{"id":1062,"date":"2025-09-12T05:32:14","date_gmt":"2025-09-12T05:32:14","guid":{"rendered":"https:\/\/cnelindia.com\/blog\/?p=1062"},"modified":"2025-09-12T05:32:14","modified_gmt":"2025-09-12T05:32:14","slug":"transforming-weather-forecasting-mobile-app-development-for-weaclim-solutions-pvt-ltd","status":"publish","type":"post","link":"https:\/\/cnelindia.com\/blog\/transforming-weather-forecasting-mobile-app-development-for-weaclim-solutions-pvt-ltd\/","title":{"rendered":"Transforming Weather Forecasting: Mobile App Development for WeaClim Solutions Pvt Ltd"},"content":{"rendered":"
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Project: define and implement a clear, user-centered structure for a weather products mobile app covering global and India-specific forecasts, WRF outputs, location-based predictions, aviation modules, and live local weather \u2014 ensuring discoverability, clarity and operational readiness.<\/p>\n<\/header>\n

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Client background & brief<\/h2>\n

WeaClim Solutions Pvt Ltd provides high-value meteorological products across global regions and India-specific sites. The goal was to help their technical team at CnEL conceptualize a structured mobile app that makes it easy for users to find region- and product-specific forecasts, request location-based predictions, and access live weather for their current location.<\/p>\n<\/section>\n

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Challenges identified<\/h2>\n
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  • Large product surface: nine regions \u00d7 eleven product types plus multiple forecast engines and >133 location-specific products risked confusing users without a clear structure.<\/li>\n
  • Technical team lacked a consolidated roadmap to convert content docs into a mobile UX and data model.<\/li>\n
  • Aviation forecast module and live-location features required careful UX & data design to be useful on the homepage without clutter.<\/li>\n
  • Need for scalability: add-on modules (miscellaneous customer requests) and future content must be easily pluggable.<\/li>\n<\/ul>\n<\/section>\n
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    Solution delivered by CnEL India<\/strong><\/h2>\n

    We provided a product-centric information architecture, a technical data model, and a phased implementation roadmap aligned to WeaClim\u2019s content and the PowerPoint flow presented to the technical team.<\/p>\n

    High-level product structure<\/h3>\n
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    1. Global Forecast (9 regions)<\/h4>\n

    Regions: Africa, Australia, East Asia, Eurasia, Europe, India (highlighted), North America, South America, World.<\/p>\n<\/div>\n

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    2. Eleven Product Types per Region<\/h4>\n
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    • Rainfall 24hrs<\/li>\n
    • Clouds 2hrs<\/li>\n
    • Low Level Convergence<\/li>\n
    • Upper Level Divergence<\/li>\n
    • Winds @ 200 hPa<\/li>\n
    • Winds @ 500 hPa<\/li>\n
    • Winds @ 700 hPa<\/li>\n
    • Winds @ 850 hPa<\/li>\n
    • Mean Sea Level Pressure<\/li>\n
    • Maximum Temperature<\/li>\n
    • Minimum Temperature<\/li>\n<\/ul>\n<\/div>\n<\/div>\n

      3. WRF Forecasts (Version 4.2)<\/h4>\n

      Short-range WRF products (e.g., WRF 27 km) organized similarly to regional products with clear labeling (model type, resolution, valid period).<\/p>\n

      4. Location-specific Forecasts<\/h4>\n

      133+ location predictions across 33 States\/UTs in India plus two miscellaneous sets to support ad-hoc customer requests. These are surfaced via a searchable location index and pinned favorites.<\/p>\n

      5. Aviation Module<\/h4>\n

      Designed as a separate module (launch-ready once final inputs are confirmed) with aviation-specific product filters and quick-access alerts for operators.<\/p>\n

      6. Live Local Weather<\/h4>\n

      Homepage card shows current weather and a concise forecast for the user’s detected location with a one-tap path to the full product suite for that location.<\/p>\n<\/section>\n

      \n

      Information architecture & navigation<\/h2>\n

      We designed a minimal, scalable navigation that supports both discovery and repeat tasks:<\/p>\n

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      • Top-level tabs:<\/strong> Home (live), Regions, India (expanded), Locations, WRF Models, Aviation, Search & Favorites.<\/li>\n
      • Region view:<\/strong> Region landing page lists the eleven products with quick-preview tiles and a date\/time selector for forecast cycles.<\/li>\n
      • Product view:<\/strong> Time-slider, overlay controls, metadata (model, run time, validity), and sharing\/export options.<\/li>\n
      • Location view:<\/strong> City\/state forecast with quick toggles for the most-used products (rainfall, temperature, winds).<\/li>\n
      • Persistent CTA:<\/strong> Request custom forecast or subscribe to notifications from any product page.<\/li>\n<\/ul>\n<\/section>\n
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        Technical design & data model<\/h2>\n

        We mapped the product structure to a normalized backend schema to support fast lookups and extensibility.<\/p>\n\n\n\n\n\n\n\n\n\n
        Entity<\/th>\nKey attributes<\/th>\n<\/tr>\n<\/thead>\n
        Region<\/td>\nregion_id, name, description, default_products<\/td>\n<\/tr>\n
        Product Type<\/td>\nproduct_id, name, unit, visualization_type, update_interval<\/td>\n<\/tr>\n
        Model Run<\/td>\nmodel_run_id, model_name (WRF\/other), resolution, run_time, expiry<\/td>\n<\/tr>\n
        Location<\/td>\nlocation_id, name, state, coords, population_rank<\/td>\n<\/tr>\n
        Forecast Tile<\/td>\ntile_id, region_id\/location_id, product_id, model_run_id, data_uri, metadata<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        Tile-based data URIs allow caching and CDN distribution for heavy visual products, while metadata supports filtering, licensing and export features.<\/p>\n<\/section>\n

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        UX & visual design principles<\/h2>\n
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        • Clarity first:<\/strong> Each screen shows what product the user is looking at, model details, and validity window.<\/li>\n
        • Progressive disclosure:<\/strong> Show high-level maps first; allow drill-down to time-series and raw model data if the user needs it.<\/li>\n
        • Performance-aware UI:<\/strong> Low-bandwidth visual representations and option to defer high-resolution tiles.<\/li>\n
        • Actionability:<\/strong> Quick-share, favorite, subscribe and request-custom-forecast CTAs accessible in one tap.<\/li>\n<\/ul>\n<\/section>\n
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          Phased implementation & recommended milestones<\/h2>\n
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          1. Phase 1 \u2014 Foundation (Weeks 1\u20133):<\/strong> Regions + India landing pages, product tiles, basic location search, live-home card.<\/li>\n
          2. Phase 2 \u2014 Model & WRF Integration (Weeks 4\u20136):<\/strong> WRF 4.2 outputs, model-run selector, caching strategy, and data URIs.<\/li>\n
          3. Phase 3 \u2014 Location Forecasts & Favorites (Weeks 7\u20139):<\/strong> 133+ India locations, search\/favorites, export PDF\/email feature.<\/li>\n
          4. Phase 4 \u2014 Aviation & Misc Modules (Weeks 10\u201312):<\/strong> Aviation-specific UX and miscellaneous customer-request pipelines.<\/li>\n
          5. Phase 5 \u2014 QA & Launch (Weeks 13\u201314):<\/strong> UAT, performance testing, documentation, and production rollout.<\/li>\n<\/ol>\n

            This timeline is illustrative; final schedule will be confirmed after a quick discovery sprint and access to sample data & the PowerPoint flow shared by WeaClim.<\/p>\n<\/section>\n

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            Testing, quality & operations<\/h2>\n
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            • End-to-end QA using representative data sets for each region and product type.<\/li>\n
            • Load testing for tile endpoints and CDN configuration.<\/li>\n
            • Acceptance tests with WeaClim\u2019s technical stakeholders including the aviation module reviewers.<\/li>\n
            • Monitoring & alerts for data freshness, model run failures and API errors.<\/li>\n<\/ul>\n<\/section>\n
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              Why CnEL India is the best team for this project<\/h2>\n
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              • Product-thinking + engineering:<\/strong> We translate domain documents into clear product structures and implementation-ready technical designs.<\/li>\n
              • Weather & data experience:<\/strong> Proven track record integrating model outputs and building performant map\/tile UIs.<\/li>\n
              • Scalable architecture:<\/strong> Emphasis on cacheable tiles, CDN-friendly URIs, and a normalized data model to support 100s of products.<\/li>\n
              • Collaborative delivery:<\/strong> Sandbox demos, technical walkthroughs, and hands-on support to bring confidence to internal teams.<\/li>\n
              • Future-ready:<\/strong> Modular design allows adding client-specific miscellaneous sets, advanced analytics, and subscription features without rewrites.<\/li>\n<\/ul>\n<\/section>\n
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                Favourable client review<\/h2>\n

                “Thank you \u2014 the roadmap CnEL India presented clarified a path from our product documents to an implementable mobile app structure. The team\u2019s practical layout for regions, product tiles and location forecasts made the technical work straightforward. Their focus on a sandbox-first approach and clear milestones gave our internal team confidence. We look forward to launching the app with this structure.”
                \n\u2014 Raman, WeaClim Solutions Pvt Ltd<\/em><\/strong><\/p><\/blockquote>\n<\/section>\n

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                Recommended next steps<\/h2>\n
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                1. Run a 3\u20135 day discovery sprint with WeaClim stakeholders to validate product priorities and confirm data sources for each product type.<\/li>\n
                2. Provide sample model output files and the PowerPoint flow referenced so CnEL India can build demo data for the sandbox.<\/li>\n
                3. Approve Phase 1 scope and sandbox provisioning so the team can deliver the first interactive prototypes.<\/li>\n<\/ol>\n<\/section>\n