Qingping السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Qingping رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.8062499999999997	-6.3		8.28125	3
	-1.4124999999999996	-3.7		6.975	2.8
	-2.3875000000000006	-1.7		7.2562500000000005	8
	-2.16875	0.7		6.05	8.2
	-2.33125	-0.2		5.05	7
	-2.5124999999999997	-1.1		4.6	7.5
	-2.725	0.8		5.2250000000000005	8
	-2.6812499999999995	-0.6		6.4375	8
	-2.6624999999999996	2.1		5.6000000000000005	11.9
	-3.1125000000000007	0.3		6.20625	6.3
	-2.475	-3.2		6.75625	4.8
	-2.6999999999999997	0		7.193749999999999	12.5
	-1.46875	3.8		7.9625	11.8
	-2.0124999999999997	6		7.687500000000001	13.1
يناير	-2.55	5.9		6.118750000000001	15.9
	-2.4999999999999996	2.1		5.9375	10.2
	-2.5437500000000006	-3.6		7.3	4.3
	-2.01875	-2.7		7.7749999999999995	2.3
	-1.0625	-4.7		7.8687499999999995	-2.2
	-1.7875	-10		6.13125	-3.6
	-2.14375	-11.6		5.774999999999999	-2.5
	-2.9374999999999996	-4.7		5.6499999999999995	3.3
	-3.0125000000000006	-2.4		6.3500000000000005	7.4
	-2.5375	-1.3		4.34375	6.6
	-2.96875	-1.2		5.725	1.4
	-2.6062499999999997	-1.5		6.093750000000001	6.3
	-2.8000000000000003	-0.5		6.218750000000001	4.7
	-2.3	-0.5		6.743749999999999	6.8
	-2.23125	-0.2		8.075	3.8
	-1.6250000000000002	-1.6		7.706249999999999	1.2
	-1.5562499999999997	-1.4		7.343750000000001	6.4
	-1.6375	0.8		6.79375	9.3
	-2.24375	1.2		7.212500000000001	8.2
	-2.4000000000000004	2		7.581249999999999	10
	-1.58125	3.6		8.3875	13.8
	-1.8625	5.4		7.799999999999998	12.2
	-1.25625	-1.7		7.250000000000001	3.5
	-2.2437500000000004	-2.1		6.1625	6.6
	-2.4875	-1.6		6.3375	7.6
	-2.26875	-1.1		7.4624999999999995	6.1
	-1.8250000000000002	0.4		8.18125	10.7
	-1.2125	1.4		8.61875	12.7
	-0.83125	4.1		8.7875	16.1
	-0.86875	7.2		9.712499999999999	17.3
	-0.19375000000000012	7.5		9.637500000000001	20.2
فبراير	-0.31249999999999994	0.7		8.45625	11
	-0.2124999999999999	0.5		10.049999999999999	5.6
	0.07499999999999984	-0.3		9.4375	11.3
	0.625	3.7		10.20625	13.5
	0.8125	6		11.468749999999998	16.5
	0.29375000000000007	6.6		10.1375	22
	0.5437499999999998	9.1		10.675	24.3
	0.51875	7.7		11.312500000000002	15.9
	0.7125000000000001	1.5		11.41875	10.6
	1.40625	2		11.94375	11.2
	1.7062499999999998	4.5		11.75	10.9
	1.8875	6.3		12.0625	7.9
	1.46875	4.4		11.656249999999998	9.3
	2.1	2.8		12.11875	7.8
	2.29375	0.4		10.937500000000002	1.8
	1.4625	0.4		12.149999999999999	3.2
	2.41875	1.1		13.831250000000002	10.5
	3.0000000000000004	3.4		14.3125	10.8
	3.08125	6		13.106249999999998	14.9
	3.1437500000000003	2.7		12.643749999999999	8.9
	2.925	1.8		14.656249999999998	8.6
	4.425000000000001	2		15.493750000000002	13.1
	3.6500000000000004	6.5		15.387499999999998	12.8
	3.81875	3.9		15.481250000000001	16.7
	4.9375	7.7		16.962500000000002	16
	5.25625	3.4		16.75	13.3
	5.36875	5.1		16.28125	16.2
	5.7437499999999995	4.4		16.93125	10.9
مارس	5.26875	4.9		17.8625	9.9
	4.425	5.8		15.83125	12
	5.643750000000001	5.2		16.70625	9.4
	6.1125	5.7		16.999999999999996	9.3
	6.343750000000001	2.6		16.7375	14
	5.843750000000001	6		16.25625	17.3
	5.5687500000000005	7.3		16.893749999999997	17.6
	6.456249999999999	9.9		17.35	19.9
	6.906249999999999	10		17.718749999999996	19.2
	6.999999999999999	10.6		17.768749999999997	17.1
	6.999999999999999	10.4		17.9	22.7
	6.793749999999999	11.6		19.087500000000006	21.6
	7.031250000000001	11.6		21.074999999999996	22.5
	8.21875	12.3		20.449999999999996	21
	8.29375	12.2		19.7375	24.1
	9.1375	11.6		19.33125	19.1
	8.250000000000002	8		19.74375	21.3
	8.293750000000001	11.4		21.2375	23.9
	8.693750000000001	11		20.46875	22.6
	8.168750000000001	11.5		18.2625	26.1
	7.3	9.3		18.4875	19.5
	8.125	12.3		19.84375	26.9
	8.7375	10.8		19.506249999999998	21.9
	9.13125	11		20.906250000000004	17.6
	8.8875	8.8		22.3875	12.3
	9.95	9.5		23.05	23.7
	10.2125	15.7		21.837500000000002	25.6
	10.118750000000002	13.8		21.3125	22.7
	8.756250000000001	13.5		20.8875	22
	9.2625	12		21.46875	19.5
	10.6	10.8		22.874999999999996	23.2
أبريل	11.44375	13.2		24.506249999999998	23.2
	11.7	15		24.6875	22.4
	12.212499999999999	12.6		24.931250000000002	27.4
	12.512500000000003	13.7		23.60625	26.7
	10.593749999999998	13.2		22.043750000000003	28.5
	10.543750000000001	10.1		22.900000000000002	16.9
	11.26875	8.1		20.44375	12.5
	10.687499999999998	7.7		21.08125	18.8
	10.831249999999999	9.1		23.849999999999998	21.6
	12.25625	10		23.287499999999998	23.8
	11.481250000000001	13		22.83125	25.2
	12.274999999999999	14.3		24.537499999999994	29.3
	12.55	16.6		25.33125	26
	12.806249999999999	14		25.356250000000003	20.7
	13.08125	10.5		26.775000000000006	21.5
	13.9	11.2		28.356250000000003	26.3
	14.29375	13.1		27.731249999999996	25
	14.95625	13.4		27.268750000000004	21.4
	14.1625	11.6		26.18125	25.4
	14.96875	12.7		26.874999999999996	26.8
	14.293750000000001	14.9		27.106249999999996	28.4
	14.83125	18.2		26.61875	30.2
	15.33125	15.6		27.206249999999997	23.4
	15.100000000000001	12.8		25.393749999999997	23.4
	14.156250000000002	12.3		24.85	27.5
	14.112499999999999	15.1		24.94375	32.3
	14.581250000000002	18.2		27.418749999999996	31.7
	15.63125	19.5		28.993750000000006	33.7
	16.38125	18.9		28.768749999999997	30.4
	16.44375	18.1		28.05	29.6
مايو	16.24375	18.4		27.98125	30.1
	16.131249999999998	19.3		27.812499999999996	25.9
	16.71875	18.7		30.8	20.9
	17.60625	17.4		31.124999999999996	25.1
	18.050000000000004	16.6		30.049999999999997	25.3
	17.19375	17.6		29.900000000000002	23.1
	17.44375	16.9		27.943749999999998	25.3
	16.6125	19.9		29.20625	27.5
	16.693749999999994	19		29.168749999999996	30.3
	17.75625	19.1		29.468749999999996	28.1
	18.40625	18.7		29.23125	20.8
	18.38125	18		30.10625	22.5
	18.606249999999996	16.6		29.987500000000004	29.2
	18.31875	19.1		30.093749999999996	22.4
	18.168750000000003	19.7		30.525000000000002	30.3
	19.18125	20.1		30.650000000000002	33
	18.7625	20.6		30.43125	32
	19.606250000000003	21.2		31.46875	33.6
	20.187500000000004	23.3		32.175000000000004	35.3
	20.031249999999993	24.1		30.668749999999992	37.2
	19.51875	20.7		31.306249999999995	33.5
	19.443749999999998	23.2		32.48125	33.3
	20.58125	18.4		32.70625	29.2
	21.19375	17		32.95	26.4
	21.649999999999995	19.6		33.35	30.3
	21.29375	18.6		32.275000000000006	32.4
	20.818749999999998	21.5		32.3375	33.5
	21.106250000000003	21.4		33.84375	33.4
	21.9625	22.1		33.2	32.8
	21.756250000000005	18		33.6125	32.5
	22.031250000000004	21.6		34.30625	35.4
يونيو	22.59375	24.5		33.650000000000006	36.1
	22.081249999999997	22.9		32.793749999999996	34.3
	21.8125	22.8		32.46875	34.5
	21.318749999999998	20.1		32.074999999999996	30.5
	21.825	19.1		32.756249999999994	22.4
	22.275000000000006	18.4		32.7375	32.2
	22.625	16.8		32.88125	23.9
	22.51875	17.5		33.01875	25.1
	22.706249999999997	18.9		32.80625	27.6
	21.937500000000004	20.7		32.43125	31.4
	21.85625	20.3		31.162499999999998	32.1
	21.58125	22.4		31.98125	30.2
	22.30625	23.1		32.881249999999994	35.3
	22.74375	23.1		32.712500000000006	35.5
	22.693749999999998	25.3		32.03125	35.6
	23.093750000000004	25.9		33.56875	34
	23.375000000000004	21.9		33.46875	34.6
	23.306250000000002	25.9		32.80625	36.5
	23.418750000000003	24.5		32.4	33.8
	22.55625	22.3		32.23125	37
	22.662500000000005	23.3		32.37499999999999	37.2
	22.906249999999996	22.3		32.231249999999996	33.8
	22.549999999999997	23.7		34.30625	35.3
	23.49375	24.3		33.606249999999996	38.6
	23.3	26.2		33.3125	37.7
	23.125000000000004	26.6		31.887500000000003	34.6
	23.3375	26.9		32.3625	38.6
	23.381249999999998	26.6		32.581250000000004	36.6
	23.29375	27		33.61875	36
	23.6	28.2		34.06875	38.4
يوليو	23.3375	25.3		31.51875	34.6
	22.84375	25.2		31.493750000000002	33.1
	22.6125	21.8		31.349999999999998	28.6
	22.6125	20.9		31.200000000000003	34.1
	22.337499999999995	24.9		31.43125	36.3
	22.774999999999995	23.1		31.868750000000006	34
	23.325	24.1		33.143750000000004	36.2
	23.831249999999997	23.4		32.46875000000001	34.7
	23.54375	23.6		32.00625000000001	35.3
	24.231250000000003	22.2		33.631249999999994	32.7
	24.624999999999996	23.1		33.93749999999999	30.2
	24.099999999999998	23.4		34.04375	32.1
	23.99375	22.5		32.6125	30.5
	23.887499999999996	23.1		31.99375	29
	24.024999999999995	23.6		32.4	29.3
	23.706249999999997	24.4		33.29375	29.9
	24.206249999999997	25.1		33.125	30.8
	23.550000000000004	24.9		31.65	30.9
	23.35625	25		31.287499999999998	33.9
	23.918750000000003	23.7		33.5	32.9
	24.674999999999997	22.1		33.725	31.2
	24.487499999999997	22.2		31.81875	31.2
	23.524999999999995		22.7	31.25		31.9
	23.106249999999996		24.4	30.906249999999996		34.3
	22.912499999999998		23.4	31.837500000000002		30.4
	22.45625		19.7	30.831250000000004		30.3
	22.468749999999993		20.3	31.837499999999995		30.7
	22.975		23.2	32.900000000000006		30
	23.468750000000004		20.5	32.0625		25.6
	23.06875		19.9	32.418749999999996		24.9
	23.175		19.9	31.556250000000006		20.4
أغسطس	23.150000000000002		22.6	32.37499999999999		32.7
