A Field Experiment of Rainfall Intensity Estimation Based on the Analysis of Satellite-to-Earth Microwave Link Attenuation

2019 ◽  
pp. 137-144
Author(s):  
M. Colli ◽  
M. Stagnaro ◽  
A. Caridi ◽  
L. G. Lanza ◽  
A. Randazzo ◽  
...  
Keyword(s):  
Field Experiment ◽  
Rainfall Intensity ◽  
Intensity Estimation ◽  
Microwave Link

scholarly journals Rainfall Estimation Accuracy of a Nationwide Instantaneously Sampling Commercial Microwave Link Network: Error Dependency on Known Characteristics

2019 ◽  
Vol 36 (7) ◽  
pp. 1267-1283 ◽  
Author(s):  
L. W. de Vos ◽  
A. Overeem ◽  
H. Leijnse ◽  
R. Uijlenhoet
Keyword(s):  
Coefficient Of Variation ◽  
Rainfall Intensity ◽  
Sampling Rate ◽  
Early Morning ◽  
Estimation Accuracy ◽  
Signal Attenuation ◽  
Late Night ◽  
Instantaneous Sampling ◽  
Overall Performance ◽  
Microwave Link

AbstractCommercial microwave links are installed and maintained for the purpose of telecommunication. Hydrometeors between transmitting and receiving antennas cause the microwave signal to be attenuated. From signal attenuation, the path-averaged rainfall intensity can be calculated. A 7-month dataset of instantaneously logged signal powers from almost 2000 unique links in the Netherlands is analyzed. Rainfall intensities are calculated with the RAINLINK package with a novel preprocessing module, enabling the package to be applied on instantaneously logged data from now on. Rainfall intensities per link are validated with the path-averaged rainfall intensities according to a gauge-adjusted radar product. Both the overall performance and the dependence of errors on link characteristics and measurement conditions are evaluated. The coefficient of variation decreases from 3.70 to 2.32 and the correlation increases from 0.30 to 0.63 from instantaneous to daily estimates of rainfall accumulations. The coefficient of variation is also smaller during heavy rainfall. Errors are largest for pathlengths shorter than 2 km, for observations during the late night and early morning, and for observations during colder months (when solid or melting precipitation could occur and dew is more likely to form on the antennas). Comparison of our results with those of earlier studies shows that minimum/maximum sampling (widely employed in network management systems) outperforms instantaneous sampling regarding detection of both quantity and occurrence of rain at a 15-min sampling rate in the Dutch climate.

scholarly journals Method and experiment of rainfall intensity inversion using a microwave link based on support vector machine

2015 ◽  
Vol 64 (24) ◽  
pp. 244301
Author(s):  
Song Kun ◽  
Gao Tai-Chang ◽  
Liu Xi-Chuan ◽  
Yin Min ◽  
Xue Yang
Keyword(s):  
Support Vector Machine ◽  
Rainfall Intensity ◽  
Support Vector ◽  
Microwave Link

scholarly journals The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation

2021 ◽  
Vol 13 (16) ◽  
pp. 3274
Author(s):  
Kingsley K. Kumah ◽  
Joost C. B. Hoedjes ◽  
Noam David ◽  
Ben H. P. Maathuis ◽  
H. Oliver Gao ◽  
...  
Keyword(s):  
Second Generation ◽  
Rainfall Intensity ◽  
Rain Gauge ◽  
Conventional Technique ◽  
Rain Area ◽  
Evaluation Scores ◽  
Rain Events ◽  
Spatially Varying ◽  
Microwave Link ◽  
Rainfall Estimates

Commercial microwave link (MWL) used by mobile telecom operators for data transmission can provide hydro-meteorologically valid rainfall estimates according to studies in the past decade. For the first time, this study investigated a new method, the MSG technique, that uses Meteosat Second Generation (MSG) satellite data to improve MWL rainfall estimates. The investigation, conducted during daytime, used MSG optical (VIS0.6) and near IR (NIR1.6) data to estimate rain areas along a 15 GHz, 9.88 km MWL for classifying the MWL signal into wet–dry periods and estimate the baseline level. Additionally, the MSG technique estimated a new parameter, wet path length, representing the length of the MWL that was wet during wet periods. Finally, MWL rainfall intensity estimates from this new MSG and conventional techniques were compared to rain gauge estimates. The results show that the MSG technique is robust and can estimate gauge comparable rainfall estimates. The evaluation scores every three hours of RMSD, relative bias, and r2 based on the entire evaluation period results of the MSG technique were 2.61 mm h−1, 0.47, and 0.81, compared to 2.09 mm h−1, 0.04, and 0.84 of the conventional technique, respectively. For convective rain events with high intensity spatially varying rainfall, the results show that the MSG technique may approximate the actual mean rainfall estimates better than the conventional technique.

scholarly journals A temporal downscaling approach for sub-daily gridded extreme rainfall intensity estimation under climate change

2021 ◽  
Vol 35 ◽  
pp. 100811
Author(s):  
Ana I. Requena ◽  
Truong-Huy Nguyen ◽  
Donald H. Burn ◽  
Paulin Coulibaly ◽  
Van-Thanh-Van Nguyen
Keyword(s):  
Climate Change ◽  
Rainfall Intensity ◽  
Extreme Rainfall ◽  
Intensity Estimation

Rill development and its change rate: a field experiment under constant rainfall intensity

CATENA ◽  
2021 ◽  
Vol 199 ◽  
pp. 105112
Author(s):  
Pinglang Kou ◽  
Qiang Xu ◽  
Ali P. Yunus ◽  
Xiujun Dong ◽  
Yujian Zhong ◽  
...  
Keyword(s):  
Field Experiment ◽  
Rainfall Intensity ◽  
Change Rate

scholarly journals Method and experiment of path rainfall intensity inversion using a microwave link based on nonspherical rain-induced model

2017 ◽  
Vol 66 (15) ◽  
pp. 154301
Author(s):  
Song Kun ◽  
Gao Tai-Chang ◽  
Liu Xi-Chuan ◽  
Yin Min ◽  
Xue Yang
Keyword(s):  
Rainfall Intensity ◽  
Microwave Link

scholarly journals Research on the method and experiment of path rainfall intensity inversion using a microwave link

2015 ◽  
Vol 64 (17) ◽  
pp. 174301
Author(s):  
Gao Tai-Chang ◽  
Song Kun ◽  
Liu Xi-Chuan ◽  
Yin Min ◽  
Liu Lei ◽  
...  
Keyword(s):  
Rainfall Intensity ◽  
Microwave Link

Rainfall intensity estimation from sound for generating CG of rainfall scenes

2018 ◽  
Author(s):  
Ryota Nakazato ◽  
Hiroyuki Funakoshi ◽  
Tomokazu Ishikawa ◽  
Yusuke Kameda ◽  
Ichiro Matsuda ◽  
...  
Keyword(s):  
Rainfall Intensity ◽  
Intensity Estimation
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