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

Linhai Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.15625	1		10.718749999999998	7.6
	2.2375	-4.5		12.66875	5.4
	3.04375	-5.6		11.818750000000003	9.5
	3.0875	-1.3		11.918750000000001	14
	3.6562500000000004	-0.5		11.85625	6
	3.3999999999999995	-3.1		10.768749999999999	9.9
	2.3312500000000003	-3.4		11.006250000000001	10.5
	1.1250000000000002	-2.8		9.48125	9.3
	1.2562500000000003	-3.8		9.581249999999999	11.8
	1.7999999999999998	-0.2		9.993749999999999	13.4
	1.1125000000000005	-2.8		9.6875	8.3
	0.95	-4.6		10.018749999999999	14.7
	1.5875000000000001	1		10.95	17.9
	1.4874999999999998	1.8		11.756250000000001	19.2
Jan.	1.80625	3.1		10.3375	20.9
	1.16875	6.2		9.906250000000002	20.8
	0.8374999999999998	8.5		10.91875	21.1
	1.5375	4.9		11.406250000000002	19.5
	2.78125	5.8		12.368749999999999	19.5
	3.21875	1.2		11.71875	8.8
	2.5	-3.7		11.35	6.1
	1.9875	-6		9.912500000000001	7.2
	1.5562500000000001	-4.5		9.61875	13.4
	1.0125	-0.8		9.793750000000001	15.7
	1.25	1.2		10.425	16.4
	1.5562499999999997	7.8		9.937500000000002	17.7
	1.59375	5.1		10.006249999999998	7.3
	1.81875	1.2		10.587499999999999	12.6
	1.7999999999999996	-0.5		10.768749999999999	13.6
	1.6875	7.3		12.156249999999998	8.3
	2.1750000000000003	3.6		12.9375	6.7
	3.5812500000000003	3.4		12.55	7.7
	2.7812500000000004	-0.3		10.850000000000001	11.7
	2.35	-0.8		11.5625	12.1
	2.4187500000000006	1		10.518749999999999	18.8
	2.41875	8.5		11.84375	19.8
	3.0749999999999993	3.2		12.231250000000001	12.6
	2.4687500000000004	1.3		10.662500000000001	3.9
	1.15625	-4.1		9.543750000000001	5.1
	1.2375	-3.8		9.993750000000002	9.4
	1.5	1.1		10.70625	18
	2.1312499999999996	3.3		11.53125	14.7
	3.13125	1.6		12.8	16.6
	3.5125000000000006	3.9		13.781249999999998	20
	3.7687500000000003	8.9		13.831249999999999	23.1
Feb.	2.95	10.6		13.299999999999999	20.8
	2.90625	4.3		11.206249999999997	14.2
	2.543750000000001	1.4		12.325000000000001	5.1
	2.3625000000000003	0.4		12.737499999999999	13.6
	3.1437500000000003	0.8		12.968750000000002	15.9
	3.2937499999999997	4.2		13.068749999999998	19.5
	3.525000000000001	4.4		13.837500000000002	22.1
	4.275	6.9		13.275000000000002	22.6
	3.4437499999999988	3.9		11.80625	16.7
	3.35	8.9		12.89375	20.2
	4.862500000000001	8.1		14.75	15.2
	4.887500000000001	9.7		13.999999999999996	15.1
	5.456250000000002	10.9		15.156249999999998	12.1
	5.93125	6.9		16.8125	18
	5.79375	10.9		15.05	13.5
	4.7875000000000005	8.5		13.4	14.3
	3.9562500000000003	5		14.437500000000002	12.6
	5.581250000000001	3.4		16.3625	15.4
	5.575000000000001	8.4		15.012499999999998	16.3
	5.46875	7.5		13.9625	14.3
	4.25	1.8		13.481250000000001	14.1
	4.537499999999999	2.7		15.237499999999999	15.1
	5.156250000000002	3.9		15.875000000000002	13.2
	4.9437500000000005	-0.2		15.06875	14.8
	4.8999999999999995	0.2		16.24375	18.3
	6.687500000000001	2.7		18.1	12.2
	6.093750000000002	1.1		17.45	17
	6.874999999999999	1.1		17.693749999999998	17.9
Mar.	6.4312499999999995	3.6		17.162499999999998	20.7
	6.7875	9.4		17.474999999999994	16
	7.7250000000000005	9.5		19.2375	15.7
	8.975	9.7		19.474999999999998	16.6
	8.843750000000004	8.4		18.25	10.6
	8.36875	6.4		18.05	13.9
	6.74375	8.2		16.2625	11.7
	6.3062499999999995	6.5		17.343750000000004	21
	7.2875	12.2		18.20625	15
	7.20625	11.7		16.9	15.7
	7.48125	11.3		18.068749999999998	18.3
