Yingtan السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Yingtan رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.7812499999999996	6.6		12.193750000000001	10.3
	4.4437500000000005	4		13.66875	8.8
	4.95625	0.8		13.112500000000002	11.5
	4.9624999999999995	4.7		12.9625	9.1
	5.7	6.2		12.487499999999999	9.7
	5.656250000000001	3.7		12.25625	11.8
	4.54375	1.6		10.9625	11.9
	3.5062499999999996	2.3		10.549999999999999	12.8
	3.925	2		11.1875	13.9
	4.1875	3.7		10.968750000000002	16.1
	3.6687499999999997	4.1		10.34375	14.5
	3.1249999999999996	4.4		11.775000000000002	14.7
	4.00625	5.8		12.368749999999999	18.8
	4.4	7.4		12.687499999999998	22.7
يناير	3.818749999999999	9.7		11.837499999999999	21.9
	3.7000000000000006	11		11.325000000000001	19.9
	3.80625	12.7		11.8625	22
	4.025	9.9		12.49375	23.3
	4.325	12.3		13.45625	23.2
	4.7437499999999995	3.1		13.475	12
	4.581250000000001	1.9		12.40625	5.6
	3.8875	1.9		10.9875	8.6
	3.16875	0.7		11.387499999999998	12.4
	3.0874999999999995	3.7		11.625000000000004	16.4
	4.3	7.4		11.4625	20.9
	3.5999999999999996	8.7		11.2125	14.1
	4.15625	7.2		10.968750000000002	8.2
	4.3875	6		11.393749999999999	15.1
	4.299999999999999	4.8		11.68125	17.2
	4.275	8.5		13.224999999999998	13.8
	5.531250000000001	5		13.6	7.5
	5.91875	5.9		12.912499999999998	10.1
	5.53125	4		12.28125	14.7
	5.6625000000000005	5.2		12.75625	16.5
	5.71875	9.6		11.89375	20.2
	4.84375	14		13.024999999999999	19.2
	5.581250000000001	8.3		13.11875	14.7
	4.4312499999999995	6.4		12.599999999999998	8.9
	3.66875	2.4		11.675	10.9
	4.012499999999999	0.8		11.625	11.9
	3.7187499999999996	6		11.643749999999999	13.5
	4.387499999999999	5.1		12.343749999999998	15.3
	5.54375	6.8		13.549999999999999	18.9
	5.49375	12.3		13.906250000000002	16.6
	5.987499999999999	13.2		14.549999999999997	22.3
فبراير	5.593750000000001	13.6		13.537499999999998	27
	5.4312499999999995	7.8		11.975	17.8
	5.374999999999999	6.3		13.937499999999998	7.8
	5.3374999999999995	6.8		14.543750000000003	15.2
	5.875	6.8		14	12.8
	6	5.6		14.868749999999999	18.8
	5.881249999999998	8.2		14.887499999999996	25.7
	6.28125	15.2		13.918750000000001	20.5
	6.43125	12		13.831249999999999	26.8
	6.8625	11.3		14.6375	17.9
	8.06875	10.7		15.556250000000004	19.8
	8.087499999999999	13.9		15.21875	14.8
	7.7749999999999995	11.7		16.6	15
	8.4625	11.6		18.225	19.9
	8.23125	13.7		15.637500000000003	15.7
	7.56875	11		15.550000000000002	13.9
	7.587500000000001	9.8		15.0875	14.7
	7.74375	10.3		16.175	13.7
	8.9375	9.1		16.05625	15.4
	7.862500000000001	9.1		15.0625	16.9
	7.043749999999999	9.7		15.0375	17.7
	7.431250000000001	9.5		15.618750000000002	11.5
	7.393749999999999	10.3		17.4375	15.8
	7.718750000000001	7.7		16.9	17.2
	8.33125	8.2		17.86875	20.5
	9.187500000000002	10.6		19.774999999999995	19.2
	9.46875	8.4		19.85	20.3
	11.075000000000001	9.3		19.7	24
مارس	10.35625	12.2		19.650000000000002	24.7
	10.78125	12.6		19.39375	19.6
	10.525	14		19.95625	26.4
	11.612499999999999	11.6		19.90625	16.1
	11.55625	10.2		19.668750000000003	13.6
	11.687499999999996	11.8		19.412499999999998	14.9
	10.462499999999999	11.3		18.9375	17.4
	10.581249999999999	14.6		19.51875	16.1
	11.343749999999998	14.9		20.356250000000003	22.7
	10.493749999999999	14.4		18.4375	16.4
	10.71875	14.2		19.44375	21.7
	10.718749999999998	15.5		20.968750000000004	18.1
	10.931249999999999	15.5		22.006250000000005	20.6
	10.74375	13.8		21.775000000000002	20.5
	11.275	17.2		20.66875	21.7
	12.0625	15.3		20.61875	22.5
	12.374999999999998	13.2		20.424999999999997	16.3
	12.687499999999998	12.8		21.16875	21.4
	12.31875	13.5		22.9	19
	13.4125	14.9		22.756250000000005	16.8
	13.9875	14.3		22.075	21.4
	12.6625	14.4		22.13125	24.9
	12.33125	18.3		20.50625	19.3
	12.356250000000001	14.3		21.199999999999996	23.1
	11.981249999999998	14.6		22.062499999999996	27.7
	12.70625	19.8		23.299999999999997	31.2
	13.206249999999999	20.4		23.200000000000003	28
	14.69375	19.9		23.962499999999995	23.5
	14.499999999999998	18.6		23.462500000000002	22.5
	13.85	19.3		22.18125	27.3
	13.46875	19.2		22.4125	22.2
أبريل	13.475000000000001	17.7		23.63125	22.6
	14.725000000000003	19		24.343749999999996	21.3
	15.043750000000003	18.3		25.425	24.6
	16.037499999999998	18.4		25.587500000000006	25.4
	16.15	17.6		24.78125	28.2
	15.68125	18.3		24.818749999999998	28.9
	15.899999999999999	17.4		25.2375	20.6
	15.8375	13		23.012500000000003	17.8
	14.956249999999997	13.5		23.949999999999996	17.7
