🌐 Louisiana Gridded Climate Data Explorer
Access comprehensive gridded climate data for Louisiana through our interactive Climate Engine platform. View continuous spatial coverage across the entire state with 20+ meteorological variables from multiple authoritative datasets.
Unlike point-based weather stations, gridded data provides complete spatial coverage at 1-4km resolution, ideal for regional climate analysis, agricultural planning, and research applications.
📊 Multiple Datasets
Access 4 major gridded climate datasets:
- gridMET: 20+ variables, daily updates
- PRISM: Official NOAA dataset
- TerraClimate: Drought indices
- Daymet: 1km resolution
🗺️ Complete Coverage
Continuous spatial data for all of Louisiana:
- 1-4km resolution grid cells
- Every parish covered
- Climate division summaries
- Click anywhere for time series
⚡ Near Real-Time
Access current and historical data:
- gridMET: Updated daily
- Historical data back to 1979
- Monthly and annual summaries
- Departure from normal
Learn About Available Datasets
Explore information about different gridded climate datasets below. Click each tab to learn about resolution, variables, and time ranges. You'll access these datasets by launching Climate Engine using the button further down the page.
gridMET - Near Real-Time Meteorological Data
gridMET provides high-resolution gridded meteorological data updated daily through yesterday. Ideal for operational monitoring, agricultural applications, and near real-time analysis.
PRISM - Official NOAA Climate Data
PRISM is the official gridded climate dataset used by NOAA, USDA, and state climatologists. Provides high-quality temperature and precipitation data with climate normals.
TerraClimate - Global Climate & Drought Indices
TerraClimate provides monthly climate data with derived indices including Palmer Drought Severity Index (PDSI), soil moisture, and climate water deficit. Ideal for long-term climate analysis and drought monitoring.
Daymet - High-Resolution Daily Data
Daymet provides daily surface weather data at the finest resolution (1km) for North America. Excellent for local-scale analysis and mountainous terrain.
📖 How to Use the Interactive Map
Select Dataset
Choose your preferred dataset using the tabs above. Each dataset offers unique variables and time ranges.
Configure in Climate Engine
In the Climate Engine interface below, select your dataset, variable, and set the region to Louisiana using the map tools.
Set Time Period
Select your desired time range - daily, monthly, or annual summaries available.
Launch & Explore
Click the "Open Climate Engine" button below to launch the application in a new window and start exploring Louisiana's climate data.
🌍 Interactive Climate Data Explorer
Access the full Climate Engine application to explore gridded climate data for Louisiana with interactive maps, time series analysis, and data download capabilities.
What you can do in Climate Engine: Select datasets (gridMET, PRISM, TerraClimate, Daymet), choose from 20+ variables, zoom to Louisiana, set time periods, click locations for time series, and download data.
Launch Climate Engine
Climate Engine opens in a new window where you can sign in (free) and access all features.
🚀 Open Climate EngineOpens in new window • Free sign-up required • Full access to all datasets and tools
🎯 Quick Start Guide
- Create Account: Click "Sign Up" in Climate Engine (free, takes 30 seconds)
- Select Dataset: Choose gridMET, PRISM, TerraClimate, or Daymet from dropdown
- Pick Variable: Select from temperature, precipitation, ET, wind, humidity, etc.
- Set Location: Search for "Louisiana" or zoom to your region of interest
- Choose Dates: Set your time period (daily, monthly, or annual)
- Explore: Click anywhere on the map to view time series and download data
✨ Why Use Climate Engine?
Access gridMET, PRISM, TerraClimate, Daymet, and more
Temperature, precipitation, wind, ET, VPD, solar, and more
gridMET updated daily through yesterday
Export time series and spatial data as CSV/GeoTIFF
Click any location for historical trends and statistics
Side-by-side dataset and variable comparisons
📊 Available Variables by Dataset
gridMET Variables (20+)
- Temperature: Min, Max, Mean, Dewpoint
- Precipitation: Daily total
- Wind: Speed, U/V components
- Humidity: Min, Max, Specific
- Solar: Radiation, Daily total
- ET: Grass & Alfalfa reference
- VPD: Vapor pressure deficit
- Fire: Burning Index, Fuel moisture
PRISM Variables (5)
- Temperature: Min, Max, Mean
- Precipitation: Total
- VPD: Min, Max
- Normals: 1991-2020 period
TerraClimate Variables (14)
- Temperature: Min, Max
- Precipitation: Total
- PDSI: Palmer Drought Index
- Soil: Soil moisture
- Water: Runoff, Deficit
- ET: Actual & Reference
Daymet Variables (7)
- Temperature: Min, Max
- Precipitation: Total
- Humidity: Vapor pressure
- Solar: Radiation
- Snow: Water equivalent
- Day: Day length
📚 Additional Resources
Learn more about gridded climate data and access additional tools and documentation.
ℹ️ About Gridded Climate Data
Gridded climate data provides continuous spatial coverage by interpolating observations from weather stations across a regular grid. This approach fills gaps between stations and enables regional climate analysis.
Advantages:
- Complete spatial coverage (no gaps between stations)
- Consistent resolution across entire region
- Ideal for GIS analysis and modeling
- Regional summaries and statistics
- Historical context and climate normals
Applications: Agricultural planning, drought monitoring, climate research, water resource management, environmental impact assessment, and regional climate analysis.