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

Gaobeidian Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-7.0375000000000005	-7.8		2.1750000000000003	1
	-6.643749999999999	-7.1		1.94375	2.8
	-6.81875	-3.7		1.9812500000000002	4
	-6.8999999999999995	-1		1.9062499999999998	5
	-6.9312499999999995	-4		1.4874999999999998	5.1
	-7.531249999999999	-3.5		1.525	5.5
	-6.98125	-2.5		1.3375000000000001	2.9
	-6.9125	-3.3		1.6812500000000001	4.8
	-7.175000000000002	-2.9		1.8125	7.9
	-7.406249999999999	-5.2		2.04375	0.5
	-6.774999999999999	-8		1.48125	-1
	-7.362500000000001	-6.3		2.025	5.5
	-6.38125	-5.9		2.95	3
	-6.45	-4.3		1.8875000000000002	0.5
Jan.	-6.91875	-1.6		1.2999999999999998	6.9
	-7.15625	-4.5		1.6812500000000001	3.6
	-6.6937500000000005	-6.6		2.4937500000000004	-1.9
	-6.331250000000001	-8.2		2.8812499999999996	-4.3
	-5.85	-9		2.4375	-3.3
	-6.1312500000000005	-12.9		1.5062499999999996	-5.1
	-6.625000000000002	-12.7		1.5875	-3
	-7.418750000000001	-12		1.2125000000000001	-2.5
	-8.1125	-9.3		1.0875000000000001	0.6
	-7.574999999999999	-6.5		1.7812500000000002	1.7
	-6.737500000000001	-6.3		2.36875	-0.2
	-6.875	-6.1		2.19375	2.8
	-6.35625	-6.2		2.2875	0.6
	-6.318749999999999	-4.8		2.0500000000000003	1.9
	-6.575	-5.9		3.0875	0.3
	-5.781249999999999	-3		2.7875	0.6
	-5.94375	-4.7		3.5187500000000003	3.9
	-5.6499999999999995	-2.8		3.025	7
	-6.0562499999999995	-4.9		2.975	5.4
	-5.6312500000000005	-1.9		3.95	7.1
	-5.625	-0.3		3.5812500000000003	10.8
	-5.062500000000002	-4.1		3.58125	4.7
	-5.106250000000001	-8.1		3.6062499999999997	-3.6
	-6.00625	-8.2		2.3625	1.5
	-6.2437499999999995	-7.4		3.1437500000000003	4.1
	-5.99375	-3.3		4.01875	4.3
	-5.66875	-1.8		4.48125	8.8
	-4.687499999999999	-1.4		5.3125	9.2
	-4.23125	0.1		4.974999999999999	12
	-4.043749999999999	2.9		6.000000000000001	14.6
	-4.012500000000001	4		4.762499999999999	15.6
Feb.	-5.0375000000000005	0.3		4.6	6.2
	-4.51875	-3.7		5.6	6.8
	-4.0125	-2.1		5.187500000000001	10.1
	-3.2125	0.5		6.3187500000000005	10.9
	-3.0624999999999996	0.7		7.612500000000001	14.4
	-3.0000000000000004	3.4		6.687499999999999	16.3
	-2.99375	4.5		7.324999999999999	21.7
	-3.3687500000000004	0.6		7.418749999999999	7.6
	-3.00625	-3.2		7.318750000000001	5.1
	-2.31875	-2.6		8.20625	8.5
	-2.05	4.6		8.25625	7.8
	-1.8624999999999998	1.5		8.91875	6.5
	-1.7500000000000002	-1		8.893749999999999	6.8
	-0.9124999999999999	0.3		9.5625	4.8
	-1.75625	-1.1		8.325000000000001	6.1
	-2.1374999999999997	0.4		10.174999999999999	6.1
	-0.7499999999999998	1.4		11.118749999999999	9.8
	-0.3499999999999999	-1.4		10.60625	5.1
	-0.8500000000000002	-2.2		10.43125	3
	-1.1875000000000002	-3.1		9.675	7
	-1.68125	-0.7		11.2875	10.2
	-0.3562499999999998	1.3		12.568750000000001	12.1
	-0.36250000000000016	1.7		11.9875	11.4
	0.04999999999999999	3		13.318750000000001	12.2
	0.96875	4.3		12.981249999999998	14.8
	0.925	1.9		12.806249999999999	14.7
	0.8187500000000001	3.6		14.01875	12.9
	1.5812499999999998	5.2		14.018749999999999	11.4
Mar.	0.78125	2.5		14.41875	14.2
	1.5687500000000003	5		13.881250000000001	14.1
	2.5875	4.9		14.0375	14.2
	2.5437499999999997	2.9		14.71875	12.7
	2.1874999999999996	2.5		15.618750000000002	16.1
	2.7125	6.2		14.9625	15.5
	2.23125	3.1		15.881250000000001	18.4
	3.1187499999999995	9.8		16.06875	21.3
	3.2125	10.2		15.962499999999999	19.1
	4.0874999999999995	9.3		16.04375	21.6
	2.90625	11		17.06875	26.3
	4.21875	13		17.8625	25.4
	4.65	10.7		18.581250000000004	19.6
	4.975	9.5		17.931250000000002	22.6
	4.59375	11.1		17.981250000000003	23.7
	5.981249999999999	7.7		18.45	15
	6.2625	8.3		19.3625	21.3
	6.000000000000001	9.1		19.112499999999997	17.4
	6.225	6.2		18.1	21.5
	5.71875	12.4		18.5375	24.6
	6.043749999999999	6.9		19.293750000000003	19.5
	6.16875	10.2		18.712500000000002	19.2
	5.3875	4.6		18.66875	18.5
	5.562499999999999	3.8		20.6875	16
	6.468749999999999	5.7		20.456249999999997	22.6
	7.637499999999999	9.8		20.974999999999998	11.8
	7.606249999999999	7.8		20.91875	27.4
	8.13125	11.7		19.68125	26.6
	6.81875	10.6		19.9875	25.5
	7.650000000000001	14		20.812500000000004	19.9
	8.1375	11.7		23.712500000000002	22.8
Apr.	9.125000000000002	11.1		23.606249999999996	26.4
	9.1	12.2		23.043749999999996	21.8
	9.068750000000001	10.3		22.424999999999997	26.4
	9.3375	14.1		23	30.4
	9.46875	10.7		22.5375	24.6
	9.987499999999999	5.4		22.525	22.8
	10.05625	10.6		20.66875	25.3
	8.71875	8.9		21.256249999999998	23.8
	9.5625	10.7		23.193749999999994	26.4
	9.656249999999998	11.7		23.1875	26.6
	9.912500000000001	13.6		23.475	28.7
	10.18125	13.5		23.537499999999994	23.7
	10.4	12.1		22.724999999999998	23.6
	10.624999999999998	10.3		23.54375	22.1
	10.68125	11.1		25.66875	24.7
	12.1375	11.8		25.025	29.3
	11.625	15.4		27.63125	27.9
	13.11875	10.9		27.512500000000003	24.3
	13.0375	9.2		27.075	23.3
	12.881250000000001	10		25.90625	28.1
	12.9625	13.2		26.09375	33.6
	12.4875	18.4		25.887499999999996	29.6
	13.006250000000001	13.5		26.818749999999994	24.6
	13.40625	11.6		25.06875	28.6
	12.568750000000001	13.2		24.25	30
	12.768749999999997	16.2		25.181249999999995	33.3
	12.987499999999995	17.2		26.9875	31.7
	13.225000000000001	16.3		27.262500000000003	36
	13.512500000000003	20.6		27.6125	37.6
	14.0875	21.5		28.16875	37.5
May	14.968749999999996	18.6		27.699999999999996	35.1
	14.774999999999999	17.4		28.418749999999996	29.2
	15.224999999999998	17.3		28.375	18
	15.81875	16.3		29.5625	26.8
	15.9625	15.4		29.925	25.5
	16.20625	16.2		29.275	23.3
	16.36875	14.8		29.09375	26.9
	15.931249999999999	16.3		29.312499999999993	20.7
	16.11875	15.8		30.881249999999998	27.8
	16.93125	18.7		30.4125	30.4
	16.900000000000002	17.4		30.6	19.9
	16.6875	16		29.11875	27.2
	16.1625	17.1		30.150000000000006	28.3
	17.1875	19.4		32.112500000000004	30.5
	17.76875	19.1		32.08125	34
	18.2	20.2		31.712500000000002	39.4
	18.037499999999998	22.4		31.15	34.2
	18.031249999999996	20.5		31.01875	36.1
	17.881250000000005	21.6		31.1875	38.6
	17.993750000000006	19.2		32.14375	30.3
	18.71875	16.9		31.46875	26.7
	18.8875	14.9		33.762499999999996	27.3
	19.625	12.8		31.418750000000003	16.7
	19.175	11.9		32.04375	27.2
	18.787499999999998	15.6		31.774999999999995	29.7
	19.112500000000004	17		31.593749999999996	26.3
	19.38125	16.4		31.6	27.6
	18.75	16		32.45	31.2
	19.575	21.2		33.11875	34.9
	20.35625	19.4		32.050000000000004	31
	20.106249999999996	18.4		32.53750000000001	31.3
Jun.	20.643749999999997	21		33.11875	32.9
	20.59375	20.7		32.375	33.4
	20.73125	20.1		33.5	32.4
	21.60625	23.8		34.287499999999994	34.8
	21.26875	23.2		33.14375	26.4
	21.306250000000002	20.6		34.868750000000006	31.1
