Weichanglu Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Weichanglu Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.8312500000000003	-3.8		3.9875000000000003	0.1
	-3.2374999999999994	-3.5		2.8062500000000004	-0.5
	-3.1187500000000004	-3.3		2.7	2.7
	-2.7750000000000004	-0.7		3.1312499999999996	4
	-2.9062499999999996	-0.9		2.3625000000000003	3.8
	-3.2125000000000004	-1.1		1.9375	4.3
	-3.3562499999999997	-2.2		1.7062500000000003	2.4
	-3.3062499999999995	-2.8		1.725	3.8
	-3.7625	-1.1		1.11875	6.9
	-4.231250000000001	-1.7		1.7437499999999997	3.3
	-3.8874999999999997	-5		1.4937500000000004	-2.1
	-3.900000000000001	-4.9		2.6937499999999996	4.7
	-3.4499999999999993	-1.8		3.14375	1.5
	-3.8187500000000005	-0.7		3.1125000000000007	8
Jan.	-4.125000000000001	0.7		1.4999999999999998	7
	-4.050000000000001	-2.7		1.7000000000000002	4.8
	-3.5875	-5.1		2.5812500000000003	0.5
	-3.1750000000000003	-4.6		3.6062499999999997	-1.1
	-2.5875	-5.3		3.2937499999999997	-3.1
	-3.3125	-6.2		1.9499999999999997	-3.5
	-3.50625	-6.5		2.1375	-3
	-3.94375	-8.8		1.4	-1.7
	-4.80625	-6.4		1.1999999999999997	0.9
	-4.10625	-4.8		1.7874999999999996	2.3
	-4.18125	-3.9		1.7437500000000001	0.5
	-3.9250000000000003	-4.3		2.0562500000000004	2.4
	-3.60625	-4.1		2.3249999999999997	1.3
	-3.79375	-4		2.0125	4.4
	-4.05625	-3.4		2.5437499999999997	1.2
	-3.21875	-3.7		3.5124999999999997	1.8
	-2.89375	-4.1		3.6875	2.6
	-3.7000000000000006	-4		2.1374999999999997	4.6
	-3.7874999999999996	-2.6		1.8687500000000001	1.1
	-3.44375	-2.9		2.275	7.7
	-3.7624999999999997	1.1		2.5187500000000003	10.7
	-3.4375	-4.6		2.4499999999999997	4.8
	-3.95	-7.4		2.58125	-4.5
	-4.3	-8.8		0.9	-2.8
	-3.9124999999999996	-7.2		1.4375	0.2
	-4.025	-3.9		3.1249999999999996	7.5
	-2.9812499999999997	-0.9		3.7562500000000005	7
	-2.10625	-2.2		5.156249999999999	6.5
	-1.7062500000000005	1		5.4875	12.2
	-1.4500000000000002	3.3		6.40625	13.2
	-2.2312499999999997	4.3		5.28125	14.7
Feb.	-2.8625000000000007	0		3.45625	4.4
	-3.0124999999999997	-2.5		3.7750000000000004	2.8
	-2.9812499999999997	-3		3.2562500000000005	7.2
	-1.9187500000000002	-0.5		5.05	5.2
	-1.6124999999999998	0		6.89375	13.8
	-1.7625000000000002	3.9		5.6499999999999995	17.2
	-1.0312500000000002	8.1		6.5874999999999995	20.3
	-1.56875	-0.3		5.29375	9.7
	-2.0875	-2.9		6.349999999999999	4.9
	-0.8999999999999999	0.5		7.15	5.7
	-0.5750000000000001	0.2		7.481250000000001	12.2
	-0.9000000000000002	1.8		7.49375	8.4
	-0.0062500000000000056	-0.3		8.7625	6.2
	1.0375	-0.9		8.4375	9.7
	-0.5250000000000001	3		5.59375	6.5
	-1.48125	1.6		7.862499999999998	3.9
	0.08750000000000015	1.2		9.7	4.6
	1.2187500000000002	0.7		9.606250000000001	9.3
	0.49374999999999997	1.1		8.887500000000001	6
	0.07500000000000005	-1.7		8.225	1.3
	-0.031249999999999983	-3.1		9.04375	5.7
	0.98125	-0.9		9.68125	9.6
	0.6874999999999999	0.2		9.893749999999999	5.4
	1.475	-0.6		11.118749999999999	12.5
	2.21875	3.4		12.3125	10.9
	2.175	1.2		10.200000000000001	7.9
	2.4499999999999997	1.3		11.84375	13.7
	2.48125	2.8		12.256250000000001	9.4
Mar.	1.93125	2.6		11.2625	8.3
	2.5625	2.5		11.987500000000004	11.9
	2.6375	3.5		12.081250000000002	14.7
	3.275000000000001	0.7		11.5625	7.5
	3.35	-0.5		13.175	11.9
	3.1750000000000003	4.9		10.393749999999997	14.5
	2.9499999999999997	5.5		11.4625	17.6
	3.3374999999999995	7.1		13.28125	16.6
	4.3812500000000005	6.1		13.33125	15.2
