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8 results for “RADAR, Wind, wind profiler”

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zenodo36/100

A temporally continuous divergence and vorticity dataset in Beijing derived from the radar wind profiler mesonet during 2023

<p>A temporally continuous horizontal divergence and vertical vorticity dataset is produced by horizontal winds derived from the radar wind profilers &nbsp;mesonet in Beijing by applying the triangle method. This dataset covers the period of 2023 with a temporal resolution of 6-minute and a vertical resolution of 120 m. The dataset is of significance for a multitude of scientific research and applications, including air quality, convection initiation and so on. The latest version includes rain flags of triangles.</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Stratosphere-Troposphere wind profiler radar data

<p>Horizontal wind profiles from ST radar data at Cochin (10.04N, 76.33 E)&nbsp; during mosoon seasons (June to September) for three years (2019-2021)</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Turbulent dissipation rate and velocity spectrum at two radar wind profiler sites in North China

<p>This dataset includes the monthly mean velocity spectrum width and turbulence dissipation rate from 0900 local standard time (LST)&nbsp;&nbsp;to 1700 LST&nbsp;in 2021, which are retrieved from the radar wind profiler measurements at&nbsp;Baoding (urban) and Zhangbei (plateau) stations. Each data file is stored in xlsx format and contains two sheets, and each sheet is a two-dimensional data, including&nbsp;velocity spectrum width and turbulence dissipation rate. These two variables are stored in a matrix&nbsp;of&nbsp;30 rows and 9 columns. The row&nbsp;refers to the height at an interval of 120 meters, and the columns refers to time which corresponds to&nbsp;0900 to 1700 LST.&nbsp;</p>

opencc-by-4.0May 2023View details →
dryad32/100

Data from: Radar wind profilers and avian migration - a qualitative and quantitative assessment verified by thermal imaging and moon watching

1. Radars of various types have been used in ornithological research for about 70 years. However, the potential of radar wind profiler (RWP) as a tool for biological purposes remains poorly understood. The aim of this study is to assess the suitability of RWP for ornithological research questions. 2. A 1290 MHz RWP at the southeastern coast of the Bay of Biscay has been known to exhibit seasonally occurring nocturnal signals attributed to migrating birds. As a first step to verify the origin of these seasonal patterns, historical radar data from 2010-2012 were analysed, and both bird patterns and temporal occurrence were identified in RWP data at different levels of the signal processing. A thermal-imaging (TI) camera in conjunction with moon watching was used as verification systems at the radar site to confirm the ornithological origin of the radar echoes. The simultaneous data on spring migration served as a basis for the identification of biological signatures (qualitative parameters) on time series level (raw data) and to derive quantitative migration parameters (flight altitude, migration traffic rates) thereof. Finally the quantitative measurements of the TI camera and the radar were compared considering meteorological conditions. 3. The approach allowed identifying reproducible criteria based on time series to calculate migration traffic rates and altitudinal flight distribution. General flight directions were only available in the final wind data. In clear weather conditions the calibration methods coincided well with the wind profiler data. 4. Findings show that wind profiler raw data offers reliable information on migration intensity, flight altitudes and flight directions in a variety of meteorological conditions. The method presented can be applied as a complement to present efforts to use weather radars for large-scale bird monitoring. Furthermore it is also interesting for the meteorological community to refine signal-processing methods.

opencc-zeroDec 2016View details →
zenodo32/100

Summertime divergence profile over Beijing urban areas as calculated from the radar wind profile MESONET in Beijing

<p>This dataset contains the divergence&nbsp;profiles over Beijing urban areas&nbsp;&nbsp;at 1-h intervals as calculated based on&nbsp;the continuous measurements of horizontal wind from&nbsp;the radar wind profiler MESONET in&nbsp;Beijing. &nbsp;This dataset covered the period&nbsp;from May to September. It is stored in Matlab format. The&nbsp; divergence is organized by an array of&nbsp;66*24*153 (height * hour * day), and h is its corresponding altitude layer.</p>

opencc-by-4.0Mar 2023View details →
dryad32/100

Data from: Radar wind profilers and avian migration - a qualitative and quantitative assessment verified by thermal imaging and moon watching

Open the record for dataset details and reuse information.

publicApr 2017View details →
zenodo28/100

Prestorm atmospheric dynamic variable profiling dataset in Beijing as observed from the Radar wind profiler mesonet

<p>This dataset contains prestorm atmospheric dynamical variables of 30 minutes before rainfall onset in summer (June ~ August) for the period 2018&ndash;2019, which is determined by the measurements from the triangular mesonet of radar wind profile in Beijing. Each data file is stored in CSV format, containing the triangle area averaged divergence, vertical velocity and vorticity at 400、450、500、550, 600, 650, 700, 750, 775, 800, 825, 850, 875 and 900 hPa levels. The name for each data is formatted as RWP_YYYY_NNN hPa_Lead-MM min.csv, where YYYY refers to 2018 and 2019, NNN refers to 400、450、500、550, 600, 650, 700, 750, 775, 800, 825, 850, 875 and 900 hPa, and MM refers to 12, 18, 24, 30, 36 and 42 minutes prior to rainfall onset. &nbsp;</p>

opencc-by-4.0Jan 2023View details →
zenodo12/100

Radar - wind profiler data of RACLETS field campaign

<p>Please contact Maxime Hervo from MeteoSwiss for information about the data set.</p>

restrictedJul 2019View details →

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International Brain Laboratory public data

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