Dazhou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Dazhou رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.8437500000000004	5.1		9.81875	8.5
	2.9749999999999996	4.7		9.36875	10.8
	2.625	5.5		9.350000000000001	7.3
	3.1375	5		9.03125	6.6
	3.1375	3.6		9.1625	10
	3.05625	3		8.443750000000001	9.5
	2.6125	2.1		8.762500000000001	10.1
	2.2375000000000003	3.4		9.456249999999999	11
	2.3	4.2		8.993749999999999	12.2
	2.5375	5		9.143749999999999	13.2
	2.1125000000000003	5.9		9.84375	12.4
	1.39375	7.9		10.656250000000002	14.7
	2.35625	7.2		10.606250000000003	15.4
	2.9625000000000004	9.2		9.95	15.6
يناير	3.1500000000000004	7.8		9.63125	15.4
	2.525	8.7		9.362499999999999	17.8
	1.975	10.1		9.962500000000002	17.4
	1.93125	11.1		10.237499999999999	17.5
	2.3	5.4		10.35	13.1
	3.25625	1		9.51875	5.1
	2.89375	-0.2		9.987499999999999	2.9
	2.10625	2.7		10.14375	5.7
	2.2375	2.7		9.943750000000001	9.3
	2.85	4		9.649999999999997	11.2
	1.9812500000000002	7.2		9.143750000000002	9
	2.9250000000000003	6.5		9.49375	9.1
	2.5437499999999997	8		9.4625	12.2
	2.1562500000000004	6		9.806250000000002	9.6
	2.3375000000000004	6.5		9.81875	8.7
	2.25625	2.7		10.825000000000001	6.4
	3.00625	3.1		9.8875	7.8
	3.2	4.7		10.381250000000001	10.6
	3.7	5.5		9.475	12.1
	2.8437500000000004	8.9		10.76875	10.4
	3.2375	8.3		10.9125	11.5
	3.1875	8.5		11.399999999999999	11.7
	3.25625	9.3		10.85625	14
	3.59375	8.2		10.1875	12.9
	3.1812500000000004	5.6		10.30625	11.4
	3.2312499999999993	5.1		10.74375	9.5
	3.1624999999999996	4.4		10.468750000000002	12.8
	3.29375	6		10.6625	14.1
	3.7874999999999996	8.1		11.387500000000001	16
	3.5749999999999997	9.3		11.14375	15.4
	3.9062500000000004	8.8		10.475	17.8
فبراير	3.743750000000001	8.8		10.337499999999999	14
	3.4999999999999996	6.5		11.981250000000001	8.7
	3.7937499999999997	6.3		11.624999999999998	11.4
	4.6000000000000005	8.3		11.425	15.4
	4.1375	10.2		11.4375	16.8
	4.49375	10.1		12.3	18.5
	4.5562499999999995	11.2		11.5	21.7
	4.40625	13.1		11.96875	22.9
	5.250000000000001	10		12.212499999999999	17.2
	5.64375	10.5		12.575	13
	5.262499999999998	10.1		12.906249999999998	12.8
	5.975000000000002	10.9		13.543750000000003	12.8
	5.906249999999999	10.4		13.4125	17.9
	6.093749999999999	12.4		12.931249999999999	15.2
	6.481249999999998	9.3		13.799999999999999	11.7
	5.918749999999999	8.7		13.187499999999998	14.3
	5.925	12.3		13.856250000000001	18.4
	6.0625	12.1		14.268749999999997	18.7
	7.093750000000001	13.8		13.53125	18.8
	7.031249999999999	12.9		13.65625	18
	6.75625	10.9		14.843750000000002	14.6
	7.05	10		15.412500000000001	11.6
	7.54375	10.6		15.675	14.6
	7.95625	9.8		15.162500000000001	18.4
	7.699999999999999	12.1		16.987499999999997	19.4
	8.075000000000001	13.8		16.35	19.6
	8.2	14.6		16.85625	19.7
	8.35	7.8		16.5875	18
مارس	8.46875	7.2		17.649999999999995	7.8
	9.25	7.4		17	8.4
	8.85	8.4		17.4875	9.6
	9.03125	7.9		17.612499999999997	9.3
	9.33125	6.8		17.900000000000002	10.6
	8.5625	8.8		17.88125	11.7
	9.31875	10.4		17.275	11.7
	8.95625	12.8		15.806249999999999	15.4
	8.61875	10.9		15.53125	14.1
	8.649999999999999	9.7		15.962499999999999	13.6
	8.793750000000001	11.2		16.90625	14.5
	8.681249999999999	11		18.456249999999997	18.1
	9.893749999999999	11.7		19.60625	18.3
	9.1625	13.5		19.562499999999996	19.6
	10.40625	14.2		18.79375	15.9
	10.84375	13.3		18.662499999999998	20
	11.406250000000002	12.5		19.018749999999997	20.5
	10.575000000000001	10.5		19.050000000000004	22.8
	11.13125	14.2		19.012500000000003	15.5
	11.106250000000003	12.6		18.85625	23.1
	11.606249999999998	13.2		18.868750000000002	25.8
	10.606250000000001	15.6		17.525000000000002	19.9
	10.412500000000001	15.4		17.4625	21.9
	9.96875	15.3		18.893750000000004	17.3
	11.012500000000001	14.9		20.425	22.4
	11.85	14.2		21.225	27
	12.5375	15.2		21.112499999999997	28.1
	13.087500000000002	15.2		20.45625	18.2
	12.55625	13.4		20.85	20.6
	11.281249999999998	14.2		20.775	16.9
	12.056249999999999	13.4		20.10625	19.4
أبريل	12.006249999999998	13.4		21.168750000000003	17.5
	12.125	13.1		22.23125	26
	13.275000000000002	15.3		23.3875	24.9
	14.4875	14.2		23.306249999999995	26.8
	13.862499999999999	16.5		23.262499999999992	28.3
	14.031249999999998	14.2		21.381249999999998	16.4
	13.381250000000003	9		21.850000000000005	13.8
	12.781250000000002	8.8		20.98125	21
	13.1	11.3		21.043750000000003	23.9
	13.75625	13.9		20.593749999999996	26
	13.200000000000001	14.9		20.918750000000003	27.9
	13.3625	17		22.025000000000002	24.7
	13.412499999999998	16.4		24.187499999999996	20.2
	14.137500000000003	13.5		24.331250000000004	15.7
	14.70625	10.5		25.037499999999998	21.8
	14.6375	12.5		24.981250000000003	23.7
	14.993749999999997	15.3		24.156250000000004	16.7
	15.16875	15.1		23.418749999999996	24.2
	15.26875	13.8		22.7625	25.5
	15.262499999999998	13.3		23.781249999999996	24.6
	15.837500000000002	13.4		23.49375	28
	14.831250000000002	16.3		23.3625	21.3
	15.375	15.1		23.749999999999996	18.6
	15.799999999999999	14.6		24.575	17.1
	15.968750000000004	13.4		23.88125	23.6
	15.537500000000001	14.5		22.76875	26.4
	15.293750000000001	15.8		24.156250000000004	27.8
	15.931249999999999	17.2		25.099999999999998	26
	15.93125	16.7		24.30625	27.4
	16.0625	17.2		23.406249999999996	31.1
مايو	15.856250000000003	19.7		23.006249999999998	22.5
	15.69375	20.4		24.04375	25.8
	15.89375	19.9		25.425	22.8
	17.293750000000003	17		25.650000000000002	23.2
	17.34375	16.1		26.187499999999996	21.1
	17.9	14.7		26.056250000000002	28.1
	17.125	20.4		24.593750000000004	31.6
	16.181250000000002	21.4		23.475000000000005	29.9
	15.94375	20.4		24.46875	30
	17	20.5		24.84375	30.7
	17.1375	21.9		23.7625	30.5
	17.08125	21.7		24.575000000000003	25.9
	16.9375	20.5		24.6375	23
	16.79375	17		25.000000000000007	20.6
	17.30625	14.3		23.8625	17
	17.137500000000003	13.5		24.993749999999995	26.4
	17.3	17.3		24.900000000000002	29.4
	18.2125	19.2		24.418750000000003	24.8
	18.0125	18.3		25.73125	27.7
	17.74375	20.4		24.600000000000005	29
	17.76875	19.6		25.300000000000004	31
	17.743750000000002	21.9		26.125000000000004	32.2
	18.01875	20.8		26.125	34.1
	18.9875	15.6		27.5	25.3
	19.6875	13		26.593749999999996	16.8
	18.656250000000004	12		25.993750000000002	24.6
	18.8875	16.5		27.543750000000003	28.7
	19.349999999999998	18.3		27.349999999999998	23.8
	19.3375	17.2		26.66875	24.2
	19.618750000000002	16.1		27.424999999999997	25.6
	20.08125	17.4		27.987499999999997	30.7
يونيو	20.031249999999996	19.9		27.943749999999994	33.2
	20.425000000000004	20.1		28.218749999999996	25.7
	20.150000000000002	19.8		27.806250000000002	22.7
	19.974999999999998	19.8		27.800000000000004	21.5
	20.56875	18		28.418750000000003	29.6
	20.975	21		27.362499999999997	31.3
	20.624999999999996	20.7		27.7125	29.7
	20.849999999999998	20.3		28.0375	23.4
	21.35	19.4		28.287499999999998	21.9
	21.206249999999997	18.9		27.68125	25.9
	20.6875	20		27.343749999999996	24.1
	20.706249999999997	17.9		27.749999999999996	26.3
	21.156249999999996	16.4		28.125	29.1
	21.075	19.4		28.181250000000006	30.1
	21.5	20.4		28.64375	28.8
	21.575000000000003	19.9		28.725	28.1
	21.887500000000003	21.4		29.1375	31.7
	21.9875	18.9		28.962500000000006	26.5
	21.5375	17.6		29.88125	28.2
	21.9625	20.3		28.393749999999997	30.8
	21.50625	21.3		28.743750000000002	32.3
	21.53125	22.4		28.4125	34.5
	22.025000000000002	23.4		29.724999999999994	34.3
	22.262500000000003	21.2		29.412499999999998	34.4
	22.26875	22.9		29.731250000000003	34.6
	22.6125	23.5		30.349999999999998	34.6
	22.556250000000002	23.8		29.04375	34.7
	22.412499999999994	23.9		29.156249999999996	35
	22.4125	23.5		29.981250000000003	34.4
	22.606250000000003	24.1		29.825	35.7
يوليو	22.05625	24.5		30.025000000000006	35.9
	22.406249999999996	24		30.0875	35.1
	22.743750000000002	23.2		30.406250000000004	32.2
	22.64375	23.3		30.00625	31.2
	22.4625	20.1		29.299999999999994	32.3
	22.181249999999995	21.8		30.4125	33.8
	23.075	23.2		31.012499999999996	35
	23	23.1		30.48125000000001	34.8
	22.843749999999996	23.4		30.943750000000005	35
	22.91875	22.5		31.231250000000006	34.4
	23.2875	22.3		31.412500000000005	34.7
	23.643749999999994	22.7		32.13125	34.8
	23.537499999999998	22.9		31.85	34.9
	23.68125	22		31.918749999999996	33.3
	23.712500000000002	22.1		32.056250000000006	33.6
	23.612499999999997	21.7		31.306250000000002	31.9
	23.806250000000002	21.9		31.737499999999997	31.9
	23.593749999999996	22.3		31.31875	31.4
	23.381249999999998	21.9		31.937499999999993	29.3
	23.7625	20.5		32.1375	23.9
	24.056249999999995	19.1		31.96875	29.9
	24.031249999999996	20.1		31.9625	31.8
	23.7375	19.8		31.90625	31.7
	24.081249999999997	20.7		31.912499999999994	30.9
	23.462500000000002	22		30.750000000000007	31.6
	23.212500000000002	22.1		31.231250000000003	31.7
	23.462500000000002	22		31.556249999999995	33.3
	23.143749999999994	20.9	20.9	30.45625	34.1	34.1
	23.262500000000003		22.5	30.587499999999995		34.8
	23.31875		21.5	32.03125		34.6
	23.60625		20.9	32.375		33.5
أغسطس	23.6375		20.7	31.949999999999996		33.5
	24.08125		21.7	32.28125		32.3
	23.931249999999995		22	32.09375		33.3
	23.9		21.5	32.237500000000004		31.7
	23.674999999999997		21.3	31.793749999999996		33
	23.4		23.4	32.03125		32
	23.462500000000002		23.4	32.18124999999999		32.1
	22.900000000000002		23	30.36875		30.4
	22.4875		22.6	30.324999999999996		30.6
	22.3875		22.2	30.943750000000005		30.8
	22.225		22.2	29.831250000000004		30.3
	21.856250000000003		21.8	29.75625		29.4
	21.725		21.5	30.099999999999998		29.7
	21.4625		21.6	29.974999999999998		30.1
	20.95		20.8	28.918750000000003		28.3
	21.187500000000004		20.8	28.981250000000003		28.3
	21.075		20.6	27.475		27.3
	20.425		20.2	27.262500000000003		27.7
	20.624999999999996		20.5	27.8375		28.2
	20.8875		20.7	28.550000000000004		28.6
	20.83125		21.1	28.331249999999994		28.5
	20.381249999999998		20.2	28.25625		27.9
	19.85		20	26.643749999999997		27.2
	19.937500000000007		20.3	27.018749999999997		27.7
	20.200000000000003		20.5	27.124999999999996		27.3
	20.562499999999996		20.8	26.706249999999997		26.9
	20.275000000000002		20.3	27.024999999999995		27.6
	19.8375			27.512500000000003
	20.100000000000005			26.618750000000002
	19.2125			26.55625
	19.025000000000002			25.85625
سبتمبر	19.512499999999996			26.30625
	19.668749999999996			26.393749999999997
	19.862499999999997			25.46875
	19.099999999999998			24.987500000000004
	18.88125			24.993750000000002
	18.00625			24.36875
	17.59375			24.55
	17.69375			23.762499999999996
	17.268749999999997			23.4625
	17.3875			23.48125
	17.23125			23.368750000000002
	17.15			22.743750000000002
	17.568749999999998			21.90625
	17.3625			23.25
	17.23125			23.556250000000002
	17.349999999999998			24.4
	17.15			22.656249999999996
	16.81875			23.08125
	16.3375			23.1125
	16.36875			21.71875
	15.73125			21.974999999999998
	15.51875			21.0125
	15.1			21.45625
	15.112500000000004			21.731249999999996
	15.637499999999996			22.650000000000006
	14.743749999999997			21.500000000000004
	14.481250000000001			20.15
	14.537500000000001			20.056249999999995
	14.362499999999999			19.275
	14.137499999999998			20.05
أكتوبر	13.7125			19.425
	13.70625			20.09375
	13.243750000000002			20.18125
	13.49375			19.231250000000003
	13.38125			19.712500000000002
	13.074999999999998			19.374999999999996
	12.931249999999999			20.20625
	13.224999999999998			20.425
	13.612499999999999			20.168750000000003
	13.31875			19.556250000000006
	13.075000000000001			18.462500000000002
	12.40625			17.974999999999998
	12.662499999999998			16.98125
	11.756249999999998			17.825000000000003
	12.049999999999999			17.856250000000003
	11.54375			18.112499999999997
	12.2625			18.2375
	11.8			18.425
	11.431249999999999			18.60625
	11.462500000000002			18.5875
	11.706249999999999			17
	11.46875			17.318749999999998
	10.38125			17.368750000000002
	10.931249999999999			16.568749999999998
	10.41875			16.825
	10.9125			16.562500000000004
	10.918750000000003			16.3875
	10.3375			16.8125
	9.88125			16.06875
	9.90625			15.65625
	9.59375			15.887500000000001
نوفمبر	10.16875			15.525
	9.981250000000001			15.524999999999999
	8.600000000000001			15.393749999999999
	8.23125			15.043750000000001
	8.1875			15.075000000000001
	8.30625			15.2875
	9.31875			14.3
	9.281249999999998			14.943750000000001
	7.8812500000000005			14.08125
	7.1			12.6125
	6.46875			12.79375
	6.6499999999999995			13.81875
	7.6625			13.725000000000001
	7.374999999999999			13.44375
	6.3625			12.662499999999998
	5.718750000000001			11.818750000000001
	5.656249999999999			12.175000000000002
	5.1312500000000005			12.7625
	5.468750000000001			12.53125
	5.9437500000000005			12.39375
	5.999999999999999			12.78125
	5.58125			12.25625
	5.324999999999999			12.118749999999999
	5.5			12.06875
	5.356250000000001			12.3
	5.475			12.0625
	4.96875			10.275000000000002
	4.91875			10.799999999999999
	5.0562499999999995			10.675
	5.2437499999999995			10.450000000000003
ديسمبر	4.53125			9.637500000000001
	3.1812500000000004			9.581249999999999
	2.3125			9.681250000000002
	2.5124999999999997			9.45
	2.5312499999999996			9.756250000000001
	2.9125			9.9125
	3.24375			9.6625
	2.4687500000000004			10.06875
	3.3062500000000004			10.200000000000001
	2.9812499999999997			10.3
	3.20625			10.299999999999999
	3.2937499999999997			9.275
	2.8562499999999997			9.6375
	1.88125			9.706249999999999
	2.6875			9.4625
	1.6375			9.287500000000001
	1.5733333333333333			9.973333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

36°C

أعلى درجة حرارة

15 يوليو 26

0°C

أدنى درجة حرارة

21 يناير 26

التفصيل الموسمي

أحر شهريوليو33.44°C

أبرد شهريناير5.33°C

أكثر شهر أمطارًاأغسطس13.54mm

أكثر شهر رياحًاأبريل10.6km/h

Dazhou 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 Dazhou تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Dazhou، مع متوسط درجات حرارة قصوى تبلغ حوالي 31°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 39°C في 2022-08-23.

2. ما هو أبرد شهر في Dazhou تاريخيًا?

يناير هو أبرد شهر في Dazhou، مع متوسط درجات حرارة دنيا تبلغ حوالي 3°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -6°C في 2010-12-17.

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

يبلغ متوسط هطول الأمطار السنوي في Dazhou تقريبًا 1612.3mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Dazhou تاريخيًا حوالي 221.8 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 25.1 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Dazhou هي 39°C في 2022-08-23.

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

أدنى درجة حرارة مسجلة على الإطلاق في Dazhou هي -6°C في 2010-12-17.

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

تشهد Dazhou أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 29.2 كم/ساعة في 2025-03-27.

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

عادةً، تبلغ رطوبة Dazhou ذروتها في سبتمبر بحوالي 78.3% وتنخفض إلى أدنى مستوياتها في يناير بحوالي 65.7%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Dazhou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Dazhou 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

Dazhou السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Dazhou 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

Dazhou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا