trajectory data for the 59 mobile platforms deployed during EUREC4A

Data used in Forster et al Emissions changes in 2020 due to COVID-19 (Forster, 2020)

Data are differences in either kt per day or Mt per day (for CO2) compared to annual averaged baseline emissions. Rows are days in 2020. Columns are ISO_A3 abbreviations of countries. Last two columns are international aviation and shipping.  Two estimates are given: high and mid.  Based on Google mobility data and EDGAR datasets. Data projected from day 120 until Day 366.

Case studies of climate sensitivity with PMIP: Python statistical codes (Renoult et al., 2020)

These 4 codes can be run to estimate climate sensitivity by using the tropical temperature of the models participating in the Paleoclimate Modelling Intercomparison Project (PMIP) and simulating either the Last Glacial Maximum or the mid-Pliocene Warm Period. They link to Renoult et al. (in review), A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP.