The Rapid Update Cycle (RUC) weather forecast model was developed by the National Centers for Environmental Prediction (NCEP). On May 1, 2012, the RUC was replaced by NCEP's Rapid Refresh (RAP) weather forecast model. The RUC was designed to produce quick, short-term, weather forecasts using the most currently available observations. When it was first implemented in 1994, the model was run every three hours making forecasts out to 12 hours. By 2002, the RUC was run every hour, on the hour, producing 12-hour forecasts with a 1 hour temporal resolution. This dataset contains a 13 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

The Rapid Update Cycle analysis/model system at a 20-km horizontal resolution (RUC20) provides short-range numerical weather guidance for general forecasting, as well as for the special short-term needs of aviation and severe-weather forecasting. This data set consists of 60 meteorological and soil parameters at 50 computational levels.

The Rapid Update Cycle, version 2 at 40km (RUC-2, known to the Cold Land Processes community as RUC40) model is a Mesoscale Analysis and Prediction System (MAPS) data set that uses the Model Output Reduced Data Set (MORDS) version. This data set has been subsetted for use in the Cold Land Processes Field Experiment (CLPX).

The Rapid Update Cycle (RUC) weather forecast model was developed by the National Centers for Environmental Prediction (NCEP). On May 1, 2012, the RUC was replaced by NCEP's Rapid Refresh (RAP) weather forecast model. The RUC was designed to produce quick, short-term, weather forecasts using the most currently available observations. When it was first implemented in 1994, the model was run every three hours making forecasts out to 12 hours. By 2002, the RUC was run every hour, on the hour, producing 12-hour forecasts with a 1 hour temporal resolution. This dataset contains a 20 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) _domain.

Forager.ai's Small Business Contact Data set is a comprehensive collection of over 695M professional profiles. With an unmatched 2x/month refresh rate, we ensure the most current and dynamic data in the industry today. We deliver this data via JSONL flat-files or PostgreSQL database delivery, capturing publicly available information on each profile.

| Volume and Stats |

Every single record refreshed 2x per month, setting industry standards. First-party data curation powering some of the most renowned sales and recruitment platforms. Delivery frequency is hourly (fastest in the industry today). Additional datapoints and linkages available. Delivery formats: JSONL, PostgreSQL, CSV. | Datapoints |

Over 150+ unique datapoints available! Key fields like Current Title, Current Company, Work History, Educational Background, Location, Address, and more. Unique linkage data to other social networks or contact data available. | Use Cases |

Sales Platforms, ABM Vendors, Intent Data Companies, AdTech and more:

Deliver the best end-customer experience with our people feed powering your solution! Be the first to know when someone changes jobs and share that with end-customers. Industry-leading data accuracy. Connect our professional records to your existing database, find new connections to other social networks, and contact data. Hashed records also available for advertising use-cases. Venture Capital and Private Equity:

Track every company and employee with a publicly available profile. Keep track of your portfolio's founders, employees and ex-employees, and be the first to know when they move or start up. Keep an eye on the pulse by following the most influential people in the industries and segments you care about. Provide your portfolio companies with the best data for recruitment and talent sourcing. Review departmental headcount growth of private companies and benchmark their strength against competitors. HR Tech, ATS Platforms, Recruitment Solutions, as well as Executive Search Agencies:

Build products for industry-specific and industry-agnostic candidate recruiting platforms. Track person job changes and immediately refresh profiles to avoid stale data. Identify ideal candidates through work experience and education history. Keep ATS systems and candidate profiles constantly updated. Link data from this dataset into GitHub, LinkedIn, and other social networks. | Delivery Options |

Flat files via S3 or GCP PostgreSQL Shared Database PostgreSQL Managed Database REST API Other options available at request, depending on scale required | Other key features |

Over 120M US Professional Profiles. 150+ Data Fields (available upon request) Free data samples, and evaluation. Tags: Professionals Data, People Data, Work Experience History, Education Data, Employee Data, Workforce Intelligence, Identity Resolution, Talent, Candidate Database, Sales Database, Contact Data, Account Based Marketing, Intent Data.

The Forager.ai Global Dataset is a leading source of firmographic data, backed by advanced AI and offering the highest refresh rate in the industry.

| Volume and Stats |

• Over 70M total records, the highest volume in the industry today.
• Every company record refreshed twice a month, offering an unparalleled update frequency.
• Delivery is made every hour, ensuring you have the latest data at your fingertips.
• Each record is the result of an advanced AI-driven process, ensuring high-quality, accurate data.

| Use Cases |

Sales Platforms, ABM and Intent Data Platforms, Identity Platforms, Data Vendors:

Example applications include:

1. Uncover trending technologies or tools gaining popularity.

2. Pinpoint lucrative business prospects by identifying similar solutions utilized by a specific company.

3. Study a company's tech stacks to understand the technical capability and skills available within that company.

B2B Tech Companies:

• Enrich leads that sign-up through the Company Search API (available separately).
• Identify and map every company that fits your core personas and ICP.
• Build audiences to target, using key fields like location, company size, industry, and description.

Venture Capital and Private Equity:

• Discover new investment opportunities using company descriptions and industry-level data.
• Review the growth of private companies and benchmark their strength against competitors.
• Create high-level views of companies competing in popular verticals for investment.

| Delivery Options |

• Flat files via S3 or GCP
• PostgreSQL Shared Database
• PostgreSQL Managed Database
• API
• Other options available upon request, depending on the scale required

Our dataset provides a unique blend of volume, freshness, and detail that is perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent. It stands as a cornerstone in our broader data offering, ensuring you have the information you need to drive decision-making and growth.

Tags: Company Data, Company Profiles, Employee Data, Firmographic Data, AI-Driven Data, High Refresh Rate, Company Classification, Private Market Intelligence, Workforce Intelligence, Public Companies.

No description found

Renewal and Subscription date enables you to engage your target accounts at the right time before they adopt your competitors solutions.

This is a critical part of the GTM strategy as one can device the action plan based on the Renewal & Subscription date(s).

The refresh cycle of Renewal & Subscription data is 45-60 days.

🇺🇸 미국

No description found

No description found

The Rapid Update Cycle (RUC) weather forecast model was developed by the National Centers for Environmental Prediction (NCEP). On May 1, 2012, the RUC was replaced by NCEP s Rapid Refresh (RAP) weather forecast model. The RUC was designed to produce quick, short-term, weather forecasts using the most currently available observations. When it was first implemented in 1994, the model was run every three hours making forecasts out to 12 hours. By 2002, the RUC was run every hour, on the hour, producing 12-hour forecasts with a 1 hour temporal resolution. This dataset contains a 20 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

The Rapid Refresh (RAP) numerical weather model took the place of the Rapid Update Cycle (RUC) on May 1, 2012. Run by the National Centers for Environmental Prediction (NCEP), RAP runs with two versions. The first generates weather data on a 13-km (8-mile) resolution horizontal grid and the second, the High-Resolution Rapid Refresh (HRRR), generates data down to a 3-km (2-mile) resolution grid for smaller regions of interest. RAP forecasts are generated every hour with forecast lengths going out 18 hours with a 1 hour temporal resolution. Multiple data sources go into the generation of RAP forecasts: commercial aircraft weather data, balloon data, radar data, surface observations, and satellite data. This dataset contains a 13 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

The Rapid Refresh (RAP) numerical weather model took the place of the Rapid Update Cycle (RUC) on May 1, 2012. Run by the National Centers for Environmental Prediction (NCEP), RAP runs with two versions. The first generates weather data on a 13-km (8-mile) resolution horizontal grid and the second, the High-Resolution Rapid Refresh (HRRR), generates data down to a 3-km (2-mile) resolution grid for smaller regions of interest. RAP forecasts are generated every hour with forecast lengths going out 18 hours with a 1 hour temporal resolution. Multiple data sources go into the generation of RAP forecasts: commercial aircraft weather data, balloon data, radar data, surface observations, and satellite data. This dataset contains a 20 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

Project data from ePM (Electronic Project Management). This service contains point and line layers for UDOT's roadway projects stored in ePM. This is a LRS derived layer with a daily refresh cycle. For questions on this data please contact Ron Parks at rparks@utah.gov. To download this data please visit UDOT's Open Data Site.

Xverum empowers tech-driven companies to elevate their solutions by providing comprehensive global company data. With over 50 million comprehensive company profiles, we help you enrich and expand your data, conduct extensive company analysis, and tailor your digital strategies accordingly.

Top 5 characteristics of company data from Xverum:

• Monthly Updates: Stay informed about any changes in company data with over 40 data attributes per profile.

• 3.5x Higher Refresh Rate: Stay ahead of the competition with the freshest prospect data available as you won't find any profile older than 120 days.

• 5x Better Quality of Company Data: High-quality data means more precise prospecting and data enrichment in your strategies.

• 100% GDPR and CCPA Compliant: Build digital strategies using legitimate data.

• Global Coverage: Access data from over 200 countries, ensuring you have the right audience data you need, wherever you operate.

At Xverum, we're committed to providing you with real-time B2B data to fuel your success. We are happy to learn more about your specific needs and deliver custom company data according to your requirements.

UK B2B People Database | 65M+ Professionals | 95% Contact Accuracy For UK teams needing local precision with global-grade insights, Forager.ai delivers the UK’s and Global B2B people Data, B2B company data with people intelligence – verified mobile numbers, work emails, and career histories for executives, managers, and technical specialists across every postcode.

Why This Beats Generic UK Data ✅ AI-Powered Verification Every contact is validated against: ✔ Active corporate domains ✔ LinkedIn activity patterns ✔ Regional hiring trends

✅ Career Timeline Tracking Bi-weekly updates capture:

Promotions to decision-making roles

Department transfers (IT → Procurement)

Recent redundancies (timely outreach opportunities)

✅ Regional Nuance London vs. Midlands vs. Scottish contacts include: ✔ Local office addresses ✔ Regional management hierarchies ✔ Industry-specific skills (Edinburgh fintech vs. Birmingham manufacturing)

✅ Ethical Compliance UK-GDPR aligned with:

Automated SAR processing

Right-to-erasure workflows

SME exemption guidance

Your Complete UK People Toolkit Core Data Per Contact: ✔ Direct mobile & desk numbers (with dialing codes) ✔ Verified corporate & personal emails ✔ Career path (past 3 UK-based roles + tenure) ✔ Skills matrix (certifications, niche expertise) ✔ Management scope (direct reports, budget size) ✔ Open-source activity (GitHub commits for tech roles)

How UK Teams Use This 🔸 Sales Leaders: → Target CFOs at scaling Manchester SaaS firms → Track Bristol engineers adopting AI tools

🔸 Recruiters: → Source NHS digital leads before job postings → Find Edinburgh Uni machine learning graduates

🔸 VCs/PE Firms: → Map leadership teams at Leeds fintech startups → Identify exiting founders post-acquisition

🔸 Marketing Teams: → Personalize ABM campaigns by regional dialect → Enrich HubSpot/Salesforce with local office data

Enterprise-Ready for UK Businesses

API: Real-time sync with UK CRMs (Pipedrive, Copper)

PostgreSQL: Regionally segmented databases

CSV/JSON: Postcode-targeted campaign files

Compliance: Auto-redact sensitive fields (UTR/NI numbers)

Proof in the Postcode → 92% Accuracy on mobile numbers for London FTSE 250 contacts → 41% Faster Outreach with verified local dialing codes → Free M4 Corridor Sample – 500 contacts for Reading/Swindon/Bristol

UK B2B Contacts | London Decision-Makers | GDPR-Compliant Data | Regional People Intelligence | Verified Mobile Numbers | Career History Database | Skills-Based Recruitment | UK Tech Talent | Local Office Contacts | SME Leadership Data

description: The Rapid Update Cycle (RUC) is an operational atmospheric prediction system comprised primarily of a numerical forecast model and an analysis system to initialize that model. Mesoscale Analysis and Prediction System (MAPS) is the research counterpart to the RUC. The RUC has been developed to serve users needing short-range weather forecasts. RUC runs operationally at the National Centers for Environmental Prediction (NCEP). The key features of RUC/MAPS include:

• high-frequency (every 1h) 3-d objective analyses over the contiguous United States
• high-frequency (every 1h) short-range weather model
• forecasts (out to 12 h) in support of aviation and other mesoscale weather forecast users assimilation of data from:
• commercial aircraft (relayed through ACARS – Aircraft Communications, Addressing, and Reporting System)
• wind profilers (404 and boundary-layer 915 MHz)
• rawinsondes and special dropwinsondes
• surface reporting stations and buoys
• RASS (Radio Acoustic Sounding System) – experimental
• VAD (velocity-azimuth display) winds from NWS WSR-88D radars
• GOES total precipitable water estimates
• SSM/I total precipitable water estimates
• GPS total precipitable water estimates
• GOES high-density visible and IR cloud drift winds

; abstract: The Rapid Update Cycle (RUC) is an operational atmospheric prediction system comprised primarily of a numerical forecast model and an analysis system to initialize that model. Mesoscale Analysis and Prediction System (MAPS) is the research counterpart to the RUC. The RUC has been developed to serve users needing short-range weather forecasts. RUC runs operationally at the National Centers for Environmental Prediction (NCEP). The key features of RUC/MAPS include:

• high-frequency (every 1h) 3-d objective analyses over the contiguous United States
• high-frequency (every 1h) short-range weather model
• forecasts (out to 12 h) in support of aviation and other mesoscale weather forecast users assimilation of data from:
• commercial aircraft (relayed through ACARS – Aircraft Communications, Addressing, and Reporting System)
• wind profilers (404 and boundary-layer 915 MHz)
• rawinsondes and special dropwinsondes
• surface reporting stations and buoys
• RASS (Radio Acoustic Sounding System) – experimental
• VAD (velocity-azimuth display) winds from NWS WSR-88D radars
• GOES total precipitable water estimates
• SSM/I total precipitable water estimates
• GPS total precipitable water estimates
• GOES high-density visible and IR cloud drift winds

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh .

HRRR implementations at NCEP HRRRv1 - 30 Sept 2014 HRRRv2 - 23 Aug 2016 HRRRv3 - 12 July 2018 HRRRv4 - IMPLEMENTED 12z Wed 2 Dec 2020 Information here in HRRRv4/RAPv5 summary - Jan 2020 HRRR Colorado Labs Award video - a 2-minute layperson-level description on the HRRR from late 2015 and why it is important. (October 2015) HRRRv4/RAPv5 .

Key features for HRRRv4: improved cloud representation for boundary-top clouds, especially for shallow cold-air layers with cold-air retention better cloud bands (snow squalls, hurricane bands, lake-effect bands) 3km ensemble data assimilation for improved storm prediction for 1-12h inline smoke prediction improved lake temperatures Extension to 48h forecast every 6h. HRRR Ensemble (HRRRE) prediction - documentation as of March 2020

The operational version of the HRRR (currently HRRRv3) was implemented at NCEP 12 July 2018.

The experimental HRRR is run by NOAA/ESRL/GSD as a real-time demonstration of advanced versions of the HRRR, ahead of the NCEP operational version. Experimental versions of the HRRR started to run in 2010 and from October 2014 onward, continuing to run more advanced versions than the NCEP operational version but with slightly lower reliability. Usually yearly upgrades are made at ESRL. HRRRv2 physics description in Benjamin et al. 2016, A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh. Mon. Wea. Rev., 144, 1669-1694.

Location of motorized and non-motorized boat launches that are not under Seattle Parks and Recreation jurisdiction.Refresh Cycle: WeeklyFeature Class: DPR.OtherBoatLaunches