The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC.

The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al.,2000 and Pope et al.,2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3 (http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ). The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.

The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC. HadCM3_SRES_A2b and HadCM3_SRES_A2c follow the same experimental design and historical plus future forcings as HadCM3_SRES_A2 (Johns et al. 2003) but starting from initial conditions taken respectively 100 years and 200 years further into the HadCM3 control simulation.

The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC. HadCM3_SRES_A2b and HadCM3_SRES_A2c follow the same experimental design and historical plus future forcings as HadCM3_SRES_A2 (Johns et al. 2003) but starting from initial conditions taken respectively 100 years and 200 years further into the HadCM3 control simulation.

The dataset ‘Heat stored in the Earth system: Where does the energy go?’ contains a consistent long-term Earth system heat gain over the past 58 years. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. This Earth Energy Imbalance (EEI) is a fundamental metric of climate change. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory, and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018.

‘Heat stored in the Earth system: Where does the energy go?’ contains a consistent long-term Earth system heat inventory over the period 1960-2018. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. This Earth Energy Imbalance (EEI) is the most critical number defining the prospects for continued global warming and climate change. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory, and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Changes in version 2: a) uncertainties have been added and updated in the netcdf file b) Ocean heat content > 2000m depth: update of one time series, and thus revised ensemble mean c) Atmospheric heat content: update of the time series as received by experts on the 29/05/2020 d) Available heat cyropshere: update of the time series as received by experts on the 27/05/2020. e) some attributes have been added for more details.