Weather Radar Data Download ((EXCLUSIVE))

If you have reached this page your request is either invalid or the bookmark used needs to be recreated. On December 17, 2020, the National Weather Service updated the web application hosted at radar.weather.gov. For more information please see SCN 20-85. For frequently asked questions about the new radar application please see weather.gov/radarfaq.

The map tool uses the Reflectivity Mosaics products and web services provided by the Iowa Environmental Mesonet. Reflectivity is available from 1995 to near-real time in five-minute increments. The raw data are not available for download and are only accessible as images on this map or from the Iowa Environmental Mesonet.

Weather Radar Data Download

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The typical range of most radar products is 230 km from the radar site. However, mountains can block the lower sweeps of the radar beam. The Interactive Radar Map Tool shows map layers at the maximum distance (230 km), as well as maps derived from geospatial models that provide views of areas blocked by mountains.

Abstract. Application of weather radar data in urban hydrological applications has evolved significantly during the past decade as an alternative to traditional rainfall observations with rain gauges. Advances in radar hardware, data processing, numerical models, and emerging fields within urban hydrology necessitate an updated review of the state of the art in such radar rainfall data and applications. Three key areas with significant advances over the past decade have been identified: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applications, (2) rainfall estimation, radar data adjustment and data quality, and (3) nowcasting of radar rainfall and real-time applications. Based on these three fields of research, the paper provides recommendations based on an updated overview of shortcomings, gains, and novel developments in relation to urban hydrological applications. The paper also reviews how the focus in urban hydrology research has shifted over the last decade to fields such as climate change impacts, resilience of urban areas to hydrological extremes, and online prediction/warning systems. It is discussed how radar rainfall data can add value to the aforementioned emerging fields in current and future applications, but also to the analysis of integrated water systems.

Radar is an object detection system that uses radio waves to determine the range, altitude, direction of movement, and speed of objects. The antenna transmits pulses of radio waves or microwaves, which bounce off any object in their path. The object returns a tiny part of the wave's energy to a dish or antenna. For more information about how radar functions, please refer to the Introduction To Doppler Radar and Radar FAQ produced by NOAA's National Weather Service.

I am attempting to create a map weather map on ArcGIS Online. I am able to add layers that are available from ESRI and the NWS site itself. The static layers do not give any issues, however, when I attempt to link a layer that is timed (looped) it does not work.

The radar image depicts a line of showers and thunderstorms moving through parts of eastern Texas and western Louisiana. The radome (tower; right) is located at NOAA's National Weather Service office in El Paso, Texas. (Image credit: NOAA NWS)

The up-to-date weather radar from the FMI radar network is available as Open Data. The data contain both single radar data along with composites over Finland in GeoTIFF and HDF5-formats. Available composite parameters consist of radar reflectivity (DBZ), rainfall intensity (RR), and precipitation accumulation of 1, 12, and 24 hours. Single radar parameters consist of radar reflectivity (DBZ), radial velocity (VRAD), rain classification (HCLASS), and Cloud top height (ETOP 20). Raw volume data from singe radars are also provided in HDF5 format with ODIM 2.3 conventions. Radar data becomes available as soon as it's received from the radar and pre-processed into deliverable formats. Typically the most recent radar data was collected less than 5 minutes ago.

I would like to know if there is, or if there are any plans to include the possibility of reading X-Plane's weather radar data using plugin SDK, without utilizing X-Plane's UDP protocol (as described here) or going the long and tricky way of extracting relevant texture data from memory?

It seems like the most logical way to do so would be using the XPLMMap API, as X-Plane's Map window already includes the weather overlay layers, but I can't see any way to use this API to read any layers that were not created by your own plugin.

I too would like to see this in the SDK as having to UDP back to the same process is, quite frankly, ridiculous and embarrassing to LR.

There's also 2 weather output UDP mechanisms. The RADR packet detailed in the communicating with XP document and the XRAD packet from the Control Panel app. I personally prefer the XRAD packet but it will only go to one destination so I can't use the Control Pad app simultaneously.

Weather radars are uniquely positioned to provide automated and long-term monitoring of aerial biomass flows, an often unrecognized service to society (Bauer et al. 2017). While operational weather radars are deployed worldwide to provide essential meteorological data for near-real-time observations, atmospheric and climatological research, and meteorological services (Saltikoff et al. 2019b), they also detect biological targets such as flying insects, bats, and birds (Chilson et al. 2012) (Fig. 1). Existing networks of weather radars can therefore play a pivotal role in long-term and standardized monitoring of the abundance, biomass, activity, and movement patterns of the aerial fauna at continental scales (Bauer et al. 2017; Shamoun-Baranes et al. 2021).

To foster the use of weather radar networks for monitoring, understanding, and predicting aerial biomass flows, the European Network for the Radar surveillance of Animal Movement (ENRAM) was established with 24 participating countries including experts in ecology, meteorology, and information science (Shamoun-Baranes et al. 2014). This interdisciplinary collaboration resulted in a data license agreement between ENRAM members and the OPERA network that allows the use of weather radar data for ecological research, the implementation of a data processing pipeline, and the establishment an open access data repository of vertical profiles of bird migration ( -repository/). Although the spatial and temporal extent is still limited in Europe, this collaboration has inspired research on spatiotemporal patterns of avian migration (Nilsson et al. 2019; Nussbaumer et al. 2021b), the impact of environmental conditions on migration (Aurbach et al. 2020; Kemp et al. 2013), and forecasts of avian migration to improve aviation safety (van Gasteren et al. 2019).

Management of weather radar data for meteorological and hydrological applications across Europe is coordinated by OPERA, which serves as a central hub for access to these data and coordinates data exchange between national meteorological services (Huuskonen et al. 2014). Through the central data hub, users of weather radar data can make one request for data across international borders rather than contacting each meteorological service separately. However, because of budget constraints, recent changes in OPERA data exchange policies prioritize meteorological applications, especially to ensure high-quality precipitation products (Saltikoff et al. 2019a), and the implementation of these changes threatens the viability of European weather radar data for biological monitoring. To understand this threat, we define the types of data that are produced at various points in the radar data production chain (Fig. 2). At its starting point, the radar signal processor integrates pulse data into rays to ultimately produce sweeps, which are sent to a central radar product processor at the national meteorological service where they are combined into polar volume data. Base radar quantities (generated by the signal processor; see Fig. 2) that are available in polar volume data include reflectivity factor and radial Doppler velocity recorded at different antenna elevation angles, which are essential for extracting biological information (Dokter et al. 2011, 2019). If available, dual-polarization quantities, which provide better estimates of target size, shape, and distribution, and therefore improve the quality of meteorological products and the ability to identify biological targets (Kilambi et al. 2018; Stepanian et al. 2016), are also provided. Dual-polarization information may also be used by the national meteorological services to remove any nonmeteorological echoes from the polar volume data to create cleaned polar volumes. The resulting cleaned polar volume data yield better meteorological products such as precipitation composites; however, they are of no use for biological products (Fig. 3). The only type of data that is useful for extracting biological information is uncleaned polar volume data.

The original OPERA intent of requesting basic data from members was to enable consistent and systematic quality control for generating continental products from a heterogeneous radar network. However, infrastructure and budget limitations for transmission of all dual-polarization variables to OPERA severely limit systematic quality control for meteorological applications. Consequently, OPERA has changed its data exchange policy from requesting uncleaned polar volumes from national meteorological services to requesting cleaned polar volumes to realize the benefit of the national investments on dual-polarization technology and developments of data quality procedures for meteorological and hydrological applications (Saltikoff et al. 2019b). The ramifications of the current data exchange policy are profound and imply that most progress and investments toward unifying the European weather radar network for biodiversity monitoring will be undone, jeopardizing all Europe-wide biological applications of the network. 2351a5e196