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Data Products and Interpolation

Oak Ridges Moraine Groundwater Program

The Oak Ridges Moraine Groundwater Program (ORMGP) maintains an authoritative understanding of:

  1. the geological layering for the area;
  2. the groundwater flow system; and
  3. its linkage to the region’s surface waters and climatologies.

The ORMGP has the need to:

The following is an index to the data maintained and produced by the ORMGP. All data can be cited by a link below.

Data Sources

The ORMGP data systems described below are active, in that they are automatically updated at near real-time. From hourly and daily intervals, a series of “web-scraper” routines have been written to access open data made available from many sources including international, federal, provincial, municipal and conservation authority agencies. The objective is to “centralize” hydrogeological data for the south-central Ontario (Canada) jurisdiction that currently makes-up the ORMGP. Data sources: more details.



Locations with >35 monitoring dates

Drainage and Topology

Sub-watershed characterization and flow topology


Web Applications

Geocortex data portal

The ORMGP Geocortex Mapping hub has been divided into various Theme Maps to allow users to quickly hone in on the information they might be seeking. For example, the Documents Theme Map provides access to the program’s library of reports, The Boreholes Theme Map focuses on providing access to borehole specific information, and the Geology Theme Map provides access to all of the ORMGP geologically related mapping. The Theme Maps group specific related data sets or interpreted products (more info here).

Our current web-mapping system relies on Geocortex

our main web mapping system


R-Shiny-Leaflet mapping with access to our monitoring dataset.

Timeseries analysis

Open Data Products


Our metadata repository, Table of Contents.

Geospatial Layers

Static 2D fields, updated frequently

Clip ‘n Ship

Spatially interpolated, near real-time data

Distributed time-series data, updated nightly

Numerical Modelling

Numerical modelling are applied in two ways:

The first is a long-term data assimilation system that utilizes hydrological analysis tools (i.e., models) and leverages the ORMGP’s database. What amounts to data assimilation system (DAS) utilized modelling technology to provide real-time interpolation of the hydrological system, data we have access to. The computational structure of the DAS is specifically tailored to run as fast as possible, such that thousands of model “projections” made continuously on ORMGP servers. The results from this analysis will likely be offered as monthly ranges in long term seasonal water balance estimates.

Other tools are intended for predictive use, but are restricted to short-term (less than 30 days) projections. The design of these models is more physically rigorous but will always be dependent on other models (existing groundwater models or the DAS described here) to prescribe the antecedent conditions. While computational time for this model is orders of magnitudes greater than that of the DAS, it continuous to share the philosophy of designed whereby computation efficiency is paramount.

Combined, these two tools will provide all water groundwater resources needs for the ORMGP partners in order to:

  1. utilize readily available datasets provided daily by government agencies of Canada and the United States without the need for data pre-processing
  2. capture long-term hydrological water budget estimates with an emphasis on its certainty
  3. project near-term hydrological response given a known antecedent state

Existing numerical model files, output and sharing

Set of numerical models maintained in the custodianship program

Regional Water Budget, Long-term and Continuous

Short-term/event-based hydrology



A number of open-source and proprietary data analysis tools have been employed in our overall data management system. In contribution to the open-source community, much of our work has also left open on our Github.

ORMGP Servers

Databases and APIs

Web scraping


click here