RegionSat Enterprise v2.0

Planetary Intelligence.
Downscaled to Impact.

Access 70 years of rigorous climate data. From NASA POWER solar irradiance to ERA5 reanalysis and CMIP6 future projections.
Instant. Global. Accurate.

0PB
Climate Data
0
Historical Start
0+
CMIP6 Models
0ms
Query Latency
The Process

From Orbit to Spreadsheet

We simplify the complexity of satellite meteorology into a streamlined 3-step workflow.

01

Select Region

Use our interactive map to drop a pin or draw a bounding box anywhere on Earth to define your Area of Interest (AOI).

02

Config Parameters

Choose your variables (e.g., Soil Moisture), Horizon (Observed vs Future), and Frequency (Daily/Monthly).

03

Extract & Export

Instantly visualize trends in the browser or download clean CSV/Excel/NetCDF files for your research.

Comprehensive Data Spectrum

Technical specifications of available meteorological parameters.

Air Temperature (2m)

Daily mean, maximum, and minimum temperatures recorded at 2 meters height.

SourceERA5 / CMIP6
Unit°C / Kelvin
CoverageGlobal
Period1950 - 2100

Total Precipitation

Accumulated liquid and frozen water, including rain and snow equivalent.

SourceERA5 / CMIP6
Unitmm (Sum)
CoverageGlobal
Period1950 - 2100

Soil Moisture

Volumetric soil water content in the topsoil layer (0-7cm).

SourceNASA POWER
Unitm³/m³
CoverageGlobal
Period1981 - Present

Solar Radiation (GHI)

Global Horizontal Irradiance. Crucial for solar energy and evapotranspiration.

SourceNASA POWER
UnitW/m²
CoverageGlobal
Period1981 - Present

Wind Speed (10m)

Vector magnitude of U and V wind components at 10 meters height.

SourceERA5 Reanalysis
Unitm/s
CoverageGlobal
Period1959 - Present

Sea Surface Temp

Ocean skin temperature. Used for cyclone tracking and marine biology.

SourceERA5 Reanalysis
Unit°C
CoverageOceans
Period1950 - Present
Why RegionSat?

Engineered for Science

Multi-Model Ensemble

Compare historical observations against 10+ CMIP6 climate models (SSP245, SSP585). Visualize uncertainty ranges.

Backend Power

Powered by Python/Xarray with optimized NetCDF chunking. Processes 50-year daily time series in milliseconds.

Universal Export

Analysis-ready data formats: Excel, CSV, JSON, and NetCDF for GIS integration.

Solving Real World
Complexity.

From academic research to industrial application.

Precision Agriculture

Optimize planting schedules using historical Soil Moisture and Temperature trends.

Renewable Energy

Site assessment for Solar and Wind farms using 30-year GHI averages.

Technical Specifications
Spatial Resolution 0.1° x 0.1° (~9km)
Temporal Resolution Daily / Monthly
Coverage Global (Land & Ocean)
Update Frequency T-5 Days (Near Real-Time)
Output Formats .csv, .xlsx, .json, .nc
API Limit Unlimited (Open Access)

Ready to harness Earth data?

No credit card required. Instant open access to our DataHub.