Inadequacies in the representation of sub-seasonal phytoplankton dynamics in Earth system models by M. G. Keerthi, M. G. Keerthi, O. Aumont, L. Kwiatkowski, M. Levy

“…This study assesses the capability of Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) to reproduce sub-seasonal surface ocean phytoplankton variations observed in ocean colour satellite data. …”
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A novel early‐warning standardized indicator for drought preparedness and management under multiple climate model projections by Sadia Qamar, Veysi Kartal, Muhammet Emin Emiroglu, Zulfiqar Ali, Saad Sh. Sammen, Miklas Scholz

“…The MFSPEI methodology is primarily based on the first component of the Forecastable Component Analysis (FCA) and the Standardized Precipitation Evapotranspiration Index (SPEI). …”
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Synthesizing global carbon–nitrogen coupling effects – the MAGICC coupled carbon–nitrogen cycle model v1.0 by G. Tang, Z. Nicholls, A. Norton, S. Zaehle, M. Meinshausen

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Synergistic Effects of Multiple Monsoon Systems on Autumn Precipitation in West China by Luchi Song, Lingli Fan, Chunqiao Lin, Jiahao Li, Jianjun Xu

“…Here, we employed statistical analysis of Global Precipitation Climatology Project Version 3.2 precipitation data, European Center for Medium-Range Weather Forecasts ERA5 reanalysis data, and Coupled Model Intercomparison Project model data, and calculated four monsoon indices to analyze the features of the East Asian Monsoon, South Asian Monsoon, Asia Zonal Circulation, and Tibetan Plateau Monsoon, as well as their synergistic impacts on autumn precipitation in West China. …”
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Stratification and overturning circulation are intertwined controls on ocean heat uptake efficiency in climate models by L. Vogt, L. Vogt, J.-B. Sallée, C. de Lavergne

“…</p> <p>In this study, we analyze model output from an ensemble of 28 climate models from the Coupled Model Intercomparison Project, Phase 6 (CMIP6), in order to resolve these apparently divergent explanations. …”
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The spatial-temporal changes in water balance components under future climate change in the Gorganroud Watershed, Iran by Ghorbani Hossein, Akbari Azirani Tayebeh, Entezari Alireza, Baaghideh Mohammad

“…We also used the outputs from a Coupled Model Intercomparison Project Phase 9 (CMIP6) climate model to project future climate variables for 2025–2054 and 2071–2100 periods. …”
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Influence of wave effect on fiber stress limit under tensile tests of composite material by I. R. Antypas, Amer Karnoub, A. G. Dyachenkо

“…The stability of their intercomparison test results is established. The dependence of the maximum tensile stresses σmax, MPa, (on the vertical axis) on the fiber angle θmax is obtained. …”
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Increasing Difference in Interannual Summertime Surface Air Temperature Between Interior East Antarctica and the Antarctic Peninsula Under Future Climate Scenarios by Rui Mao, Seong‐Joong Kim, Dao‐Yi Gong, Xiaohong Liu, Xinyu Wen, Liping Zhang, Feng Tang, Qi Zong, Cunde Xiao, Minghu Ding, Sang‐Jong Park

“…Abstract In this study, using the Climate Model Intercomparison Project 5 (CMIP5) simulations and by empirical orthogonal function (EOF) analysis, the first mode of variability in interannual surface air temperature (SAT) in Antarctica (EOF1) was examined for the period between 1979–2004 and 2051–2099 during the austral summer. …”
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Assessment of Observed and Projected Extreme Droughts in Perú—Case Study: Candarave, Tacna by Ana Cruz-Baltuano, Raúl Huarahuara-Toma, Arlette Silva-Borda, Samuel Chucuya, Pablo Franco-León, Germán Huayna, Lía Ramos-Fernández, Edwin Pino-Vargas

“…On the other hand, a high-resolution dataset of climate models from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) under the SSP3-7.0 scenario was used to project future droughts. …”
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Simulation and Forecast of Coastal Ecosystem Services in Jiaodong Peninsula Based on SSP-RCP Scenarios by Wenhui Guo, Ranghui Wang, Fanhui Meng

“…Future climate change and land use were forecast based on scenarios from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was used to assess ESs such as water yield (WY), carbon storage (CS), soil retention (SR), and habitat quality (HQ). …”
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Balancing co-benefits and trade-offs between climate change mitigation and adaptation innovations under mixed crop-livestock systems in semi-arid Zimbabwe by Sabine Homann-Kee Tui, Roberto O. Valdivia, Katrien Descheemaeker, Gevious Sisito, Elisha N. Moyo, Farai Mapanda

“…Integrated simulation-based research approaches developed under the Agricultural Model Intercomparison and Improvement Project (AgMIP) are important sources of evidence to guide policy decisions towards sustainable intensification. …”
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Inter-Model Spread in Representing the Impacts of ENSO on the South China Spring Rainfall in CMIP6 Models by Xin Yin, Xiaofei Wu, Hailin Niu, Kaiqing Yang, Linglong Yu

“…This study investigates the fidelity of 40 models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) in representing the impacts of ENSO on South China Spring Rainfall (SCSR) during the ENSO decaying spring. …”
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Characterization and environmental performance evaluation of locally manufactured P-32 and commercial activated carbons on the Ghanaian market by Isaac K. Tetteh, Solomon Nandomah, Janet A. Boadu, Amos Nortey, Esther B. Dwemoh, Antonia Y. Tetteh

“…Intercorrelation matrices, descriptive statistics, and Analysis of Variance (ANOVA) were used for properties intercomparison. …”
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Investigating carbon and nitrogen conservation in reported CMIP6 Earth system model data by G. Tang, G. Tang, Z. Nicholls, Z. Nicholls, Z. Nicholls, C. Jones, C. Jones, T. Gasser, A. Norton, T. Ziehn, A. Romero-Prieto, M. Meinshausen, M. Meinshausen

“…<p>Reliable, robust, and consistent data are essential foundations for analysis of carbon cycle feedbacks. Here, we consider the data from multiple Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6). …”
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Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin by Prashant Parasar, Akhouri Pramod Krishna

“…Leveraging hydroclimatic inputs from five coupled model intercomparison project phase 6 (CMIP6) general circulation models (GCM) under the high emissions shared socioeconomic pathway (SSP585) scenario, the model was trained and evaluated across four active gauging stations: Muri, Adityapur, Jamshedpur, and Ghatsila covering the period 1980 to 2022, with projections extending to 2100. …”
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Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 by Ahmad Iqbal, Naveed Ahmad, Hassan Mohy ud Din, Michel Van Roozendael, Muhammad Shehzaib Anjum, Muhammad Zeeshan Ali Khan, Muhammad Fahim Khokhar

“…This study presents an intercomparison of NO2 retrieval settings using the Differential Optical Absorption Spectroscopy (DOAS) and based on the literature published over the last 20 years. …”
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Meridional Oceanic and Atmospheric Heat Fluxes at the Entrance to the Atlantic Sector of the Arctic: Verification of CMIP6 Models and Climate Projections Based on the Selected Sub-... by Latonin Mikhail, Bashmachnikov Igor L'vovich, Radchenko Iuliia, Gnatiuk Natalia, Bobylev Leonid Petrovich, Pettersson Lasse

“…The main aim of this study is to evaluate the performance of the Coupled Model Intercomparison Project phase 6 (CMIP6) models in the historical experiment in simulating the meridional heat fluxes into the Atlantic sector of the Arctic. …”
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Quantifying the spread in sudden stratospheric warming wave forcing in CMIP6 by V. Martínez-Andradas, V. Martínez-Andradas, A. de la Cámara, P. Zurita-Gotor, P. Zurita-Gotor, F. Lott, F. Serva

“…This work compares the simulation of boreal SSWs in historical runs for seven high-top Climate Model Intercomparison Project Phase 6 models and in two reanalyses. …”
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Time Variability Correction of CMIP6 Climate Change Projections by Y. Shao, C. H. Bishop, S. Hobeichi, N. Nishant, G. Abramowitz, S. Sherwood

“…From our global‐scale analysis, on average, raw Coupled Model Intercomparison Project Phase 6 (CMIP6) models misrepresent temporal variances at differing time scales for maximum temperature (tasmax) by a considerable margin, particularly at 183‐, 92‐ and 46‐day time scales. …”
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Numerical study of the error sources in the experimental estimation of thermal diffusivity: an application to debris-covered glaciers by C. Beck, C. Beck, L. Nicholson

“…These findings can be used to plan optimal field-sampling strategies for future campaigns and as a guide for common reanalysis of existing datasets to allow intercomparison across sites.</p>…”
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