Articles | Volume 17, issue 17
https://doi.org/10.5194/gmd-17-6745-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-6745-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Measurement Error Proxy System Model: MEPSM v0.2
Environment Research & Technology Group, ANSTO, Lucas Heights, Australia
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Accurately quantifying how the global hydrological cycle will change in the future remains challenging due to the limited availability of historical climate data from the tropics. Here we present the CoralHydro2k database – a new compilation of peer-reviewed coral-based climate records from the last 2000 years. This paper details the records included in the database and where the database can be accessed and demonstrates how the database can investigate past tropical climate variability.
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Coral skeletal records from the Great Barrier Reef (GBR) provide vital data on climate and environmental change. Presented here is the Great Barrier Reef Coral Skeletal Records Database, an extensive compilation of GBR coral records. The database includes key metadata, primary data, and access instructions, and it enhances research on past, present, and future climate and environmental variability of the GBR. The database will assist with contextualising present-day threats to reefs globally.
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Accurately quantifying how the global hydrological cycle will change in the future remains challenging due to the limited availability of historical climate data from the tropics. Here we present the CoralHydro2k database – a new compilation of peer-reviewed coral-based climate records from the last 2000 years. This paper details the records included in the database and where the database can be accessed and demonstrates how the database can investigate past tropical climate variability.
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Short summary
In paleoclimate research, proxy system models (PSMs) model chemical or biological systems which receive environmental input and output (e.g., geochemical signals). The environmental inputs are rarely noiseless, which causes problems when calibrating multi-input PSMs. Here a PSM is developed which includes generalized noise in both model inputs and outputs and prior information. A quasi-Bayesian method enhances the stability of the solution of the Measurement Error Proxy System Model.
In paleoclimate research, proxy system models (PSMs) model chemical or biological systems which...