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

Linyi Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-3.8437499999999996	-2.8		6.537500000000001	3.5
	-2.9	-5.8		6.131249999999999	3.2
	-2.7062500000000007	-3.8		6.262499999999999	6.7
	-2.90625	-0.7		5.475	6.5
	-2.5125	-1.1		5.268750000000001	7
	-3.1125	-0.1		5.1812499999999995	6.8
	-3.625	-0.9		3.88125	6.4
	-3.4062500000000004	-2.2		4.968749999999999	6.2
	-3.2687499999999994	-1.4		5.199999999999999	10.7
	-3.7312499999999997	-1.3		5.031249999999999	5.7
	-3.3249999999999997	-5.4		4.80625	1.6
	-3.6937500000000005	-3.8		5.718749999999999	9.8
	-3.11875	-0.6		6.256249999999999	7.3
	-3.45	0.2		6.41875	9.7
Jan.	-3.6437500000000003	2.9		4.5125	14.5
	-3.475	-0.2		4.73125	14.3
	-3.23125	-3.1		5.68125	4.5
	-2.89375	-2.5		6.425000000000001	2
	-2.3687499999999995	-6.2		7.4437500000000005	-0.9
	-2.925	-10.3		5.468750000000001	-3.4
	-2.9125	-12.3		5.681249999999999	-1.7
	-3.23125	-6.3		4.887500000000001	2.4
	-4.1875	-5		5.09375	5.1
	-3.88125	-3.6		4.8374999999999995	6.9
	-3.11875	-1.4		5.3125	6.4
	-3.1562500000000004	-0.3		5.374999999999999	3.9
	-3.1812500000000004	-2.5		5.75	5.5
	-3.0187500000000003	-2.3		5.581250000000001	6.6
	-2.9437499999999996	-1		6.55625	6.6
	-2.3125	-0.5		7.037499999999999	4.8
	-1.5000000000000002	-1.3		7.474999999999999	6.2
	-1.9374999999999996	-0.1		6.36875	9.3
	-3.09375	-0.2		5.96875	8.7
	-2.4562500000000003	-0.7		5.98125	8.4
	-2.95625	1.4		6.625	12.2
	-2.90625	0.3		6.543750000000001	13.7
	-2.4	-5		7.031250000000001	-0.5
	-3.3062499999999995	-6.3		4.975	2.6
	-3.5125	-5.2		5.425	4.8
	-3.2187500000000004	-3.1		5.7875	7.5
	-2.4437499999999996	-1.3		7.0125	9
	-2.0499999999999994	0.8		8.125	11.9
	-1.375	2.3		8.13125	14.7
	-1.4249999999999998	4.6		9.075	16
	-0.5312499999999997	6.6		8.712499999999999	19
Feb.	-1.4374999999999996	1.5		6.981249999999999	11.2
	-1.6187500000000001	-1.8		8.08125	6.5
	-1.75	-1.1		7.56875	10
	-1.0500000000000003	1.2		8.35	12.9
	-1.30625	1		9.9625	15.3
	-1.3687500000000001	4.6		9.125	19.7
	-0.18124999999999997	9.1		9.318750000000001	22.3
	-0.012500000000000056	6.2		9.125000000000002	14.4
	-1.0125	2		10.212499999999999	10
	0.175	1.6		10.7	8.7
	0.47499999999999987	0.8		11.343750000000002	13.1
	0.56875	4		11.374999999999998	5.3
	0.7812499999999999	5		11.075	12.6
	2.00625	2.6		11.525000000000002	11.1
	0.9437499999999999	4.1		10.125	6.3
	-0.53125	2.8		10.6625	7.6
	0.6	3.4		12.05	11
	1.4999999999999998	2.5		13.631250000000001	11.9
	1.8125000000000004	5		12.4625	9.8
	1.54375	0.3		12.000000000000002	9.4
	1.51875	-0.7		12.737499999999999	8.4
	2.5	-0.7		14.587500000000002	11.5
	2	2.8		14.093750000000002	11.4
	1.8125	1.1		13.8875	14.3
	2.8875	6.2		15.275	14.6
	3.4562500000000003	4.9		14.90625	13.2
	3.28125	2.9		14.999999999999998	15.1
	3.4812500000000006	4.2		15.674999999999999	15.7
Mar.	3.4499999999999993	3.4		15.5875	11.7
	3.46875	4.3		15.406250000000002	13.1
	3.55	3.9		15.0125	14.8
	4.35	3.6		15.20625	11.4
	4.218750000000001	0.1		15.63125	12.7
	4.7125	5.9		14.175000000000002	15.9
	3.6625	5.9		15.125	17.1
	4.73125	7.5		16.481250000000003	18.4
	5.1187499999999995	7.6		16.88125	18.2
	5.212500000000001	6.1		16.79375	17.6
	5.037500000000001	7.7		16.787499999999998	21.6
	5.425	12.2		17.687500000000004	23.2
	6.1	11.8		18.71875	22.8
	6.49375	10.9		18.137500000000003	21.9
	5.5562499999999995	9.8		18.506249999999998	23.5
	6.6499999999999995	10.8		17.931250000000002	18.5
	6.65625	7.4		19.1	20
	6.625	10.3		18.9625	23.3
	6.831250000000001	9.5		19.268749999999997	23
	6.662499999999999	11.8		18.412500000000005	22.9
	6.2875	6.9		17.450000000000006	19.4
	7.14375	9.5		18.174999999999997	24.6
	6.45625	8		18.13125	20.1
	6.78125	6.6		19.325000000000006	18.4
	7.76875	6.4		21.081249999999997	19.8
	8.45	10.1		21.75	20.1
	8.906249999999998	11.4		21.93125	24.3