	4.137499999999999	6.8		13.431249999999999	17.5
	4.1	8		13.425	22
	4.593750000000001	12.1		14.993749999999997	22.5
	4.7749999999999995	10.2		14.793749999999998	18.8
	5.262499999999999	9.3		14.275000000000002	21.5
	4.925	11		14.887499999999998	21.4
	5.60625	7		14.875	16
	6.15625	4.9		16.481250000000003	16.1
	6.124999999999999	5.8		15.725	13.3
	6.081250000000001	5.9		16.075000000000003	21.8
	5.4750000000000005	11.7		15.081250000000002	22.4
	6.01875	4.4		15.925	10.2
	5.706249999999999	7.8		14.006250000000001	16.7
	5.45625	7		14.85625	13
	6.218749999999999	4.8		16.393749999999997	12.1
	7.03125	6		17.51875	18.5
	7.9624999999999995	7.9		18.26875	11.7
	7.650000000000002	7.8		17.993750000000002	16.8
	7.512500000000001	9.9		17.487499999999997	21.3
	6.893750000000001	10.9		16.7	23.9
	7.8875	10.8		17.0375	20.2
	7.950000000000002	11.7		17.61875	22.6
Apr.	8.7125	12.8		19.681250000000002	24
	9.293750000000001	12.7		20.175	23.2
	9.13125	12.2		18.49375	22
	9.237499999999999	12.6		18.381249999999998	26.8
	9.156250000000002	10.9		19.681250000000002	25.2
	9.9125	6.7		20.087500000000002	15.1
	9.662500000000001	8.4		18.725	20.6
	9.09375	10		17.05	19.2
	9.5875	11.4		19.4	22.4
	10.03125	11.9		19.15625	26
	10.062500000000002	12.9		19.275	25.9
	10.137500000000001	12		19.4	25.1
	9.76875	9.4		19.25625	19.1
	10.325000000000001	8.9		20.468750000000004	15.9
	11.25625	8.8		21.268749999999997	20.2
	11.91875	9.5		22.106249999999996	22.4
	11.78125	12.3		22.75	24.9
	12.937499999999998	13		23.2	21.2
	12.44375	9.1		22.6	14.9
	12.91875	8.2		22.65625	21.8
	12.4	11.5		22.45	27.8
	12.568750000000001	15.7		21.668750000000003	28.8
	12.674999999999999	11.6		22.243750000000002	16.2
	12.65	10.3		21.937500000000004	22.3
	12.081249999999999	13.3		20.55625	26.8
	12.037500000000001	15.5		21.787499999999998	28.3
	12.48125	15.9		22.4125	23.2
	13.44375	14.8		24.000000000000004	28.6
	14.4625	15.8		24.0875	31.8
	13.781249999999998	15.1		24.768750000000004	29.6
May	14.212499999999999	14.9		24.73125	28
	14.237499999999999	13.2		23.918750000000003	27.8
	14.43125	15.7		25.193749999999998	26.5
	15.6375	17.5		25.375000000000007	21.1
	15.281249999999998	16.6		26.574999999999996	19.5
	15.80625	14.9		25.418749999999996	16.8
	15.062500000000002	13.9		25.775	20.5
	15.950000000000001	15.1		26.4625	24.2
	15.975	16.1		26.4375	27.7
	15.681249999999997	16.5		26.856250000000003	26.3
	15.71875	17.1		25.625000000000004	24.7
	16.068749999999998	17.4		26.84375	19.5
	16.6	17.5		26.287499999999998	20.5
	17.48125	17.4		27.6	23.6
	17.50625	16.9		28.237500000000004	28.9
	17.69375	18.9		27.6	32.8
	17.625000000000004	21		28.018749999999997	31.6
	17.4625	20.1		27.14375	31.1
	17.06875	17.1		27.825000000000006	31.6
	17.650000000000002	19		27.949999999999996	28.6
	17.675	15.4		28.5625	22.2
	18.131249999999998	14.9		29.30625	24.8
	18.393749999999997	16		28.868750000000006	22.9
	18.675000000000004	16.2		28.793750000000003	21.1
	18.893750000000004	15.6		29.325	28.4
	19.03125	17.5		28.80625	26.8
	18.75	16.2		27.0375	23.5
	18.15625	17.2		27.381249999999994	26.8
	18.76875	18.6		28.968749999999996	32.8
	19.00625	19.4		28.768750000000004	33.4
	18.825	19.5		29.21875	27.4
Jun.	19.231249999999996	17.9		28.887500000000003	29.6
	19.55625	18.4		29.293750000000003	30.9
	20.025	19.8		29.731249999999996	31.8
	20.218750000000004	22		30.543749999999996	32.8
	20.287499999999998	20.7		29.2	27.4
	20.087500000000002	19.7		28.98125	27.7
	20.643749999999997	19.5		30.90625	27.7
	21.099999999999998	20.2		30.462500000000002	29.8
	20.825	18.5		29.5	31
	20.65	19.9		29.337500000000002	30.8
	20.075	18.3		28.2625	26.8
	20.268749999999997	18.2		28.181250000000002	28.7
	20.799999999999997	19.7		29.468749999999996	32.5
	21.325	20.6		30.587499999999995	34.4
	21.21875	20.8		30.162499999999998	31.8
	21.312500000000007	20.8		29.875000000000004	31.1
	21.6625	20.7		30.531249999999996	23.9
	21.762499999999996	20.8		29.88125	31.7
	21.387500000000003	24.3		29.44375	31.6
	22.018749999999997	22.3		30.875	33.5
	22.5125	22.6		31.5125	35.3
	22.256249999999998	21		29.58125	31.7
	22.28125	21.1		30.1875	24.5
	22.406249999999996	20.2		31.3625	33.7
	23.093750000000004	21.5		30.393750000000008	35.3
	22.91875	23.9		30.125000000000004	32.4
	22.731250000000003	24.8		30.725	33.5
	23.15	23.7		30.74375	30
	22.931250000000002	24.8		30.2125	28.5
	23.237500000000004	21.6		31.000000000000004	26.1
Jul.	22.8375	21.8		30.30625	25.5
	22.662499999999998	22.9		29.456249999999997	31.9
	22.75625	19.9		30.431250000000002	24.8
	22.456249999999997	21.2		30.0375	28.4
	22.89375	22.2		30.2875	31.2
	23.175	21.4		30.174999999999997	30.4
	23.15625	21.1		31.100000000000005	32.5
	23.900000000000002	23.1		31.381249999999998	33.1
	23.650000000000002	21.8		30.512500000000003	31.7
	23.643750000000004	23.6		30.981250000000003	32
	23.768749999999997	23.8		31.531250000000007	33.8
	23.781250000000004	23.7		31.94375	32.8
	23.83125	24.8		31.056250000000002	33.2
	23.69375	24.6		30.75	34.4
	23.862499999999997	23.9		31.124999999999993	34.9
	24.14375	25.6		30.374999999999996	34.5
	24.55625	26.3		31.80625	34.9
	24.237500000000004	27.2		30.906249999999993	35.7
	24.35	26.9		30.6375	36.1
	24.268750000000004	26.1		30.962499999999995	36.2
	24.2625	24.5		31.268749999999997	35.9
	24.356249999999996	23.4		30.85625	34.3
	24.13125	24.6		30.456249999999997	34.4
	24.10625	25.3		30.162499999999998	33.6
	23.687499999999993	22		30.0375	27.1
	23.243750000000002	22.2		29.618750000000002	30
	23.275	23.8		29.693749999999998	32.4
	23.8625	24.8		30.331249999999997	30.7
	23.65625		23.4	30.75		31.9
	23.281250000000004		22.7	29.5625		25.6
	23.481250000000003		21.8	29.862499999999997		29.7
Aug.	23.14375		22.3	29.562500000000004		26.6
	22.6875		21.6	29.45625		29.5
	22.4875		22.4	29.556250000000002		30.5
	22.212500000000002		22.5	29.437500000000007		34.6
	22.80625		22	29.512500000000003		32.9
	22.475		22.2	28.806250000000006		28.4
	21.8875		21.7	28.987499999999994		28.9
	21.96875		21.7	28.63125		28.6
	21.8375		21.7	28.068749999999998		28.5
	21.3		21.5	28.037499999999998		28.3
	21.26875		21.2	27.89375		27.7
	21.24375		21.1	28.349999999999998		27.6
	20.94375		20.9	26.668750000000003		27.1
	20.693750000000005		20.5	26.9375		26.7
	20.575		20.5	26.21875		26.3
	20.20625		20	26.818749999999998		26.8
	19.8375		19.9	27.231249999999996		27.3
	20.037499999999998		19.8	27.512500000000003		27.6
	20.156249999999996		19.7	27.331250000000008		26.8
	19.81875		19.6	26.8875		26.5
	19.61875		19.5	26.425		26.9
	19.312500000000004		19.8	27.25625		27.6
	19.775000000000002		19.7	27.012499999999996		26.8
	19.312500000000004		19	26.8375		25.8
	19.368750000000002		19.3	27.093749999999996		27.4
	19.36875		19.4	27.16875		27.2
	19.34375		19	27.187499999999996		27.1
	18.9125		18.8	27.031250000000007		26.3
	19.26875			25.912499999999998
	18.837500000000002			26.612500000000004
	19.29375			26.362499999999997
Sep.	19.025			25.868750000000006
	18.462500000000002			25.6125
	18.187500000000004			25.193749999999998
	18.20625			25.31875
	17.7			24.162499999999994
	17.575			24.84375
	17.037499999999998			25.112499999999997
	16.9875			24.393750000000008
	16.71875			24.10625
	16.8625			24.2625
	16.762500000000003			24.049999999999997
	16.824999999999996			24.787499999999998
	16.96875			24.293749999999996
	16.8375			23.0375
	16.0625			23.69375
	15.737500000000002			23.69375
	15.9375			22.9375
	15.012499999999998			22.50625
	14.931249999999999			21.84375
	14.137500000000001			21.600000000000005
	13.943750000000003			20.86875
	14.093750000000002			20.4375
	14.206249999999999			21.468749999999996
	14.156249999999998			21.35
	13.749999999999998			21.343749999999996
	13.774999999999999			19.893749999999997
	13.2125			19.9
	12.662500000000003			20.05
	13.006250000000001			20.837500000000002
	13.187499999999998			20.20625
Oct.	12.69375			19.993750000000002
	12.65			19.46875
	11.6			18.80625
	11.99375			18.96875
	11.78125			19.050000000000004
	11.4			18.2375
	11.556249999999999			18.54375
	11.743749999999999			18.718749999999996
	11.187500000000002			17.9875
	10.475000000000003			17.65625
	10.837499999999997			18.09375
	10.256250000000001			16.475
	9.8875			17.00625
	10.325000000000001			17.175
	9.825			16.30625
	9.818750000000001			17.1375
	9.731250000000001			17.437500000000004
	9.625			16.362500000000004
	9.2			16.78125
	8.56875			15.781250000000002
	9.0375			16.618750000000002
	8.6			15.781249999999998
	8.624999999999998			14.943750000000001
	8.05			14.212500000000002
	6.962500000000001			13.131250000000001
	7.35			13.475
	7.131250000000001			13.168750000000001
	7.5874999999999995			13.693750000000001
	6.7437499999999995			13.75625
	6.7375			13.225
	6.31875			13.21875
Nov.	6.424999999999999			13.237499999999999
	6.143750000000001			12.450000000000001
	5.95			12.45
	5.124999999999998			11.46875
	5.331250000000001			11.2625
	4.2124999999999995			11.83125
	5.050000000000001			11.881249999999998
	4.987500000000001			10.65625
	3.6687499999999997			9.118749999999999
	2.55625			7.9312499999999995
	1.7375			8.806249999999999
	2.0375			8.75
	2.19375			8.4375
	2.3375000000000004			8.1625
	1.9000000000000001			7.5625
	1.0375			6.7875
	0.9312499999999999			6.7562500000000005
	0.83125			6.675000000000001
	0.7562499999999999			6.856249999999999
	0.58125			6.862499999999999
	0.9937499999999999			6.98125
	0.0625			5.925
	0.09375			6.374999999999999
	0.475			6.268750000000001
	0.5249999999999999			6.59375
	0.2375			5.43125
	-0.5687500000000001			3.95625
	-1.14375			4.393749999999999
	-1.18125			4.556250000000001
	-1.16875			4.268750000000001
Dec.	-1.23125			3.44375
	-1.6937499999999999			2.3437500000000004
	-2.48125			2.71875
	-2.1625			4.13125
	-1.8499999999999999			4.3812500000000005
	-1.78125			4.10625
	-1.5499999999999998			4.5375000000000005
	-0.9500000000000001			4.2375
	-2.00625			3.2687499999999994
	-2.7937499999999997			1.975
	-3.2312499999999997			2.4687499999999996
	-3.29375			2.4562500000000003
	-3.1625000000000005			3.0375000000000005
	-2.1624999999999996			3.1500000000000004
	-2.0624999999999996			3.9187499999999997
	-3.29375			2.79375
	-3.013333333333333			1.5199999999999998