	22.450000000000006		22.4	31.7375		31.6
	21.962500000000002		22.2	31.30625		31.4
	22.2125		22.6	30.612500000000008		30.6
	22.51875		22.2	30.137499999999996		29.7
	21.818750000000005		21.6	29.993749999999995		29.3
	21.543749999999996		21.1	29.9125		30
	21.437500000000007		21.4	30.087500000000002		29.8
	21.3		21.1	29.099999999999994		29.5
	20.581249999999994		20.9	29.44375		29.7
	20.518749999999997		20.3	29.212500000000006		29.4
	19.95		19.8	29.149999999999995		28.9
	19.474999999999998		19.5	28.006249999999998		27.8
	19.393750000000004		19.5	27.931249999999995		28.6
	19.34375		19.3	28.606250000000003		28.4
	19.725		19.1	28.15625		28.1
	19.343750000000004		19.3	28.906250000000004		28.6
	19.625		19.3	28.31875		28.5
	20.025		19.6	28.674999999999997		27.8
	19.474999999999998		19.1	28.2875		28.5
	18.825		18.9	27.10625		27.5
	18.91875		19.5	27.75		27.8
	19.043750000000003			28.162499999999998
	18.7625			28.28125
	18.974999999999998			28.16875
	18.53125			27.900000000000002
	19.25625			28.06875
	17.83125			26.65625
	17.500000000000004			25.96875
	17.606250000000003			26.36875
	17.868750000000002			26.131249999999998
سبتمبر	17.95625			26.412500000000005
	17.70625			25.9625
	17.15625			25.60625
	16.918749999999996			25.256250000000005
	16.43125			24.2
	16.69375			25.968749999999996
	16.299999999999997			26.725000000000005
	16.287499999999998			25.1125
	15.600000000000001			25.03125
	15.731250000000003			24.1
	15.575			24.175000000000004
	16.25625			24.668750000000003
	16.887499999999996			23.8375
	16.181250000000002			23.931250000000006
	15.681250000000002			25.599999999999998
	15.537500000000001			25.35625
	15.600000000000001			23.693749999999994
	15.23125			24.587500000000002
	14.1125			24.375
	13.662500000000001			22.306249999999995
	12.6375			20.9875
	13.131250000000001			20.43125
	13.26875			21.893749999999994
	13.5375			21.69375
	13.393749999999997			21.606250000000003
	13.075			21.01875
	12.631250000000001			21.0625
	12.71875			21.0875
	12.7			22.3625
	13.143749999999999			21.825
أكتوبر	12.68125			20.8
	12.606250000000001			20.54375
	11.618749999999999			20.6875
	11.356250000000001			20.8625
	11.124999999999998			20.34375
	11.000000000000002			19.60625
	10.80625			20.08125
	11.168750000000001			20.050000000000004
	10.8625			20.1125
	10.15			19.55
	10.299999999999999			18.606249999999996
	10.075			18.9875
	10.15625			19.6875
	10.9625			19.506249999999998
	10.50625			19.2625
	9.85			19.6875
	10.543750000000001			19.2125
	10.837499999999999			18.4625
	9.53125			18.799999999999997
	9.13125			18.981250000000003
	8.6625			18.243749999999995
	8.48125			16.281249999999996
	7.631250000000001			16.618750000000002
	7.749999999999999			15.356250000000001
	7.75			16.55
	7.4625			16.2625
	7.643750000000001			15.04375
	7.01875			15.462499999999999
	7.125			15.725
	7.081250000000001			15.781250000000004
	6.931249999999999			16.25625
نوفمبر	7.30625			15.856249999999998
	6.61875			13.756249999999998
	5.63125			13.918750000000001
	5.23125			13.881249999999998
	5.73125			14.824999999999996
	5.424999999999999			14.475000000000001
	5.443750000000001			13.350000000000001
	4.612500000000001			12.406250000000002
	3.15			11.1625
	2.2			10.175
	1.6875			10.912499999999998
	1.6437500000000003			11.00625
	3.1374999999999997			10.831249999999999
	3.05625			11.518749999999999
	2.0062499999999996			9.725000000000001
	1.1750000000000003			9.112499999999999
	0.7874999999999999			9.73125
	1.1437499999999998			10.224999999999998
	1.5999999999999999			10.375
	1.5500000000000003			10.543750000000001
	1.8875000000000002			11.175000000000002
	1.19375			10.31875
	0.50625			10.66875
	1.06875			10.306249999999999
	0.7625			10.44375
	0.7875			8.73125
	-0.018749999999999906			7.531249999999999
	-0.9687499999999999			6.718749999999999
	-1.3937500000000003			7.550000000000001
	-1.1687499999999995			6.23125
ديسمبر	-1.625			5.650000000000001
	-1.84375			6.2562500000000005
	-2.21875			6.9312499999999995
	-1.3124999999999998			8.11875
	-0.30625			8.262500000000003
	-1.2062499999999998			7.156249999999998
	-1.375			7.699999999999999
	-1.19375			8.775
	-1.3187500000000003			7.5249999999999995
	-1.95			6.062499999999999
	-1.6124999999999998			6.899999999999999
	-1.975			6.54375
	-1.9875000000000005			6.531249999999999
	-1.7750000000000001			7.43125
	-1.7500000000000002			7.962500000000001
	-1.9375			6.65
	-2.64			6.226666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

39°C

أعلى درجة حرارة

8 يوليو 26

-12°C

أدنى درجة حرارة

21 يناير 26

التفصيل الموسمي

أحر شهريوليو34.2°C

أبرد شهريناير-1.39°C

أكثر شهر أمطارًاأغسطس12.11mm

أكثر شهر رياحًامايو20.8km/h

Qingping 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 Qingping تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Qingping، مع متوسط درجات حرارة قصوى تبلغ حوالي 33°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 42°C في 2011-06-08.

2. ما هو أبرد شهر في Qingping تاريخيًا?

يناير هو أبرد شهر في Qingping، مع متوسط درجات حرارة دنيا تبلغ حوالي -2°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -13°C في 2014-02-11.

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

يبلغ متوسط هطول الأمطار السنوي في Qingping تقريبًا 740.7mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Qingping تاريخيًا حوالي 124.7 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 19.8 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Qingping هي 42°C في 2011-06-08.

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

أدنى درجة حرارة مسجلة على الإطلاق في Qingping هي -13°C في 2014-02-11.

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

تشهد Qingping أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 52.8 كم/ساعة في 2025-04-12.

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

عادةً، تبلغ رطوبة Qingping ذروتها في أغسطس بحوالي 74.2% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 43.8%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Qingping السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Qingping 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

Qingping السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Qingping 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

Qingping السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا