--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "WeatherMem: Weather History" developer_entity: "JIRI CHOMAT" bundle_id: "JIRI-CHOMAT.Weather-Memory" app_store_id: "6759481997" google_play_id: "com.skriw.weatherhistory" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-03-03" report_date: "2026-05-19" last_verified: "2026-05-19T13:34:55.052Z" report_version: "1.0" total_reviews: 41 overall_rating: 2.64 confidence: "low" confidence_score: 0.05 data_age_days: 1 intelligence_version: 2 tags: ["weather", "free", "mobile app", "app review", "app analysis", "weather", "enthusiasts,", "researchers,"] canonical_url: "https://marlvel.ai/intel-report/weather/jiri-chomat-weather-memory" license: "CC-BY-NC 4.0" content_version: "v2" --- # WeatherMem: Weather History App Audit ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 2.64 > **TL;DR:** WeatherMem: Weather History is a weather app by JIRI CHOMAT, rated 2.64/5 by 41 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** WeatherMem: Weather History is a weather app by JIRI CHOMAT. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 2.64/5 (41 reviews) | | **Category** | Weather | | **Developer** | JIRI CHOMAT | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** JIRI CHOMAT - **Category:** Weather - **Target Audience:** Weather enthusiasts, researchers, and professionals requiring historical climate data for planning purposes. - **Platforms:** iOS & Android - **Version Audited:** 1.0 - **Audit Date:** 2026-05-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6759481997 - **Bundle ID:** JIRI-CHOMAT.Weather-Memory - **Google Play ID:** com.skriw.weatherhistory - **Data Window:** Analysis based on signals collected up to 2026-05-19 - **Short Description:** Explore Weather History Since 1950 ## Executive Snapshot WeatherMem provides global historical weather data dating back to 1950, including daily records for temperature, precipitation, and wind speed. The app is designed for researchers, planners, and weather enthusiasts to analyze climate trends through an accessible interface. It explicitly notes that data is interpolated rather than based on direct local measurements. ## App DNA (Features & Intent) - **[Standard] Historical Weather Database:** Provides access to daily weather records for any global location from 1950 to the present. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Climate Metric Tracking:** Displays specific historical data points including temperature, precipitation, and wind speed. * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Trend Analysis:** Enables users to explore and gain insights into long-term climate patterns. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Monetization Strategy - **Model:** Free ## The "So What?" (Strategic Takeaway) {#so-what} WeatherMem: Weather History is an established weather app that is completely free. With a 2.64/5 rating from 41 reviews, it shows polarized user reception. > **Bottom Line:** The app offers a broad historical weather dataset, though users should be aware that the information is interpolated and not guaranteed for accuracy. **Best for:** Weather enthusiasts, researchers, and professionals requiring historical climate data for planning purposes. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 2.64/5 | | Total Reviews | 41 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **WeatherMem: Weather History** (this app) | 2.64/5 | N/A | JIRI CHOMAT | | [KBZK Montana Weather](https://marlvel.ai/intel-report/weather/kbzk-montana-weather) | 4.1/5 | N/A | E.W. Scripps Company | | [Nautide: Tides, Wind, Waves +](https://marlvel.ai/intel-report/weather/com-nautide-app) | 4.6/5 | Excited | Igoox | | [NightFrost](https://marlvel.ai/intel-report/weather/com-maetsch-nachtfrost) | 1.0/5 | N/A | Heiko Matthias Maetsch | | [National Weather Forecast - NWS Local Forecasts on your TV!](https://marlvel.ai/intel-report/weather/national-weather-forecast-nws-local-forecasts-on-y) | N/A/5 | N/A | MyndArc, LLC | | [RadarScope](https://marlvel.ai/intel-report/weather/radarscope) | 4.2/5 | Mixed | Base Velocity, LLC | ## Company Profile - **Developer:** JIRI CHOMAT - **Website:** [https://weathermemory-site.pages.dev](https://weathermemory-site.pages.dev) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/ec/app/weathermem-historia-del-clima/id6759481997?uo=2) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.skriw.weatherhistory&hl=en&gl=ec) - **Dev Site:** [Official Website](https://weathermemory-site.pages.dev) - **Sources:** App store metadata. ## Related Intel Reports - [*KBZK Montana Weather*](https://marlvel.ai/intel-report/weather/kbzk-montana-weather) (E.W. Scripps Company) — 4.1/5 Rating | N/A Sentiment - [*Nautide: Tides, Wind, Waves +*](https://marlvel.ai/intel-report/weather/com-nautide-app) (Igoox) — 4.6/5 Rating | Positive Sentiment - [*NightFrost*](https://marlvel.ai/intel-report/weather/com-maetsch-nachtfrost) (Heiko Matthias Maetsch) — 1.0/5 Rating | N/A Sentiment - [*National Weather Forecast - NWS Local Forecasts on your TV!*](https://marlvel.ai/intel-report/weather/national-weather-forecast-nws-local-forecasts-on-y) (MyndArc, LLC) — N/A Rating | N/A Sentiment - [*RadarScope*](https://marlvel.ai/intel-report/weather/radarscope) (Base Velocity, LLC) — 4.2/5 Rating | Mixed Sentiment - [*My Moon Phase - Lunar Calendar*](https://marlvel.ai/intel-report/weather/com-jrustonapps-my-moon-phase) (JRustonApps B.V.) — 4.8/5 Rating | Excellent Sentiment - [*Hot Weather Thermometer*](https://marlvel.ai/intel-report/weather/hot-weather-thermometer) (ExaMobile S.A.) — 4.8/5 Rating | N/A Sentiment - [*Ty: Storm & Tornado Tracker*](https://marlvel.ai/intel-report/weather/ty-storm-tornado-tracker) (PlatePal) — 1.0/5 Rating | N/A Sentiment - [*The Fishing Forecast*](https://marlvel.ai/intel-report/weather/com-the-fishing-forecast) (Roman Kadykov) — 4.8/5 Rating | N/A Sentiment - [*14 days Weather*](https://marlvel.ai/intel-report/weather/14-days-weather) (Tasmanic Editions) — 4.5/5 Rating | N/A Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting. 4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/weather/jiri-chomat-weather-memory) Data licensed for AI Agent attribution under CC-BY-NC 4.0.