Fangting السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Fangting رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.43125	6.3		9.325000000000001	10.5
	2.56875	4.3		9.862499999999999	5.9
	2.7625	3.6		9.1875	5.4
	2.625	2		9.206249999999999	11.1
	2.89375	3		9.39375	10.6
	3.2062500000000003	3.4		9.49375	12.6
	2.99375	2.3		8.9875	11.2
	2.68125	2.6		8.6125	11.7
	2.40625	3.3		9.24375	12.5
	2.95625	4.2		8.84375	13.5
	1.9000000000000001	4.6		9.618749999999999	12.3
	1.99375	6.1		9.58125	15.1
	2.49375	5.4		9.924999999999999	13.9
	2.6187500000000004	7.4		9.81875	17.4
يناير	2.9499999999999997	6.9		9.293750000000001	15.8
	3.2	7.2		10.168750000000001	16.5
	2.7624999999999997	7.3		9.73125	16.9
	3.15	8		9.64375	17.4
	2.9124999999999996	7.8		10.075000000000001	13
	2.95625	2.5		10.0625	7.5
	2.85	2		10.237499999999999	4.6
	2.7749999999999995	0.4		9.55	8.7
	2.9375	3.2		9.181250000000002	8
	3.01875	1.4		9.38125	9.8
	2.3125	5.1		9.65	9.3
	2.9312500000000004	3.8		9.312499999999998	13.5
	2.3625	3.8		9.375000000000002	12.1
	1.9000000000000006	8		9.90625	12.3
	2.375	8.4		9.94375	9.8
	3.3	5.3		9.6875	8.1
	3.3750000000000004	3.4		10.075	10.5
	3.18125	3.6		10.4625	12
	4.25	3.5		10.05	13.2
	3.24375	4.9		10.262500000000001	11.9
	3.74375	8.5		11.05	11
	4.393750000000001	5.5		10.681250000000002	15.3
	4.0562499999999995	7.2		11.118750000000002	17.2
	4.19375	8.2		10.975	12.6
	3.175	7.1		10.3125	11.8
	3.1687499999999997	6.1		10.7625	10.7
	3.3124999999999996	3.3		10.637500000000001	14.5
	3.3249999999999997	3.9		10.99375	13.9
	3.8625	6.3		11.1375	16
	3.2500000000000004	9.6		11.04375	17
	3.8937500000000003	7.1		10.78125	16.7
فبراير	3.4687499999999996	9.1		11.506250000000001	16.2
	3.8812500000000005	8.6		11.500000000000002	15.1
	4.15	8.1		12.118749999999999	11.4
	4.6875	8.1		11.9875	16.9
	4.16875	7.9		11.887500000000001	18.2
	4.812500000000001	8.8		11.793749999999998	19.4
	4.7749999999999995	9.4		11.10625	20.8
	4.8187500000000005	11.9		11.6125	22.5
	5.2749999999999995	11.8		11.968750000000002	18
	5.174999999999999	11.2		13.093749999999998	21.9
	5.5375000000000005	9.7		14.05625	20.1
	6.3375	12.4		13.662500000000001	22.1
	6.79375	12.1		13.406249999999998	18.9
	6.5874999999999995	12.2		14.212499999999999	13.9
	6.456249999999999	10.8		15.3125	12.1
	6.768750000000002	9.9		13.7125	13.8
	6.668749999999999	11.2		14.437500000000002	18.7
	7.20625	10.2		14.0375	20.2
	7.4625	12.7		14.799999999999999	19.4
	7.9624999999999995	12.9		14.95625	15.1
	7.31875	11.1		14.787500000000001	13.1
	7.5562499999999995	10.4		16.14375	11.2
	8.275	9.6		16.168750000000003	18
	7.9125000000000005	12.1		15.5	18.1
	8.45	11.3		16.90625	22.6
	8.80625	12.1		16.85625	17.5
	8.749999999999998	10.4		17.425	12.5
	9.106250000000001	8.2		17.88125	10.9
مارس	9.15625	7.4		17.51875	10
	9.787500000000001	7.4		17.68125	12.3
	9.94375	7.7		17.587500000000002	13.1
	10.562499999999998	8.4		18.612499999999997	17
	10.381250000000001	7.1		18.818749999999998	14.1
	9.98125	8.3		18.775000000000002	19.2
	9.906249999999998	11.5		18.15	18.2
	9.587499999999999	10.9		17.05	19.6
	9.375000000000002	11.8		16.86875	14.5
	9.562499999999998	10.7		17.45625	21.9
	9.887500000000001	13.3		17.637499999999996	15.4
	9.962499999999999	11.5		18.693749999999998	21.8
	10.60625	12.9		19.493750000000002	16.3
	10.506249999999998	12.9		19.81875	21
	10.637500000000003	13.2		19.95	17.9
	11.84375	11.9		19.38125	15.5
	12.39375	10.3		18.91875	22.1
	11.4	11.3		19.55	21.4
	11.899999999999999	14.2		20.1375	19.5
	12.181249999999999	12.6		19.75	25.6
	12.131250000000001	13.1		19.76875	25.4
	11.356250000000003	18.3		18.756249999999998	26.4
	11.112499999999997	15.4		18.8125	19.7
	11.106250000000001	14.9		19.24375	19.1
	11.987499999999999	14.2		20.506249999999998	20.7
	12.456249999999999	15.5		21.450000000000006	27.6
	13.15625	16.3		20.987500000000004	19.5
	13.487499999999999	15.5		21.762499999999996	23
	13.168750000000001	15.1		21.68125	22
	12.799999999999999	14.2		20.531250000000004	23.8
	12.73125	14.7		20.71875	24.3
أبريل	12.96875	15.8		22.25	22.1
	13.606249999999998	13.4		23.299999999999997	22.9
	14.562500000000002	13.2		24.4125	25.5
	14.88125	15.5		24.168749999999996	26
	14.874999999999998	16.5		23.206249999999997	21.7
	15.05625	13.9		22.6	18.4
	14.64375	11.8		22.625000000000004	17.6
	14.575000000000003	13.6		22.368750000000002	19.6
	14.681250000000002	14.1		22.36875	24.7
	14.706249999999999	15.8		22.362499999999997	26
	14.543750000000001	16.9		23.056250000000002	29.5
	14.162500000000001	18.5		23.962500000000002	24.8
	15.024999999999997	16.7		25.412499999999998	22.5
	15.43125	13.3		25.66875	16.8
	15.743749999999997	12		26.56875	21.6
	16.131249999999998	14.8		25.656250000000004	20
	15.8625	14.2		25.306250000000002	16.3
	16.1125	14.1		25.187500000000004	16.8
	16.4375	15.5		24.362500000000004	23.2
	16.3	13.3		25.5625	25.9
	16.456249999999997	16.1		24.65625	28.2
	16.2375	20.3		25.343749999999996	22.8
	16.59375	18.7		25.200000000000003	29.3
	16.54375	16.8		24.49375	19.7
	17.01875	15.2		23.843749999999996	26.6
	16.718750000000004	18		25.08125	30.5
	16.756249999999998	20.4		25.906250000000007	28.1
	17.225	18.6		26.54375	30.2
	17.400000000000002	15.4		25.98125	25.4
	17.1875	20.4		25.3875	23
مايو	17.25	17.1		25.424999999999997	19.8
	17.3	16.1		26.36875	26.8
	17.79375	20.1		25.91875	28
	18.325000000000003	20.9		27.618750000000002	29.4
	18.56875	20.4		27.75625	29.5
	19.10625	19.9		27.868750000000006	27.9
	18.65625	22.8		26.068750000000005	28.5
	17.962500000000002	21		24.800000000000004	30.1
	17.63125	22.9		25.487499999999997	28.6
	18.23125	22.9		26.087499999999995	29.5
	18.174999999999997	22.2		25.45	31.1
	18.025000000000002	24.3		25.49375	30.9
	17.86875	22.6		25.83125	26.3
	18.262500000000003	20		25.968749999999996	22.6
	18.375	19.4		25.481250000000003	27.4
	18.39375	19.5		26.625	29.6
	18.96875	22.5		27.143750000000004	28.3
	19.43125	21.9		27.2125	32
	19.49375	20.3		27.200000000000003	29
	19.31875	22.1		26.018749999999997	34.3
	18.849999999999998	24.8		26.293750000000006	35.3
	19.18125	23		27.41875	35.6
	19.556250000000002	22.1		28.76875	34.7
	20.40625	17.6		28.64375	22.1
	20.606249999999996	16.9		28.124999999999996	26.2
	20.343750000000004	16.5		27.343750000000004	29.4
	19.862500000000004	19.2		28.537499999999994	30.6
	20.343750000000004	19.3		28.2625	31
	20.21875	20.7		28.681250000000002	28.2
	20.25625	20.5		28.893749999999997	32.1
	20.625	20.8		28.35625	33.6
يونيو	20.925	22.2		28.862499999999997	27.9
	20.83125	21.8		28.456250000000004	26.8
	20.8	20.2		28.1	25.8
	20.7375	20		28.412499999999998	29.8
	21.431249999999995	20.9		28.250000000000004	33.4
	21.243750000000002	22.2		29.156249999999996	24.4
	21.11875	20.4		28.7375	23.5
	21.475	19.9		28.6625	29.9
	21.35	20.7		28.44375	27
	21.13125	20.3		27.568750000000005	25.7
	20.88125	21		28.5875	23
	21.1	20.4		28.1625	30.5
	21.025000000000002	18.9		28.093750000000004	28.3
	21.1875	20.1		28.481250000000003	30
	21.41875	19.7		28.8125	32.1
	21.775000000000006	21		29.4125	34
	21.712500000000002	20.4		29.76875	32.9
	21.71875	20.9		29.237499999999997	32.4
	21.362499999999997	20.3		28.762500000000003	27.9
	21.206249999999997	21		28.581250000000004	31.3
	21.11875	22.9		28.8875	32.9
	21.756250000000005	24.5		29.112499999999997	34.2
	22.025	24.8		29.599999999999994	36.1
	21.98125	23.5		29.5625	36.8
	21.8	24.8		28.562500000000004	35.7
	21.731249999999996	23.9		28.96875	34.2
	21.462500000000006	23.7		28.14375	31.3
	21.337500000000002	23.3		29.18125	32
	21.681250000000002	23.3		29.375000000000004	33.4
	21.79375	24		29.281249999999996	33.4
يوليو	21.5625	23.9		28.831249999999997	31.1
	21.381249999999998	24		29.481250000000003	32.5
	21.725	23.2		29.174999999999997	31.3
	21.7375	24		29.374999999999996	28.8
	21.55	22.1		29.025	33.7
	21.556250000000002	21.2		29.84375	32.4
	22.268749999999997	22.1		29.849999999999998	34.1
	21.781250000000004	22.9		29.299999999999997	33.3
	21.675	24.4		29.700000000000003	34.9
	21.9375	23.4		29.70625	34
	21.862500000000004	23.4		30.1375	32.3
	22.3625	23.3		30.2875	32.6
	22.562500000000004	22.4		30.85625	29.9
	22.19375	21.2		30.96875	28.6
	22.631249999999998	21.6		30.324999999999992	29.8
	22.356250000000003	21.7		30.5625	26.5
	22.474999999999998	21.9		30.293750000000003	26.1
	22.187500000000004	21.5		30.337500000000002	25.4
	22.337499999999995	19.8		30.225	22.4
	22.331249999999997	19.4		30.41875	30.2
	22.374999999999996	20.3		30.674999999999994	30.4
	22.3875	21.9		30.543749999999996	31.3
	22.75625	21.6		30.818750000000005	30
	22.781249999999996	21.9		30.1	31
	22.4	23		29.724999999999998	32.2
	22.224999999999998	21.8		30.137500000000006	31.4
	22.568749999999998	23.4		30.412499999999998	32.9
	22.43125	23		30.281250000000004	33.8
	22.556250000000002	23.2		30.325000000000003	34.2
	22.637499999999996		23.6	31.0125		33.9
	22.825		22.2	31.03125		32.9
أغسطس	23.00625		23.5	31.575		33.6
	23.0625		21.6	30.237500000000004		26.3
	22.862500000000004		20.1	29.76875		29.7
	22.89375		20.3	29.96875		31.3
	22.462500000000002		21.7	29.887499999999996		30.6
	22.687500000000004		22.4	30.187500000000004		31.4
	22.406249999999996		22.5	29.668750000000006		29.7
	22.337499999999995		22.3	29.656250000000004		29.2
	22.00625		21.8	29.98125		29.9
	22.325000000000003		22.1	29.14375		29.3
	21.36875		21.4	28.4375		28.7
	21.09375		21.1	28.525		28.3
	21.34375		21.4	29.025000000000002		29
	21.837500000000002		21.7	28.418749999999996		28.4
	21.387500000000003		20.9	27.775000000000006		27.4
	20.900000000000006		20.5	27.1375		26.5
	20.531249999999996		20.3	26.874999999999996		26.8
	20.268749999999997		20.4	26.35		26.8
	20.487499999999997		20.5	27.043750000000006		27.5
	20.575		20.5	27.48125		27.3
	20.46875		20.5	27.331249999999997		27
	20.237499999999997		20	26.606249999999996		26.1
	19.793749999999996		19.8	26.206249999999997		27
	19.818749999999998		20	26.825		26.9
	19.968749999999996		20.3	26.487499999999994		27
	20.062499999999996		20.1	26.425		26.4
	20.175000000000004		20.1	26.631250000000005		26.7
	20.106249999999996		20	26.281250000000004		26.3
	20.125		19.7	27.256249999999998		26.5
	19.381249999999998			25.43125
	19.20625			24.45
سبتمبر	19.287499999999998			24.91875
	19.50625			24.712500000000002
	19.031250000000004			24.281250000000004
	18.9625			24.193749999999998
	18.8875			24.675
	18.84375			24.962500000000002
	18.5125			23.993750000000002
	18.1			23.612499999999997
	18.36875			22.981249999999996
	17.94375			23.274999999999995
	17.662499999999998			23.2625
	17.925			22.431250000000002
	17.581249999999997			22.25625
	17.718749999999996			24.13125000000001
	18.1			24.262500000000003
	18.087500000000006			23.725000000000005
	17.89375			23.250000000000004
	18.025000000000002			23.118750000000002
	17.15625			22.087500000000006
	16.575			21.93125
	16.31875			20.837500000000002
	15.743750000000002			20.21875
	15.9			21.1875
	16.21875			21.018750000000004
	16.118750000000002			20.95625
	15.487499999999999			20.3875
	15.275			20.19375
	14.956249999999999			19.162499999999998
	14.849999999999996			19.131249999999998
	14.50625			20.0625
أكتوبر	14.893749999999999			19.75
	14.774999999999997			19.7625
	14.831249999999997			19.762500000000003
	14.618749999999999			20.318749999999998
	14.6625			19.593749999999996
	14.95625			19.299999999999997
	14.787500000000001			19.90625
	14.6875			19.456249999999997
	14.66875			19.65
	13.881250000000001			18.66875
	13.74375			18.787499999999998
	13.75625			18.2125
	13.025			18.31875
	12.5875			18.09375
	12.7375			18.55625
	12.89375			18.393749999999997
	12.8625			17.50625
	12.518749999999999			18.54375
	13.08125			17.918749999999996
	12.81875			18.45
	12.374999999999998			16.86875
	11.781249999999998			17.34375
	11.724999999999998			17.056250000000002
	11.537500000000001			16.756249999999998
	11.38125			17.081249999999997
	11.593749999999998			17.14375
	11.5			16.568749999999998
	11.04375			16.343750000000004
	10.4625			15.075000000000001
	9.981250000000001			15.318749999999998
	10.331249999999999			15.306250000000002
نوفمبر	10.175			16.0875
	10.48125			15.575
	9.6375			15.6375
	9.518749999999999			15.200000000000003
	9.124999999999998			14.7625
	9.606249999999998			14.906250000000002
	9.63125			15.2
	9.399999999999999			15.375
	8.399999999999999			14.181249999999999
	7.6937500000000005			13.59375
	7.4750000000000005			13.325000000000001
	7.400000000000001			13.400000000000002
	7.687499999999999			13.987499999999999
	7.7125			13.793750000000001
	7.606249999999999			13.500000000000002
	6.81875			13.1625
	6.7			12.66875
	6.393750000000001			12.700000000000001
	6.531250000000001			12.84375
	6.700000000000001			12.499999999999996
	6.168749999999999			12.05625
	6.6312500000000005			12.387499999999998
	5.862500000000001			11.76875
	6.34375			12.04375
	5.387499999999999			11.7375
	6.05625			11.218750000000002
	5.706249999999999			11.587499999999999
	4.875			10.59375
	5.331250000000001			10.7875
	4.8125			10.44375
ديسمبر	4.13125			10.306249999999999
	3.618749999999999			9.93125
	2.95			9.5375
	2.7125			9.549999999999999
	2.8687500000000004			9.575000000000001
	2.9875000000000003			9.606250000000001
	3.4625			10.10625
	3.35625			10.412500000000001
	3.4625000000000004			10.15625
	3.425			10.131249999999998
	3.4937500000000004			9.71875
	3.1624999999999996			10.162499999999998
	2.9124999999999996			9.687500000000002
	3.2562500000000005			9.3375
	2.56875			9.64375
	2.6624999999999996			9.2125
	2.22			9.146666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

37°C

أعلى درجة حرارة

8 يوليو 26

0°C

أدنى درجة حرارة

22 يناير 26

التفصيل الموسمي

أحر شهريوليو32.14°C

أبرد شهريناير4.61°C

أكثر شهر أمطارًايوليو9.34mm

أكثر شهر رياحًامايو14.85km/h

Fangting 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 Fangting تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Fangting، مع متوسط درجات حرارة قصوى تبلغ حوالي 30°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 37°C في 2022-08-23.

2. ما هو أبرد شهر في Fangting تاريخيًا?

يناير هو أبرد شهر في Fangting، مع متوسط درجات حرارة دنيا تبلغ حوالي 3°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -5°C في 2011-01-20.

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

يبلغ متوسط هطول الأمطار السنوي في Fangting تقريبًا 1053.5mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Fangting تاريخيًا حوالي 215 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 24.4 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Fangting هي 37°C في 2022-08-23.

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

أدنى درجة حرارة مسجلة على الإطلاق في Fangting هي -5°C في 2011-01-20.

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

تشهد Fangting أقوى رياحها خلال مايو. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 36 كم/ساعة في 2026-04-16.

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

عادةً، تبلغ رطوبة Fangting ذروتها في يوليو بحوالي 73.8% وتنخفض إلى أدنى مستوياتها في مايو بحوالي 57.4%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Fangting السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Fangting رسم بياني لاتجاهات الطقس

الملخص السنوي 2026

التفصيل الموسمي

Frequently Asked Questions

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Fangting السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Fangting 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

Fangting السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا