The textbook 'Hydrological Drought' provides a comprehensive review of processes and estimation methods for streamflow and groundwater drought (Tallaksen and Van Lanen, 2023; link to the Textbook). It includes a qualitative conceptual understanding of drought features and processes, a detailed presentation of estimation methods and tools, practical examples and key aspects of how to live with drought under global change, human interventions, early warning).
The drought phenomenon and its diversity across the world are illustrated using an international dataset of daily streamflow series, whereas regional and local aspects of drought are studied using a combination of hydrological time series and catchment information. The textbook concludes with how to live with drought and addresses topics related to the interactions between nature and society. This includes human influences on drought, past and future hydrological drought, drought impacts and, drought forecasting and early warning. The majority of the examples are taken from regions where the rivers run most of the year, but not exclusively. The material presented ranges from well-established knowledge and analysing methods to recent developments in drought research.
Key Features:
• Includes a number of innovative tools (Worked examples, Self-guided tours) to support the understanding and learning of different methods for assessing drought severity in space and time (past and future conditions), human influences, drought impacts, and early-warning
• Offers applications/demonstrations using a comprehensive database of streamflow from a large number of national and international agencies, which illustrate how data are used when evaluating drought severity
• Presents the state of the art with regard to hydrological drought, including well established knowledge as well as recent developments in drought research.
Tallaksen, L.M., Van Lanen, H.A.J. (Eds.), 2023. Hydrological Drought. Processes and Estimation Methods for Streamflow and Groundwater. Elsevier Publisher, ISBN 978-0-12-819082-1.
| Chapter | Lead Author |
|---|---|
| 1. Introduction | Lena Tallaksen |
| 2. Hydroclimatology | Daniel Kingston |
| 3. Drought-generating processes | Henny Van Lanen |
| 4. Hydrological data | Jamie Hannaford |
| 5. Hydrological drought characteristics | Hege Hisdal |
| 6. Frequency Analysis | Lena Tallaksen |
| 7. Statistical analysis of drought series | Jim Stagge |
| 8. Regionalization procedures – estimation at the ungauged site | Gregor Laaha |
| 9. Process-based modelling | Henny Van Lanen |
| 10. Human influence | Anne Van Loon |
| 11. Past and future hydrological drought | Niko Wanders |
| 12. Drought impacts | Kerstin Stahl |
| 13. Drought Early Warning Systems: monitoring and forecasting | Christel Prudhomme |
The repository of this Textbook contains: a) Data, b) Worked examples (incl. code), c) Self-guided tours, and d) Supporting documents associated with the textbook. When information from this repository is used, please cite both the textbook and this repository if you make use of any part of this.
In order to run the worked examples on a personal computer, you must install the hydrodroughtR package.
For any description of this methodology, please use the following citation (s):
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The book citation: Tallaksen, L.M., Van Lanen, H.A.J. (Eds.), 2023. Hydrological Drought. Processes and Estimation Methods for Streamflow and Groundwater. Elsevier Publisher, ISBN 978-0-12-819082-1. (link to Textbook)
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The github citation (2018) doi: 10.5281/zenodo.1467417
- James H. Stagge - Owner - jstagge
- Tobias Gauster - Owner - mundl
- Lena M. Tallaksen - Owner - lmtallaksen
- Henny A.J. Van Lanen - Owner - HennyVanLanen
This project is licensed under the GNU General Public License v3.0 License - see the LICENSE file for details
This material is based upon work supported by a team of authors and organisations (see Acknowledgements in Tallaksen and Van Lanen, 2023; link to the Textbook). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of any of the funding organizations. The authors and the organisations mentioned in the acknowledgements make no representation or warranties regarding the estimation methods (i.e., worked examples, case studies, self-guided tours and software), the accuracy of the data, the use to which the estimation methods and data may be put or the results obtained from the use of the estimation methods or data. Accordingly, the authors and the organisations mentioned accept no liability for any loss or damage (whether direct or indirect) incurred by any person through the use of the estimation methods or data.