Win Up to £312,500 for Ocean Carbon Modelling Research Grant 2026: UKRI NERC Funding with NASA US Partners

If you work anywhere near ocean carbon, you already know the uncomfortable truth: the ocean is doing a heroic amount of climate heavy lifting, and we still don’t model some of its most important biological “tricks” particularly well. Phytoplankton blooms, particle sinking, microbial recycling, food-web dynamics—these aren’t decorative details. They’re the gears inside the machine that decides how much carbon stays out of the atmosphere, for how long, and where it ends up.

That’s why this UKRI opportunity—run through NERC (Natural Environment Research Council)—is genuinely worth your attention. It’s not a broad, vague pot of money. It’s a targeted push to improve how biological processes are represented in global carbon storage models. In other words: not just more data, not just another regional case study, but modelling advances that can actually travel—into the big Earth system frameworks that policymakers and climate projections lean on.

There’s another twist that makes this call unusually interesting: it’s a UK–US collaboration, with NASA supporting the US side. If you’ve been trying to build a transatlantic team and needed a “grown-up reason” to do it (and a funding mechanism that doesn’t require you to duct-tape two separate proposals together), this is that reason.

One more thing before we get into the details: this is a tough grant to get, but absolutely worth the effort. The upside is clear—serious credibility, meaningful resources, and a chance to change how ocean carbon is simulated at global scale. The catch is also clear—you must submit a Notification of Intent (NoI) or you won’t even be allowed through the door for the full application. Consider that your first gate.

At a Glance: Key Facts for the UKRI NERC Ocean Carbon Modelling Grant

What This Opportunity Actually Offers (Beyond the Headline Funding)

Let’s translate the dry wording into what you can really do with this grant.

First, the money is designed for modelling progress, not just running a field campaign and writing a paper about it. The call is explicitly about new representations of key biological processes that regulate ocean carbon storage, and getting those representations into global models. That’s a strong hint that panels will reward proposals that move beyond a bespoke, one-off model built for a single dataset and instead build something that can plug into broader modelling ecosystems.

Second, the UK budget: up to £312,500 (FEC) for the UK component, with NERC covering 80%. In plain English, if your project’s true costed budget is £312,500, UKRI would typically pay up to £250,000, and your institution covers the rest. That’s enough to support a focused team—often a postdoc plus some PI and co-I time, maybe a research software engineer slice, plus computing costs, workshops, and collaboration travel (as appropriate and allowable).

Third, the collaboration structure matters. With NASA supporting US researchers, you can bring in US expertise that’s hard to replicate: satellite ocean colour specialists, biogeochemical modellers tied into NASA data streams, algorithm people who think in terms of retrievals and uncertainty propagation, and the kind of systems thinking that comes from building products meant to be used by thousands.

Finally, there’s an understated benefit: signal and positioning. A successful UK–US modelling award in ocean carbon doesn’t just pay bills. It places you in the stream of people shaping next-generation Earth system modelling. If your long-term plan includes bigger consortia, programme grants, or leadership in major modelling intercomparisons, this is the kind of stepping-stone that looks excellent in hindsight.

Who Should Apply (Eligibility, Fit, and Real-World Examples)

The non-negotiables are straightforward. The project lead must be UK-based at a UK research organisation eligible for NERC funding. If you’re not sure your organisation qualifies, don’t guess—check internally with your research office early. This isn’t the kind of detail you want to discover two days before a deadline.

The UK team members also need to be based at eligible UK organisations. Meanwhile, US researchers are allowed and encouraged, but they must be affiliated with a US institution at the time of application submission, and the US side is expected to be supported via NASA.

Now the more interesting question: who is this for intellectually?

This call screams “apply” if you’re any of the following:

If you’re a biogeochemical modeller who has been quietly irritated for years by how biology gets simplified in carbon export or remineralisation schemes, this is your moment. A proposal that targets a known weak point—say, temperature-dependent remineralisation depth profiles, variable stoichiometry, or trait-based plankton dynamics—fits neatly.

If you sit on the boundary between observations and models, you’re also in a sweet spot. For example, you might combine in situ datasets (BGC-Argo floats, time series stations) with remote sensing (NASA ocean colour products) to constrain biological rates or validate emergent patterns. The call isn’t asking you to collect new observations per se, but it is asking you to improve model representation—and observations can be the scaffolding that keeps a new parameterisation honest.

If you’re a research software-focused scientist—the person who actually makes models usable, documented, tested, and mergeable—don’t underestimate your relevance here. Global models aren’t impressed by beautiful equations that can’t be integrated cleanly. A proposal that includes strong software practices (modular code, benchmarking, reproducibility) is often the difference between “interesting” and “adopted.”

A few concrete “fit” examples:

• A UK lead working on a global marine biogeochemical model partners with a NASA-supported US expert in ocean colour to improve representation of phytoplankton functional types and link them to carbon export efficiency.
• A team develops a new parameterisation for particle aggregation and sinking that better matches observed variability, then tests it across multiple regions and scales—showing it doesn’t fall apart outside the training area.
• A project builds a biologically informed emulator or reduced-complexity module that can be slotted into larger models without turning runtime into a slow-motion disaster.

Why the NoI Matters More Than You Think

This opportunity requires a Notification of Intent (NoI). That’s not a friendly suggestion. It’s eligibility. No NoI, no full application.

Treat the NoI like a trailer for a film you intend to sell at Cannes: short, clear, and impossible to ignore. Its job is to help funders anticipate volume, shape reviewer pools, and confirm that your proposal is aligned. Your job is to make sure your project is correctly understood early—because misunderstandings at the NoI stage can haunt you later.

Insider Tips for a Winning Application (The Stuff Reviewers Actually React To)

A strong application here is less about fancy language and more about making model improvement feel inevitable—like the work must be done and your team is the obvious group to do it. These tips will help you get there.

1) Pick one biological “pain point” and go deep, not wide

Reviewers love ambition right up until it turns into sprawl. Choose a limited set of biological processes that truly control carbon storage outcomes—then show you understand the mechanics, uncertainties, and how you’ll test improvements. “We will improve biology in global models” is a slogan. “We will implement and benchmark a new representation of X, quantify sensitivity of Y, and demonstrate impact on Z carbon storage metric across multiple basins” is a plan.

2) Define what success looks like in model terms

Avoid vague aims like “better representation.” Better how? Faster? More stable? More accurate against particular observations? More transferable? Name your evaluation metrics. Examples include improved skill against export proxies, improved vertical carbon profiles, better seasonal timing of blooms, or reduced bias in carbon sequestration timescales. If you can state what would make you declare partial failure, you look more credible, not less.

3) Build validation into the project spine, not as an afterthought

A common modelling trap is spending 80% of the project building something new, then rushing validation at the end. Instead, design iterative loops: implement → test → diagnose → revise. If you can show early “checkpoint” comparisons with observational products (including NASA-relevant datasets), you’ll read as realistic.

4) Make the UK–US collaboration intellectually essential

Don’t treat your US partners as decorative. Reviewers can smell “international partner for vibes” instantly. Make the NASA-supported contribution central: unique datasets, algorithm expertise, mission-linked products, or modelling frameworks. Explain exactly what the US side contributes that the UK side does not—and vice versa.

5) Show a credible pathway into global models people actually use

This call wants representations “for use in global models.” That implies adoption potential. Mention how you will package the work: modular code, documentation, version control, test cases, and engagement with model maintainers. If your plan ends with “and then we publish,” it will feel incomplete.

6) Budget like someone who has run a project before

Don’t starve the project of the unglamorous essentials: computing time, storage, software support, and collaboration time. Also don’t overload with meetings. One or two well-planned collaboration workshops (virtual plus one in-person, if justified) can be more productive than a calendar full of “synergy calls.”

7) Write the case for support like a narrative, not a filing cabinet

Reviewers are human. They respond to clear storylines: here’s the current limitation, here’s why it matters for carbon storage projections, here’s the biological mechanism, here’s the modelling change, here’s how we’ll test it, and here’s how it feeds into global modelling practice. If you make them assemble the logic themselves, they may assemble it incorrectly.

