Software: opld

Spatio-temporal prediction

To generate spatio-temporal representations of environmental processes it is necessary to integrate different types of data (observations, simulations), for different processes or environmental characteristics (temperature, wind, topography, precipitation, etc), from different sources and formats (NetCDF, GeoPackage, GDF, HDF, etc). opld takes distributed data in NetCDF format and compute spatial predictions over time given a generic estimated model.

The video here shows daily forecasts of soil moisture for the year 2017 using data from the period 2013-2016 from the COSMOS-UK monitoring network.

• Martinez, M. (2023). Daily estimates for meteorological and potential evapotranspiration variables (CHESS) and soil moisture estimates (JULES) at COSMOS-UK sites, 2013-2017. NERC EDS Environmental Information Data Centre. DOI:10.5285/2bc23a5a-3a47-44da-80f6-ced6ae4ac45f