Off-the-shelf data is only the starting point.

Standard forecasts provide a useful overview. Operational decisions often require more: a specific location, the right variables and a defined time window. WetterWelt prepares weather and ocean data to fit your workflow and technical environment.

You define the requirement. We deliver the right data.

01
Location
Which location or area?
  • Single coordinates
  • Multiple locations
  • Routes and area grids
  • Regional or global, depending on source
02
Parameters
Which weather variables?
  • Wind and gusts
  • Waves, currents and water level
  • Precipitation and visibility
  • Temperature and air pressure
03
Time range
Which horizon and update cycle?
  • Hourly or three-hourly
  • Up to 10 days, depending on variable
  • Updated after model runs
  • Scheduled delivery available
04
Delivery
Which delivery method?
  • REST API with structured data
  • OGC map services
  • PDF report by email
  • Combined delivery by agreement
Sample variable selection

We use these variables to configure your data product.

Atmosphere and wind
  • Wind speed and direction
  • Gusts and wind fields at different levels
  • Air pressure and temperature
  • Visibility, cloud cover and weather conditions
Precipitation and convection
  • Precipitation totals for 1, 3, 6, 12 and 24 hours
  • Convective potential (CAPE)
  • Convective inhibition (CIN)
  • Lifted Index and other indices
Waves and ocean
  • Significant wave height
  • Wind sea and swell
  • Wave directions and periods
  • Currents, water level and sea surface temperature
Ice and severe weather
  • Ice concentration and thickness
  • Tropical cyclone tracks
  • Direction and speed of movement
  • Wind radii for 34, 50 and 64 kt

This overview shows only a selection. We also offer many additional variables as well as model-, level-, time- and region-specific variants of those listed here. We define the available and most suitable combination together for each project.

Which variables does your project need?

We combine the right selection from available models, levels and data sources.

Data that fits your workflow.

The delivery method depends on the data product, your system and how the data will be used.

01 / API · JSON

REST API

Structured point and time-series data for direct processing in your application. We agree the format and scope with you.

Sample data · Kiel Fjord · 54.32°N 10.15°E · 72 h
Time Wind Gust Wave
13:00Z 18 kt 26 kt 1.2 m
14:00Z 21 kt 31 kt 1.4 m
15:00Z 23 kt 34 kt 1.6 m
16:00Z 22 kt 32 kt 1.5 m
→ JSON · selected variables · agreed schema
JSON · HTTPS · secure access
02 / MAP LAYER · OGC

WMS · WMTS · WFS

Weather layers for GIS and web maps through suitable OGC services. Availability depends on the data product.

Sample layer · 12 UTC
WIND_10M
10 nm



WMS · WMTS · other OGC services by data product
03 / PDF · EMAIL

PDF by email

A ready-to-use weather report based on agreed content and delivery schedule. No API or GIS integration required.

WW
WetterWelt · Sample report
06:00
Port of Kiel · 24-hour forecast · Sample document

Kiel-sample-report.pdf · 142 KB
Sample delivery schedule

Mon
Tue
Wed
Thu
Fri
Sat
Sun
PDF · email · design by agreement

Would you like to review format and quality?

For the agreed use case, we can provide suitable sample data for evaluation.

Applications for custom weather data.

How your data solution comes together.

From initial requirement to production in three transparent steps.

1

Define the requirement

You describe the location or area, required variables, recipients and purpose. We clarify the objective and suitable data sources.

2

Specify the data product

Together we define data scope, format, update cycle and delivery method. Where appropriate, we provide sample data for technical integration.

3

Test and go live

Production starts after technical acceptance. Support, service levels and commercial terms are agreed for each project.

Let’s discuss your data requirements.

Tell us the location or area, required variables and intended use. We will respond with a proposal for the data product and delivery method.

Discuss your project