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Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria
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Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria

O, Sungmin ; Foelsche, Ulrich ; Kirchengast, Gottfried ; Fuchsberger, Juergen ; Tan, Jackson ; Petersen, Walter A

Hydrology and earth system sciences, 2017-12, Vol.21 (12), p.6559-6572 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province
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The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province

Xiao, Yuanyuan ; Yin, Shuiqing ; Yu, Bofu ; Fan, Conghui ; Wang, Wenting ; Xie, Yun

Hydrology and earth system sciences, 2023-12, Vol.27 (24), p.4563-4577 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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Benefits from high-density rain gauge observations for hydrological response analysis in a small alpine catchment
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Benefits from high-density rain gauge observations for hydrological response analysis in a small alpine catchment

Michelon, Anthony ; Benoit, Lionel ; Beria, Harsh ; Ceperley, Natalie ; Schaefli, Bettina

Hydrology and earth system sciences, 2021-04, Vol.25 (4), p.2301-2325 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data
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Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data

Graf, Maximilian ; Chwala, Christian ; Polz, Julius ; Kunstmann, Harald

Hydrology and earth system sciences, 2020-06, Vol.24 (6), p.2931-2950 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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Validating Rainfall-Runoff Modelling Using Satellite-Based and Reanalysis Precipitation Products in the Sre Pok Catchment, the Mekong River Basin
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Validating Rainfall-Runoff Modelling Using Satellite-Based and Reanalysis Precipitation Products in the Sre Pok Catchment, the Mekong River Basin

Nguyen, Thu ; Masih, Ilyas ; Mohamed, Yasir ; van der Zaag, Pieter

Geosciences (Basel), 2018-05, Vol.8 (5), p.164 [Periódico revisado por pares]

Basel: MDPI AG

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Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models
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Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models

Lees, Thomas ; Buechel, Marcus ; Anderson, Bailey ; Slater, Louise ; Reece, Steven ; Coxon, Gemma ; Dadson, Simon J

Hydrology and earth system sciences, 2021-10, Vol.25 (10), p.5517-5534 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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A comparative study of conceptual rainfall-runoff models GR4J, AWBM and Sacramento at catchments in the upper Godavari river basin, India
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A comparative study of conceptual rainfall-runoff models GR4J, AWBM and Sacramento at catchments in the upper Godavari river basin, India

Kunnath-Poovakka, A ; Eldho, T I

Journal of Earth System Science, 2019-03, Vol.128 (2), p.1-15, Article 33 [Periódico revisado por pares]

New Delhi: Springer India

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

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Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models
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Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models

Katzenberger, Anja ; Schewe, Jacob ; Pongratz, Julia ; Levermann, Anders

Earth system dynamics, 2021-04, Vol.12 (2), p.367-386 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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Historical rainfall data in northern Italy predict larger meteorological drought hazard than climate projections
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Historical rainfall data in northern Italy predict larger meteorological drought hazard than climate projections

Guo, Rui ; Montanari, Alberto

Hydrology and earth system sciences, 2023-08, Vol.27 (15), p.2847-2863 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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