Jieshou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Jieshou رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-1.26875	-1.7		9.34375	2.3
	0.07500000000000005	-3.3		9.25	4.5
	-0.21249999999999997	-1.7		9.262499999999998	8.2
	-0.006249999999999839	2.9		8.36875	8.6
	0.19375000000000006	0.1		7.375	8.5
	-0.31249999999999983	1.8		7.225	8.8
	-1.26875	0.1		6.293749999999999	9.7
	-1.2062500000000003	0.6		7.9875	9.5
	-1.28125	3.2		7.68125	13.8
	-1.2750000000000001	2.6		6.88125	8.9
	-0.9624999999999998	-1.9		8.24375	7.1
	-1.3187499999999999	1.8		8.83125	14.4
	-0.3374999999999999	4.9		9.49375	15.3
	-0.09374999999999994	7.8		8.6375	18.2
يناير	-1.15625	7.8		7.45	19.4
	-0.8562500000000001	6.3		7.831250000000001	17
	-1.08125	2.7		8.481250000000001	12.9
	-0.825	2.3		9.3375	7.8
	0.41875000000000007	-2.1		10.637500000000001	2.1
	0.043750000000000025	-8.6		8.4375	-2.6
	-0.4750000000000001	-13.3		7.893750000000001	-1.8
	-1.1874999999999998	-7.9		7.7375	2.9
	-0.5000000000000002	-3.9		8.11875	8.8
	-0.22499999999999998	-0.5		7.362500000000001	10.9
	-0.7875000000000001	1.8		7.268749999999999	4
	-0.7124999999999999	1.8		7.987500000000001	8.1
	-0.9812500000000001	0.8		8.0375	6
	-0.5125	3.4		8.25	10.3
	-0.28125	1.7		9.05	9.4
	0.06250000000000001	2.3		9.506250000000001	4.8
	0.46874999999999994	2.3		9.2125	5.1
	-0.20625	3.2		8.38125	11.5
	0.09374999999999992	2.4		7.81875	11.6
	-0.48125000000000007	3		8.61875	13.2
	-0.8624999999999999	5.1		9.843750000000002	15.8
	5.551115123125783e-17	6.7		9.78125	15.9
	1.125	0.4		9.556249999999999	9.5
	0.6187499999999998	-1.6		7.95	5.2
	-0.38749999999999984	-1.1		7.45625	8.6
	-0.35000000000000014	-0.8		8.681249999999999	8.3
	-0.13125000000000003	2.3		9.768749999999999	13.8
	0.6	1.9		10.0375	14.1
	0.9187499999999997	5.4		10.40625	17.1
	1.05625	6.4		11.093749999999998	18.3
	2.23125	8.4		11.556249999999999	21.4
فبراير	1.425	3		10.0125	15.2
	1.09375	1.6		11.462499999999997	6.2
	1.2687499999999998	-0.3		11.36875	9.6
	1.9687500000000002	1.8		11.03125	12.8
	1.74375	6		12.18125	17.6
	1.3937499999999998	7.7		11.337499999999999	19.7
	1.8499999999999996	9.9		11.29375	22.3
	2.3625	9.3		12.343749999999998	17.6
	2.31875	5.9		12.800000000000002	9
	3.1875	4.5		13.406249999999998	9.3
	3.5124999999999993	4.2		13.331250000000002	14.5
	4.1000000000000005	6.3		12.91875	9.3
	4.025	6.2		12.943750000000001	10.1
	3.925	7.8		12.387500000000001	10.7
	3.2625	4.1		11.793750000000001	7.6
	2.23125	2.9		12.41875	4.8
	3.0625	3.1		13.7375	11.8
	3.90625	5		15.1	15.4
	5.093750000000001	7.8		14.118749999999999	12.3
	4.4937499999999995	4.1		13.899999999999999	13.2
	4.0875	4.3		15.0875	11.2
	5.5625	3.3		16.506249999999998	13.2
	5.14375	6.7		16.6875	14.9
	5.162499999999999	4.3		16.131249999999998	17.7
	5.8	8.1		18.03125	18.2
	7.106250000000001	4.8		17.6375	15.9
	6.3374999999999995	5.7		17.44375	18.2
	6.5375	6.6		17.09375	17.9
مارس	6.643750000000001	6.6		17.881249999999998	8.3
	6.743750000000001	6.9		16.6125	8.5
	6.7749999999999995	6.4		16.8875	7.7
	7.44375	6.2		16.643749999999997	14.9
	7.787500000000001	3.7		16.875000000000004	16.1
	6.93125	8		15.631249999999998	17.9
	5.893749999999999	7.8		17.11875	18.6
	7.4875	11.6		17.96875	21.2
	7.51875	12.3		17.14375	16.2
	7.95625	9.9		17.35625	15.7
	7.843749999999999	8.9		18.40625	19.8
	7.81875	12.6		19.474999999999998	17.3
	7.9125000000000005	11.5		20.756249999999998	22.4
	9.174999999999999	10.4		20.793750000000006	18.9
	9.125	12.2		20.968749999999996	25.3
	10.2375	11.3		19.86875	15.2
	9.0125	10		20.118750000000002	17.7
	9.575	10.6		21.393749999999997	24
	9.34375	12.5		21.65625	21.5
	9.818750000000001	14.4		20.625000000000007	21.4
	9.075	8.3		18.575	21.4
	9.13125	13.7		19.10625	27.2
	9.13125	14.3		19.425	19.5
	8.975	11.6		20.187500000000004	20.5
	9.956249999999999	11		23.05625	16.7
	10.431249999999997	13.3		23.299999999999997	21.7
	11.043750000000001	15.2		22.799999999999997	25.5
	11.368750000000002	14.1		22.399999999999995	22.9
	10.80625	11.4		20.7625	20.8
	10.53125	11.4		21.674999999999997	16.8
	10.443749999999998	13		22.44375	19.3
أبريل	11.66875	12.6		24.1125	22.8
	12.718749999999998	15.8		24.674999999999997	22.5
	12.850000000000001	14.2		26.00625	26.6
	13.9375	15.5		23.762499999999996	26.8
	12.043750000000003	14.2		22.974999999999998	29
	12.562499999999998	11.9		23.45625	16
	13.06875	8.5		20.86875	19.3
	11.906250000000002	7.7		22.125000000000004	9.8
	12.331249999999997	10.1		23.724999999999998	18.1
	13.26875	9		24.156250000000004	23.2
	13.087500000000002	12.6		23.256249999999998	25.6
	13.325000000000001	14.7		24.443749999999998	28.7
	13.774999999999999	16.1		25.806250000000002	27.9
	13.543750000000001	12.6		25.387500000000003	19.6
	13.45625	10.3		26.212500000000002	20.8
	14.98125	10.5		28.29375	23.7
	15.18125	12.4		28.21875	26.1
	15.36875	13.7		26.7625	16.2
	14.9375	13.7		26.9375	25.4
	15.625	14.2		26.893749999999994	27.9
	15.818750000000001	15.3		27.4875	28.5
	15.800000000000002	18		26.250000000000004	31.1
	16.0625	15.2		27.61875	24.8
	16.668750000000003	12.6		25.2	23.7
	15.862499999999997	12.6		26.012500000000003	27.5
	15.075	15.4		25.78125	30.3
	14.924999999999997	18.9		26.2375	33.9
	16.075	20.8		28.700000000000003	32.8
	17.025000000000002	22.1		29.04375	31.6
	17.893749999999997	20.7		28.6125	29.4
مايو	17.637500000000003	17.7		26.987499999999997	29.4
	16.737500000000004	20.2		28.1625	32.4
	17.59375	20.8		28.89375	25.5
	18.6125	19.8		30.200000000000003	22
	19.062499999999996	19.2		29.85625	25.8
	18.81875	19.6		30.44375	24.8
	18.356250000000003	15.8		28.793750000000003	27.5
	17.706249999999997	20.1		28.58125	28.5
	16.787499999999998	20.7		28.900000000000002	32
	18.09375	22.1		29.562499999999996	26.5
	19.556250000000002	23		30.25	29.5
	19.25625	18.2		28.949999999999996	22.4
	19.3125	17.7		29.974999999999998	29.3
	19.493750000000002	22		29.9625	31.2
	19.14375	22.2		30.00625	30.6
	20.018750000000004	22.4		29.79375	32.9
	19.712500000000002	20.4		30.23125	32.5
	20.58125	23		31.11875	33.6
	20.6	24.1		31.012499999999996	36.4
	20.44375	24.9		30.400000000000002	36.3
	19.66875	24.5		30.568749999999998	36.1
	20.38125	22.4		31.799999999999997	35.3
	21.5625	21.1		31.98125	37.7
	21.587500000000002	18		31.89375	23.7
	21.51875	18.6		32.79375	29
	22.09375	18.5		33.01875	32.5
	22.475	21.6		32.2625	35
	21.787499999999998	23.2		33.293749999999996	36.6
	22.775000000000002	23.4		33.25	34
	22.712499999999995	19.8		33.13125	30.4
	22.562500000000004	20.5		33.63125	34.6
يونيو	23.068749999999994	23.9		33.63125	35
	23.3125	23.6		32.162499999999994	33.4
	22.69375	23.5		31.737500000000004	36.3
	22.893750000000004	21.9		31.1125	28.9
	22.706249999999997	21.1		32.03125	22.5
	23.025	20.2		31.793750000000003	31.9
