Physical Climate Risk Calculator
The formula
What the physical climate risk tells you
The 5×5 matrix the risk industry actually uses, for physical climate risk: gross likelihood × impact, discounted by how well your controls actually work.
Calculation: gross = likelihood × impact (1–25); net = gross × (1 − controls). Enter your inputs and every substitution is shown below the result.
Reading the result
Scores rank attention; they do not price losses. Anything 15+ gets a treatment plan with a named owner.
Rules of thumb: Most organisations carry 3–5 reds; more usually means likelihood inflation, not danger.
Limitations and best practice
Control ratings drift optimistic — audit one control’s evidence and re-mark the rest against it.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Why discount by controls?
Do these scores compare across teams?
Source & methodology
ISO 31000-aligned qualitative risk matrices.
How Physical Climate Risk works — and what your result really means
This page was written for one job: turning your own inputs into a defensible figure, with the working shown. Physical Climate Risk is the kind of number people argue about from memory. This page ends that argument with arithmetic you can watch happen: enter your figures, get Net risk score in real time, and see every substitution printed below.
In Environmental & Sustainability the same quantity is often quoted under two or three different conventions. The formula printed above fixes one convention and applies it consistently, which is what makes results from this page comparable with each other.
In Carbon & Climate, the same underlying quantity may be measured under different protocols with different boundaries. Knowing the boundary behind a Physical Climate Risk is what makes it comparable across reports.
Nothing below is stock text pasted around a number: the worked example computes net risk score = 5.0 / 25 from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Likelihood (1 = rare … 5 = almost certain) first, at ≈10.0 % of the headline for a ten-percent error either way in that input. Work down the page and by the end you could re-derive the result in a spreadsheet from memory.
Inside the Physical Climate Risk calculation: formula and every input
One formula, published in full: gross = likelihood × impact (1–25); net = gross × (1 − controls). Anything you can read, you can reproduce in a spreadsheet, and that reproducibility is the whole point of printing it rather than hiding it behind a button.
Likelihood (1 = rare … 5 = almost certain) (example value 2) is a plain measured quantity — the unit shown in the label is the unit the formula expects. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Impact (1 = negligible … 5 = severe) (example value 4) is a plain measured quantity — the unit shown in the label is the unit the formula expects. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
Control effectiveness (0–100 %) (example value 37) is a quantity rather than a category — precision here is cheap and worth having. Check the convention first: if the source says “6.5 % per year”, type 6.5 and let the formula do the rest.
Physical Climate Risk with real numbers, step by step
The tool prints its own working; this is the same arithmetic on the example values, reproduced so you can follow it by hand. Starting figures: Likelihood (1 = rare … 5 = almost certain), Impact (1 = negligible … 5 = severe), Control effectiveness (0–100 %). Run to the end, the net risk score resolves to 5.0 / 25 — Low-moderate — monitor at cadence on the bands this tool uses.
- Gross = 2 × 4 = 8
- Net = 8 × (1 − 37 %) = 5.0
Gross score — 8 / 25. This is the number experienced users quote when the headline alone would mislead.
Control credit — 3.0 pts. This is the number experienced users quote when the headline alone would mislead.
Likelihood × impact band — Mixed. If your inputs change, this is usually the first companion figure to move.
Overwrite any input above and every line of this example updates with it — the substitution is live, not a screenshot of somebody else’s numbers.
Scenario table: Physical Climate Risk at ±10 % and ±20 % of the key input
Read this table as the practical error bar on the headline figure. It answers the question people actually have after seeing a single number: how wrong could this be if the main input is off by ten or twenty percent?
| Likelihood (1 = rare … 5 = almost certain) setting | Net risk score |
|---|---|
| 80 % of the example value | 4.0 / 25 |
| 90 % of the example value | 4.5 / 25 |
| example inputs | 5.0 / 25 |
| 110 % of the example value | 5.5 / 25 |
| 120 % of the example value | 6.0 / 25 |
Across 5 settings of Likelihood (1 = rare … 5 = almost certain), the result spans 4.0 / 25 to 6.0 / 25. A decision that only works at one row of this table is a decision waiting for an input to move. Reproduce it in the form above by editing Likelihood (1 = rare … 5 = almost certain) alone; the substitution steps will follow your figures exactly.
Sensitivity: which inputs change Physical Climate Risk the most
Generic advice says “it depends on your inputs”; this section says exactly how much. Each field was perturbed by ±10 % in isolation and the net risk score recomputed, so the ranking below is measured rather than asserted. Read it as a map of where Physical Climate Risk is fragile — drawn for the example inputs, which is the map you want when deciding what to measure carefully.
- Likelihood (1 = rare … 5 = almost certain) +10 % → Physical Climate Risk = 5.5 / 25 · −10 % → 4.5 / 25 (the net risk score shifts ≈10.0 %)
- Nudge Impact (1 = negligible … 5 = severe) by ±10 % and Physical Climate Risk lands between 4.5 / 25 and 5.5 / 25 (sensitivity ≈10.0 %)
- Nudge Control effectiveness by ±10 % and Physical Climate Risk lands between 4.7 / 25 and 5.3 / 25 (sensitivity ≈5.9 %)
Likelihood (1 = rare … 5 = almost certain) is the dominant lever here: ten percent either way moves the result by about 10.0 %, from 4.5 / 25 to 5.5 / 25. Spend your verification effort there first, and Impact (1 = negligible … 5 = severe) is effectively tied with it (≈10.0 % for the same nudge), so verify the pair together. The remaining fields can sit at safe defaults without materially changing the answer — knowing which is which is what separates a careful calculation from an anxious one.
Interpreting the Physical Climate Risk verdict
The value above only becomes useful the moment you know what it is being measured against. The default case lands in the “Low-moderate — monitor at cadence” band, and bands are deliberately wide because real situations overlap. The sensitivity list shows how far a modest input error moves you along that ladder: for Likelihood (1 = rare … 5 = almost certain), ±10 % covers 4.5 / 25 to 5.5 / 25. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
Where Physical Climate Risk sits next to similar measures: this tool answers “how much is the Physical Climate Risk”, while the related calculators answer “what do I do about it”. Reading the result alone tends to over-weight a single snapshot; pairing it with the companion tools above turns the number into a decision.
Common mistakes with Physical Climate Risk (and the fix)
Control ratings drift optimistic — audit one control’s evidence and re-mark the rest against it. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Comparing a Physical Climate Risk computed here with a figure from another source that uses different conventions. Same name, different denominator — the disagreement is usually in the definitions, not the data.
Attention is also misallocated between fields. Having measured this engine, we can say where it belongs: Likelihood (1 = rare … 5 = almost certain) first, everything else second.
Another is comparing across contexts: a Physical Climate Risk computed with one set of conventions should never be lined up against a figure computed with another. Check the inputs behind both before ranking them.
A quick check for any Physical Climate Risk figure
- Record the date and the inputs alongside the number so future-you knows what was assumed.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Put Likelihood (1 = rare … 5 = almost certain) under a magnifier; the sensitivity table above is the reason why.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
Five steps from raw inputs to a figure you can defend
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — start from evidence. The inputs behind Physical Climate Risk are likelihood (1 = rare … 5 = almost certain), impact (1 = negligible … 5 = severe), control effectiveness (0–100 %). Write them down with their source next to each one; if you cannot name where a figure came from, that is the input most likely to be wrong. When two sources disagree, it is almost never the arithmetic that differs.
Step 2 — baseline before exploration. Get one defensible Net risk score on screen before you start nudging numbers. Without a baseline, every variation looks interesting and none of them means anything. If the answer changes your behaviour, it deserves a second run with different assumptions.
Step 3 — measure what deserves measuring. The ranked levers above tell you where a careful figure pays off. Everything else can stay approximate, which is a licence to stop hunting for data you do not need. A figure with a date beside it becomes evidence; without one it stays an anecdote.
Step 4 — stress before you commit. A decision that survives a ten-percent squeeze on its two biggest inputs needs no luck to be sound. One that does not survive is a decision about hope, not about arithmetic. Comparisons are cheap: run the identical calculation for the alternative and look at the gap.
Step 5 — save the story with the figure. A number without its inputs and its date is unusable within a quarter. Record 5.0 / 25, the assumptions behind it, and today’s date; your future self will be auditing a stranger’s arithmetic. A figure with a date beside it becomes evidence; without one it stays an anecdote.
The real-world conversations Physical Climate Risk settles
Numbers earn their keep in conversations, and Physical Climate Risk is no exception. In Environmental & Sustainability discussions around Carbon & Climate, this figure decides whether an option stays on the table: it converts an opinionated debate into an arithmetic one, and arithmetic is the only referee both sides accept. A calculation you cannot explain to somebody else is a calculation you cannot defend.
Professionals in Carbon & Climate use this style of calculation as a screening filter before spending real money or effort: a quick Physical Climate Risk check eliminates weak options in minutes, and the survivors earn the deeper, slower analysis. Write the assumptions in the same file as the result, and future arguments take minutes instead of meetings.
There is a personal-administration use people overlook: periodic self-checking. Physical Climate Risk quietly drifts as life changes — rates move, bodies change, costs compound — and re-running it a few times a year catches drift while correction is still cheap. Comparisons are cheap: run the identical calculation for the alternative and look at the gap.