Application Timeline: A Realistic Plan Working Back from 14 July 2026

The deadline is 14 July 2026 at 16:00 UK time. If you’ve ever submitted to UKRI systems, you know 15:59 is not a lifestyle.

Start by planning backwards about four to five months for a competitive collaborative proposal. Roughly:

In March 2026, aim to have your core scientific concept nailed down and your UK–US partnership agreed in principle. This is when you decide the specific biological process focus, identify the target model(s), and confirm who is responsible for what. If you leave partner roles fuzzy until late spring, you’ll end up with overlapping work packages and missing validation.

In April 2026, draft the skeleton of the case for support and agree on datasets, benchmarks, and success metrics. This is also the month to align on software approach and how outputs will be made usable by others. At this stage, you should also be talking to your institution about FEC costing so there are no budget surprises.

By May 2026, you want a complete first draft circulating for internal review, including a coherent management plan and realistic work plan. Build in time for the inevitable: a collaborator goes quiet for two weeks, someone flags an over-claim, the budget needs rebalancing.

In June 2026, shift into refinement mode. Tighten the narrative, sharpen the evaluation plan, and make sure every claim has a test attached to it. This is also the time to ensure the NoI requirement has been met and documented in whatever way UKRI expects for eligibility.

Finally, in early July 2026, treat the proposal like software before release: final checks, consistency edits, figure readability, reference sanity, and submission dry-run. Submit at least a day early if you can. Future you will be grateful.

Required Materials: What Youll Need and How to Prepare It

UKRI calls vary in the exact document set and formatting rules, so you should confirm specifics on the funding service platform and the official call page. Still, you can expect the usual suspects—and you’ll be stronger if you prepare them intentionally rather than as a last-minute paperwork sprint.

Most teams will need a well-structured case for support that explains the scientific rationale, the modelling innovation, and how you will test and deliver it. Make sure it reads cleanly even to a reviewer who isn’t a niche expert in your exact sub-process.

You will also need budget and justification based on full economic cost (FEC) for the UK component. Work with your research office early; FEC is not something you want to reverse-engineer in the final week.

Expect to provide CVs or résumé-style summaries for key staff, plus statements on roles. For collaborative calls, clarity about who does what is half the battle.

Finally, because this is UK–US, prepare a short, crisp explanation of the collaboration structure and how NASA-supported US contributors integrate with the UK plan. Even if the US budget isn’t routed through UKRI, reviewers will want to see coordination, not parallel play.

If you want a simple prep checklist, gather and polish:

• Your NoI confirmation/details (since it’s an eligibility gate)
• Draft work plan with milestones and decision points
• Data and model access plan (including computing resources)
• Budget/FEC with justification for staff time and any travel or workshops
• A validation and benchmarking plan that doesn’t depend on miracles

What Makes an Application Stand Out (Likely Review Priorities)

Although the call text is brief, the intent is clear: fund work that materially improves global modelling of ocean carbon storage by representing biology better. So what will separate “fundable” from “interesting but not quite”?

First, scientific importance with clear climate relevance. Your proposal should connect biological process representation to outcomes that matter: sequestration timescales, air–sea CO₂ flux implications, regional carbon export differences, or uncertainty reduction in projections.

Second, technical credibility. Reviewers will look for proof that your team can implement and test modelling changes without the project collapsing under complexity. Show that you understand model constraints, computational costs, and integration realities.

Third, validation discipline. This is where many modelling proposals wobble. A standout application spells out what data products will be used, what comparisons will be run, what “better” means quantitatively, and how uncertainty will be handled.

Fourth, transferability and adoption. If you can convincingly argue that your new representation can be used in more than one model, or at least can be incorporated into a widely used framework, you’ll score well. Think of it like designing a plug that fits a socket—not a one-off contraption that only works in your lab.

Finally, a collaboration that earns its keep. The UK–US structure should create genuine added value: stronger validation, better data integration, or faster path to community uptake.

Common Mistakes to Avoid (And How to Fix Them)

1) Writing a biology proposal that barely mentions models

This call is modelling-forward. If your proposal reads like an ecology project with a model tacked on, reviewers will notice. Fix it by making the modelling change the central object, and biology the driver of that change.

2) Promising global impact with local evidence only

A single-region fit is not the same as a global representation. If you calibrate in one basin, be honest—and show how you’ll test generality elsewhere. Build a validation plan across multiple regimes (oligotrophic, upwelling, polar, etc.) if feasible.

3) Treating uncertainty like an awkward guest at the party

Biological processes are variable and messy; pretending otherwise weakens your credibility. Instead, name uncertainties and explain how your approach handles them—through ensembles, sensitivity tests, or parameter constraints.

4) Vague roles in a UK–US team

If it isn’t clear who owns which deliverables, you’ll look under-managed. Write roles like job descriptions with outputs attached. Collaboration is not a mood; it’s a schedule.

5) Ignoring the 80% FEC reality

If you budget right up to the cap but forget your institution covers 20%, you may create internal friction late. Talk to your finance/research office early and design a budget they can actually support.

6) Missing the NoI requirement

This one is brutally simple: no NoI, no full application. Fix it by putting the NoI deadline and submission confirmation at the top of your internal project plan and treating it as milestone zero.

Frequently Asked Questions

1) How much money can the UK side request?

The UK component can have a full economic cost up to £312,500, and UKRI typically funds 80% of that FEC. The remaining 20% is usually covered by the UK institution as part of standard UKRI funding rules.

2) Can I include US collaborators?

Yes. This is explicitly a UK–US project, with NASA providing support. US researchers must be affiliated with a US institution at the time the application is submitted.

3) Do I need to be at a specific type of UK organisation?

You need to be based at a UK research organisation eligible for NERC funding. If you’re at a university or major research institute, you often will be eligible—but check. Eligibility is a rule, not a vibe.

4) What does full economic cost (FEC) mean in practice?

FEC is the UK standard approach to pricing the true cost of research: staff time, overheads, estates, equipment usage, and more. You don’t invent it yourself; your institution calculates it using approved methods. UKRI then pays a percentage (here, typically 80%).

5) Is a Notification of Intent really mandatory?

Yes. The opportunity states you must provide a Notification of Intent (NoI) to be eligible to submit the full application. Treat it as a required pre-application step.

6) Is this only for new models, or can I improve existing ones?

The call language points to “new representations” of processes for use in global models. That often means you can improve existing models by implementing better process representations. What matters is novelty and usefulness, not whether you built the whole model from scratch.

7) What kind of biological processes are relevant?

The call doesn’t list a fixed menu, which is both freeing and dangerous. Think about processes that regulate carbon storage: export production, remineralisation depth, ecosystem structure, particle dynamics, microbial loops, nutrient limitation effects on stoichiometry, or temperature-driven rate changes. Then pick a slice you can truly improve and validate.

8) Who do I contact with questions?

The listing includes contacts at NASA and UKRI/NERC support addresses. For proposal mechanics, UKRI funding service support is usually the right route. For science-fit or programme questions, the NERC bio-carbon contact may be appropriate.

How to Apply (Next Steps That Actually Get You to Submission)

Start by confirming two things today: (1) your UK organisation is eligible for NERC funding, and (2) you understand the NoI requirement and timing. Then draft a one-page concept note that states the biological process target, the modelling change you’ll implement, how you’ll validate it, and why the UK–US partnership is essential. That one pager will save you weeks of messy alignment later.

Next, build your team with intention. You want a UK lead who can drive the narrative and delivery, plus collaborators who cover three gaps: biological mechanism expertise, modelling implementation skill, and validation/observation strength (often where NASA-linked partners shine). Get agreement on roles and outputs early, and make someone responsible for integration and project management—because “we’ll coordinate as needed” is not a plan.

Finally, don’t leave submission mechanics to the end. Work with your research office on FEC costing, ensure required documents are in the right formats, and aim to submit before the final day. This is one of those deadlines where the last hour is cursed.

Apply Now: Official Opportunity Link

Ready to apply? Visit the official UKRI opportunity page for full details and application instructions: https://www.ukri.org/opportunity/biological-influence-on-ocean-carbon-novel-modelling-approaches/