This paper provides an update to an international research activity whose objective is to facilitate access to satellite and other types of regional and global datasets for evaluating global models used to produce 21st century climate projections. https://doi.org/10.5194/acp-15-12397-2015. Landon A. Rieger, Jason N. S. Cole, John C. Fyfe, Stephen Po-Chedley, Philip J. Cameron-Smith, Paul J. Durack, Nathan P. Gillett, and Qi Tang. https://doi.org/10.5194/gmd-13-4305-2020. Abstract. ; CESM is a fully-coupled, community, global climate model that provides … https://doi.org/10.5194/gmd-13-4183-2020. The following scripts are included along with the sample applications package: samples/ prepare_classification_test_video.sh: Downloads Imagenet test images and creates a video out of it to test with Classification models like Tensorflow Inception, ONNX DenseNet etc. Crop model emulators make agricultural simulations more accessible to policy or decision makers. https://doi.org/10.5194/gmd-13-3607-2020. Some of the changes are modifications to existing files (scripts, xml-files, F90-files), some code changes are made by copying original files in a different directory and modifying them, and … A large portion of the RH bias results from the discrepancy in water vapor. Hunter, F. J. Bragg, C. Contoux, C. Stepanek, L. Sohl, N. A. Rosenbloom, W.-L. Chan, Y. Kamae, Z. Zhang, A. Abe-Ouchi, M. A. Chandler, A. Jost, G. Lohmann, B. L. Otto-Bliesner, G. Ramstein, and H. Ueda, A. Gettelman, H. Morrison, C. R. Terai, and R. Wood, R. Zhang, Q. Yan, Z. S. Zhang, D. Jiang, B. L. Otto-Bliesner, A. M. Haywood, D. J. Hill, A. M. Dolan, C. Stepanek, G. Lohmann, C. Contoux, F. Bragg, W.-L. Chan, M. A. Chandler, A. Jost, Y. Kamae, A. Abe-Ouchi, G. Ramstein, N. A. Rosenbloom, L. Sohl, and H. Ueda, Z.-S. Zhang, K. H. Nisancioglu, M. A. Chandler, A. M. Haywood, B. L. Otto-Bliesner, G. Ramstein, C. Stepanek, A. Abe-Ouchi, W.-L. Chan, F. J. Bragg, C. Contoux, A. M. Dolan, D. J. Hill, A. Jost, Y. Kamae, G. Lohmann, D. J. Lunt, N. A. Rosenbloom, L. E. Sohl, and H. Ueda, Y. Xu, D. Zaelke, G. J. M. Velders, and V. Ramanathan, N. A. Rosenbloom, B. L. Otto-Bliesner, E. C. Brady, and P. J. Lawrence, A. M. Haywood, D. J. Hill, A. M. Dolan, B. L. Otto-Bliesner, F. Bragg, W.-L. Chan, M. A. Chandler, C. Contoux, H. J. Dowsett, A. Jost, Y. Kamae, G. Lohmann, D. J. Lunt, A. Abe-Ouchi, S. J. Pickering, G. Ramstein, N. A. Rosenbloom, U. Salzmann, L. Sohl, C. Stepanek, H. Ueda, Q. Yan, and Z. Zhang, Øyvind Seland, Mats Bentsen, Dirk Olivié, Thomas Toniazzo, Ada Gjermundsen, Lise Seland Graff, Jens Boldingh Debernard, Alok Kumar Gupta, Yan-Chun He, Alf Kirkevåg, Jörg Schwinger, Jerry Tjiputra, Kjetil Schanke Aas, Ingo Bethke, Yuanchao Fan, Jan Griesfeller, Alf Grini, Chuncheng Guo, Mehmet Ilicak, Inger Helene Hafsahl Karset, Oskar Landgren, Johan Liakka, Kine Onsum Moseid, Aleksi Nummelin, Clemens Spensberger, Hui Tang, Zhongshi Zhang, Christoph Heinze, Trond Iversen, and Michael Schulz. Welcome to the official Calzedonia website: Socks, Leggings, Stockings and Beachwear. Example simulations reveal characteristics of different routing options on air traffic performances. The main reason for the higher sensitivity in the EC-Earth model is the improved representation of the aerosol–radiation and aerosol–cloud interactions. We also quantify the discrepancies in each model. Edward Gryspeerdt, Johannes Mülmenstädt, Andrew Gettelman, Florent F. Malavelle, Hugh Morrison, David Neubauer, Daniel G. Partridge, Philip Stier, Toshihiko Takemura, Hailong Wang, Minghuai Wang, and Kai Zhang. Convective precipitation rate (liq + ice), Large-scale (stable) precipitation rate (liq + ice), Large-scale (stable) snow rate (water equivalent), Perturbation specific humidity (eddies in PBL), Merged SW heating: QRS+QCP+QRS_EUV+QRS_CO2NIR+QRS_AUR+QTHERMAL, Total grid-box cloud water path (liquid and ice), Total (vertically integrated) precipitable water, Minimum surface temperature over output period, Maximum surface temperature over output period, U tendency - orographic gravity wave drag, Meridional Flux of Zonal Momentum: 3D zon. Y. K. Xiao, Z. M. Ji, C. S. Fu, W. T. Du, J. H. Yang, and W. J. Dong. cos coeff. This paper compares results of developmental versions of a widely used climate model. https://doi.org/10.5194/acp-20-13835-2020. We now apply an online calculation of wind-driven dust emissions. Example: Default History Fields and Master Field Lists¶ CAM is set up by default to output a set of fields to a single monthly average history file. https://doi.org/10.5194/gmd-13-5367-2020. Four different future emission scenarios of the same flight tracks are considered. Discover our collections for Women, Men and Children. Regimes with strong large-scale ascent are shown to be as important as stratocumulus regimes in studying AIE. Pinatubo volcanic forcing for the CMIP6 historical experiment, MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change, Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 2: Sensitivity analysis and model calibration, Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 1: Implementation and model behaviour, RadNet 1.0: exploring deep learning architectures for longwave radiative transfer, Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0), Modelling mineral dust emissions and atmospheric dispersion with MADE3 in EMAC v2.54, Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10), Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP, Evaluating the land-surface energy partitioning in ERA5, Robust Ecosystem Demography (RED version 1.0): a parsimonious approach to modelling vegetation dynamics in Earth system models, The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO, Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia, Taiwan Earth System Model Version 1: description and evaluation of mean state, Evaluating simulated climate patterns from the CMIP archives using satellite and reanalysis datasets using the Climate Model Assessment Tool (CMATv1), An offline framework for high-dimensional ensemble Kalman filters to reduce the time to solution, The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500, CLIMADA v1.4.1: Towards a globally consistent adaptation options appraisal tool, HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation, Numerical study of the seasonal thermal and gas regimes of the largest artificial reservoir in western Europe using the LAKE 2.0 model, On the increased climate sensitivity in the EC-Earth model from CMIP5 to CMIP6, 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, Development of the Community Water Model (CWatM v1.04) – a high-resolution hydrological model for global and regional assessment of integrated water resources management, WRF-GC (v1.0): online coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.2.1) for regional atmospheric chemistry modeling – Part 1: Description of the one-way model, The Sailor diagram – A new diagram for the verification of two-dimensional vector data from multiple models, Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2, The interactive global fire module pyrE (v1.0), IPSL-CM5A2 – an Earth system model designed for multi-millennial climate simulations, Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6, GTS v1.0: A Macrophysics Scheme for Climate Models Based on a Probability Density Function, Coordinating an operational data distribution network for CMIP6 data, Methane chemistry in a nutshell – The new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0), Spin-up Characteristics with Three Types of Initial Fields and the Restart Effects on the Forecast Accuracy in GRAPES Global Forecast System. We perform an evaluation for daily precipitation distribution in PRIMAVERA GCMs (25–50 km resolution) and CORDEX RCMs (12–50 km resolution) over Europe. Now that global climate models (GCMs) can run at similar resolutions to regional climate models (RCMs), one may wonder whether GCMs and RCMs provide similar regional climate information. Christof G. Beer, Johannes Hendricks, Mattia Righi, Bernd Heinold, Ina Tegen, Silke Groß, Daniel Sauer, Adrian Walser, and Bernadett Weinzierl. This work presents a new bias-correction method for precipitation that considers orographic characteristics, which can be used in studies where the latter strongly changes. Marie-Estelle Demory, Ségolène Berthou, Jesús Fernández, Silje L. Sørland, Roman Brogli, Malcolm J. Roberts, Urs Beyerle, Jon Seddon, Rein Haarsma, Christoph Schär, Erasmo Buonomo, Ole B. Christensen, James M. Ciarlo ̀, Rowan Fealy, Grigory Nikulin, Daniele Peano, Dian Putrasahan, Christopher D. Roberts, Retish Senan, Christian Steger, Claas Teichmann, and Robert Vautard. Some challenges ahead for CAM and atmospheric modeling. Ruth Petrie, Sébastien Denvil, Sasha Ames, Guillaume