{
  "template_info": {
    "name": "climate-analysis",
    "version": "1.0.0",
    "description": "Climate data analysis with anomaly detection and trend analysis",
    "estimated_creation_time": "20-25 minutes",
    "complexity": "high"
  },
  "domain": {
    "primary": "climate",
    "secondary": ["weather", "environmental", "atmospheric-science"]
  },
  "apis": [
    {
      "name": "Open-Meteo",
      "url": "https://open-meteo.com/",
      "type": "free",
      "auth_method": "none",
      "rate_limit": "Unlimited",
      "data_coverage": "Global historical weather and forecasts",
      "priority": 1
    },
    {
      "name": "NOAA Climate Data API",
      "url": "https://www.ncdc.noaa.gov/cdo-web/webservices/v2/",
      "type": "free",
      "auth_method": "api_token",
      "rate_limit": "1000 calls/day",
      "data_coverage": "US climate data since 1850",
      "priority": 2
    }
  ],
  "analyses": [
    {
      "name": "climate_anomalies",
      "description": "Temperature and precipitation anomaly analysis",
      "metrics": ["Temperature Anomaly", "Precipitation Anomaly", "Extreme Events", "Trend Analysis"],
      "functions": ["calculate_anomalies", "detect_extremes", "trend_analysis", "seasonal_decomposition"]
    },
    {
      "name": "trend_analysis",
      "description": "Long-term climate trend detection and analysis",
      "metrics": ["Linear Trend", "Mann-Kendall Test", "Change Point Detection", "Climate Velocity"],
      "functions": ["calculate_trends", "statistical_significance", "change_point_analysis"]
    },
    {
      "name": "seasonal_analysis",
      "description": "Seasonal pattern analysis and comparison",
      "metrics": ["Seasonal Patterns", "Phenology Changes", "Growing Season Length", "Season Shift"],
      "functions": ["seasonal_decomposition", "phenology_analysis", "growing_season_analysis"]
    }
  ],
  "structure": {
    "type": "integrated",
    "directories": [
      "scripts/",
      "scripts/utils/",
      "tests/",
      "references/",
      "assets/",
      "data/raw/",
      "data/processed/",
      "data/analysis/"
    ],
    "main_files": [
      "fetch_climate_data.py",
      "process_climate_data.py",
      "analyze_anomalies.py",
      "analyze_trends.py",
      "plot_results.py",
      "utils/validators.py",
      "utils/statistics.py"
    ]
  },
  "cache_strategy": {
    "historical_data": "permanent",
    "current_year_data": "1 day",
    "processed_data": "1 week"
  },
  "validation_layers": [
    "data_completeness_validation",
    "temporal_consistency_validation",
    "statistical_validation",
    "climate_norm_validation"
  ],
  "output_formats": ["png", "pdf", "netcdf", "csv", "json"],
  "visualization_styles": {
    "anomaly_scatter": {
      "colors": ["#F7A699", "#C23B33", "#2C6CB0", "#D4E3F3"],
      "quadrants": ["wet-warm", "dry-warm", "wet-cold", "dry-cold"]
    }
  },
  "example_usage": [
    "Climate anomalies for New York 1990-2020",
    "Temperature trend analysis for Europe",
    "Seasonal precipitation patterns Brazil",
    "Extreme heat wave frequency analysis"
  ],
  "installation_requirements": [
    "pip install pandas numpy xarray netcdf4 matplotlib seaborn scipy",
    "pip install cartopy contextily"
  ]
}