Climate profileCosta Rica
Guanacaste National Park
- Annual mean
- 26.6 °C
- Warmest month
- April
- Wettest month
- October
Park climate1991–2020 climate normals201 m source elevationNASA POWER
Annual profiles of temperature, precipitation, humidity, wind, and daylight duration
Santa Rosa National Park Climate and Atmospheric Monthly Averages in Guanacaste Province
These monthly climate normals provide a representative profile of long-term atmospheric patterns for Santa Rosa National Park. The recorded values reflect averages collected from 1991 to 2020 at a specific coordinate within Guanacaste Province. Readers can examine how temperature, precipitation, and daylight vary across the calendar year to understand the distinct climatic rhythm of this protected area.
Annual climate pattern
Analyzing the seasonal relationship between daily precipitation rates and average thermal ranges in Guanacaste.
Santa Rosa National Park Annual Climate Normals and Monthly Temperature Patterns
Average monthly temperatures at the representative coordinate peak in April with a mean of 28.37 °C, while average minimums remain consistently warm between 20.95 °C and 23.85 °C throughout the year. Long-term climatology data from 1991 to 2020 shows average daily precipitation peaking in October at 9.06 mm, contrasting with dry-season averages that fall below 0.10 mm per day in February and March.
- Annual mean
- 26.6 °C
- Warmest month
- April
- Coolest month
- November
- Wettest month
- October
Twelve-month climate
Long-term monthly indicators including average temperature bounds, daily precipitation rates, and wind speed.
Santa Rosa National Park Weather by Month: Twelve-Month Climate Normals
Analyzing the complete twelve-month cycle at Santa Rosa National Park provides a detailed look at average minimum, mean, and maximum temperatures alongside average daily precipitation rates. Comparing these long-term climate normals from the 1991 to 2020 period allows researchers to track annual patterns in relative humidity, wind speed, and calculated average daylight hours at a representative park coordinate.
| Mean temperature | Precipitation | Humidity | Wind speed | Daylight | |
|---|---|---|---|---|---|
| January | 25.9 °C21° to 31.3° | 0.1 mm/day | 72.3% | 5.5 m/s | 11.4 hours |
| February | 26.6 °C21.4° to 32.8° | 0.1 mm/day | 67.5% | 5.6 m/s | 11.7 hours |
| March | 27.5 °C21.8° to 34° | 0.1 mm/day | 63.6% | 5.3 m/s | 11.9 hours |
| April | 28.4 °C22.8° to 34.6° | 0.7 mm/day | 64.2% | 4.5 m/s | 12.3 hours |
| May | 27.8 °C23.9° to 34° | 5.7 mm/day | 73.9% | 3.4 m/s | 12.5 hours |
| June | 26.7 °C23.6° to 31.3° | 6.1 mm/day | 82.3% | 3.2 m/s | 12.6 hours |
| July | 26.5 °C23.4° to 31.1° | 4 mm/day | 81.8% | 3.9 m/s | 12.6 hours |
| August | 26.6 °C23.4° to 31.2° | 5.6 mm/day | 81.1% | 3.3 m/s | 12.4 hours |
| September | 26.2 °C23.4° to 30.9° | 8.7 mm/day | 83.4% | 2.7 m/s | 12.1 hours |
| October | 25.8 °C23.1° to 29.8° | 9.1 mm/day | 85.5% | 2.9 m/s | 11.7 hours |
| November | 25.6 °C22° to 29.7° | 4 mm/day | 83.1% | 3.8 m/s | 11.5 hours |
| December | 25.7 °C21.4° to 30.2° | 0.4 mm/day | 78.3% | 4.9 m/s | 11.4 hours |
Compare two months
See two months side by side and how much they differ. Both use the same 1991–2020 climate normals and NASA POWER data point as the table above, so they show typical conditions, not a forecast.
- Mean temperature
- November: 25.6 °C
- April: 28.4 °C
- Change from November to April: +2.7 °C
- Precipitation
- November: 4 mm/day
- April: 0.7 mm/day
- Change from November to April: -3.3 mm/day
- Daylight
- November: 11.5 hours
- April: 12.3 hours
- Change from November to April: +0.8 hours
Calculated climate highlights
An overview of seasonal shifts in temperature, daily precipitation, wind speed, and daylight duration
Santa Rosa National Park Climate Highlights: Comparing Warmest, Coolest, and Wettest Months
Long-term climatology data for Santa Rosa National Park highlights the warmest, coolest, wettest, and driest months calculated from thirty years of regional measurements. Comparing monthly averages for temperature, humidity, daily precipitation rates, and wind speed reveals the structured patterns of the local environment without relying on singular weather events.
- Warmest month
- April28.4 °C
- Coolest month
- November25.6 °C
- Wettest month
- October9.1 mm/day
- Driest month
- February0.1 mm/day
- Most humid month
- October85.5%
- Windiest month
- February5.6 m/s
- Longest daylight
- June12.6 hours
Interactive climate map
National park climate map
Open the climate map to compare monthly temperature, precipitation, and other averages.
Other park climates
Analyze monthly weather patterns and annual temperature cycles across diverse protected landscapes
Compare Santa Rosa National Park Climate Profiles with Other Regional Reserves
Transitioning from Santa Rosa National Park to other regional park climate profiles offers a direct path to examine how annual temperature and rainfall trends shift across distinct landscapes. Evaluating standardized monthly normals for precipitation, humidity, wind, and daylight helps clarify the atmospheric differences that shape diverse protected environments.
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- Annual mean
- 26.5 °C
- Warmest month
- April
- Wettest month
- October
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- Annual mean
- 27.6 °C
- Warmest month
- April
- Wettest month
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- Annual mean
- 26.5 °C
- Warmest month
- April
- Wettest month
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- Annual mean
- 27.6 °C
- Warmest month
- April
- Wettest month
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- Annual mean
- 27.6 °C
- Warmest month
- April
- Wettest month
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- Annual mean
- 27.6 °C
- Warmest month
- April
- Wettest month
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- Annual mean
- 25.2 °C
- Warmest month
- April
- Wettest month
- October
MoriAtlas Explorer
Continue Exploring Santa Rosa National Park's Geographic Context and Protected Landscape
Delve deeper into the atlas-informed geography of Santa Rosa National Park. Understanding its mapped features and protected-area status within Guanacaste Province provides essential context for appreciating its unique landscape. This structured approach to park discovery supports a richer comprehension of conservation geographies and natural terrains, moving beyond simple location data.
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