The present work reviews the implementation of adaptive metamodeling for reliability
analysis with emphasis in four main types of metamodels: response surfaces, polynomial …

The spatially and temporally variable parameters and inputs to complex groundwater
models typically result in long runtimes which hinder comprehensive calibration, sensitivity …

There is an increasing need for environmental management advice that is wide-scoped,
covering various interlinked policies, and realistic about the uncertainties related to the …

In the framework of risk assessment, computer codes are increasingly used to understand,
model and predict physical phenomena. As these codes can be very time-consuming to run …

Pre-growing season prediction of crop production outcomes such as grain yields and
nitrogen (N) losses can provide insights to farmers and agronomists to make decisions …

Building performance simulations (BPS) are used to test different designs and systems with
the intention of reducing building costs and energy demand while ensuring a comfortable …

The potent greenhouse gas nitrous oxide (N 2 O) is accumulating in the atmosphere at
unprecedented rates largely due to agricultural intensification, and cultivated soils …

This paper presents ideas for a new generation of agricultural system models that could
meet the needs of a growing community of end-users exemplified by a set of Use Cases. We …

Agriculture plays an imperative role in many countries' economies and is a substantive
source of survival. The variation in a soil nutrient decreases crop yield. An accurate soil …

Sensitivity analysis (SA) has become a basic tool for the understanding, application and
development of models. However, in the past, little attention has been paid to the effects of …