scholarly journals Wavelet-based methods for clutter removal from radar wind profiler data

2004 ◽  
Author(s):  
Lutz A. Justen ◽  
Gerd Teschke ◽  
Volker Lehmann
Keyword(s):  
Wind Profiler ◽  
Clutter Removal ◽  
Profiler Data

An evaluation of two automated quality control methods designed for use with hourly wind profiler data

1994 ◽  
Vol 12 (8) ◽  
pp. 711-724 ◽  
Author(s):  
P. A. Miller ◽  
M. F. Barth ◽  
D. W. van de Kamp ◽  
T. W. Schlatter ◽  
B. L. Weber ◽  
...  
Keyword(s):  
Quality Control ◽  
Statistical Evaluation ◽  
Wind Profiler ◽  
Control Methods ◽  
Operational Environment ◽  
Central United States ◽  
National Networks ◽  
Automated Quality Control ◽  
Profiler Data

Abstract. The National Oceanic and Atmospheric Administration (NOAA) has completed the installation of a 30-site demonstration network of wind-profiling radars in the central United States. The network is being used to demonstrate and assess the utility of wind profiler technology in a quasi-operational environment, and to help define operational requirements for possible future national networks. This paper describes two automated quality control methods designed to remove erroneous winds from the hourly network data. Case study examples and statistical evaluation of the performance of each method are also presented.

Application of radar wind profiler data in analyzing the process of torrential rains in Urumqi Xinjiang, China

2017 ◽  
Vol 88 (3) ◽  
pp. 1677-1690 ◽  
Author(s):  
Minzhong Wang ◽  
Quan Ren ◽  
Yan Geng ◽  
Yanhong Chai
Keyword(s):  
Wind Profiler ◽  
Profiler Data

Relationships between Barrier Jet Heights, Orographic Precipitation Gradients, and Streamflow in the Northern Sierra Nevada

2010 ◽  
Vol 11 (5) ◽  
pp. 1141-1156 ◽  
Author(s):  
Jessica D. Lundquist ◽  
Justin R. Minder ◽  
Paul J. Neiman ◽  
Ellen Sukovich
Keyword(s):  
Linear Model ◽  
Sierra Nevada ◽  
Vertical Wind Shear ◽  
Radiosonde Data ◽  
Orographic Precipitation ◽  
Wind Profiler ◽  
Annual Variations ◽  
Snow Storage ◽  
Precipitation Gauge ◽  
Profiler Data

Abstract The rate of precipitation increase with elevation, termed the orographic precipitation gradient (OPG), is critically important for hydrologic forecasting in mountain basins that receive both rain and snow. Here, the following are examined to see how well they are able to predict the OPG and how it changes between storms and years: 1) a linear model of orographic precipitation forced by upstream radiosonde data, 2) monthly Parameter-Elevation Regressions on Independent Slopes Model (PRISM) precipitation data, and 3) seven years of hourly wind profiler data used to identify characteristics of the Sierra barrier jet (SBJ). These are compared against 124 daily resolution (four of which also had quality controlled, hourly resolution) precipitation gauge records in the northern Sierra Nevada. All methods represent the OPG well in the mean and during a year when less than 30% of the precipitation occurred on days with SBJs. However, the linear model and PRISM do not adequately capture annual variations in the OPG during years when more than 70% of the precipitation occurred on days with SBJs. Throughout all of the years, wind profiler data indicating the height of the SBJ provided additional, and necessary, information. The OPG is negatively correlated with the height of the SBJ. The SBJ height is lower, and hence, the OPG greater when the westerly winds are stronger, with more vertical wind shear. These westerly storms result in greater increases of precipitation with elevation, which act to increase snow storage in most storms but also to increase storm runoff during warmer-than-average storms.

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