---
title: "Forecasting Tipping Points: Uniting climate measurements and models to create an early warning system"
ocid: "ocds-h6vhtk-0497e7"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0497e7"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-0497e7.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-0497e7.json"
source: "Find A Tender Service"
current_stage: "Tender"
buyer: "ADVANCED RESEARCH AND INVENTION AGENCY"
published: "2024-09-04"
---

# Forecasting Tipping Points: Uniting climate measurements and models to create an early warning system

Buyer: ADVANCED RESEARCH AND INVENTION AGENCY  
Current stage: Tender  
OCID: ocds-h6vhtk-0497e7

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## Summary

The Advanced Research and Invention Agency (ARIA) has initiated a procurement process titled "Forecasting Tipping Points: Uniting climate measurements and models to create an early warning system." Classified under the Research services industry (CPV 73110000), this tender falls within the services sector and focuses on developing a sustainable early warning system for climate tipping points. Located in the UK, the procurement is currently in the tender stage. The concept paper submission deadline is 23 September 2024, followed by the full proposal submission deadline on 11 November 2024. This competitive procedure with negotiation encompasses a multi-year field campaign to integrate innovative sensing systems with advanced climate models.

This tender presents a significant opportunity for businesses involved in climate research, AI-driven modelling, and environmental sensing technologies. Companies specializing in these areas, especially those with expertise in low-cost sensing systems and interdisciplinary research, stand to benefit from participating. The procurement method allows for both contracts and grants, offering multiple avenues for securing funding. Organisations with strengths in collaboration across sectors and institutions are well-suited to contribute to ARIA's goal of creating a robust, affordable early warning system for climate tipping points.

## Notice

For more info see here ARIA is an R&D funding agency built to unlock scientific and technological breakthroughs that benefit everyone. We empower scientists and engineers to pursue research at the edge of what is technologically or scientifically possible. We will reach across disciplines, sectors and institutions to shape, fund and manage projects across the R&D ecosystem, from startups to universities, to break down silos and discover new pathways. We are looking for proposals for our Forecasting Tipping Points programme. For more info see https://www.aria.org.uk/forecasting-tipping-points

### Lot Information

Lot 1

Why this programme Major parts of the Earth system are at risk of crossing climate tipping points within the next century, with severe consequences for biodiversity, food security, agriculture, and humanity. Despite the potential impact, we're poorly equipped to characterise the long-term trends of our climate systems, or predict the future risk of runaway, self-perpetuating change. Our best observational datasets are at a nascent stage, while our best climate models are computationally expensive and do not capture all the physical processes we need. What we're shooting for Combining expertise in observation and modelling with innovative sensing systems, we'll look to develop a proof-of-concept for an early warning system for climate tipping points that is affordable, sustainable and justified. We'll achieve this through a targeted deployment of low-cost sensing systems, to be tested in a multi-year field campaign, whose data can be integrated with advances in physics- and AI-driven models to push the frontiers of knowledge for climate tipping points. By unifying these approaches, we're aiming to confidently predict when a system will tip, what the consequences be, and how quickly that change will unfold.Our goal: to create an early warning system for tipping points that equips the world with the information we need to build resilience and accelerate proactive climate adaptation.

Options: Additional funding, scope and duration could be added to any contracts awarded.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/028222-2024 |
| Notice type | Tender Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Selective |
| Procurement method details | Competitive procedure with negotiation |
| Tender suitability | Not specified |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 4 Sep 2024 |
| Submission deadline | 11 Nov 2024 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Active |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | ADVANCED RESEARCH AND INVENTION AGENCY |
| Locality | LONDON |
| Post town | North West London |
| Postcode | NW1 2DB |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI3 Inner London - West |
| ITL 3 | TLI36 Camden |
| Local authority | Camden |
| Electoral ward | St Pancras & Somers Town |
| Westminster constituency | Holborn and St Pancras |
| Delivery location | Not specified |

## CPV Codes

### Divisions

- 73 - Research and development services and related consultancy services

### Codes

- 73110000 - Research services

## Release History

- 4 Sep 2024 at 09:17 - Tender - Tender Notice - https://www.find-tender.service.gov.uk/Notice/028222-2024

## Notice URLs

- http://www.aria.org.uk
- https://www.aria.org.uk/faqs-funding/
- https://www.aria.org.uk/forecasting-tipping-points

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0497e7. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-0497e7.json.