Quick answers: what searchers ask about Physical Climate Risk
What affects Physical Climate Risk the most?
Physical Climate Risk is driven above all by Likelihood (1 = rare … 5 = almost certain). Perturbing only that field by ten percent either way produced 5.5 / 25 against the 5.0 / 25 baseline — a ≈10.0 % response, while Impact (1 = negligible … 5 = severe) manages ≈10.0 %.
Do impact (1 = negligible … 5 = severe) and likelihood (1 = rare … 5 = almost certain) matter equally?
Physical Climate Risk here is co-driven: Likelihood (1 = rare … 5 = almost certain) and Impact (1 = negligible … 5 = severe) produced ≈10.0 % and ≈10.0 % responses, which is a tie for practical purposes. Everything below those two is a rounding error by comparison.
What is a typical Physical Climate Risk?
On the worked example above Physical Climate Risk comes out at 5.0 / 25. Treat that as one point on a distribution rather than a norm: the bands, the companion outputs and the sensitivity ranking tell you how wide the plausible range really is.
How do I calculate Physical Climate Risk by hand?
Three steps: write the formula (gross = likelihood × impact (1–25); net = gross × (1 − controls)), insert your values, and simplify. The worked example section shows exactly that chain for the default inputs; replicating it once on paper teaches you more about Physical Climate Risk than any number of calculator runs.
What happens to Physical Climate Risk if likelihood (1 = rare … 5 = almost certain) changes by 10 %?
On these inputs a ±10 % change in likelihood (1 = rare … 5 = almost certain) takes Physical Climate Risk to 5.5 / 25 against the 5.0 / 25 example — around 10.0 % of the headline. The same test on every other field is in the sensitivity section.
Is the Physical Climate Risk result of 5.0 / 25 good or bad?
Neither, on its own — the label “Low-moderate — monitor at cadence” is the band this figure falls in for the example inputs, and your own inputs will place you elsewhere on the same ladder. Judge the number against your history and your alternatives, and remember that a ten-percent error in Likelihood (1 = rare … 5 = almost certain) alone moves it by ≈10.0 %.
How do I calculate Physical Climate Risk manually?
Write down the inputs, then follow the printed steps in order — gross = likelihood × impact (1–25); net = gross × (1 − controls). A spreadsheet replicates it with two or three cells. The manual route is worth doing once to build intuition; after that the calculator saves time and eliminates transcription slips.
Is Physical Climate Risk auditable?
Yes — the printed steps are the audit trail: inputs, formula, and substitution. This is exactly what reviewers need to re-derive 5.0 / 25 from your raw records.
Why discount by controls?
A 20-score hazard half-mitigated is a 10, and 10s behave like a different risk class.
Do these scores compare across teams?
Only if the likelihood and impact scales are calibrated to the same definitions — the matrix is shared, the calibration is organisational.
Is my data private on this page?
Yes — computation happens locally in your browser, with no account, no tracking of your inputs and nothing sent to a server. The printed formula is the whole story of what happens to your figures.
The vocabulary of Physical Climate Risk
- Gross score
- 8 / 25 in the default Physical Climate Risk calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Control credit
- 3.0 pts in the default Physical Climate Risk calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Likelihood × impact band
- Mixed in the default Physical Climate Risk calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Net risk score
- The primary output of this tool: 5.0 / 25 for the default inputs, computed exactly from gross = likelihood × impact (1–25); net = gross × (1 − controls).
- Worked example
- The step-by-step substitution printed above, so the arithmetic can be re-derived by hand or in a spreadsheet.
- Verdict band
- A named zone on the range of plausible results; the example inputs land in “Low-moderate — monitor at cadence”, and your inputs may not.
- Sensitivity (±10 %)
- How far the Physical Climate Risk moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
The provenance of this Physical Climate Risk calculation
Everything above runs on one stated formula, applied without hidden coefficients: gross = likelihood × impact (1–25); net = gross × (1 − controls). Source of record: ISO 31000-aligned qualitative risk matrices. Any other implementation of this model should return the same figure for the same inputs. If one does not, the difference is in its assumptions — which this page prints and that one probably does not.
This page is an estimation aid, not professional advice. The design rule is simple: two people entering identical figures must get identical answers. What that buys you is reproducibility — two people, two browsers, the same arithmetic, and a printed trail from inputs to result that either of them can audit.
What to do with your Physical Climate Risk next
Re-run the calculation with your own figures, stress the two most sensitive inputs by ±10 %, and only then act on the result.
The audience here is people who need one trustworthy number before their next decision. Everything you need to defend the result — formula, substitution, sensitivity, source — is printed above, so the only remaining variable is the honesty of your inputs.