	7.775	7.3		18.76875	19.1
	8.1375	10.7		20.212500000000002	11.9
	7.806249999999999	7.7		19.4625	19.8
	8.625	9.5		18.53125	21.5
	8.412500000000001	14.7		19.787500000000005	22.2
	8.918749999999998	11.6		18.568749999999994	14.7
	9.287499999999998	9.6		20.15625	19.1
	9.50625	8.6		21.1875	22
	9.18125	12.4		20.25625	15.4
	9.6375	12.3		20.03125	22.5
	9.624999999999998	12		20.856250000000003	26
	9.0375	12.5		19.887500000000003	25.4
	9.175	11.3		19.725	15.5
	9.712499999999999	7.7		20.76875	19.1
	10.087500000000002	13.1		21.962500000000002	32.5
	10.10625	17.5		21.931250000000002	27.7
	10.918750000000001	13.3		22.087500000000002	18
	11.381250000000001	11.9		22.481250000000003	20.5
	10.59375	15.1		20.4875	22.9
	10.862499999999999	17.4		21.031249999999996	24
Apr.	10.74375	16.6		21.6625	21.3
	11.06875	16		22.637500000000003	20.7
	12.20625	15.5		24.762500000000003	22.7
	12.44375	12.4		24.18125	22
	13.26875	11.3		23.75625	26.2
	12.25625	13.1		22.425000000000004	27.5
	12.95	14.4		23.475	15.6
	12.887500000000003	13.7		22.35	21.4
	12.96875	12.2		22.875000000000004	14.2
	12.6125	10.2		22.549999999999997	20.5
	12.612499999999997	8.6		22.950000000000006	21.7
	12.3625	9.6		22.4	27
	12.262500000000001	11.7		23.043750000000003	28.7
	13.05625	14.3		24.70625	22.8
	13.0875	10.2		24.925	12
	13.612500000000002	8.1		25.262499999999996	18.6
	13.925	6.9		26.200000000000003	24.1
	13.512500000000001	8.7		24.76875	26.2
	14.143749999999999	12.8		24.8125	20.6
	14.750000000000002	10.5		25.21875	20.8
	14.906250000000002	9.3		25.075	23.5
	15.393749999999999	9.6		25.506249999999994	25.9
	15.5625	11.8		26.24375	29.5
	15.149999999999999	12.8		24.65	15.1
	15.506250000000001	10.5		24.924999999999997	20.8
	15.600000000000003	8.8		25.525000000000006	24.8
	15.043750000000003	13.3		25.700000000000003	28.6
	15.00625	16.5		25.40625	31.9
	14.825	16.4		25.4875	28.7
	15.8	16.3		27.043750000000003	21.1
May	16.368750000000002	15.6		26.58125	23.1
	16.862499999999997	14.8		26.531250000000004	26.2
	16.143750000000004	14.5		26.51875	26.9
	16.625	13.4		26.818749999999998	27.3
	16.737499999999997	16.1		26.66875	29.6
	17.049999999999997	18.8		26.387500000000003	25
	16.7	20.8		26.23125	27.2
	16.8125	21.2		25.15625	26.8
	16.48125	18.9		24.568749999999998	30.9
	16.137500000000003	21.6		24.8375	29.4
	16.506249999999998	21.9		27.856250000000003	31.4
	17.64375	22.5		26.924999999999997	29.3
	17.75	23.1		27.031249999999996	28.7
	17.23125	20		26.781250000000004	26.3
	17.425	17.3		28.162499999999994	31
	17.174999999999997	15.6		27.25	29
	17.243750000000002	14.6		26.61875	28.8
	18.1	14		26.174999999999997	32.9
	17.681250000000002	19.5		25.950000000000003	33.4
	17.412499999999998	19.6		25.1875	34.4
	17.48125	20.6		25.762500000000003	27.9
	18.206249999999997	17.2		27.46875	25.1
	18.3	17.8		28.33125	24.4
	18.287499999999998	17.9		27.7	30
	19.381249999999994	16.6		28.30625	21
	19.54375	13.9		27.725	18.4
	19.956250000000004	11.1		28.2125	27.3
	19.7625	13.8		27.48125	29.5
	19.343749999999993	15.8		27.1625	22.1
	19.58125	17.9		26.7	19.6
	19.418750000000003	19.4		28.25	28.5
Jun.	19.500000000000004	17.3		29.700000000000003	28.4
	20.70625	19.3		30.2	29.5
	20.68125	19.5		30.156250000000004	31.5
	20.981249999999996	21.2		29.1625	27.4
	20.9875	21.5		28.75	30.9
	20.84375	20.6		26.75625	31.7
	20.812500000000004	22.3		27.443749999999998	30.8
	20.568749999999998	22.6		28.324999999999996	32.7
	20.856249999999996	23.4		29.418749999999996	27
	21.425	23.4		29.65625	26.5
	21.743750000000002	21.6		29.237499999999997	23.4
	21.99375	18.4		29.78125	29.8
	22.0875	17.4		30.006249999999998	24.5
	22.331250000000004	16.2		30.243750000000002	29.8
	22.624999999999996	21.1		31.306249999999995	25.1
	22.96875	22.6		31.35	27.6
	22.943749999999994	22.5		31.556250000000002	27.6
	23.175	21.5		32.51875	28.8
	23.337500000000006	20.2		32.381249999999994	35.1
	23.31875	20.2		32.362500000000004	34.7
	23.337500000000002	22.1		32.52500000000001	35.3
	23.174999999999997	22		32.45625	35.8
	23.1375	21.7		32.43125	34.4
	23.38125	22.2		31.787500000000005	36.7
	23.5875	21.9		31.993749999999995	32.9
	23.443749999999998	20		32.15625	32.3
	23.568749999999998	22.2		32.55624999999999	26.2
	23.818749999999998	23.8		33.6375	28.6
	23.9125	23.9		33.0625	33.3
	23.681250000000002	23.2		32.775	36.4
Jul.	23.33125	21.2		32.71875	36.8
	23.756249999999998	22.7		32.65	37.4
	23.4625	23.5		32.0125	36.8
	23.349999999999998	23.6		32.456250000000004	36.1
	23.225	23.1		32.262499999999996	35.9
	23.5625	22.6		33.38125	34.2
	23.893750000000004	22.9		33.212500000000006	30.8
	23.874999999999996	22.6		32.731249999999996	33.3
	24.118750000000002	21.4		33.1875	34.8
	24.031250000000007	21		32.96875000000001	35.4
	24.206249999999997	22.9		32.981249999999996	34.2
	23.887500000000003	23.1		32.85625	33.1
	23.881250000000005	22.9		32.84375	32
	24.181250000000006	22		33.206250000000004	33
	24.2625	21.3		33.518750000000004	33.1
	23.868750000000002	20.6		33.3375	36.5
	24.18125	21.2		33.599999999999994	37.2
	23.768749999999997	19.8		32.824999999999996	37.1
	23.831249999999994	21.9		33.3375	38
	23.943749999999994	22.7		33.66875	36.5
	24.3	20.2		32.97500000000001	35.3
	24.2375	22.2		33.712500000000006	33.5
	24.224999999999998	21.3		33.48125	33.5
	23.725	21.3		33.9375	34
	24.043749999999996	22.2		33.081250000000004	27.6
	24.324999999999996	22.7		33.043749999999996	25.2
	23.9875	23.3		33.30625	26.4
	23.956249999999997	23		34.300000000000004	28.6
	23.8625	22.6		33.11875	31.5
	23.9875	22		33.28125	29.3
	24.018749999999997		23.8	33.1125		32.2
Aug.	23.73125		23.7	33.16875		32.6
	23.525000000000006		23	33.206250000000004		29.5
	23.64375		21.9	33.362500000000004		31.5
	23.093750000000004		21.9	32.86875		31.6
	23.143749999999997		20.8	32.5125		31.4
	23.437500000000004		21.9	33.206250000000004		29.9
	23.475		22.5	33.168749999999996		32.3
	23.575		23.8	32.875		30.3
	23.575		24.1	32.5625		32.3
	23.3625		24.1	32.7875		32.2
	23.387499999999996		24.2	32.56249999999999		32.3
	23.168750000000003		23.7	32.64375		32.1
	22.9875		23.7	32.325		31.7
	22.80625		23.3	32.23125		31.2
	22.3625		23.3	30.9125		31.1
	21.99375		22.9	30.75		30.5
	21.862500000000004		22.5	30.131249999999998		29.7
	21.70625		22.2	30.7625		30.3
	21.49375		22.4	30.737500000000004		30.5
	21.875000000000004		22.5	31		30.6
	21.31875		22.1	31.18125		30.6
	21.293750000000003		22.1	30.4875		30.2
	21.362499999999997		22.3	31.33125		31
	21.0125		22	30.30625		30.2
	20.9625		21.8	30.000000000000004		29.8
	20.974999999999998		21.9	30.956249999999997		30.4
	20.8125		21.3	31.3375		29.7
	21.4375		21.6	29.974999999999998		29.4
	21.062500000000004		22	28.968749999999996		29.5
	20.99375		21.4	29.443749999999994		29.1
	20.63125			28.5
Sep.	20.687499999999996			27.918750000000003
	20.393749999999997			28.412499999999998
	20.5125			29.825000000000003
	20.212500000000002			28.91875
	19.650000000000002			27.99375
	19.28125			27.218750000000004
	19.106250000000003			26.2375
	18.50625			26.662500000000005
	18.7125			25.718749999999996
	18.112499999999997			26.643750000000004
	18.218749999999996			26.76875
	17.975			27.787499999999998
	18.48125			28.0625
	19.21875			27.5875
	19.312499999999996			27.674999999999997
	18.768749999999997			26.681250000000006
	17.96875			27.281249999999996
	17.625			27.962500000000002
	17.11875			26.54375
	16.54375			25.65625
	16.768749999999997			24.95
	17.325000000000003			24.556250000000002
	17.19375			24.243750000000006
	16.7125			24.031250000000004
	15.887500000000001			23.981250000000003
	15.837500000000002			24.781250000000004
	15.474999999999998			24.30625
	15.35			23.856250000000003
	14.93125			23.606250000000003
	15.143750000000002			22.725
Oct.	14.756250000000001			23.674999999999997
	14.625			22.843750000000007
	14.812500000000002			23.131249999999998
	13.975000000000001			22.468750000000004
	13.493749999999999			22.568749999999998
	13.24375			21.275000000000002
	13.075000000000001			22.15625
	13.412500000000001			22.00625
	13.843750000000002			22.262500000000003
	12.9			21.7375
	11.89375			21.3625
	12.993750000000002			21.81875
	12.899999999999999			21.631249999999998
	12.737499999999999			21.381250000000005
	12.1875			21.987499999999994
	12.0625			20.556250000000002
	11.193750000000001			20.88125
	12.031249999999998			20.643750000000004
	11.568750000000001			19.95
	12.131249999999998			19.45625
	11.456249999999999			20.018749999999994
	12.206250000000002			20.812499999999996
	12.287500000000003			21.099999999999998
	11.912499999999998			22.03125
	10.418750000000001			19.393749999999997
	9.468749999999998			18.65625
	10.2625			18.606250000000003
	10.78125			18.59375
	9.71875			18.3
	9.49375			18.518749999999997
	9.950000000000001			19.193749999999998
Nov.	10.112499999999999			18.925
	10.4875			18.631249999999998
	10.8875			18.449999999999996
	8.99375			17.26875
	8.762500000000001			17.718749999999996
	8.987499999999999			19.037499999999998
	9.718750000000002			18.59375
	9.63125			18.875000000000004
	8.825			17.775000000000002
	7.5625			16.875
	6.631249999999999			15.131250000000001
	6.7375			16.3625
	6.424999999999999			16.125
	6.6187499999999995			16.7
	7.599999999999999			16.025000000000002
	6.468749999999999			15.006250000000001
	5.249999999999999			13.475000000000003
	4.474999999999999			13.5875
	4.64375			14.76875
	4.637499999999999			13.849999999999998
	4.94375			13.856250000000001
	4.825			14.568749999999998
	4.19375			13.312499999999998
	3.63125			13.656249999999998
	4.2125			13.59375
	4.950000000000001			14.3
	4.9			13.3
	3.74375			11.193749999999998
	3.2125			12.562500000000002
	4.5875			13.624999999999998
Dec.	3.7375			12.656250000000002
	2.0625			9.64375
	0.43124999999999974			9.174999999999999
	0.78125			10.543749999999998
	1.5625			11.674999999999999
	2.0500000000000003			11.006249999999998
	2.84375			11.58125
	3.05			12.787500000000001
	2.28125			11.76875
	1.9687499999999998			10.881250000000001
	1.075			10.231249999999998
	1.3124999999999998			11.537500000000001
	2.0999999999999996			11.375
	2.35625			11.33125
	2.4375000000000004			12.00625
	1.91875			12.2625
	-0.4999999999999999			9.88

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

2 Aug. 26

-6°C

Lowest Temp

22 Jan. 26

Seasonal Breakdown

Hottest MonthJuly33.83°C

Coldest MonthJanuary0.37°C

Wettest MonthAugust24.8mm

Windiest MonthAugust16.26km/h

Linhai 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 Linhai historically?

August is historically Linhai's hottest month, with average maximum temperatures around 33°C. During peak heatwave events, the highest recorded temperatures have reached 42°C on 2013-08-07.

2. What is the coldest month in Linhai historically?

January is Linhai's coldest month, with average minimum temperatures around 2°C. The all-time record low of -10°C was recorded on 2010-12-17.

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

Linhai's average annual rainfall is approximately 1692.9mm, based on records spanning 17 years.

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

Linhai historically records approximately 215.3 rainy days per year. June has the highest number of rain days at an average of 25.6 days.

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

The all-time highest temperature recorded in Linhai is 42°C on 2013-08-07.

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

The all-time lowest temperature recorded in Linhai is -10°C on 2010-12-17.

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

Linhai experiences its strongest winds during August. The historic gust record of 56.9 kph was recorded on 2026-07-12.

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

Usually, Linhai's humidity peaks in June at around 87.9% and drops to its lowest in January at approximately 74.8%.

Recent Blogs On Weather

See all blogs

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

Linhai 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

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

Linhai 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

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