Search

Your search keyword '"Herrnegger, Mathew"' showing total 5 results
Start Over Author "Herrnegger, Mathew" Language undetermined
5 results on '"Herrnegger, Mathew"'

2. Rainfall-Runoff modelling using Long-Short-Term-Memory (LSTM) networks

Author

Kratzert, Frederik, Klotz, Daniel, Brenner, Claire, Schulz, Karsten, and herrnegger, mathew

Subjects
Civil and Environmental Engineering, Engineering, Environmental Engineering, Physical Sciences and Mathematics, Earth Sciences, FOS: Environmental engineering, Hydrology
Abstract

Rainfall-runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data driven models. In this paper, we propose a novel data driven approach, using the Long-Short-Term-Memory (LSTM) network, a special type of recurrent neural networks. The advantage of the LSTM is its ability to learn long-term dependencies between the provided input and output of the network, which are essential for modelling storage effects in e.g. catchments with snow influence. We use 241 catchments of the freely available CAMELS data set to test our approach and also compare the results to the well-known Sacramento Soil Moisture Accounting Model (SAC-SMA) coupled with the Snow-17 snow routine. We also show the potential of the LSTM as a regional hydrological model, in which one model predicts the discharge for a variety of catchments. In our last experiment, we show the possibility to transfer process understanding, learned at regional scale, to individual catchments and thereby increasing model performance when compared to a LSTM trained only on the data of single catchments. Using this approach, we were able to achieve better model performance as the SAC-SMA + Snow-17, which underlines the potential of the LSTM for hydrological modelling applications.

Published
2018
Full Text
View/download PDF

3. Rainfall-Runoff modelling using Long Short-Term Memory (LSTM) networks

Author

Kratzert, Frederik, Klotz, Daniel, Brenner, Claire, Schulz, Karsten, and herrnegger, mathew

Subjects
bepress|Physical Sciences and Mathematics, bepress|Engineering|Civil and Environmental Engineering|Environmental Engineering, bepress|Engineering, EarthArXiv|Engineering|Civil and Environmental Engineering, EarthArXiv|Engineering, bepress|Physical Sciences and Mathematics|Earth Sciences, EarthArXiv|Physical Sciences and Mathematics|Earth Sciences, Modelling, EarthArXiv|Physical Sciences and Mathematics, Machine Learning, Deep Learning, EarthArXiv|Engineering|Civil and Environmental Engineering|Environmental Engineering, Rainfall-runoff, bepress|Engineering|Civil and Environmental Engineering, bepress|Physical Sciences and Mathematics|Earth Sciences|Hydrology, Hydrology, EarthArXiv|Physical Sciences and Mathematics|Earth Sciences|Hydrology
Abstract

Rainfall-runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data driven models. In this paper, we propose a novel data driven approach, using the Long-Short-Term-Memory (LSTM) network, a special type of recurrent neural networks. The advantage of the LSTM is its ability to learn long-term dependencies between the provided input and output of the network, which are essential for modelling storage effects in e.g. catchments with snow influence. We use 241 catchments of the freely available CAMELS data set to test our approach and also compare the results to the well-known Sacramento Soil Moisture Accounting Model (SAC-SMA) coupled with the Snow-17 snow routine. We also show the potential of the LSTM as a regional hydrological model, in which one model predicts the discharge for a variety of catchments. In our last experiment, we show the possibility to transfer process understanding, learned at regional scale, to individual catchments and thereby increasing model performance when compared to a LSTM trained only on the data of single catchments. Using this approach, we were able to achieve better model performance as the SAC-SMA + Snow-17, which underlines the potential of the LSTM for hydrological modelling applications.

Published
2018
Full Text
View/download PDF

4. Twenty-three unsolved problems in hydrology (UPH) – a community perspective

Author

Blöschl, Günter, Bierkens, Marc F.P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H.G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Josè, Széles, Borbála, Viglione, Alberto, Hafzullah Aksoy, Allen, Scott T., Anam Amin, Vazken Andréassian, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, Amorim, Pablo Borges De, Böttcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Xiaohong Chen, Yangbo Chen, Yuanfang Chen, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., Barros, Felipe P. J. De, Rooij, Gerrit De, Baldassarre, Giuliano Di, Driscoll, Jessica M., Duethmann, Doris, Ravindra Dwivedi, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Keirnan Fowler, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Shervan Gharari, Gleeson, Tom, Glendell, Miriam, Bevacqua, Alena Gonzalez, González-Dugo, María P., Grimaldi, Salvatore, A. B. Gupta, Guse, Björn, Dawei Han, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlaváčiková, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Tissa H. Illangasekare, Inam, Azhar, Camyla Innocente, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Sonu Khanal, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnová, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L. R., Lindquist, Eric, Link, Timothy, Junguo Liu, Loucks, Daniel Peter, Luce, Charles, Mahé, Gil, Makarieva, Olga, Malard, Julien, Shamshagul Mashtayeva, Shreedhar Maskey, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Müller-Thomy, Hannes, Alireza Nabizadeh, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Bakhram Nurtaev, Odongo, Vincent O., Subhabrata Panda, Saket Pande, Zhonghe Pang, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, María J., Post, David, Sierra, Cristina Prieto, Maria-Helena Ramos, Renner, Maik, Reynolds, José Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Tirthankar Roy, Sá, João H.M., Gianfausto Salvadori, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Ingelin Steinsland, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Fuqiang Tian, Tong, Rui, Kamshat Tussupova, Tyralis, Hristos, Uijlenhoet, Remko, Beek, Rens Van, Ent, Ruud J. Van Der, Ploeg, Martine Van Der, Loon, Anne F. Van, Meerveld, Ilja Van, Nooijen, Ronald Van, Oel, Pieter R. Van, Jean-Philippe Vidal, Freyberg, Jana Von, Vorogushyn, Sergiy, Przemyslaw Wachniew, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Zongxue Xu, Yilmaz, Koray K., and Yongqiang Zhang

Subjects
13. Climate action, 6. Clean water
Abstract

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

5. Twenty-three unsolved problems in hydrology (UPH) – a community perspective

Author

Blöschl, Günter, Bierkens, Marc F.P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H.G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Josè, Széles, Borbála, Viglione, Alberto, Hafzullah Aksoy, Allen, Scott T., Anam Amin, Vazken Andréassian, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, Amorim, Pablo Borges De, Böttcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Xiaohong Chen, Yangbo Chen, Yuanfang Chen, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., Barros, Felipe P. J. De, Rooij, Gerrit De, Baldassarre, Giuliano Di, Driscoll, Jessica M., Duethmann, Doris, Ravindra Dwivedi, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Keirnan Fowler, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Shervan Gharari, Gleeson, Tom, Glendell, Miriam, Bevacqua, Alena Gonzalez, González-Dugo, María P., Grimaldi, Salvatore, A. B. Gupta, Guse, Björn, Dawei Han, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlaváčiková, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Tissa H. Illangasekare, Inam, Azhar, Camyla Innocente, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Sonu Khanal, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnová, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L. R., Lindquist, Eric, Link, Timothy, Junguo Liu, Loucks, Daniel Peter, Luce, Charles, Mahé, Gil, Makarieva, Olga, Malard, Julien, Shamshagul Mashtayeva, Shreedhar Maskey, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Müller-Thomy, Hannes, Alireza Nabizadeh, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Bakhram Nurtaev, Odongo, Vincent O., Subhabrata Panda, Saket Pande, Zhonghe Pang, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, María J., Post, David, Sierra, Cristina Prieto, Maria-Helena Ramos, Renner, Maik, Reynolds, José Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Tirthankar Roy, Sá, João H.M., Gianfausto Salvadori, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Ingelin Steinsland, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Fuqiang Tian, Tong, Rui, Kamshat Tussupova, Tyralis, Hristos, Uijlenhoet, Remko, Beek, Rens Van, Ent, Ruud J. Van Der, Ploeg, Martine Van Der, Loon, Anne F. Van, Meerveld, Ilja Van, Nooijen, Ronald Van, Oel, Pieter R. Van, Jean-Philippe Vidal, Freyberg, Jana Von, Vorogushyn, Sergiy, Przemyslaw Wachniew, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Zongxue Xu, Yilmaz, Koray K., and Yongqiang Zhang

Subjects
13. Climate action, 6. Clean water
Abstract

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

Catalog

Books, media, physical & digital resources
See catalog results