Ever tried to picture a place’s weather without scrolling through endless tables of temperature and rain?
Worth adding: imagine a single graphic that tells you, at a glance, whether you’ll need a parka or a sunscreen in June. That’s the power of a climograph – and if you’ve got six spots on your travel list, you’re probably wondering how to pull one together for each of them The details matter here. Practical, not theoretical..
Below is the full, step‑by‑step guide to building a climograph for any location, plus a ready‑made example for six popular destinations.
Grab a spreadsheet, a bit of data, and let’s turn numbers into a picture that even your grandma could read.
What Is a Climograph, Anyway?
A climograph is a hybrid chart that layers average monthly temperature (usually a line) over average monthly precipitation (usually bars).
It’s the weather‑nerd’s cheat sheet for a whole year in one picture It's one of those things that adds up..
Think of it as a weather résumé:
- Temperature line shows the heat‑to‑cold swing.
- Rainfall bars reveal the wet‑to‑dry rhythm.
When you overlay them, patterns pop out instantly – “That’s a Mediterranean summer, dry and hot,” or “Here’s a monsoon‑driven peak in July.”
You don’t need a fancy GIS program; a simple spreadsheet or free online chart maker does the trick.
The Core Ingredients
- Monthly mean temperature (°C or °F).
- Monthly total precipitation (mm or inches).
- A consistent month order – Jan to Dec.
- A clear axis layout – temperature on the left y‑axis, precipitation on the right y‑axis.
That’s it. The rest is design and context.
Why It Matters – Real‑World Uses
If you’re a traveler, a farmer, or a climate‑student, a climograph answers questions faster than a paragraph of text Simple, but easy to overlook. No workaround needed..
- Travel planning: Spot the dry season before you book a beach resort.
- Agriculture: Know when the rains will fill your irrigation canals.
- Education: Teach students the difference between a tropical rainforest climate and a steppe.
And for anyone who loves data visualisation, a climograph is a tidy way to showcase climate classification (Köppen, anyone?) without drowning the audience in raw numbers.
How to Build a Climograph – The Full Process
Below is the workflow that works for any of the six locations you might have in mind. Follow each step, and you’ll end up with a clean, informative chart.
1. Gather Reliable Climate Data
Where to look:
- National meteorological services (e.g., NOAA, Met Office).
- WorldClim or Climate‑Data.org for free monthly averages.
- Local weather stations if you need higher resolution.
What to copy:
| Month | Avg Temp (°C) | Avg Rainfall (mm) |
|---|---|---|
| Jan | … | … |
| … | … | … |
| Dec | … | … |
Make sure you have 12 rows, one per month, and that the units are consistent across all locations.
2. Set Up Your Spreadsheet
- Open Excel, Google Sheets, or LibreOffice Calc.
- Paste the table for the first location.
- Add two extra columns: “Temp (°C) × 10” and “Rain (mm)”.
- Multiplying temperature by 10 (or any factor) helps the line sit nicely over the bars when the scales differ dramatically.
- Highlight the whole range and insert a Combo Chart – line for temperature, clustered column for rainfall.
3. Tweak the Axes
- Primary y‑axis (left): Temperature. Set the scale to cover the min‑max of your data, maybe with a little buffer (e.g., 0–30 °C).
- Secondary y‑axis (right): Precipitation. Choose a scale that fits the wettest month (e.g., 0–400 mm).
- Turn on gridlines for easier reading, but keep them faint so they don’t dominate.
4. Add Labels and Styling
- Title: “Climograph – [Location]”.
- Month labels along the x‑axis – keep them short (Jan, Feb…).
- Legend: “Temperature (°C)” and “Rainfall (mm)”.
- Use contrasting colors: a cool blue for rain bars, a warm orange or red for the temperature line.
- If you’re feeling fancy, add a tiny icon (sun, cloud) next to the title for visual flair.
5. Replicate for the Other Five Spots
Copy the whole sheet, replace the data, and adjust the axis limits if needed.
Now you have six side‑by‑side climographs ready for a blog post, presentation, or travel brochure.
6. Export and Polish
Export each chart as a PNG or SVG.
In a graphic editor (Canva, PowerPoint, or even PowerPoint’s “Save as picture”), align them in a grid, add a short caption under each, and you’ve got a ready‑to‑publish visual set Worth keeping that in mind..
Common Mistakes – What Most People Get Wrong
Mixing Units
One of the fastest ways to ruin a climograph is to pull temperature in Fahrenheit and rainfall in inches, then label everything as Celsius and millimetres. The mismatch throws off the visual balance and confuses readers.
Ignoring Scale Differences
If the temperature line is plotted on the same scale as rainfall, the line will look flat or exaggerated. Always use a secondary y‑axis and consider scaling the temperature (multiply by 10, for example) so the line moves visibly across the chart.
The official docs gloss over this. That's a mistake It's one of those things that adds up..
Overcrowding the Chart
Trying to squeeze all twelve months into a narrow space leads to cramped bars and unreadable month labels. Give each month at least 30 px width; otherwise, the chart looks like a mess.
Forgetting the Local Context
A climograph is a snapshot, but without a brief note about altitude, coastal influence, or prevailing winds, the numbers can be misleading. To give you an idea, “June 30 °C” means something different at sea level than on a high plateau.
Practical Tips – What Actually Works
- Use a consistent colour scheme across all six charts. Readers will instantly recognise the temperature line as orange and the rain bars as blue, even when they glance at a different location.
- Add a tiny “dry season” shading (light gray) under months where rainfall falls below 20 mm. It’s a visual cue that saves a sentence of explanation.
- Include a Köppen code in the caption (e.g., “Csa – Mediterranean”). It gives climate‑science fans a quick taxonomy reference.
- Test readability on mobile. Most blog readers are on phones; make sure the month labels don’t get cut off and that the line stays visible at smaller sizes.
- Save the raw data in a downloadable CSV. Power users love to dig deeper, and it boosts your SEO with a “downloadable resource” tag.
Six Ready‑Made Climographs
Below are the data tables and brief interpretations for six popular destinations. Use the steps above to turn each into a polished chart.
1. Barcelona, Spain (Mediterranean)
| Month | Avg Temp (°C) | Avg Rain (mm) |
|---|---|---|
| Jan | 10 | 41 |
| Feb | 11 | 38 |
| Mar | 13 | 44 |
| Apr | 15 | 48 |
| May | 19 | 55 |
| Jun | 23 | 20 |
| Jul | 26 | 12 |
| Aug | 26 | 13 |
| Sep | 23 | 68 |
| Oct | 19 | 88 |
| Nov | 14 | 75 |
| Dec | 11 | 53 |
No fluff here — just what actually works And it works..
What you see: Warm, dry summers (June‑August) and a rainy autumn spike in October. Perfect for a spring beach break.
2. Nairobi, Kenya (Equatorial Highland)
| Month | Avg Temp (°C) | Avg Rain (mm) |
|---|---|---|
| Jan | 20 | 86 |
| Feb | 20 | 100 |
| Mar | 21 | 140 |
| Apr | 20 | 170 |
| May | 19 | 180 |
| Jun | 18 | 140 |
| Jul | 18 | 120 |
| Aug | 18 | 110 |
| Sep | 19 | 90 |
| Oct | 20 | 70 |
| Nov | 20 | 80 |
| Dec | 20 | 80 |
What you see: Mild year‑round temperatures, with two rainy peaks (Mar‑May and Oct‑Nov). Great for wildlife safaris any month, but the “short rains” in Oct‑Nov are ideal for road travel.
3. Vancouver, Canada (Oceanic)
| Month | Avg Temp (°C) | Avg Rain (mm) |
|---|---|---|
| Jan | 5 | 147 |
| Feb | 6 | 119 |
| Mar | 8 | 124 |
| Apr | 10 | 108 |
| May | 13 | 124 |
| Jun | 16 | 106 |
| Jul | 18 | 73 |
| Aug | 18 | 92 |
| Sep | 15 | 124 |
| Oct | 11 | 186 |
| Nov | 7 | 220 |
| Dec | 5 | 191 |
What you see: Cool, wet winters and relatively dry, pleasant summers. If you love hiking, aim for July‑August; if you’re after a dramatic rain‑soaked city vibe, the shoulder months do the trick.
4. Bangkok, Thailand (Tropical Monsoon)
| Month | Avg Temp (°C) | Avg Rain (mm) |
|---|---|---|
| Jan | 26 | 10 |
| Feb | 28 | 20 |
| Mar | 30 | 30 |
| Apr | 31 | 90 |
| May | 30 | 200 |
| Jun | 29 | 300 |
| Jul | 28 | 250 |
| Aug | 28 | 260 |
| Sep | 27 | 300 |
| Oct | 27 | 260 |
| Nov | 27 | 100 |
| Dec | 26 | 20 |
What you see: Scorching heat all year, but a massive monsoon surge from May to October. The “cool” dry window is Dec‑Feb – perfect for street‑food tours without the deluge Worth keeping that in mind. But it adds up..
5. Reykjavik, Iceland (Subpolar Oceanic)
| Month | Avg Temp (°C) | Avg Rain (mm) |
|---|---|---|
| Jan | 0 | 78 |
| Feb | 0 | 61 |
| Mar | 1 | 59 |
| Apr | 4 | 49 |
| May | 7 | 58 |
| Jun | 10 | 61 |
| Jul | 12 | 71 |
| Aug | 12 | 84 |
| Sep | 9 | 93 |
| Oct | 6 | 106 |
| Nov | 3 | 106 |
| Dec | 1 | 93 |
What you see: Near‑free winters, modest summer warmth, and fairly even precipitation. The midnight sun in June‑July makes it a photographer’s dream despite the modest temps.
6. Sydney, Australia (Temperate)
| Month | Avg Temp (°C) | Avg Rain (mm) |
|---|---|---|
| Jan | 23 | 102 |
| Feb | 23 | 124 |
| Mar | 21 | 131 |
| Apr | 18 | 115 |
| May | 15 | 115 |
| Jun | 13 | 88 |
| Jul | 12 | 84 |
| Aug | 13 | 84 |
| Sep | 15 | 71 |
| Oct | 17 | 87 |
| Nov | 19 | 95 |
| Dec | 21 | 103 |
What you see: Warm, relatively wet summers; mild, drier winters. If you’re after beach weather, December through February is the sweet spot, but expect a chance of a summer thunderstorm It's one of those things that adds up..
FAQ
Q: Do I need to convert rainfall to “mm per day” for a climograph?
A: No. Climographs traditionally use total monthly precipitation. Converting to daily averages can be useful for other analyses, but it clutters the visual.
Q: Can I include humidity or sunshine hours on the same chart?
A: It’s possible, but the chart becomes hard to read. Better to create a separate “climate radar” or add a small inset if you really need that extra layer Simple, but easy to overlook. Worth knowing..
Q: What’s the best software if I’m not comfortable with spreadsheets?
A: Free tools like Canva’s chart maker, Plotly’s online editor, or the “Chart Builder” in Google Data Studio all let you make combo charts without formulas.
Q: How often should I update the climograph?
A: Climate normals are usually calculated over a 30‑year period. Updating every decade keeps the chart relevant without chasing short‑term anomalies Less friction, more output..
Q: Is it okay to use a single axis for temperature and rainfall?
A: Only if the ranges are similar (e.g., a tropical location where temperature hovers around 30 °C and rainfall is 200‑300 mm). Otherwise, a dual‑axis combo is the safe bet.
Wrapping It Up
A climograph might look like a simple chart, but it packs a year’s worth of climate insight into a single glance.
By gathering reliable monthly averages, setting up a dual‑axis combo chart, and polishing the visual style, you can create a professional‑looking graphic for any destination – even six of them at once.
Now you’ve got the data, the steps, and the common pitfalls covered.
Pull up your spreadsheet, pick a color scheme, and start visualising those six spots. Your readers (or your future self) will thank you when they can instantly tell whether to pack a raincoat or a swimsuit. Happy charting!
Adding Contextual Layers (Optional, but Powerful)
If you want to go beyond the bare‑bones climograph, consider sprinkling in a few contextual cues that help the reader interpret the numbers at a glance.
| Layer | What it adds | How to implement |
|---|---|---|
| Seasonal shading | Instantly signals “wet” vs. | Plot a thin ribbon (area chart) between the average daily minimum and maximum temperatures, then overlay the mean temperature line on top. |
| Iconography | Gives a quick visual cue (sun, cloud, rain). , > 100 mm). | |
| Temperature bands | Shows typical daily range without cluttering the line. g.Day to day, g. Think about it: | |
| Event markers | Highlights anomalous weather (e. | Insert a small “★” or a vertical line on the month where the event occurred; attach a brief tooltip or footnote. Day to day, |
These layers are optional, but they can transform a static chart into a mini‑infographic that tells a story at a glance.
Exporting for Different Media
| Destination | Recommended File Type | Recommended Resolution |
|---|---|---|
| Web article | PNG or SVG (SVG keeps text crisp on retina screens) | 72 dpi, width 800–1000 px |
| Print brochure | PDF or high‑resolution PNG | 300 dpi, width 210 mm (A5) or larger |
| Social media | Square PNG (1080 × 1080 px) for Instagram, vertical PNG (1080 × 1350 px) for Facebook posts | 72 dpi, but upsample to 150 dpi for sharper mobile rendering |
| Presentation decks | PPT‑compatible PNG or EMF (Windows) / PDF (Mac) | 150 dpi, width 1024 px |
If you're export, double‑check that the axis labels and legend remain legible at the chosen size. A quick test: shrink the image to 50 % in an image editor—if the text is still readable, you’re good to go.
A Quick Checklist Before Publishing
- Data sanity‑check – Verify that the sum of monthly precipitation matches the annual total reported by the source.
- Axis alignment – Ensure the temperature axis starts a few degrees below the lowest monthly mean (e.g., 10 °C) and the precipitation axis starts at zero.
- Color‑blind safety – Run the chart through a color‑blind simulator (Coblis, Color Oracle). Swap any problematic pairings (e.g., red/green) for safe alternatives.
- Source citation – Place a small footnote beneath the chart: “Source: World Meteorological Organization, 1991‑2020 climate normals.”
- Responsive design – If the chart will appear in a responsive web layout, embed the SVG version and set
max-width: 100%in CSS so it scales gracefully.
Cross‑checking these items will save you the embarrassment of a mislabeled axis or an inaccessible color scheme after the fact.
Bringing It All Together – A Mini‑Case Study
Let’s say you’re preparing a travel guide for a coastal region that includes six distinct towns: Port Aurora, Bayview, Coral Cove, Sandhaven, Tidepoint, and Harbor‑Ridge. You’ve collected the same 12‑month temperature and rainfall tables for each location (the example table above is for Port Aurora).
- Create a master sheet with each town’s data side‑by‑side.
- Insert a “Combined” climograph that uses a clustered column series for rainfall (grouped by town) and a line series for temperature (single line per town, differentiated by line style).
- Add a legend that pairs each town’s color with its line style, and a secondary legend that explains the rainfall shading (e.g., dark blue = > 120 mm).
- Apply the seasonal shading once, because the wet‑dry pattern is consistent across the six towns.
- Export six individual charts (one per town) for detailed pages, and keep the combined chart for the overview section.
The result is a cohesive visual language that lets readers compare micro‑climates at a glance, while still providing the depth they need when they drill down into a specific destination That alone is useful..
Final Thoughts
A climograph may appear modest—a couple of lines and bars—but it is, in fact, a compact narrative of a place’s weather rhythm. By:
- gathering trustworthy monthly normals,
- choosing a dual‑axis combo layout,
- polishing the visual hierarchy (colors, fonts, shading),
- optionally layering contextual cues, and
- exporting in the right format for your medium,
you transform raw numbers into an instantly understandable story. Whether you’re drafting a scientific report, a tourism brochure, or a classroom handout, the steps outlined above give you a repeatable workflow that works for any number of locations.
So go ahead—open that spreadsheet, pick a palette that matches the vibe of your destination, and let the data speak. Your audience will thank you for turning a sea of numbers into a clear, compelling picture of climate. Happy charting!