	23.00625	20.9		31.525000000000002	32.7
	22.8125	18.8		32.150000000000006	20.8
	23.225	19.2		31.962500000000002	28.6
	22.75	21.3		32.387499999999996	26.5
	22.75625	20.7		30.312500000000004	31.4
	22.643750000000004	23.1		31.500000000000004	31.6
	22.84375	22.3		31.812499999999993	35.1
	23.562499999999996	24		31.681250000000002	35.4
	23.331249999999997	25.5		31.4125	35.6
	23.318749999999994	24.9		32.518750000000004	34.9
	23.9375	22.5		32.6625	35.5
	24.368750000000002	23.9		32.768750000000004	35
	24.475	22.4		32.84375	30.5
	24.0875	23.3		31.562500000000004	29.8
	23.4125	25.3		30.968749999999996	31.8
	23.656249999999993	25.6		31.94375	32.2
	23.731249999999996	23.7		31.79999999999999	32.2
	24.4125	24.7		32.7875	33.4
	24.425000000000004	25.6		32.512499999999996	34.8
	24.200000000000003	26.5		32.20625	36.7
	24.68125	26.3		33.35	37.3
	24.712500000000002	25.4		31.949999999999996	32.2
	24.437499999999996	26.6		32.7625	33.6
	24.568749999999998	26.6		33.06250000000001	37.9
يوليو	24.437499999999996	29		31.8375	36.2
	23.581250000000004	28		30.81874999999999	34.9
	23.599999999999994	24.1		31.525000000000006	32.5
	24.11875	22.4		31.818749999999998	33.3
	24.181249999999995	23.5		32.081250000000004	33
	24.150000000000006	22.7		31.8875	34.1
	24.56875	23.9		33.075	35.9
	25.162499999999998	24		34.25	34.6
	25.61875	24		33.8125	33.1
	25.212500000000002	23.7		34.1625	34.2
	25.650000000000002	25.6		34.506249999999994	36.7
	25.274999999999995	26.1		34.4375	37.4
	25.443749999999998	24.5		33.487500000000004	27.7
	25.037500000000005	24.7		32.75	30.3
	25.35	24.5		33.543749999999996	30.6
	25.431250000000002	24.4		34.4125	32
	25.624999999999996	25.2		34.175	33.1
	25.79375	25.8		34.16250000000001	33.8
	25.3875	26.1		33.712500000000006	36.8
	25.53125	25.4		34.49375	36.6
	25.8125	25.8		34.43749999999999	36.3
	25.90625	24.4		34.168749999999996	35.4
	25.875	25.4		33.84375	35.7
	25.2625	24.5		33.175000000000004	35.4
	24.825000000000003	24.9		33.24375	34.3
	24.7	22.5		33.0125	31.4
	24.175	23		32.81875	28.3
	24.6125	23.4		33.106249999999996	26.4
	24.750000000000004	23.2		33.287499999999994	29.9
	24.3125	21.9		32.556250000000006	25.7
	24.20625	21.3		33.60625	29.4
أغسطس	24.5875		21.4	33.7125		29.4
	24.2125		22.2	33.075		30.9
	24.112499999999997		23.2	33.33749999999999		31.6
	24.431250000000002		23.2	33.15		31.7
	24.2375		22.9	32.875		30.6
	23.8875		24.6	32.1		27.8
	23.150000000000006		24.2	31.393750000000004		29.4
	23.231250000000003		24.6	31.2625		30.2
	22.487499999999997		22.6	30.231250000000003		30.8
	22.1625		22.5	30.975000000000005		31.1
	22.249999999999996		22.3	30.59375		31
	21.95		22	29.956250000000008		29.5
	21.15		20.8	28.33125		28.5
	21.018749999999997		21.3	29.506249999999994		30
	20.85		20.7	29.825000000000003		29.8
	20.725		20.5	29.45		29.2
	20.73125		20.7	29.143749999999997		29
	20.881249999999998		20.9	29.31875		29.8
	21.087500000000002		20.4	29.725		29.1
	20.65		20.7	29.700000000000003		29.8
	20.41875		20.5	29.631249999999994		30.1
	20.21875		20.6	29.837500000000002		30
	20.84375		21.1	29.4		29.3
	20.35		20	29.256250000000005		29.6
	19.693749999999998		19.6	28.968749999999996		28.4
	20.21875		20	29.368750000000006		29
	20.65		20.3	28.70625		28.2
	19.9625		19.8	28.706249999999994		28
	19.587500000000002		19.3	27.775000000000006		27.4
	19.349999999999998		19.5	28.16250000000001		28
	19.843750000000004		19.6	28.187499999999996		28.4
سبتمبر	19.525			28.593749999999996
	19.581249999999997			28.91250000000001
	19.55625			28.0625
	19.262499999999996			27.043750000000003
	18.59375			26.98125
	18.375			27.287500000000005
	18.087500000000002			27.631249999999998
	17.412499999999998			26.312499999999996
	16.831249999999997			26.143750000000004
	16.90625			25.499999999999996
	17.525000000000002			25.8375
	18.09375			26.568749999999994
	18.55			25.7875
	18.218750000000004			26.475
	16.83125			26.05625
	17.1			26.368749999999995
	17.1125			25.843749999999996
	16.9875			26.087500000000006
	15.818750000000001			26.13125
	14.850000000000001			24.55625
	14.41875			22.987499999999997
	14.39375			21.84375
	14.425			22.55
	15.425			24.631249999999998
	15.006249999999998			24.981250000000003
	14.5125			23.75625000000001
	14.200000000000001			23.075
	13.950000000000001			23.08125
	14.143750000000002			22.875
	14.575000000000001			22.912499999999998
أكتوبر	14.23125			22.46875
	14.2			21.962500000000002
	13.643750000000002			22.706249999999997
	13.075000000000001			22.212500000000002
	12.83125			22.0375
	12.89375			21.393750000000004
	12.575000000000001			21.33125
	12.65			22.256249999999998
	12.40625			22.237499999999994
	11.668750000000001			21.800000000000004
	12.087499999999999			19.75
	11.2625			20.624999999999996
	11.675			20.10625
	12.5125			21.1125
	12.00625			20.562499999999996
	11.662499999999998			20.83125
	11.674999999999999			21.29375
	11.74375			21.15
	11.475000000000001			20.675000000000004
	10.7			20.893749999999997
	10.462500000000002			19.4875
	10.30625			18.499999999999996
	9.675			18.562500000000004
	9.656250000000002			17.8
	8.887500000000001			18.1375
	9.11875			18.231250000000003
	9.40625			17.6625
	9.206249999999999			17.506249999999998
	8.91875			17.450000000000003
	8.375			17.650000000000002
	8.331249999999999			18.287499999999998
نوفمبر	9.06875			18.118750000000002
	8.8375			16.6625
	8.10625			16.20625
	6.9624999999999995			15.150000000000004
	7.48125			16.412499999999998
	7.4			16.6125
	8.125			15.887499999999998
	6.775000000000001			15.231249999999998
	5.70625			13.18125
	4.231249999999999			12.2875
	4.0125			13.043750000000003
	4.00625			13.137500000000001
	5.206250000000001			13.843750000000002
	5.31875			14.112499999999999
	4.625000000000001			12.775000000000002
	4.09375			11.34375
	3.0062499999999996			11.625
	2.8000000000000003			12.424999999999997
	2.9749999999999996			11.950000000000001
	3.33125			11.88125
	3.18125			12.668750000000001
	2.7687500000000003			11.98125
	2.0125			12.34375
	3.3062499999999995			12.625
	3.05625			12.1125
	3.16875			11.3
	1.6250000000000002			9.18125
	1.0937499999999998			10.05625
	0.65			10.212499999999999
	1.25625			9.056249999999999
ديسمبر	1.4312499999999997			8.375
	-0.25625			7.737500000000001
	-0.8874999999999997			8.45625
	0.03125000000000011			9.468750000000002
	0.70625			9.975
	0.08750000000000013			9.412499999999998
	0.48750000000000027			9.6
	0.51875			9.681249999999999
	0.08749999999999991			9.51875
	-0.10000000000000002			8.162500000000001
	-0.4499999999999999			8.362499999999999
	-0.19999999999999998			8.625
	-0.60625			8.2625
	0.40625			9.656250000000002
	0.04999999999999999			9.60625
	-0.3999999999999999			9.231250000000001
	-1.7533333333333336			8.226666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

38°C

أعلى درجة حرارة

14 يوليو 26

-13°C

أدنى درجة حرارة

21 يناير 26

التفصيل الموسمي

أحر شهريوليو33.63°C

أبرد شهريناير0.45°C

أكثر شهر أمطارًاأغسطس9.01mm

أكثر شهر رياحًاأغسطس24.35km/h

Jieshou 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 Jieshou تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Jieshou، مع متوسط درجات حرارة قصوى تبلغ حوالي 33°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 41°C في 2013-08-10.

2. ما هو أبرد شهر في Jieshou تاريخيًا?

يناير هو أبرد شهر في Jieshou، مع متوسط درجات حرارة دنيا تبلغ حوالي 0°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -14°C في 2018-01-12.

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

يبلغ متوسط هطول الأمطار السنوي في Jieshou تقريبًا 928.5mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Jieshou تاريخيًا حوالي 138.2 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 19.7 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Jieshou هي 41°C في 2013-08-10.

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

أدنى درجة حرارة مسجلة على الإطلاق في Jieshou هي -14°C في 2018-01-12.

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

تشهد Jieshou أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 49.7 كم/ساعة في 2025-04-12.

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

عادةً، تبلغ رطوبة Jieshou ذروتها في أغسطس بحوالي 75.9% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 51.1%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Jieshou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Jieshou 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

Jieshou السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Jieshou 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

Jieshou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا