The figures show the uncertainty of the predictions made by using 1PD, 12PD and 123PD from Fig 8 respectively. We see that 1PD has a very high average uncertainty and has a high uncertainty in almost the whole country. Using 12PD reduces that average uncertainty a lot, but there are still large areas with high uncertainty. By adding 3PD we see that these areas with high uncertainty are greatly reduced, resulting in an even lower average uncertainty. The base map is public domain and is available via: https://www.naturalearthdata.com/.</p
A discussion is presented of the different sources of uncertainty in the production of climate chang...
<p>Combinations between level and nature of uncertainty give place to 6 different types of uncertain...
The aggregation of the variables that compose an indicator, as GDP, which should be forecasted, is n...
The figures show the uncertainty of the predictions made by using 1PD, 12PD and 123PD from Fig 6 res...
Uncertainty predictions for the predictions shown in Fig 10. The base map is public domain and is av...
<p>Uncertainty in the base case probability of a catch being from the ENP population quantified usin...
Faced by the realities of a changing climate, decision makers in a wide variety of organisations are...
In this paper I present a methodology to provide uncertainty measures at the regional level in real ...
Maps visualizing uncertainty in future forecasts for the Kenai Peninsula, Alaska. Model agreement re...
This special section aims to demonstrate the limited predictability and high level of uncertainty in...
Uncertainty is an unavoidable attribute of practically any type of data including area and carbon st...
Uncertainty is one of the most essential and fundamental issues that requires full attention in almo...
The data provided below represents the degree of uncertainty or variation between 8 individual gener...
We separate and quantify the sources of uncertainty in projections of regional (*2,500 km) precipit...
The process of moving from an ensemble of global climate model temperature projections to local sea ...
A discussion is presented of the different sources of uncertainty in the production of climate chang...
<p>Combinations between level and nature of uncertainty give place to 6 different types of uncertain...
The aggregation of the variables that compose an indicator, as GDP, which should be forecasted, is n...
The figures show the uncertainty of the predictions made by using 1PD, 12PD and 123PD from Fig 6 res...
Uncertainty predictions for the predictions shown in Fig 10. The base map is public domain and is av...
<p>Uncertainty in the base case probability of a catch being from the ENP population quantified usin...
Faced by the realities of a changing climate, decision makers in a wide variety of organisations are...
In this paper I present a methodology to provide uncertainty measures at the regional level in real ...
Maps visualizing uncertainty in future forecasts for the Kenai Peninsula, Alaska. Model agreement re...
This special section aims to demonstrate the limited predictability and high level of uncertainty in...
Uncertainty is an unavoidable attribute of practically any type of data including area and carbon st...
Uncertainty is one of the most essential and fundamental issues that requires full attention in almo...
The data provided below represents the degree of uncertainty or variation between 8 individual gener...
We separate and quantify the sources of uncertainty in projections of regional (*2,500 km) precipit...
The process of moving from an ensemble of global climate model temperature projections to local sea ...
A discussion is presented of the different sources of uncertainty in the production of climate chang...
<p>Combinations between level and nature of uncertainty give place to 6 different types of uncertain...
The aggregation of the variables that compose an indicator, as GDP, which should be forecasted, is n...