Alesd السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Alesd رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.25625	-6.2		4.168749999999999	-1.8
	-0.8062499999999998	-1.3		4.6187499999999995	0.4
	-0.5812499999999999	-5		3.8874999999999997	0.6
	-0.44999999999999996	-7.7		3.9062499999999996	-0.2
	-0.9937500000000002	-4.1		3.8187500000000005	0.2
	-1.3125000000000002	-1.4		4.250000000000001	0.4
	-1.9749999999999996	-4.1		3.09375	-1.7
	-2.6125000000000003	-9.8		2.85625	-3
	-0.9625000000000002	-14.8		4.19375	-5.7
	-1.1937499999999999	-12.2		4.325	-4
	-1.3625	-16.3		3.625	-6.4
	-2.2125000000000004	-12.4		2.8062500000000004	-7.9
	-2.13125	-11.5		2.8375000000000004	-0.9
	-1.6687499999999997	-1.8		3.3624999999999994	1.4
يناير	-2.1125000000000003	0.5		2.9749999999999996	1
	-2.3750000000000004	0.2		3.1625	1.3
	-2.025	-4.6		4.093750000000001	0.6
	-1.3562500000000002	-3.7		3.5875000000000004	0.1
	-1.9999999999999998	-4.3		3.4187499999999993	-0.8
	-1.6375	-4.8		2.91875	0
	-1.4375	-5		3.675	0.1
	-2.1375	-5.9		3.36875	0.5
	-2.5875	-2.3		3.5250000000000004	2.5
	-2.8250000000000006	1.1		2.61875	5.5
	-3.4374999999999996	2.5		1.9812500000000002	7
	-3.1062499999999997	4.7		2.13125	8.1
	-2.9875000000000003	3.7		2.6062499999999997	5
	-2.125	1.6		3.49375	7.4
	-2.35625	2.9		3.20625	6.4
	-1.69375	3.4		4.65	4.9
	-1.8124999999999998	2.5		4.125	3.8
	-1.7062499999999996	0		4.44375	5.3
	-0.4624999999999999	-0.7		4.65	1.4
	-0.6125000000000002	-1.3		5.175000000000001	4.3
	-1.48125	4		4.23125	6.9
	-2.0624999999999996	4.3		4.175	9.3
	-1.9625000000000001	5.5		4.50625	11.3
	-1.4500000000000004	5.8		5.7	7.9
	-1.4000000000000004	4.7		4.6875	8
	-1.2187499999999998	5.4		5.0375	8.8
	-1.3812499999999999	2.6		5.73125	6
	-1.3874999999999997	3		6.04375	9.4
	-2.06875	6.4		5.331250000000001	7.2
	-1.625	5.8		4.2250000000000005	10
	-1.2	3.3		5.03125	11.9
فبراير	-1.3687500000000001	-1.6		5.874999999999999	8
	-1.0499999999999998	-2.6		6.575	4.3
	-0.9437500000000003	0.3		7	4.1
	0.20625	-0.9		7.462499999999999	5.5
	0.33749999999999997	-0.8		7.83125	9.3
	0.59375	2.1		6.624999999999999	5.3
	-0.01874999999999971	0.6		6.8999999999999995	3.8
	0.1374999999999999	2		8.5	4.8
	1.6249999999999998	4		8.000000000000002	6.2
	1.5812499999999996	5.5		8.318749999999998	10
	1.3937499999999996	1.5		8.3625	5.1
	1.05	-1		8.5875	7.7
	0.9375	1		8.21875	9.4
	1.1687499999999997	2.1		8.481250000000001	11.1
	1.0625	3.6		9.1125	12.4
	0.7687499999999999	4.7		9.0625	12
	1.9125	4.2		8.51875	12.4
	1.55625	4.4		10.281249999999998	13.2
	1.36875	6.6		9.718750000000002	13.9
	0.7875000000000001	3.9		9.3375	12.8
	1.5937499999999998	4.5		9.38125	14
	1.95	5.1		10.399999999999999	15.2
	1.9625000000000004	5.1		10.237499999999999	14.1
	2.0625	5.6		10.58125	15.5
	2.66875	5.6		10.600000000000001	15.9
	3.287499999999999	6.1		11.174999999999999	16.3
	3.4125000000000005	6.7		12.00625	16.2
	3.4749999999999996	6.6		11.81875	16.7
مارس	2.29375	5.5		10.51875	15.4
	2.1937499999999996	4.3		9.09375	14.9
	1.59375	6.2		10.662500000000001	11
	1.86875	7.2		10.24375	14.4
	2.031249999999999	3.8		10.600000000000003	12.4
	2.04375	2.8		11.162499999999998	12.3
	2.1562499999999996	3.6		12.668749999999998	13.8
	2.6187499999999995	3.8		13.2	13.7
	3.25625	6.7		13.05625	13
	3.1875	5.9		13.7	14.6
	3.6437500000000003	6		12.849999999999998	15.7
	3.49375	8.3		13.162499999999998	17.2
