Climate services
Listed here are other resources related to Climate services tag:
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Learn how to detect areas covered with snow, ice or cloudy areas.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to recognize burnt areas.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to identify hotspots.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to identify areas of drought and heatwaves.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to identify vegetation free areas as well as how to identify different types of desert surface such as sand or desert pavement.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to distinguish between natural and human modified areas.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Learn how to discriminate between land and areas of water like oceans, seas, lakes, rivers or inlets.
In this module you will be able to identify geographical features and surface characteristics and conditions through images and satellite products. Although surface features are not the main purpose of meteorological forecasting, being able to identify and distinguish them from atmospheric features can be useful.
To access the resource click here.
Tiago Ermitão covers practical application of studying impacts of heatwaves and droughts on the carbon cycle, namely vegetation productivity losses.
Droughts and heatwaves have become more frequent and severe over the last years as a consequence of climate change. These events result in water stress conditions to vegetation, affecting photosynthesis and respiration from plant to ecosystem scales, impacting the net carbon balance of ecosystems. This lecture will provide insights on the impacts of climate extreme events on vegetation function and the carbon cycle, showcasing examples on how these impacts can be detected using remote sensing products how Earth System and other models can be used to project future impacts of extreme events on the Carbon cycle.
Ana Bastos presents about extreme climate event impact on carbon cycle and vegetation.
Droughts and heatwaves have become more frequent and severe over the last years as a consequence of climate change. These events result in water stress conditions to vegetation, affecting photosynthesis and respiration from plant to ecosystem scales, impacting the net carbon balance of ecosystems. This lecture will provide insights on the impacts of climate extreme events on vegetation function and the carbon cycle, showcasing examples on how these impacts can be detected using remote sensing products how Earth System and other models can be used to project future impacts of extreme events on the Carbon cycle.
Carla Barroso gives insight into EUMETSAT climate data records and services.
The presentation will give an overview on EUMETSAT’s efforts to provide climate data records based on satellite measurements and how EUMETSAT supports the work of climate services through this. Focus will be on satellite products provided by EUMETSAT and the different Satellite Application Facilities (SAFs). During the presentation participants will learn how the creation of climate data records is different from creating a near-real-time product and why EUMETSAT and the SAFs invests in this. Links to further information and learning material will be included.
Ana Russo and Rita Durão talk about heatwave impact on air quality, pollutants and evaluation of air quality.
Heatwaves often lead to low air quality levels. Very high to extreme temperatures combined with stagnant air conditions increase air pollutants concentrations, such as tropospheric ozone. This effect might be emphasized when drought conditions also occur, which contributes to increasing fire danger and decreasing air quality levels too. Air pollution impacts on health are consequently an important issue, together with the drawbacks on ecosystems. This lecture will provide insights into the detection, monitoring, and evaluation of air quality impacts, using among others, remote sensing products.
Bostjan Muri talks about using LSA SAF data and vegetation anomalies for drought monitoring.
In this presentation, we explore numerous real world applications of the use of LSA SAF data. Our focus is identifying heatwaves and droughts based on satellite data. Vegetation anomalies can be particularly helpful for drought monitoring. These show cases are selected in order to highlight the benefits of specific applications using LSA SAF data and its added-value when compared with other existing sources of observations (either satellite or meteorological stations) as well as model output.