- Access GRACE data and analyze regional groundwater changes
Hydrological
Definition
A hazard caused by the occurrence, movement, and distribution of surface and subsurface freshwater and saltwater.
Related content on the Knowledge Portal
Event
EGU2020: Sharing Geoscience Online (#shareEGU20) brings part of the activities of the EGU General Assembly 2020 online. Participants will join meetings, share their research and discuss with colleagues.
The event will include topics such as:
- Geochemistry, Mineralogy, Petrology Volcanology
- Hydrological Sciences
- Natural Hazards
- Nonlinear Processes in Geosciences
- Ocean Sciences
- Planetary & Solar System Sciences
- Seismology
- Stratigraphy, Sedimentology & Palaeontology
- Soil System Sciences
- Solar-Terrestrial Sciences
- ... read more
This symposium will explore address the use of a decade of SMOS (Soil Moisture and Ocean Salinity) data for climate research. Many processes, especially related to climate, occur on temporal and spatial scales that are well beyond the lifetime of an individual mission. Ten years of SMOS data are hence a valuable long-term consistent satellite data records to study these processes and to understand changes in the Earth System, for example in the global water or carbon cycle. In addition, longer data records increase the level of confidence in estimating extreme events, such as droughts or tropical cyclones.
The symposium is open to scientists and engineers interested in exploring the capabilities of 10 years of SMOS data, also in synergy with other space or ground based data sources, for climate applications.
The topics that will be discussed are:
- Relevance of 10 years of SMOS data for climate research and international climate activities (Sustainable... read more
As well as providing critical information about ice, CryoSat has also demonstrated that it can offer a valuable source of data for oceanography, hydrology and geodesy.
The conference therefore provides a forum for international scientists and operational users to present and share state-of-the-art CryoSat-based results, its decadal contribution to science and future perspectives in the following areas:
- Sea ice
- Greenland and Antarctica icesheets
- Glaciers and ice caps
- Oceans and marine gravity
- Hydrology
- Icebergs & ice shelves
- 10 Years of operations, synergies and future missions
Learning Objectives:
By the end of this training, attendees will be able to:
- Create a flood map using Google Earth Engine
- Generate a map characterizing areas where landslides have occurred
- Generate a digital elevation model (DEM)
- This webinar series will consist of three, two-hour parts
- Each part will include a presentation on the theory of the topic followed by a demonstration and exercise for attendees.
- This training is also available in Spanish. Please visit the Spanish page for more information.
- A certificate of completion will also be available to participants who attend all sessions and complete the homework assignment, which will be based on the webinar sessions. Note: certificates of completion only indicate the attendee participated in all aspects of the training, they do not imply proficiency on... read more
These training materials provide an introduction to the Ensemble Framework for Flash Flood Forecasting (EF5) system developed by SERVIR Applied Sciences Team PI Yang Hong, Co-I Zac Flamig, and Race Clark of the University of Oklahoma. The EF5 is a hydrologic modeling system that allows for the prediction and monitoring of floods, as well as drought conditions. The resources available include a full training package, containing all documents, data, software, examples, and presentations.
Training materials are available at http://ef5.ou.edu/training/and https://www.youtube.com/channel/UCgoGJtdeqHgwoYIRhkgMwog.
To access these resources from the GitHub repository, go to https://github.com/HyDROSLab/EF5.
For many studies models are used or developed. During modelling courses not much attention is paid to the preprocessing of input data and parameters needed for the models. A lot of open source software is available for this purpose. Besides desktop tools with graphical user interfaces, scripting is very useful for processing large datasets and timeseries. With the skills learned in this course you will be able to more efficiently process your data and setup and improve your models.
Learning objectives
After this course you will be able to:
Understand the basic concepts of GIS Raster, vector, projections, geospatial analysis. Use a GIS for:
- Thematic mapping
- Basic data processing and editing
- Basic geoprocessing and analysis
- DEM processing and catchment delineation
- Find open source software and open data
Course Format
... read moreNews
The International Water Management Institute (IWMI) and Digital Earth Africa (DEA) have partnered to develop tools and applications that will support water resource management and water security in Africa. The applications will use remote-sensing and machine learning technologies and will produce measurements that can improve the understanding of Africa’s changing landscape and provide African governments, communities, and companies with insights, knowledge, and analysis to make more informed and strategic decisions.
IWMI and DEA will first develop an application for water accounting that can produce timely and quality information to better understand water use and availability, water risks, water quality, water values and efficiency, water allocations across different sectors, and the downstream implications of new irrigation schemes. IWMI will also develop tools for flood and drought mapping and early warning systems and will work with different... read more
The European Space Agency’s (ESA) GlobWetland Africa project has produced maps that demonstrate how satellite observations can be used for the effective use and management of wetlands in Africa. The project, created in collaboration with the African Team of the Ramsar Convention on Wetlands, provides national and international stakeholders with the necessary satellite-based methods and tools useful for the conservation and effective management of wetlands.
The initiative provides a software platform built on the free and open-source QGIS geographic information system (GIS). The platform shows how optical and radar observations combining long-time data sets from different satellites can be used for studying wetland status and trends. For instance, the project shows how it is possible to map wetland habitat using a Random Forest (RF) classification of multi-spectral satellite imagery from Sentinel-2 and Landsat (TM, ETM, OLI). To identify wetland inventory... read more