	8.612499999999999	12		20.768750000000004	24.6
	8.0375	10.4		18.637500000000003	22.4
	7.9312499999999995	10.2		19.975	21.8
	8.88125	12.9		21.0375	21.1
Apr.	8.975	11.5		23	24.8
	9.637500000000003	11		23.10625	20.1
	9.924999999999999	11.4		22.706250000000004	26.5
	9.9125	12.9		21.975	26.6
	9.543750000000001	10.5		21.84375	25.8
	9.84375	9.3		21.7125	19
	9.937499999999998	7.1		19.987500000000004	21
	10.343750000000002	7.6		21.025	13
	10.2625	7.8		22.018749999999997	22.1
	10.96875	10.1		22.099999999999998	23.7
	10.674999999999997	10.5		22.318749999999998	24.2
	11.731250000000003	11		23.256249999999998	26
	10.6625	14.3		23.187500000000004	27
	11.262500000000003	12		23.762499999999996	18.9
	11.7	10.1		24.83125	22
	12.625	8.4		26.65	22.8
	12.506250000000001	11.2		25.974999999999998	26.1
	13.175000000000002	12.5		26.000000000000004	19
	12.85	11.7		25.7375	21.9
	13.1125	9.7		25.25	25.2
	13.149999999999999	10.5		25.250000000000007	28.9
	13.58125	14.8		25.118750000000002	29.7
	13.4625	12.3		26.15	23.2
	13.462500000000002	10.8		23.993750000000002	25.4
	13.062500000000002	10.9		24.46875	26.2
	12.675	12.5		24.218749999999996	29.4
	13.106250000000001	15.9		24.775	30
	14.074999999999998	15.4		26.793750000000006	30.7
	14.656250000000002	16.6		27.087500000000002	32.2
	14.612499999999997	16.2		27.587499999999995	29.8
May	15.25625	15.1		26.787500000000005	28.7
	15.08125	14.3		26.15	30.2
	15.21875	16.5		27.2375	29.7
	16.049999999999997	17.2		28.400000000000002	20.1
	15.818750000000001	16.8		29.006249999999998	19.1
	16.26875	16.8		28.568749999999998	21.5
	15.675	14.9		28.63125	27.5
	16.375	15.9		27.7375	26.9
	15.825000000000003	17.9		28.2625	26.6
	16.4375	17		28.2625	24.3
	16.26875	17.8		29.137500000000003	23.7
	16.831249999999997	18.5		27.81875	20.8
	17.343750000000004	18.4		29.193749999999994	25.8
	17.56875	20		29.218749999999996	31.9
	17.21875	18.1		29.51875	30.5
	18.224999999999998	18.8		29.868750000000002	32
	18.05	17.9		28.987499999999997	31.1
	17.66875	19.3		29.706250000000004	31.8
	17.762499999999996	16.8		30.0375	33.1
	18.237499999999997	19.1		30.174999999999997	33.2
	18.168750000000003	20.2		30.125	32.2
	17.975	18.3		31.156250000000004	31.2
	18.96875	17		30.668750000000003	31.5
	19.193749999999998	19		31.393749999999997	26.6
	20.01875	18.1		31.78125	28.4
	19.81875	17.2		30.881250000000005	32
	19.78125	17.7		29.39375	31.9
	19.28125	19		30.7625	33.2
	19.356250000000003	21		32.025000000000006	35
	20.025	21.4		31.375000000000004	33.8
	19.618750000000002	20.1		31.637500000000006	28.8
Jun.	20.575000000000003	18.9		32.3375	29
	20.675	18.3		31.556250000000002	31.4
	21.24375	19.7		31.275000000000002	33.2
	21.349999999999998	22		31.200000000000003	33.9
	20.7375	19.9		30.35625	22.8
	20.593750000000004	19.3		31.493750000000002	31.9
	21.181250000000002	23.2		32.575	29.3
	21.393749999999997	19.8		32.88125	26.3
	21.937499999999996	18.4		31.593749999999996	27.7
	21.218750000000004	18.7		30.97499999999999	32
	20.65	19.8		29.493749999999995	33.4
	20.55	17.7		29.825	30.9
	21.2125	19.7		31.55	34.4
	22.05625	21.2		31.900000000000002	34.8
	21.66875	20.9		30.912499999999994	32.9
	22.268749999999997	22.4		31.799999999999997	34.7
	22.43125	21.4		31.587499999999995	31
	22.88125	22.1		32.09375	34.4
	22.743750000000002	21.2		31.3625	26.8
	22.80625	19.9		31.931250000000002	31
	22.387500000000006	23.1		30.93125	33.1
	22.675	23.8		31.112500000000004	33.7
	22.60625	20.4		31.162499999999998	23.8
	22.475000000000005	20.5		31.849999999999998	33.5
	22.749999999999996	24.6		30.98125	34.5
	23.093749999999996	25.3		30.775	34.8
	23.05625	24.1		32.131249999999994	35.3
	23.35	24.4		32.00625	28
	23.19375	24.7		32.275000000000006	25.7
	23.356250000000003	25.1		32.262499999999996	33.2
Jul.	22.925000000000004	23.7		31.14999999999999	28.3
	22.281250000000004	24.1		30.412499999999994	30.5