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

36°C

Highest Temp

3 Aug. 26

-9°C

Lowest Temp

22 Jan. 26

Seasonal Breakdown

Hottest MonthAugust33.31°C

Coldest MonthJanuary-3.57°C

Wettest MonthJuly6.27mm

Windiest MonthMay25.46km/h

Weichanglu Climate Change InsightsSee how climate patterns are evolving over time. Temperature shifts, rainfall trends, and extreme events—all in one place.

Weather City Ranking GloballyExplore Real time of the world’s hottest & Coldest Cities based on current temperature data.

Frequently Asked Questions

1. What is the hottest month in Weichanglu historically?

July is historically Weichanglu's hottest month, with average maximum temperatures around 31°C. During peak heatwave events, the highest recorded temperatures have reached 38°C on 2025-07-05.

2. What is the coldest month in Weichanglu historically?

January is Weichanglu's coldest month, with average minimum temperatures around -3°C. The all-time record low of -13°C was recorded on 2016-01-23.

3. What is the average annual rainfall in Weichanglu over the past 17 years?

Weichanglu's average annual rainfall is approximately 687.9mm, based on records spanning 17 years.

4. How many rainy days does Weichanglu experience on average per year?

Weichanglu historically records approximately 110.8 rainy days per year. July has the highest number of rain days at an average of 19.1 days.

5. What is the all-time highest temperature ever recorded in Weichanglu?

The all-time highest temperature recorded in Weichanglu is 38°C on 2025-07-05.

6. What is the all-time lowest temperature ever recorded in Weichanglu?

The all-time lowest temperature recorded in Weichanglu is -13°C on 2016-01-23.

7. What is the windiest time of year in Weichanglu historically?

Weichanglu experiences its strongest winds during April. The historic gust record of 49.4 kph was recorded on 2012-11-11.

8. What is the highest and lowest humidity in Weichanglu during a year?

Usually, Weichanglu's humidity peaks in August at around 79.4% and drops to its lowest in March at approximately 51.2%.

Recent Blogs On Weather

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Weichanglu Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Weichanglu Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

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Weichanglu Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Weichanglu Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

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

Weichanglu Historic Weather Records
Analyse hottest, coldest, windiest & wettest days