.81875	8.9		20.712500000000002	20.9
	9.53125	9.6		21.08125	16.4
	10.718750000000004	6.8		21.84375	14.6
	11.64375	3.8		23.1375	15.5
	12.71875	5.3		23.618750000000002	17.6
	12.756250000000001	7.3		22.60625	17.9
	12.006250000000001	7.7		21.093750000000004	23.3
	11.762500000000001	10.5		22.349999999999998	26.7
	11.35625	13.1		22.325000000000003	25.9
	11.525	14.9		21.168749999999996	21.4
	11.031250000000002	11.4		20.25	23.9
	10	14.4		20.525000000000002	22.4
	10.562499999999998	12.8		21.7875	25.1
	11.974999999999998	14.4		23.112499999999997	25.1
	12.2	7.6		23.20625	20.4
	11.956249999999997	5.9		22.525000000000002	15.8
	10.875	7.3		21.21875	20.3
Mai	11.687499999999998	9.9		20.712500000000002	23.2
	10.59375	11.7		19.593749999999996	19.3
	11.100000000000001	10.2		19.518750000000004	12.5
	10.5	8.4		20.587500000000002	19.2
	10.65625	10		22.875	20.8
	12.225000000000001	10.9		23.95625	22.9
	12.975	11.5		24.331249999999997	22.8
	13.69375	14.6		24.10625	24.4
	13.387500000000001	13.5		23.612500000000004	25.7
	13.162500000000001	12.9		23.449999999999996	26.9
	13.175	13.9		23.462500000000002	29
	13.175	16.9		22.993749999999995	29.2
	13.487499999999999	17.1		23.0625	30.4
	13.137500000000001	14.5		22.968750000000004	25.3
	12.975	10.6		22.94375	23.6
	12.575	11.6		23.11875	26.4
	12.63125	14		23.281250000000004	26.6
	13.60625	15.1		23.35625	25
	14.0375	13		24.51875	23.6
	14.606250000000001	15.2		24.675	29.5
	14.7625	12.8		25.39375	21.4
	15.481249999999998	13.6		26.437499999999996	27.7
	15.825000000000001	14.6		26.4625	24.8
	16.156249999999996	16		27.18125	27.6
	16.299999999999997	16.3		27.6875	28.9
	15.893749999999999	16.4		27.587499999999995	30.2
	16.918750000000003	17.6		27.69375	31.5
	16.95	13.2		27.812500000000004	19.7
	16.693749999999998	12.4		27.256249999999998	22.6
	17.2625	12.1		27.86875	23.3
	16.400000000000002	15		26.1375	30.9
Jun.	15.593749999999996	15.2		26.0625	21.9
	16.331249999999997	12.2		27.275	26.7
	16.475	14.8		26.775	28.3
	16.8875	16.9		27.81875	29.3
	17.0625	17.2		28.51875	30
	17.237499999999997	18.7		28.9	32.5
	17.450000000000003	20.5		29.125	33.4
	17.4375	19		29.156249999999996	34
	18.431250000000002	18.8		29.718749999999993	30.5
	17.606249999999996	18.9		28.09375	32.6
	17.3125	21.6		27.974999999999998	33
	17.2	20.4		27.293750000000003	35.1
	17.412499999999998	20.6		27.449999999999996	36.2
	17.312499999999996	22.7		26.874999999999996	37.9
	17.19375	22.3		28.4	40
	17.89375	24.3		29.787500000000005	40.4
	17.331249999999997	22.6		28.906250000000004	31.8
	17.181250000000002	18.7		29.568749999999998	27.2
	17.849999999999998	18.3		29.06875	30.4
	18.0125	16		29.381250000000005	28.1
	17.8625	15.6		29.54375	29.2
	18.068749999999998	15.9		30.618750000000002	28.6
	18.468749999999996	16.1		31.043749999999996	31.2
	18.337500000000002	17.6		30.218750000000004	26.8
	17.856250000000003	13.8		28.637500000000003	29.4
	17.8875	13.2		29.46875	30.6
	18.00625	17.9		29.787500000000005	34.8
	18.743750000000002	17.6		30.474999999999998	29.9
	18.5625	15.7		31.093749999999993	31.1
	18.856250000000003	16.5		31.193749999999998	32.9
Jul.	18.806250000000002	21.4		31.3875	36.7
	18.00625	21		29.731250000000003	36.1
	18.4625	20.7		29.349999999999998	37.8
	17.956249999999997	19.6		29.70625	38.5
	18.56875	18.3		30.193749999999994	36.6
	19.087500000000002	16.4		31.00625	30.7
	19.34375	16.9		31.912499999999998	33.8
	19.46875	16.3		31.256249999999998	27.8
	19.531250000000004	13.7		31.037500000000005	30
	19.43125	13.6		31.31875	26
	19.3	12.3		30.31875	29.6
	18.83125	16.5		29.849999999999998	36.2
	18.300000000000004	16.8		28.7125	32.8
	18.187499999999996	18.9		30.08125	33.1
	19.443749999999998	18.7		31.450000000000003	36
	19.65	18.7		30.699999999999996	38.2
	18.9875	22.3		29.643749999999994	38.7
	18.80625	22.6		30.918750000000003	38.3
	19.25625	22.1		30.987499999999997	38.3
	19.31875	22.3		31.618750000000002	38.9
	19.76875	21.9		31.3	39.4
	19.662500000000005	22.6		31.475000000000005	39.3
	19.525	23.5		31.431250000000002	39.5
	19.375	23		31.106249999999996	39.4
	19.706249999999994		20.9	31.59375		36.8
	19.712500000000002		20.6	31.575		37.2
	19.775000000000002		21.6	31.625000000000007		39.6
	19.21875		23.1	31.300000000000004		41.5
	18.3875		22.2	31.3125		41
	19.05		22.7	30.9875		39.7
	18.737499999999997		21.3	30.693749999999998		39.1
