Singapore climate exposure

Singapore Climate Exposure: Tropical Marine Conditions for Global Products

Singapore is a severe humid tropical reference location for moisture-sensitive products, outdoor electronics and corrosion-relevant qualification.

Climate exposure summary
CE-5Tropical Marine Exposure
  • Very high humidity exposure
  • Elevated condensation potential
  • Increased corrosion risk

Corrosion is the primary stressor. Humidity is the secondary driver for reliability and field durability decisions.

CE classes describe overall environmental severity and are not equivalent to ISO corrosivity classes.

Dominant mechanismsPersistent humidityMarine influenceCorrosion-relevant wetness
Humid TropicalHigh humidityElevated marine exposure
Singapore1.352, 103.820
Engineering Climate Fingerprint™

Singapore environmental load barcode.

A normalized 0-100 matrix showing which exposure mechanisms dominate the deployment environment. Scores describe environmental load intensity, not failure probability.

ECF patternPrimary: Pollution · Secondary: Humidity
Humidity77High
Condensation47Moderate
Thermal6Minimal
Marine58Moderate
Pollution87Severe
Freeze0Minimal
Humidity: RH80, RH90 and absolute humidityCondensation: Dew-point margin and near-condensation hoursThermal: Heat hours and temperature cyclesMarine: Coastline distance and chloride proxyPollution: MERRA-2 sulfate plus NO2, PM and aerosol contextFreeze: Frost hours and freeze-thaw relevance
Typical Applications

Equipment categories where this climate profile is relevant.

ElectronicsBESSTelecomData CentersOutdoor ElectronicsPower Electronics
Why this climate matters

Why Singapore climate matters

Singapore represents one of the world's most severe environments for moisture-sensitive products.

The climate has limited seasonal relief: high humidity, high dew points and warm temperatures persist through the year, reducing drying potential for enclosures and electronics.

For global products, Singapore is a useful severe-screening location because it combines tropical moisture stress with coastal and urban atmospheric context.

Engineering metrics

Exposure metrics that matter before deployment.

Climetry-derived indicators summarize environmental severity. ISO-derived indicators estimate material-related atmospheric corrosivity for metals such as carbon steel, zinc, copper and aluminum.

Climate Exposure SummaryTropical marine exposure

Persistent humidity with coastal corrosion relevance.

Corrosion RiskSevere

Marine humidity is the dominant durability stressor.

Condensation RiskModerate

Frequent near-saturation conditions, especially overnight.

RH80 Hours6,596 h/year

CEY10 hourly representative-year hours above the common wetness threshold.

RH90 Hours3,470 h/year

CEY10 high-humidity extremes relevant for electronics and coatings.

Climate ClassificationHumid Tropical

Warm and moist climate with limited seasonal relief.

Monthly climate profile

Singapore thermodynamic exposure by month.

Monthly mean values of the core thermodynamic variables. Only the monthly means are shown, without a spread or range.

The source and period of these monthly means are not documented on this page yet; they are not presented as CEY10 output.

Relative humidity

84 % average of the monthly means

Persistent high humidity with only small seasonal relief.

Jan 84 %, Feb 83 %, Mar 82 %, Apr 83 %, May 84 %, Jun 84 %, Jul 83 %, Aug 83 %, Sep 84 %, Oct 85 %, Nov 86 %, Dec 86 %82 %84 %86 %JanFebMarAprMayJunJulAugSepOctNovDecJan: 84 %Feb: 83 %Mar: 82 %Apr: 83 %May: 84 %Jun: 84 %Jul: 83 %Aug: 83 %Sep: 84 %Oct: 85 %Nov: 86 %Dec: 86 %
Monthly mean
Air temperature

27.2 C average of the monthly means

Stable tropical temperatures; heat is continuous rather than seasonal.

Jan 26.5 C, Feb 27.0 C, Mar 27.4 C, Apr 27.8 C, May 28.0 C, Jun 27.7 C, Jul 27.4 C, Aug 27.4 C, Sep 27.2 C, Oct 27.0 C, Nov 26.8 C, Dec 26.5 C26.3 C27.3 C28.2 CJanFebMarAprMayJunJulAugSepOctNovDecJan: 26.5 CFeb: 27.0 CMar: 27.4 CApr: 27.8 CMay: 28.0 CJun: 27.7 CJul: 27.4 CAug: 27.4 CSep: 27.2 COct: 27.0 CNov: 26.8 CDec: 26.5 C
Monthly mean
Absolute humidity

21.8 g/m3 average of the monthly means

High moisture content year-round, relevant for enclosure drying potential.

Jan 21.0 g/m3, Feb 21.4 g/m3, Mar 22.0 g/m3, Apr 22.5 g/m3, May 22.7 g/m3, Jun 22.3 g/m3, Jul 21.9 g/m3, Aug 21.8 g/m3, Sep 21.9 g/m3, Oct 21.7 g/m3, Nov 21.4 g/m3, Dec 21.1 g/m320.8 g/m321.9 g/m322.9 g/m3JanFebMarAprMayJunJulAugSepOctNovDecJan: 21.0 g/m3Feb: 21.4 g/m3Mar: 22.0 g/m3Apr: 22.5 g/m3May: 22.7 g/m3Jun: 22.3 g/m3Jul: 21.9 g/m3Aug: 21.8 g/m3Sep: 21.9 g/m3Oct: 21.7 g/m3Nov: 21.4 g/m3Dec: 21.1 g/m3
Monthly mean
Dew point

24.0 C average of the monthly means

Dew point remains close to air temperature, increasing moisture stress.

Jan 23.5 C, Feb 23.8 C, Mar 24.1 C, Apr 24.4 C, May 24.6 C, Jun 24.4 C, Jul 24.1 C, Aug 24.0 C, Sep 24.0 C, Oct 23.9 C, Nov 23.8 C, Dec 23.6 C23.4 C24.1 C24.7 CJanFebMarAprMayJunJulAugSepOctNovDecJan: 23.5 CFeb: 23.8 CMar: 24.1 CApr: 24.4 CMay: 24.6 CJun: 24.4 CJul: 24.1 CAug: 24.0 CSep: 24.0 COct: 23.9 CNov: 23.8 CDec: 23.6 C
Monthly mean
Hourly CEY engineering statistics

Singapore representative-year diagrams.

These figures are calculated from the local hourly Climetry Environmental Year and translate thermodynamic climate data into engineering-readable duration, cycle and moisture-risk views.

Singapore CEY10 temperature duration

CEY10 temperature duration

The Singapore CEY remains tightly tropical, with most exposure hours in the mid-to-high 20s C. This supports warm-operation reliability screening rather than freeze or seasonal heating design.

Singapore CEY10 relative humidity duration

CEY10 relative humidity duration

Humidity exposure is concentrated in high RH bands. The result highlights persistent moisture load and limited natural drying potential for outdoor electronics and enclosures.

Singapore Temperature x RH occurrence

Temperature x RH occurrence

Warm temperature and high relative humidity occur together for a large share of the representative year. This paired exposure is more relevant for corrosion and electronics stress than either variable alone.

Singapore Psychrometric moisture density

Psychrometric moisture density

Absolute humidity stays high across the warm operating range, indicating a high moisture reservoir around exposed products and slow drying conditions after wetting.

Singapore P05 / P50 / P95 thermodynamic profile

P05 / P50 / P95 thermodynamic profile

The percentile bands show limited seasonal relief: even lower-percentile conditions remain warm and humid compared with temperate engineering baselines.

Singapore Representative moisture-risk week

Representative moisture-risk week

The selected high-risk week combines elevated humidity, high absolute humidity and small dew-point spread. It is useful for condensation and moisture-ingress screening.

Singapore Daily temperature cycle histogram

Daily temperature cycle histogram

Daily temperature cycling is low compared with continental locations, but the metric remains useful for enclosure breathing, gasket stress and thermomechanical reliability review.

Singapore Heating-design cold-week histogram

Heating-design cold-week histogram

Singapore's cold-week histogram remains tropical. Heating-load relevance is low here, while the same method becomes important for temperate and cold deployment regions.

Definitions

Terms used on this page.

CE class

A Climetry Exposure Class is a location-based environmental severity class for durability screening.

CE classes summarize humidity, condensation potential, marine influence, pollution context and thermal exposure. They are not ISO 9223 corrosivity classes.

RH80 exposure

RH80 exposure is the number of hours where relative humidity is at least 80%.

It is useful for identifying persistent moisture exposure relevant to electronics, coatings, connectors, enclosures and atmospheric corrosion screening.

Condensation potential

Condensation potential indicates conditions where surface wetting risk is elevated.

It is derived from temperature, dew point and humidity context. It is a screening indicator, not a measurement on a specific product surface.

CAMS atmospheric aggressiveness

Pollution and chloride modifiers for corrosion screening.

Monthly atmospheric composition is translated into transparent screening ratings for marine aerosol, pollution, chloride proxy, and regional sulfur-deposition context.

Marine AerosolModerate

CAMS marine aerosol is moderate, while coastline distance still keeps chloride relevant.

Pollution ModifierSevere

Urban sulfate background, NO2, sulphate and PM proxies are strong modifiers.

Chloride ProxyS1

ISO-style chloride input proxy blended from coastline guardrail and CAMS marine aerosol.

MERRA-2 Sulfate9.2 mg/m2/day

Annual wet+dry sulfate deposition background sampled from MERRA-2.

Sulfate RoleIndependent context

MERRA-2 sulfate describes regional deposition context. Live ISO-9223-style screening uses CAMS background SO2 Pc/Pd; local measurements should override either model.

Corrosion DriverMarine humidity

Wet hours plus chloride proxy dominate the screening result.

Monthly atmospheric profile

Singapore CAMS modifiers by month.

Monthly mean values of marine aerosol, sulfur-deposition background, particulate pollution, combined pollution and chloride proxy indicators. Only the monthly means are shown, without a spread or range.

Marine aerosol

40 /100 average of the monthly means

Marine aerosol is seasonal, with stronger values early in the year.

Jan 73 /100, Feb 69 /100, Mar 44 /100, Apr 23 /100, May 28 /100, Jun 32 /100, Jul 42 /100, Aug 43 /100, Sep 39 /100, Oct 22 /100, Nov 16 /100, Dec 50 /1009 /10045 /10080 /100JanFebMarAprMayJunJulAugSepOctNovDecJan: 73 /100Feb: 69 /100Mar: 44 /100Apr: 23 /100May: 28 /100Jun: 32 /100Jul: 42 /100Aug: 43 /100Sep: 39 /100Oct: 22 /100Nov: 16 /100Dec: 50 /100
Monthly mean
PM2.5 exposure

65 /100 average of the monthly means

Fine particulate exposure is consistently elevated in the urban-regional context.

Jan 57 /100, Feb 58 /100, Mar 62 /100, Apr 66 /100, May 67 /100, Jun 68 /100, Jul 68 /100, Aug 67 /100, Sep 71 /100, Oct 70 /100, Nov 61 /100, Dec 60 /10055 /10064 /10072 /100JanFebMarAprMayJunJulAugSepOctNovDecJan: 57 /100Feb: 58 /100Mar: 62 /100Apr: 66 /100May: 67 /100Jun: 68 /100Jul: 68 /100Aug: 67 /100Sep: 71 /100Oct: 70 /100Nov: 61 /100Dec: 60 /100
Monthly mean
Pollution modifier

87 /100 average of the monthly means

Combined pollution modifier remains severe for most months.

