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Poor correlation between large-scale environmental flow violations and freshwater biodiversity: implications for water resource management and water planetary boundary.
- Published in:
- Hydrology & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/hess-2022-87
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- Publication type:
- Article
Hydrostreamer v1.0 – improved streamflow predictions for local applications from an ensemble of downscaled global runoff products.
- Published in:
- Geoscientific Model Development, 2021, v. 14, n. 8, p. 5155, doi. 10.5194/gmd-14-5155-2021
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- Article
Future Transboundary Water Stress and Its Drivers Under Climate Change: A Global Study.
- Published in:
- Earth's Future, 2020, v. 8, n. 7, p. 1, doi. 10.1029/2019EF001321
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- Publication type:
- Article
Hydrostreamer v1.0 - improved streamflow predictions for local applications from an ensemble of downscaled global runoff products.
- Published in:
- Geoscientific Model Development Discussions, 2020, p. 1, doi. 10.5194/gmd-2020-276
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- Publication type:
- Article
Root zone soil moisture in over 25 % of global land permanently beyond pre-industrial variability as early as 2050 without climate policy.
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- Hydrology & Earth System Sciences, 2023, v. 27, n. 21, p. 3999, doi. 10.5194/hess-27-3999-2023
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- Publication type:
- Article
Poor correlation between large-scale environmental flow violations and freshwater biodiversity: implications for water resource management and the freshwater planetary boundary.
- Published in:
- Hydrology & Earth System Sciences, 2022, v. 26, n. 23, p. 6247, doi. 10.5194/hess-26-6247-2022
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- Publication type:
- Article
Globally widespread and increasing violations of environmental flow envelopes.
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- Hydrology & Earth System Sciences, 2022, v. 26, n. 12, p. 3315, doi. 10.5194/hess-26-3315-2022
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- Publication type:
- Article
Environmental flow envelopes: quantifying global, ecosystem-threatening streamflow alterations.
- Published in:
- Hydrology & Earth System Sciences Discussions, 2021, p. 1, doi. 10.5194/hess-2021-260
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- Publication type:
- Article
Identifying Key Drivers of Peatland Fires Across Kalimantan's Ex‐Mega Rice Project Using Machine Learning.
- Published in:
- Earth & Space Science, 2021, v. 8, n. 12, p. 1, doi. 10.1029/2021EA001873
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- Publication type:
- Article