Aug.	19.1875		22.5	31.225		40.5
	19.187500000000004		19.6	30.974999999999998		31.2
	18.93125		18.7	30.456250000000004		30.4
	18.5875		18.5	30.51875		30.5
	18.499999999999996		18.3	32.175000000000004		31.8
	18.51875		18.6	30.106249999999996		30.2
	18.400000000000002		18.3	29.4		30.2
	18.174999999999997		18.1	29.706250000000004		29.4
	18.03125		18.1	30.1875		30.2
	18.425		18.5	30.349999999999998		30.3
	18.737499999999997		18.5	30.5625		30.3
	18.268749999999997		18.2	31.1875		31.6
	18.625000000000004		18.5	31.125		30.4
	18.35625		18.3	29.85625		30.4
	17.531250000000004		17.8	28.931250000000002		29.6
	17.01875		17.2	29.83125		29.5
	17.543750000000003		17.4	28.7625		28.8
	17.575		17.2	29.599999999999998		29
	17.468750000000004		17.2	28.75		28.7
	16.54375		16.4	27.043750000000003		27.5
	16.325		16.6	27.275		27.7
	16.35		16.2	27.4875		27
	16.0375		15.9	26.956249999999997		26.3
	15.887499999999998		15.9	27.3125		27.3
	16.031249999999996			27.925
	16.4375			27.900000000000002
	16.481249999999996			27.331249999999997
	16.462500000000002			27.3125
	16.412499999999998			27.099999999999998
	15.893749999999999			27.624999999999993
	15.61875			27.6
Sep.	15.675			25.98125
	15.762500000000005			26.34375
	14.8875			25.94375
	14.6625			25.037499999999998
	14.6375			24.843749999999996
	13.5875			22.89375
	13.31875			22.037500000000005
	11.99375			22.95
	12.59375			23.568749999999998
	12.393750000000002			23.16875
	12.756249999999998			23.575
	13.61875			23.34375
	12.774999999999999			22.481250000000003
	12.8875			22.74375
	12.975			22.1125
	11.950000000000003			21.050000000000004
	11.99375			21.3625
	11.06875			20.75
	10.7125			21.356250000000003
	11.34375			20.306250000000002
	10.65			20.556250000000002
	10.91875			19.049999999999997
	10.33125			19.5125
	9.46875			18.662499999999998
	9.250000000000002			18.1125
	9.94375			18.456250000000004
	10.43125			19.818749999999998
	10.399999999999999			19.625
	10.4125			19.40625
	10.4125			18.78125
Okt.	9.924999999999997			18.91875
	10.143749999999999			18.743750000000002
	9.45625			18.631249999999998
	9.43125			18.49375
	9.06875			18.53125
	9.537500000000001			19.318749999999998
	9.28125			18.76875
	9.475000000000001			18.5125
	9.5375			18.15625
	9.30625			18.806250000000002
	9.437499999999998			17.91875
	9.73125			17.924999999999997
	8.962499999999999			18.3125
	9.1			17.306250000000002
	8.5875			17.706249999999997
	7.737500000000001			16.35
	7.8187500000000005			15.6
	7.4625			16.54375
	7.843749999999999			16.4
	8.793750000000001			17.5875
	8.59375			16.95
	8.46875			17.29375
	8.556250000000002			15.799999999999999
	8.74375			15.731250000000001
	8.74375			15.449999999999998
	7.925000000000001			15.418749999999998
	7.593750000000001			14.712499999999999
	6.86875			14.14375
	6.61875			14.23125
	6.956250000000001			14.5
	6.71875			13.19375
Nov.	6.0562499999999995			12.8875
	6.200000000000001			12.425
	4.918749999999999			12.524999999999999
	5.11875			11.343750000000002
	4.831250000000001			11.625000000000002
	5.40625			11.79375
	4.7124999999999995			11.075
	3.81875			9.456249999999999
	3.1125000000000003			9.837499999999999
	3.1375			9.20625
	2.6875000000000004			9.3125
	2.94375			8.443750000000001
	2.09375			8.275
	2.51875			7.799999999999999
	1.9249999999999998			8.20625
	1.6375000000000002			7.0875
	1.5437500000000002			7.31875
	2.28125			8.443750000000001
	1.7875			7.862500000000001
	1.675			7.0875
	1.8375			7.312500000000001
	1.7437500000000001			7.025000000000001
	2.04375			7.781250000000002
	2.3687500000000004			7.25625
	1.38125			8.468750000000002
	1.6624999999999996			6.593750000000001
	0.8687499999999999			6.51875
	1.1312499999999999			7.049999999999999
	1.18125			6.6000000000000005
	-0.16875			5.325
Dez.	0.45625000000000004			6.118749999999999
	0.6375			6.4625
	0.22499999999999992			6.012499999999999
	0.05625000000000002			5.700000000000001
	-0.08124999999999988			5.85625
	0.50625			6.18125
	0.58125			6.249999999999999
	1.35625			7.25
	1.6687499999999997			7.374999999999999
	2.1624999999999996			8.318750000000001
	1.8312499999999998			8.212499999999999
	1.4125			7.54375
	1.4437499999999999			6.674999999999999
	0.8875000000000001			6.3
	-0.31875			5.2875000000000005
	-0.9437499999999999			4.3375
	-1.0666666666666667			4.986666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

