Nanyang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanyang رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.75	-3.5		9.53125	4.4
	0.09374999999999997	-1.9		9.181249999999999	5.7
	-0.8999999999999996	0.1		8.956249999999999	8.2
	-0.6499999999999997	2.1		8.006250000000001	9.3
	-0.5499999999999998	1.9		7.4625	9.3
	-0.6124999999999999	1.5		7.0625	10.7
	-1.0999999999999996	1		6.925	10.3
	-1.4312499999999997	1.7		7.95625	10.4
	-0.9125000000000002	4		7.318749999999999	15.1
	-1.4875000000000003	3.1		7.5249999999999995	11.2
	-1.0187499999999996	0.2		8.875000000000002	9.5
	-1.1249999999999998	3.2		9.249999999999998	16.9
	-0.325	5		9.18125	15.6
	-0.3374999999999999	7.3		9.20625	16.5
يناير	-1.1625	5.8		7.875	18
	-1.0437500000000002	5.9		8.1625	15.6
	-1.3124999999999998	1.1		8.899999999999999	8.8
	-0.73125	0.6		9.2375	4.9
	0.25625	-2.6		10.33125	0.6
	0.5999999999999999	-4.8		8.7875	-1.1
	-0.6312500000000001	-7.4		8.2125	0.5
	-0.925	-3.9		8.41875	5.2
	-1.2562499999999999	-2		8.19375	9.2
	-0.88125	0.3		6.781250000000001	10.4
	-1.225	1.1		7.281250000000001	5.2
	-1.025	0.8		8.19375	9.2
	-1.28125	0.1		8.26875	7.7
	-0.7124999999999999	0.5		8.475	9.1
	-0.73125	2.1		9.4	7.3
	-0.13750000000000007	1.1		9.168750000000001	3.8
	-0.41249999999999987	0.7		8.950000000000001	9.3
	-0.49375	3.1		8.6125	12.1
	-0.1125	3.4		8.20625	12
	-0.71875	3.8		9.025	12.6
	-0.6000000000000001	5.1		10	15.5
	-0.24375000000000002	6.5		9.918749999999998	16.8
	0.325	0.2		9.43125	8.7
	-0.08750000000000005	0.3		8.75	6
	-0.5125	-0.8		8.21875	9.8
	-0.6687500000000001	1.3		9.125	6.6
	-0.5499999999999997	1.1		9.88125	15.4
	0.26250000000000007	3		10.468750000000002	14.2
	0.6187500000000001	4.6		10.587500000000002	16.7
	1.2625000000000002	6.2		11.243749999999999	18
	1.575	7.7		11.85625	20.5
فبراير	1.25625	1.7		10.38125	13.1
	0.43750000000000006	1.1		11.88125	4.8
	1.5687499999999999	1.4		11.568750000000001	12.2
	2.1999999999999997	3.7		11.66875	14.9
	1.8875	6.2		12.64375	19.1
	1.3874999999999997	6.2		11.693749999999998	21
	1.7437500000000001	8.5		11.637500000000001	24.2
	1.8875000000000002	10.3		12.962499999999999	19.1
	2.5812499999999994	2.9		12.725000000000001	11.8
	2.9187499999999997	2.9		13.55625	13.6
	3.8124999999999996	4.2		13.756250000000001	14.9
	3.66875	6.7		13.343749999999998	11.5
	3.34375	7.1		13.4	12.5
	3.7124999999999995	6.9		12.331249999999999	10.1
	3.39375	3.1		12.306249999999999	5.2
	2.5687500000000005	2.5		12.8375	9.3
	3.3125	1.9		13.94375	13.3
	3.7625	5.1		15.381249999999998	15.8
	5.037499999999999	8.3		14.568750000000001	14.9
	4.349999999999999	5.6		14.006249999999998	11.3
	4.13125	3.5		15.50625	10.8
	5.156250000000002	3.2		17.006249999999998	12.9
	5.324999999999999	8.2		16.49375	15.3
	5.53125	4.9		16.174999999999997	17.9
	6.15625	7.9		18.112499999999997	19.3
	6.474999999999999	6.1		17.79375	16
	6.3875	6.7		17.387500000000003	18.7
	6.843749999999999	6.9		17.1625	13.5
مارس	6.3	6.4		18.1	10.2
	5.90625	7.6		16.799999999999997	11.6
	6.425000000000001	7.6		16.99375	8.4
	6.89375	5.3		17.125000000000004	14.8
	7.356250000000001	3.9		16.9375	15.6
	6.7875	9.5		16.625	18.6
	6.19375	8.4		17.787499999999998	19
	7.25625	10.4		17.75	22.4
	7.262499999999999	12.7		17.15625	16.1
	7.768749999999999	10.4		17.95	17
	7.543749999999999	8.4		18.887500000000003	19.4
	8.225	11.4		19.818749999999998	21.2
	7.9437500000000005	11.4		21.40625	23.2
	8.98125	12.4		21.13125	22.2
	9.293750000000001	13.3		20.6625	24.3
	9.9875	12.4		19.806250000000002	17.2
	9.4	10.5		20.049999999999997	19.7
	9.306249999999999	11		21.974999999999994	23.9
	9.537500000000001	12.6		20.63125	19.3
	9.60625	12.9		20.243750000000002	27.2
	8.737499999999999	9.7		18.275000000000002	21
	9.425	12.1		19.45	26.5
	9.356249999999998	13.9		20.275	21.7
	9.49375	13		21.287499999999998	20.7
	10.268750000000002	11		23.20625	14.8
	10.53125	12.1		23.062500000000004	23
	10.96875	15.1		23.35	27.7
	11.21875	14.9		21.5	20.1
	9.93125	15.5		21.093749999999996	22
	10.174999999999999	12.4		21.918750000000003	20
	10.74375	12.2		23.0875	22.9
أبريل	11.506250000000003	12.7		24.08125	22.9
	12.21875	14.8		24.656249999999993	25.2
	12.493750000000002	13.7		25.56875	27.1
	13.6125	13.3		23.856250000000003	27.2
	11.781250000000002	15.4		22.793750000000003	28
	12.05625	11		22.89375	15.1
	12.58125	9.1		21.16875	13.7
	11.7375	7.3		22.537499999999998	19.6
	11.618749999999997	9.3		23.775	22.4
	13.049999999999999	10.2		23.743750000000002	24.1
	12.681249999999999	13		23.48125	25.8
	12.750000000000002	15.4		25.525000000000002	29
	13.393749999999999	17		26.043750000000003	28.9
	13.475000000000001	13.4		25.881249999999998	20.8
	13.568750000000001	11.8		27.106250000000006	22.2
	14.55	10.7		29.162499999999994	24.6
	15.556249999999999	12.3		27.893749999999997	24.2
	15.150000000000004	14		26.868750000000006	22.4
	14.537500000000003	13.1		26.375	27.2
	15.506249999999998	13.5		26.80625	28.1
	15.212500000000002	15		27.299999999999997	29
	15.231250000000001	17.4		26.362499999999994	31.3
	15.825000000000001	16.5		27.34375	23.7
	16.125	15		26.043749999999996	24
	15.6375	12.9		26.56875	27.8
	15.14375	14.7		25.618750000000002	31.6
	15.050000000000002	17.9		27.2	35
	16.13125	20.6		28.975	30.9
	16.724999999999998	18.2		28.93125	24.8
	17.224999999999998	18.6		28.431250000000002	24.6
مايو	16.9875	18.8		28.081250000000008	29.5
	16.6	19.1		28.168750000000003	23.4
	16.9	20.5		30.118749999999995	21.8
	18.125000000000004	18.9		30.60625	24.5
	18.5125	18.6		29.906250000000004	27.3
	18.23125	19.8		29.981250000000003	25.5
	18.093749999999996	16.6		28.21875	24.6
	17.362499999999997	21.3		28.593749999999996	28
	17.01875	21.2		29.2	32.1
	17.89375	21.9		29.981250000000003	23.1
	19.15625	21.6		29.78125	25
	18.83125	19.6		29.581249999999997	26.5
	18.8	18.8		30.043750000000003	24
	18.737499999999997	20.9		29.599999999999998	26.6
	18.675	19.7		30.275000000000006	23.5
	19.46875	16.4		29.45625	32.1
	19.525000000000002	19.1		30.618750000000002	31.8
	20.318750000000005	21.3		30.76875	29.7
	20.606249999999996	23.4		31.724999999999998	36.3
	20.318749999999994	23.9		29.825000000000003	37
	19.8375	22		30.975	34.6
	19.75	23.9		31.631249999999994	35.5
	20.787499999999998	18.6		32.79375	37.1
	21.61875	18		32.35	23.5
	22.175	17.2		32.89375	30.9
	22.6375	18.3		33.025	33.7
	22.068749999999994	21.3		33.14375	35.2
	21.931250000000002	22.8		33.912499999999994	35.3
	22.5	20.3		32.931250000000006	30.8
	22.449999999999996	17.3		33.44375	33.1
	22.375000000000004	21.3		33.71875000000001	35.8
يونيو	22.875000000000004	25.7		33.856249999999996	37
	23.012499999999996	24.9		32.62499999999999	35.7
	22.59375	24.6		32.237500000000004	35.7
	22.237499999999997	20.4		31.193749999999998	23.3
	22.493749999999995	20.6		32.1625	28.1
	22.737500000000004	20.5		31.74375	31.3
	23.0875	18.7		31.775	29.3
	22.875000000000004	18.5		32.775	20.4
	23.668750000000003	18.6		32.5	28
	22.493749999999995	20.5		32.575	26.9
	22.64375	21.8		30.575000000000003	32.9
	22.3125	23.4		31.475000000000005	28.9
	22.706249999999997	22.5		32.087500000000006	35.4
	22.881249999999998	23.8		32.0625	35.2
	22.937500000000004	24.7		30.912500000000005	36.2
	22.906249999999996	24.3		32.9125	33.1
	23.581250000000004	21.7		33.1	35.7
	24.124999999999996	23.8		33.04375	33.9
	24.0375	21.7		33.04375	33.5
	23.812500000000004	22.7		31.793749999999996	35.3
	23.275	24.9		31.937499999999996	36.5
	23.237499999999997	24.6		32.3375	35.8
	23.099999999999998	23.4		33.05	36.4
	23.937499999999996	25.4		33.24375	37.4
	24.21875	26.5		32.78125	37.3
	24.350000000000005	26.3		32.6375	34.7
	24.5	26.8		32.9875	39.2
	24.4875	26.7		32.63125	37.8
	24.075	28		33.18125	38.2
	24.218750000000004	26.2		33.3375	36.7
يوليو	23.8	28.7		31.95	36.3
	23.575	27.2		31.606249999999996	35.8
	23.54375	25.3		31.53125	30.9
	23.837500000000006	22.6		31.787499999999994	35.6
	23.9875	24.9		31.425000000000004	36.9
	23.799999999999997	23.3		32.268750000000004	35.5
	23.96875	25		32.80625	36.9
	24.6	24.7		33.2625	35.8
	24.574999999999996	23.7		32.425000000000004	33.9
	24.656249999999996	24.8		33.6875	34.7
	24.8625	26		34.268750000000004	36.5
	24.68125	22.9		34.0625	35.8
	24.606250000000003	24.2		33.331250000000004	30.1
	24.443749999999998	24.2		32.7	30.5
	24.90625	23.9		33.325	28.2
	24.749999999999993	24.5		33.49375	31.8
	25.037500000000005	25.2		33.775	30.6
	25.00625	24.9		33.106249999999996	32
	24.831249999999997	24.6		33.1	34.3
	24.8625	24.8		34.2375	36
	25.343750000000007	23.2		34.25625	34.7
	25.375	22.6		33.58749999999999	30.4
	24.66875	23.3		32.75625000000001	32.4
	24.44375	25.2		32.4625	35.2
	23.968749999999996	25.5		32.38125	31.8
	23.462500000000002	23.6		31.962500000000002	29.6
	23.449999999999996	23.1		32.768750000000004	30.6
	24.049999999999997	22.3		33.15625000000001	25
	24.25	20.9		33.08125	25.2
	24.1		20.2	33.49375		21.9
	23.78125		21.1	33.03125		26.4
أغسطس	23.837500000000002		20.9	32.88125		30.4
	23.768750000000004		21.6	33.375		30.6
	23.393750000000004		23.3	32.587500000000006		29.8
	23.781249999999996		24	32.425		28.7
	23.724999999999994		22.8	32.09375		32
	23.743749999999995		22.9	31.874999999999996		31.7
	22.85		23.3	31.31875		31.2
	22.7875		22.4	31.0125		30.9
	22.349999999999998		22.4	29.85625		30.4
	21.568749999999998		21.9	30.318749999999998		30.5
	21.656249999999996		21.5	30.50625		30.8
	21.074999999999996		21.1	29.81875		29.5
	20.80625		20.5	28.86875		28.8
	20.625		20.8	29.3625		29.8
	20.175000000000004		19.9	29.38125		29.1
	20.562499999999996		20.2	28.806250000000002		28.5
	20.387500000000003		20.4	29.38125		29.3
	20.74375		20.3	29.23125		29.6
	20.96875		20.3	29.93125		29
	20.5125		20.5	29.41875		29.8
	20.093750000000004		20.3	28.881250000000005		29.1
	20.03125		20.3	28.85		29
	20.20625		20.1	28.387500000000003		28.3
	20.118750000000002		20	29.08125		29.1
	20.212500000000002		20	29.256249999999998		28.7
	19.9875		19.9	29.118750000000002		28.8
	20.612499999999997		20	28.9		28.4
	19.500000000000004		19.2	28.518750000000004		27.7
	19.1875		19.1	27.26875		26.9
	19.125			27.381250000000005
	19.46875			27.587500000000002
سبتمبر	19.38125			28.01875
	19.41875			28.062500000000004
	19.13125			26.749999999999996
	19.100000000000005			26.2625
	18.30625			25.943750000000005
	18.393750000000004			26.837500000000002
	17.73125			27.743750000000006
	17.475			26.09375
	16.731249999999996			25.75625
	16.84375			24.749999999999993
	16.54375			25.45625
	17.224999999999998			26.025000000000002
	18.46875			25.049999999999997
	17.581249999999997			25.912500000000005
	16.95625			26.256249999999994
	17.00625			26.249999999999996
	16.937500000000004			25.762500000000006
	17.23125			25.762500000000003
	15.8625			25.999999999999996
	14.362499999999999			23.51875
	13.63125			21.987500000000004
	14.149999999999999			21.006249999999994
	14.693750000000003			22.1
	15.15			23.624999999999996
	14.668750000000001			23.968750000000004
	14.6			22.712500000000002
	14.293749999999998			22.56875
	13.687500000000002			22.34375
	14.0125			22.2625
	14.331249999999999			23.03125
أكتوبر	13.8			22.049999999999997
	14.100000000000001			21.55
	13.025			21.993750000000002
	12.6625			22.006249999999998
	13.081249999999999			21.856249999999996
	12.225			20.749999999999996
	12.156249999999998			21.1125
	12.456249999999999			21.70625
	12.6875			22.08125
	11.7375			21.162499999999994
	11.875			19.737499999999997
	11.0375			20.13125
	11.431249999999999			20.16875
	11.887500000000001			20.775000000000002
	11.587499999999999			20.474999999999998
	11.31875			20.58125
	11.55			20.78125
	11.962500000000002			20.66875
	11.343749999999996			20.74375
	10.606250000000001			20.574999999999996
	10.637500000000003			19.325
	10.337499999999999			18.25625
	9.45			17.875
	9.09375			17.3
	9.018749999999999			18.33125
	9.275			17.9875
	9.475			16.93125
	8.525			17.2875
	8.44375			17.09375
	8.500000000000002			17.4125
	8.287500000000001			17.66875
نوفمبر	8.96875			17.768749999999997
	8.162500000000001			15.856250000000001
	7.843750000000001			15.912500000000001
	7.218749999999999			14.84375
	7.218750000000001			15.9875
	7.1375			16.05625
	7.956249999999999			15.637500000000003
	6.35625			14.8
	5.26875			13.293750000000003
	4.3125			12.112499999999999
	3.4499999999999997			13.006249999999998
	3.9937499999999995			12.88125
	4.843749999999999			13.2875
	4.91875			13.643749999999999
	4.3062499999999995			11.98125
	3.5375			11.162500000000001
	2.13125			11.556249999999999
	2.3875			12.3625
	2.9374999999999996			12.468749999999998
	2.9562499999999994			12.250000000000002
	3.006250000000001			12.3625
	2.76875			12.512500000000003
	2.66875			12.04375
	3.1687500000000006			12.3
	2.5875			12.28125
	2.1375			11.1
	1.0875000000000001			9.225000000000001
	1.25			9.612499999999999
	0.58125			9.63125
	0.78125			8.987499999999999
ديسمبر	0.8250000000000001			8.343750000000002
	-0.4125000000000001			8.34375
	-0.9687500000000001			9.2875
	0.03749999999999992			9.424999999999999
	0.4			10.568749999999998
	0.34375			9.38125
	0.48125			9.73125
	0.6625			9.825000000000001
	0.32499999999999996			9.612499999999999
	0.07500000000000005			8.712499999999999
	-0.13124999999999998			8.46875
	-0.3937499999999999			8.8625
	-0.7437500000000001			8.306250000000002
	-0.575			9.506249999999998
	-0.3874999999999999			9.850000000000001
	-0.75625			9.318749999999998
	-1.7			8.673333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

