scholarly journals Analysis of urban rainfall from hourly to seasonal scales using high‐resolution radar observations in the Netherlands

2019 ◽  
Vol 40 (2) ◽  
pp. 822-840 ◽  
Author(s):  
Iris Manola ◽  
Gert‐Jan Steeneveld ◽  
Remko Uijlenhoet ◽  
Albert A. M. Holtslag
Keyword(s):  
High Resolution ◽  
The Netherlands ◽  
Radar Observations ◽  
High Resolution Radar

scholarly journals River Discharge Simulation in the High Andes of Southern Ecuador Using High-Resolution Radar Observations and Meteorological Station Data

2019 ◽  
Vol 11 (23) ◽  
pp. 2804 ◽  
Author(s):  
Diego Mejía-Veintimilla ◽  
Pablo Ochoa-Cueva ◽  
Natalia Samaniego-Rojas ◽  
Ricardo Félix ◽  
Juan Arteaga ◽  
...  
Keyword(s):  
High Resolution ◽  
River Discharge ◽  
Water Resource Management ◽  
Meteorological Station ◽  
Hydrological Simulation ◽  
Radar Observations ◽  
Radar Images ◽  
Extreme Precipitation Events ◽  
Station Data ◽  
High Resolution Radar

The prediction of river discharge using hydrological models (HMs) is of utmost importance, especially in basins that provide drinking water or serve as recreation areas, to mitigate damage to civil structures and to prevent the loss of human lives. Therefore, different HMs must be tested to determine their accuracy and usefulness as early warning tools, especially for extreme precipitation events. This study simulated the river discharge in an Andean watershed, for which the distributed HM Runoff Prediction Model (RPM) and the semi-distributed HM Hydrologic Modelling System (HEC-HMS) were applied. As precipitation input data for the RPM model, high-resolution radar observations were used, whereas the HEC-HMS model used the available meteorological station data. The obtained simulations were compared to measured discharges at the outlet of the watershed. The results highlighted the advantages of distributed HM (RPM) in combination with high-resolution radar images, which estimated accurately the discharges in magnitude and time. The statistical analysis showed good to very good accordance between observed and simulated discharge for the RPM model (R2: 0.85–0.92; NSE: 0.77–0.82), whereas for the HEC-HMS model accuracies were lower (R2: 0.68–0.86; NSE: 0.26–0.78). This was not only due to the application of means values for the watershed (HEC-HMS), but also to limited rain gauge information. Generally, station network density in tropical mountain regions is poor, for which reason the high spatiotemporal precipitation variability cannot be detected. For hydrological simulation and forecasting flash floods, as well as for environmental investigations and water resource management, meteorological radars are the better choice. The greater availability of cost-effective systems at the present time also reduces implementation and maintenance costs of dense meteorological station networks.

High resolution radar observations of the 1999, 2000 and 2001 Leonid meteor storms over middle Europe and Northern Scandinavia

2004 ◽  
Vol 33 (9) ◽  
pp. 1496-1500 ◽  
Author(s):  
R. Latteck ◽  
W. Singer ◽  
N.J. Mitchell ◽  
J. Weiss ◽  
U. von Zahn
Keyword(s):  
High Resolution ◽  
Radar Observations ◽  
Middle Europe ◽  
High Resolution Radar

REDUCTION OF ASPECT DEPENDENT SPECKLE FLUCTUATIONS IN HIGH-RESOLUTION RADAR RANGE PROFILES

2010 ◽  
Vol 69 (8) ◽  
pp. 687-698 ◽  
Author(s):  
V. M. Orlenko ◽  
P. A. Molchanov ◽  
A. V. Totsky ◽  
Karen O. Egiazarian ◽  
J. T. Astola
Keyword(s):  
High Resolution ◽  
High Resolution Radar

Statistical analysis of the zero-phase method for aligning noisy high-resolution radar signals

2009 ◽  
Vol 3 (1) ◽  
pp. 62
Author(s):  
R. Gil-Pita ◽  
M. Rosa-Zurera ◽  
P. Jarabo-Amores ◽  
F. López Ferreras
Keyword(s):  
Statistical Analysis ◽  
High Resolution ◽  
Phase Method ◽  
High Resolution Radar ◽  
Radar Signals ◽  
Zero Phase

scholarly journals Using High-resolution Radar Rainfall Products to Improve City-scale Flood Models for Urban Resilience

2020 ◽  
Author(s):  
Irene Crisologo ◽  
Hao Luo ◽  
Marcelo Garcia ◽  
Scott Collis ◽  
Daniel Horton ◽  
...  
Keyword(s):  
High Resolution ◽  
Urban Resilience ◽  
Radar Rainfall ◽  
High Resolution Radar
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