	3.693749999999999	7.6		12.5375	17.1
	3.49375	9.4		13.13125	16.6
	4.11875	7.9		14.418749999999998	12.2
	5.700000000000001	5.5		15.41875	10.2
	6.2375	3.4		15.674999999999999	8.8
	6.237500000000001	4.2		15.481250000000001	11
	4.99375	3.4		15	16.6
	4.23125	8.7		14.012500000000001	17
	4.525	4.5		14.725000000000001	16.8
	5.7	6.8		15.612499999999999	18.2
	5.468749999999999	8.2		13.687499999999998	19.6
	5.812500000000001	4.3		14.749999999999998	14.1
	5.3500000000000005	2.5		15.60625	11.1
	5.30625	1.5		15.987499999999999	10.4
	5.156250000000001	1.6		14.837499999999999	11
	5.4625	2		16.20625	12.1
	6.612499999999999	2.5		17.099999999999998	14.6
	6.6375	4.6		16.775000000000002	18.1
	7.043749999999999	8.6		16.768749999999997	17.1
أبريل	6.475	10		15.981250000000001	20.8
	6.63125	11.6		16.81875	20.7
	6.831250000000002	11.4		17.368750000000002	19.5
	6.51875	5.3		16.6625	17
	6.831250000000002	5.9		15.806250000000002	19.2
	6.3875	7.9		15.762500000000001	15.4
	6.19375	4.8		17.400000000000002	10.8
	6.862500000000001	2.5		17.95625	14
	7.54375	3.2		17.875	16.8
	8.06875	5.7		19.625	16.3
	9.093749999999998	7.9		19.624999999999996	19.5
	8.99375	6.3		18.94375	16
	8.5625	3.6		18.63125	15.2
	8.81875	6.2		19.550000000000004	16.6
	9.106250000000001	5		20.125	14.2
	9.743750000000002	1.9		20.63125	13.6
	10.250000000000002	1.3		21.75625	14.5
	11.0625	4.3		22.29375	17.9
	11.13125	5.1		22.762499999999996	18.6
	11.0625	7.4		20.425	22.7
	10.362499999999999	10.7		20.862500000000004	25
	10.0875	11		20.531249999999996	23.6
	10.343749999999998	13.5		19.4375	17.8
	9.356250000000001	11.8		19.0625	22.3
	8.881250000000001	12.4		18.931250000000002	20.7
	9.056249999999999	10.4		20.624999999999996	21.9
	9.931250000000002	13.4		22.068749999999998	23.4
	11.249999999999998	9.3		21.693749999999998	16
	10.3875	6.6		20.900000000000002	14.8
	9.56875	5.5		18.925	17.9
مايو	10.018749999999999	10		19.075	21.3
	9.63125	11.5		18.843749999999996	19.4
	10.218749999999998	10.6		18.91875	20.2
	9.531250000000002	10.5		18.14375	14.4
	9.55	7.7		21.106249999999996	19.2
	11.406249999999998	10		22.26875	22.1
	11.96875	10.3		22.818749999999998	21.9
	12.30625	13.6		22.90625	22.9
	12.424999999999999	11.9		22.26875	24.5
	12.262500000000001	12.1		22.0875	25.1
	12.506250000000001	14.5		22.231249999999996	26.7
	12.01875	13.1		22.575	28.2
	12.34375	16.2		21.968750000000004	29.4
	12.124999999999998	10.5		21.9875	20.3
	11.70625	8.5		21.81875	21.4
	11.7	9.6		22.549999999999997	22.5
	12.15625	12.1		22.6375	23.7
	12.73125	15.7		22.887499999999996	20.7
	13.54375	13.9		23.456250000000004	21.6
	12.750000000000002	13.4		23.374999999999996	25.6
	13.88125	15.2		23.743750000000002	21.9
	14.331249999999999	13.3		24.94375	25.1
	14.73125	14.6		25.387500000000003	22.5
	15.4125	14.8		25.687500000000004	26.9
	15.575	13.7		26.71875	26.7
	15.656250000000002	15.1		26.35000000000001	28.5
	15.775	16.7		26.9375	30.8
	15.906249999999998	14.8		26.34375	23.8
	15.593750000000002	12.3		25.868750000000006	20.3
	15.875000000000002	10.3		25.631249999999994	21.9
	14.987499999999997	12.8		24.95	25.4
يونيو	14.368749999999999	12		24.975	22.7
	14.824999999999998	10.1		25.587500000000002	25.9
	15.05625	14.5		25.15	24.7
	15.9375	14.5		27.212500000000002	26.6
	16.18125	16.2		27.787499999999998	29.3
	16.493750000000002	18.5		27.475000000000005	32
