7/3/2023 0 Comments Weatherradar for hawaii![]() The HADS system acquires raw observations from Geostationary Operational Environmental Satellites (GOES) Data Collection Platforms (DCPs). The Hydrometeorological Automated Data System (HADS) is a real-time data acquisition and data distribution system operated by the NWS. Hydrometeorological Automated Data System Data for these stations can be obtained through the National Centers for Environmental Information (NCEI) database ( ). Sixty-five stations recording rainfall data at 15-minute intervals were identified across the Hawaiian Islands in this network, with some of them co-located with Ua-Hydro Net stations. Additionally, certain QCs have been applied to COOPV2 dataset 14. These stations, nearly all of which were part of Hourly Precipitation Data (HPD) version 1 (a.k.a., DSI-3240), were gradually upgraded from paper punch tape data recording systems to a modern electronic data logger system from 2004–2013. The Cooperative Observer Program version 2 (COOPV2) has hourly gauge rainfall from 1940 to the present. Moreover, most of Ua Net data within the latest seven days can be retrieved from the Hydrometeorological Automated Data System (HADS). 9 for more detail) were gradually discontinued or converted to Ua Net beginning in mid-2015. The gauges in Hydro Net (see Longman et al. The Ua-Hydro Net (“ua” means “rain” in Hawaiian language) includes Ua Net and Hydro Net, maintained by Pacific Region Headquarters of National Weather Service (NWS). Besides the updated Ua-Hydro Net, three additional networks were identified and added to the data compilation in this study: 9 under the section, Data Records, with one network, Ua-Hydro Net, updated from Hydro Net. Detailed information of nine out of 12 networks can be found in Longman et al. ![]() For Hawaiʻi-only networks, data typically can only be obtained from project principal investigators (PIs) or data managers. The hourly rainfall data were assembled through several national and international online data repositories and networks (Table 1). Additional networks and data repositories were explored and supplemented through this effort. ![]() 9, we extended the work to hourly rainfall data within all listed rain gauge networks and to the end of 2020. Based on the daily rain gauge networks between 19 in Longman et al. To compile a comprehensive Hawaiʻi-wide hourly rainfall dataset, we first identified and acquired data from all rain gauge networks. The paper is organized as follows: Methods-rainfall networks, step-by-step method for gauge rainfall QC, and the process to derive radar rainfall Data records-an overview of the data files and their formats and Technical Validations-comparing hourly radar rainfall with hourly gauge rainfall and things to be concerned when using the data. For radar rainfall, we produced the rainfall product by converting raw radar reflectivity into hourly rainfall using the Lidar Radar Open Software Environment (LROSE) 13. For hourly gauge rainfall, we acquired all the data, applied quality controls (QCs), and compiled the metadata. The goal of this paper is to describe the availability of hourly rainfall data in Hawaiʻi and provide: (1) rainfall data of 293 gauges from their installation date (the earliest, 1962) to 2020 and (2) a 0.005° by 0.005° ( \( \sim 250\times 250\ \)) gridded radar rainfall dataset between 20 under a level of confidence. ![]() All of these hinder studies of radar rainfall in Hawaiʻi. Flash floods, in particular, can occur suddenly (1 km) (3) the confidence of radar and its products’ performance in Hawaiʻi are unknown and (4) the parameters applied to the rain rate calculation are unclear. In Hawaiʻi, among all the natural hazards, flooding causes the most property damage and frequently threatens residents’ lives 1. Flood related studies (e.g., hydrological modelling, impacts on flood intensity under changing climate, heavy rainfall and flood warning, and flood mitigation planning) require high spatial and temporal resolution rainfall data.
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