Ecosphere
  • Introduction
  • Elevator Pitch
  • Pitch Deck
  • Lean Model Canvas
  • OVERVIEW
    • Mission
    • Problem Statement
    • Ecosphere Prime Solution
    • Benefits
    • Value Proposition
    • Use Cases By Industry
    • Achieving Net Zero
    • Technology Platform
    • "Waze For Weather"
    • Strategic Roadmap
  • Technology
    • Climate Intelligence Network
    • Climate Nodes
      • Prototype
      • Device Mockup
      • Device Setup
      • Node Location Planning
      • Node Explorer
    • Smart Nodes On Hedera
      • Web3
      • Smart Nodes Vs Smart Contracts
    • DIDs and Verifiable Credentials
    • Peer-to Peer Data Sharing
      • How We Use Hedera
      • Hedera Topics
      • Data Tokenization
      • Data Sharing
    • Decentralized Identity
    • Micro Royalties
    • Fractional Ownership
    • Integration
      • Climate Data Workbench
      • API
    • AI Forecasting
  • Functional Flows
    • Registering A New User
    • Registering A New Node
    • Data Collection From Nodes
    • Data Tokenization
    • Data Sharing
    • AI and DLT
    • Marketplace
    • Fractional Ownership
  • Community Product
    • Product Community Fit
    • Product Vision
    • Minimum Viable Product App
    • Wireframe
      • Onboarding
      • Walkthrough Tutorials
      • Wallet Creation
      • Location List
      • Weather Information
      • Location Options and Support
      • Timelapses
      • Animations
      • Weather Station Setup
      • Search and Explore
      • Settings
      • Sharing and Notifications
    • Style Guide
    • Visual Design Elements
    • Usernames Feature
  • Commercial Product
    • Sector Focus
    • Product Market Fit
    • Comprehensive Reporting and Dashboards
    • Climate Data Oracle
    • Go-To-Market
    • Competition
  • Tokenomics
    • Revenue Drivers
    • $PRIME Token
    • Value Capture Mechanism
    • Reward Structure
    • Locale Coverage
    • Nodes For Public Good
  • Community
    • Whitepaper
    • Public Good
    • Joining Ecosphere
    • Governance
    • Awareness
    • Disaster Readiness
    • Early Warning System
    • Socials
  • Project Developer
    • About
    • Team
    • Funding
    • Testnet Accounts
Powered by GitBook
On this page
  • Traditional Climate Data Collection and Forecasting Needs To Be Improved
  • Climate Data Sharing
  1. OVERVIEW

Problem Statement

Traditional Climate Data Collection and Forecasting Needs To Be Improved

Traditional weather forecasting systems provide generalized predictions applicable to broad regions. They do not account for localized factors such as variations in terrain, urban heat islands, or localized bodies of water, which can significantly influence weather conditions.

Moreover:

  • Climate change is leading to more frequent and severe weather events, heightening the need for precise, real-time weather data.

  • Accurate data is essential for predicting and mitigating the impacts of these extreme weather events on various sectors and communities.

Climate Data Sharing

Climate data often exists in silos, making it difficult for businesses, researchers, policymakers, and the public to access and use effectively. This fragmentation arises from the fact that data is gathered by numerous organizations across different regions and countries, each using varied methodologies and formats. This diversity leads to inconsistencies and a lack of standardization, complicating efforts to integrate and compare datasets. Additionally, access restrictions and proprietary data policies can further hinder the sharing of information between entities. The result is a dispersed and isolated set of data repositories, which challenges efficient climate research and decision-making processes.

PreviousMissionNextEcosphere Prime Solution

Last updated 4 months ago