Jan 77 /100, Feb 80 /100, Mar 85 /100, Apr 91 /100, May 90 /100, Jun 92 /100, Jul 91 /100, Aug 90 /100, Sep 91 /100, Oct 92 /100, Nov 85 /100, Dec 76 /10074 /10084 /10094 /100JanFebMarAprMayJunJulAugSepOctNovDecJan: 77 /100Feb: 80 /100Mar: 85 /100Apr: 91 /100May: 90 /100Jun: 92 /100Jul: 91 /100Aug: 90 /100Sep: 91 /100Oct: 92 /100Nov: 85 /100Dec: 76 /100
Monthly mean
Chloride proxy

41.833 mg/m2/day average of the monthly means

Chloride proxy stays in the S1 screening band due to coastal guardrail and CAMS marine aerosol.

Jan 51.000 mg/m2/day, Feb 51.000 mg/m2/day, Mar 40.000 mg/m2/day, Apr 40.000 mg/m2/day, May 40.000 mg/m2/day, Jun 40.000 mg/m2/day, Jul 40.000 mg/m2/day, Aug 40.000 mg/m2/day, Sep 40.000 mg/m2/day, Oct 40.000 mg/m2/day, Nov 40.000 mg/m2/day, Dec 40.000 mg/m2/day38.680 mg/m2/day45.500 mg/m2/day52.320 mg/m2/dayJanFebMarAprMayJunJulAugSepOctNovDecJan: 51.000 mg/m2/dayFeb: 51.000 mg/m2/dayMar: 40.000 mg/m2/dayApr: 40.000 mg/m2/dayMay: 40.000 mg/m2/dayJun: 40.000 mg/m2/dayJul: 40.000 mg/m2/dayAug: 40.000 mg/m2/daySep: 40.000 mg/m2/dayOct: 40.000 mg/m2/dayNov: 40.000 mg/m2/dayDec: 40.000 mg/m2/day
Monthly mean
MERRA-2 sulfate deposition

9.148 mg/m2/day average of the monthly means

MERRA-2 sulfate background is moderate for Singapore and adds sulfur-deposition context to the tropical marine exposure profile.

Jan 8.750 mg/m2/day, Feb 8.850 mg/m2/day, Mar 9.780 mg/m2/day, Apr 10.870 mg/m2/day, May 9.540 mg/m2/day, Jun 8.260 mg/m2/day, Jul 7.910 mg/m2/day, Aug 8.090 mg/m2/day, Sep 8.840 mg/m2/day, Oct 9.750 mg/m2/day, Nov 10.590 mg/m2/day, Dec 8.540 mg/m2/day7.555 mg/m2/day9.390 mg/m2/day11.225 mg/m2/dayJanFebMarAprMayJunJulAugSepOctNovDecJan: 8.750 mg/m2/dayFeb: 8.850 mg/m2/dayMar: 9.780 mg/m2/dayApr: 10.870 mg/m2/dayMay: 9.540 mg/m2/dayJun: 8.260 mg/m2/dayJul: 7.910 mg/m2/dayAug: 8.090 mg/m2/daySep: 8.840 mg/m2/dayOct: 9.750 mg/m2/dayNov: 10.590 mg/m2/dayDec: 8.540 mg/m2/day
Monthly mean
Plastic ageing context

Singapore UV and ozone exposure for polymer screening.

Singapore combines high tropical UV with moderate surface ozone. The partial plastic-ageing index stays high through the year because UV exposure has little seasonal relief.

Mean UV Surface Dose72.9 kJ/m2/day

ERA5 2015-2024 monthly climatology sampled at the city grid cell.

Peak UV Month87.3 kJ/m2/day

Highest monthly mean daily UV dose in the representative climatology.

Mean Surface Ozone34.1 ppb

CAMS EAC4 surface ozone climatology for elastomer and rubber ageing context.

Plastic Ageing Index81 / 100

Partial Climetry v0.1 screening index from UV and ozone only; not a lifetime prediction.

Engineering interpretation

For polymer housings, cable jackets and outdoor elastomers, Singapore should be treated as a persistent photo-oxidation environment. Material selection should consider UV stabilizers, color stability and ozone-sensitive elastomer screening, while thermal and moisture ageing will be refined with CEY channels.

Monthly plastic ageing profile

Singapore UV and ozone exposure by month.

Monthly profiles show UV surface dose, surface ozone and a partial Plastic Ageing Exposure Index. Thermal oxidation, hydrolysis and moisture ageing will be refined with CEY thermodynamic channels.

UV surface dose

72.9 kJ/m2/day average of the monthly means

Mean daily UV surface dose by calendar month. Useful for photo-oxidation screening of plastics, coatings, cable jackets and exposed polymer housings.

Jan 68.8 kJ/m2/day, Feb 87.3 kJ/m2/day, Mar 81.3 kJ/m2/day, Apr 78.8 kJ/m2/day, May 69.4 kJ/m2/day, Jun 66.7 kJ/m2/day, Jul 69.6 kJ/m2/day, Aug 72.1 kJ/m2/day, Sep 77.3 kJ/m2/day, Oct 73.8 kJ/m2/day, Nov 65.3 kJ/m2/day, Dec 64.5 kJ/m2/day61.8 kJ/m2/day75.9 kJ/m2/day90.0 kJ/m2/dayJanFebMarAprMayJunJulAugSepOctNovDecJan: 68.8 kJ/m2/dayFeb: 87.3 kJ/m2/dayMar: 81.3 kJ/m2/dayApr: 78.8 kJ/m2/dayMay: 69.4 kJ/m2/dayJun: 66.7 kJ/m2/dayJul: 69.6 kJ/m2/dayAug: 72.1 kJ/m2/daySep: 77.3 kJ/m2/dayOct: 73.8 kJ/m2/dayNov: 65.3 kJ/m2/dayDec: 64.5 kJ/m2/day
Monthly mean
Surface ozone

34.1 ppb average of the monthly means

Monthly surface ozone climatology. Relevant for ozone-sensitive elastomers, seals, rubber parts and strained polymer components.

Jan 33.8 ppb, Feb 34.7 ppb, Mar 33.1 ppb, Apr 34.9 ppb, May 31.2 ppb, Jun 30.2 ppb, Jul 31.3 ppb, Aug 33.4 ppb, Sep 41.3 ppb, Oct 38.5 ppb, Nov 33.3 ppb, Dec 33.9 ppb28.9 ppb35.8 ppb42.6 ppbJanFebMarAprMayJunJulAugSepOctNovDecJan: 33.8 ppbFeb: 34.7 ppbMar: 33.1 ppbApr: 34.9 ppbMay: 31.2 ppbJun: 30.2 ppbJul: 31.3 ppbAug: 33.4 ppbSep: 41.3 ppbOct: 38.5 ppbNov: 33.3 ppbDec: 33.9 ppb
Monthly mean
Plastic ageing exposure

81 score average of the monthly means

Partial Climetry Plastic Ageing Exposure Index v0.1 from UV and ozone channels only. Thermal and moisture ageing channels will be added from CEY.

Jan 81 score, Feb 81 score, Mar 81 score, Apr 81 score, May 80 score, Jun 79 score, Jul 80 score, Aug 81 score, Sep 84 score, Oct 83 score, Nov 81 score, Dec 81 score79 score82 score84 scoreJanFebMarAprMayJunJulAugSepOctNovDecJan: 81 scoreFeb: 81 scoreMar: 81 scoreApr: 81 scoreMay: 80 scoreJun: 79 scoreJul: 80 scoreAug: 81 scoreSep: 84 scoreOct: 83 scoreNov: 81 scoreDec: 81 score
Monthly mean
Environmental data confidence

What the station comparison shows, and what it does not.

Exposure hours (RH80/RH90) and the hourly CEY engineering figures (duration, histogram and percentile diagrams) on this page come from the CEY10 representative year: real months selected from ERA5-Land 2015-2024 at one 0.25° grid cell. The monthly profile charts state their own data basis above them.

The station comparison below is a separate 2025 pilot. It compares monthly values of ERA5, the global reanalysis rather than ERA5-Land, at the nearest grid point with Meteostat airport observations: 12 monthly values per station. It does not validate the representative year, its exposure hours, CE classes or corrosion screening.

For some coastal cities, including Dubai, Mumbai, Seattle and Singapore, the representative-year exposure hours lie outside the annual range observed at the airport station. Broader station comparisons of ERA5-Land and CEY10 are described on the scientific validation page.

Station comparison, 2025 pilot

Singapore: ERA5 2025 monthly values vs Singapore Changi Airport (WSSS)

ERA5 (the global reanalysis, nearest grid point) monthly means for 2025 compared with Meteostat observations at Singapore Changi Airport (WSSS): 12 monthly values per variable. Bias is ERA5 minus station.

Air temperatureRMSE 0.50 °C

Mean bias −0.45 °C

Dew pointRMSE 0.26 °C

Mean bias −0.15 °C

Relative humidityRMSE 1.85 %-points

Mean bias +0.87 %-points

This pilot concerns the ERA5 dataset in one calendar year. It does not validate the CEY10 representative year, exposure hours such as RH80/RH90, CE classes or corrosion screening shown on this page. Scientific validation
Report preview

Singapore exposure report structure.

The full report combines climate classification, corrosion screening, condensation exposure, RH80/RH90 hours, marine context, monthly profiles, and reliability implications.

Climate ClassificationHumid TropicalClimate zone
Climetry Exposure Class (CE)CE-5Environmental severity
Corrosion ScreeningSevereISO-derived indicator
Condensation RiskModerateMoisture
RH80 Hours6,596 h/yearWet-hour proxy
RH90 Hours3,470 h/yearExtreme humidity

Reliability implications for Singapore

High humidity and condensation exposure may result in a severe Climetry Exposure Class even if atmospheric metal corrosivity remains moderate. CE classes indicate environmental severity and qualification relevance, not failure probability.

  • Prioritize corrosion protection, coated metals, sealed connectors, and moisture-managed enclosure concepts.
  • Use humidity and corrosion exposure as central qualification assumptions for outdoor or semi-outdoor deployments.
  • Consider desiccants, conformal coating, ventilation strategy, and inspection intervals for electronics.
Learn More

Engineering context behind the city exposure pages.

Interactive assessment

Understand your own environmental exposure.

Analyze any location worldwide and compare humidity, condensation and environmental severity.

FAQ

Frequently asked questions

What does CE-5 mean for Singapore?

CE-5 is a Climetry Exposure Class. It describes overall environmental severity for durability screening and qualification support at this location.

Is this a corrosion prediction?

No. The page provides environmental exposure screening. Corrosion indicators are engineering screening outputs, not failure probability and not a product-specific lifetime prediction.

How reliable are the climate data?

Exposure hours and the hourly CEY engineering figures (duration, histogram and percentile diagrams) come from the CEY10 representative year: real months selected from ERA5-Land 2015-2024 at one 0.25° grid cell. A separate 2025 pilot compared ERA5 monthly values with airport observations (12 monthly values per station); it does not validate the representative year or its exposure hours. For some coastal cities the representative-year exposure hours lie outside the range observed at the airport. The monthly profile charts state their own data basis above them. Treat the values as screening values.

What is the difference between CE class and ISO corrosivity?

CE classes describe overall environmental severity. ISO 9223 corrosivity classes describe material-related atmospheric corrosivity categories. They are related but not equivalent.

Which climate data does this page use?

Temperature, dew point and pressure from ERA5-Land, assembled into the CEY10 representative year (2015-2024), are used to derive relative humidity, absolute humidity and exposure hours. Other layers name their own source and period where they are shown.

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