40°C

Höchste Temperatur

30 Jun. 26

-14°C

Niedrigste Temperatur

9 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust39.01°C

Kältester MonatJanuar-1.45°C

Nassester MonatJanuar3.05mm

Windigster MonatFebruar22.63km/h

Borca 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 Borca?

August ist historisch gesehen der heißeste Monat in Borca, mit durchschnittlichen Höchsttemperaturen von etwa 31°C. Während der stärksten Hitzewellen wurden Temperaturen von 42°C am 2025-07-26 erreicht.

2. Was ist der historisch kälteste Monat in Borca?

Januar ist der kälteste Monat in Borca, mit durchschnittlichen Tiefstwerten von etwa -1°C. Der Allzeit-Rekordtiefstwert von -20°C wurde am 2012-02-10 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Borca beträgt etwa 699.3mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Borca verzeichnet historisch gesehen etwa 172.05 Regentage pro Jahr. Mai hat die meisten Regentage mit durchschnittlich 19.2 Tagen.

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

Die höchste jemals in Borca gemessene Temperatur beträgt 42°C am 2025-07-26.

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

Die niedrigste jemals in Borca gemessene Temperatur beträgt -20°C am 2012-02-10.

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

Borca erlebt seine stärksten Winde während Februar. Der historische Böenrekord von 43 km/h wurde am 2020-12-07 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Borca im Januar etwa 81.3% und fällt im August auf etwa 49.8%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Borca 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

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

Borca 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

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