MAGO SEASONAL CLIMATE FORECAST VIEWER
MAGO Seasonal Climate Forecast Viewer
Easily access seasonal climate forecasts tailored to your specific area and variables of interest. Adapt to climate change and unlock the power of foresight! Available for free.
End Users
Designed for water managers, irrigation communities, farmers, and scientists seeking precise climate forecasts.
Solution Overview
Visualize various climate variables on a specific date via our interactive map. Dive deeper by selecting a pixel on the map to reveal a comprehensive graph. You can then download the corresponding time series in CSV format, encompassing hindcasts of anomalies since 2017 for the selected site, month, and lead time at a 100 x 100 km resolution
Key Innovation
MAGO Seasonal Climate Forecast Viewer stands out as one of the first free tools enabling map visualization and downloading of seasonal forecasts for multiple variables and entire time series—facilitating insightful comparisons with observed events. Leveraging the Climate Data Store Toolbox, it utilizes specific preliminary codes with limited functionality from the toolbox catalogue.
Features
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Select your area, date, and variable of interest.
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Available variables include wind components, temperature, evaporation, solar radiation, and precipitation. '10m_u_component_of_wind anomaly', '10m_v_component_of_wind anomaly', '2m_dewpoint_temperature anomaly', '2m_temperature anomaly', 'Evaporation anomalous rate of accumulation', 'Surface solar radiation downwards anomalous rate of accumulation','Total precipitation anomalous rate of accumulation'.
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Default model: ECMWF system 51—known for robustness.
Case Study
Part of the MAGO Prima project, this solution is undergoing testing in the Mediterranean area.
Technology Stack and Methodology
To access and process data, the Climate Data Store Toolbox was utilized. The toolbox is a free web-based application that empowers users to explore and visualize earth observation and climate data. Its custom script editor allows users to create and execute their own Python code for processing and analyzing the data.
Collaboration and Partnerships
Developed by CETAQUA, this solution has been tested with the collaboration of stakeholders such as MENBO—the Regional Network promoting integrated water resources management in the Mediterranean Region.
Map visualization, parameters selection and time series plot
LINK to last stable version
About
Various free and open-source solutions have been developed to provide water managers, irrigation communities, farmers, and scientists with access to water quality information from Sentinel 2 satellites, as well as accurate historical and future climate data from the Copernicus Climate Data Store.
In a nutshell:
1. These tools operate within well-established, freely accessible web platforms, specifically the Sentinel Hub EO Browser and the Copernicus Climate Data Store Toolbox. By leveraging these platforms, users can benefit from the reliability and popularity enjoyed by thousands of other users.
2. These tools consist of open-source codes that have been integrated into these web platforms, allowing users to execute and customise the code to their needs.
3. The tools enable the processing of free datasets, including satellite images and climate modelling data.
4. Users can conveniently view the results directly on the web platform's interface, presented as interactive maps and time series plots.
5. All that's required to run these applications is an internet connection, and it's best to use a computer for optimal interface visibility and file downloads.
6. These tools have been developed with great care and dedication by CETAQUA, the coordinator of the PRIMA MAGO Project, with the aim of benefiting end-users. We encourage you to make full use of these tools and share them with others!