Canada1Water - Correction par apprentissage automatique des biais des températures du sol ERA5-Land et FLDAS à l'aide de SWE et NDVI
Dataset Development, Feature Sets Veljko Zaric Dataset Development, Feature Sets Veljko Zaric

Canada1Water - Correction par apprentissage automatique des biais des températures du sol ERA5-Land et FLDAS à l'aide de SWE et NDVI

On May 26-29, 2024 - Tyler Herrington attended the Canadian Geophysical Union’s (CGU) annual conference to present his recent work titled 'Machine-Learning Based Bias Correction of ERA5-Land and FLDAS Soil Temperatures Using SWE and NDVI'.

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In Canada’s North, water is life
Dataset Development Brayden McNeill Dataset Development Brayden McNeill

In Canada’s North, water is life

Canada is a famously vast country. For remote jurisdictions with limited resources, coming by accurate data on groundwater, surface water and climate is hard — never mind building models and simulations. Scientists Ryan Connon and Isabelle de Grandpré in the Northwest Territories see a chance for Canada1Water to change that.

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Canada1Cadre de données sur l'eau : Informations hydrographiques, pédologiques et hydrogéologiques harmonisées à l'échelle nationale pour soutenir l'analyse des eaux souterraines et des eaux de surface
Dataset Development, Feature Sets Brayden McNeill Dataset Development, Feature Sets Brayden McNeill

Canada1Cadre de données sur l'eau : Informations hydrographiques, pédologiques et hydrogéologiques harmonisées à l'échelle nationale pour soutenir l'analyse des eaux souterraines et des eaux de surface

Several members of the Canada1Water team attended the CWRA Annual Conference in Halifax last month. It was a really great opportunity to get out into the Canadian water resources community and introduce some of the work we’ve been doing. Eric Kessel delivered a poster presentation (see below) to highlight just a handful of the many datasets that are being produced as part of the project.

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