Nanchang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanchang رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.6312499999999996	5.3		11.306249999999999	9.9
	4.575	4.2		12.237500000000002	9.1
	5.05	2.9		12.3375	10.8
	5.468750000000001	6.5		12.318749999999998	8.6
	5.84375	6		11.50625	11.3
	5.3999999999999995	6		11.5875	12.6
	4.75	3.7		10.21875	12.7
	4.26875	4.8		10.3125	13.2
	4.3999999999999995	5.1		10.65625	14.1
	4.3	6.6		10.293750000000001	15.9
	4.24375	6		10.549999999999999	13.2
	3.8624999999999994	6.9		11.78125	14.5
	4.60625	6.3		12.5625	18.6
	5.00625	9.4		12.6	21.7
يناير	4.075	11.4		10.981249999999998	21.2
	4.231249999999999	12.5		10.893749999999999	19.4
	4.331250000000001	13.6		11.706249999999997	19.4
	4.2562500000000005	11.5		11.89375	22.2
	4.76875	8.5		12.65	16.7
	5.0562499999999995	1.6		12.543750000000001	7.9
	4.8	1.3		11.600000000000001	5.1
	4.15	0.7		10.293750000000003	7.7
	3.7	2.4		10.706249999999999	11.7
	3.6624999999999996	5.1		10.981249999999998	15
	4.11875	8.4		10.631250000000001	19.4
	3.9749999999999996	8.1		10.13125	11.3
	4.29375	7.3		10.137500000000001	10.3
	4.05	5		10.9125	13.7
	4.4625	6.6		11.356250000000001	14
	4.475	6.8		12.506249999999998	9.9
	5.5875	4.1		12.674999999999999	6.9
	5.762499999999999	5.9		11.925	10.8
	5.38125	4.9		11.049999999999999	14.2
	4.975	5.9		11.287500000000001	15.8
	5.174999999999999	11		10.831249999999999	16
	4.718749999999999	12.4		11.581249999999997	15
	5.51875	6		11.693749999999998	12
	3.9250000000000007	5.2		11.26875	8
	4.03125	3.5		10.65	9.9
	4.281249999999999	2.7		10.631250000000003	7.4
	3.9312499999999995	5.5		10.693749999999998	7.8
	4.6937500000000005	3.4		11.4625	14.9
	5.837500000000001	6.9		12.78125	16.1
	5.55	10.2		13.1875	15.4
	5.9625	11.8		13.806249999999997	22.5
فبراير	5.5875	13.7		12.868750000000002	25.3
	5.7124999999999995	4.9		11.9375	16.7
	6.075000000000001	4.7		13.924999999999999	8.9
	5.90625	6.6		13.625000000000004	14.4
	6.5625	8.4		13.743749999999999	11.2
	5.987499999999999	5.7		14.093749999999998	18.5
	6.1812499999999995	9.4		13.01875	23.8
	6.55	14.1		13.293749999999998	23
	6.824999999999999	12.1		13.19375	22.6
	7.862500000000001	10.7		14.531249999999998	16.6
	8.518749999999999	10.2		14.68125	17.8
	7.8625	12.9		14.50625	13.9
	7.7562500000000005	11.1		15.700000000000001	13.8
	8.593749999999998	11.2		17.05625	17.2
	8.14375	13.5		15.14375	16
	7.606249999999999	9.2		14.562499999999998	12.7
	7.8062499999999995	9.1		14.8625	12.7
	7.8375	9.7		15.73125	16.2
	9.200000000000001	9.3		15.00625	16.6
	8.3875	9.2		14.649999999999999	16.2
	7.925	7.9		15.23125	15.6
	8.25	9		15.506250000000001	11.9
	7.981250000000002	10.5		17.0625	15.5
	8.5	7.7		16.131249999999998	17.6
	8.80625	10		17.706249999999997	20.8
	10.125	11		19.29375	17.4
	10.19375	9.6		18.9875	19.5
	11.23125	10.7		19.193749999999998	23.2
مارس	10.706249999999999	12.3		19.16875	19.3
	10.94375	11.3		18.93125	13.7
	10.98125	11.3		18.893749999999997	19.7
	12.012500000000003	11.1		19.037499999999998	13.6
	11.375	10.7		18.931250000000002	11.7
	11.681249999999999	10.9		18.65625	13
	10.45	11.1		18.193749999999994	15.9
	11.2	14.5		18.8375	16.3
	11.19375	14.2		19.0875	17.7
	10.80625	13.4		17.68125	14.9
	11.38125	14		19.837499999999995	20.1
	11.243750000000002	15.5		20.875000000000004	17
	12.0375	15.1		22.25	19.8
	11.3875	14		21.325000000000003	16.9
	12.475000000000001	15.4		21	19.6
	13.26875	15.5		20.3	24.6
	13.325	12.8		20.34375	15.4
	13.412499999999996	11.5		21.75625	22.5
	13.1125	14.5		22.75	18.5
	14.40625	14.5		22.243749999999995	16.6
	13.8375	12.9		21.40625	22.1
	12.99375	15		20.981250000000006	24.5
	12.89375	18		20.4125	19.5
	12.799999999999997	17.4		21.2	23
	13.275	16.5		22.375	25
	13.437500000000002	20.4		23.443749999999998	31.1
	14.618750000000004	20.8		23.20625	25.4
	15.71875	18.5		23.674999999999997	21
	15.025000000000002	16.6		23.293750000000003	22.3
	14.250000000000002	18.4		22.24375	23.9
	14.237499999999999	17.6		22.65	22.1
أبريل	14.8125	17.7		23.862500000000004	20.5
	15.93125	18		24.843749999999996	21
	15.893749999999999	17.4		25.781249999999996	25.9
	17.01875	18.2		25.537500000000005	26.8
	16.6625	18.5		24.225000000000005	28.9
	16.562499999999996	16.7		24.7625	26.2
	16.85625	15.1		24.4	17.2
	16.28125	12.5		22.943749999999998	15
	16.0875	13		23.68125	17.6
	16.325	14.4		23.437500000000004	21.7
	16.99375	15.3		23.9375	25.3
	16.706250000000004	17.5		24.450000000000003	28
	17.04375	19.6		25.218750000000004	30.4
	17.581249999999997	13.3		26.287499999999994	19.8
	17.475	11.5		25.95	14.4
	17.2875	10		26.5625	20.4
	17.89375	12.9		27.593750000000004	24
	18.193750000000005	17.9		27.356249999999996	27
	18.5125	18.3		27.406249999999996	24.3
	18.71875	17		25.875000000000004	26
	19.075000000000003	17.6		27.306250000000002	27.2
	19.418750000000003	18.5		26.631249999999998	29.9
	19.125000000000004	19.5		27.1	23.7
	19.681250000000002	16.3		26.337500000000002	18.1
	19.275000000000002	15.9		27.275	20.7
	19.125	15.8		26.124999999999996	25.3
	18.18125	18.9		26.275000000000002	28.8
	19.04375	20.5		27.143749999999997	27.9
	19.387500000000003	19.1		27.84375	23.6
	20.25625	20.9		28.275000000000002	25.9
مايو	20.381249999999998	21		27.368750000000002	26.4
	19.343750000000004	21.1		27.106249999999996	29.5
	19.725	20.8		27.993750000000002	29.8
	20.624999999999993	22		28.537499999999998	28.9
	20.956250000000004	22.1		28.46875	28.2
	21.375	21.9		28.218749999999996	23.2
	20.631249999999998	21.8		28.174999999999997	27.4
	19.90625	22.1		25.925000000000008	29.5
	19.193749999999998	23.7		26.4375	31.5
	19.650000000000002	24.9		27.793750000000003	30.5
	21.224999999999998	25.3		28.75	32.5
	21.200000000000003	25.1		28.3875	31.8
	21.21875	22.9		28.9875	26.7
	20.85	23.7		28.599999999999998	30.5
	20.94375	21.9		28.556250000000006	28.5
	20.975	20.1		28.3875	26.4
	21.212500000000002	21.9		28.481250000000003	30.4
	21.618750000000002	23.4		28.0375	32
	21.525000000000002	24.4		26.887500000000006	33.8
	20.825	25		27.293750000000003	32
	21.149999999999995	24.8		28.062500000000004	31.5
	21.368750000000002	23.7		27.918750000000003	31.7
	21.6625	23.3		28.787499999999998	31
	22.631249999999998	22.9		30.243750000000002	29.7
	22.95625	17.9		29.76875	20.6
	23.293750000000003	17.7		29.787499999999998	22.9
	22.98125	16.3		29.03125	28.1
	22.531250000000004	18.7		29.343750000000004	29.7
	22.34375	19.3		29.15	26.5
	22.325	18.7		28.487500000000008	20.3
	22.343750000000004	19.8		30.243750000000006	27.4
يونيو	23.19375	20.3		30.6375	30
	23.493750000000002	22.8		30.7375	29.8
	23.6625	22.5		30.0875	33
	23.537499999999998	24.2		30.018750000000008	29.1
	23.725	23.6		29.400000000000002	26
	23.706249999999997	23.3		28.837500000000002	31.6
	23.525000000000002	23.6		29.418750000000003	30.4
	23.325	23.3		29.537499999999998	31.4
	23.412499999999998	22.1		29.593750000000004	23.8
	24.025000000000002	21.9		29.612500000000004	24.8
	23.4375	21.6		29.637499999999996	28.5
	23.681250000000002	22.9		30.356250000000003	29.7
	24.03125	22.7		30.4	31.6
	24.575000000000006	22.5		30.125	32
	24.74375	24.2		30.85625	27.9
	25.175	23.2		31.56875	26.2
	25.268750000000004	23.6		31.55	26
	25.668750000000003	23.9		32.33125	27.8
	25.80625	23.4		32.025	31.3
	25.53125	24.9		32.362500000000004	32.4
	26.03125	24.6		32.1625	30.5
	25.693749999999994	24.3		32.6	32.9
	25.949999999999996	24.5		32.475	31
	25.51875	23.8		32.68125	29.4
	25.66875	24.3		32.49374999999999	30.7
	26.325000000000003	25.6		33.5625	34.1
	26.468749999999996	26.4		33.737500000000004	35.1
	26.5625	24.8		33.918749999999996	27.9
	26.6125	24.9		33.58125	33.5
	26.6375	25.3		33.65624999999999	35
يوليو	26.3125	26.2		33.349999999999994	33.4
	26.025000000000002	26.2		33.2375	34.5
	26.00625	26.8		32.8125	35.8
	26.125	27.4		33.2375	36
	26.281249999999996	25.9		33.362500000000004	30.9
	26.593750000000004	25		34.056250000000006	29.8
	27.050000000000004	24.9		33.9625	26.6
	26.812500000000004	24.7		34.231249999999996	30.9
	27.231249999999996	25.4		35.06875	28.8
	27.15625	25.6		34.837500000000006	34.8
	27.41875	27.1		35.49375	36.1
	27.218749999999996	25.3		34.9625	29
	27.512500000000003	23.7		34.675000000000004	25.7
	27.318749999999998	24.2		34.53125	29.3
	27.312499999999996	24.3		34.93749999999999	29.2
	27.275000000000002	24.8		35.08125	30.6
	27.475	24.7		35.525	33.7
	27.674999999999997	24.3		35.525	34.8
	27.637500000000003	25.8		35.925	34.3
	27.61875	26.1		35.43125	35
	27.7375	27.4		35.612500000000004	35.7
	27.86875	26.1		35.693749999999994	36
	27.675000000000004	25.8		35.99999999999999	35.1
	27.462500000000002	26.5		35.53125	34.4
	27.324999999999996	26		35.212500000000006	33.4
	27.237499999999997	26.6		35.300000000000004	33.7
	27.275	24.9		34.9	27.1
	26.856249999999996	24.1		33.9625	28.3
	26.868750000000002	23		34.75	30.8
	26.537499999999994	24.5		34.306250000000006	31.4
	26.718750000000004	24.7	24.7	33.818749999999994	25.9	26.3
أغسطس	26.724999999999998		24.7	34.21874999999999		28.9
	27.075		23.9	34.24375		31.7
	26.80625		25.2	34.81875		32.8
	26.7625		25.4	34.59375		31.7
	26.7125		25.8	34.574999999999996		32
	26.7625		25.8	34.71874999999999		33.4
	26.718750000000004		25.2	34.90625		31.8
	26.206250000000004		25.7	33.85625		31.3
	25.925000000000004		26.2	33.456250000000004		33.9
	25.69375		25.8	33.5		33.8
	25.568749999999998		25.7	33.318749999999994		33.5
	25.493750000000002		25.3	33.3875		33.3
	25.28125		25.3	33.262499999999996		33
	25.037499999999998		25	32.93749999999999		32.9
	25.04375		24.9	32.675		33
	24.2		24.1	31.731250000000003		31.6
	24.06875		24.1	32.10625		31.8
	24.15		23.8	31.73125		31.2
	24.356249999999996		24.1	31.475000000000005		32
	24.349999999999998		24.2	32.11875		31.6
	23.9375		23.7	32.256249999999994		32.1
	23.487499999999997		23.6	31.475		32
	23.587499999999995		24.1	31.706250000000004		32
	24.00625		24	31.831250000000004		32.5
	23.85625		24.1	32.94375		32.9
	24.175		24.1	32.875		32.6
	24.093750000000004		23.6	32.318749999999994		31.5
	23.49375		23.4	31.187499999999996		31.4
	23.45625		23.5	31.206249999999997		31.5
	23.156249999999996		22.9	30.756249999999998		30.3
	23.099999999999998			30.549999999999994
سبتمبر	22.956249999999997			30.84375
	22.881249999999998			31.481250000000003
	23.012500000000003			31.593749999999993
	22.206249999999997			30.8625
	22.275			30.0375
	21.475			28.98125
	20.968749999999996			28.450000000000006
	20.625			27.65625
	20.575			27.000000000000004
	20.218749999999996			28.037500000000005
	20.825000000000003			27.918749999999996
	21.15			28.731249999999996
	21.531250000000004			29.875
	21.7625			29.637500000000006
	20.900000000000002			28.90625
	20.5625			27.7625
	20.59375			28.76875
	20.4875			29.131250000000005
	20.2875			29.187500000000004
	19.1875			28.024999999999995
	18.89375			26.65
	18.44375			25.98125
	19.08125			25.65
	18.84375			25.85625
	18.812499999999996			26.35625
	18.93125			27.0625
	18.19375			26.237499999999997
	17.9875			26.462500000000002
	17.625			24.96875
	17.7625			25.043750000000003
أكتوبر	17.200000000000003			24.4875
	16.74375			24.106250000000003
	17.193749999999998			24.425
	16.78125			24.287499999999998
	16.4625			23.431250000000002
	16.025			23.218750000000004
	16.125			23.618750000000002
	16.4375			24.231249999999992
	16.59375			23.643750000000004
	15.775			23.287499999999998
	15.549999999999999			22.4375
	15.512500000000001			23.04375
	15.54375			22.5625
	15.8			23.187500000000004
	15.6125			23.1
	15.312499999999998			22.112500000000004
	14.862499999999999			22.5875
	15.225000000000001			22.575
	14.69375			21.993749999999995
	14.793749999999998			22.306250000000002
	14.862500000000002			22.5375
	14.918750000000001			22.65
	14.625			22.9125
	13.925			21.9375
	13.243750000000002			20.281250000000004
	13.11875			20.418750000000003
	12.81875			20
	12.85			19.874999999999996
	12.775			20.00625
	12.587499999999999			19.331249999999997
	12.743749999999999			20.150000000000002
نوفمبر	12.86875			20.5
	13.356250000000003			19.831249999999997
	13.1625			19.512500000000003
	11.756249999999998			18.318750000000005
	11.8125			19.093749999999996
	11.6875			18.825000000000003
	12.1875			19.037499999999998
	12.28125			19.25625
	11.443750000000001			19.1125
	9.3			16.7625
	8.881250000000001			15.981250000000003
	9.65625			16.575
	9.443750000000001			16.975
	10.212499999999999			17.29375
	9.73125			17.206249999999997
	8.275			15.250000000000002
	8.2			14.106249999999998
	7.50625			14.668750000000001
	8.093750000000002			15.31875
	8.00625			15.062500000000002
	7.725000000000001			15.318750000000001
	7.775000000000001			15.399999999999999
	7.4750000000000005			14.95
	6.8875			14.825000000000001
	7.6937500000000005			14.74375
	7.66875			14.862499999999999
	7.5874999999999995			13.6875
	6.825			12.31875
	6.637499999999999			13.0125
	6.906249999999999			14.20625
ديسمبر	5.912499999999999			12.612499999999999
	5.11875			10.912500000000001
	3.71875			10.3875
	3.5375			10.81875
	5.05			11.75
	5.000000000000001			11.51875
	5.35			12.43125
	5.23125			12.206249999999997
	5.1625			11.768749999999999
	4.74375			12.05
	4.587499999999999			11.5875
	4.55			11.89375
	5.05625			11.875000000000002
	5.1625			11.337499999999999
	4.9875			11.9375
	4.30625			12.162500000000001
	3.4600000000000004			11.386666666666665

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

36°C

أعلى درجة حرارة

25 يوليو 26

1°C

أدنى درجة حرارة

22 يناير 26

التفصيل الموسمي

أحر شهرأغسطس32.56°C

أبرد شهريناير6.28°C

أكثر شهر أمطارًاأبريل11.82mm

أكثر شهر رياحًاأغسطس16.89km/h

Nanchang 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 Nanchang تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Nanchang، مع متوسط درجات حرارة قصوى تبلغ حوالي 34°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 42°C في 2010-08-04.

2. ما هو أبرد شهر في Nanchang تاريخيًا?

يناير هو أبرد شهر في Nanchang، مع متوسط درجات حرارة دنيا تبلغ حوالي 5°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -7°C في 2010-12-17.

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

يبلغ متوسط هطول الأمطار السنوي في Nanchang تقريبًا 1783.7mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Nanchang تاريخيًا حوالي 192.9 يوم مطر سنويًا. يشهد يونيو أكبر عدد من أيام الأمطار بمتوسط 23.4 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Nanchang هي 42°C في 2010-08-04.

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

أدنى درجة حرارة مسجلة على الإطلاق في Nanchang هي -7°C في 2010-12-17.

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

تشهد Nanchang أقوى رياحها خلال أكتوبر. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 46 كم/ساعة في 2016-09-28.

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

عادةً، تبلغ رطوبة Nanchang ذروتها في يونيو بحوالي 83.4% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 60.4%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Nanchang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanchang 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

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

Nanchang السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Nanchang 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

Nanchang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا