Lancienne Lorette السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lancienne Lorette رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-11.125000000000002	-18		-4.456249999999999	-12.6
	-13.268749999999999	-19.6		-6.399999999999999	-12.3
	-14.225000000000001	-18.7		-7.175	-15.6
	-13.612500000000002	-18.6		-5.250000000000001	-13.8
	-14.568749999999998	-20.3		-5.49375	-13
	-15.387500000000001	-15.1		-7.2625	-6.9
	-15.468749999999998	-7.2		-7.893750000000001	-1.3
	-15.581249999999999	-7.3		-6.93125	-0.6
	-13.149999999999999	-2.1		-5.550000000000001	3.1
	-13.774999999999999	-6.5		-3.6250000000000004	2.4
	-13.193749999999998	-7.7		-4.356249999999999	-5.8
	-12.2	-9		-4.300000000000001	-6.4
	-13.29375	-3.7		-4.862500000000001	-0.6
	-15.906249999999998	-1.2		-7.23125	1.3
يناير	-16.749999999999996	-13		-8.28125	0.7
	-15.25625	-12.5		-6.04375	-8.5
	-16.15625	-13.4		-7.6937500000000005	-3.3
	-15.75625	-10.7		-5.46875	-0.2
	-15.30625	-14.8		-6.6875	-6.2
	-16.475	-21.3		-7.674999999999999	-9.1
	-18.9	-18.6		-11.875	-7.7
	-18.9875	-7.7		-9.712500000000002	-2.9
	-17.137500000000003	-16.8		-7.73125	-9
	-15.793750000000001	-24.4		-7.4312499999999995	-18.6
	-15.000000000000002	-25.3		-6.48125	-17.4
	-15.137500000000003	-16.6		-6.98125	-12.4
	-14.79375	-19.6		-5.01875	-11.1
	-14.637500000000001	-22.2		-5.29375	-10
	-16.043750000000003	-21.6		-7.831250000000002	-8.9
	-16.912499999999998	-17.7		-8.6375	-12.8
	-18.14375	-20.5		-8.687499999999998	-12
	-17.76875	-19.6		-8.54375	-6.8
	-17.54375	-19.3		-7.987499999999999	-7.2
	-18.36875	-19.8		-7.3187500000000005	-8.2
	-15.725	-12.6		-6.6812499999999995	-5.4
	-17.5625	-16.6		-7.19375	-6.7
	-17.112499999999997	-23.6		-7.2124999999999995	-9.2
	-16.0375	-14.5		-6.88125	-7.6
	-15.35	-20.9		-6.093750000000002	-11
	-15.237499999999999	-19.7		-7.51875	-6.7
	-14.35	-17.3		-5.7875000000000005	-6
	-15.737499999999997	-8.3		-7.04375	-3
	-15.687500000000002	-11.3		-6.7124999999999995	-2.8
	-16.2	-14.7		-7.9375	-5.2
	-16.106250000000003	-11.2		-7.43125	-5.8
فبراير	-15.037500000000001	-17.2		-6.025	-4.9
	-13.212500000000002	-12.4		-2.8499999999999996	-1.2
	-13.45625	-2.2		-5.2124999999999995	0.3
	-15.606250000000001	-8.5		-4.8625	-0.4
	-13.443749999999998	-16.1		-3.825	-2.5
	-12.862499999999999	-15.8		-4.83125	-7.3
	-14.362499999999999	-14		-3.181250000000001	-5.8
	-11.437500000000002	-16.4		-2.8374999999999995	-0.4
	-11.13125	-10.8		-1.8687500000000001	-5.2
	-11.687499999999998	-11.4		-2.6187500000000004	-6.9
	-11.23125	-13.7		-3.0375	-4
	-14.299999999999997	-13.8		-5.112500000000001	-2.8
	-13.7375	-15		-3.131249999999999	-3.2
	-11.256249999999998	-5.3		-2.9000000000000004	2
	-11.962500000000002	-14.5		-2.8375	-10
	-13.0875	-19.1		-3.9312499999999995	-10.5
	-14.4875	-13.6		-4.9375	-0.8
	-12.1875	-2.9		-4.075	0.8
	-11.45625	-13.4		-3.6250000000000004	-1.4
	-11.074999999999998	-12.4		-2.33125	-5.6
	-10.018749999999999	-3		-2.3687499999999995	3.6
	-9.425	0.7		-1.1125000000000003	3.3
	-9.3875	0.5		-0.23125	5.5
	-9.125000000000002	-1.9		0.16250000000000012	4.4
	-6.85	-8		0.8937499999999998	-2.1
	-7.887500000000002	-8		-0.41874999999999996	-4.1
	-9.431249999999999	-10.2		-0.5437499999999998	-3
	-8.431249999999999	-5.1		0.21875	-0.9
مارس	-6.887500000000001	-7.3		1.1312499999999996	-2.1
	-8.668750000000001	-2.7		0.33124999999999993	5.8
	-8.2625	-11.5		-0.0687500000000002	5.8
	-8.724999999999998	-15		0.11874999999999981	-8.2
	-8.975000000000001	-9.9		-0.6687500000000001	2.4
	-7.3875	-4.1		1.6	-0.5
	-6.2250000000000005	-3.3		3.2562500000000005	2.1
	-8.512500000000001	-6.3		1.8625000000000003	-2
	-9.206249999999999	-6.2		0.39999999999999986	-0.2
	-8.08125	-5.8		0.76875	0.7
	-7.4125	-5.8		1.825	-2.8
	-6.6312500000000005	-6.9		1.15625	1.5
	-7.25	-10.4		1.4687499999999998	-2
	-5.975	-13.7		2.8187500000000005	-6.6
	-5.387499999999999	-10.7		2.7875	-1.6
	-5.3062499999999995	-5.8		3.4437499999999996	6.4
	-4.7250000000000005	-1.1		4.15625	2.1
	-4.5	-4.4		3.325	0.4
	-5.493749999999999	-5.2		3.849999999999999	3.8
	-4.1625	-0.5		5.000000000000001	1
	-5.043749999999999	-5.5		3.8437499999999996	1.7
	-5.03125	0.2		2.4937500000000004	7.4
	-4.6875	-8.7		3.775	0.5
	-3.74375	-14.1		4.612499999999999	1.3
	-3.6	-12.9		4.21875	5
	-3.7937499999999997	-4.8		5.5562499999999995	13.5
	-2.9000000000000004	4.4		7.1	10.6
	-1.8437500000000007	-3.2		6.431250000000001	6
	-1.6187500000000001	-6		7.69375	9.1
	-0.8437500000000001	2.9		9.21875	7.4
	-0.6312500000000001	3.2		8.912499999999998	10.1
أبريل	-1.4937500000000004	3.8		8.518749999999999	7.6
	-1.40625	0.9		7.525	3.7
	-1.2187500000000002	1.4		7.575	16.9
	-1.60625	2.6		7.84375	20.4
	-0.4875	0.8		9.3875	11.6
	-0.5187499999999999	-2.8		8.54375	0
	-0.40624999999999994	-6.6		8.225	9.2
	-0.31875000000000003	0.2		9.243749999999999	13.3
	-0.49375000000000013	1.4		8.600000000000001	7.9
	-0.7749999999999999	0.3		9.675	6.9
	0.08749999999999997	-0.5		10.187499999999998	13.7
	0.64375	1.3		9.13125	20.5
	0.3062500000000001	4.2		9.38125	24.7
	1.4625000000000004	4.9		12.36875	24.6
	2.125	5.6		11.274999999999999	23.5
	1.56875	8.1		11.656250000000002	10.9
	1.7875	1.7		12.2625	7.2
	3.80625	-0.3		14.375	10.6
	4.1375	0.8		12.774999999999999	10.7
	4.231249999999999	0.3		14.318749999999998	9.9
	4.49375	4.3		13.9875	22.3
	4.4625	5.2		15.225	10.6
	4.2875	2.8		15.7625	11
	3.443749999999999	2.4		14.893749999999999	11.6
	3.3125000000000004	0.9		13.48125	19.1
	4.50625	7.3		13.756249999999998	19.6
	3.58125	2.8		13.712499999999999	11.8
	4.03125	1		15.53125	11.1
	3.9875000000000003	0.3		16.31875	19.2
	5.79375	7.2		17.20625	11.3
مايو	6.706250000000001	6.7		17.487499999999997	20.6
	6.406249999999999	9.2		16.29375	26
	6.0687500000000005	8.9		16.11875	20.1
	6.306250000000001	5.6		17.681250000000002	16.2
	6.725000000000001	9.1		17.768749999999997	14.4
	7.762499999999999	5.5		18.60625	21
	8.00625	2.8		19.343749999999996	12.8
	8.831249999999999	1.9		19.40625	18.8
	8.6875	4.2		18.19375	20.3
	7.95	6.5		17.856250000000003	25.1
	8	10.1		19.8	14.9
	9.6375	10.7		20.48125	26.7
	8.65	9.7		19.318749999999998	19.3
	8.8375	6.7		20.26875	10.1
	9.856250000000001	7		20.125	14.6
	10.45	5.3		21.062499999999996	18.9
	10.0375	5.9		20.025	15
	9.6625	5.7		19.349999999999998	18.9
	8.85	8.5		18.131249999999998	25.8
	9.2625	9.7		18.087499999999995	30.3
	9.456249999999999	13.2		18.65	30.5
	9.60625	13.9		18.74375	23.7
	9.39375	11.7		20.125	20.4
	9.9875	11		20.2	19.2
	11.10625	8.5		20.087500000000002	28.7
	11.03125	14.2		19.79375	30.7
	10.049999999999999	13.3		19.481249999999996	32
	10.256249999999998	15.5		21.018750000000004	28.1
	11.1375	14.3		21.387499999999996	20.3
	11.081250000000002	11.9		20.30625	29
	10.275	11.7		18.95	24.8
يونيو	9.618750000000002	12.9		21.3	22.8
	10.05	9.9		20.475	25
	10.725	11.3		21.8375	26.7
	12.081250000000002	12.7		22.512499999999996	18.4
	12.64375	12.7		22.85625	18.2
	12.424999999999999	12.7		22.6	23.4
	12.55	13.8		23.2875	23.8
	12.15	13.5		23.15	26
	13.581250000000002	14.5		23.287499999999998	22.3
	14.275	12.6		23.218749999999996	21.9
	13.106250000000003	12.7		22.55	26.7
	12.481250000000001	14.5		22.093749999999996	18.1
	12.912499999999998	15		23.2	24.3
	13.262500000000001	13.1		21.11875	28.4
	13.368749999999999	11.9		21.931250000000006	29.6
	13.731250000000001	14.3		21.83125	29.7
	14.568749999999998	18.1		23.200000000000003	32.8
	14.9625	22.1		23.924999999999997	33.2
	14.6625	19.4		23.499999999999996	32.9
	14.087500000000002	18.5		24.3375	28.2
	14.887500000000001	14		25.8375	26.2
	15.787500000000001	13.1		25.1	30.5
	14.4625	14.3		23.581250000000004	31
	14.437499999999996	15.7		23.95625	32
	14.631250000000001	20.3		23.906249999999993	29.6
	14.481250000000001	17		23.368750000000002	28.7
	14.468750000000002	13.2		23.868750000000002	28
	14.618750000000002	12.6		24.3875	31
	15.10625	14.9		25.312499999999996	30.6
	15.875000000000002	16.2		25.281249999999996	25.4
يوليو	15.56875	16.9		25.80625	27.8
	16.09375	13.9		25.70625	20.7
	15.956250000000002	11.8		25.918750000000003	26.7
	15.4375	12.5		24.125000000000004	18.8
	15.374999999999998	13		24.618750000000006	21.8
	14.937500000000002	10.7		24.493750000000002	27
	14.981250000000001	13.9		23.787499999999994	31.8
	13.762500000000001	15.1		23.587500000000002	26
	14.34375	11.7		23.63125	25.1
	14.71875	11.6		24.0875	29
	14.506250000000001	13.7		24.106250000000003	31.3
	14.643749999999999	15.5		23.54375	32
	15.53125	15.4		24.5	30.9
	15.0875	16.9		25.118750000000002	28.3
	15.25	16.6		23.993750000000002	25.2
	14.668750000000001	14.9		23.931250000000002	24.7
	14.193749999999998	14.1		23.75625	24.7
	14.31875	14.4		24.193749999999998	30.5
	14.250000000000002	18.1		24.287499999999998	30.5
	15.25	17.1		24.4625	23.9
	15.981250000000001		14	24.231250000000003		27.7
	14.712499999999995		14.4	24.325		27.2
	14.893749999999999		15.7	24.368750000000002		27.9
	14.10625		17.9	22.74375		26.6
	13.862500000000002		17	22.493750000000002		28
	14.23125		16.6	23.2		27.5
	14.056249999999999		16.3	23.531249999999996		22.9
	14.743749999999999		13.5	23.806249999999995		26.2
	15.35		15.4	24.19375		24
	15.143749999999999		14.9	23.775		24.5
	14.156250000000002		14.3	23.35		23.4
أغسطس	13.518749999999999		14	22.88125		23.7
	13.700000000000001		14	22.931249999999995		23.7
	13.63125		14.2	23.275000000000002		23.8
	14.437500000000002		14.7	22.81875		22.7
	14.50625		14	23.39375		23.3
	14.100000000000003		14.2	24.074999999999996		24.2
	14.5125		14.9	23.400000000000002		23.5
	14.306249999999999		14.5	22.7		22.8
	13.531250000000002		13.9	21.8625		22.5
	13.693749999999998		14.1	23.425000000000004		24.1
	14.325000000000001		14.3	23.074999999999996		23.1
	14.324999999999998		14	22.687500000000004		22.4
	13.268750000000002		12.8	22.40625		22.4
	12.325		11.8	22.525000000000002		21.5
	13.05		12.6	21.8125		21.3
	12.9625		12.9	21.418750000000003		21.9
	12.431250000000002		12.4	21.849999999999998		21.5
	12.299999999999999		11.5	21.21875		21.5
	12.4375		12.5	22.05		21.6
	13.381249999999998		13.1	22.243750000000002		22.7
	11.737499999999999			21.374999999999996
	12.131249999999998			21.049999999999997
	11.93125			21.09375
	11.956250000000002			20.3125
	11.356250000000001			20.518749999999997
	10.9875			19.806250000000002
	10.706250000000002			19.431250000000002
	10.63125			19.306249999999995
	10.006250000000001			19.925
	10.80625			19.987499999999997
	11.0875			19.01875
سبتمبر	10.0125			18.5125
	9.1375			17.83125
	9.1			19.94375
	9.568750000000001			18.99375
	9.131250000000001			18.418749999999996
	8.575			17.69375
	8.88125			18.9875
	8.937500000000002			19.14375
	9.25			18.312499999999996
	8.38125			17.506249999999998
	8.50625			16.9375
	8.668750000000001			17.875
	8.668750000000001			18.537499999999998
	9.35			18.431250000000002
	8.418750000000001			17.268749999999997
	7.50625			15.90625
	6.84375			15.28125
	6.26875			14.674999999999999
	6.2625			15.65
	6.65			15.95625
	6.25			16.16875
	6.76875			16.0625
	7.2375			15.893749999999999
	6.93125			13.968749999999998
	5.5375			12.618749999999999
	3.8687499999999995			13.0375
	4.68125			13.1875
	4.862500000000001			13.318749999999998
	4.9625			14.012500000000001
	5.825000000000001			13.206249999999999
أكتوبر	5.525			12.037500000000001
	5.2250000000000005			11.84375
	4.5125			10.24375
	3.1687499999999997			10.10625
	3.28125			12.05625
	4.312500000000001			11.031250000000002
	4.112499999999999			11.00625
	4.51875			10.643749999999999
	3.7625			10.38125
	3.14375			10.612499999999999
	3.09375			9.88125
	3.0875			8.924999999999999
	2.2750000000000004			9.19375
	1.1			8.362499999999999
	1.4000000000000001			8.20625
	1.075			7.33125
	0.6312500000000001			7.468749999999998
	1.3249999999999997			8.4125
	0.21249999999999994			7.906249999999999
	0.35625000000000007			6.88125
	-0.45625			6.593750000000002
	-0.2562500000000001			6.58125
	0.08124999999999995			7.768750000000001
	-0.018750000000000072			7.575000000000001
	-0.7875			5.162499999999999
	-0.9375			5.718749999999998
	-1.3562499999999997			5.625
	-1.88125			4.7875
	-1.3937499999999998			4.19375
	-2.7250000000000005			4.4375
	-3.0437499999999997			3.06875
نوفمبر	-3.0437499999999997			3.212500000000001
	-2.7812499999999996			3.2500000000000004
	-3.0375000000000005			3.1750000000000003
	-4.4			2.1937499999999996
	-4.812500000000001			1.2874999999999999
	-4.574999999999999			1.7249999999999999
	-5.800000000000001			1.0937500000000002
	-5.525000000000001			1.2812500000000004
	-5.65			-0.13125000000000012
	-5.5			1.2875
	-4.76875			1.2874999999999999
	-3.6750000000000003			1.40625
	-3.74375			1.28125
	-5.98125			0.23749999999999996
	-7.20625			-1.01875
	-7.624999999999998			-0.031249999999999896
	-6.13125			-0.043749999999999956
	-6.1875			-0.08125000000000021
	-5.5249999999999995			1.3624999999999996
	-8.1375			-1.3812499999999999
	-8.225			-0.7187500000000001
	-7.14375			-0.006250000000000061
	-9.743749999999999			-2.7812500000000004
	-11.674999999999997			-4.475
	-9.69375			-2.34375
	-10.243749999999999			-2.74375
	-9.56875			-2.9625
	-10.174999999999999			-2.5625
	-9.474999999999998			-2.2687500000000007
	-10.512500000000001			-3.075
ديسمبر	-10.087499999999999			-2.9375
	-12.862499999999997			-4.2625
	-13.19375			-5.556250000000001
	-10.499999999999998			-3.2812500000000004
	-11.087499999999999			-3.212500000000001
	-12.9625			-5.206250000000001
	-11.399999999999999			-4.025
	-9.893749999999999			-3.2062499999999994
	-9.89375			-1.8375
	-12.174999999999999			-5.1875
	-12.40625			-5.66875
	-11.68125			-4.84375
	-12.4375			-5.299999999999999
	-11.16875			-3.450000000000001
	-13.325000000000003			-4.956250000000001
	-13.600000000000001			-6.41875
	-11.333333333333334			-5.1066666666666665

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

33°C

أعلى درجة حرارة

2 يوليو 26

-25°C

أدنى درجة حرارة

25 يناير 26

التفصيل الموسمي

أحر شهرأغسطس28.3°C

أبرد شهريناير-14.57°C

أكثر شهر أمطارًاأغسطس21.16mm

أكثر شهر رياحًامارس21.05km/h

Lancienne Lorette رؤى تغير المناخاكتشف كيف تتطور أنماط المناخ بمرور الوقت. تحولات درجات الحرارة، واتجاهات هطول الأمطار، والأحداث المتطرفة—كل ذلك في مكان واحد.

تصنيف مدن الطقس عالميًااستكشف في الوقت الفعلي أكثر مدن العالم حرارةً وبرودةً بناءً على بيانات درجات الحرارة الحالية.

Frequently Asked Questions

1. ما هو أحر شهر في Lancienne Lorette تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Lancienne Lorette، مع متوسط درجات حرارة قصوى تبلغ حوالي 25°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 34°C في 2025-08-11.

2. ما هو أبرد شهر في Lancienne Lorette تاريخيًا?

يناير هو أبرد شهر في Lancienne Lorette، مع متوسط درجات حرارة دنيا تبلغ حوالي -15°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -32°C في 2023-02-04.

3. ما هو متوسط هطول الأمطار السنوي في Lancienne Lorette خلال السنوات 17 الماضية?

يبلغ متوسط هطول الأمطار السنوي في Lancienne Lorette تقريبًا 1392.9mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

4. كم عدد أيام الأمطار التي تشهدها Lancienne Lorette في المتوسط سنويًا?

تسجل Lancienne Lorette تاريخيًا حوالي 199.6 يوم مطر سنويًا. يشهد يونيو أكبر عدد من أيام الأمطار بمتوسط 17.5 أيام.

5. ما هي أعلى درجة حرارة تم تسجيلها على الإطلاق في Lancienne Lorette?

أعلى درجة حرارة مسجلة على الإطلاق في Lancienne Lorette هي 34°C في 2025-08-11.

6. ما هي أدنى درجة حرارة تم تسجيلها على الإطلاق في Lancienne Lorette?

أدنى درجة حرارة مسجلة على الإطلاق في Lancienne Lorette هي -32°C في 2023-02-04.

7. ما هي الفترة الأكثر عرضة للرياح في Lancienne Lorette تاريخيًا?

تشهد Lancienne Lorette أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 44 كم/ساعة في 2022-12-23.

8. ما هو أعلى وأدنى مستوى للرطوبة في Lancienne Lorette خلال العام?

عادةً، تبلغ رطوبة Lancienne Lorette ذروتها في فبراير بحوالي 91.2% وتنخفض إلى أدنى مستوياتها في مايو بحوالي 74.4%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Lancienne Lorette السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lancienne Lorette رسم بياني لاتجاهات الطقس

الملخص السنوي 2026

التفصيل الموسمي

Frequently Asked Questions

المدونات الحديثة عن الطقس

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

Lancienne Lorette السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lancienne Lorette رسم بياني لاتجاهات الطقس

الملخص السنوي 2026

التفصيل الموسمي

Frequently Asked Questions

المدونات الحديثة عن الطقس

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

Lancienne Lorette السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا