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

Lishui Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.7375	0.2		11.618750000000002	9.1
	2.9000000000000004	-3.6		13.374999999999998	6.6
	3.6374999999999997	-4.7		12.787499999999998	10.8
	3.8312500000000003	-3.3		13.31875	14.1
	4.187499999999999	2.8		12.893750000000002	6.7
	4.1625	-1.6		10.906250000000002	9.6
	3.36875	-4.4		11.45	11.6
	2.5124999999999997	-2.4		10.437499999999998	11.2
	2.19375	-4.2		10.287500000000001	12.5
	2.7687500000000003	0.7		10.649999999999999	14.4
	2.33125	-1.1		10.456249999999999	11.7
	2.0875000000000004	-3.8		10.85625	15.3
	2.175	-0.1		11.643749999999999	17.8
	2.29375	0.7		12.456249999999997	20
Jan.	2.63125	2		11.20625	20.9
	2.4812499999999997	3.9		10.781250000000002	21.6
	1.925	11.4		11.2875	22.1
	2.4000000000000004	6.6		12.681249999999999	21.7
	3.4687500000000004	6.6		13.049999999999999	21.6
	3.83125	1.5		12.9625	10.6
	3.5562500000000004	-1.1		12.6625	6.1
	2.74375	-2.8		10.718750000000002	7.8
	2.56875	-3.6		10.65	13.3
	1.4562499999999998	-0.2		10.693750000000001	17.5
	2.16875	2.2		10.956249999999999	19.4
	1.9999999999999996	9.7		10.625000000000002	22
	2.29375	6.3		11.0625	11.4
	2.6375	5.2		11.406250000000002	11.7
	2.774999999999999	0		11.74375	14.4
	2.33125	9		13.08125	12.4
	3.4875000000000003	3.9		13.68125	8.7
	4.5375000000000005	3.8		13.45625	8.8
	3.80625	-0.2		11.681250000000002	13.2
	3.7062499999999994	-0.3		11.9875	14.2
	3.65625	2.4		11.40625	20.6
	3.7312499999999997	8.7		13.037500000000001	21.2
	4.687500000000001	2.9		13.412500000000001	13.8
	3.5999999999999996	2.3		12.1	5.1
	2.275	-2.4		10.59375	7.3
	2.4249999999999994	-2.7		10.812499999999998	11.5
	2.35625	1.1		11.762500000000001	17.8
	2.9374999999999996	4.7		12.45	16.2
	4.06875	3.8		14.162499999999998	19.2
	4.125	5.8		14.325000000000001	21.7
	4.3625	8.6		14.93125	23
Feb.	4.35625	10.5		14.218750000000002	25.1
	3.7437499999999995	4.6		11.850000000000001	16.2
	3.7375000000000003	4.2		13.49375	6.1
	3.89375	4.4		13.874999999999998	15.5
	4.075	1.8		13.86875	17
	4.356249999999999	5.3		14.375	19.5
	4.481249999999999	4.7		15.043750000000001	23.4
	5.525	7.8		13.893749999999997	22.5
	4.89375	7.5		13.16875	21
	4.000000000000001	11.4		13.5125	23.2
	5.981249999999999	11		15.7	16.1
	6.1937500000000005	12.4		15.362499999999999	13.6
	6.49375	11.9		16.24375	14
	7.2625	10.7		18.318750000000005	14.3
	7.081250000000001	11.5		16.6	13.4
	6.018750000000001	9.2		14.81875	15.9
	5.0625	8.8		15.493749999999999	15.8
	6.5687500000000005	7.1		17.2125	13.8
	6.8625	9.8		16.481250000000003	19.1
	5.9625	9.1		14.95625	14.9
	5.374999999999999	3		14.024999999999999	15.5
	5.481250000000001	5		16.162499999999998	16.6
	6.03125	6.9		16.75	14.6
	5.6125	1.5		16.03125	16.6
	5.8687499999999995	1.4		17.718749999999996	20.4
	7.187500000000001	2.9		19.2625	13.3
	7.3812500000000005	2		18.937500000000004	18.3
	8.331249999999997	2.6		19.281250000000004	21.2
Mar.	7.675000000000001	4.2		18.743750000000002	23.4
	8.0875	9.7		19.475	22
	9.30625	11		20.76875	22.8
	10.59375	10.7		20.8125	24.8
	10.625	10.8		20.393749999999997	12.1
	10.187499999999998	11.5		20.125000000000004	14.9
	7.956249999999999	9.4		18.193749999999998	14.1
	7.3625	7.8		18.675	23
	8.5375	15.1		19.7625	17.6
	8.13125	14.3		18.606250000000003	19.4
	8.50625	14.2		18.7625	18.3
	9.08125	10.6		20.287499999999998	17.2
	9.206249999999999	12.4		21.381249999999998	15.4
	9.0625	12.4		20.6	18.8
	8.975000000000001	12.4		19.787500000000005	24.3
	9.381250000000001	13.4		20.474999999999998	24
	9.625	13.1		19.518749999999997	16.8
	9.993750000000002	10.1		20.906250000000004	20.7
	10.18125	8.6		22.16875	22.5
	10.4375	12.8		21.593750000000004	15.8
	10.76875	10.6		21.293749999999996	23.9
	11.0375	11.3		22.2625	26.5
	10.231250000000001	13.9		20.693749999999998	24.2
	10.075000000000001	12.9		20.64375	17.4
	10.225	9.7		21.481250000000003	20.7
	10.86875	11.7		22.756249999999998	33.2
	11.0125	17.6		23.025000000000002	30.4
	12.137500000000001	17.5		23.137500000000003	20.1
	12.4875	17		22.9375	23.3
	11.324999999999998	16.1		22.11875	25.5
	11.46875	18.1		21.84375	26.5
Apr.	11.568750000000001	19.2		22.268749999999997	20.9
	11.775	17		23.7375	21.6
	13.325	16.7		25.15625	23.5
	13.6375	13		25.3125	21.7
	14.062500000000002	12.3		24.79375	28
	13.1	13.8		23.76875	29.3
	14.10625	15.8		25.356250000000006	17.5
	14.0875	15.6		23.13125	20.4
	13.850000000000001	13.7		23.875	15.6
	13.724999999999998	11.5		23.38125	20.9
	13.94375	11.6		23.362499999999997	24
	13.81875	10		24.075	26.5
	13.3125	12.4		23.95	29.9
	13.843749999999998	14.5		25.53125	25.6
	14.256250000000001	11.1		25.606250000000003	12.8
	14.2	7.9		25.718750000000004	19.8
	14.543750000000001	6.3		26.74375	24.9
	14.65	8.6		26.1375	27.4
	14.912499999999998	14.6		25.849999999999998	21.5
	15.193750000000001	10.1		26.01875	21
	15.487499999999999	8.7		25.76875	24.9
	16.0375	9.5		26.181250000000006	28.2
	16.18125	12.6		27.143749999999994	30.2
	16.425	14.2		25.48125	17.2
	16.506249999999998	10.8		26.1375	14.7
	16.6375	8.7		26.818749999999998	25.4
	16.28125	13.1		26.49375	27.2
	16.08125	14.9		25.950000000000003	29.4
	15.73125	16.3		26.656249999999996	28
	16.51875	16		27.581250000000004	23.6
May	16.78125	14		27.693749999999998	22.9
	17.25	13.3		26.974999999999994	27.3
	17.24375	12.6		27.618750000000002	28
	17.431250000000002	12.3		27.968749999999996	28.9
	17.39375	14.9		27.5	29.9
	18.00625	18.4		27.281249999999996	28.2
	17.71875	20.6		26.91875	29.8
	17.406250000000004	20.5		25.656249999999996	29.9
	17.0375	19.9		25.306249999999995	31.7
	16.8375	21.5		25.76875	29.2
	16.9625	22.2		28.387500000000003	32.1
	18.162499999999998	21.6		27.599999999999998	32.3
	18.66875	22.6		27.843749999999996	30.9
	17.868750000000002	22.3		26.856249999999996	29.3
	17.906250000000004	20.4		28.400000000000002	31.8
	17.54375	19.2		28.018749999999997	24.6
	18.118750000000002	16.5		27.625	30.2
	18.931250000000002	15.4		27.60625	32.8
	18.91875	18.3		26.087500000000002	33.9
	17.98125	19.7		25.45625	34.1
	17.756249999999998	20.5		26.349999999999994	28.5
	18.475	18.5		28.08125	25.7
	19.05	19.8		28.35625	27.7
	19.46875	20.4		28.862499999999997	30.4
	19.881249999999998	17.4		29.29375	22.5
	20.25	16.2		28.856249999999996	16.9
	20.70625	13		29.1875	21.4
	20.69375	14.3		28.062500000000004	29.9
	20.293750000000003	15.1		28.425	21.5
	20.362499999999997	16.8		27.568750000000005	20.3
	19.887500000000003	18.6		28.625000000000007	28.8
Jun.	19.88125	18.6		30.64375	30.4
	21.03125	19.2		30.312500000000004	29.6
	21.125	19.8		30.08125	31.7
	21.45625	20.1		29.1875	28.6
	21.287499999999998	20.4		29.449999999999996	32.2
	21.668749999999996	20.2		28.10625	33.5
	21.750000000000004	21.4		28.4625	33.3
	20.89375	21.6		28.96875	34.6
	21.3375	21.5		29.799999999999997	27.4
	21.79375	21.8		30.506249999999998	29.5
	22.03125	22		30.156250000000004	24.4
	22.124999999999996	18.6		30.99375	30.4
	22.49375	18.4		30.781250000000004	24.5
	22.60625	16.2		31.543750000000003	31.1
	23.006249999999998	19.8		31.93125	25.8
	23.131250000000005	22.2		31.981249999999996	30.7
	22.88125	22		32.3875	30.1
	23.45	21.7		33.0125	30.4
	23.6625	20.8		33.087500000000006	37
	23.487500000000004	20.7		33.0875	34.8
	23.900000000000002	21.2		33.050000000000004	36.2
	23.318749999999998	21.2		32.8625	37.7
	23.23125	21.4		32.70625	37.2
	23.43125	21.7		32.30625	36.7
	23.712500000000002	21.2		32.225	34.8
	23.66875	18.7		33.037499999999994	36
	23.675000000000004	21.8		33.06875	25.6
	23.74375	21.5		34.081250000000004	24.7
	23.968749999999996	21.9		33.75625	31.6
	23.487499999999997	22.2		33.25625000000001	35.4
Jul.	23.331249999999997	20.7		33.550000000000004	36.3
	23.500000000000004	21.9		33.375	36.7
	23.4875	22.2		32.8375	36.9
	23.21875	22		33.012499999999996	36
	23.456249999999997	21.7		33.2	35.2
	23.525	22		34.28125	34.6
	23.600000000000005	21.9		33.70625	32.4
	23.531250000000004	21.1		33.36249999999999	36.2
	23.956249999999997	21.1		33.66875	36.3
	24	21.1		33.618750000000006	36.2
	24.0125	21.2		33.75	33.7
	24.300000000000004	21		33.31875	33.6
	24.06875	21.9		32.96875	32.9
	23.856250000000003	21.3		33.4	32.4
	23.843750000000004	19.8		33.981249999999996	34.3
	23.481250000000003	19.7		33.6875	36.6
	23.650000000000002	19.5		33.775	36.4
	23.918749999999996	19		33.45	37
	23.76875	19.7		33.668749999999996	34.8
	23.85625	22.2		34.006249999999994	36.9
	23.93125	20.5		33.96875	35.9
	24.09375	21.1		34.025	33.8
	23.94375	20.6		34.143750000000004	35.2
	23.762500000000003	21.3		34.56249999999999	34.6
	23.743749999999995	22.4		33.943749999999994	31.2
	24.012500000000003	22.7		33.825	24.9
	24.28125	22.9		33.662499999999994	25.4
	23.806250000000002	22.5		34.525	31.7
	23.81875	22.1		33.44375000000001	32.7
	23.71875	21.2		33.9375	33.8
	23.6125	22		33.51875	33.5
Aug.	23.681250000000002	21.8		33.80625	31.9
	23.368749999999995		21.6	33.88125		31.9
	23.34375		22.1	34.125		31
	23.20625		20.5	33.824999999999996		33
	22.862499999999997		19	33.16875		33
	22.962500000000002		18.7	33.86874999999999		33.4
	23.456249999999994		18.3	34.287499999999994		33.9
	23.21875		19.8	33.81875		27
	23.38125		22.1	33.375		30
	22.856249999999996		21.7	33.38125		31.3
	22.949999999999996		23.3	33.325		33.5
	23.393749999999997		23.4	33.574999999999996		33.4
	23.450000000000003		23.5	33.51875		33.1
	23.1125		22.8	32.79375		32.6
	22.26875		22.4	31.906250000000004		32.2
	22.30625		22.3	31.506249999999994		31.5
	21.881249999999998		21.9	30.98125		30.7
	21.6875		21.6	31.1875		30.6
	21.825000000000003		21.9	30.806250000000002		31.2
	22.0875		22	31.350000000000005		31.1
	21.55		21.2	31.668750000000003		31.3
	21.456249999999997		21.6	31.381249999999998		31.2
	21.681249999999995		22	31.89375		32.4
	21.89375		22	31.525000000000002		31.6
	21.5125		21.6	31.4		31.3
	21.318750000000005		21.4	31.918750000000003		32.1
	20.9375		21.1	32.262499999999996		31.6
	21.468749999999996		21.4	31.13125		31
	21.74375		21.6	30.187499999999996		30.6
	21.16875		20.9	30.581249999999997		30.1
	20.91875		20.9	29.3625		28.8
Sep.	20.756250000000005		20.9	29.54375		29.8
	20.806250000000002			29.381249999999998
	20.793750000000003			30.700000000000003
	20.63125			30.29375
	19.831249999999997			29.13125
	19.462500000000002			28.1625
	19.168750000000003			27.4
	18.599999999999998			27.268750000000004
	19.05			26.712500000000002
	18.887500000000003			27.068749999999998
	18.387500000000003			27.237499999999997
	18.5875			28.843750000000007
	19.15			28.9375
	19.2625			28.84375
	19.543750000000003			28.6875
	18.76875			27.65625
	18.55625			28.268749999999997
	18.681250000000002			29.049999999999997
	17.293750000000003			27.331249999999997
	16.924999999999997			26.45625
	17.118750000000002			26.35625
	17.5			25.406249999999996
	17.625000000000004			24.974999999999994
	17.31875			24.462500000000002
	16.40625			24.874999999999996
	16.337500000000002			25.275000000000006
	15.94375			25
	16.081249999999997			24.7375
	15.437500000000004			24.706249999999994
	15.168750000000001			23.4375
Oct.	15.399999999999999			24.231250000000003
	15.037500000000001			23.618750000000002
	15.062499999999998			23.743750000000002
	14.193750000000001			23.243749999999995
	14.0625			23.049999999999997
	13.725000000000003			21.756249999999998
	13.274999999999999			22.406249999999996
	13.687499999999998			22.943749999999998
	14.012500000000001			22.731250000000003
	13.05			22.287499999999998
	11.900000000000002			22.1375
	13.037500000000001			22.318749999999998
	13.793750000000003			22.1125
	13.312500000000002			22.125
	12.49375			22.681249999999995
	12.55625			21.193749999999994
	11.549999999999999			21.675
	12.031250000000002			21.174999999999997
	12.156249999999998			20.099999999999998
	12.23125			19.55625
	11.637500000000001			20.66875
	11.98125			21.8
	12.806249999999999			22.081249999999997
	13.18125			23.075000000000003
	11.506249999999998			20.06875
	9.962499999999999			19.63125
	10.143749999999999			18.9375
	10.987499999999999			19.099999999999998
	10.343749999999998			19.06875
	10.081249999999999			18.937499999999996
	10.63125			19.9
Nov.	10.60625			20.181250000000002
	11.275			19.39375
	11.43125			19.18125
	9.912500000000001			18.268749999999997
	9.39375			18.225
	9.331249999999999			19.59375
	9.9625			19.15625
	10.043750000000001			19.325
	8.937500000000002			18.43125
	7.862500000000001			17.575
	7.1000000000000005			15.406249999999998
	7.26875			17.043750000000003
	6.925			17.025
	6.9750000000000005			17.062499999999996
	7.7250000000000005			16.425
	6.381249999999999			15.393750000000002
	5.94375			13.931250000000002
	5.0375000000000005			14.14375
	5.10625			15.399999999999999
	5.468749999999999			14.1875
	5.137500000000001			14.45625
	5.437499999999999			15.09375
	4.5375000000000005			13.725
	3.64375			14.237500000000002
	4.6125			14.012500000000001
	4.8500000000000005			15.193749999999998
	5.5249999999999995			14.187499999999998
	4.925			11.85
	4.925			13.050000000000002
	5.593750000000001			13.631250000000001
Dec.	3.9687499999999996			13.90625
	2.91875			10.90625
	1.1			9.60625
	0.6250000000000002			10.818750000000001
	1.5687499999999999			11.76875
	2.5250000000000004			11.4125
	3.25			12.05625
	4.125			13.125
	2.7999999999999994			12.787499999999998
	2.7125			11.624999999999998
	1.7562499999999999			11.268749999999997
	1.9937500000000004			12.268750000000004
	2.8187500000000005			12.612500000000002
	2.85			11.71875
	3.29375			12.3
	2.7375000000000003			12.34375
	0.9133333333333332			10.533333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

6 Jul. 26

-5°C

Lowest Temp

3 Jan. 26

Seasonal Breakdown

Hottest MonthJuly34.35°C

Coldest MonthJanuary1.15°C

Wettest MonthAugust17.68mm

Windiest MonthAugust11.53km/h

Lishui 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 Lishui historically?

August is historically Lishui's hottest month, with average maximum temperatures around 33°C. During peak heatwave events, the highest recorded temperatures have reached 42°C on 2022-08-22.

2. What is the coldest month in Lishui historically?

January is Lishui's coldest month, with average minimum temperatures around 3°C. The all-time record low of -7°C was recorded on 2016-01-24.

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

Lishui's average annual rainfall is approximately 1657.5mm, based on records spanning 17 years.

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

Lishui historically records approximately 208.4 rainy days per year. June has the highest number of rain days at an average of 24 days.

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

The all-time highest temperature recorded in Lishui is 42°C on 2022-08-22.

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

The all-time lowest temperature recorded in Lishui is -7°C on 2016-01-24.

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

Lishui experiences its strongest winds during March. The historic gust record of 47.2 kph was recorded on 2026-08-09.

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

Usually, Lishui's humidity peaks in June at around 87.6% and drops to its lowest in January at approximately 75.2%.

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

Lishui 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

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

Lishui 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

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