39°C

أعلى درجة حرارة

11 يوليو 26

-7°C

أدنى درجة حرارة

21 يناير 26

التفصيل الموسمي

أحر شهريوليو34.97°C

أبرد شهريناير0.81°C

أكثر شهر أمطارًاأغسطس10.29mm

أكثر شهر رياحًاأغسطس24.68km/h

Nanyang 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 Nanyang تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Nanyang، مع متوسط درجات حرارة قصوى تبلغ حوالي 33°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 41°C في 2022-08-15.

2. ما هو أبرد شهر في Nanyang تاريخيًا?

يناير هو أبرد شهر في Nanyang، مع متوسط درجات حرارة دنيا تبلغ حوالي -1°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -11°C في 2018-01-12.

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

يبلغ متوسط هطول الأمطار السنوي في Nanyang تقريبًا 864.7mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Nanyang تاريخيًا حوالي 131.8 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 19.8 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Nanyang هي 41°C في 2022-08-15.

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

أدنى درجة حرارة مسجلة على الإطلاق في Nanyang هي -11°C في 2018-01-12.

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

تشهد Nanyang أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 45.7 كم/ساعة في 2026-02-15.

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

عادةً، تبلغ رطوبة Nanyang ذروتها في أغسطس بحوالي 73.1% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 44.6%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Nanyang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanyang 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

Nanyang السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanyang 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

Nanyang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا