Meteo Radar

At Meteoradar, you can find the most current and reliable radar images and precipitation charts for any location worldwide. It is possible to play the radar images at a faster speed, and a radar forecast for the next three hours is available. You can also pause and freeze the radar at a specific time.

Infoplaza is one of the largest all-round meteorological service providers for media, consumers, governments, and businesses. Additionally, Infoplaza has a mobility division for public transport and traffic information.

Meteo Radar

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I wrote a radar card that used the Australian radar data a while back, but it was limited to being useful for Australians only. I have recently found a more global source of radar data that I could use so have now created a new global version. It is not yet in the Default HACS store, but should be soon.

For now you can install it into HACS by manually adding the repo.

I had to say a big thank you for this card. I went down the entire weather radar rabbit hole and discovered the rainviewer weather website. Thought - oh wow what a cool thing - then not 2 minutes later I discovered your card which is awesome. Thanks!

Fix the other errors on the popup you are using first. To me it looks like that is not working properly. The missing height from the radar card is the same as the height of the errors.

Without a full config I have no way of being able to tell what you are even using.

If you provide more info please do it as an issue on the repository so it is easier to track.

Hello, first you have to rotate the white knob,as you did, one step tp Wx+T , then you have to move the switch placed on the left side of the knob to the right (position 2) and then back to left (position 1). You will see the green Wx+T appear in the ND. It will show the weather radar tracks only. To see the terrain radar too push the button on the right,outside of the ND (Terr on ND)

ByePIC 1 Meteo radar870532 69.5 KB

The French operational radar network is being upgraded and expanded from 2002 to 2006 by Meteo-France in partnership with the French Ministry of the Environment. A detailed examination of the quality of the raw polarimetric variables is reported here. The analysis procedures determine the precision of the measurements and quantify errors resulting from miscalibration, near-radome interference, and noise effects. Correction methods to remove biases resulting from effective noise powers in the horizontal and vertical channels, radar miscalibration, and the system offset in differential propagation phase measurements are presented and evaluated. Filtering methods were also required in order to remove azimuthal dependencies discovered with fields of differential reflectivity and differential propagation phase. The developed data quality analysis procedures may be useful to the agencies that are in the process of upgrading their radar networks with dual-polarization capabilities.

The Programme Aramis Nouvelles Technologie en Hydrometeorologie Extension et Renouvellement (PANTHERE) project of Meteo-France (Parent et al. 2003) seeks to improve the density of the French operational radar network, to replace old radars, and to consider an upgrade to dual polarization. The Trappes, France, radar, situated approximately 30 km to the southwest of Paris, was equipped with dual-polarization capabilities in the spring of 2004 and continues to collect data in an operational setting. A specific goal of the project is to assess the benefits to hydrology and microphysical retrievals afforded by polarization diversity radar in midlatitudes within an operational context. Prior to the development of these quantitative precipitation estimation and particle typing algorithms, a rigorous assessment of the accuracy and precision of each variable must proceed. This study identifies error sources predominant at C band, many of which are described in Keenan et al. (1998), quantifies their effects in a statistically significant manner, and, in some cases, presents techniques in order to correct for the resulting biases. The approach undertaken is general and can be easily adapted to other polarized radar systems. This is especially important to the many meteorological services that are currently upgrading their radar networks with dual polarization.

Biases in measured backscatter and propagation characteristics may result due to a variety of reasons. Measurements of differential reflectivity (ZDR) and coplanar cross-correlation coefficient at zero lag [HV(0)] at low signal-to-noise ratios (SNRs) can be biased negatively or positively and expressions exist to correct them (Liu et al. 1994). It has been shown that these receiver noise powers result in biases when the signal strength is sufficiently low. In this study, the ratio of effective noise terms (i.e., those that are both internal and external to the radar system) is estimated and subsequently considered in the calculation of ZDR and HV(0). A parameter describing the ratio of horizontal-to-vertical effective noise powers is optimized using rainfall measurements at vertical incidence to effectively remove biases resulting from noise.

Backscattered reflectivity at horizontal polarization (ZH) and ZDR may be biased either positively or negatively due to radar miscalibration. Calibration errors in the U.S. Weather Surveillance Radar-1998 Doppler (WSR-88D) network have been noted by several investigators (Bolen and Chandrasekar 2000; Gourley et al. 2003). While there is no universal method for radar calibration (Atlas 2002), the dependence between polarimetric variables may be used to improve the calibration of radar reflectivity (Goddard et al. 1994; Scarchilli et al. 1996; Gorgucci et al. 1999a; Illingworth and Blackman 2002; Ryzhkov et al. 2005). Reception of solar radiation and measurements from natural hydrometeors can be used to calibrate ZDR in an absolute sense (Gorgucci et al. 1999a; Bringi and Chandrasekar 2001; Ryzhkov et al. 2005). The differential propagation phase (DP) and HV(0) are known to be immune to radar calibration errors (Zrnic and Ryzhkov 1996).

Molecular absorption and scattering at C band by the rain medium reduces the amount of backscattered energy that reaches the radar. This process affects measured ZH and ZDR by reducing their values with increasing range. Quantification of attenuation-related errors is beyond the scope of study regarding the quality of raw polarimetric variables. Instead, we simply restrict our datasets to those that have low values of DP where attenuation effects are negligible.

In this paper, we will isolate the effects of interference, system noise, and calibration. Then, we will quantify the impact of these errors on each relevant polarimetric variable. These observational errors will also be compared to theoretical expectations, where applicable. Section 2 provides operating characteristics of the Trappes radar and examines possible interference problems on ZDR resulting from structures in the immediate vicinity of the radome. Section 3 reveals the impact of system noise on ZDR and HV(0). Section 4 explores the calibration of ZH, ZDR, as well as the system offset of differential propagation phase measurements (o) and aliased measurements. Estimates of the precision in differential phase (DP) and ZDR measurements are provided in section 5, and a brief summary follows. It is anticipated that this work may be used as a set of methodologies for other meteorological services that are interested in data quality of their dual-polarization radars.

A C-band Doppler weather radar system (type 510C) operates continuously as part of the French operational radar network. The radar is equipped with linear polarization capabilities in that it transmits horizontally and vertically polarized waves. The two receiving channels, which have nearly identical waveguide runs, operate in parallel and thus enable the simultaneous transmission and reception (STAR) mode of polarized signals. A diagram of the radar system is provided in Fig. 1. A staggered pulse repetition time (PRT) scheme was developed for retrieving and dealiasing Doppler velocities (Tabary et al. 2005). Technical details of the antenna, transmitter, receiver, and processor are provided in Table 1.

The radome enveloping the Trappes dish is constructed with 12 curved panels with seams that are aligned vertically. It has been suggested that the joints connecting these panels may result in two-way power losses at azimuths near these joints. This potential interference problem would be most noticeable with measurements of ZDR. A two-way power loss of reflectivity at vertical polarization (ZV) would be larger than with ZH at the azimuths corresponding to the vertically aligned joints, and could possibly increase values of ZDR. To test this hypothesis, analyses are produced for rainfall events that occurred on 17 December 2004, 24 March 2005, 13 May 2005, and 29 May 2005. These events are comprised of 23, 283, 24, and 15 respective tilts of data, all of which are collected at an elevation angle of 1.5, which is unblocked at this flat radar siting. Modulation of ZDR may be noticeable at 30 intervals if the joints are indeed causing transmission and reception losses. ff782bc1db