A Double-Smoothing Algorithm for Integrating Satellite Precipitation Products in Areas with Sparsely Distributed In Situ Networks
The spatial distribution of automatic weather stations in regions of western China (e.g., Tibet and southern Xingjiang) is relatively sparse. Due to the considerable spatial variability of precipitation, estimations of rainfall that are interpolated in these areas exhibit considerable uncertainty ba...
Main Authors: | Shuoben Bi, Shengjie Bi, Dongqi Chen, Jian Pan, Jun Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-01-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/6/1/28 |
Similar Items
-
Adaptive Sparse Cyclic Coordinate Descent for Sparse Frequency Estimation
by: Yuneisy E. Garcia Guzman, et al.
Published: (2021-04-01) -
Estimation for Sensor Fusion and Sparse Signal Processing
by: Zachariah, Dave
Published: (2013) -
Two-Dimensional Angle Estimation of Two-Parallel Nested Arrays Based on Sparse Bayesian Estimation
by: Lu Chen, et al.
Published: (2018-10-01) -
A Sparse Signal Reconstruction Method Based on Improved Double Chains Quantum Genetic Algorithm
by: Qiang Guo, et al.
Published: (2017-09-01) -
Fusion of Sparse Reconstruction Algorithms in Compressed Sensing
by: Ambat, Sooraj K
Published: (2018)