Publication date: 15 October 2024
Source: Earth and Planetary Science Letters, Volume 644
Author(s): Yuqi Zhu, Zhouchuan Huang, Cong Ji, Dayong Yu, Ning Mi, Liangshu Wang, Christian Schiffer
Publication date: 15 October 2024
Source: Earth and Planetary Science Letters, Volume 644
Author(s): Konstantin Huber, Timm John, Johannes C. Vrijmoed, Jan Pleuger, Xin Zhong
Publication date: 15 October 2024
Source: Earth and Planetary Science Letters, Volume 644
Author(s): Peter J. Michael, Jie Zhang, Stacy R. Trowbridge
Publication date: 15 October 2024
Source: Earth and Planetary Science Letters, Volume 644
Author(s): Dehua Wang, John R. Elliott, Gang Zheng, Tim J. Wright, Andrew R. Watson, Jack D. McGrath
Publication date: 15 October 2024
Source: Earth and Planetary Science Letters, Volume 644
Author(s): Zhiqiang Liu, Chuntao Liang, Christoph Sens-Schönfelder, Wei Hu, Xinlei Sun, Tuo Zhang, Rui Xu, Zhiyu Jiang, Hao Jiang
Publication date: 15 October 2024
Source: Earth and Planetary Science Letters, Volume 644
Author(s): Daniel L. Sullivan, Gregory A. Brennecka, Katherine E. Grant, Ariel D. Anbar
Publication date: 15 October 2024
Source: Earth and Planetary Science Letters, Volume 644
Author(s): Yan Jia, Stephen S. Gao, Kelly H. Liu
Publication date: Available online 17 August 2024
Source: Advances in Space Research
Author(s): Lei Zhao, Paul Blunt, Lei Yang, Qiyuan Zhang, Guangcai Li, Qiang Wen
Publication date: Available online 17 August 2024
Source: Advances in Space Research
Author(s): Nikolay Koshkin, Leonid Shakun, Elena Korobeynikova, Seda Melikyants, Svetlana Strakhova, Vladislav Dragomiretsky, Andrey Ryabov, Sergey Terpan, Tatiana Golubovskaya
Publication date: Available online 15 August 2024
Source: Advances in Space Research
Author(s): Boxin Li, Zhaokui Wang
Publication date: Available online 15 August 2024
Source: Advances in Space Research
Author(s): Xinting Luo, Ming Zhu, Yifei Zhang, Zewei Zheng, Tian Chen
Publication date: Available online 15 August 2024
Source: Advances in Space Research
Author(s): Hangbiao Zhu, Haichao Gui, Rui Zhong
Closing the gap in the tropics: the added value of radio-occultation data for wind field monitoring across the Equator
Julia Danzer, Magdalena Pieler, and Gottfried Kirchengast
Atmos. Meas. Tech., 17, 4979–4995, https://doi.org/10.5194/amt-17-4979-2024, 2024
We investigated the potential of radio occultation (RO) data for climate-oriented wind field monitoring, focusing on the equatorial band within ±5° latitude. In this region, the geostrophic balance breaks down, and the equatorial balance approximation takes over. The study encourages the use of RO wind fields for mesoscale climate monitoring for the equatorial region, showing a small improvement in the troposphere when including the meridional wind in the zonal-mean total wind speed.
Shortwave Array Spectroradiometer-Hemispheric (SAS-He): design and evaluation
Evgueni Kassianov, Connor J. Flynn, James C. Barnard, Brian D. Ermold, and Jennifer M. Comstock
Atmos. Meas. Tech., 17, 4997–5013, https://doi.org/10.5194/amt-17-4997-2024, 2024
Conventional ground-based radiometers commonly measure solar radiation at a few wavelengths within a narrow spectral range. These limitations prevent improved retrievals of aerosol, cloud, and surface characteristics. To address these limitations, an advanced ground-based radiometer with expanded spectral coverage and hyperspectral capability is introduced. Its good performance is demonstrated using reference data collected over three coastal regions with diverse types of aerosols and clouds.
A doughnut-shaped region thousands of kilometers beneath our feet within Earth's liquid core has been discovered by scientists from The Australian National University (ANU), providing new clues about the dynamics of our planet's magnetic field.
Analysis of model error in forecast errors of extended atmospheric Lorenz 05 systems and the ECMWF system
Hynek Bednář and Holger Kantz
Geosci. Model Dev., 17, 6489–6511, https://doi.org/10.5194/gmd-17-6489-2024, 2024
The forecast error growth of atmospheric phenomena is caused by initial and model errors. When studying the initial error growth, it may turn out that small-scale phenomena, which contribute little to the forecast product, significantly affect the ability to predict this product. With a negative result, we investigate in the extended Lorenz (2005) system whether omitting these phenomena will improve predictability. A theory explaining and describing this behavior is developed.
Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0)
Huajie Zhu, Mousong Wu, Fei Jiang, Michael Vossbeck, Thomas Kaminski, Xiuli Xing, Jun Wang, Weimin Ju, and Jing M. Chen
Geosci. Model Dev., 17, 6337–6363, https://doi.org/10.5194/gmd-17-6337-2024, 2024
In this work, we developed the Nanjing University Carbon Assimilation System (NUCAS v1.0). Data assimilation experiments were conducted to demonstrate the robustness and investigate the feasibility and applicability of NUCAS. The assimilation of ecosystem carbonyl sulfide (COS) fluxes improved the model performance in gross primary productivity, evapotranspiration, and sensible heat, showing that COS provides constraints on parameters relevant to carbon-, water-, and energy-related processes.
Development of a plant carbon–nitrogen interface coupling framework in a coupled biophysical-ecosystem–biogeochemical model (SSiB5/TRIFFID/DayCent-SOM v1.0)
Zheng Xiang, Yongkang Xue, Weidong Guo, Melannie D. Hartman, Ye Liu, and William J. Parton
Geosci. Model Dev., 17, 6437–6464, https://doi.org/10.5194/gmd-17-6437-2024, 2024
A process-based plant carbon (C)–nitrogen (N) interface coupling framework has been developed which mainly focuses on plant resistance and N-limitation effects on photosynthesis, plant respiration, and plant phenology. A dynamic C / N ratio is introduced to represent plant resistance and self-adjustment. The framework has been implemented in a coupled biophysical-ecosystem–biogeochemical model, and testing results show a general improvement in simulating plant properties with this framework.
LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry
Cara Nissen, Nicole S. Lovenduski, Mathew Maltrud, Alison R. Gray, Yohei Takano, Kristen Falcinelli, Jade Sauvé, and Katherine Smith
Geosci. Model Dev., 17, 6415–6435, https://doi.org/10.5194/gmd-17-6415-2024, 2024
Autonomous profiling floats have provided unprecedented observational coverage of the global ocean, but uncertainties remain about whether their sampling frequency and density capture the true spatiotemporal variability of physical, biogeochemical, and biological properties. Here, we present the novel synthetic biogeochemical float capabilities of the Energy Exascale Earth System Model version 2 and demonstrate their utility as a test bed to address these uncertainties.
Description and validation of Vehicular Emissions from Road Traffic (VERT) 1.0, an R-based framework for estimating road transport emissions from traffic flows
Giorgio Veratti, Alessandro Bigi, Sergio Teggi, and Grazia Ghermandi
Geosci. Model Dev., 17, 6465–6487, https://doi.org/10.5194/gmd-17-6465-2024, 2024
In this study, we present VERT (Vehicular Emissions from Road Traffic), an R package designed to estimate transport emissions using traffic estimates and vehicle fleet composition data. Compared to other tools available in the literature, VERT stands out for its user-friendly configuration and flexibility of user input. Case studies demonstrate its accuracy in both urban and regional contexts, making it a valuable tool for air quality management and transport scenario planning.
