Nanning السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanning رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	10.38125	14.9		18.793750000000003	21.1
	11.168750000000001	10.5		19.55625	13.4
	11.6375	11		19.23125	18.8
	11.731250000000001	12.4		18.1625	18.7
	12.368749999999999	13.2		19.043750000000003	16
	12.775000000000002	11.6		18.55625	14.1
	11.537500000000001	8.6		17.768749999999997	17.5
	10.993750000000002	9.4		16.3125	18.4
	10.962500000000002	9.8		15.525	19.9
	11.212499999999999	11.1		15.53125	22.1
	10.168750000000001	12.2		14.668750000000003	22.3
	9.225	11.9		15.34375	20.9
	9.9	13.5		16.7	23.6
	10.55625	13.9		17.15	25.4
يناير	10.51875	14.5		16.99375	25.8
	10.2	15.5		17.5	25.5
	10.062499999999998	17.2		16.91875	24.6
	10.23125	17.7		18.068749999999998	27.3
	10.437499999999998	16.5		18.756250000000005	25
	11.306250000000002	17.5		18.162499999999998	21.1
	11.418750000000001	13.4		18.331249999999997	18.3
	10.625	7.7		18.000000000000004	9.1
	10.350000000000001	7.4		17.40625	12
	10.849999999999998	12.4		16.65625	16.1
	11.19375	13.9		16.918749999999996	17.6
	10.518749999999999	15.1		16.224999999999998	20.9
	10.600000000000001	16.4		17.362499999999997	22
	10.94375	12.5		16.85625	24.8
	10.475	15.7		17.875	22.5
	11.2375	17		18.09375	23.8
	11.43125	14.6		18.4625	20.1
	12.15	14.8		18.74375	18.5
	12.387500000000003	15.1		19.5625	19.2
	12.2125	13.3		18.587500000000002	24.2
	12.100000000000001	15.3		17.775	23.6
	11.774999999999999	16.1		18.774999999999995	25
	12.793750000000003	17.1		19.981249999999996	25
	12.718749999999998	14.8		19.24375	21
	11.387500000000001	10.5		18.193749999999998	16.4
	10.59375	10.7		17.174999999999997	13.9
	11.187499999999998	15.4		17.45625	20.7
	10.700000000000001	14.2		17.881249999999998	15.4
	11.418750000000001	14.2		18.881249999999998	23.7
	12.04375	17.7		18.712500000000002	23.8
	12.1	16.8		19.65625	28.4
فبراير	12.36875	18.2		18.868750000000002	29.9
	12.356249999999998	18.3		18.01875	28.3
	12.46875	15.2		19.5625	20.9
	12.99375	16.4		19.475	24.6
	12.83125	17.2		19.59375	22.3
	12.95	16		20.9	24.9
	13.4625	17.5		20.94375	29
	13.625000000000002	18.4		20.1125	25.6
	12.55	20.2		18.781249999999996	26.2
	13.237499999999999	20.1		20.21875	26.1
	14.081250000000002	20.6		20.543749999999996	24.7
	13.737499999999999	20.3		20.262500000000003	26.6
	13.981250000000001	19.6		21.462500000000002	27.4
	14.912500000000001	21.6		22.60625	28.7
	15.225000000000001	23		23.85	32.7
	14.89375	18.3		23.025	24.2
	15.187499999999998	14.7		22.075	18.9
	15.062499999999998	16.4		21.63125	22.5
	15.09375	16.9		23.462499999999995	25.3
	15.6125	18.8		21.90625	27.3
	14.331249999999997	19.2		20.59375	26.2
	14.350000000000001	18.7		20.250000000000004	25.8
	14.493750000000002	15.9		20.325000000000003	20.9
	14.425000000000002	12.2		21.39375	22.1
	14.462500000000002	14.8		21.081249999999997	25.3
	15.699999999999998	17.8		22.61875	27.4
	16.74375	20		24.124999999999996	25.6
	17.0875	16.3		23.924999999999997	25.7
مارس	16.1625	18.9		22.462500000000002	24.2
	16.34375	19.3		21.556249999999995	25.9
	17.112499999999997	19		23.050000000000004	26.5
	17.550000000000004	19.3		24.693749999999998	27.6
	17.799999999999997	18.8		26.081250000000004	29.9
	18.33125	20.7		26.418750000000003	29.6
	18.03125	20.3		25.525000000000002	29.6
	17.375	20.9		25.79375	29.3
	17.5375	21.3		25.543750000000003	31
	16.356250000000003	21.3		24.06875	33.1
