Absolutely! When designing our training courses, we carefully select the data sources to provide a comprehensive and diverse learning experience. Satellite data is a valuable resource that we incorporate into our courses, as it offers unique insights. We make use of Level 3 (L3) and Level 4 (L4) satellite data, which provides highly detailed information at a resolution of up to 1 km x 1 km (depending on dataset and coverage). This data is available for a wide range of time spans, with some datasets extending up to the present date. For the physical domain, often referred to as the "Blue Ocean" (see COPERNICUS MARINE), we cover variables such as Sea Surface Temperature, Sea Surface Anomalies, and other relevant parameters. These variables offer valuable insights into oceanic conditions and dynamics. In addition to the physical domain, we also explore the rich world of bio-geochemical parameters, known as the "Green Ocean." This includes parameters such as Plankton and ocean color, which are crucial for understanding the biological aspects of marine ecosystems. By incorporating these diverse satellite data sources and variables, we aim to provide a comprehensive understanding of geoscientific concepts and their real-world applications. If you have any specific questions or would like to learn more about our training courses, please feel free to reach out to us. We are here to assist you in further exploring the fascinating world of satellite data in geoscience. Please contact us! We look forward to hearing from you and helping you enhance your knowledge in this field!
While hydrology may not be a major topic for you at the moment, it's wonderful to know that it could be a potential area of interest in the future. The techniques and skills taught during our trainings are indeed applicable to a wide range of scientific data, including both modeled and remotely sensed data. Once you have grasped these techniques, you gain the flexibility to apply them to various data sources and scientific domains. For example, we had in the past already worked with GRACE (Gravity Recovery and Climate Experiment) provides valuable data for studying Earth's gravity field and its changes over time (used to determine ground water storage on land masses). The techniques and methodologies you will learn, can be easily adapted to analyze and interpret GRACE data, or in general model/satellite data, enabling you to gain insights into hydrological processes and related phenomena. This flexibility extends beyond hydrology and can be applied to virtually any scientific domain that involves data analysis and interpretation. Whether it's climate science, geophysics, ecology, or any other field, the skills you acquire during our trainings will empower you to work with diverse datasets and extract meaningful insights. If you have any specific questions or requirements regarding the application of these techniques to different datasets or scientific domains, feel free to reach out to us. We are here to support you in your journey of working with scientific data. Additionally, if you would like more information or have any other inquiries, please don't hesitate to contact us. You can reach us at office@geacomputing.eu. We are excited to assist you in your future endeavors!
At GEA Computing, we offer training courses as a commercial service. Our courses are designed to provide comprehensive and in-depth knowledge in various domains. However, we occasionally offer free classes, particularly for newcomers, as a way to introduce them to our services. During these free classes, we focus on presenting and showcasing the final products, such as results, plots, or animations, rather than sharing the underlying code or the process used to produce them. Our aim is to provide a taste of the capabilities and value of our services without revealing the intricacies of the code. We understand the importance of protecting intellectual property and proprietary algorithms. If you have any further questions or would like more information about our training courses and services, please feel free to contact us. We are here to assist you in any way we can. Contact us! We look forward to helping you achieve your goals through our training courses.
Certainly! Building a strong foundation is crucial, and we understand the importance of tailoring courses specifically for geoscientists. Our basic courses cover fundamental concepts that are common across programming languages. These concepts include variables, strings, arrays, variable types, indexing, logic iterations (such as "for" and "while" loops), and basic plotting. We believe in adapting our training to meet the needs and proficiency levels of our audience. Whether you are a beginner or have some programming experience, we are here to support you. Please don't hesitate to reach out to us to discuss your specific requirements or to inquire about any additional information. We look forward to helping you enhance your programming skills in the field of geoscience!
Precisely. Coding is a powerful tool that enables scientists to efficiently analyze and interpret data, automate processes, and solve complex problems. By investing time in learning and mastering coding skills, scientists can streamline their workflows and focus more on the scientific aspects of their work. When done correctly, coding can help scientists avoid errors and ensure the reliability of their results. Writing clean and well-structured code, following best practices, and incorporating testing and validation techniques are essential steps in minimizing errors and improving the overall quality of scientific work. By reducing the time spent on repetitive and manual tasks through coding, scientists can allocate more time to designing experiments, analyzing results, formulating hypotheses, and making scientific discoveries. Coding empowers scientists to explore larger datasets, perform sophisticated analyses, and tackle complex research questions that would otherwise be challenging or time-consuming. At GEA Computing, we understand the value of efficient coding practices and strive to provide training courses that emphasize not only the technical aspects of coding but also the practical application of those skills in scientific research. If you have any specific questions or would like further guidance on optimizing your coding workflows for scientific purposes, please feel free to reach out to us. We are here to support you in your journey of leveraging coding to enhance your scientific endeavors. You can contact us at office@geacomputing.eu. We look forward to assisting you in achieving your scientific goals while minimizing coding-related challenges and errors.
The training sessions are currently (Dec 2023) in the preparation phase, and we are actively designing their structure based on the questionnaire responses. Our goal is to provide a tailored and effective learning experience for all participants. Ideally, we plan to commence the training sessions in January 2024, giving us ample time to finalize the course material and ensure its quality. We understand the importance of a well-prepared and organized training program to maximize the learning outcomes. The majority of our courses will be delivered online, offering flexibility and accessibility for participants from different locations. Online courses provide the convenience of learning at one's own pace and eliminating the need for travel. However, if you are interested in organizing an in-person event for a group of students or employees, we are more than happy to accommodate your needs. Please feel free to contact us, and we can discuss the possibilities of organizing a customized training event that meets your specific requirements. At GEA Computing, we are committed to providing comprehensive and effective training solutions. We prioritize the success and satisfaction of our participants, and we are here to support you every step of the way. If you have any further questions or would like to discuss your training needs in more detail, please don't hesitate to reach out to us. We are excited to assist you in organizing a successful training event and helping you achieve your goals!
Scientific communication is underrated and deserves more exposure, especially for those of us who work with visualization data in science. Climate data is a treasure trove of valuable insights, and mastering tools like ParaView can unlock its full potential. By harnessing the power of coding and leveraging ParaView's advanced visualization capabilities, you have the opportunity to create stunning visual representations of climate data. With your improved coding skills and the artistry of ParaView, you can create visually striking plots and animations that effectively convey your message. By sharing these results with non-scientific communities, you can empower individuals to take meaningful steps towards mitigating climate change and addressing the consequences.
Sorry, we don't do R. We use Python (for our training courses).
Certainly! We have extensive experience in restoring and manipulating the vertical topology of model-generated data. As a practical example, we have developed code that can reassign the geometric altitude of model mass points while preserving their terrain-following characteristics. This enables users to visualize complex model-generated data overlaid on existing topography. We implemented this using PARAVIEW and WRF model data, and the results were impressive. This topic has the potential to cover both coding and visualization, offering numerous opportunities for exploration and utilization. In that particular case, we collaborated with KITWARE, the company behind PARAVIEW software, to develop this new functionality. With this enhancement, it would be easier to incorporate terrain-following model data into PARAVIEW. We presented two possible approaches for achieving this. The first approach involves classical interpolation techniques, while the second approach requires converting the model data into PARAVIEW's native data format, called "vtk". This technique works seamlessly with both atmospheric and ocean data, which are both terrain-following. The outcome is a flawless alignment between the model's output and the underlying terrain or seabed. Also, if you want to know more or have any other questions, feel free to reach out to us. We're here to help!
GEA Computing is committed to providing regular, consistent, and tailored support to help your PhD students with code preparation, specifically for pre and post-processing of climate data from institutional sources. Our team has the skills and experience required to deliver exceptional results, enhancing productivity and ensuring more consistent and robust work. By receiving our training, your students will not only benefit individually but also contribute to the overall improvement of the group. We can start from the basics and gradually progress to more complex scenarios, empowering students to become proficient in using the tools necessary for better scientific work. Our ultimate goal is to provide a solid foundation that enables students to independently build upon and continue advancing their skills in the future.
We can surely help you implementing procedures, protocols, and workflows to effectively manage your network of measurement sensors and ground stations, while ensuring compliance with regulations. Some key concepts:
1. Remote access: You can establish a connection to a web-server, typically using MySQL, to remotely access the data from your measurement sensors and ground stations. This will allow you to retrieve the data for further processing and analysis.
2. Metadata: It's important to append relevant metadata to your measurements. This metadata can include information such as timestamps, sensor details, location, and any other relevant information, about both sensor and station (or even station clusters). By adding metadata, you can enhance the organization and categorization of your measurements.
3. Data policies: To ensure compliance with regulations, it's crucial to define data policies that cover aspects such as data storage, sorting, cataloging, data retention, access control, and data sharing. These policies will help you adhere to the regulations and ensure the accessibility and security of your data.
4. Compliance: To maintain consistency and interoperability, you can follow the Climate and Forecast (CF) metadata conventions. These conventions provide a standard for describing scientific data, including metadata. Adhering to CF standards will enhance interoperability of your data with other systems and tools (see F.A.I.R. principles)
5. Storing data: The netCDF4 format is commonly used for scientific data storage. By storing your measurements in this format, you can take advantage of its benefits, such as efficient storage, support for metadata, and compatibility with various scientific data analysis tools.
By following these steps, you can implement procedures, protocols, and workflows to manage your network of measurement sensors and ground stations while ensuring compliance with regulations. This will enable you to effectively store, sort, catalog, and access your measurements while maintaining data accessibility and adhering to the necessary regulations.
We have an interactive example showing just that. Have a look in our "Content" section, under "code".
Should you have any specific questions or would like further guidance on optimizing your coding workflows, do not hesitate to reach out to us!
Absolutely, our courses at GEA Computing include in-depth coverage of the necessary theoretical foundations alongside practical applications. We believe in providing a balanced approach that ensures you have a solid understanding of the underlying concepts. However, it's important to note that depending on the level of difficulty you are enrolling in, having some prior theoretical knowledge may be beneficial (or even necessary).