Simulation Testbed for Trend Detection and Attribution Methods
The field of detection and attribution has been growing for a couple of decades and has recently seen a increase in the quantity and sophistication of methods. The difficulty of comparing these methods has motivated the design of a simulation testbed. Such a testbed is difficult to develop as it involves generating spatiotemporal fields with complex and flexible covariance structures that do not inherently favor any of the methods to be tested. The following testbed has the ability to generate a wide class of isotropic and non-isotropic correlation matrices to simulate the climate variability. The forcing response fields are tunable, spatially correlated fields with adjustable signal-to-noise ratios. The flexibility of the simulation method allows us to replicate a variety of climate model-like output in a controlled setting. In addition to the methods used in the testbed, we present synthetic data for simulated climate scenarios and a user manual for the Matlab software package.
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http://n2t.net/ark:/85065/d7kd21vx
eng
geoscientificInformation
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publication
2016-01-01T00:00:00Z
EARTH SCIENCE > CLIMATE INDICATORS
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS
EARTH SCIENCE > HUMAN DIMENSIONS > GLOBAL CHANGE RESPONSES > SCENARIO PLANNING
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2021-09-17
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2018-12-17T00:00:00Z
Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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