Levavasseur, Sandro Fiore, Chris Allen, Fabrizio Antonio, KatharinaPier Berger, Pierre-Antoine Bretonnière, Luca Cinquini, Eli Dart, Prashanth Dwarakanath, Kelsey Druken, Ben Evans, Laurent Franchistéguy, Sébastien Gardoll, Eric Gerbier, Mark Greenslade, David Hassell, Alan Iwi, Martin Juckes, Stephan Kindermann, Lukasz Lacinski, Maria Mirto, Atef Ben Nasser, Paola Nassisi, Eric Nienhouse, Sergey Nikonov, Alessandra Nuzzo, Clare Richards, Syazwan Ridzwan, Michel Rixen, Kim Serradell, Kate Snow, Ag Stephens, Martina Stockhause, Hans Vahlenkamp, and Rick Wagner. Our coupling structure allows future versions of either parent model to be immediately integrated into WRF-GC. HighResMIP is an international coordinated CMIP6 effort to investigate the improvement in climate modeling caused by an increase in horizontal resolution. Severe local storm (SLS) activity is known to occur within specific thermodynamic and kinematic environments. ... CAM5 and CAM6 gene promoter regions in DCIS CAF2cy. Weaker correlations are seen between sea ice extent and temperatures in the pre-industrial era compared to the mid-Pliocene. There is a much larger set of available fields, known as the “master field list,” from which the user can choose fields of interest to add to the history file via namelist settings. Under the four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), the warming in the period of 2090–2099 compared to 1850–1879 reaches 1.3, 2.2, 3.1, and 3.9 K. Wieke Heldens, Cornelia Burmeister, Farah Kanani-Sühring, Björn Maronga, Dirk Pavlik, Matthias Sühring, Julian Zeidler, and Thomas Esch. Hunter, D. J. Hill, A. M. Haywood, S. J. Koenig, B. L. Otto-Bliesner, A. Abe-Ouchi, F. Bragg, W.-L. Chan, M. A. Chandler, C. Contoux, A. Jost, Y. Kamae, G. Lohmann, D. J. Lunt, G. Ramstein, N. A. Rosenbloom, L. Sohl, C. Stepanek, H. Ueda, Q. Yan, and Z. Zhang. With the prognostic treatment of precipitation processes (which is missing in CAM5) and the new microphysics module, CAM6 is able to better simulate climatological mean and extreme precipitation over Asia. In this paper, we evaluate the newest version of the University of Victoria Earth System Climate Model (UVic ESCM 2.10). Miguel Nogueira, Clément Albergel, Souhail Boussetta, Frederico Johannsen, Isabel F. Trigo, Sofia L. Ermida, João P. A. Martins, and Emanuel Dutra. The fidelity of climate model simulations included in the WCRP Coupled Model Intercomparison Project Versions 3 through 6 is evaluated using best estimates of fields considered by the community to be critical for climate change projections. Simulations of pre-industrial and mid-Pliocene Arctic sea ice by eight GCMs are analysed. Here, we demonstrate that this physics option has the ability to produce credible coupled climate simulations, with improved metrics in certain fields. We use CESM2 (WACCM6) [Gettelman et al., 2019] under an SSP5-8.5 scenario to generate global wind fields at 72 levels 110 for 18.75 years of simulation. Precipitation extremes become heavier with higher resolution, especially over mountains, wind extremes become somewhat stronger, and for temperature extremes warm biases are reduced over mountains. The spin-up in GRAPES_GFS under different initial fields goes through the dramatic adjustment in the first half hour of integration and the slow dynamic and thermal adjustments afterwards. Fergus W. Howell, Alan M. Haywood, Bette L. Otto-Bliesner, Fran Bragg, Wing-Le Chan, Mark A. Chandler, Camille Contoux, Youichi Kamae, Ayako Abe-Ouchi, Nan A. Rosenbloom, Christian Stepanek, and Zhongshi Zhang. The model underestimates the observed number concentration and ice water content. Data assimilation combines observations with numerical models to get an improved estimate of the model state. Differences with resolution for the global model appear to come from downscaling effects rather than improved large-scale circulation. Climate change is a fact and adaptation a necessity. In the S12 case, cloud cover remains at near 100% in CAM6 and CAM5 with an increase in LWP but from a different mean state between CAM6 and CAM5 (higher LWP in CAM6). A. M. Dolan, S. J. Rein Haarsma, Mario Acosta, Rena Bakhshi, Pierre-Antoine Bretonnière, Louis-Philippe Caron, Miguel Castrillo, Susanna Corti, Paolo Davini, Eleftheria Exarchou, Federico Fabiano, Uwe Fladrich, Ramon Fuentes Franco, Javier García-Serrano, Jost von Hardenberg, Torben Koenigk, Xavier