	15.293749999999998	13		23.631250000000005	21
	15.89375	14.5		24.012500000000003	24.8
	15.66875	16.2		24.006249999999998	28.1
	15.418750000000001	17.6		24.61875	31
	15.9875	16.1		26.043749999999996	24.1
	15.8375	12.5		26.043750000000006	13.5
	16.137500000000003	11.8		26.024999999999995	20.2
	16.65	11.5		27.181250000000002	24.3
	16.906250000000004	16.7		27.24375	26.9
	16.787499999999998	17.7		27.05	23.4
	17.2875	17.2		26.068749999999998	24.6
	17.15	16.7		26.95	26.8
	18.01875	15.8		26.500000000000004	29.4
	18.0125	19.7		27.2875	26.5
	18.787499999999998	13		26.75625	19.8
	18.599999999999998	12.7		27.1	15.4
	18.21875	14.8		26.7875	25
	17.400000000000002	18.6		25.831249999999997	28.8
	17.4875	20.2		26.568750000000005	28.1
	17.793750000000003	19.4		27.5625	23.3
	18.65625	19.5		28.38125	24.8
مايو	19.206249999999997	19.3		27.7125	27.4
	18.6625	19		27.018749999999997	30.1
	18.4	18.6		27.45625	30.6
	19.025000000000002	20.2		28.349999999999998	30.9
	19.59375	23.4		28.381250000000005	27.9
	20.031249999999996	22.7		28.106250000000003	24.6
	19.799999999999997	22.1		28.493750000000002	27.7
	19.306250000000002	22.6		26.3	29.6
	18.487500000000004	23.1		25.799999999999997	30
	18.21875	24		27.181250000000002	31.5
	19.312499999999996	24.4		28.35625	32.7
	19.95625	25.1		28.23125	33.1
	19.993750000000002	23.4		28.3875	29.4
	19.450000000000003	23.9		28.018749999999997	31
	20.01875	21.3		28.706249999999997	30.8
	19.8125	20.8		28.474999999999998	27.9
	20.2	20.7		28.775000000000006	29.6
	20.61875	22.6		27.618750000000002	31.6
	20.487500000000004	23.8		26.562499999999996	33.4
	19.9625	24.6		27.50625	32.9
	20.212500000000006	23.2		27.543750000000003	26.9
	20.206249999999997	23.1		28.15625	29.9
	20.1375	22.5		28.575	28.7
	21.112499999999997	22.2		29.943749999999998	29.9
	21.649999999999995	18.8		29.775	22.6
	21.76875	16.7		29.70625	18.4
	22.06875	16.6		28.95	25.3
	21.35625	17.9		28.718749999999996	28.4
	21.4375	20		28.993750000000006	24.7
	21.518749999999997	18.5		28.912499999999998	20
	21.593749999999996	20		29.368750000000002	27.3
يونيو	21.768749999999997	21.3		30.66875	30.3
	22.23125	22.5		30.618750000000002	29.9
	22.6625	22.1		30.162500000000005	31.7
	22.724999999999998	23.9		29.9875	30.8
	22.9625	24.1		29.343750000000004	27.7
	22.9	23.7		29.631249999999998	32.6
	23.2625	24.2		29.906250000000004	32.9
	22.537500000000005	24		29.76875	34.4
	22.737499999999994	23		30.099999999999998	28.4
	23.08125	23		30.025000000000006	25.8
	22.875	22.7		29.75625	28.5
	23.374999999999996	21.5		30.493750000000002	28.7
	23.181250000000002	21.5		30.950000000000003	28.6
	23.887500000000003	21.3		31.525	31.3
	23.937500000000004	24.3		31.225	26.5
	24.418750000000003	24		32.01875	28.6
	24	23.8		32.45	26.5
	24.5375	23.6		32.85625	28.1
	24.6625	24		32.55	33.8
	24.54375	24.7		32.60625	34.1
	24.837500000000002	25.3		32.53125	33.5
	24.7	24.5		32.6875	35.1
	24.793750000000003	25.5		32.699999999999996	32.8
	24.806250000000006	25.5		33.09375	33.6
	24.818750000000005	25.3		32.775000000000006	29.1
	24.906249999999996	26		33.412499999999994	34.8
	25.00625	24.9		33.71875000000001	33.8
	25.3875	24.5		34.48125	25.9
	25.10625	24.8		33.77499999999999	27.9
	25.174999999999997	24.6		33.3875	36.1
يوليو	25.199999999999996	25.6		33.60625	35.1
	25.156250000000004	26.5		33.475	34.5
	25.0875	26.5		33.18125	35
	24.868750000000002	26.5		33.2125	34.5
	24.881250000000005	24.9		33.6125	33
	25.193749999999998	24.8		34.224999999999994	30.3
	25.25	24.5		34.1625	30.1
	25.156250000000004	24.3		34.3125	33.8
	25.2	25.4		34.825	32.8
	25.55	25.7		34.706250000000004	35.9
	25.449999999999996	25.7		35.643750000000004	35.2
	25.5125	25.1		34.84375	27.9
	25.6375	23.8		34.50625	24.8
	25.506249999999998	23.6		34.4875	27.5
	25.56875	24.2		35.10625	32.2
	25.418750000000003	24.6		35.037499999999994	32
	25.493750000000002	22.9		35.12500000000001	34.8
	25.312499999999996	23.9		35.39375	35.4
	25.63125	25.5		35.55625	35.3
	25.818749999999998	25.8		35.4375	34.9
	25.462500000000002	26.5		35.15	35.1
	26.08125	25		35.574999999999996	35.5
	25.987500000000004	25.7		35.65625	35.7
	26.037499999999998	26		35.668749999999996	35
	25.987499999999997	25.4		35.4375	35
	25.69375	24.7		35.25625	30
	26.1875	23.8		34.556250000000006	25.4
	26.05	24		34.25625	30.4
	25.33125	22.7		34.737500000000004	31.6
	25.631249999999998	24.6		34.41875	31.8
	25.4		24.8	34.3625		29.8
أغسطس	25.69375		24.5	34.35625		28.6
	25.55625		23.9	34.45624999999999		31.5
	25.231250000000003		24.8	35.14375		32.7
	25.26875		24.9	35.10625		32.3
	25.656249999999996		25.3	34.793749999999996		33.1
	25.2625		24.5	34.949999999999996		30.9
	25.4		24.7	35.0625		31.6
	25.168750000000003		25	34.268750000000004		29.1
	25.143749999999997		25.3	34.23125		34.2
	25.006249999999998		25.2	34.381249999999994		34.4
	24.612500000000004		24.7	33.137499999999996		33.1
	24.737500000000004		24.7	33.862500000000004		33.4
	24.718749999999996		24.5	33.800000000000004		33.3
	24.425000000000004		23.9	33.0625		32.7
	23.64375		23.6	32.45625		32.9
	23.34375		23.6	32.074999999999996		31.9
	23.262500000000003		23.3	32.637499999999996		32.3
	23.3875		23.3	32.387499999999996		31.6
	23.481249999999996		23.2	31.95625		32.3
	23.3375		23.3	32.36875		31.7
	23.193749999999998		23.2	32.7125		32.2
	23.268749999999997		23.1	32.037499999999994		32.3
	23.11875		23.4	32.224999999999994		32.7
	23.131249999999998		23.1	32.4375		32.6
	23.08125		23.1	33.150000000000006		33
	23.33125		23.3	33.487500000000004		33.1
	23.531250000000004		23.6	33.1625		32.2
	23.4875		23.2	32.18124999999999		31.8
	23.237499999999997		23.2	31.9875		32.1
	23		22.5	31.881249999999998		31.5
	22.48125			31.168749999999996
سبتمبر	22.168750000000003			31.51875
	22.387499999999996			32.06875
	22.3			32.5375
	22.468750000000004			32.19375
	21.89375			31.556249999999995
	21.524999999999995			29.93125
	20.9625			29.40625
	20.499999999999996			28.78125
	20.131249999999998			28
	20.3375			28.7625
	20.3875			28.549999999999997
	20.3875			29.9
	20.906249999999996			30.468749999999996
	20.69375			30.26875
	20.96875			29.931249999999995
	20.406249999999996			28.81875
	20.2625			29.49375
	20.11875			30.031249999999996
	19.55			29.743750000000006
	19.087500000000002			28.881249999999998
	18.7375			28.08125
	18.231250000000003			27.29375
	18.63125			26.818749999999998
	18.918750000000003			27.08125
	18.39375			26.843750000000004
	18.143749999999997			27.212500000000002
	17.61875			27.175000000000004
	17.262500000000003			26.8375
	17.08125			25.637500000000003
	16.75			24.5375
أكتوبر	16.456249999999997			25.58125
	16.143749999999997			25.13125
	16.162499999999998			25.4125
	15.43125			24.943749999999998
	15.675			24.2375
	15.2625			23.45625
	15.131249999999998			24.031249999999996
	15.406250000000002			24.587500000000002
	15.3			24.368750000000002
	15.08125			23.743749999999995
	14.675			23.137499999999996
	14.743749999999999			23.506249999999998
	15.25625			23.212500000000006
	14.943749999999998			23.6875
	14.54375			23.606249999999996
	14.531250000000002			22.675
	13.587499999999999			22.668749999999996
	13.481249999999998			22.95625
	13.799999999999999			22.425
	13.3			21.762500000000003
	13.637499999999998			22.8375
	14.1875			22.95625
	14.518749999999999			23.768749999999997
	13.91875			22.749999999999996
	12.80625			20.54375
	12.437500000000002			20.5375
	12.2625			20.1875
	12.068750000000001			19.174999999999997
	12.049999999999999			19.999999999999996
	11.831250000000002			19.618749999999995
	11.687499999999998			20.28125
نوفمبر	11.725			20.918750000000003
	13.24375			20.500000000000004
	12.7625			20.087500000000006
	11.30625			18.76875
	10.575000000000001			19.075
	10.712499999999999			19.83125
	11.581249999999999			19.79375
	11.549999999999999			19.656249999999996
	11.237499999999999			19.675
	9.0375			17.631250000000005
	8.043750000000001			16.537500000000005
	8.268749999999999			17.35
	8.45			17.0375
	9.193749999999998			17.724999999999998
	9.23125			17.50625
	7.562500000000001			16.35625
	7.6875			14.537500000000001
	6.9125			14.7375
	6.9125			15.762500000000001
	7.324999999999998			14.868749999999999
	6.981249999999999			16.025
	7.05625			15.85625
	6.38125			14.9375
	5.70625			15.15
	6.73125			15.000000000000002
	6.6499999999999995			15.08125
	7.106249999999999			14.53125
	6.324999999999999			12.893749999999999
	6.199999999999999			13.612499999999999
	6.9375			14.58125
ديسمبر	5.94375			13.5875
	4.4625			11.306249999999999
	2.38125			10.49375
	2.20625			11.237499999999999
	3.09375			12.149999999999999
	4.106249999999999			11.9
	4.518750000000001			12.8
	4.73125			13.09375
	4.5			12.356250000000001
	4.393750000000001			12.06875
	3.6			12.299999999999997
	3.7437500000000004			12.4375
	4.4875			12.84375
	4.7562500000000005			11.843750000000002
	4.5874999999999995			12.7375
	3.58125			11.91875
	2.2333333333333334			11.513333333333332

