Global Hydrological Model

DATA

Get instant access to global hydrological data

Support your modelling work with easy access to hydrological hindcast and forecast data

Global Hydrological Model

Quick access to reliable hydrological data is critical when creating decision support applications. However, this type of data is often limited.
With coverage spanning almost the entire globe and major river basins, DHI’s Global Hydrological Model (GHM) is perfect for river operations planning and analysing flood and drought indexes as well as the impacts of river discharges. It can even be applied to studies that require finer resolution with local datasets. The best part? The model results are available instantly – no additional simulations are required.

Readily available high spatial resolution data

Directly access an extensive dataset of hydrological variables on a global scale with a resolution of 0.1 by 0.1 degree.

Available anytime, anywhere

Tap into a full suite of hydrological parameters – updated hourly – such as river discharge, overland flow, rootzone storage, baseflow, and total runoff with just an internet connection.

Long-term hindcast data

Support your analysis and design work with 20 years of historical global data.

Forecast data for real-time applications

Enhance your real-time operational applications with forecasts updated hourly with a 15-day lead time.

Seasonal forecasting capabilities

Improve long-term planning and risk assessment with a 9-month lead time for seasonal forecasting.

Key application areas

Rely on GHM data to:

  • Create new services and applications based on near-real time data
  • Supply hindcast and forecast data to support modelling work
  • Facilitate easier and faster model setup

Get started!

A subscription to MIKE Cloud is all you need to access the wealth of information available through the GHM.

It’s all about quality

The GHM is DHI’s response to the ever-growing number of global datasets. After carefully analysing and evaluating these global datasets, DHI has developed an automated workflow which allow us to efficiently use them to create and update a global hydrological model to support the demands of today’s market asking for fast and qualified hydrological data.

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