A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset

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Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area

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Q58219890-8EB9950D-0BCA-4CC9-B3EE-B61E1C00D730

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A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset

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wetenschappelijk artikel

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наукова стаття, опублікована в липні 2017

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A global water resources ensem ...... e eartH2Observe Tier-1 dataset

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A global water resources ensem ...... e eartH2Observe Tier-1 dataset

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A global water resources ensem ...... e eartH2Observe Tier-1 dataset

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A global water resources ensem ...... e eartH2Observe Tier-1 dataset

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A global water resources ensem ...... e eartH2Observe Tier-1 dataset

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A global water resources ensem ...... e eartH2Observe Tier-1 dataset

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A global water resources ensem ...... e eartH2Observe Tier-1 dataset

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Ben Calton

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Frederiek Sperna Weiland

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Gabriel Fink

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Hylke Beck

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Jaap Schellekens

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Jean-Christophe Calvet

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Marie Minvielle

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René Orth

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Sophia Burke

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Stefanie Peßenteiner

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389-413

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scholarly article

P356

10.5194/ESSD-9-389-2017

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P433

http://www.w3.org/2001/XMLSchema#string

P478

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Albert van Dijk

Stephanie Eisner

Alberto Martinez-de la Torre

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2017-07-03T00:00:00Z

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A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset

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A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset

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P2860

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