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

36°C

أعلى درجة حرارة

14 يوليو 26

1°C

أدنى درجة حرارة

23 يناير 26

التفصيل الموسمي

أحر شهرأغسطس33.16°C

أبرد شهريناير5.54°C

أكثر شهر أمطارًاأبريل15.38mm

أكثر شهر رياحًاأغسطس17.38km/h

Yingtan 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 Yingtan تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Yingtan، مع متوسط درجات حرارة قصوى تبلغ حوالي 34°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 42°C في 2022-08-23.

2. ما هو أبرد شهر في Yingtan تاريخيًا?

يناير هو أبرد شهر في Yingtan، مع متوسط درجات حرارة دنيا تبلغ حوالي 4°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -11°C في 2010-12-17.

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

يبلغ متوسط هطول الأمطار السنوي في Yingtan تقريبًا 2084.6mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Yingtan تاريخيًا حوالي 202.8 يوم مطر سنويًا. يشهد يونيو أكبر عدد من أيام الأمطار بمتوسط 24.2 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Yingtan هي 42°C في 2022-08-23.

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

أدنى درجة حرارة مسجلة على الإطلاق في Yingtan هي -11°C في 2010-12-17.

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

تشهد Yingtan أقوى رياحها خلال يوليو. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 37.4 كم/ساعة في 2026-08-10.

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

عادةً، تبلغ رطوبة Yingtan ذروتها في يونيو بحوالي 85.6% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 69.6%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Yingtan السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Yingtan 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

Yingtan السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Yingtan 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

Yingtan السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا