论文信息 - L-Band Data for Numerical Weather Prediction and Emergency Services at ECMWF - 字舞流文

L-Band Data for Numerical Weather Prediction and Emergency Services at ECMWF

In this paper we present L-band data usage for Numerical Weather Prediction applications and Emergency Services at the European Centre for Medium-Range Weather Forecasts (ECMWF).

Nemesio Rodriguez-Fernandez | Matthias Drusch | Patricia de Rosnay | Stephen J. English | Joaquín Muñoz Sabater | Christel Prudhomme | Peter Weston | Francesca Di Giuseppe | Calum Baugh | David Fairbairn

[1] L. Isaksen,et al. SMOS brightness temperature forward modelling and long term monitoring at ECMWF , 2020 .

[2] Matthias Drusch,et al. The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS) , 2020, Remote. Sens..

[3] A. Al Bitar,et al. Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation , 2016 .

[4] Philippe Richaume,et al. SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact , 2019, Remote. Sens..

[5] Philippe Richaume,et al. SMOS near-real-time soil moisture product: processor overview and first validation results , 2017 .

[6] B. Krzeminski,et al. Fire weather index: the skill provided by ECMWF ensemble prediction system , 2020 .

[7] L. Isaksen,et al. Assimilation of SMOS brightness temperatures in the ECMWF Integrated Forecasting System , 2019, Quarterly Journal of the Royal Meteorological Society.