TEST TEST

Energy icon
Wind Energy
Utah

Empowering Surface Weather Observation Systems with WMO/GBON-Compliant Solutions for the SOFF Initiative

The Systematic Observations Financing Facility (SOFF) initiative—a collaborative partnership between the World Meteorological Organization (WMO), United Nations Development Programme (UNDP), UN Environment Programme (UNEP), and various other financing entities—is a game changer for weather observations in so-called Least Developed Countries (LDC) and Small Island Developing States (SIDS).

Designed to bridge the data gap, this transformative initiative offers financial and technical assistance to establish and maintain weather stations and upper-air stations. The WMO has provided the specifications for the weather stations, requiring that they comply with the Global Basic Observing Networks (GBON) standard as specified in the Manual on the WMO Integrated Global Observing System (WMO-No. 1160).

By bolstering early warning systems and improving forecasting accuracy, SOFF is poised to save lives, safeguard livelihoods, and empower nations with invaluable weather insights.

Welcome to the forefront of weather observation advancements. Join us in shaping a resilient future.


Inspiring Examples of Our Supported Projects

Discover the success stories of the meteorological networks we currently serve and support. Our weather stations have been implemented worldwide and are trusted by multiple meteorological services working in extreme environments.

Be inspired by real-life examples.

Learn how our open-platform, future-proof, and sensor-agnostic systems have become a cornerstone of modernizing legacy automated weather station (AWS) networks and implementing new stations.

Why choose Campbell Scientific systems for your SOFF solution?

WMO-compliant GBON monitoring systems

We offer GBON-compliant weather stations designed specifically for SIDS and LDCs seeking SOFF funds. Our GBON AWS solutions are fully WMO compliant, meeting the highest standards for weather observations. At the same time, the data from the stations can be uploaded directly to WMO Information System 2.0 (WIS 2.0) via MQTT or (S)FTP, guaranteeing the high availability of data that the WMO and SOFF require. We take pride in the fact that Campbell Scientific was the first to successfully implement WIS 2.0 for a National Meteorological and Hydrological Service (NMHS) organization.

In other words, we can provide your complete solution in the configuration of your choice—compliant with SOFF and GBON requirements—allowing you full control over your stations and data.

Comprehensive support and training 

As an ISO-certified organization, we provide extensive professional solutions, training, and calibration to ensure successful deployments and operations.

Unmatched durability to outlast your investment

Our stations are built to withstand extreme environments, ensuring consistent and reliable data collection for years.

Learn more about our meteorological solutions.

Meteorology: National Weather Network Solutions

Click the image to see the brochure.

Extend your capabilities with the NEO web platform.

The NEO web platform provides you with the following:

  • A forecasting tool to collect, process, and display data from many sources, including observation networks, satellites, model data, radar, lightning imagery, etc.
  • A user-friendly interface to monitor observation networks in real-time and generate surface synoptic observations (SYNOP)
  • An early warning system to receive, set up, and share warnings, alerts, and common alerting protocol (CAP) messages 

Why should you value long-term maintenance and support?

With regular maintenance and support from our expert team, always close to your location from one of our 16 offices, you can trust the required data availability and that your data will remain accurate and reliable over time. Campbell Scientific also has an extensive global network of trusted, skilled partners to help deliver a range of services, ensuring that your equipment performs far into the future.