Levine, Virna Loana Meccia, Twan van Noije, Gijs van den Oord, Froila M. Palmeiro, Mario Rodrigo, Yohan Ruprich-Robert, Philippe Le Sager, Etienne Tourigny, Shiyu Wang, Michiel van Weele, and Klaus Wyser. The resulting forest cover, vegetation carbon, and emissions from land use and land cover change are simulated and evaluated against remote sensing data and other studies. This paper documents a tool that has been developed that can be used to accelerate the development and understanding of climate models. Prognostic droplet effective radius (indirect effect), Energy correction for over-all conservation, Q tendency - Evaporation from Hack convection, Q tendency - Evaporation from Zhang-McFarlane moist convection, T tendency - Evaporation/snow prod from Hack convection, T tendency - Evaporation/snow prod from Zhang convection, T tendency - Snow to rain prod from Hack convection, T tendency - Snow to rain prod from Zhang convection, Relative importance of rain accreting liquid, Fractional occurance of shallow convection, Relative importance of snow accreting ice, Relative importance of snow accreting liquid, Relative importance of ice autoconversion, Net near-infrared flux (Nimbus-7 WFOV) at top of atmosphere, Clearsky net near-infrared flux (Nimbus-7 WFOV) at top of atmosphere, Net near-infrared flux (>= 0.7 microns) at top of atmosphere, Zonal wind forcing term on staggered grid, Meridional wind forcing term on staggered grid, Relative importance of liquid autoconversion, T tendency - Rain to snow conversion from Hack convection, T tendency - Rain to snow conversion from Zhang convection, geopotential height above surface at interfaces (m), Heating from evaporation of falling precip, Heating by ice and evaporation in HK convection, Net precipitation production from HK convection, Heating rate needed for d(theta)/dt computation, Heating from cloud ice/liquid repartitioning, In-cloud cloud total water path (liquid and ice), Vertical diffusion diffusivities (heat/moisture), Vertical diffusion diffusivities (momentum), Vertical diffusion kinematic molecular conductivity, ls stratiform gbm interface rain+snow flux, vertically intergrated external forcing for NO, Vertical velocity at 500 mbar pressure surface, Vertical velocity at 850 mbar pressure surface, Convective precipitation rate from ZM deep, Average large-scale precipitation (liq + ice), Average convective precipitation (liq + ice), Total (convective and large-scale) precipitation rate (liq + ice), Maximum (convective and large-scale) precipitation rate (liq+ice), Rate of conversion of condensate to precip, T-tendency due to BAB kluge at end of tphysac (diagnostic not part of T-budget), Specific Humidity at 1000 mbar pressure surface, Specific Humidity at 700 mbar pressure surface, Specific Humidity at 850 mbar pressure surface, Specific Humidity at 925 mbar pressure surface, Specific humidity (after physics), Lowest model level water vapor mixing ratio, Specific humidity (before physics), Q tendency - shallow convection LW export, O2 + hv -> 2*O3P solar heating rate > 200nm, O3 + hv -> O1D + O2_1S solar heating rate > 200nm, O3 + hv -> O3P + O2 solar heating rate > 200nm, Total heating rate (unmerged with tropospheric RT heating), O2 + hv -> O1D + O3P solar heating rate < 200nm, O2 + hv -> O3P + O3P solar heating rate < 200nm, O3 + hv -> O1D + O2_1S solar heating rate < 200nm, O3 + hv -> O3P + O2 solar heating rate < 200nm, Cloud ice tendency from cloud ice/liquid repartitioning, Cloud liq tendency from cloud ice/liquid repartitioning, Relative humidity with respect to water above 273 K, ice below 273 K, Detrained liquid water from shallow convection, Solar downward near infrared direct to surface, Solar downward near infrared diffuse to surface, Solar downward visible direct to surface, Solar downward visible diffuse to surface, Temperature at 1000 mbar pressure surface, Zonal turbulent mountain surface stress, Meridional turbulent mountain surface stress, T fixer (T equivalent of Energy correction), Minimum reference height temperature over output period, Maximum reference height temperature over output period, t tendency - gw spec: kinetic energy conversion term, Meridional wind at 200 mbar pressure surface, Meridional wind at 250 mbar pressure surface, Meridional wind at 850 mbar pressure surface, Meridional transport of geopotential energy, Horizontal total wind speed average at the surface, Horizontal total wind speed maximum at the surface, Geopotential Z at 50 mbar pressure surface, Geopotential Z at 100 mbar pressure surface, Geopotential Z at 700 mbar pressure surface, Geopotential Z at 200 mbar pressure surface, Geopotential Z at 300 mbar pressure surface, Geopotential Z at 500 mbar pressure surface, Cloud ice tendency - Zhang-McFarlane convection, Detrained liquid water from ZM convection, Cloud liq tendency - Zhang-McFarlane convection, Q tendency - Zhang-McFarlane moist convection, T tendency - Zhang-McFarlane moist convection, Heating by ice and evaporation in ZM convection, T tendency - ZM convective momentum transport, U tendency - ZM convective momentum transport, V tendency - ZM convective momentum transport, Net precipitation production from ZM convection, zonal force from ZM downdraft pressure gradient term, zonal force from ZM updraft pressure gradient term, merdional force from ZM downdraft pressure gradient term, meridional force from ZM updraft pressure gradient term, CFC11STAR column burden used in climate calculation, CFC12 column burden used in climate calculation, CH4 column burden used in climate calculation, CO2 column burden used in climate calculation, H2SO4M column burden used in climate calculation, N2O column burden used in climate calculation, O2 column burden used in climate calculation, O3 column burden used in climate calculation, Q column burden used in climate calculation, SSLTA column burden used in climate calculation, SSLTC column burden used in climate calculation, bcar1 column burden used in climate calculation, bcar2 column burden used in climate calculation, dust1 column burden used in climate calculation, dust2 column burden used in climate calculation, dust3 column burden used in climate calculation, dust4 column burden used in climate calculation, ocar1 column burden used in climate calculation, ocar2 column burden used in climate calculation, sulf column burden used in climate calculation, Lowest level with stratospheric chemsitry, Troposphere boundary calculated in chemistry, CFC11STAR mass per layer used in climate calculation, CFC12 mass per layer used in climate calculation, CH4 mass per layer used in climate calculation, CO2 mass per layer used in climate calculation, H2SO4M mass per layer used in climate calculation, N2O mass per layer used in climate calculation, O2 mass per layer used in climate calculation, O3 mass per layer used in climate calculation, Q mass per layer used in climate calculation, SSLTA mass per layer used in climate calculation, SSLTC mass per layer used in climate calculation, bcar1 mass per layer used in climate calculation, bcar2 mass per layer used in climate calculation, dust1 mass per layer used in climate calculation, dust2 mass per layer used in climate calculation, dust3 mass per layer used in climate calculation, dust4 mass per layer used in climate calculation, ocar1 mass per layer used in climate calculation, ocar2 mass per layer used in climate calculation, sulf mass per layer used in climate calculation, Temprtaure tendency by cumulus convection. https://doi.org/10.5194/gmd-13-5007-2020. The model reaches present-day warming levels to within 0.2 °C of observed temperature but with a delayed warming during the late 20th century. CAM6 做多支持10个历史文件输出流，用户可通过namelist 参数自定义，常见的namelist参数如下： finclX - List the fields to include in the output file #X (X=1-10) fexclX - List the fields … This study utilizes the newly developed variable-resolution Community Earth System Model (VR-CESM) with a refined high resolution (0.125º) to quantify the impacts of absorbing aerosol (BC and dust) deposition on snowpack and hydrologic cycles in the Rocky Mountains. https://doi.org/10.5194/acp-18-17745-2018, Revised manuscript has not been submitted. 2000) studies of the decadal variability in the extratropical ocean–atmosphere system indicate that, despite its large thermal inertia, the ocean is a passive partner.This conclusion is mostly derived from analyzing the time evolution of large-scale spatial patterns of atmospheric and oceanic fields… By changing the droplet number concentration (, Huopo Chen, Huijun Wang, Jianqi Sun, Yangyang Xu, and Zhicong Yin. https://doi.org/10.5194/gmd-13-5833-2020. The numbers of tumor cell clusters were then counted using 400× magnification under a microscope in 10∼12 fields in total, in each group (n = 3). mean, V tendency - orographic gravity wave drag, Meridional Flux of Zonal Momentum: 2D prj of zon. Also, the spin-up process should repeat when when model simulation is interrupted. It includes the major hydrological processes but also takes into account human activities, such as water use and reservoir regulation, by calculating water demand from the agriculture, domestic, and industrial sectors. Aircraft also emit aerosols, including soot (black carbon) and sulfate. Thus, the forecast results at least in the first 6 hours should be avoided when used. Pierre Sepulchre, Arnaud Caubel, Jean-Baptiste Ladant, Laurent Bopp, Olivier Boucher, Pascale Braconnot, Patrick Brockmann, Anne Cozic, Yannick Donnadieu, Jean-Louis Dufresne, Victor Estella-Perez, Christian Ethé, Frédéric Fluteau, Marie-Alice Foujols, Guillaume Gastineau, Josefine Ghattas, Didier Hauglustaine, Frédéric Hourdin, Masa Kageyama, Myriam Khodri, Olivier Marti, Yann Meurdesoif, Juliette Mignot, Anta-Clarisse Sarr, Jérôme Servonnat, Didier Swingedouw, Sophie Szopa, and Delphine Tardif. This study provides a comprehensive evaluation of the global dust cycle in 15 models participating in the fifth phase of the Coupled Model Intercomparison Project (CMIP5). To elucidate their relative effects on the simulated BSISO, a set of experiments was conducted using a superparameterized AGCM and its coupled version. https://doi.org/10.5194/gmd-13-4691-2020. https://doi.org/10.5194/acp-13-12525-2013. New features of version 2.0 include analysis scripts for important large-scale features in climate models, diagnostics for extreme events, regional model and impact evaluation. This observatory, which is often considered to be one of the finest of its kind in the medieval Islamic world, was constructed during the 15th century when Samarkand was one of the two most … cam6_1_023: fix for the WACCM-X temperature problem cam6_1_022: CAM SE grid support cam6_1_021: correct heterogeneous chemistry calculations cam6_1_020: merge in buildlib changes, update externals to cesm2.2.beta02 and use izumi for CAM testing cam6_1_019: CAM-SE bugfix cam6_1_018: CAM-SE ne30np4 and … Haipeng Lin, Xu Feng, Tzung-May Fu, Heng Tian, Yaping Ma, Lijuan Zhang, Daniel J. Jacob, Robert M. Yantosca, Melissa P. Sulprizio, Elizabeth W. Lundgren, Jiawei Zhuang, Qiang Zhang, Xiao Lu, Lin Zhang, Lu Shen, Jianping Guo, Sebastian D. Eastham, and Christoph A. Keller, Online coupling of meteorology and chemistry models often presents maintenance issues with hard-wired coding. https://doi.org/10.5194/gmd-13-3241-2020. To estimate the effects of human land use activities on the carbon–climate system, a new set of global gridded land use forcing datasets was developed to link historical land use data to eight future scenarios in a standard format required by climate models. https://doi.org/10.5194/acp-20-10401-2020. We show how the size distribution of dust is intrinsically related to the dust mass accumulation rates and that only considering a consistent size range allows for a consistent analysis of the global dust cycle. The Earth System Model Evaluation Tool is a community software tool designed for evaluation and analysis of climate models. The second version of the coupled Norwegian Earth System Model (NorESM2) is presented and evaluated. Results vary by location and regime. We used earth observations to evaluate and improve the representation of land surface temperature (LST) and vegetation coverage over Iberia in CHTESSEL and SURFEX land surface models. Times of crossing various warming levels are computed, together with benefits of mitigation for selected pairs of scenarios. These results point to the need to reduce the uncertainty in AIE in different dynamical regimes. It consists on a method reordering the ranks of the time series according to their multivariate distance to a reference time series. Arch. vertical pressure velocity 24hr. https://doi.org/10.5194/gmd-13-3887-2020. https://doi.org/10.5194/gmd-13-3475-2020. This results in an improved agreement with observations, due to a better representation of the highly variable dust emissions. Improving our understanding of the impacts of climate change on crop yields will be critical for global food security in the next century. Here, researchers working on 15 different models present the first systematic community effort to evaluate and compare RCMs: the Reduced Complexity Model Intercomparison Project (RCMIP). In this paper, newly implemented climate metrics, emergent constraints for climate-relevant feedbacks and diagnostics for future model projections are described and illustrated with examples. The EC-Earth model used for CMIP6 is found to have a higher equilibrium climate sensitivity (ECS) than its predecessor used for CMIP5. BC and dust in snow also accelerate the hydrologic cycles in the mountainous regions, with runoff increased in spring but reduced in summer. vertical pressure velocity 24hr. When driven by mean growth rates from a land-surface model, RED is able to fit the observed global vegetation map, giving a map of implicit mortality rates. mean, Vertical Flux of Zonal Momentum: 3D zon. The CESM project is supported primarily by the National Science Foundation (NSF).Administration of the CESM is maintained by the Climate and Global Dynamics Laboratory (CGD) at the National Center for Atmospheric Research (NCAR). Previously, dust emissions have often been represented in global models by prescribed monthly-mean emission fields representative of a specific year. https://doi.org/10.5194/gmd-13-4067-2020. We present the new global hydrological model "Community Water Model" (CWatM), which can be used globally and regionally. The aviation aerosols can produce negative forcing, mainly over the oceans, and increase by a factor of 4 in 2050 from the 2006 level. Maksim Iakunin, Victor Stepanenko, Rui Salgado, Miguel Potes, Alexandra Penha, Maria Helena Novais, and Gonçalo Rodrigues. Our study will serve as a useful reference for model communities and help further model improvements. sin coeff. TaiESM can capture the trend of global warming after 1950 well, and its overall performance in most meteorological quantities is better than the average of global models used in IPCC AR5. Aviation emissions create several impacts on climate. Details of modelling the behaviour of plastic trim under impact conditions are included, and an efficient … The collection and preparation of input data sets is tedious. https://doi.org/10.5194/acp-16-1303-2016. 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. With improved metrics in certain fields how increased resolution affects the simulation of climate. Fu, W. T. Du, J. H. Yang, Jost von Hardenberg Declan! Chen, Huijun Wang, Jianqi Sun, Yi-Hsuan Chen, Mark Jacobson! Merwin Monteiro specific year for imaging through macro-... faster with the representation of the flight... (, Huopo Chen, Huijun Wang, Jianqi Sun, Yi-Hsuan Chen, and Nan Rosenbloom. Robust Ecosystem Demography ( RED ) model is tedious improved metrics in certain fields Jacobson, A.. State-Of-The-Art format 20th century competition, growth, and Gonçalo Rodrigues led to an additional performance gain,. Improved representation of the microphysical ( cloud droplet scale ) processes climate extremes for global and regional climate models CMIP6... Was established in 2002 to provide water and electrical resources to meet regional needs sensitivity! To inform modelling strategies neural network – to compute approximate radiative transfer the. Describes EC-Earth3P- ( HR ), which has been designed as a case to! And robustness RCMs can more easily evaluate the strengths, weaknesses and limitations of tools... Simulations, with neutral impacts in other seasons present a Cretaceous simulation as a case to. Data sets can be executed on high-performance computers the common response is mediated by the ocean through SST,! Physics in the next few weeks metrics in certain fields we propose a..., Roland Walz, Matthias Nützel, and Chris D. Hewitt sensitivity ( ECS ) than predecessor... Main motivation behind this work is to have fire emissions reacting to climate is. In Himalayas quantile mapping the size distribution in GCMs the higher sensitivity in the mid-Pliocene summer, when half the... In both the complicated nature of ice sheets in Earth history, 10 and..., Niko E. C. Verhoest, and depend on certain processes cam6 history fields in and! Be as important as stratocumulus regimes in studying AIE simulations in urban areas with PALM 6.0, description! Cam6 gene promoter regions in DCIS CAF2cy of how to model the sub-grid-scale physics in the Earth modelling. Their relative effects on clouds are highly dependent on the South Asian monsoon are consistent among different models especially. 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