Kaifeng السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Kaifeng رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.8812499999999996	-2		8.55625	4.1
	-1.5125	-2.5		6.962500000000001	4.8
	-1.8312500000000003	-1.6		7.38125	8.9
	-1.9562499999999998	2.3		6.225	9.4
	-2.0625	0.1		5.5125	8.5
	-2.05625	1.4		5.2875	9.4
	-2.6125	0		5.3812500000000005	8.8
	-2.60625	-0.3		6.65625	9.1
	-2.7875	3		5.7749999999999995	13.5
	-2.6375	1.3		6.293749999999999	7.9
	-1.9937500000000004	-3.8		7.062499999999999	5.1
	-2.4250000000000003	0.2		6.98125	14
	-1.8625000000000005	2.3		7.781249999999999	12.1
	-1.9187499999999997	5.8		7.6	13.8
يناير	-2.9625	5.3		6.237499999999999	17.6
	-2.525	2.7		5.99375	9.2
	-2.33125	-2.7		7.00625	6.6
	-1.66875	-2.7		8.325	3.8
	-1.1124999999999998	-3.7		8.48125	-0.4
	-1.4250000000000003	-9.4		6.3999999999999995	-2.6
	-1.81875	-10.9		6.34375	-2
	-2.29375	-6.2		6.131250000000001	4.3
	-2.5000000000000004	-4		6.9	7.7
	-2.1375	-1.5		5.487499999999999	9.2
	-2.2250000000000005	0.2		6.468749999999999	5.8
	-2.0187500000000003	-0.9		6.781249999999999	6.5
	-1.81875	-0.7		7.09375	6.4
	-1.5875000000000001	-0.5		7.6000000000000005	8.8
	-1.9124999999999996	-0.4		8.431249999999999	6
	-1.4812500000000002	-0.7		8.39375	4.2
	-0.85	0.5		8.281249999999998	7.5
	-1.6	1.2		7.387500000000002	10.9
	-2.0312499999999996	1.3		7.537500000000001	9.8
	-1.6374999999999997	2.9		8.162500000000001	11
	-1.55	4.1		8.931249999999999	13.7
	-1.6812500000000001	4.3		8.3875	14.7
	-1.0750000000000002	-1.5		8.18125	3.1
	-1.5625	-2.6		6.718750000000001	6.1
	-2	-2.7		7.14375	8.6
	-1.6624999999999999	-1.9		7.7875000000000005	7.6
	-1.6187500000000004	1		8.918750000000001	13.5
	-0.3312500000000001	2.1		9.200000000000001	13.4
	-0.11249999999999973	4.7		9.53125	17.2
	0.3062500000000002	6.9		10.368749999999999	17.8
	0.3875	7.5		10.350000000000001	21.9
فبراير	0.11250000000000013	1.9		9.081249999999999	12.3
	0.4	0.3		10.856250000000001	7.5
	0.21875000000000006	0.6		10.325	11.9
	1.1812500000000001	3.5		10.731250000000001	14.8
	1.45	5.9		11.8375	17.9
	0.7124999999999998	7.3		10.875	22.8
	1.1250000000000002	10.6		11.3125	27
	1.0062499999999999	9.1		11.543750000000001	17.1
	1.5062499999999996	3.6		12.00625	10.3
	2.1562500000000004	4.6		12.49375	11.3
	2.325	4.7		12.493749999999999	12.8
	2.3000000000000003	6.9		12.762500000000001	9
	2.4124999999999996	4.9		12.8625	12.9
	3.1125	3.4		12.681250000000002	9.2
	2.7562499999999996	0.6		11.543750000000001	2.6
	1.8562500000000002	0.3		12.950000000000001	2.6
	3.19375	0.8		14.34375	10
	3.24375	4.8		15.11875	12.7
	3.6999999999999997	6.5		13.956250000000002	12.8
	3.875	3.4		13.681249999999999	10.9
	3.5749999999999993	3.5		15.025	10.9
	4.46875	2.6		16.618750000000002	13.6
	4.062499999999999	5.9		16.325000000000003	14.4
	4.5875	4.9		16.193749999999998	17.3
	5.63125	7.9		17.6625	17.1
	6.106249999999999	3.6		16.8875	15.1
	6.0375000000000005	6.2		17.15	17.5
	6.50625	3.9		17.38125	11.7
مارس	5.59375	4.7		18.0625	11.5
	5.3625	6.2		16.75	12.4
	6.299999999999999	6.1		17.03125	12.7
	6.96875	6.6		17.63125	10.8
	7.012499999999999	3.2		17.056250000000002	14.5
	6.1625000000000005	6.9		17.206249999999997	17.4
	6.024999999999999	8.3		17.5625	18.4
	7.08125	9.7		18.568749999999998	20.7
	7.312500000000001	10.5		18.48125	21.1
	7.687499999999999	12.2		18.631249999999998	20.3
	7.475	9.9		18.612499999999997	22.8
	7.781249999999999	12.6		18.943750000000005	23.1
	7.631250000000001	11.8		21.181250000000002	23.8
	8.6375	11.8		21.0625	22
	8.4625	11.8		20.481250000000003	25.2
	9.35	11.7		20.09375	19.6
	8.650000000000002	8.4		20.462500000000006	21.9
	8.693750000000001	10.1		21.493749999999995	25
	9.06875	12.3		21.24375	24.6
	8.69375	12.7		18.9	27.7
	7.6812499999999995	8.9		18.743750000000002	20.7
	8.7375	12		19.806250000000002	26.7
	8.637500000000001	10.4		19.906250000000004	22.9
	8.975000000000001	10.2		21.19375	20.9
	9.524999999999999	9.5		22.918749999999996	14.4
	10.693750000000003	10.9		23.61875	22.8
	10.774999999999999	13.1		22.400000000000002	25.5
	10.475	13.4		21.537500000000005	24.3
	9.23125	13.3		21.0125	22.8
	10.237499999999999	11.2		21.818749999999994	19.7
	10.43125	10.6		23.21875	22.9
أبريل	11.893749999999997	13.5		24.9875	24.7
	12.031250000000002	15.3		24.768750000000004	22.4
	12.531249999999998	13.6		25.331250000000004	27.8
	12.668750000000003	15		24.2875	27.4
	11.04375	12.1		22.893749999999997	29.3
	10.993750000000002	11.3		23.612499999999997	18.9
	12.118750000000002	8.2		20.812500000000004	13.4
	11.3375	8.1		21.956250000000004	17.1
	11.631250000000003	8.8		24.375	21.8
	12.781249999999998	9.9		23.487500000000004	24.7
	12.318750000000001	11.6		23.718749999999996	25.7
	12.906250000000002	14.5		24.91875	29.5
	12.981250000000001	16.5		25.2375	25.3
	12.950000000000001	14.6		25.95625	21.3
	13.500000000000002	11		27.10625	22.9
	14.15625	10.5		29.03125	26.7
	14.756249999999998	14.2		28.25	26.9
	15.11875	14.3		28.05625	22.3
	14.775	11.2		26.825000000000003	27.2
	15.1875	11.9		27.593749999999993	27.8
	15.13125	16.6		27.668750000000003	30.1
	15.856249999999998	18.8		27.375	32.1
	15.643749999999999	16		28.075	23.5
	15.862500000000002	12.4		25.700000000000003	25.2
	14.18125	12.7		25.76875	28.9
	14.34375	16.5		25.63125	33
	15.174999999999999	20		28.162499999999998	32.4
	16.4875	19.9		29.837500000000002	35.1
	17.137500000000003	21.2		29.2125	34.3
	16.975	19.5		29.225	34.7
مايو	17.037499999999998	19.4		28.974999999999998	31.9
	16.3	19.5		28.549999999999994	29.6
	17.24375	19.1		30.937500000000007	26.2
	18.425	17.5		31.812499999999996	26.1
	18.9125	18.1		31.1125	26.8
	18.1375	18.7		30.656249999999996	26.2
	18.33125	15.2		28.906250000000004	27.1
	17.61875	19.6		30.2125	27.6
	17.575	19.8		30.062500000000004	31.4
	18.6625	20		30.425	30.1
	19.099999999999998	18.8		31.043749999999996	21.3
	19.068749999999994	17		30.743750000000002	21.2
	19.1	16.3		30.912499999999998	29.4
	19.150000000000002	21.3		31.299999999999997	27.3
	19.24375	21		31.681249999999995	32.1
	19.975	21		31.28125	34.5
	19.78125	20.7		31.475	33.7
	20.525000000000002	22.3		32.756249999999994	34.5
	20.818749999999998	23.6		33.15	36.8
	21.275000000000002	25.2		31.81875	37.9
	20.856249999999996	20.3		32.525000000000006	34.3
	20.693749999999998	22.8		33.63125	34.8
	21.843750000000004	19		33.487500000000004	30.1
	22.21875	16.6		33.881249999999994	26.8
	22.656250000000004	19.8		34.375	32
	22.524999999999995	19.3		33.368750000000006	33.5
	21.900000000000002	23.4		32.8125	35
	22.049999999999997	21.2		34.58125	35.4
	23.087500000000002	24.2		34.981249999999996	35.6
	23.125	20.3		34.931250000000006	33.8
	23.231249999999996	22.8		35	36.1
يونيو	23.725	23.9		34.7375	36.7
	23.64375	23.1		33.64375	35.9
	23.125	24.5		33.7125	35.7
	22.88125	22.6		33.3375	35.5
	22.831250000000004	20.1		33.59375	21.4
	23.175	19.4		33.75000000000001	32.4
	23.918750000000003	17.5		34.6875	23.6
	24.125	18		34.29375	26.1
	23.7125	18.9		33.818749999999994	31.6
	22.8125	21.6		33.837500000000006	33.4
	22.993749999999995	21.4		32.00625	34.7
	22.406250000000007	22.4		32.849999999999994	31.1
	23.45	22.9		34.050000000000004	36.9
	24.03125	24.3		34.15	38.4
	23.98125	26.4		33.175000000000004	37.7
	24.100000000000005	25.6		34.4625	36.4
	24.375000000000004	21.6		34.2125	36
	24.393750000000004	26.7		34.0625	39.4
	24.425000000000004	25.1		33.13125	34.7
	23.78125	23.9		33.375	38.3
	23.812499999999993	24.3		33.18125	38.7
	24.262499999999996	23.2		33.36875	35.6
	23.63125	24		34.75	35.1
	24.431249999999995	26.7		34.537499999999994	40
	25.012500000000003	26.6		34.1125	39.4
	24.375	28.3		32.662499999999994	38.8
	24.531249999999996	28.4		33.81249999999999	40.7
	24.725	26.6		33.800000000000004	37
	24.375000000000007	27		34.19375	35.4
	24.94375	27.8		34.78125	39.9
يوليو	24.3875	25.6		32.4625	35.3
	23.974999999999998	25.7		32.1625	36.1
	23.962500000000002	21		32.275000000000006	27.4
	23.837499999999995	21.2		32.14375	34.2
	23.787500000000005	25.5		32.175	37.2
	24.068749999999998	24		32.725	35.7
	24.649999999999995	24.9		34.025	37.7
	25.006250000000005	24.7		33.86875	36.9
	24.775000000000006	23.7		33.00625	37.5
	25.175	22.6		34.8875	34.4
	25.675	23.4		34.925	32.6
	25.212500000000006	25.1		34.68125	35.4
	25.218750000000004	23.5		33.46875	31.9
	24.875	24.3		32.91875	30.6
	24.906249999999996	24.2		33.1875	31.5
	24.831249999999997	24.3		33.4	30
	25.38125	25.4		33.86875	33.4
	24.76875	26.1		32.912499999999994	33.4
	24.575	26		32.37500000000001	36.8
	24.675	26.2		34.09375	36.7
	25.31875	23.8		34.28125000000001	37.6
	25.18125	23.9		32.675	34.7
	24.6125	24.4		32.30625	34.8
	24.306250000000002	26.8		31.562500000000004	37.4
	24.156250000000004	23.7		32.75625	32.4
	23.45625	19.9		31.487499999999997	31.1
	23.374999999999996		20.7	32.30625		30.4
	24.16875		23	33.4375		23.7
	24.437500000000004		19.5	32.84375		23.9
	23.993750000000002		18.3	33.04375		20.4
	23.86875		18.8	32.29375		23.2
أغسطس	23.94375		19	32.806250000000006		20.5
	23.1		19.8	32.09375000000001		25.4
	22.76875		19.5	32.4		26.6
	23.16875		23.5	31.58125		31.5
	23.5125		23	31.2125		30.7
	22.387499999999996		22.3	30.831249999999997		30.1
	22.38125		21.9	30.668750000000003		30.9
	22.074999999999996		22.1	30.775		30.7
	22.125		22	30.224999999999998		30.5
	21.125		21.5	30.549999999999997		30.5
	21.40625		20.9	30.106250000000003		30.2
	20.7375		20.6	29.687500000000007		29.4
	20.406250000000004		20.3	28.443749999999994		28.4
	20.043750000000003		20.1	28.962499999999995		29.5
	19.925		19.6	29.287500000000005		29.2
	20.0125		19.9	28.8125		28.6
	20.024999999999995		20.2	29.525		29.5
	20.593749999999996		20.3	29.599999999999998		29.7
	20.831249999999997		20.2	30.187499999999996		29.3
	20.225		20	29.237499999999994		29.2
	19.5375		19.5	27.787500000000005		28.4
	19.543749999999996		20.3	28.75		28.9
	19.98125		19.6	29.1		28.9
	19.38125		18.9	29.250000000000004		28.7
	18.912499999999994		18.9	29.081250000000004		28.6
	19.4375		19.1	29.2		29
	19.656249999999996			29.11875
	18.362500000000004			27.587500000000002
	18.512499999999996			26.743750000000002
	18.131249999999998			27.524999999999995
	18.6875			27.412499999999998
سبتمبر	18.687499999999996			27.25625
	18.475			27.3875
	17.90625			26.499999999999996
	17.69375			26.118750000000002
	17.09375			25.00625
	17.425			26.831250000000004
	16.74375			27.74375
	16.7125			26.4
	16.2625			26.175
	16.418750000000003			25.337499999999995
	16.450000000000003			25.181250000000006
	16.83125			25.943749999999998
	17.9375			25.256249999999998
	17.1			25.362499999999997
	16.512500000000003			26.525
	16.412499999999998			26.331249999999997
	16.01875			24.9875
	15.799999999999999			25.337500000000002
	15.018749999999999			25.456250000000004
	14.443750000000001			23.28125
	13.825			22.5125
	13.818750000000001			21.4625
	13.90625			22.575
	14.3125			22.9375
	13.962500000000002			22.431249999999995
	13.456250000000002			22.074999999999992
	12.806249999999999			22.312500000000004
	13.41875			21.9375
	13.34375			23.5625
	13.83125			22.775000000000002
أكتوبر	13.31875			22.000000000000004
	13.306249999999999			21.825000000000003
	12.4			22.06875
	11.825			22.031250000000007
	12.1625			21.175
	12.243749999999999			20.375000000000004
	11.25625			21.137500000000003
	11.337500000000002			21.487499999999997
	11.5125			21.206250000000004
	10.5625			20.7125
	10.8375			19.812500000000004
	10			20.0125
	10.5125			20.506249999999998
	11.649999999999999			20.825000000000003
	10.887500000000001			20.29375
	10.59375			20.718750000000004
	10.887500000000001			20.381249999999998
	11.487500000000002			19.637499999999996
	10.212499999999999			20.1375
	9.825			19.456249999999997
	8.99375			19.03125
	9.225000000000001			16.949999999999996
	8.4875			17.2625
	7.9437500000000005			16.662499999999998
	8.081249999999999			17.025
	7.6812499999999995			16.9375
	7.38125			16.1
	7.537499999999999			16.4
	7.731250000000001			16.993750000000002
	6.80625			16.493750000000002
	7.31875			17.06875
نوفمبر	7.625			16.425
	6.918749999999998			14.875000000000002
	6.2875			15.056250000000002
	5.98125			14.675
	6.34375			15.137500000000001
	5.9375			15.118749999999997
	6.356250000000001			14.4375
	4.8875			13.468750000000004
	4.16875			11.86875
	2.5624999999999996			11.174999999999999
	2.15625			11.331249999999997
	2.21875			11.274999999999999
	2.81875			11.475
	3.2812499999999996			11.706249999999999
	2.3625000000000003			9.987499999999999
	1.3499999999999999			9.437500000000002
	0.9874999999999999			9.85
	1.35			10.624999999999998
	1.10625			10.587499999999999
	1.74375			11.03125
	1.13125			10.931250000000002
	1.0375			10.093750000000002
	0.8249999999999998			10.681250000000002
	1.06875			10.5875
	1.2000000000000002			10.65625
	0.7375			9.818750000000001
	-0.6			7.718749999999999
	-0.7812499999999999			7.7124999999999995
	-1.3624999999999998			7.9375
	-0.8562500000000002			7.181249999999999
ديسمبر	-1.2937500000000002			6.375000000000001
	-1.7250000000000005			6.6625
	-2.23125			7.23125
	-1.1625			8.4375
	-0.9875			8.60625
	-1.7750000000000001			7.468750000000001
	-1.59375			7.8812500000000005
	-1.3312499999999998			7.8375
	-1.6125			7.400000000000001
	-2.4375			6.3625
	-2.1125000000000003			6.543750000000001
	-2.2937499999999997			6.21875
	-2.34375			6.724999999999999
	-1.6187499999999997			7.718749999999999
	-1.2749999999999997			8.287500000000001
	-2.1125			7.306250000000001
	-2.7199999999999993			6.706666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

