Donghua Historic Weather Records
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Donghua Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-4.2125	-11.5		5.90625	0.7
	-4.15	-11.1		5.6375	1.2
	-4.893750000000001	-6.9		5.56875	3.4
	-3.98125	-10.1		4.737500000000001	2.1
	-4.2625	-9.2		3.8187499999999996	-1.3
	-4.54375	-9.2		3.3812499999999996	0.4
	-4.418749999999999	-9.1		4.5125	6.6
	-4.95	-8.3		5.325	4.4
	-5.125000000000001	-6		4.312499999999999	10.4
	-4.875	-7.3		4.3812500000000005	5.5
	-5.387499999999999	-8.5		5.69375	5.2
	-4.01875	-5.2		5.95625	11.4
	-4.05	-3.5		6.249999999999999	8.7
	-3.9499999999999997	1.6		5.59375	10.9
Jan.	-4.1000000000000005	-3.1		4.612500000000001	13.9
	-4.656250000000001	-5		4.593750000000001	8.8
	-4.68125	-4.9		5.40625	7.7
	-4.33125	-1.6		6.175	4.2
	-4.15625	-2.6		5.699999999999998	2.1
	-3.6624999999999996	-11.5		4.3500000000000005	-1
	-3.8937499999999994	-11.9		5.062500000000001	-0.5
	-4.76875	-6.8		4.8374999999999995	4.9
	-4.8	-5.8		4.375	8.2
	-4.343750000000001	-5.1		3.4374999999999996	7.8
	-5.19375	-3.2		4.5125	6.6
	-4.425	-3.5		4.043749999999999	7.3
	-5.393750000000001	-3.7		3.9812499999999997	7.7
	-4.768750000000001	-3.1		4	8.6
	-5.00625	-2.1		5.812499999999999	3
	-4.35625	-4.9		5.793749999999999	3.7
	-4.56875	-5.5		5.34375	6.4
	-3.85	-3.6		5.6	7.8
	-3.7687499999999994	-3.7		5.8687499999999995	7.6
	-3.54375	-3.4		6.749999999999999	9.4
	-3.5375	-1.3		6.906249999999999	10.6
	-3.2937499999999997	-0.8		7.1	8.9
	-2.9812499999999997	-1.6		6.4875	10.3
	-3.075	-5.3		5.512500000000002	5.4
	-4.0125	-6.2		5.906250000000001	6.9
	-4.1937500000000005	-3		6.1812499999999995	10.7
	-3.4	-4.2		6.462500000000001	10.4
	-3.125	-3.5		7.762500000000002	9.3
	-2.48125	-1.1		8.44375	12.1
	-2.60625	0.6		7.5	18.4
	-2.2750000000000004	2		7.237499999999999	18.4
Feb.	-2.61875	-1.1		7.125	6.6
	-2.5	-1.5		8.237499999999999	7
	-1.9374999999999996	-5.1		7.5375	9.3
	-2.25625	-1.2		7.3812500000000005	11.9
	-2.4375	0.2		8.81875	16.4
	-2.2625	2.8		7.7875	22.2
	-2.11875	4.5		7.9	18.4
	-2.05	1.4		9.556249999999997	13.5
	-0.9937499999999998	-1.1		10.187499999999998	8
	-1.6312499999999999	-3.1		10.731250000000001	13.2
	-0.5999999999999999	0		10.450000000000001	9.8
	-0.06250000000000006	0.6		9.39375	15
	-0.43125	2.2		10.924999999999999	14.1
	0.23124999999999993	4.8		9.6375	9.8
	-0.38750000000000007	3.1		9.981250000000001	4.7
	-0.16875	0.3		10.075000000000001	7.1
	-0.75625	-0.1		12.218749999999998	15.1
	-0.1999999999999999	1.3		11.306249999999999	17.1
	-0.08125000000000007	2.5		11.025	15.3
	0.74375	3.5		11.225000000000001	11.2
	0.3687500000000001	4.1		12.893749999999999	5.1
	0.53125	4.5		13.225000000000001	10.8
	1.0312500000000002	1.6		12.168750000000001	16.6
	1.0937500000000002	2.3		12.4375	21.6
	1.05625	4.9		14.4	18.6
	1.5562500000000001	1.9		15.718749999999998	16
	1.8500000000000003	4.2		15.649999999999999	12.7
	2.80625	2.5		15.04375	5.5
Mar.	2.81875	-4.2		15.075	7.8
	2.6000000000000005	-2.3		14.087500000000002	11
	2.437499999999999	0.7		14.3625	8
	3.0437500000000006	0.9		15.762500000000001	9.9
	3.4374999999999996	-1.2		15.73125	9.3
	2.28125	1.3		14.912500000000001	16.8
	2.65	3.3		14.962500000000002	16.6
	3.2375	1.3		15.081250000000002	15.2
	3.2749999999999995	8.2		15.856250000000001	12.5
	3.79375	2.2		15.425	19.2
	3.6312500000000005	6.1		15.9625	18.4
	3.2249999999999996	6.3		17.693749999999998	21.1
	3.575	6.4		17.78125	21.2
	3.34375	9		18.43125	20.6
	5.40625	6.4		17.71875	18.4
	5.775	4.2		17.4625	16.6
	5.943750000000001	4.3		17.218750000000004	20.3
	4.456250000000001	5.7		18.7	23.5
	5.9125	9.2		17.20625	19.1
	5.887499999999999	8.2		16.349999999999998	20.8
	5.856249999999999	6		16.3625	20.7
	5.11875	7.8		17.387499999999996	23.4
	5.1625000000000005	7.5		17.125	21.3
	5.737500000000001	7.7		18.518749999999997	20.8
	6.724999999999999	7.7		19.95	16.5
	6.43125	7		20.65	25.3
	7.7375	8.3		19.712500000000002	21.9
	7.737499999999999	7.2		18.45625	17.6
	6.0687500000000005	7.2		18.424999999999997	20.9
	6.006249999999999	7.4		18.718749999999996	22
	6.2875000000000005	8.1		19.3875	22.8
Apr.	6.668750000000001	7.8		20.86875	19.5
	7.581250000000001	6.9		22.556250000000002	20.6
	8.131250000000001	7.4		22.88125	24.8
	9.481250000000001	8.2		21.862500000000004	26.8
	8.0125	8.8		20.7375	15.9
	8.5	2.6		20.3875	15.7
	8.081249999999999	4.9		20.05	7.9
	7.3187500000000005	2.4		19.775	18.3
	6.906249999999998	5.2		21.01875	22.1
	8.26875	8.8		20.799999999999997	24.7
	7.4312499999999995	8.9		21.8125	26.1
	8.137500000000001	11		22.6875	27.5
	7.793749999999998	11.5		23.531250000000004	19.8
	8.29375	8.6		23.675	23.3
	8.71875	5		25.14375	19.9
	9.95	6.1		25	23.1
	9.825	9.9		23.556250000000002	12.6
	9.850000000000001	6.6		24.01875	20.3
	10.2375	5.3		22.143750000000004	22.2
	10.65625	6.8		23.90625	26.1
	10.28125	7.2		23.325	28.7
	9.85625	9		24.137500000000003	20.8
	10.037500000000001	7.7		22.293749999999996	20.6
	10.74375	7.6		22.44375	22.3
	10.962499999999999	7.9		22.10625	29.1
	9.54375	12.7		22.631249999999998	30.9
	9.837500000000002	14		26.087499999999995	31.5
	10.875000000000002	13.2		25.293749999999996	28.5
	11.399999999999999	9.8		24.474999999999998	18.7
	11.34375	9.6		22.26875	24.5
May	10.393749999999999	12.8		24.675000000000004	18.4
	11.362499999999999	13.4		25.175	23.8
	11.525	12.9		25.925000000000004	18.8
	12.1875	10.6		27.4375	24.1
	13.28125	10.2		27.762500000000003	21.8
	13.343750000000002	8.8		26.08125	25.6
	12.631250000000001	13.6		25.068749999999998	21.9
	12.200000000000003	10.9		25.375000000000004	25.4
	11.975	13.7		25.4375	18.3
	12.218750000000002	15		26.1625	18.1
	13.068749999999998	11		24.96875	26
	12.6875	15.3		24.718750000000004	27.7
	12.112499999999999	12.9		26.06875	17.2
	12.85	10.5		25.006249999999994	20.8
	12.5375	11.8		24.7125	25.7
	12.3875	10.9		26.474999999999998	28.6
	13.050000000000002	12.6		26.600000000000005	29
	13.85625	14.6		26.456249999999997	29.3
	13.293750000000003	14.7		26.731250000000003	30.5
	13.90625	16.7		25.406249999999996	33.5
	13.318750000000001	15.3		26.731250000000003	31.1
	14.006250000000001	12.9		28.706249999999997	30.8
	13.662500000000001	9.4		29.849999999999998	21
	15.031249999999998	9.5		28.162500000000005	21
	14.949999999999998	9.9		28.662500000000005	25.6
	15.187499999999998	11.7		27.14375	26.4
	13.88125	12.2		29.34375	28.5
	15.562500000000002	14.2		29.8375	29.2
	16.00625	12.1		28.906250000000007	29.5
	15.487500000000002	13.9		30.24375	33.4
	16.23125	16.6		30.237499999999997	32.6
Jun.	16.375000000000004	14.6		30	32.1
	16.31875	15.5		28.956249999999997	30.6
	15.637499999999998	16.5		28.131249999999998	27.7
	16.3125	12.5		28.631249999999998	21.5
	16.349999999999998	12		29.518750000000004	31
	17.0875	16.6		28.337500000000006	22.6
	16.887500000000003	12.1		29.46875	17.2
	17.54375	10.7		29.1625	24.7
	17.256249999999998	11.8		30.61875	26.6
	17.24375	14.9		29.581249999999997	26.3
	16.48125	16.9		29.793749999999996	25.4
	17.456249999999997	17.1		28.143749999999997	30.8
	17.5	15.5		29.218749999999993	34.2
	17.1875	16.5		29.5375	32.1
	17.068749999999998	16.8		30.975	32.7
	17.75625	16.1		30.75	36.6
	18.050000000000004	16.3		30.95625	31.5
	18.025	15.7		28.737500000000004	30.6
	17.693750000000005	14.6		29.368750000000006	31.8
	17.88125	15.7		29.225000000000005	36.4
	17.925	17		30.231249999999992	38.6
	18.025	19		31.656250000000004	35.5
	17.76875	16.8		32.14375	36.7
	18.64375	18.5		30.506249999999994	39.2
	18.8125	20		29.343750000000004	38.5
	18.568749999999998	19.9		30.35	35.3
	18.95	20.3		30.193749999999998	27.2
	19.193749999999998	19.3		30.874999999999993	30.7
	18.45	18.2		30.4125	37.3
	18.737499999999997	20.5		31.043750000000003	30.6
Jul.	18.58125	16.3		29.4375	33.1
	17.95625	18		30.33125	31.4
	18.131249999999998	14.4		29.725	35.7
	18.887500000000003	18.6		30.21875	31.8
	18.725	16.2		29.400000000000006	37.1
	18.9375	18		31.168749999999996	36.8
	19.1375	18.3		30.412499999999998	35.6
	19.275000000000002	15.1		30.275	37.8
	18.849999999999998	16.3		30.056250000000002	37.5
	18.9375	17.3		30.331250000000004	36.4
	19.4375	18.6		31.462500000000002	34.6
	20.1875	17.8		31.987499999999997	33.2
	19.7	16.9		32.118750000000006	31.4
	19.362499999999997	16.4		31.49375	29
	19.693749999999994	17.2		30.868750000000002	30.8
	18.6125	17.3		32.44375	29.9
	19.375	18.8		32.075	26
	19.88125	15.7		32.68749999999999	25.1
	20.250000000000004	15.7		32.0125	19.9
	20.031249999999996	12.5		32.46874999999999	27.9
	20.049999999999997	13.1		30.712500000000006	29.3
	19.556250000000002	16.2		30.89375	27.2
	19.05625	16.9		31.668749999999996	28.4
	19.256250000000005	15.6		29.706249999999997	28.5
	19.3375		16.5	29.831250000000004		28.7
	18.718750000000004		18	30.44375		28.7
	19		17.8	30.96875		29.2
	19.337500000000002		17.4	31.124999999999996		31.7
	19.056250000000002		14.5	30.462500000000002		30
	18.69375		15.9	31.025000000000002		26.2
	18.5625		14.8	30.762499999999996		26.9
Aug.	18.5125		14.2	31.374999999999996		27.5
	19.1125		19.2	30.212500000000002		29.8
	19.78125		19.7	29.806250000000002		29.8
	19.04375		18.9	29.49375		29
	18.6875		18.3	28.68125		28.7
	18.431250000000002		18.4	29.087499999999995		29
	18.43125		18	28.818749999999998		28.2
	17.34375		17.4	28.48125		28
	16.975		17.1	28.63125		28.6
	16.9125		17.1	28.474999999999998		29.1
	17.418750000000003		17.2	27.843749999999996		27.6
	16.65625		16.4	27.050000000000004		26.7
	15.9875		15.8	26.88125		27
	15.743750000000002		15.8	25.78125		25.9
	15.64375		15.6	26.968749999999996		26.5
	15.9		15.8	26.493750000000002		26
	15.806250000000002		15.7	27.012500000000003		27.5
	16.2875		16	26.59375		26.5
	15.506250000000001		15.2	25.76875		26
	15.36875		15.6	25.793749999999996		25.6
	15.668749999999998		15.9	25.95		25.7
	15.031249999999998		15.3	24.7875		24.6
	14.837499999999997		15	25.625000000000004		26
	15.143749999999999		14.9	26.306250000000002		26.1
	15.425000000000002			26.256250000000005
	16.01875			25.75
	15.212499999999999			24.618750000000002
	14.00625			24.75625
	13.962499999999999			25.88125
	14.324999999999998			23.8875
	13.756250000000001			23.806250000000002
Sep.	14.399999999999999			23.737499999999997
	14.406250000000002			23.10625
	13.987499999999999			22.424999999999997
	13.337500000000002			22.450000000000003
	13.381249999999996			22.806250000000002
	12.943750000000003			23.96875
	12.775			22.568749999999998
	12.13125			21.35625
	11.531250000000002			20.824999999999996
	11.418750000000001			21.6125
	12.043750000000001			21.631249999999994
	11.906249999999998			21.75625
	12.743749999999999			21.356250000000003
	11.98125			22.2
	11.843749999999998			22.724999999999998
	11.681250000000004			22.243750000000006
	11.725			21.425000000000004
	10.700000000000001			21.362499999999997
	10.374999999999998			19.8125
	10.068749999999998			19.525
	9.162500000000001			18.4375
	9.275			17.74375
	9.093749999999998			18.91875
	9.43125			18.91875
	9.05			18.25625
	7.8999999999999995			17.874999999999996
	7.656250000000001			17.368750000000002
	8.725000000000003			16.98125
	8.787500000000001			17.6125
	7.98125			18.674999999999997
Oct.	8.28125			18.33125
	8.075			18.243750000000002
	7.856249999999999			18.318749999999998
	7.775			18.456249999999997
	7.800000000000001			17.94375
	7.575			18.018749999999997
	7.20625			18.59375
	7.3062499999999995			16.88125
	7.518750000000001			17.81875
	6.618750000000001			15.774999999999999
	6.91875			16.318749999999998
	6.33125			16.681250000000002
	6.8375			16.981250000000003
	6.33125			16.5625
	5.95625			16.049999999999997
	5.475			16.6
	6.418749999999999			16.05
	6.20625			16.075
	5.56875			16.787499999999998
	5.59375			16.5
	5.74375			14.74375
	5.7250000000000005			14.706250000000002
	4.65625			14.86875
	3.849999999999999			13.562499999999998
	3.3375			13.90625
	3.9437500000000005			13.456249999999995
	3.875			13.543750000000003
	2.93125			12.825
	2.6625			12.856250000000001
	2.3187499999999996			13.675
	2.9999999999999996			13.756250000000001
Nov.	2.9437499999999996			13.381250000000001
	1.925			12.087500000000002
	1.90625			12.424999999999999
	1.6062500000000002			12.400000000000002
	0.5499999999999999			13.581249999999999
	1.70625			12.312500000000002
	2.08125			10.88125
	0.7375			11.06875
	0.03125000000000006			8.90625
	-1.03125			9.30625
	-1.2375			10.256249999999998
	-0.6000000000000001			10.499999999999998
	-0.3375000000000001			10.2875
	-0.6625000000000001			10.243749999999999
	-0.71875			9.10625
	-1.8749999999999998			8.05625
	-2.5875			8.0375
	-2.44375			9.662500000000001
	-1.6			8.76875
	-1.91875			9.0875
	-1.4687500000000002			8.73125
	-1.7875			8.256250000000001
	-2.18125			8.5875
	-1.8124999999999996			8.01875
	-2.61875			8.15
	-2.125			7.0249999999999995
	-2.21875			6.343749999999999
	-3.4875			6.14375
	-3.0874999999999995			6.418749999999999
	-3.30625			5.4437500000000005
Dec.	-3.6500000000000004			4.55625
	-4.4125000000000005			6.28125
	-4.16875			6.306250000000001
	-3.6374999999999997			7.2
	-3.625000000000001			6.3875
	-3.6500000000000004			6.175
	-3.4312500000000004			6.5687500000000005
	-3.4749999999999996			6.09375
	-3.5562500000000004			5.48125
	-4.3999999999999995			4.75625
	-3.81875			4.91875
	-4.543749999999999			5.262500000000001
	-4.40625			5.43125
	-4.4875			5.8374999999999995
	-4.65625			5.1812499999999995
	-4.44375			4.875
	-5.42			4.506666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

39°C

Highest Temp

8 Jul. 26

-12°C

Lowest Temp

21 Jan. 26

Seasonal Breakdown

Hottest MonthJuly33.81°C

Coldest MonthJanuary-6.08°C

Wettest MonthJuly3.4mm

Windiest MonthApril16.93km/h

Donghua 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 Donghua historically?

July is historically Donghua's hottest month, with average maximum temperatures around 31°C. During peak heatwave events, the highest recorded temperatures have reached 41°C on 2025-08-03.

2. What is the coldest month in Donghua historically?

January is Donghua's coldest month, with average minimum temperatures around -5°C. The all-time record low of -18°C was recorded on 2018-01-08.

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

Donghua's average annual rainfall is approximately 761.8mm, based on records spanning 17 years.

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

Donghua historically records approximately 140.8 rainy days per year. September has the highest number of rain days at an average of 17.2 days.

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

The all-time highest temperature recorded in Donghua is 41°C on 2025-08-03.

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

The all-time lowest temperature recorded in Donghua is -18°C on 2018-01-08.

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

Donghua experiences its strongest winds during April. The historic gust record of 33.1 kph was recorded on 2026-04-19.

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

Usually, Donghua's humidity peaks in September at around 71.5% and drops to its lowest in December at approximately 47.5%.

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

Donghua 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

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

Donghua 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

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