opportunities record: dafc73a1-8c95-11ef-944e-41a8eb05f654 (v1.2)

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Category Description

These are the intended use-case/justification for one or multiple variable groups. Opportunities are linked to relevant experiment groups. Identifying opportunities helps to provide a structure to map variables against requirements. Each opportunity description will convey why this combination of variables and experiments is important and how they contribute to impact.



AttributeValue
descriptionThis opportunity request variables that are critical to the pipeline of bias-adjustment and downscaling for impacts model assessment. It includes several outputs groups requested by the Inter-Sectoral Impacts Model Intercomparison Project (ISIMIP) and variables for the Climatologies at High-resolution for the Earth’s Land Surface (CHELSA) project. Daily outputs are needed for the climate impact simulations according to the ISIMIP protocol. 3-hourly outputs are needed especially by some regional models that operate at the respective temporal resolution. Deposition variables are useful for ecosystems, agriculture, and water resources analyses. CHELSA uses mechanistical statistical downscaling of global circulation model output to provide such high-resolution climatologies that serve a broad array of impact sectors, for example within ISIMIP.
desirable_ensemble_size5
expected_impactsFacilitating the production of bias-adjusted and higher-resolution climate data will allow driving input data for many fine-scale impact models. ISIMIP’s bias-adjustment approach provides inputs to a prominent community of modelers producing high-profile impact sector projections that are widely cited in publications and assessments such as the IPCC. ISIMIP organization helps consolidate outputs that are of use for multiple impacts and adaptation applications, and their bias-adjusted and spatially disaggregated outputs are of wide use even beyond their formal simulation phases. Requested variable sets also allow for the production of CHELSA high-resolution climatologies, which are of wide use within ISIMIP and beyond.
justification_of_resourcesOutputs enable a vital pipeline for sectoral applications by allowing bias-adjustment and drivers for a large number of impacts sector models (agriculture, water resources, ecosystems, fisheries, health, energy). So far, they disaggregate daily data on their own which is a major source of bias in the respective impact simulations. The data would enable consistency between impact simulations at sub-daily (so far mostly regional) and daily scales. ISIMIP has an established community of modelers and coordinates simulations across multiple sectors so that results may be coherently connected for cross-sectoral implications. High resolution bias-adjustment is of particular use for ecosystem impacts in complex terrain such as mountains coastlines.
lead_themeImpacts & Adaptation
minimum_ensemble_size1
nameBias-adjustment for impacts modeling and analysis
opportunity_id77
technical_notesEnsemble size: minimum = 1, desirable = 5

Data Request Information

data_request_themesImpacts & Adaptation
experiment_groupsdcpp, damip_experiment_group, deck, scenarios, historical
mipsISIMIP, DCPP
time_subsets80ac3156-a698-11ef-914a-613c0433d878
variable_groupsCHELSA_land_daily, ISIMIP_deposition_variables, ISIMIP3hourlyAtmos, ISIMIPMinimalAtmos

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