The Experts below are selected from a list of 1077507 Experts worldwide ranked by ideXlab platform
Veronika Eyring - One of the best experts on this subject based on the ideXlab platform.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for emergent constraints and future projections from earth system Models in cmip
Geoscientific Model Development, 2020Co-Authors: Axel Lauer, Veronika Eyring, Omar Bellprat, Lisa Bock, Bettina K Gier, Alasdair Hunter, Ruth Lorenz, Nuria PerezzanonAbstract:Abstract. The Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for Evaluation and analysis of Earth system Models (ESMs) is designed to facilitate a more comprehensive and rapid comparison of single or multiple Models participating in the coupled Model intercomparison project (CMIP). The ESM results can be compared against observations or reanalysis data as well as against other Models including predecessor versions of the same Model. The updated and extended version 2.0 of the ESMValTool includes several new analysis scripts such as large-scale diagnostics for Evaluation of ESMs as well as diagnostics for extreme events, regional Model and impact Evaluation. In this paper, the newly implemented climate metrics such as effective climate sensitivity (ECS) and transient climate response (TCR) as well as emergent constraints for various climate-relevant feedbacks and diagnostics for future projections from ESMs are described and illustrated with examples using results from the well-established Model ensemble CMIP5. The emergent constraints implemented include ECS, snow-albedo effect, climate-carbon cycle feedback, hydrologic cycle intensification, future Indian summer monsoon precipitation, and year of disappearance of summer Arctic sea ice. The diagnostics included in ESMValTool v2.0 to analyze future climate projections from ESMs include analysis scripts to reproduce selected figures of chapter 12 of the Intergovernmental Panel on Climate Change’s (IPCC) Fifth Assessment report (AR5) and various multi-Model statistics.
-
Earth System Model Evaluation Tool (ESMValTool) v2.0-an extended set of large-scale diagnostics for quasi-operational and comprehensive Evaluation of Earth system Models in CMIP
Geoscientific Model Development, 2020Co-Authors: Veronika Eyring, Axel Lauer, Omar Bellprat, Lisa Bock, Mattia Righi, Manuel Schlund, Bouwe Andela, Enrico Arnone, Björn Brötz, Louis-philippe CaronAbstract:Abstract. The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool designed to improve comprehensive and routine Evaluation of Earth system Models (ESMs) participating in the Coupled Model Intercomparison Project (CMIP). It has undergone rapid development since the first release in 2016 and is now a well-tested tool that provides end-to-end provenance tracking to ensure reproducibility. It consists of (1) an easy-to-install, well-documented Python package providing the core functionalities (ESMValCore) that performs common preprocessing operations and (2) a diagnostic part that includes tailored diagnostics and performance metrics for specific scientific applications. Here we describe large-scale diagnostics of the second major release of the tool that supports the Evaluation of ESMs participating in CMIP Phase 6 (CMIP6). ESMValTool v2.0 includes a large collection of diagnostics and performance metrics for atmospheric, oceanic, and terrestrial variables for the mean state, trends, and variability. ESMValTool v2.0 also successfully reproduces figures from the Evaluation and projections chapters of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) and incorporates updates from targeted analysis packages, such as the NCAR Climate Variability Diagnostics Package for the Evaluation of modes of variability, the Thermodynamic Diagnostic Tool (TheDiaTo) to evaluate the energetics of the climate system, as well as parts of AutoAssess that contains a mix of top–down performance metrics. The tool has been fully integrated into the Earth System Grid Federation (ESGF) infrastructure at the Deutsches Klimarechenzentrum (DKRZ) to provide Evaluation results from CMIP6 Model simulations shortly after the output is published to the CMIP archive. A result browser has been implemented that enables advanced monitoring of the Evaluation results by a broad user community at much faster timescales than what was possible in CMIP5.
-
taking climate Model Evaluation to the next level
Nature Climate Change, 2019Co-Authors: Veronika Eyring, Peter M Cox, Gregory M Flato, Peter J Gleckler, Gab Abramowitz, Peter M Caldwell, William D Collins, Bettina K GierAbstract:Earth system Models are complex and represent a large number of processes, resulting in a persistent spread across climate projections for a given future scenario. Owing to different Model performances against observations and the lack of independence among Models, there is now evidence that giving equal weight to each available Model projection is suboptimal. This Perspective discusses newly developed tools that facilitate a more rapid and comprehensive Evaluation of Model simulations with observations, process-based emergent constraints that are a promising way to focus Evaluation on the observations most relevant to climate projections, and advanced methods for Model weighting. These approaches are needed to distil the most credible information on regional climate changes, impacts, and risks for stakeholders and policy-makers.
Bettina K Gier - One of the best experts on this subject based on the ideXlab platform.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for extreme events regional and impact Evaluation andanalysis of earth system Models in cmip
Geoscientific Model Development Discussions, 2020Co-Authors: Axel Lauer, Lisa Bock, Bettina K Gier, Katja Weigel, Mattia Righi, Manuel Schlund, Kemisola AdeniyiAbstract:Abstract. This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact assessment, regional Evaluations, and ensemble member selection. The diagnostics are developed by a large community of scientists aiming to facilitate the Evaluation and comparison of Earth System Models (ESMs) which are participating in the Coupled Model Intercomparison Project (CMIP). The second release of this tool aims to support the Evaluation of ESMs participating in CMIP Phase 6 (CMIP6). Furthermore, data sets from other Models and observations can be analysed. The diagnostics for the hydrological cycle include several precipitation and drought indices, as well as hydroclimatic intensity and indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). The latter are also used for identification of extreme events and for impact assessment, and to project and characterize the risks and impacts of climate change for natural and socio-economic systems. Further impact assessment diagnostics are included to compute daily temperature ranges and capacity factors for wind and solar energy generation. Regional scales can be analysed with new diagnostics implemented for selected regions and stochastic downscaling. ESMValTool v2.0 also includes diagnostics to analyse large multi-Model ensembles including grouping and selecting ensemble members by user specified criteria. Here, we present examples for their capabilities based on the well-established CMIP Phase 5 (CMIP5) data set.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for emergent constraints and future projections from earth system Models in cmip
Geoscientific Model Development, 2020Co-Authors: Axel Lauer, Veronika Eyring, Omar Bellprat, Lisa Bock, Bettina K Gier, Alasdair Hunter, Ruth Lorenz, Nuria PerezzanonAbstract:Abstract. The Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for Evaluation and analysis of Earth system Models (ESMs) is designed to facilitate a more comprehensive and rapid comparison of single or multiple Models participating in the coupled Model intercomparison project (CMIP). The ESM results can be compared against observations or reanalysis data as well as against other Models including predecessor versions of the same Model. The updated and extended version 2.0 of the ESMValTool includes several new analysis scripts such as large-scale diagnostics for Evaluation of ESMs as well as diagnostics for extreme events, regional Model and impact Evaluation. In this paper, the newly implemented climate metrics such as effective climate sensitivity (ECS) and transient climate response (TCR) as well as emergent constraints for various climate-relevant feedbacks and diagnostics for future projections from ESMs are described and illustrated with examples using results from the well-established Model ensemble CMIP5. The emergent constraints implemented include ECS, snow-albedo effect, climate-carbon cycle feedback, hydrologic cycle intensification, future Indian summer monsoon precipitation, and year of disappearance of summer Arctic sea ice. The diagnostics included in ESMValTool v2.0 to analyze future climate projections from ESMs include analysis scripts to reproduce selected figures of chapter 12 of the Intergovernmental Panel on Climate Change’s (IPCC) Fifth Assessment report (AR5) and various multi-Model statistics.
-
taking climate Model Evaluation to the next level
Nature Climate Change, 2019Co-Authors: Veronika Eyring, Peter M Cox, Gregory M Flato, Peter J Gleckler, Gab Abramowitz, Peter M Caldwell, William D Collins, Bettina K GierAbstract:Earth system Models are complex and represent a large number of processes, resulting in a persistent spread across climate projections for a given future scenario. Owing to different Model performances against observations and the lack of independence among Models, there is now evidence that giving equal weight to each available Model projection is suboptimal. This Perspective discusses newly developed tools that facilitate a more rapid and comprehensive Evaluation of Model simulations with observations, process-based emergent constraints that are a promising way to focus Evaluation on the observations most relevant to climate projections, and advanced methods for Model weighting. These approaches are needed to distil the most credible information on regional climate changes, impacts, and risks for stakeholders and policy-makers.
Kemisola Adeniyi - One of the best experts on this subject based on the ideXlab platform.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for extreme events regional and impact Evaluation andanalysis of earth system Models in cmip
Geoscientific Model Development Discussions, 2020Co-Authors: Axel Lauer, Lisa Bock, Bettina K Gier, Katja Weigel, Mattia Righi, Manuel Schlund, Kemisola AdeniyiAbstract:Abstract. This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact assessment, regional Evaluations, and ensemble member selection. The diagnostics are developed by a large community of scientists aiming to facilitate the Evaluation and comparison of Earth System Models (ESMs) which are participating in the Coupled Model Intercomparison Project (CMIP). The second release of this tool aims to support the Evaluation of ESMs participating in CMIP Phase 6 (CMIP6). Furthermore, data sets from other Models and observations can be analysed. The diagnostics for the hydrological cycle include several precipitation and drought indices, as well as hydroclimatic intensity and indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). The latter are also used for identification of extreme events and for impact assessment, and to project and characterize the risks and impacts of climate change for natural and socio-economic systems. Further impact assessment diagnostics are included to compute daily temperature ranges and capacity factors for wind and solar energy generation. Regional scales can be analysed with new diagnostics implemented for selected regions and stochastic downscaling. ESMValTool v2.0 also includes diagnostics to analyse large multi-Model ensembles including grouping and selecting ensemble members by user specified criteria. Here, we present examples for their capabilities based on the well-established CMIP Phase 5 (CMIP5) data set.
Axel Lauer - One of the best experts on this subject based on the ideXlab platform.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for extreme events regional and impact Evaluation andanalysis of earth system Models in cmip
Geoscientific Model Development Discussions, 2020Co-Authors: Axel Lauer, Lisa Bock, Bettina K Gier, Katja Weigel, Mattia Righi, Manuel Schlund, Kemisola AdeniyiAbstract:Abstract. This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact assessment, regional Evaluations, and ensemble member selection. The diagnostics are developed by a large community of scientists aiming to facilitate the Evaluation and comparison of Earth System Models (ESMs) which are participating in the Coupled Model Intercomparison Project (CMIP). The second release of this tool aims to support the Evaluation of ESMs participating in CMIP Phase 6 (CMIP6). Furthermore, data sets from other Models and observations can be analysed. The diagnostics for the hydrological cycle include several precipitation and drought indices, as well as hydroclimatic intensity and indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). The latter are also used for identification of extreme events and for impact assessment, and to project and characterize the risks and impacts of climate change for natural and socio-economic systems. Further impact assessment diagnostics are included to compute daily temperature ranges and capacity factors for wind and solar energy generation. Regional scales can be analysed with new diagnostics implemented for selected regions and stochastic downscaling. ESMValTool v2.0 also includes diagnostics to analyse large multi-Model ensembles including grouping and selecting ensemble members by user specified criteria. Here, we present examples for their capabilities based on the well-established CMIP Phase 5 (CMIP5) data set.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for emergent constraints and future projections from earth system Models in cmip
Geoscientific Model Development, 2020Co-Authors: Axel Lauer, Veronika Eyring, Omar Bellprat, Lisa Bock, Bettina K Gier, Alasdair Hunter, Ruth Lorenz, Nuria PerezzanonAbstract:Abstract. The Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for Evaluation and analysis of Earth system Models (ESMs) is designed to facilitate a more comprehensive and rapid comparison of single or multiple Models participating in the coupled Model intercomparison project (CMIP). The ESM results can be compared against observations or reanalysis data as well as against other Models including predecessor versions of the same Model. The updated and extended version 2.0 of the ESMValTool includes several new analysis scripts such as large-scale diagnostics for Evaluation of ESMs as well as diagnostics for extreme events, regional Model and impact Evaluation. In this paper, the newly implemented climate metrics such as effective climate sensitivity (ECS) and transient climate response (TCR) as well as emergent constraints for various climate-relevant feedbacks and diagnostics for future projections from ESMs are described and illustrated with examples using results from the well-established Model ensemble CMIP5. The emergent constraints implemented include ECS, snow-albedo effect, climate-carbon cycle feedback, hydrologic cycle intensification, future Indian summer monsoon precipitation, and year of disappearance of summer Arctic sea ice. The diagnostics included in ESMValTool v2.0 to analyze future climate projections from ESMs include analysis scripts to reproduce selected figures of chapter 12 of the Intergovernmental Panel on Climate Change’s (IPCC) Fifth Assessment report (AR5) and various multi-Model statistics.
-
Earth System Model Evaluation Tool (ESMValTool) v2.0-an extended set of large-scale diagnostics for quasi-operational and comprehensive Evaluation of Earth system Models in CMIP
Geoscientific Model Development, 2020Co-Authors: Veronika Eyring, Axel Lauer, Omar Bellprat, Lisa Bock, Mattia Righi, Manuel Schlund, Bouwe Andela, Enrico Arnone, Björn Brötz, Louis-philippe CaronAbstract:Abstract. The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool designed to improve comprehensive and routine Evaluation of Earth system Models (ESMs) participating in the Coupled Model Intercomparison Project (CMIP). It has undergone rapid development since the first release in 2016 and is now a well-tested tool that provides end-to-end provenance tracking to ensure reproducibility. It consists of (1) an easy-to-install, well-documented Python package providing the core functionalities (ESMValCore) that performs common preprocessing operations and (2) a diagnostic part that includes tailored diagnostics and performance metrics for specific scientific applications. Here we describe large-scale diagnostics of the second major release of the tool that supports the Evaluation of ESMs participating in CMIP Phase 6 (CMIP6). ESMValTool v2.0 includes a large collection of diagnostics and performance metrics for atmospheric, oceanic, and terrestrial variables for the mean state, trends, and variability. ESMValTool v2.0 also successfully reproduces figures from the Evaluation and projections chapters of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) and incorporates updates from targeted analysis packages, such as the NCAR Climate Variability Diagnostics Package for the Evaluation of modes of variability, the Thermodynamic Diagnostic Tool (TheDiaTo) to evaluate the energetics of the climate system, as well as parts of AutoAssess that contains a mix of top–down performance metrics. The tool has been fully integrated into the Earth System Grid Federation (ESGF) infrastructure at the Deutsches Klimarechenzentrum (DKRZ) to provide Evaluation results from CMIP6 Model simulations shortly after the output is published to the CMIP archive. A result browser has been implemented that enables advanced monitoring of the Evaluation results by a broad user community at much faster timescales than what was possible in CMIP5.
Lisa Bock - One of the best experts on this subject based on the ideXlab platform.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for extreme events regional and impact Evaluation andanalysis of earth system Models in cmip
Geoscientific Model Development Discussions, 2020Co-Authors: Axel Lauer, Lisa Bock, Bettina K Gier, Katja Weigel, Mattia Righi, Manuel Schlund, Kemisola AdeniyiAbstract:Abstract. This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact assessment, regional Evaluations, and ensemble member selection. The diagnostics are developed by a large community of scientists aiming to facilitate the Evaluation and comparison of Earth System Models (ESMs) which are participating in the Coupled Model Intercomparison Project (CMIP). The second release of this tool aims to support the Evaluation of ESMs participating in CMIP Phase 6 (CMIP6). Furthermore, data sets from other Models and observations can be analysed. The diagnostics for the hydrological cycle include several precipitation and drought indices, as well as hydroclimatic intensity and indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). The latter are also used for identification of extreme events and for impact assessment, and to project and characterize the risks and impacts of climate change for natural and socio-economic systems. Further impact assessment diagnostics are included to compute daily temperature ranges and capacity factors for wind and solar energy generation. Regional scales can be analysed with new diagnostics implemented for selected regions and stochastic downscaling. ESMValTool v2.0 also includes diagnostics to analyse large multi-Model ensembles including grouping and selecting ensemble members by user specified criteria. Here, we present examples for their capabilities based on the well-established CMIP Phase 5 (CMIP5) data set.
-
earth system Model Evaluation tool esmvaltool v2 0 diagnostics for emergent constraints and future projections from earth system Models in cmip
Geoscientific Model Development, 2020Co-Authors: Axel Lauer, Veronika Eyring, Omar Bellprat, Lisa Bock, Bettina K Gier, Alasdair Hunter, Ruth Lorenz, Nuria PerezzanonAbstract:Abstract. The Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for Evaluation and analysis of Earth system Models (ESMs) is designed to facilitate a more comprehensive and rapid comparison of single or multiple Models participating in the coupled Model intercomparison project (CMIP). The ESM results can be compared against observations or reanalysis data as well as against other Models including predecessor versions of the same Model. The updated and extended version 2.0 of the ESMValTool includes several new analysis scripts such as large-scale diagnostics for Evaluation of ESMs as well as diagnostics for extreme events, regional Model and impact Evaluation. In this paper, the newly implemented climate metrics such as effective climate sensitivity (ECS) and transient climate response (TCR) as well as emergent constraints for various climate-relevant feedbacks and diagnostics for future projections from ESMs are described and illustrated with examples using results from the well-established Model ensemble CMIP5. The emergent constraints implemented include ECS, snow-albedo effect, climate-carbon cycle feedback, hydrologic cycle intensification, future Indian summer monsoon precipitation, and year of disappearance of summer Arctic sea ice. The diagnostics included in ESMValTool v2.0 to analyze future climate projections from ESMs include analysis scripts to reproduce selected figures of chapter 12 of the Intergovernmental Panel on Climate Change’s (IPCC) Fifth Assessment report (AR5) and various multi-Model statistics.
-
Earth System Model Evaluation Tool (ESMValTool) v2.0-an extended set of large-scale diagnostics for quasi-operational and comprehensive Evaluation of Earth system Models in CMIP
Geoscientific Model Development, 2020Co-Authors: Veronika Eyring, Axel Lauer, Omar Bellprat, Lisa Bock, Mattia Righi, Manuel Schlund, Bouwe Andela, Enrico Arnone, Björn Brötz, Louis-philippe CaronAbstract:Abstract. The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool designed to improve comprehensive and routine Evaluation of Earth system Models (ESMs) participating in the Coupled Model Intercomparison Project (CMIP). It has undergone rapid development since the first release in 2016 and is now a well-tested tool that provides end-to-end provenance tracking to ensure reproducibility. It consists of (1) an easy-to-install, well-documented Python package providing the core functionalities (ESMValCore) that performs common preprocessing operations and (2) a diagnostic part that includes tailored diagnostics and performance metrics for specific scientific applications. Here we describe large-scale diagnostics of the second major release of the tool that supports the Evaluation of ESMs participating in CMIP Phase 6 (CMIP6). ESMValTool v2.0 includes a large collection of diagnostics and performance metrics for atmospheric, oceanic, and terrestrial variables for the mean state, trends, and variability. ESMValTool v2.0 also successfully reproduces figures from the Evaluation and projections chapters of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) and incorporates updates from targeted analysis packages, such as the NCAR Climate Variability Diagnostics Package for the Evaluation of modes of variability, the Thermodynamic Diagnostic Tool (TheDiaTo) to evaluate the energetics of the climate system, as well as parts of AutoAssess that contains a mix of top–down performance metrics. The tool has been fully integrated into the Earth System Grid Federation (ESGF) infrastructure at the Deutsches Klimarechenzentrum (DKRZ) to provide Evaluation results from CMIP6 Model simulations shortly after the output is published to the CMIP archive. A result browser has been implemented that enables advanced monitoring of the Evaluation results by a broad user community at much faster timescales than what was possible in CMIP5.