	16.34375	19.4		26.94375	32.9
	16.55625	19.1		27.356250000000003	32.2
	17.3875	18		28.28125	31.8
	16.493750000000002	16.9		26.8	32.1
	16.51875	17.7		26.356250000000003	33
	15.937499999999998	19		26.237500000000004	34.1
	16.34375	21.3		26.73125	36.1
	16.0625	22.2		26.36875	38.2
	16.299999999999997	22.7		27.568749999999998	40
	17.1625	24.1		28.6625	39.4
	16.48125	20.6		27.6875	35.7
	16.25625	18.9		28.249999999999996	28.9
	16.675	17.4		27.687499999999996	31.8
	16.08125	13.6		27.75	28.8
	16.24375	14.6		28.5	27.4
	17.15	13.6		29.168750000000003	29.8
	17.618750000000002	15		29.231250000000003	29.9
	17.34375	15.7		29.025	27.2
	16.656250000000004	12		27.262500000000003	26.5
	17.037499999999998	13.4		28.181250000000002	27.9
	16.975	15.6		27.987499999999997	30.1
	16.799999999999997	14.7		28.456249999999997	27.5
	17.39375	12.3		28.375	28.1
	17.331249999999997	15.8		29.65625	32.6
يوليو	17.68125	20		29.15	32.1
	16.712500000000002	18.9		28.499999999999996	33.6
	17.493750000000002	19.5		28.431250000000002	35.6
	17.087500000000002	22.9		28.4	37.2
	17.65625	21.1		28.787499999999998	33.4
	17.98125	16.5		29.668750000000003	32.4
	18.10625	16		29.450000000000003	31
	17.975	15.1		28.91875	25.5
	17.80625	12.8		28.999999999999996	27.1
	18.10625	11.5		29.437500000000004	23.4
	18.262500000000003	10.7		28.93125	27.9
	18.05625	14.8		28.681250000000002	32.9
	17.431250000000002	17.6		27.318749999999998	30
	17.3	15.5		28.60625	31.3
	18.46875	15.9		29.36875	32.9
	18.08125	18.7		28.625	36.5
	17.9	21		28.193749999999994	38
	17.76875	21.8		29.70625	38.6
	18.125000000000004	22		29.8875	39.2
	18.337499999999995	23.9		30.275	38.7
	18.406249999999996	21.8		29.974999999999998	39.7
	18.5	23.4		30.89375	40.1
	18.5	23.7		30.268750000000004	40
	17.6875	20.2		29.518749999999997	37.6
	18.29375	17.8		30.025000000000002	33.9
	18.412499999999998		15.7	30.675000000000004		33.8
	18.549999999999997		18.2	30.518749999999997		36.1
	18.00625		21	29.68125		38
	17.474999999999998		15.7	29.768750000000004		32.2
	17.337500000000002		12.7	29.787499999999998		33.2
	17.375		14	30.04375		34.6
أغسطس	17.812499999999996		17.1	30.137500000000003		35.7
	17.98125		20.8	30.2875		37.9
	17.575		17.5	28.525		28.7
	16.987499999999997		16.9	28.506249999999998		28.8
	17.031250000000004		17.1	29.643750000000004		29.4
	17.20625		17.1	29.03125		29.7
	17.01875		17.3	28.48125		28.9
	16.8		16.6	28.518749999999997		28
	17		16.7	28.75625		28.5
	16.987500000000004		17	28.41875		28.4
	17.21875		17.2	29.36875		29.1
	17.30625		17.1	29.487499999999997		30.1
	17.624999999999996		17.6	29.793750000000003		28.9
	17.231250000000003		16.8	28.075000000000006		28.6
	16.25		16.9	28.2125		28.9
	15.981250000000001		16.4	28.568749999999998		28.4
	16.412499999999998		16.1	27.762500000000003		27.6
	16.5		15.9	27.656250000000004		27.1
	16.33125		15.8	27.225		27.3
	15.318750000000001		15.5	25.81875		26.3
	14.625000000000004		15	26.025		26.2
	14.98125		14.9	26.337499999999995		25.8
	14.231250000000003		14.1	25.293750000000003		25
	14.018749999999999		13.8	25.4		25.3
	14.381250000000001		14.2	26.175000000000004		26
	15.031250000000002			26.4625
	14.612499999999997			25.0625
	15.193750000000001			26.125
	15.312499999999998			25.6625
	14.443750000000001			26.231249999999996
	14.862499999999999			25.556249999999995
سبتمبر	14.224999999999998			24.40625
	14.4			24.6875