	22.625	18.2		34.818749999999994	29
	22.1625	18.5		32.71875	32.8
	21.80625	20.2		34.25	32.5
	22.25	20.2		33.35	32.2
	21.93125	19.3		33.625	33
	21.618750000000002	22.1		33.69375	34.7
	21.98125	20.9		34.25	37.7
	22.868750000000002	21.6		33.775000000000006	33.8
	21.84375	21.2		32.88125	28
	22.16875	20.7		33.2125	28.7
	22.256249999999998	21.3		33.28125	30.8
	22.099999999999994	22.7		32.868750000000006	35.2
	22.125000000000004	23.7		32.59375	38.1
	22.51875	24		33.45	37.9
	22.325	21.4		33.41875	34.5
	22.41875	20.7		32.8375	35.2
	22.456249999999997	21.8		33.13125	34.8
	22.7125	21.3		33.94999999999999	36.1
	23.11875	23		32.875	35.2
	22.674999999999997	24.8		32.40625	30.4
	22.25	24.1		32.875	27.6
	22.931250000000002	24.8		32.98125	29.5
	22.881249999999998	25.3		32.4625	32.9
	22.912499999999998	23.5		33.525	33
Jul.	22.775	22.9		31.981249999999996	34.9
	22.29375	25.1		32.63125	33
	22.125	23.9		32.181250000000006	31.8
	22.4375	21.6		32.512499999999996	31.4
	22.7375	20.6		32.55625	33.9
	22.906250000000004	19.9		32.20625	35.1
	22.58125	20.3		32.368750000000006	31.5
	23.2625	23.1		31.45625	28.9
	23.075	22.5		33.21249999999999	29.5
	23.175000000000004	22.7		33.59375	31.8
	23.443749999999998	23.2		33.725	32.4
	23.531250000000004	24		32.61875	32.8
	23.500000000000004	24.4		31.924999999999994	34.5
	23.25	25.4		32.043749999999996	35.3
	23.312500000000004	24.7		31.50625	35.1
	22.79375	26		32.537499999999994	34.2
	23.043750000000003	25.7		32.03750000000001	32.5
	23.275000000000006	25.9		31.59375	35.3
	23.231249999999996	26.4		31.843750000000004	35.1
	22.993750000000002	24.6		32.6125	34.3
	23.274999999999995	23.7		31.99375	33.6
	23.06875	23.8		32.6	34.7
	22.775000000000002	25.7		31.65	36.6
	22.68125	24.4		31.912499999999998	36
	22.162499999999998	22.8		30.674999999999997	30
	21.7375	21.3		31.412499999999998	30.7
	22.2125	20		31.968749999999996	32.7
	22.21875		22.8	31.4625		33.7
	22.181250000000002		22.2	31.675000000000004		24.3
	22.143749999999997		21.7	30.000000000000007		26.4
	21.90625		21.1	30.96875		30.2
Aug.	21.60625		22.3	31.049999999999997		30.7
	21.025000000000002		20.3	30.718749999999993		29.5
	21.1125		21.8	30.662499999999998		32.2
	21.30625		20.8	29.35625		24.2
	21.025		19.4	28.8625		29.3
	20.575		20.4	29.63125		29.8
	20.518750000000004		20.3	29.662499999999998		29.8
	20.212500000000006		20.1	29.781250000000004		29.6
	19.56875		19.6	29.96875		30.1
	19.83125		19.7	29.293750000000003		29.3
	19.187500000000004		19	30.06875		29.4
	18.78125		18.9	29.7		29.5
	18.5875		18.5	28.506249999999998		28.9
	18.518749999999997		18.5	28.5375		28.5
	18.162499999999998		18.2	28.737499999999994		28.6
	18.61875		18.6	28.78125		28.6
	18.90625		18.8	29.349999999999998		29
	19.025000000000002		18.5	28.831249999999997		28.6
	18.687499999999996		18.3	28.856249999999996		28.3
	18.43125		18	28.612499999999997		28.6
	17.88125		18	28.262500000000003		28.3
	17.962500000000002		18	28.381249999999998		28.5
	17.4		17.5	28.781249999999996		28.1
	17.687499999999996		17.5	28.80625		28.1
	17.856250000000003		17.5	28.525		28.4
	17.59375		17.2	28.1375		28.2
	17.037499999999998		17	27.19375		26.5
	16.8625			27.24375
	17.15625			26.63125
	16.812500000000004			27.60625
	17.175			28.087500000000002
Sep.	16.46875			26.718749999999996
	16.1125			26.46875
	15.431250000000002			25.806249999999995
	15.568749999999998			25.887499999999996
	14.818749999999998			24.968749999999996
	15.0125			26.543750000000003
	14.64375			26.49374999999999
	14.6875			26.181249999999995
	14.087500000000002			24.95
	13.95			24.818749999999994
	14.3			25.68125
	14.9125			25.9125
	14.718749999999998			25.09375
	14.331250000000002			24.568749999999998
	13.656250000000002			24.73125
	12.874999999999998			24.08125
	13.3875			23.8125
	12.99375			23.7375
	12.1			23.150000000000006
	11.75625			23.28125
	10.78125			21.54375
	10.50625			21.343750000000004
	11.468750000000002			22.093750000000004
	11.48125			20.86875
	10.987499999999997			20.337500000000006
	10.181249999999999			19.63125
	8.956249999999999			20.475
	9.918750000000001			19.987500000000004
	9.924999999999997			20.33125
	9.8875			20.056250000000002
Oct.	9.556249999999999			20.499999999999996
	9.362499999999999			19.06875
	8.506250000000001			18.53125
	7.8999999999999995			18.043749999999996
	8.34375			18.75625
	7.906250000000001			18.10625
	7.912499999999999			17.837500000000002
	7.9375			17.25625
	7.3125			17.8875
	6.225			18.0875
	6.862499999999999			18.049999999999997
	7.112500000000001			17.5625
	6.2250000000000005			17.36875
	6.518750000000002			16.71875
	6			17.0875
	6.062499999999999			17.2
	6.15			17.1125
	6.325			16.4875
	6.04375			15.981250000000001
	5.981249999999999			15.64375
	4.9125			15.58125
	4.856249999999999			14.28125
	3.875			13.387500000000001
	2.8125000000000004			12.38125
	2.7625000000000006			13.1875
	2.4749999999999996			13.1875
	2.3937500000000003			12.793750000000001
	3.0749999999999997			12.362499999999999
	2.34375			12.3
	1.86875			12.137499999999998
	1.5812499999999998			11.768749999999999
Nov.	1.7499999999999998			11.500000000000002
	1.3375000000000001			10.6
	1.1187500000000001			11.03125
	0.8500000000000001			10.131250000000001
	0.9624999999999999			9.662500000000001
	0.8562500000000001			10.037500000000001
	0.5562499999999999			9.406249999999998
	-0.4187499999999997			9.08125
	-1.6375000000000002			7.8500000000000005
	-2.68125			6.56875
	-2.4125			6.593750000000001
	-2.60625			6.106250000000001
	-2.80625			6.0125
	-2.6687500000000006			6.93125
	-2.7937500000000006			5.075
	-3.4999999999999996			5.356250000000001
	-4.09375			4.612499999999999
	-3.8874999999999993			5.28125
	-3.556250000000001			5.69375
	-3.5812500000000003			5.925000000000001
	-3.4125			6.537499999999999
	-3.3500000000000005			5.49375
	-3.70625			5.1625000000000005
	-3.9312500000000004			4.906250000000001
	-3.7875			4.500000000000001
	-4.1			4.525
	-4.262499999999999			3.4812499999999997
	-4.937500000000001			2.7750000000000004
	-4.825			2.93125
	-5.3125			2.2625000000000006
Dec.	-5.78125			1.7687499999999998
	-6.50625			1.7937499999999997
	-6.549999999999999			2.4124999999999996
	-6.1625			2.84375
	-6.0875			3.2375000000000003
	-5.9875			3.062499999999999
	-5.7749999999999995			3.125
	-5.106249999999998			3.8875
	-6.1937500000000005			2.3249999999999997
	-6.8625			1.4937500000000004
	-6.9875			1.675
	-6.7875			1.81875
	-6.718749999999999			1.7062499999999998
	-6.4437500000000005			2.2937499999999997
	-5.875			2.53125
	-6.868750000000001			1.48125
	-7.459999999999999			1.8333333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

30 May 26

-13°C

Lowest Temp

20 Jan. 26

Seasonal Breakdown

Hottest MonthAugust33.9°C

Coldest MonthJanuary-5.99°C

Wettest MonthMay4.45mm

Windiest MonthApril23.91km/h

Gaobeidian 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 Gaobeidian historically?

July is historically Gaobeidian's hottest month, with average maximum temperatures around 33°C. During peak heatwave events, the highest recorded temperatures have reached 44°C on 2022-06-25.

2. What is the coldest month in Gaobeidian historically?

January is Gaobeidian's coldest month, with average minimum temperatures around -7°C. The all-time record low of -20°C was recorded on 2021-01-06.

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

Gaobeidian's average annual rainfall is approximately 613.9mm, based on records spanning 17 years.

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

Gaobeidian historically records approximately 95.4 rainy days per year. July has the highest number of rain days at an average of 18.7 days.

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

The all-time highest temperature recorded in Gaobeidian is 44°C on 2022-06-25.

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

The all-time lowest temperature recorded in Gaobeidian is -20°C on 2021-01-06.

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

Gaobeidian experiences its strongest winds during April. The historic gust record of 43.2 kph was recorded on 2026-01-10.

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

Usually, Gaobeidian's humidity peaks in August at around 69.3% and drops to its lowest in March at approximately 32.9%.

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

Gaobeidian 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

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

Gaobeidian 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

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