WCRP LRFTIP lead-time dependent sub-seasonal/seasonal/decadal hindcast climatologies

WCRP LRFTIP lead-time dependent sub-seasonal/seasonal/decadal hindcast climatologies The purpose of the Long-Range Forecast Transient Intercomparison Project (LRFTIP) is to provide an archive of hindcast climatologies, describing the systematic behavior of models evolving from observation-based initial states, that can inform investigations into the transient behavior of initialized subseasonal to decadal climate predictions, the development of model biases, and the relative merits of different initialization methods. The archive is based on publicly available hindcast datasets including the Subseasonal to Seasonal Prediction Project (S2S), the Climate-system Historical Forecast Project (CHFP) and the Coupled Model Intercomparison Project Phase 5 (CMIP5) and 6 (CMIP6). ECCC models include the GEPS-based contribution to S2S, the CanCM3, CanCM4, CanCM4i and GEM-NEMO seasonal prediction models, and the CanCM4 CMIP5 and CanESM5 CMIP6 decadal prediction models. Additional contributions are being added as they become available. 2024-06-13 Environment and Climate Change Canada pitple-lrftip@ec.gc.ca Nature and EnvironmentClimateClimate model biases LRFTIP data archiveHTML https://crd-data-donnees-rdc.ec.gc.ca/CCCMA/products/LRFTIP/ LRFTIP data guidePDF https://crd-data-donnees-rdc.ec.gc.ca/CCCMA/products/LRFTIP/LRFTIP_Data_Specifications_current_version.pdf WCRP LRFTIP lead-time dependent climatologiesHTML https://data-donnees.ec.gc.ca/data/climate/products/wcrp-lrftip-lead-time-dependent-sub-seasonal-seasonal-decadal-hindcast-climatologies/?lang=en Digital Object Identifier (DOI)XML https://doi.org/10.18164/5dc6d3ae-8eb4-4292-b181-6a96104e63c5

The purpose of the Long-Range Forecast Transient Intercomparison Project (LRFTIP) is to provide an archive of hindcast climatologies, describing the systematic behavior of models evolving from observation-based initial states, that can inform investigations into the transient behavior of initialized subseasonal to decadal climate predictions, the development of model biases, and the relative merits of different initialization methods. The archive is based on publicly available hindcast datasets including the Subseasonal to Seasonal Prediction Project (S2S), the Climate-system Historical Forecast Project (CHFP) and the Coupled Model Intercomparison Project Phase 5 (CMIP5) and 6 (CMIP6). ECCC models include the GEPS-based contribution to S2S, the CanCM3, CanCM4, CanCM4i and GEM-NEMO seasonal prediction models, and the CanCM4 CMIP5 and CanESM5 CMIP6 decadal prediction models. Additional contributions are being added as they become available.

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