	14.131250000000001			23.774999999999995
	13.212499999999999			23.45625
	13.100000000000001			23.06875
	12.387500000000003			21.956249999999994
	11.674999999999997			21.4375
	11.181250000000002			21.25
	11.406250000000002			21.462500000000002
	11.5875			21.550000000000004
	11.843749999999998			21.4875
	12.5			21.262499999999996
	11.18125			21.162499999999998
	11.487500000000002			20.937500000000004
	10.887500000000001			19.65
	10.50625			19.093750000000004
	10.225000000000001			18.550000000000004
	9.65625			18.6875
	8.93125			19.0625
	9.7125			18.24375
	9.625			18.481250000000003
	9.25			17.818749999999998
	8.98125			18.074999999999996
	8.3			17.487499999999997
	7.800000000000002			16.74375
	8.59375			17.2875
	9.225			18.025000000000002
	9.5875			18.081249999999997
	9.03125			17.375
	8.90625			17.58125
أكتوبر	8.118749999999999			16.9
	8.393750000000002			17.474999999999998
	8.05625			16.962500000000002
	7.2437499999999995			16.543750000000003
	7.4875			16.2375
	7.943750000000001			17.150000000000002
	8.01875			16.85625
	8.693749999999998			16.6625
	8.549999999999999			16.80625
	8.193750000000001			17.0125
	7.718750000000001			16.26875
	8.16875			15.825
	7.4375			15.656250000000002
	7.1000000000000005			15.675
	7.0375000000000005			15.243749999999999
	6.699999999999999			14.962499999999999
	6.168750000000001			13.9375
	5.518750000000001			14.525
	6.25			14.187499999999998
	7.45			15.425
	6.65625			15.212500000000002
	7.343750000000001			15.156249999999998
	6.25			14.281250000000004
	6.606250000000001			13.624999999999998
	6.65625			13.7
	6.637499999999999			13.887499999999998
	5.96875			12.649999999999999
	5.218750000000001			11.9875
	5.05			12.481250000000001
	5.324999999999999			12.65625
	4.9437500000000005			11.13125
نوفمبر	4.643750000000001			10.981250000000001
	4.5375			11.556250000000002
	3.975			10.3875
	3.66875			9.5
	3.2687500000000003			9.918750000000003
	3.9000000000000004			10.612499999999999
	3.6437499999999994			9.506250000000001
	2.6937500000000005			8.4
	1.7874999999999999			8.34375
	1.9812500000000002			7.7875000000000005
	1.0312500000000002			7.35625
	1.0999999999999999			6.6625
	0.7999999999999999			6.4375
	1.63125			6.45625
	0.9375000000000001			6.3187500000000005
	0.35625000000000007			5.699999999999999
	0.3625000000000001			5.624999999999999
	0.6625			6.125
	0.50625			6.550000000000001
	-0.09999999999999998			5.76875
	0.19999999999999998			5.38125
	0.5687500000000001			5.893749999999999
	0.78125			5.031249999999999
	0.7			5.237500000000001
	0.12500000000000003			6.20625
	0.575			4.9625
	-0.10624999999999996			4.36875
	0.6000000000000001			5.1875
	0.024999999999999998			4.80625
	-0.85625			3.6374999999999993
ديسمبر	-0.3312500000000001			4.3999999999999995
	-0.3500000000000001			4.950000000000001
	-0.39375000000000016			4.425000000000001
	-0.9749999999999998			4.04375
	-1.0312499999999996			3.86875
	-0.8374999999999995			4.737500000000001
	-0.36875			4.24375
	0.22500000000000003			4.793749999999999
	0.56875			5.393750000000001
	0.9562499999999999			5.53125
	0.8750000000000001			5.55625
	0.43750000000000006			5.6000000000000005
	0.20625000000000002			5.187499999999999
	-0.13750000000000007			4.3125
	-0.98125			4.1187499999999995
	-1.1812500000000001			3.0875
	-1.1933333333333336			3.4066666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

40°C

أعلى درجة حرارة

5 أغسطس 26

-16°C

أدنى درجة حرارة

11 يناير 26

التفصيل الموسمي

أحر شهرأغسطس38.48°C

أبرد شهريناير-3.75°C

أكثر شهر أمطارًايناير2.75mm

أكثر شهر رياحًايوليو21.51km/h

Alesd 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 Alesd تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Alesd، مع متوسط درجات حرارة قصوى تبلغ حوالي 30°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 42°C في 2025-07-26.

2. ما هو أبرد شهر في Alesd تاريخيًا?

يناير هو أبرد شهر في Alesd، مع متوسط درجات حرارة دنيا تبلغ حوالي -2°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -18°C في 2012-02-10.

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

يبلغ متوسط هطول الأمطار السنوي في Alesd تقريبًا 685.09mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Alesd تاريخيًا حوالي 177.7 يوم مطر سنويًا. يشهد مايو أكبر عدد من أيام الأمطار بمتوسط 19.8 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Alesd هي 42°C في 2025-07-26.

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

أدنى درجة حرارة مسجلة على الإطلاق في Alesd هي -18°C في 2012-02-10.

7. ما هي الفترة الأكثر عرضة للرياح في Alesd تاريخيًا?

تشهد Alesd أقوى رياحها خلال مارس. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 49 كم/ساعة في 2025-07-07.

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

عادةً، تبلغ رطوبة Alesd ذروتها في يناير بحوالي 83.7% وتنخفض إلى أدنى مستوياتها في أغسطس بحوالي 51.6%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Alesd السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Alesd رسم بياني لاتجاهات الطقس

الملخص السنوي 2026

التفصيل الموسمي

Frequently Asked Questions

المدونات الحديثة عن الطقس

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Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

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World Top Hottest Cities Belong to India - April 2026

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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

Alesd السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Alesd 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

Alesd السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا