Klimaat
Participants will learn how to work with meteorological data in QGIS and gain an overview of the software’s key analytical capabilities. By visualizing and analyzing factors such as temperature, precipitation, and wind, participants will gain a better understanding of atmospheric processes and weather systems.
In a world where weather and weather forecasts play an increasingly important role, understanding meteorological processes is essential. From daily weather forecasts to extreme weather events: meteorology affects us all. Geographic Information Systems (GIS) are playing an increasingly important role in this context. GIS is a technology that enables spatial data to be stored, managed, analyzed, and visualized. When combined with meteorological data, GIS offers powerful capabilities for better understanding and visualizing the weather.
By definition, meteorological data is spatial and temporal in nature. Think of temperature, air pressure, precipitation, wind, and cloud cover, which constantly vary in time and space. With GIS, this data can be linked to geographic locations, making weather systems and atmospheric processes visible on maps. This helps in analyzing patterns such as fronts, squall lines, and wind fields, and in interpreting current and historical weather conditions.
Through the use of GIS, meteorological measurements from official monitoring networks, satellites, and private weather stations can be combined. More and more people have their own weather station in their backyard. These observations provide valuable supplementary information that, if properly processed, can contribute to higher spatial resolution in weather maps and analyses.
At Geo-ICT, we understand the importance of these developments. That is why we offer the QGIS and Meteorology course, in which you will learn how to use GIS to analyze and visualize meteorological data. The course focuses not only on the technical aspects but also on understanding the meteorological processes behind the data. This way, you will develop both technical and substantive skills for working with weather data.
Knowledge of QGIS is not required, but is recommended. For those with no prior experience, we recommend taking the QGIS basics course first. Here, you’ll learn the key components of QGIS, so you can get started effectively with this open-source software right away.
The role of GIS in meteorology has grown significantly in recent years. Weather data is becoming increasingly voluminous and complex, while the need for insight and visualization continues to grow. GIS offers unique opportunities to analyze meteorological data within its spatial context. This allows weather situations to be better understood, explained, and communicated.
Some key applications of GIS in meteorology include:
Visualization of weather data
By linking meteorological data to geographic locations, complex datasets can be converted into clear weather maps. This makes patterns in temperature, precipitation, and wind immediately visible.
Analysis of atmospheric processes
GIS enables spatial analyses, such as tracking precipitation areas, analyzing wind patterns, or comparing measurements from different regions.
Support for weather forecasts and interpretation
By combining historical and current data, GIS helps interpret weather situations and assess uncertainties in observations and models.
In the QGIS and Meteorology course, you’ll learn how to apply these capabilities in practice. You’ll work with real meteorological datasets and learn how to answer spatial questions about the weather.
In this course, you’ll not only learn the fundamentals of GIS, but especially how to apply this knowledge to meteorological data. You’ll develop skills that allow you to:
A solid foundation in QGIS is essential for performing meteorological analyses. That is why we focus on:
This foundation enables you to correctly interpret meteorological data and communicate it visually.
After mastering the basics, you’ll move on to more advanced applications. With QGIS, you’ll learn, among other things:
These analyses will give you a better understanding of the spatial variability of the weather and the factors that influence it.
An important part of the course is making meteorological data understandable. QGIS offers powerful visualization techniques that allow you to:
By integrating measurements from private weather stations, you’ll also learn to critically assess data quality and representativeness, and how supplementary data can contribute to a better spatial understanding of the weather.
Our QGIS and Meteorology course is designed for anyone interested in weather, data, and spatial analysis. You should choose this course because:
At Geo-ICT, you’ll not only learn to work with QGIS, but you’ll also develop a deeper understanding of meteorological processes and measurement data. This will better equip you to analyze, interpret, and visualize the weather—with GIS as a powerful tool.
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Contact usOn the first day of the course, participants will be introduced to QGIS and its applications in meteorology. The course explains how geographic information systems help to spatially analyze and understand meteorological data. Participants learn to work with the QGIS interface and set up a proper map project. Meteorological variables such as temperature, precipitation, wind, and air pressure are central to the course. This data is imported from official monitoring networks and private weather stations. Attention is given to data quality and the influence of measurement location and environment on observations. Students learn to represent measurement points cartographically on maps. Color gradients are used to visualize differences in temperature and precipitation. The first simple weather maps are constructed and interpreted. Applications include creating local weather maps and comparing measurements between different locations.
The second day focuses on advanced topics and practical applications of QGIS in meteorology. Participants will learn to perform spatial analyses to identify patterns and variations in weather data. Various data sources will be combined, such as measurements from weather stations and background layers showing elevation or land use. Iso lines, such as isotherms and isohyets, are used to better visualize weather patterns. Wind direction and wind speed are displayed on maps and analyzed. Participants learn to investigate differences between urban and rural measurement locations. Analyzing weather data across multiple time points is also covered. The interpretation of weather situations and local weather differences is central to the course. Attention is given to the professional creation of maps. Applications include improving local weather analyses and presenting weather information for educational, recreational, or practical purposes.
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Understanding and evaluating meteorological measurement
data The student is familiar with the key measurements taken at weather stations, such as temperature, precipitation, air pressure, humidity, wind direction, and wind speed, and understands how the measurement setup and environment influence the results.
Correctly processing weather station data in QGIS
The student can import, manage, and visualize measurement data from both official networks and private weather stations in QGIS, taking into account data quality and measurement location.
Analyzing spatial patterns
in weather data The student can use QGIS to identify and analyze spatial differences and patterns in meteorological data, such as temperature differences between urban and rural areas or variations in precipitation.
Create and interpret weather maps
and visualizations The student can create weather maps with appropriate symbolization, color gradients, and contour lines (such as isotherms and isohyets) and interpret them correctly in a meteorological context.
Identify and implement practical applications of
meteorological analyses The student can use QGIS for practical applications, such as improving local weather analyses with weather station data, comparing measurement series, and presenting weather information for educational, hobby, or professional purposes.
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
Weather maps in the Netherlands are produced by the KNMI, commercial weather companies, and universities, among others. They use data from weather stations, radar, satellites, and weather models to map current and forecast weather conditions.
Weather maps are created by combining meteorological measurement data with geographic information. Measurements of temperature, precipitation, wind, and air pressure are spatially analyzed and visualized in GIS software such as QGIS, often supplemented with model data.
Yes, you can create your own weather maps using data from a private weather station. By importing this data into QGIS and combining it with data from other monitoring stations, you can create a detailed, local picture of the weather.
Weather maps are used for weather forecasts, severe weather warnings, education, research, and recreational purposes. They help us understand weather systems and highlight regional differences in weather.
