Sentence examples for precipitation estimation from inspiring English sources

A new technique for merging radar precipitation estimates and rain gauge data is developed and evaluated to improve multisensor quantitative precipitation estimation (QPE), in particular, of heavy-to-extreme precipitation.

Hsu, K. l., Gao, X., Sorooshian, S. & Gupta, H. V. Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks.

Quantitative precipitation estimation (QPE) is one of the important applications of weather radars.

Winter precipitation estimation improvement is also noticeable with significant RB and RMSE reductions.

Both methods are originally designed for near real-time high resolution precipitation estimation from remotely sensed data.

High spatiotemporal-resolution quantitative precipitation estimation (QPE) is one of the important applications of such a network.

Optimal selection of rain gauge number and location will improve the accuracy of areal average precipitation estimations with minimum cost.

The final run product revealed significantly improved precipitation estimations and successfully obtained higher accuracies over most parts of the country.

Ground clutter and beam blockage caused by complex terrain deteriorates the accuracy of radar quantitative precipitation estimations (QPE).

Impact of air temperature on the Maximum Precipitation (MP) estimation through change in moisture holding capacity of air was investigated.

Missing value predictions and the future precipitation value estimations were researched throughout this study.