	16.887500000000003	21.4		24.024999999999995	33.5
	16.8125	22.2		24.64375	35.2
	16.96875	22.2		24.975000000000005	33.5
	17.49375	22.3		25.525000000000002	33.5
	17.70625	23.7		24.849999999999998	33.1
	18.4625	23.4		25.525000000000002	36.3
	18.050000000000004	21.2		25.175000000000004	35.5
	17.925	19.7		25.5	30
	18.256249999999998	22.8		26.581249999999997	33.6
	19.056250000000002	22.4		27.381249999999998	36.5
	19.124999999999996	22.1		27.093750000000004	31.4
	19.5625	24.4		27.5375	36.5
	19.0625	24.2		25.706250000000004	39.7
	18.35625	25.5		25.112500000000004	36.5
	17.51875	25		24.71875	37.5
	18.018749999999997	24.1		25.674999999999997	39.2
	19.412499999999998	24.5		27.275000000000006	38.8
	19.868750000000002	25.1		26.925	40
	20.01875	25.7		28.062499999999996	39.5
	19.825	24.4		28.0625	37.8
	19.1875	24.5		27.8125	37.8
أبريل	19.35	24.4		27.574999999999996	37
	18.993750000000002	24.1		28.031249999999996	36.9
	19.73125	23.3		27.15	29.6
	20.387500000000003	21		28.906250000000004	30.4
	21.193749999999998	23.5		29.662499999999994	31.6
	21.8	23.2		30.04375	30.6
	21.575000000000003	22.7		29.587500000000002	31.3
	21.068750000000005	23		28.556250000000006	31.2
	20.549999999999997	20.1		28.218750000000007	27.3
	20.90625	20.4		28.03125	28.6
	20.693749999999998	21		27.9375	31.1
	20.1125	21.9		27.962500000000006	29.6
	20.3	22.9		28.224999999999994	29.8
	21.287499999999994	23.7		28.981249999999996	29.8
	21.418750000000003	17.6		29.10625	22.3
	21.087500000000002	16.4		29.44375	25.8
	20.956249999999997	18.6		28.9125	27.5
	21.775	22.5		29.8	30.6
	21.65625	18.4		29.393749999999997	23
	21.674999999999997	16.2		29.331250000000008	27.2
	22.131250000000005	20		29.374999999999996	30.1
	22.493750000000002	22.5		30.593749999999996	30.7
	22.774999999999995	23.7		29.525	31
	22.75	23		30.2125	25.9
	22.55	20.6		30.056250000000002	28
	22.549999999999997	19.4		30.293750000000003	24
	22.25625	20.6		29.8625	29.1
	22.037500000000005	22.7		29.562500000000004	31.5
	22.3625	25.1		29.537499999999998	31
	23.1125	24.1		30.018750000000004	35.8
مايو	22.587500000000002	24.7		30.418750000000003	35.3
	22.312499999999996	24.6		29.43125	30.9
	22.24375	24.5		30.9375	30.3
	22.700000000000006	23.7		31.174999999999997	30.3
	23.59375	24.3		30.999999999999996	30.3
	23.581250000000004	24.1		30.156250000000004	27
	23.46875	23.9		30.8875	29.7
	23.581249999999997	24.6		31.450000000000003	32.3
	22.900000000000002	25.6		29.593750000000007	34.2
	22.5625	26.4		29.718750000000004	33.6
	22.6375	26.8		29.974999999999998	35.9
	23.181250000000002	27.3		30.699999999999996	35.9
	23.35625	27.1		30.306250000000006	36.3
	23.38125	26.6		31.43125	35.1
	23.76875	25.5		30.812500000000004	36.3
	23.79375	24.3		31.5375	28.4
	23.987499999999997	24.3		31.83125	34.6
	24.125	25.1		31.606250000000003	35.4
	24.118750000000002	26		31.668749999999996	36.1
	24.25	25.7		32.368750000000006	35.8
	24.587500000000002	26		32.143750000000004	33.5
	24.131249999999998	25		31.187499999999996	33.5
	24.175	25.7		30.96875	33.5
	24.4125	25.9		31.000000000000004	34.6
	24.85625	22.9		31.706249999999994	29.7
	24.956249999999997	21.3		31.15	28
	24.44375	23.1		30.44375	30.7
	24.293750000000003	23.1		30.331249999999997	32.3
	24.34375	24		31.26875	31.5
	24.2625	25.5		31.4625	33
	24.26875	24.5		31.35	30.7
يونيو	24.64375	24.8		31.8125	27.4
	24.8	24.1		31.418750000000003	31.4
	24.693749999999998	24.5		31.4125	30.1
	24.881249999999998	24.7		32.18125	30.6
	25.156249999999996	25.6		32.662499999999994	30.5
	25.331250000000004	24.8		32.787499999999994	33.3
	25.162499999999998	25.6		32.275000000000006	33.7
	25.299999999999997	26.5		32.631249999999994	33.4
	24.981250000000003	25.5		31.65625	33.4
	24.7375	26		30.768749999999997	34.8
	24.549999999999997	25.1		30.85625	32.3
	24.693749999999998	24.6		31.19375	29.3
	24.881249999999998	24.7		31.4125	30.9
	25.162499999999998	24.9		32.375	33.5
	25.18125	25.3		32.212500000000006	32.2
	25.237499999999994	24.7		32.25	30.8
	25.256249999999998	24.2		32.2875	31.1
	25.1625	24.6		32.1625	33.5
	24.987499999999997	24.6		32.1625	31.9
	24.975	24.4		32.306250000000006	27.4
	24.80625	23.9		31.987500000000004	24.7
	24.718750000000004	24		32.668749999999996	28.7
	24.968749999999996	24.6		32.737500000000004	28.6
	24.812499999999996	24.2		31.950000000000003	30.7
	24.637499999999996	24.4		32.71874999999999	31.1
	24.850000000000005	24.6		32.43125	31.9
	24.999999999999996	24.6		32.887499999999996	33
	25.281250000000004	24.9		33.125	33.9
	25.250000000000004	25.3		32.94375	34.7
	25.162499999999994	26		32.25625000000001	35
يوليو	25.093750000000004	25		32.8125	27.5
	25.343749999999993	24.9		32.962500000000006	31.7
	25.318749999999998	25		33.31875000000001	32.2
	25.2	24.9		32.5875	31.6
	25.193749999999998	25.4		32	32.6
	25.299999999999997	24.5		32.075	29.2
	25.0625	24.2		31.775	26.9
	24.800000000000004	24		32.4375	32.4
	24.868750000000002	24.5		32.09375	32
	25	24.2		31.781250000000007	31.1
	24.89375	24.3		32.38125	33.7
	25.0125	25.3		32.7625	35
	25.11875	25.5		32.681250000000006	34.6
	25.237499999999994	25.5		32.075	30.6
	25.025	23.9		31.8625	30.9
	25.00625	24.2		32.34375	30.6
	24.925	23.9		32.65625000000001	30.5
	25.043750000000003	24.3		31.7875	30.1
	24.968750000000004	24.4		32.493750000000006	31
	25.075	24.9		32.137499999999996	32.1
	24.887500000000003	25.2		31.881249999999998	30.5
	24.99375	24.7		32.199999999999996	29.3
	24.843749999999996	24.6		32.05	31.1
	24.84375	24.5		31.943749999999998	34.3
	25.15000000000001	26		32.84375	35.4
	25.381250000000005	26.2		33.26875	35.4
	25.562499999999996	26.7		32.55	35.9
	25.4125	26.4		32.79375	36.2
	25.637500000000003	27.1		32.95625	36.8
	25.387499999999996	26.6		32.64375	35.8
	25.31875		25.7	31.806250000000006		34.9
أغسطس	24.881249999999998		26.2	31.2875		34.9
	24.7375		26.9	31.693750000000005		35.2
	24.724999999999998		26.6	31.8625		35.1
	24.8125		25.9	31.625		33.3
	24.7		25.9	30.8375		30.2
	24.525000000000002		24.9	31.924999999999997		32.2
	24.681249999999995		24.8	32.24375		34.4
	24.9875		26.4	32.8375		33.8
	24.96875		24.8	32.43125		32.4
	24.76875		24.9	31.53125		32.3
	24.5625		24.6	32.425000000000004		32.7
	24.575000000000003		24.7	31.843749999999996		31.9
	24.568749999999998		24.5	32.125		32.4
	24.21249999999999		24.3	32.0375		32.1
	24.20625		24.2	31.725		31.8
	24.112500000000008		24	32.04375		32
	24.318749999999998		24.3	32.45		32.4
	24.424999999999997		24.4	32.06875		31.9
	24.45		24.2	31.46249999999999		31.7
	24.0125		24.1	31.412499999999998		31.6
	24.212499999999995		24.2	32.225		32.1
	24.18125		24.3	32.212500000000006		32.2
	24.53125		24.6	32.806250000000006		32.8
	24.80625		24.6	32.3375		31.7
	24.249999999999993		24.3	30.4375		30.8
	24.049999999999994		24.1	30.124999999999996		30.7
	24.125000000000004		24.1	31.05		31.1
	24.0125		24.1	31.206249999999997		31.2
	23.987499999999997		23.9	30.79375		31.1
	23.78125		23.5	30.912500000000005		30.8
	23.33125			31.143749999999994
سبتمبر	23.575			31.39375
	23.5			31.5125
	23.643749999999997			31.431250000000002
	23.875			32.212500000000006
	23.5875			31.962500000000006
	23.293750000000003			30.925
	22.793750000000003			30.81875
	23.062499999999996			30.443750000000005
	22.6875			30.293750000000003
	22.69375000000001			30.61875
	22.4375			30.075
	22.575			29.606250000000003
	22.518749999999997			31.356250000000003
	23.0125			31.506249999999994
	22.950000000000003			30.93125
	22.699999999999996			30.15
	22.6375			30.275000000000002
	21.743749999999995			30.21875
	21.668749999999996			30.25
	21.53125			29.79375
	21.81875			29.15625
	21.162499999999998			29.093750000000004
	20.95625			29.081249999999997
	21.118750000000002			30.162500000000005
	21.1875			29.018749999999997
	20.6625			28.1875
	20.4375			28.562499999999993
	20.312500000000004			28.912499999999998
	20.5625			28.887499999999996
	20.3375			28.35
أكتوبر	19.887499999999996			28.06875
	19.862499999999997			27.262499999999996
	19.431250000000002			27.53125
	19.5625			27.281250000000004
	19.2875			26.925000000000004
	19.237499999999997			26.76875
	19.175000000000004			26.775000000000002
	18.750000000000004			26.75625
	18.749999999999996			26.800000000000004
	18.775000000000002			27.125
	19.04375			27.756249999999998
	19.106250000000003			27.88125
	19.26875			27.618750000000002
	19.0375			26.237499999999997
	19.05			25.8
	18.068749999999998			25.225
	17.437499999999996			25.118749999999995
	17.55			26.1375
	16.79375			25.431250000000006
	17.174999999999997			25.287499999999994
	17.7375			26.162499999999994
	18.14375			25.743749999999995
	18.5875			26.45625
	18.375			26.262499999999996
	17.7375			25.200000000000003
	17.15625			24.8375
	17.075			25.41875
	16.86875			24.8375
	16.150000000000002			24.2
	15.887500000000001			24.181249999999995
	16.537499999999998			24.98125
نوفمبر	17.375			25.393749999999997
	17.9			24.70625
	17.325			24.656250000000004
	16.424999999999997			24.29375
	16.212500000000002			23.7
	16.21875			23.712500000000002
	16.612499999999997			23.824999999999996
	16.7875			23.356250000000003
	16.6125			24.256249999999998
	15.468749999999998			22.356250000000003
	14.375			21.400000000000002
	14.39375			22.0125
	14.41875			22.18125
	14.656250000000002			22.2
	14.774999999999999			22.6375
	14.05			22.00625
	13.33125			19.61875
	12.0125			19.6
	12.418750000000001			20.325000000000003
	12.618750000000002			20.1125
	12.825			20.968750000000004
	12.718750000000002			20.843749999999996
	11.80625			19.681250000000002
	11.581249999999999			19.4625
	12.0875			19.75
	12.618749999999999			20.6875
	12.681249999999999			20.1375
	11.768749999999999			18.599999999999998
	12.062500000000002			18.61875
	12.3125			18.5625
ديسمبر	12.062499999999996			18.24375
	11.08125			17.325
	10.21875			17.2625
	9.412500000000001			17.525000000000002
	9.881250000000001			17.406249999999996
	10.84375			18.087500000000002
	11.4625			19.5875
	11.431250000000002			19.749999999999996
	11.437500000000004			19.0375
	11.218749999999998			18.875
	10.793750000000001			18.912499999999998
	10.28125			18.462500000000002
	10.968749999999998			17.58125
	10.7625			17.19375
	11.06875			17.5
	10.393749999999999			17.831249999999997
	9.633333333333333			17.586666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

