SOFF Action Report 2025
Time to scale up

The report highlights the progress of the Systematic Observations Financing Facility (SOFF) and its partners in closing the basic weather and climate data gap. It demonstrates the importance of this work and outlines the path forward through innovative finance solutions such as a new Impact Bond.

In Brief

About the impact of SOFF


Together for impact
SOFF in numbers
Champions' voices

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Together for impact


Reliable surface observations remain the invisible ingredient of every forecast, early warning and climate response, yet in many developing countries these systems are critically under-resourced. The consequences are global – weakening resilience, threatening economies and putting lives at risk.

The Systematic Observations Financing Facility (SOFF) was established in 2022 by WMO, UNDP and UNEP at the request of 193 governments to help developing countries meet the requirements of the Global Basic Observing Network (GBON). Its innovative operational model embodies the COP30 Mutirão principle – countries and partners working together to deliver a global public good.

Remarkably quickly, the Facility has already started providing results-based grants and technical support to over 60 countries. SOFF’s track record has demonstrated proof of concept – delivering with speed and low cost.

Yet urgent needs remain, and demand is rapidly growing. To deliver and sustain results, more countries, businesses and partners will need to join the SOFF coalition, bringing resources and expertise to close the weather and climate data gap for the long term.

Now is the moment to scale up – transforming a proven model into global impact that powers stronger early warning systems, saves lives, protects livelihoods and safeguards economies through better data.

A new climate fund


3.5years in operation

IN DEMAND


101countries have requested
support
149countries eligible for
SOFF support

Responsive


 
66
countries programmed for support
 
61
countries in Readiness phase
 
18
Investment phase requests approved
USD
116
MILLION
country funding approved

Operational


8stations already starting to share data

Inclusive


70+partners

Potential impact


 
5X
increase in weather and
climate data sharing
USD
5
BILLION
in direct annual
benefits
USD
160
BILLION
annual benefits across
critical sectors
“Closing the basic weather and climate data gap is one of the fastest actions we can take for global resilience.”

Prof. Celeste Saulo


Secretary-General of the World Meteorological Organization (WMO) and SOFF Steering Committee co-chair

“Belgium calls on governments, philanthropies, development banks, and the private sector to join this collective effort — to enlarge the SOFF funders’ base. Together, we can close the weather and climate data gap.”

Ambassador Willem Van de Voorde


Special Envoy for Climate & Environment of Belgium and SOFF Steering Committee co-chair

1. Science makes the case


In 2025, the European Centre for Medium-Range Weather Forecasts (ECMWF) provided the strongest evidence to date that closing basic weather and climate data gaps significantly improves the accuracy of forecasts.

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Scientific proof


The ECMWF SOFF Impact Experiments showed that adding surface and upper-air observations in data-scarce regions reduces forecast uncertainty by more than 30 percent in Africa and by up to 20 percent in the Pacific Islands. Upper air observations in the tropics proved especially powerful, with measurable improvements seen within just 12 hours. The conclusion is clear: more data means better forecasts — with benefits felt far beyond national borders.

A dangerous global gap


Yet the regions where these gains matter most remain critically under-observed. In Small Island Developing States and Least Developed Countries, only nine percent of required surface stations and 13 percent of upper-air stations are reporting as agreed internationally. The 39 fragile and conflict-affected states together have only seven reporting surface stations. By contrast, Germany alone has more compliant stations than the entire African continent. These blind spots put resilience, livelihoods and economies everywhere at risk.

Satellites cannot do it alone


Satellites now provide around 85 percent of the data feeding into forecasting models and are indispensable. But they are not self-sufficient. Satellite depend on surface observations for calibration and validation. And ECMWF experiments confirm that surface observations have outsized contributions to forecast skill, with their removal increasing forecast errors significantly. Modest investments in ground-based stations in underserved regions yield outsized global returns.

From science to sustained solutions


Closing the weather and climate data gap requires more than building infrastructure — it demands a sustainable system. This is what the Systematic Observations Financing Facility (SOFF) provides. Its three-phase model ensures lasting results:

  • Readiness: assessing gaps and preparing GBON compliance plans
  • Investment: grants to build or rehabilitate networks; and build human and institutional capacity
  • Compliance: long-term, results-based support to keep data flowing

This operational model transforms science into action, ensuring that every country can contribute to, and benefit from, stronger global forecasting. ECMWF provides the evidence. SOFF provides the mechanism. Together, they make the case: closing basic the weather and climate data gap is one of the most cost-effective global investments in resilience.

Why can’t satellites work alone


Satellites have revolutionized weather prediction. They provide continuous global coverage and account for the vast majority of data in modern forecasting models. But relying on satellites alone is not enough. 

They cannot measure everything — for example, conditions close to the ground where people live, farm and build. Nor can they fully replace direct observations of the atmosphere needed to understand local extremes. Without complementary surface and upper-air data, even the most advanced satellite programs fall short.

The lesson is clear: satellites are powerful, but they are only one part of the system. Balanced with ground-based observations, they deliver reliable, actionable forecasts. Without that balance, the world’s forecasting system is incomplete.

Why modest investments make a big difference


Basic weather and climate observations are a rare example of local action with global impact. Building or rehabilitating a handful of surface stations or upper air systems in under-resourced regions costs only a fraction of a single satellite program. Yet the benefits spread far beyond borders, strengthening early warnings and protecting economies worldwide.

The ECMWF SOFF Impact Experiments confirmed this multiplier effect. When new ground-based observations are added in Africa and the Pacific, forecast skill improves across whole regions within hours — and those improvements extended globally.

Why AI needs better data


Artificial Intelligence (AI) and Machine Learning (ML) are beginning to transform forecasting. From short-term nowcasting to medium-range outlooks, AI models can capture patterns and deliver results faster than traditional methods. But like any model, they are only as strong as the data they rely on.

The ECMWF SOFF Impact Experiments showed that adding surface observations in data-scarce regions significantly improves forecast accuracy. The same principle applies to AI: without reliable ground-based data, outputs risk being biased or incomplete.

SOFF strengthens the quality and quantity of surface-based observations, ensuring they are shared internationally through the WMO Information System. These “ground truths” are essential for training and validating AI models. With better data, AI can predict extreme events more precisely, support earlier warnings and help forecasters everywhere make smarter use of new technologies. Closing the observation gap is not only about improving today’s forecasts — it is also about unlocking the full potential of tomorrow’s innovations.

2. Action

Growing Portfolio


With over 100 countries requesting support, SOFF’s portfolio has been expanding quickly. Since the first approved Investment Phase funding requests in November 2023, new stations have begun reporting into WMO systems. More and more are being installed and upgraded, putting countries on track toward full compliance with the Global Basic Observing Network (GBON).

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Readiness: building the foundation


As of October 2025, 61 countries have entered the Readiness Phase, actively supported by 20 advanced meteorological services as Peer Advisors and nine UN organizations and multilateral development banks as Implementing Entities. Most countries have already assessed its national observation gap against WMO’s June 2023 global baseline and developed a contribution plan to close it sustainably. At the same time, the Country Hydromet Diagnostics tool was applied to assess the capability of national services to observe, forecast and deliver weather and climate information to users.

Investment: moving to delivery


Momentum is accelerating. Eighteen countries have advanced to the Investment Phase. Work is under way to install new stations, rehabilitate existing ones and strengthen national capacities. Crucially, data from SOFF-supported stations are already flowing into WMO monitoring systems, demonstrating proof of concept for SOFF’s results-based approach.

A growing global impact


These early results show strong national ownership and a collective commitment to the global public good of reliable weather and climate data. As the portfolio expands, SOFF is demonstrating that its model can deliver sustained progress — building stronger national services, closing critical data gaps, and reinforcing the foundation of global forecasting.

Countries in Action


Click below to explore highlights: How SOFF makes the difference in some of the supported countries.

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Bhutan
Mozambique
Cabo Verde
Tanzania
Rwanda
Kiribati
Amazon
Caribbean

3. Engaged Community


At COP30, world leaders are calling for whole-of-society climate action, a global Mutirão. SOFF is a showcase of what this means. Its community brings together countries, advanced meteorological services as Peer Advisors, United Nations agencies and multilateral development banks as Implementing Entities, WMO as technical authority, and partners from civil society and the private sector.

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Peer support that builds trust


So far, 20 National Meteorological and Hydrological Services (NMHSs) are actively engaged as Peer Advisors. They provide hands-on technical and institutional support, drawing on decades of operational experience. This collaboration is not one way. Through South–South cooperation, countries that once faced similar challenges now guide others. For example, the Nigeria Meteorological Agency (NiMet) is advising countries in West Africa on station compliance with internationally agreed standards. Across SOFF regional workshops, NMHS leaders stress that Peer Advisors are more than technical experts — they are trusted allies who walk with them step by step.

Implementing partners that multiply impact


SOFF currently works through nine Implementing Entities — UN agencies and multilateral development banks — that channel finance and manage SOFF’s investment grants in close collaboration with countries and peer advisors. They act as the operational bridge between SOFF funding and national implementation, ensuring GBON upgrades are integrated into wider development and resilience programmes rather than stand-alone projects.

In Samoa, for example, SOFF’s USD six million investment will be fully embedded in the World Bank’s PREPARE–Samoa project. By pooling resources and aligning operations, SOFF and its partners make systematic observations the backbone of multi-hazard early warning systems.

Linking to the Global Climate Agenda


SOFF is working closely with other international initiatives to overcome fragmentation and amplify results. At COP28, it signed a collaboration framework with the Adaptation Fund, the Green Climate Fund, the Climate Investment Funds, the Global Environment Facility and the Climate Risk and Early Warning Systems (CREWS) Initiative. This joint action recognizes that systematic observations are the foundation of all climate resilience. SOFF also underpins the United Nations Early Warnings for All (EW4All) initiative, ensuring that better data feed directly into life-saving alerts. In the Maldives, for instance, SOFF’s USD 4.9 million investment is unlocking a USD 25 million from the Green Climate Fund, linking data to early action.

SOFF Community of Practice in Numbers

Countries


61countries already benefitting from SOFF support

Operational Partners


50+agencies

Partnerships agreements


Technical Webinars


500+participants

Events


7regional and global workshops

Experts Joining Forces


SOFF’s Community of Practice keeps the spirit of collaboration alive beyond workshops and country visits.

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Through regular webinars on WMO Information System implementation, calibration and private-sector engagement, partners from every region come together to share expertise, exchange questions and troubleshoot challenges in real time.

This solidarity is reinforced by the SOFF Moodle platform, developed with WMO’s Education and Training Office. It provides an open, interactive space where practitioners co-create solutions and build collective knowledge — turning peer support into a dynamic, ongoing process.


Insights from the Experts

Members of the SOFF Community of Practice share their thoughts on the role of SOFF and the difference they are making.

Foundation for Early Warnings


The United Nations Early Warnings for All (EW4All) initiative aims to ensure everyone is protected by life-saving alerts by 2027. SOFF is recognized as both a foundation for and delivery vehicle of this effort.

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Early Warnings for All Logo

By investing in GBON-compliant stations, SOFF is closing the critical data gaps that underpin forecasting and early warning systems. In 2024–2025, SOFF support has been rolled out in more than 60 countries, with 20 country meteorological services engaged as Peer Advisors to guide implementation.

SOFF also strengthens coordination with key partners, including the Climate Risk and Early Warning Systems (CREWS) Initiative, to align investments and avoid fragmentation. In practice, SOFF delivers the observation infrastructure, while CREWS and others build operational and communication systems. This layered approach ensures that systematic observations are directly linked to the delivery of early warnings, making EW4All implementation more effective.


Partnering to close Africa’s data gap


SOFF’s work is embedded in multi-partner initiatives to improve weather observations in Africa and enhance countries’ resilience.

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In 2024, SOFF formalized a partnership with the African Development Bank through its Climate Action Window, following a decision of the SOFF Steering Committee.

This collaboration combines SOFF’s long-term, grant-based finance and technical assistance with AfDB’s climate resources to accelerate Africa’s adaptation actions. By working together, SOFF and AfDB aim to secure timely financing that delivers accurate early warnings for the continent’s most vulnerable countries.

SOFF is also advancing the Water at the Heart of Climate Action initiative across Africa. In Ethiopia, Rwanda, South Sudan and Uganda, SOFF funds the generation and exchange of basic weather and climate data helping disaster management authorities provide timely and reliable warnings. These efforts place water security — one of the most climate-sensitive sectors — at the center of resilience building, ensuring decisions on floods and droughts are informed by accurate data.


4. Far-Reaching Impacts


Closing the basic weather and climate observation gap in the 77 Least Developed Countries and Small Developing States would generate a ten-fold increase in the data shared through the Global Basic Observing Network (GBON). This would be a game-changer — feeding the world’s forecasting models with richer, higher-quality information and multiplying benefits for all.

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The value of better forecasts


The economic case is clear. A joint World Bank and WMO study estimated that high-quality and timely weather forecasts could unlock USD 160 billion per year in benefits across weather-sensitive sectors such as agriculture, transport, water and energy. This figure is conservative: it excludes non-financial benefits such as lives saved, avoided losses and improvements to well-being. The full value, especially for developing countries, is far greater.

Benefits that far outweigh costs


According to the World Bank, meeting GBON standards could bring more than USD 5 billion in direct benefits every year. The benefit–cost ratio exceeds 25, meaning that every dollar invested in strengthening global observations returns more than 25 times its value. Few other investments match this scale of return.

Beyond economics


While the financial benefits alone are compelling, the impacts of better data go further. Accurate and timely forecasts underpin disaster risk reduction, food security, health protection, water management and energy planning. They reduce the human and economic costs of extreme weather, build resilience to climate change, and help societies adapt to mounting global pressures. For the world’s most vulnerable countries, stronger observations mean stronger protection — and greater opportunity to thrive.

Natural disasters


Extreme weather events are becoming more frequent, more destructive, and, crucially, more unpredictable. The speed with which storms, floods and fires now intensify is exposing the limits of today’s forecasting systems.

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Escalating extremes


According to the World Economic Forum’s Global Risks Report 2025, climate-related hazards and extreme-weather events are now among the top global threats in both likelihood and impacts. In 2024, hurricane winds were stronger than ever before. The wildfire season started earlier and ended later than ever, spanning almost the entire year. Rainfall in many countries brought a year’s worth of water in days or even hours, flooding entire neighborhoods. What was unique about these events was how quickly they grew in intensity. This new behavior of storms is increasingly seen as a result of ongoing climate change (EOS Data Analytics). Hurricane Erin, a Category 5 storm that formed over Cape Verde in August 2025, evolved into the most rapidly intensifying hurricane ever recorded in the Atlantic before September 1. Within just 15 hours, the storm exploded from Category 1 to Category 5, with sustained winds above 160 mph.

Forecasts that failed


According to Munich Re, worldwide natural disasters in 2024 caused USD 320 billion in losses (up from USD 268 billion in 2023, adjusted for inflation). Weather catastrophes accounted for 93 per cent of these losses. Poor or late forecasts contribute to such outcomes. In October 2023, Hurricane Otis turned from a modest tropical storm to a Category 5 hurricane within 24 hours. It devastated Acapulco, Mexico and the surrounding area. Forecast models failed to predict this rapid intensification due to limited data availability in the Eastern Pacific. Experts described it as “one of the biggest and most consequential forecast-model misses of recent years.” Without accurate forecasts, Otis struck almost without warning, causing an estimated USD 12 billion in damage and at least 52 fatalities.

The case for better data


To reduce these losses, it is paramount to improve early warnings through stronger observation systems. Additional surface and upper-air data reduce forecast error, and smaller errors increase forecast lead time — both critical to early warning.

Heat


Extreme heat is now one of the deadliest and fastest-growing climate risks. Temperatures are reaching record highs across continents, exposing billions of people and workers to dangerous conditions. Without better data and stronger early warning systems, the toll on lives, livelihoods and economies will continue to rise.

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Escalating impacts


In July 2024, the global daily average temperature reached 17.16°C, surpassing the 2023 record, while July 2025 ranked among the three warmest on record. The UN Secretary-General has warned of a global “extreme heat epidemic,” with temperatures exceeding 50°C across multiple continents. Extreme heat already causes more than 500,000 deaths each year — around 30 times more than tropical cyclones — while driving economic losses and widening inequalities. Africa experienced one of its hottest years in 2024, with up to 118 million people projected to be at risk by 2030 without adaptation.

Human and economic costs


Heatwaves are a growing threat to health, work and productivity. Over 70 percent of the global workforce (2.4 billion people) are regularly exposed to high heat levels. In Africa, the Middle East and South Asia, more than three-quarters of workers face dangerous conditions. In Mali, late March 2024 brought temperatures of 48.5°C, causing over 100 deaths in just a few days.

The case for better data


Solutions exist. Heat action plans, worker protections and targeted response measures can save lives — but they depend on accurate and timely warnings. Improved observations feed the heat-health warning systems that guide shifts in work schedules, cooling measures and protective equipment. According to the UN Secretary-General’s Call to Action on Extreme Heat, scaling up such systems in 57 countries could save almost 100,000 lives every year. As WMO Deputy Secretary-General Ko Barrett underlined“Every single death from extreme heat is preventable.”

Wildfires


Wildfires are spreading faster, burning longer, and causing greater damage than ever before. The global area affected is expanding, and smoke from these fires is now a major health hazard across continents. Accurate forecasts are vital to anticipate conditions, reduce risks and protect lives.

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Escalating destruction


By mid-2025, wildfires had burned more than 100 million hectares worldwide, with major impacts in Africa, Europe and North America. The year brought an extended and intensified season, from January fires in California to record-breaking outbreaks across Europe and widespread fires in South Korea and Canada. These events have caused heavy loss of life, destruction of property, and severe damage to ecosystems. In California alone, fires caused an estimated USD 53 billion in losses.

Smoke and health impacts


Wildfires also have profound environmental and health consequences. They release billions of tonnes of carbon dioxide into the atmosphere and create massive smoke plumes that travel hundreds of miles. The fine particulates carried in this smoke can cause serious harm to lungs and hearts, particularly in children, older adults and people with pre-existing conditions.

The case for better data


Weather forecasts are one of the most effective tools for reducing wildfire risk. They predict dangerous conditions such as high temperatures, low humidity, strong winds and dry lightning — all triggers for extreme fire behavior. Timely forecasts enable early warnings, community evacuations and resource planning. During an active fire, accurate weather data supports tactical decisions, keeping firefighters safe and improving containment. Expanding surface observations strengthens these forecasts and makes them more reliable, turning data into a frontline defense against wildfire disasters.

Agriculture


Agriculture is one of the sectors most dependent on weather and climate data. Reliable forecasts help farmers protect crops, manage risks and invest with confidence. For a sector valued at more than USD 4 trillion globally, better data means stronger resilience, higher productivity and improved food security worldwide.

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Unlocking value


Farmers adapt practices and investment decisions based on the information they receive. Evidence shows that investments in improved farmer-centred forecasts deliver benefit–cost ratios as high as 100:1. The impact is particularly important in Africa, where half of the population relies on agriculture for their livelihoods.

Country examples


The benefits are measurable. In Senegal, climate model simulations show that providing farmers with forecasts of a drier-than-average rainy season could increase their incomes by up to 13.8 percent. In Peru, better frost warnings create benefits of USD 100 million over 10 years, equivalent to USD 30–50 per household. In Ethiopia, a modest improvement in forecast accuracy reduced the probability of farmers reporting crop losses by four per cent. In Nigeria, farmers were willing to pay USD 39 million per year for improved forecasts.

The case for better data


Agriculture depends on forecasts that are only as good as the data behind them. Basic surface and upper-air observations provide the inputs needed to predict rainfall, drought, frost and heat. Strengthening these observation systems ensures that farmers — particularly in vulnerable regions — can make better decisions, safeguard harvests and support global food security.

Insurance


The insurance industry is under mounting pressure as climate-related losses climb year after year. Extreme weather events are driving record claims, making accurate forecasts essential for both insurers and policyholders to reduce risks and costs.

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Escalating losses


In 2024, insured losses reached USD 140 billion, driven by powerful hurricanes, severe thunderstorms and floods. In 2025, unprecedented wildfires in California and major thunderstorms in the United States contributed to USD 80–100 billion in global insured losses in just six months — the second costliest half-year on record after 2011.

Encouraging pre-emptive action


More precise forecasts allow insurers to act before disasters strike. With hyperlocal weather data, they can send targeted alerts to policyholders, prompting evacuations or protective measures. One company’s analysis found that if just one in ten cars were moved before a hailstorm, insurers could avoid millions of dollars in claims.

The case for better data


Insurance depends on accurate risk modelling, which in turn relies on reliable weather and climate observations. Better data improves forecasts, reduces fraud, lowers the number and severity of claims, and enables proactive risk management. Strengthening observation systems is therefore not only a climate resilience measure, but also a way to stabilize markets and protect policyholders worldwide.

Migration


Climate change is becoming an increasingly important driver of human mobility, alongside conflict and economic pressures. Rising sea levels, prolonged droughts and more frequent extreme weather events are already reshaping where people can live, with projections pointing to dramatic increases in climate-related migration in the coming decades.

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A growing challenge


The number of refugees and forcibly displaced people has nearly doubled in the past decade. While most move within their own countries, cross-border migration is also rising. The International Organization for Migration (IOM) estimates that climate change could displace up to 1 billion people in the next 30 years, with other studies projecting 1.2 billion by 2050 and 1.4 billion by 2060. Today, less than 1 per cent of the planet is considered borderline uninhabitable; by 2070, this could increase to 19 per cent.

Risks and pressures


Climate migration can be a “threat multiplier,” worsening existing risks such as crop failure, disease and social instability. Some of the most vulnerable regions, particularly in developing countries, are projected to face major changes in temperature, precipitation patterns and sea levels. Responding to this challenge requires adaptation in affected areas, assistance for those who must leave, and support for receiving communities.

The case for better data


Improved climate and weather forecasts are essential to anticipate and plan for migration flows. Accurate data can help individuals understand risks and make proactive decisions about relocation or adaptation. For governments and humanitarian organizations, forecasts can identify hotspots of displacement risk, inform policy, guide resource allocation and enable targeted aid before crises escalate. Strengthening basic observation systems is therefore not only about better forecasts — it is about managing one of the most profound human challenges of this century.

5. Scaling up with Innovative Finance


SOFF is combining direct donor contributions with innovative finance to scale delivery. At COP30, it is introducing the Systematic Observation Impact Bond — a pioneering instrument that will mobilize upfront capital and accelerate action to close the basic weather and climate data gap.

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The scale of the data gap


Nearly 90 per cent of the basic weather and climate data required from the 77 Least Developed Countries and Small Island Developing States is missing. These countries — at the core of the SOFF mandate — operate barely one in ten of the stations mandated under the internationally agreed GBON standard. Among the required stations, about a quarter will need to be newly built, highlighting the scale of investment required to close the gap and sustain the global flow of essential weather and climate data.

Closing the funding gap


Closing the weather and climate data gap in these countries requires about USD 500 million for observation infrastructure and human capacity, plus estimated USD 50 million per year to sustain operations in the long-term. Progress is under way: more than USD 100 million has already been allocated, enabling the first 18 countries to enter the Investment Phase. Yet around USD 200 million is urgently needed by 2026 to support 30 more countries moving to investment. Mobilizing these resources would allow SOFF to act at scale and turn readiness into results.

Innovative finance for urgent action


Delivery with speed is critical. Innovative finance instruments can shorten significantly the time between decision and impact. SOFF’s new Systematic Observation Impact Bond will front-load resources so that networks and capacities can be strengthened without delay. It aims to mobilize USD 200 million from investors backed by public and private donors to close the most urgent data gaps— with positive ripple effects across early warning systems and climate-sensitive industries.

A tangible solution at COP30


The Systematic Observation Impact Bond is part of the COP30 Action Agenda, showing that closing the weather and climate data gap is about implementation — a direct response to the Global Stocktake. It represents a tangible solution to a clearly defined problem: financing the observations that underpin global forecasting. It also reflects the principle of climate justice: financing climate resilience begins with financing data justice. Linking funding to measurable outcomes — new GBON-compliant data flowing into WMO systems — makes this instrument transparent and accountable.

A call to investors and partners


To address this challenge with the required urgency, investors, bilateral donors, philanthropies and businesses are invited to join this effort. Together, these resources will help close the funding gap, accelerate implementation and strengthen the forecasts that protect lives and economies.

SHARE. JOIN. INVEST.


The Systematic Observation Impact Bond—a pioneering finance instrument—will help close the weather and climate data gap in 30 countries. It aims to mobilize USD 200 million by the end of 2026 to enable a five-fold increase in internationally shared weather and climate data.

Visit the Impact Bond webpage to learn more