skip to main content
Idioma:
Resultados 1 2 3 4 5 next page
Refinado por: Nome da Publicação: Hydrology And Earth System Sciences remover
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Scaling, Similarity, and the Fourth Paradigm for Hydrology
Scaling, Similarity, and the Fourth Paradigm for Hydrology
Material Type:
Artigo 		Adicionar ao Meu Espaço

Scaling, Similarity, and the Fourth Paradigm for Hydrology

Peters-Lidard, Christa D ; Clark, Martyn ; Samaniego, Luis ; Verhoest, Niko E C ; van Emmerik, Tim ; Uijlenhoet, Remko ; Achieng, Kevin ; Franz, Trenton E ; Woods, Ross

Hydrology and earth system sciences, 2017-07, Vol.21 (7), p.3701-3713 [Periódico revisado por pares]

Germany: Copernicus GmbH

Texto completo disponível

Citações Citado por
2
Two-stage variational mode decomposition and support vector regression for streamflow forecasting
Two-stage variational mode decomposition and support vector regression for streamflow forecasting
Material Type:
Artigo 		Adicionar ao Meu Espaço

Two-stage variational mode decomposition and support vector regression for streamflow forecasting

Zuo, Ganggang ; Luo, Jungang ; Wang, Ni ; Lian, Yani ; He, Xinxin

Hydrology and earth system sciences, 2020-11, Vol.24 (11), p.5491-5518 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
3
A global hydrological simulation to specify the sources of water used by humans
A global hydrological simulation to specify the sources of water used by humans
Material Type:
Artigo 		Adicionar ao Meu Espaço

A global hydrological simulation to specify the sources of water used by humans

Hanasaki, Naota ; Yoshikawa, Sayaka ; Pokhrel, Yadu ; Shinjiro Kanae

Hydrology and earth system sciences, 2018-01, Vol.22 (1), p.789-817 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
4
Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
Material Type:
Artigo 		Adicionar ao Meu Espaço

Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds

Shortridge, Julie E ; Guikema, Seth D ; Zaitchik, Benjamin F

Hydrology and earth system sciences, 2016-07, Vol.20 (7), p.2611-2628 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
5
Hydrological threats to riparian wetlands of international importance – a global quantitative and qualitative analysis
Hydrological threats to riparian wetlands of international importance – a global quantitative and qualitative analysis
Material Type:
Artigo 		Adicionar ao Meu Espaço

Hydrological threats to riparian wetlands of international importance – a global quantitative and qualitative analysis

Schneider, Christof ; Flörke, Martina ; De Stefano, Lucia ; Petersen-Perlman, Jacob D

Hydrology and earth system sciences, 2017-06, Vol.21 (6), p.2799-2815 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
6
Hydrological concept formation inside long short-term memory (LSTM) networks
Hydrological concept formation inside long short-term memory (LSTM) networks
Material Type:
Artigo 		Adicionar ao Meu Espaço

Hydrological concept formation inside long short-term memory (LSTM) networks

Lees, Thomas ; Reece, Steven ; Kratzert, Frederik ; Klotz, Daniel ; Gauch, Martin ; De Bruijn, Jens ; Kumar Sahu, Reetik ; Greve, Peter ; Slater, Louise ; Dadson, Simon J

Hydrology and earth system sciences, 2022-06, Vol.26 (12), p.3079-3101 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
7
Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling
Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling
Material Type:
Artigo 		Adicionar ao Meu Espaço

Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling

Peleg, Nadav ; Blumensaat, Frank ; Molnar, Peter ; Fatichi, Simone ; Burlando, Paolo

Hydrology and earth system sciences, 2017-03, Vol.21 (3), p.1559-1572 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
8
Assessment of precipitation error propagation in multi-model global water resource reanalysis
Assessment of precipitation error propagation in multi-model global water resource reanalysis
Material Type:
Artigo 		Adicionar ao Meu Espaço

Assessment of precipitation error propagation in multi-model global water resource reanalysis

Ehsan Bhuiyan, Md Abul ; Nikolopoulos, Efthymios I ; Anagnostou, Emmanouil N ; Polcher, Jan ; Albergel, Clément ; Dutra, Emanuel ; Fink, Gabriel ; Martínez-de la Torre, Alberto ; Munier, Simon

Hydrology and earth system sciences, 2019-04, Vol.23 (4), p.1973-1994 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
9
Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change?
Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change?
Material Type:
Artigo 		Adicionar ao Meu Espaço

Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change?

Duethmann, Doris ; Blöschl, Günter ; Parajka, Juraj

Hydrology and earth system sciences, 2020-07, Vol.24 (7), p.3493-3511 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
10
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model
Material Type:
Artigo 		Adicionar ao Meu Espaço

Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model

Li, Ji ; Yuan, Daoxian ; Liu, Jiao ; Jiang, Yongjun ; Chen, Yangbo ; Hsu, Kuo Lin ; Sorooshian, Soroosh

Hydrology and earth system sciences, 2019-03, Vol.23 (3), p.1505-1532 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

Texto completo disponível

Citações Citado por
Resultados 1 2 3 4 5 next page

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.