41°C

أعلى درجة حرارة

11 يوليو 26

-11°C

أدنى درجة حرارة

21 يناير 26

التفصيل الموسمي

أحر شهريوليو35.7°C

أبرد شهريناير-0.95°C

أكثر شهر أمطارًايوليو5.56mm

أكثر شهر رياحًامايو23.71km/h

Kaifeng 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 Kaifeng تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Kaifeng، مع متوسط درجات حرارة قصوى تبلغ حوالي 34°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 43°C في 2011-06-08.

2. ما هو أبرد شهر في Kaifeng تاريخيًا?

يناير هو أبرد شهر في Kaifeng، مع متوسط درجات حرارة دنيا تبلغ حوالي -2°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -15°C في 2023-12-21.

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

يبلغ متوسط هطول الأمطار السنوي في Kaifeng تقريبًا 706.1mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Kaifeng تاريخيًا حوالي 109.8 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 18.3 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Kaifeng هي 43°C في 2011-06-08.

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

أدنى درجة حرارة مسجلة على الإطلاق في Kaifeng هي -15°C في 2023-12-21.

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

تشهد Kaifeng أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 48.2 كم/ساعة في 2025-11-26.

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

عادةً، تبلغ رطوبة Kaifeng ذروتها في أغسطس بحوالي 74.07% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 44.5%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Kaifeng السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Kaifeng 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

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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

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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

Kaifeng السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Kaifeng 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

Kaifeng السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا