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Soil Moisture Remote Sensing for Numerical Weather Prediction: L-Band and C-Band Emission Modeling Over Land Surfaces, the Community Microwave Emission Model (CMEM).

, , , , , , , , and . IGARSS (2), page 563-566. IEEE, (2008)

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The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA-Interim reanalysis data, , , , , and . Water Resources Research, 50 (9): 7505--7514 (September 2014)Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review., , , , , , , , , and 35 other author(s). Remote. Sens., 10 (12): 2038 (2018)The new ECMWF seasonalforecast system (System 4), , , , , , , , , and . 656. ECMWF, (2011)Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation., , , , , , , , and . Remote Sensing, 11 (5): 520 (2019)Soil Moisture Remote Sensing for Numerical Weather Prediction: L-Band and C-Band Emission Modeling Over Land Surfaces, the Community Microwave Emission Model (CMEM)., , , , , , , , and . IGARSS (2), page 563-566. IEEE, (2008)Towards the inclusion of hydros soil moisture measurements in forecasting systems of the meteorological service of Canada., , , and . IGARSS, page 2741-2743. IEEE, (2005)Correction: Balsamo, G., et al. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing 2018, 10, 2038., , , , , , , , , and 36 other author(s). Remote. Sens., 11 (8): 941 (2019)