Xinyu السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Xinyu رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	3.60625	6.3		11.712499999999999	10.8
	4.6625000000000005	4.3		12.524999999999999	9.6
	4.9437500000000005	1.9		12.425	11.2
	5.156250000000001	5.7		12.906249999999998	10.2
	6	6.1		12.056250000000002	10.1
	5.4125000000000005	4.3		11.906250000000002	12.9
	4.7749999999999995	2.3		10.40625	12.7
	4.1375	3.2		10.275	13.3
	4.15625	3.6		10.831249999999999	14.9
	4.15625	5.4		10.28125	16.3
	4.1	4.6		10.374999999999998	14.4
	3.6937499999999996	5.5		11.775	14.7
	4.356250000000001	5.8		12.85	19.5
	5.3500000000000005	8.2		12.399999999999999	22.3
يناير	4.350000000000001	10.8		11.15	22.5
	3.9187500000000006	11.8		10.650000000000002	20.8
	4.0625	13.6		11.712499999999999	20.7
	3.925	11.6		11.68125	23.6
	4.6187499999999995	11.6		12.675	20.4
	4.9625	1.4		12.493750000000002	11
	4.625	1.2		11.837500000000002	5.4
	4.2	1.4		10.70625	8.1
	3.7874999999999996	0.5		10.91875	12.2
	3.5562500000000004	4		10.775	16.1
	4.475	6.7		10.98125	20.7
	4.15625	9		10.45	13.1
	4.125000000000001	7.1		10.406250000000002	8.5
	4.262500000000001	4.4		11.093749999999998	14.9
	4.2749999999999995	5.2		11.806250000000002	13
	4.61875	8.4		12.9	13.1
	5.8125	5.2		12.762499999999998	7.3
	5.843750000000001	4.9		12.649999999999999	9
	5.2375	5.1		11.60625	14.9
	5.55	5.1		11.993749999999999	16.5
	5.568749999999999	10.1		11.312499999999998	22.1
	5.125000000000001	13		12.325000000000001	18.3
	5.49375	7.2		12.043749999999998	13.4
	4.4624999999999995	5.5		11.94375	9.1
	3.9875	4.3		10.9	11
	4.3375	2		10.7625	7.3
	4.15625	5		11.23125	9.2
	4.29375	4.4		11.93125	15.3
	5.5	6.7		13.037499999999996	13.6
	5.7	10.7		13.812500000000002	16.1
	6.143750000000002	11.3		14.175	23.6
فبراير	5.606249999999999	13.5		13.281249999999998	27.3
	5.731249999999999	5.2		11.74375	17.5
	5.9125	4.9		14.268749999999999	7
	6.175000000000001	5.3		13.993749999999999	15.2
	6.4	8.3		13.868749999999999	10.9
	6.062500000000001	5.1		14.531250000000002	19.5
	6.29375	9.1		13.456249999999999	24.7
	6.562499999999999	14.5		13.531249999999998	24.8
	7.024999999999999	12.1		13.424999999999999	26.2
	7.456249999999998	11.3		14.2625	17
	8.275000000000002	10.4		14.84375	17.6
	7.95	13		14.668750000000001	14.2
	7.7125	12.2		16.05625	13.9
	9.04375	10.8		17.90625	16
	8.512500000000001	13.2		16.0625	15.1
	8.21875	10.3		14.518749999999997	12.7
	7.668749999999999	8.7		14.931249999999999	12.8
	7.8	8		15.28125	15.7
	9.043750000000001	9.2		15.087500000000002	16.7
	8.399999999999999	10.6		14.818750000000001	16.7
	7.987500000000001	8.2		14.512499999999998	16.6
	7.925000000000001	9.9		15.343750000000002	12.3
	7.862500000000001	9.5		17.1	11.7
	8.393749999999999	8.1		15.9875	17.4
	8.41875	9.5		17	21.2
	9.537500000000001	10.8		20	19.2
	10.39375	9.2		19.087499999999995	20
	11.36875	10		18.893750000000004	24.7
مارس	10.862499999999999	12.8		18.568749999999998	21.7
	11.16875	11.6		19.287499999999998	18.3
	11.212499999999999	11.7		19.068749999999998	22.4
	11.9625	11.5		19.55	17
	11.887500000000001	10.8		19.58125	12.8
	11.8875	11		19.656249999999996	12.6
	10.831249999999999	10.5		18.50625	14.4
	11.187500000000002	14.2		19.093749999999996	18.6
	11.6125	13.7		19.28125	17.7
	11.05	15.1		18.01875	17.4
	11.1625	14.6		19.875000000000004	19.5
	11.13125	15.4		20.6	18.1
	12.100000000000001	15.7		22.09375	18.5
	11.481250000000001	14.4		21.224999999999998	16.6
	12.75625	15.8		20.999999999999996	18.7
	13.268749999999997	15.7		20.056250000000002	23.2
	12.981249999999996	12.8		20.093749999999996	15.6
	13.249999999999998	12.1		21.8375	22.3
	13.6375	14.7		22.85625	15.9
	14.4625	13.6		22.681250000000002	17
	14.05625	12.4		21.35	22.7
	12.95	14.8		21.45	25.6
	12.774999999999999	18.4		20.25	19.6
	12.625000000000002	17.4		21.04375	22.8
	13.299999999999999	16.3		22.1125	26.9
	13.668750000000001	22.5		22.925	31.8
	13.900000000000002	20.1		22.750000000000004	29.3
	15.3875	19.3		23.331249999999997	22
	14.674999999999999	18		22.8625	20.3
	13.993749999999997	19		22.312499999999996	26.2
	13.793750000000001	18.6		22.58125	21.4
أبريل	14.374999999999998	18.2		23.493750000000002	22.2
	15.10625	17.3		24.556250000000006	21.4
	16.056250000000002	17.6		25.318749999999998	26.3
	16.9625	18		25.524999999999995	27
	16.575000000000003	18.1		24.243749999999995	29.6
	16.625000000000004	17.9		24.275	27
	16.73125	16.6		24.306249999999995	18.7
	16.068750000000005	12.1		22.96875	15.2
	15.925	12.3		23.71875	18.8
	15.950000000000001	13.5		23.2125	21.2
	16.56875	13.6		24.30625	26.1
	16.125	15.9		24.487499999999997	28.6
	16.575000000000003	17.7		24.981250000000006	29.8
	16.8875	13.4		26.48125	22.2
	16.975	11.8		26.018749999999997	13.4
	16.731250000000003	9.5		26.243750000000002	20.3
	17.41875	12.1		27.05625	24.2
	17.96875	16.9		27.13125	27.5
	18.0125	17.5		26.6375	24.5
	18.23125	16.7		25.243749999999995	25.5
	18.531249999999996	16.7		26.48125	27.9
	19.031250000000004	17.6		26.71249999999999	29.4
	18.550000000000004	20		26.493750000000006	23.9
	18.943749999999998	14.7		26.337500000000002	18.3
	18.931250000000002	14.6		27.49375	20.2
	18.987499999999997	15.2		26.199999999999996	25.2
	17.71875	17.7		25.875000000000004	29.8
	18.362499999999997	20.9		26.924999999999994	26.3
	18.64375	18.2		27.66875	22.3
	19.40625	20.6		28.018750000000004	27.6
مايو	19.76875	20.7		27.4625	26.7
	19.13125	21.2		26.818749999999998	28.2
	19.1875	20.7		27.681250000000002	29.3
	19.81875	21.3		28.449999999999996	30.3
	20.224999999999998	22.5		28.006250000000005	28.1
	20.374999999999996	21.6		27.568749999999998	24.3
	19.69375	22.1		27.556250000000002	26.1
	19.4375	22.4		25.737499999999997	29.5
	18.71875	23.1		25.799999999999997	31.2
	19.175	24.3		27.30625	32.3
	20.143749999999997	25.8		28.65	32.5
	20.362499999999997	25.8		27.999999999999996	34.7
	20.4125	23.6		28.43125	29.6
	20.3	24.5		28.268749999999997	30.9
	20.39375	22.3		28.549999999999997	30.2
	20.437499999999996	19.9		28.4	24.4
	20.556249999999995	19.6		28.343750000000004	29.8
	21.05625	22.9		27.93125	31.3
	20.712499999999995	22.6		26.6875	33.3
	20.224999999999998	23.9		27.799999999999994	30.7
	20.287499999999998	23.9		27.98125	26.6
	20.55625	21.8		28.043749999999996	28.4
	21.0125	22.9		28.44375	30.5
	21.612500000000004	23.2		30.27500000000001	29.5
	22.074999999999996	18.3		30.218749999999996	21.5
	22.606250000000006	18.2		29.393750000000004	19.7
	22.187500000000007	16.3		29.131250000000005	27
	21.937499999999996	19.3		29.568749999999994	28.3
	21.637500000000003	18.8		28.74375	29.1
	21.412499999999998	18.3		28.618750000000002	21.1
	21.68125	20		29.925000000000004	28.3
يونيو	21.874999999999996	20.2		30.4625	30
	22.525000000000002	21.3		30.587500000000002	30
	22.893749999999997	21.5		30.10625	33.2
	23.093750000000004	23.7		30.075	28.4
	23.525000000000006	23.7		29.95	27.9
	23.337500000000002	24.4		29.74375	32.1
	23.374999999999996	23.9		29.862500000000004	32.9
	23.05	24.2		29.887500000000003	33.7
	22.825	23.5		29.143750000000004	29.6
	23.299999999999997	22.6		29.675000000000004	24
	22.587500000000002	22.1		30.224999999999998	25.5
	23.168750000000003	22.2		30.462500000000006	25.9
	23.58125	21.5		30.824999999999996	30.4
	24.056250000000006	22.4		30.387500000000003	32.2
	24.25625	23.4		30.943749999999998	27.2
	24.60625	24.3		31.968750000000004	26.5
	24.7625	23.8		31.6625	26
	25.000000000000004	23.4		31.868750000000002	31.4
	24.8625	24.1		31.79375	32.7
	24.481249999999996	25		32.20625	31.3
	24.974999999999998	24.8		32.54375	31.3
	24.875	24.8		32.75625	31.9
	24.91875	23.9		32.443749999999994	30.6
	24.775000000000002	24.3		32.543749999999996	29.6
	24.86875	24.1		32.55	31.4
	25	25.3		33.39375	34.7
	25.3875	25.5		33.66875	35.5
	25.4875	25.4		33.91875	34.9
	25.487499999999997	25.8		33.981249999999996	36.5
	25.5375	25.6		33.03125	36.5
يوليو	25.381249999999998	25.4		33.475	33.1
	25.387499999999996	25.6		33.44375	34.9
	25.150000000000002	26.4		32.93125	35.8
	25.137499999999996	25.7		32.86875	35.4
	25.1625	25		32.99375	30.3
	25.325000000000003	24.5		33.43750000000001	29.4
	25.662499999999998	24.4		33.525	26
	25.762499999999996	23.7		34.262499999999996	30.5
	25.862499999999997	24		34.48125	28
	25.806250000000002	24.2		34.768750000000004	34.9
	25.80625	25.1		35.06875	36.1
	25.856249999999996	24.2		34.743750000000006	30
	25.85	22.7		34.41875	23.8
	25.781250000000004	22.9		34.331250000000004	28.9
	25.887499999999996	23.7		34.875	31.3
	25.887500000000003	24.2		35.26875	30.6
	26.087500000000002	23.3		35.15625	33.8
	26.168750000000003	22.9		35.28125	34.8
	26.31875	25.3		35.65	35.1
	25.974999999999998	23.6		35.206250000000004	33.7
	26.243749999999995	24.6		35.45625	35.8
	26.362500000000004	24.2		35.19375	34.6
	26.062499999999996	25		34.918749999999996	35.4
	26.1375	24.9		34.91875	34.3
	26.1125	25.2		34.95	34.2
	26.181249999999995	24.9		34.94375	35.3
	26.250000000000004	24.9		34.675	28.7
	25.89375	24.2		33.662499999999994	25.9
	25.775000000000002	23.4		34.475	29.4
	25.63125		22.4	34.025000000000006		28.1
	25.418749999999996		22.1	33.331250000000004		27.8
أغسطس	25.231250000000003		21.3	33.525		26.5
	25.599999999999998		21.5	34.00625		31
	25.525000000000006		22.6	34.33749999999999		32.5
	25.2625		23.4	33.93750000000001		31.7
	25.125		24	34.2875		32.9
	25.387500000000003		25.2	34.456250000000004		34.2
	25.5625		25.7	34.68125		34.3
	25.25		25	33.75625		33.5
	25.150000000000002		25.3	33.400000000000006		33.6
	24.71875		24.8	33.275		33.6
	24.5125		24.7	33.35		33.5
	24.53125		24.5	33.18749999999999		33
	24.43125		24.3	32.85		32.9
	23.9		23.9	32.56875		32.4
	23.825		23.8	32.43124999999999		32.8
	23.537499999999998		23.4	31.64375		31.5
	23.074999999999996		23.2	31.849999999999998		31.5
	23.337500000000002		23.2	31.306249999999995		31
	23.4375		23.4	31.431250000000006		31.8
	23.325000000000003		23.1	31.912499999999998		31.1
	23.1375		22.8	31.887500000000006		31.9
	22.950000000000003		23	31.1125		31.4
	22.825000000000003		23.3	31.462499999999995		32
	23.29375		23.3	31.256249999999994		31.7
	23.19375		23.3	32.33125		32.5
	23.08125		23.2	32.53125		32.3
	23.43125		23.1	32.3875		31.4
	23.087500000000002		23.1	31.099999999999998		31.6
	22.949999999999996		22.8	31.475000000000005		31.4
	22.624999999999993			30.74375
	22.00625			30.593749999999996
سبتمبر	22.068749999999994			31.21875
	21.956249999999994			31.5375
	22.393750000000004			32.2125
	21.91875			31.081250000000004
	21.624999999999996			30.51875
	21.36875			29.2125
	20.43125			28.556249999999995
	20.0875			27.79375
	19.8625			26.975
	19.79375			27.924999999999997
	20.075000000000003			27.94375
	20.53125			28.556250000000002
	21.03125			29.40625
	20.706249999999997			29.825000000000003
	20.287499999999998			29.443749999999994
	19.84375			27.7375
	19.743750000000002			28.912499999999998
	20.112499999999997			29.281249999999996
	19.443749999999998			29.224999999999994
	18.5625			28.212500000000002
	17.818749999999998			27.26875
	17.68125			26.16875
	18.25625			26.14375
	18.256249999999998			25.862499999999997
	18.15			25.95625
	18.15			26.44375
	17.56875			26.562500000000004
	17.125000000000004			26.393749999999997
	17.087500000000006			25.23125
	16.893749999999997			24.59375
أكتوبر	16.575			24.5125
	16.049999999999997			23.90625
	16.4			24.425
	15.774999999999999			24.175000000000004
	15.7			23.418750000000003
	15.375			23.11875
	15.44375			23.212500000000002
	15.487499999999999			24.131249999999998
	15.35			23.70625
	15.0875			23.3
	14.893750000000002			22.875
	14.7375			23.03125
	15.0125			22.63125
	15.143749999999999			23.050000000000004
	14.787499999999998			23.00625
	14.412500000000001			21.968749999999996
	13.45625			21.950000000000003
	13.893749999999999			22.456249999999997
	13.75625			21.6375
	13.662499999999998			21.818749999999994
	13.49375			22.025
	14.324999999999998			22.450000000000006
	14.143749999999999			22.831249999999997
	13.65			21.48125
	12.631250000000001			20.55625
	12.218749999999998			20.331250000000004
	11.83125			19.9625
	12.193750000000003			19.624999999999996
	12.350000000000001			19.2125
	11.74375			19.212499999999995
	11.7			19.9125
نوفمبر	12.218749999999998			19.96875
	12.843749999999998			19.356250000000003
	13.006250000000001			19.225
	11.2125			18.3375
	11.55625			18.606250000000003
	11.293750000000001			19.01875
	11.775000000000002			18.4625
	12.093750000000002			19.38125
	11.00625			18.968749999999996
	9.35			16.606250000000003
	8.425			15.6375
	8.881250000000001			16.462500000000002
	8.887500000000001			17.25
	9.587499999999999			17.150000000000002
	9.356250000000001			17.418749999999996
	7.699999999999999			15.587499999999999
	7.606249999999998			13.9375
	7.39375			14.61875
	7.3875			14.881250000000003
	7.4750000000000005			14.868749999999999
	7.256249999999999			15.25625
	7.25625			15.60625
	7.049999999999999			14.768749999999999
	6.40625			14.674999999999999
	7.35			14.7375
	7.412499999999999			14.90625
	7.45			13.69375
	6.21875			12.137500000000003
	6.5			12.7625
	6.637499999999999			14.249999999999998
ديسمبر	5.849999999999999			13
	4.856249999999999			11.61875
	3.30625			10.7
	3.25625			10.868749999999999
	4.0375			12.131249999999998
	4.393749999999999			11.587499999999999
	4.7			12.506249999999998
	4.9437500000000005			12.65
	4.818750000000001			11.981250000000001
	4.31875			12.231250000000001
	4.0875			11.85625
	3.86875			12.08125
	4.725			11.900000000000002
	5.062499999999999			11.40625
	4.84375			12.037500000000001
	4.13125			12.256249999999998
	2.76			11.74666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

37°C

أعلى درجة حرارة

13 يوليو 26

1°C

أدنى درجة حرارة

23 يناير 26

التفصيل الموسمي

أحر شهرأغسطس33.1°C

أبرد شهريناير5.84°C

أكثر شهر أمطارًاأبريل16.67mm

أكثر شهر رياحًاأغسطس17.42km/h

Xinyu 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 Xinyu تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Xinyu، مع متوسط درجات حرارة قصوى تبلغ حوالي 34°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 41°C في 2010-08-04.

2. ما هو أبرد شهر في Xinyu تاريخيًا?

يناير هو أبرد شهر في Xinyu، مع متوسط درجات حرارة دنيا تبلغ حوالي 5°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -4°C في 2024-01-23.

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

يبلغ متوسط هطول الأمطار السنوي في Xinyu تقريبًا 1874.8mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Xinyu تاريخيًا حوالي 208.4 يوم مطر سنويًا. يشهد يونيو أكبر عدد من أيام الأمطار بمتوسط 24.3 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Xinyu هي 41°C في 2010-08-04.

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

أدنى درجة حرارة مسجلة على الإطلاق في Xinyu هي -4°C في 2024-01-23.

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

تشهد Xinyu أقوى رياحها خلال يوليو. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 34.9 كم/ساعة في 2016-09-28.

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

عادةً، تبلغ رطوبة Xinyu ذروتها في يونيو بحوالي 85.9% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 64.9%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Xinyu السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Xinyu 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

Xinyu السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Xinyu 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

Xinyu السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا