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Applicability of Multi-Frequency Passive Microwave Observations and Data Assimilation Methods for Improving NumericalWeather Forecasting in Niger, Africa

机译：多频无源微波观测和数据同化方法在改善非洲尼日尔数值天气预报中的适用性

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Mohamed Rasmy; Toshio Koike; Xin Li;
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年度 2014
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1. Applicability of Multi-Frequency Passive Microwave Observations and Data Assimilation Methods for Improving Numerical Weather Forecasting in Niger, Africa [J] . Mohamed Rasmy, Toshio Koike, Xin Li Remote Sensing . 2014,第6期

机译：多频无源微波观测和数据同化方法在改善非洲尼日尔数值天气预报中的适用性
2. Assimilation of Passive Microwave Streamflow Signals for Improving Flood Forecasting: A First Study in Cubango River Basin, Africa [J] . Zhang Y., Hong Y., Wang X., Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2013,第6期

机译：吸收无源微波流信号以改善洪水预报：非洲库班戈河流域的首次研究
3. Evaluating the Impact of Assimilating Aerosol Optical Depth Observations on Dust Forecasts Over North Africa and the East Atlantic Using Different Data Assimilation Methods [J] . Yonghan Choi, Shu‐Hua Chen, Chu‐Chun Huang, Journal of Advances in Modeling Earth Systems . 2020,第4期

机译：使用不同的数据同化方法评估吸收气雾光学深度观测对粉尘预测的影响。使用不同的数据同化方法
4. Improving numerical weather forecast using multi-frequency passive microwave satellite observations and data assimilation methods [C] . Rasmy M., Koike T. IEEE International Geoscience and Remote Sensing Symposium . 2013

机译：利用多频无源微波卫星观测和数据同化方法改善数值天气预报
5. Passive Microwave Forward Modeling and Ensemble-Based Data Assimilation within a Regional-Scale Tropical Cyclone Model [D] . Sieron, Scott Buku. 2019

机译：区域规模热带气旋模型中被动微波向前建模和基于集合的数据同化
6. L-band microwave remote sensing and land data assimilation improve the representation of pre-storm soil moisture conditions for hydrologic forecasting [O] . W.T. Crow, F. Chen, R.H. Reichle, -1

机译：L波段微波遥感和土地数据同化可改善暴雨前土壤水分状况的表示以进行水文预报
7. L band microwave remote sensing and land data assimilation improve the representation of prestorm soil moisture conditions for hydrologic forecasting [O] . W. T. Crow, F. Chen, R. H. Reichle, 2017

机译：L频段微波遥感和土地数据同化改善了水文预测的普雷斯族土壤水分条件的代表

Applicability of Multi-Frequency Passive Microwave Observations and Data Assimilation Methods for Improving NumericalWeather Forecasting in Niger, Africa

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