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

Weihai Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.78125	-2.7		3.54375	0.3
	-1.4375	-2.8		2.6875000000000004	2.4
	-1.3062500000000001	0.6		3.09375	4.2
	-1.1625	2.3		3.05625	4.8
	-1.11875	2.2		2.5875000000000004	3.9
	-1.2750000000000001	1.4		2.33125	5.3
	-1.3437499999999998	0.3		2.125	3.4
	-2.05625	0.1		2.2187500000000004	1.7
	-1.725	0.7		1.54375	6
	-1.50625	-2.1		1.7937499999999997	4
	-2.3875	-6.7		1.7062499999999998	-2.4
	-1.9625000000000004	-5.7		2.1624999999999996	4.5
	-1.2187499999999998	-2.4		2.925	2.2
	-1.5499999999999998	-0.6		2.9375	7.8
Jan.	-2.25625	2.3		1.71875	4.4
	-2.1999999999999997	-0.5		1.4874999999999998	5.1
	-1.5875000000000001	-2.3		2.475	-0.3
	-1.26875	-2.3		2.69375	-1
	-0.80625	-6.2		3.125	-1.7
	-1.9625	-7.6		2.125	-4.6
	-2.39375	-5.1		1.8375	-3.8
	-2.1374999999999997	-4.6		1.325	-1.1
	-2.8937500000000003	-4.5		1.225	0.8
	-2.63125	-3.3		1.5312500000000002	0.7
	-2.5812500000000003	-3.9		1.5	-1.7
	-1.7125	-3.1		1.8125	0.7
	-1.8625000000000005	-3		1.5062499999999999	0.3
	-2.0812500000000007	-3.4		1.6750000000000003	-0.7
	-2.1812500000000004	-3.3		2.2687500000000003	-1.5
	-1.64375	-3.4		2.36875	-2.2
	-1.5437500000000002	-2.5		3.0875000000000004	1
	-2.1687499999999997	-2.6		1.70625	3
	-2.375	-1.7		1.2937500000000002	0.3
	-2.425	-2		1.825	5.6
	-2.0562500000000004	2.4		1.61875	8.1
	-1.6375	-4.8		1.6624999999999999	4.4
	-2.35	-8.2		1.7437500000000001	-5.3
	-3.5875	-7.1		0.6812499999999999	-4.4
	-2.3249999999999997	-4.4		0.83125	-1.1
	-2.39375	-2.4		2.51875	5.6
	-2.2	0.6		2.6875	5.2
	-1.3125000000000002	1.1		3.0749999999999997	2.7
	-0.7624999999999997	2.8		3.375	8.2
	-0.39375	4.7		4.4375	9.8
	-0.36249999999999993	3.7		3.5875	12.6
Feb.	-1.5499999999999996	-0.1		2.575	3.8
	-2.0374999999999996	-0.9		2.50625	0.4
	-1.3750000000000002	-0.7		2.0125	4
	-0.7312500000000001	-0.6		3.2562499999999996	3.8
	-0.8312499999999999	-0.2		4.506250000000001	8.8
	-0.73125	4.6		3.8125	13
	0.01875000000000006	8.1		4.65625	12.3
	-0.3875000000000002	1.1		3.86875	10.1
	-0.7124999999999999	-1.1		4.2124999999999995	1.6
	0.03125000000000004	-0.4		4.78125	3.2
	0.4374999999999999	1.8		5.050000000000001	8.5
	0.25625	2.9		5.03125	5.1
	0.5187499999999999	1.6		5.837500000000001	3.7
	1.2125	2.2		6.075	5.1
	-0.08749999999999986	3.8		4.050000000000001	4.4
	-0.40624999999999994	2.8		4.61875	4
	0.8562499999999998	2		6.968750000000001	3.1
	1.85	1.1		6.6125	3.2
	1.3187499999999996	1.5		6.075000000000001	3.3
	1.28125	-0.9		5.26875	1.8
	0.90625	-0.5		5.9125000000000005	0.9
	1.1874999999999998	-0.3		6.28125	6
	0.96875	1.4		6.6	3.3
	1.38125	0.4		7.175000000000001	7.6
	2.225	3.4		7.8875	5.3
	2.0124999999999997	2.6		7.2375	4.5
	2.6375	2.8		7.6	9.4
	2.64375	3.2		7.775	5.4
Mar.	2.2375	3		7.474999999999999	4.3
	1.6625	3.3		7.23125	6.1
	2.43125	4.6		8.19375	10.6
	3.15625	2.3		7.249999999999999	5.9
	2.9437500000000005	1.8		8.706249999999999	7.7
	3.20625	5.1		7.49375	6.4
	3.125000000000001	4.5		7.343750000000001	13.1
	3.3312500000000003	7.1		8.5125	13.4
	4.0625	6.1		9.3125	7.6
	3.4687500000000004	6.9		8.84375	11.7
	4.125	7.6		9.6625	16
	4.55	10		10.4125	14.1
	4.799999999999999	8.4		10.3	12.9
	4.362500000000002	8.1		9.987500000000002	16
	4.23125	9.4		9.725	16.4
	4.98125	7.2		9.75625	10.5
	5.375	6.6		11.156249999999998	9.1
	5.6625000000000005	6.8		10.58125	9.8
	5.04375	6.6		11.125	15.2
	5.34375	9.1		10.7875	16.4
	5.84375	4.7		11.562499999999998	6.7
	5.731249999999999	7		10.087499999999999	14.7
	5.662499999999999	5.7		9.437499999999998	8
	5.6375	5.1		11.012499999999998	7.3
	6.1625	5.2		11.524999999999999	13.5
	7.062499999999999	6.7		13.325000000000001	8.4
	6.706249999999999	6.9		12.293750000000003	9.8
	6.6125	9.2		12.350000000000003	13.6
	6.9125	9.3		12.381250000000003	19.2
	7.04375	10.9		12.381250000000003	13.9
	6.925	12		11.837500000000002	16
Apr.	7.675000000000001	12.4		14.0375	16.3
	8.056249999999999	11.8		14.112499999999999	19.2
	8.081249999999999	10.5		13.9875	15.4
	8.025	11.4		12.775	18.9
	8.30625	12.5		13.806249999999997	21.6
	8.36875	6.6		14.331249999999999	10.2
	8.650000000000002	10.5		13.7375	17.7
	8.837500000000002	11.7		12.993749999999999	13.9
	8.61875	11		13.80625	16
	9	12.1		14.375	21.4
	9.118750000000002	12.3		14.78125	21.3
	9.3625	13		15.325000000000001	20.2
	9.35625	9.7		14.2375	19.2
	9.575000000000001	10		14.775000000000002	11.5
	10.000000000000002	10.5		15.49375	15.2
	10.456249999999999	11		15.668750000000001	15.4
	10.69375	13		16.55	18.9
	11.424999999999999	11.9		17.44375	20.5
	11.23125	9.8		16.775000000000002	12.3
	11.65	9.8		17.10625	16.2
	11.26875	12.4		17.900000000000002	18.9
	10.975000000000001	14.5		15.93125	21.7
	11.45	11.7		16.4375	13
	11.481250000000001	12.3		17.06875	16.2
	10.6625	12.9		15.549999999999999	22.4
	11	14.3		17.05	18.5
	11.94375	14.3		18.00625	17.9
	12.06875	13.3		18.3	17.8
	12.64375	14		18.706250000000004	24.9
	12.825000000000001	15		18.99375	22.4
May	12.9	14.8		18.60625	22.9
	12.8875	14.4		19.268749999999997	23.5
	13.506249999999998	15.4		19.74375	22.9
	13.86875	16.4		19.8	21.1
	13.61875	15.5		20.64375	17
	13.78125	13.6		19.781249999999996	14.8
	14.006250000000001	13.2		19.925000000000004	15.4
	14.524999999999999	13.9		19.8375	19.3
	14.743749999999999	15.6		21.21875	21.6
	14.65625	15.7		21.55	22.5
	14.756250000000001	15.6		19.081250000000004	20
	15.2125	16		20.799999999999997	17.9
	15.249999999999998	15.8		20.5	17.2
	15.468749999999998	16.4		22	20.7
	16.099999999999998	16.6		21.006249999999998	21.9
	16.1875	20.1		21.2125	28.5
	16.012500000000003	19.8		22.612499999999997	27.2
	16.193749999999998	19.3		21.4375	25.6
	16.28125	17.8		21.83125	26.1
	16.368750000000002	18.4		21.981249999999996	22.5
	16.39375	17.1		22.856250000000003	19.6
	16.9625	15.8		22.743750000000006	19.5
	16.99375	15.6		23.14375	18.5
	17.06875	16		22.4625	19.5
	17.431250000000002	15.9		23.206249999999997	21.7
	17.668749999999996	17.1		23.056250000000006	23.8
	17.525	16.6		22.181250000000002	19.2
	17.14375	17.6		21.775	22.5
	17.4625	18.8		23.524999999999995	26.1
	17.825	19.8		23.037499999999994	27.4
	18.26875	18.8		23.24375	24.4
Jun.	18.29375	18.4		23.443749999999998	25.1
	18.8125	19.2		23.825000000000003	25.4
	19.00625	20		24.51875	26.5
	19.5	20.6		25.168749999999996	25.8
	19.612499999999997	19.6		23.93125	23.5
	19.25625	18.5		23.924999999999997	20.6
	19.400000000000002	18.7		24.925000000000008	21.8
	20.04375	19.7		24.84375	23.4
	20.1125	18.7		24.59375	24.5
	19.925	19.9		25.031250000000004	23.3
	19.6125	19.1		23.743750000000006	21.9
	19.806249999999995	18.7		24.581250000000004	22.6
	20.199999999999996	20.6		25.212500000000002	26.6
	20.96875	20.6		25.799999999999997	27.5
	20.85625	20.3		25.6625	27
	20.731250000000003	20.5		25.11875	26.9
	20.7	19.4		25.856250000000003	24.2
	21.462500000000002	19.9		25.518750000000004	26.2
	20.95625	23		24.90625	29.1
	21.59375	22		25.59375	28.2
	21.624999999999996	21.7		26.706249999999997	28.9
	21.91875	19.9		25.956250000000004	27.9
	21.85625	21		25.374999999999996	24.7
	21.65625	21		25.881250000000005	29.2
	22.2	23.4		26.1125	26.8
	22.23125	23.2		25.975	27.4
	22.431250000000002	23.7		26.062500000000004	29.9
	22.1125	24.1		26.09375	29.1
	22.35625	24.1		26.26875	27.4
	22.650000000000006	21.1		26.181249999999995	24.6
Jul.	22.26875	22.6		25.9	26.3
	22.318749999999998	22.7		25.91875	27.3
	22.431250000000006	20		26.143749999999997	23.3
	22.7	21.9		25.93125	24.4
	22.924999999999997	22.6		26.6875	25.3
	23.14375	21.5		26.99375	23.9
	23.181250000000002	21.1		26.93125	25.6
	23.5375	23.1		27.525	27
	23.537499999999998	23.2		27.231250000000003	26.8
	23.581250000000004	22.7		27.1625	28
	23.668749999999996	24.3		27.943750000000005	30.5
	23.768750000000004	24.7		28.224999999999998	28.9
	23.9125	25.2		27.781249999999996	29.2
	23.95625	25.5		27.66875	31.1
	24.306250000000002	24.7		28.187500000000004	30.9
	24.425	25.8		27.818749999999998	33.2
	24.631249999999998	26.6		28.275000000000002	32.4
	24.6125	27.2		28.037500000000005	33.1
	24.724999999999998	26.8		28.218750000000004	32.5
	24.6	26.4		28.61875	32.3
	24.793749999999996	25.4		28.46875	31.5
	24.8375	25.7		28.875	29.5
	24.74375	26		27.868749999999995	29.4
	24.449999999999996	27		27.75625	29.6
	24.5125	25		27.43125	26.6
	24.181250000000002	25.5		27.081249999999997	28.2
	24.41875	25.5		27.068749999999994	28.3
	24.35625	24.4		27.63125	28.4
	24.225	23.8		27.89375	27.6
	24.225000000000005	23.9		27.40625	26.3
	24.6875		20.9	27.625		30.6
Aug.	24.499999999999996		21.5	27.44375		26.4
	24.175		21.4	27.168749999999996		29.9
	23.83125		21.1	27.056250000000006		27.1
	23.856250000000006		21	27.468749999999996		29.3
	24.181250000000002		22.2	27.65		30.4
	24.025000000000002		23.5	27.4375		31.2
	23.35625		22.8	26.96875		31.9
	23.15625		21.7	26.64375		28.4
	23.5125		21.9	26.418750000000003		28.1
	23.381249999999998		21.5	26.04375		28
	22.850000000000005		21.1	26.3		27.4
	22.556250000000002		20.8	26.318750000000005		27.7
	22.281249999999996		20.8	25.324999999999996		26.8
	22.150000000000002		20.6	25.79375		26.7
	22.331249999999997		20.6	24.675		26.1
	22.106250000000003		20.2	24.76875		26.2
	21.681250000000002		19.6	25.4125		26.6
	21.6125		19.8	25.41875		27.2
	21.475		19.6	25.312500000000004		26.4
	21.56875		19.5	24.78125		26.4
	21.406250000000004		19.5	24.574999999999996		25.7
	21.349999999999998		19.9	25.01875		26.8
	21.75625		19.5	25.15625		25.9
	21.368749999999995		18.9	24.9875		25.6
	21.368750000000002		18.9	25.175		26.5
	20.956249999999997		18.9	24.73125		26.5
	21.181250000000002		18.8	24.556250000000002		25.9
	20.931250000000002		18.7	24.762499999999996		25.7
	20.674999999999997		19.2	24.218750000000004		25
	21.018749999999997		18.2	24.41875		25.8
	21.1375			24.45
Sep.	21.25625			24.06875
	20.5625			23.931250000000002
	20.48125			23.625
	20.20625			23.974999999999998
	19.8875			23.093749999999996
	19.83125			22.868750000000002
	19.2			23.4125
	19.131249999999998			22.8875
	18.862499999999997			22.4875
	18.737499999999997			22.9
	18.718750000000004			22.4875
	18.94375			22.75625
	18.85			22.70625
	18.262500000000003			22.087499999999995
	17.912499999999998			22.1875
	17.65625			22.037499999999998
	17.63125			21.6875
	17.03125			21.01875
	16.70625			20.612500000000004
	16.4375			20.275000000000006
	15.981249999999998			19.84375
	17.049999999999997			19.931250000000002
	16.325			19.775000000000002
	16.181250000000002			20.13125
	15.837500000000002			20.29375
	15.31875			18.8125
	15.343750000000004			18.668749999999996
	15.075			19.0125
	14.75625			19.33125
	14.906249999999998			19
Oct.	14.743749999999999			18.387499999999996
	14.412500000000001			17.89375
	14.118749999999999			17.36875
	13.76875			17.9
	13.49375			18.0375
	13.281250000000002			17.5
	13.3125			17.612499999999997
	13.818750000000001			17.693749999999998
	12.887500000000003			17.43125
	12.275000000000002			16.94375
	12.5125			16.943749999999998
	12.331249999999999			16.400000000000002
	12.056250000000002			15.64375
	12.56875			16.5
	11.581249999999999			15.687499999999996
	11.443750000000001			15.887499999999998
	11.71875			16.23125
	11.306249999999999			15.6125
	11.093749999999998			15.3
	10.956250000000002			15.50625
	11.318750000000001			15.5125
	10.906250000000002			15.943749999999998
	10.5875			14.81875
	10.4125			14.3125
	9.08125			13.24375
	8.725			12.94375
	8.7125			12.631249999999998
	9.29375			12.8625
	8.7125			13.537500000000001
	8.70625			13.03125
	8.4625			12.637500000000003
Nov.	8.31875			12.8125
	8.15625			11.725000000000003
	7.4312499999999995			12.1
	7.025			11.5625
	7.30625			11.018749999999999
	6.6937500000000005			11.59375
	6.781249999999999			11.631250000000001
	6.768750000000001			10.7625
	5.24375			9.649999999999999
	4.4437500000000005			8.79375
	4.4			8.837499999999999
	4.59375			9.65
	4.19375			9.3
	4.31875			8.718750000000002
	4.118750000000001			8.187499999999998
	3.6125000000000003			7.231250000000001
	3.36875			7.10625
	2.75625			7.431250000000001
	2.9875			7.4125
	3.325			7.300000000000001
	3.4374999999999996			7.393750000000001
	2.49375			6.7
	2.2625			6.406249999999999
	2.2937499999999997			6.581250000000001
	2.475			6.631249999999999
	2.06875			6.74375
	1.7437500000000004			4.800000000000001
	1.5625000000000002			4.91875
	1.4187500000000002			5.3187500000000005
	0.7250000000000001			5
Dec.	0.26249999999999996			4.3
	0.18125			3.29375
	0.05625000000000002			3.4625
	0.24375			4.53125
	0.40624999999999994			4.6312500000000005
	0.3			4.387499999999999
	1.0125			4.7375
	1.01875			4.637499999999999
	0.28750000000000003			4.0125
	-1.05			3.1125000000000003
	-0.8812500000000001			2.44375
	-1.39375			2.8312500000000007
	-1.4249999999999998			3.20625
	-0.3875000000000001			3.98125
	0.35624999999999996			3.8937499999999994
	-0.58125			3.6062500000000006
	-1.113333333333333			2.306666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

33°C

Highest Temp

30 Jul. 26

-8°C

Lowest Temp

6 Feb. 26

Seasonal Breakdown

Hottest MonthAugust29.48°C

Coldest MonthJanuary-2.33°C

Wettest MonthJuly5.19mm

Windiest MonthJanuary32.35km/h

Weihai 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 Weihai historically?

August is historically Weihai's hottest month, with average maximum temperatures around 27°C. During peak heatwave events, the highest recorded temperatures have reached 34°C on 2023-07-05.

2. What is the coldest month in Weihai historically?

January is Weihai's coldest month, with average minimum temperatures around -2°C. The all-time record low of -12°C was recorded on 2021-01-07.

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

Weihai's average annual rainfall is approximately 752.9mm, based on records spanning 17 years.

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

Weihai historically records approximately 124.4 rainy days per year. August has the highest number of rain days at an average of 18.8 days.

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

The all-time highest temperature recorded in Weihai is 34°C on 2023-07-05.

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

The all-time lowest temperature recorded in Weihai is -12°C on 2021-01-07.

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

Weihai experiences its strongest winds during December. The historic gust record of 58 kph was recorded on 2023-11-06.

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

Usually, Weihai's humidity peaks in July at around 82.4% and drops to its lowest in October at approximately 62.2%.

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

Weihai 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

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

Weihai 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

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