Fig 1.
The Skjern river catchment in western Denmark.
a) Land use map with the four predominant land use classes, b) soil map with 19 soil units (legend not shown), c) MODIS derived Leaf Area Index (LAI) snapshot in July 2010 and d) average air temperature (Tair) on the same day based on interpolated climate station data from inside and outside of the catchment.
Table 1.
Overview of the six model scenarios investigated in this study.
Fig 2.
Two subjects, taken from the citizen science project: Simulated daily evapotranspiration maps at two days in 2008.
The center map originates from the baseline model and map 1 to 6 originate from scenario 1 to 6, respectively.
Table 2.
User statistics for the citizen science project Pattern Perception.
Data was obtained within 64 days after launch.
Fig 3.
The cumulative user statistics for the citizen science project: The number of users (in green) and the number of classifications (in blue), both given in thousands.
Table 3.
Two examples that correspond with Fig 2.
The most similar and dissimilar maps are classified by n users and the resulting pattern similarity score is calculated for each scenario.
Fig 4.
The ability of the human perception and metrics to differentiate between similar and dissimilar maps is investigated by means of the standard deviation of the six normalized pattern similarity scores at each of the 365 days per variable.
The median is represented by the red line, the box indicates the 25th and 75th percentiles and the whiskers state the 5th and 95th percentiles.
Fig 5.
Evaluating spatial patterns of LST for 2008.
The pattern similarity scores from the citizen science project are shown in the top panel. Panel two, three and four illustrate the pattern similarity scores for three selected performance metrics: EOF analysis, connectivity analysis of the high phase and FSS based on the high percentiles. Results are shown for three scenarios: Scenario 1 in blue (constant precipitation), scenario 2 in red (constant climate) and scenario 6 in green (constant vegetation).
Table 4.
The coefficient of determination (R2) between the human perception and the applied spatial performance metrics.
The analysis is based on the daily spatial similarity scores for 365 days in the three year period (2008–2010) for all six scenarios.
Fig 6.
The relative sensitivity is given for the human perception and for the set of applied metrics.
For each of the three variables, the sensitivity is linearly normalized relatively to the most sensitive scenario (1.0) and the least sensitive scenario (0.0).