	22.143750000000004	20.8		30.3125	25.6
	22.7	21.6		30.20625	29
	22.96875	21.4		30.387500000000003	28.8
	23.14375	20.3		30.556250000000002	27.5
	23.206249999999997	20.5		32.1	32.2
	24.01875	21.4		33.09375	29.6
	24.275000000000002	23.1		31.725	32.1
	24.081250000000004	22.5		33.09374999999999	31.2
	24.3125	23.3		32.6875	33.7
	24.243750000000002	24.8		32.324999999999996	33.6
	23.91875	25.5		31.393750000000004	32.6
	23.775	25.6		31.500000000000004	33
	23.987500000000004	25.3		31.78125	32.7
	24.243750000000002	25		32.51250000000001	33.6
	24.349999999999998	25.2		32.25	33.9
	24.443749999999998	25.4		32.13125	34.5
	24.1	26.5		31.968749999999993	34.7
	23.93125	25.7		32.28750000000001	35
	24.424999999999997	24		32.4125	32.7
	24.531249999999996	22.9		32.55624999999999	31.6
	24.206249999999994	22.5		31.693750000000005	33.1
	23.5375	24.1		30.943749999999998	33.9
	23.681250000000002			31.725000000000005
	23.593750000000004		20.9	30.66875		30.5
	23.3125		23.6	31.01875		25.8
	23.4875		24.2	31.212500000000006		25.4
	23.25		24.2	31.287499999999998		27.5
	23.493750000000002		24.5	30.7875		27.9
	23.025000000000002		21.5	31.200000000000003		25.8
Aug.	23.068749999999994		19.4	30.993750000000002		27.3
	22.76875		21.5	31.218749999999996		30.2
	22.31875		22.3	31.081250000000004		31.1
	22.49375		22.5	30.549999999999997		30.8
	22.362500000000004		22.6	30.225000000000005		30.1
	22.125		21.8	29.931250000000002		29.4
	21.625		21.3	30.093749999999996		29.6
	21.84375		21.7	30.16875		30.2
	21.362499999999997		21.2	29.106250000000003		29.3
	20.568749999999998		20.7	29.212500000000002		29.1
	20.45		20.6	28.94375		28.7
	20.118750000000002		20	28.681250000000002		28.1
	19.95		19.8	26.612499999999997		26.9
	19.96875		20.1	28.01875		28.6
	20.00625		19.5	28.237499999999997		28
	19.26875		19.1	28.01875		27.9
	19.1375		19.2	28.424999999999997		28.6
	19.41875		19.3	28.974999999999998		28.7
	19.537499999999994		19.1	28.4375		27.9
	19.04375		18.7	27.98125		27.3
	18.8375		18.8	26.956250000000004		27.6
	18.681249999999995		19.2	28.23125		28.6
	19.200000000000006		19.4	28.174999999999997		28
	19.13125		18.7	28.175		27.5
	18.54375		18.4	27.193750000000005		27.2
	18.475			27.29375
	18.53125			28.056250000000006
	18.425			27.531250000000004
	18.631249999999998			26.09375
	18.243750000000002			27.275000000000002
	18.818749999999998			27.0375
Sep.	18.337500000000002			26.381250000000005
	18.124999999999996			26.581249999999997
	17.406249999999996			25.85
	17.3			26.212500000000002
	16.900000000000002			25.943749999999998
	16.937499999999996			25.9625
	16.437500000000004			27.131249999999998
	16.4625			25.5
	15.95			25.562499999999996
	16.181250000000002			24.906250000000004
	16.112499999999997			24.83125
	16.38125			25.287499999999998
	16.96875			25.3125
	16.593749999999996			24.36875
	15.818749999999998			24.912499999999998
	15.043750000000003			24.868749999999995
	15.10625			24.693749999999994
	15.087499999999999			24.293750000000003
	14.193750000000003			23.568749999999998
	13.7			23.2625
	13.2			21.98125
	13.0875			22.275000000000002
	13.35			21.556250000000002
	13.8125			23.08125
	13.587499999999999			23.34375
	13.224999999999998			22.137500000000003
	12.450000000000001			21.768750000000004
	12.631250000000001			21.400000000000002
	12.5625			21.875000000000007
	12.4125			22.006249999999998
Oct.	12.05			21.00625
	12.012499999999998			21.425
	11.85625			20.6375
	11.000000000000002			20.456250000000004
	10.73125			20.437499999999996
	10.4375			19.5
	10.743749999999999			20.19375
	11.19375			20.731249999999996
	10.6125			19.8
	9.768749999999999			19.606249999999996
	9.499999999999998			18.70625
	9.375			18.71875
	9.049999999999999			18.943749999999998
	9.78125			19.79375
	9.1625			18.912500000000005
	9.331249999999999			19.08125
	9.106250000000001			18.86875
	9.718750000000002			18.375000000000004
	9.06875			18.50625
	8.31875			18.18125
	8.025			17.581249999999997
	8.000000000000002			17.025
	8.00625			16.825000000000003
	7.306250000000001			16.01875
	6.65			15.375
	6.6875			15.943750000000001
	6.13125			15.568750000000001
	7.09375			15.06875
	6.60625			15.831249999999999
	6.168749999999999			15.262500000000001
	5.843750000000001			15.574999999999998
Nov.	6.187500000000001			15.8
	5.70625			14.6625
	5.7562500000000005			14.293749999999998
	4.39375			13.537500000000001
	5.012499999999999			13.5875
	4.95625			14.099999999999998
	5.38125			13.743749999999999
	4.8625			12.806250000000004
	3.2875			10.668749999999998
	1.35			9.787500000000001
	1.6250000000000002			10.700000000000001
	1.7249999999999999			9.825
	1.9437499999999999			10.424999999999999
	2.5312500000000004			10.85625
	1.7624999999999997			9.94375
	0.2875000000000001			8.83125
	0.36250000000000004			8.85625
	0.175			9.006250000000001
	0.01250000000000008			9.01875
	-0.07500000000000005			9.137500000000001
	0.3625			9.756250000000001
	-0.29375			8.987499999999999
	-0.58125			8.78125
	-0.09375000000000006			8.812500000000002
	0.26875000000000004			8.93125
	-0.24374999999999997			8.193749999999998
	-1.2000000000000002			6.556249999999999
	-1.75625			6.70625
	-1.7562499999999999			7.03125
	-1.31875			6.575
Dec.	-1.0437500000000002			6.15625
	-2.00625			5.01875
	-3.1625			5.225
	-2.48125			6.456249999999998
	-1.8312499999999998			7.0375000000000005
	-2.55			6.106249999999999
	-1.9374999999999998			6.925
	-1.3812499999999999			6.4750000000000005
	-1.7374999999999996			6.35
	-2.8687499999999995			5.231249999999999
	-2.96875			5.08125
	-2.9999999999999996			5.2125
	-3.1			5.581249999999999
	-2.1062499999999997			6.381249999999999
	-2.13125			6.887500000000001
	-3.43125			5.675
	-4.420000000000001			4.326666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

35°C

Highest Temp

11 Jul. 26

-12°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthAugust33.64°C

Coldest MonthJanuary-2.76°C

Wettest MonthJuly10.61mm

Windiest MonthMay21.47km/h

Linyi 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 Linyi historically?

July is historically Linyi's hottest month, with average maximum temperatures around 32°C. During peak heatwave events, the highest recorded temperatures have reached 42°C on 2025-07-06.

2. What is the coldest month in Linyi historically?

January is Linyi's coldest month, with average minimum temperatures around -3°C. The all-time record low of -15°C was recorded on 2021-01-07.

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

Linyi's average annual rainfall is approximately 879.7mm, based on records spanning 17 years.

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

Linyi historically records approximately 119 rainy days per year. July has the highest number of rain days at an average of 21.05 days.

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

The all-time highest temperature recorded in Linyi is 42°C on 2025-07-06.

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

The all-time lowest temperature recorded in Linyi is -15°C on 2021-01-07.

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

Linyi experiences its strongest winds during April. The historic gust record of 48.6 kph was recorded on 2025-04-30.

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

Usually, Linyi's humidity peaks in August at around 81.8% and drops to its lowest in March at approximately 50.9%.

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

Linyi 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

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

Linyi 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

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