40°C

أعلى درجة حرارة

11 أبريل 26

7°C

أدنى درجة حرارة

23 يناير 26

التفصيل الموسمي

أحر شهرأغسطس33.38°C

أبرد شهريناير13.19°C

أكثر شهر أمطارًايوليو13.8mm

أكثر شهر رياحًاأبريل22.83km/h

Nanning 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 Nanning تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Nanning، مع متوسط درجات حرارة قصوى تبلغ حوالي 32°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 40°C في 2026-04-11.

2. ما هو أبرد شهر في Nanning تاريخيًا?

يناير هو أبرد شهر في Nanning، مع متوسط درجات حرارة دنيا تبلغ حوالي 11°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي 2°C في 2011-01-12.

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

يبلغ متوسط هطول الأمطار السنوي في Nanning تقريبًا 1853.9mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Nanning تاريخيًا حوالي 245.5 يوم مطر سنويًا. يشهد يونيو أكبر عدد من أيام الأمطار بمتوسط 28.05 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Nanning هي 40°C في 2026-04-11.

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

أدنى درجة حرارة مسجلة على الإطلاق في Nanning هي 2°C في 2011-01-12.

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

تشهد Nanning أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 54 كم/ساعة في 2025-10-06.

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

عادةً، تبلغ رطوبة Nanning ذروتها في يونيو بحوالي 81.1% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 63.3%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Nanning السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanning رسم بياني لاتجاهات الطقس

الملخص السنوي 2026

التفصيل الموسمي

Frequently Asked Questions

المدونات الحديثة عن الطقس

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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

Nanning السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanning 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

Nanning السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا