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Articles de revues sur le sujet « DYAMOND »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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1

Chang, Hui-Yin, Ching-Tai Chen, Chu-Ling Ko, et al. "iTop-Q: an Intelligent Tool for Top-down Proteomics Quantitation Using DYAMOND Algorithm." Analytical Chemistry 89, no. 24 (2017): 13128–36. http://dx.doi.org/10.1021/acs.analchem.7b02343.

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STEVENS, Bjorn, and Masaki SATOH. "Editorial for the special edition on DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains." Journal of the Meteorological Society of Japan. Ser. II 99, no. 6 (2021): 1393–94. http://dx.doi.org/10.2151/jmsj.2021-d.

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Takasuka, Daisuke, Masaki Satoh, Tomoki Miyakawa, et al. "A protocol and analysis of year‑long simulations of global storm‑resolving models and beyond." Progress in Earth and Planetary Science 11 (December 19, 2024): 66. https://doi.org/10.1186/s40645-024-00668-1.

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Abstract We propose a protocol to evaluate and analyze year-long simulations of global storm-resolving models (GSRMs). The proposed protocol complements an earlier 40-day simulation protocol under the DYAMOND (DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains) project to allow the analysis of the seasonal cycle and associated climatic relevant phenomena. This intercomparison aims to reveal how GSRMs, which can simulate mesoscale convective systems (MCSs) in the global domain, reproduce atmospheric large-scale structures related to convection beyond month-long s

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4

Hope Morrison. "Make Way for Dyamonde Daniel (review)." Bulletin of the Center for Children's Books 63, no. 1 (2009): 21–22. http://dx.doi.org/10.1353/bcc.0.1164.

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5

Zhang, Xunzhong, Travis Roberson, Mike Goatley, Taylor Flanary, and David McCall. "Silicon Enhances Antioxidant Capacity and Photochemical Efficiency in Drought-Stressed Creeping Bentgrass (Agrostis stolonifera L.) Putting Greens." Horticulturae 11, no. 6 (2025): 664. https://doi.org/10.3390/horticulturae11060664.

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Creeping bentgrass (Agrostis stolonifera L.) is an important cool-season turfgrass species that is not well understood. The objective of this study was to determine the effects of the mechanisms underlying silicon (Si) on creeping bentgrass drought tolerance under field conditions from 2022 to 2023. Five treatments, including a control (potassium silicate at 0.95 and 1.90 mL m−2), Dyamin-OSA at 0.64 and 1.28 mL m−2, and Agsil 21 at 0.35 mL m−2, were arranged in a randomized block design with four replications and applied biweekly to creeping bentgrass putting greens during summer months. Defic

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6

Singer, Julie. "‘De aymant en dyamant’: Lexical transmutations in the works of Philippe de Mézières." postmedieval 11, no. 1 (2020): 102–11. http://dx.doi.org/10.1057/s41280-020-00161-0.

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7

Ahn, Min-Seop, Paul A. Ullrich, Jiwoo Lee, et al. "Bimodality in simulated precipitation frequency distributions and its relationship with convective parameterizations." npj Climate and Atmospheric Science 7, no. 1 (2024). http://dx.doi.org/10.1038/s41612-024-00685-3.

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AbstractBimodality in precipitation frequency distributions is often evident in atmospheric models, but rarely in observations. This study i) proposes a metric to objectively quantify the bimodality in precipitation distributions, ii) evaluates model simulations contributed to the Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5), phase 6 (CMIP6), and the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) project by comparing them to satellite-based and reanalysis precipitation products, and iii) investigates possible origins of bimodal prec

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Turbeville, S. M., T. P. Ackerman, and P. N. Blossey. "Tropical Cirrus in Global‐Storm Resolving Models: 3. Seasonal Changes and TTL Cirrus in the Tropical Western Pacific Using DYAMOND." Earth and Space Science 12, no. 4 (2025). https://doi.org/10.1029/2024ea003884.

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AbstractRecent advances in computer modeling have spurred the production of several global storm‐resolving models (GSRMs), which explicitly represent atmospheric circulations from convective to global scales. As a result, GSRMs simulate the formation and evolution of tropical cirrus clouds more physically than typical global climate models/general circulation models (GCMs) which use parameterizations to represent deep convection. We analyze the output from nine GSRMs from the DYAMOND initiative, focusing on the second phase of DYAMOND that simulated a period in January–February 2020. This pape

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Feng, Zhe, Andreas F. Prein, Julia Kukulies, et al. "Mesoscale Convective Systems Tracking Method Intercomparison (MCSMIP): Application to DYAMOND Global km‐Scale Simulations." Journal of Geophysical Research: Atmospheres 130, no. 8 (2025). https://doi.org/10.1029/2024jd042204.

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AbstractGlobal kilometer‐scale models represent the future of Earth system modeling, enabling explicit simulation of organized convective storms and their associated extreme weather. Here, we comprehensively evaluate tropical mesoscale convective system (MCS) characteristics in the DYAMOND (DYnamics of the atmospheric general circulation modeled on non‐hydrostatic domains) simulations for both summer and winter phases. Using 10 different feature trackers applied to simulations and satellite observations, we assess MCS frequency, precipitation, and other key characteristics. Substantial differe

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10

Feng, Zhe, L. Ruby Leung, Joseph Hardin, Christopher R. Terai, Fengfei Song, and Peter Caldwell. "Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations." Geophysical Research Letters 50, no. 4 (2023). http://dx.doi.org/10.1029/2022gl102603.

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ROH, Woosub, Masaki SATOH, and Cathy HOHENEGGER. "Intercomparison of Cloud Properties in DYAMOND Simulations over the Atlantic Ocean." Journal of the Meteorological Society of Japan. Ser. II, 2021. http://dx.doi.org/10.2151/jmsj.2021-070.

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12

Ćorko, Karol, Ulrike Burkhardt, Florian Ewald, and Martin Köhler. "Inter‐Model Variability of Tropical Total Ice Water Path Simulated by the Convection Permitting DYAMOND Models." Journal of Geophysical Research: Atmospheres 130, no. 9 (2025). https://doi.org/10.1029/2024jd041954.

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AbstractCirrus clouds have a large impact on radiation, yet coarse resolution models struggle to simulate their properties and structure realistically. Employing globally resolutions of below 5 km, the models from the Dynamics of the Atmospheric general circulation Modeled On Non‐hydrostatic Domains (DYAMOND) project do not require a parameterization for deep convection. This can be expected to lead to a better representation of cloudiness, particularly in the tropics where most of the total ice water path (TIWP) results from convection. We study the inter‐model variability of TIWP simulated b

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13

Makgoale, T. E., and S. C. Sullivan. "Characterization and Comparison of Simulated Precipitation Efficiency From Global Storm‐Resolving Models Over the Asian Monsoon Region." Journal of Geophysical Research: Atmospheres 130, no. 15 (2025). https://doi.org/10.1029/2025jd044228.

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AbstractThis study evaluates the simulated tropical precipitation production from six global storm‐resolving models participating in the DYnamics of the Atmospheric general circulation Modeled on Nonhydrostatic Domains (DYAMOND) intercomparison project. We first assess how well the DYAMOND models reproduce precipitation intensity () relative to observations of the Integrated MultisatellitE Retrievals for Global Precipitation Measurement, as well as cloud water paths (CWP) relative to the ERA5 reanalysis. Both and CWP differences vary greatly between the models. We then look at the ratio of the

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14

Stevens, Bjorn, Masaki Satoh, Ludovic Auger, et al. "DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains." Progress in Earth and Planetary Science 6, no. 1 (2019). http://dx.doi.org/10.1186/s40645-019-0304-z.

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Abstract A review of the experimental protocol and motivation for DYAMOND, the first intercomparison project of global storm-resolving models, is presented. Nine models submitted simulation output for a 40-day (1 August–10 September 2016) intercomparison period. Eight of these employed a tiling of the sphere that was uniformly less than 5 km. By resolving the transient dynamics of convective storms in the tropics, global storm-resolving models remove the need to parameterize tropical deep convection, providing a fundamentally more sound representation of the climate system and a more natural l

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15

SU, Chun-Yian, Wei-Ting CHEN, Chien-Ming WU, and Hsi-Yen MA. "Object-Based Evaluation of Tropical Precipitation Systems in DYAMOND Simulations over the Maritime Continent." Journal of the Meteorological Society of Japan. Ser. II, 2022. http://dx.doi.org/10.2151/jmsj.2022-033.

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16

Gutjahr, O., J. H. Jungclaus, N. Brüggemann, H. Haak, and J. Marotzke. "Air-Sea Interactions and Water Mass Transformation During a Katabatic Storm in the Irminger Sea." Journal of Geophysical Research: Oceans 127, no. 5 (2022). https://doi.org/10.1029/2021JC018075.

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<strong>Abstract</strong> We use a global 5-km resolution model to analyze the air-sea interactions during a katabatic storm in the Irminger Sea originating from the Ammassalik valleys. Katabatic storms have not yet been resolved in global climate models, raising the question of whether and how they modify water masses in the Irminger Sea. Our results show that dense water forms along the boundary current and on the shelf during the katabatic storm due to the heat loss caused by the high wind speeds and the strong temperature contrast. The dense water contributes to the lightest upper North At

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17

Hong, Seongyon, Wooyoung Jo, Sangjin Kim, et al. "Dyamond: Compact and Efficient 1T1C DRAM IMC Accelerator With Bit Column Addition for Memory-Intensive AI." IEEE Journal of Solid-State Circuits, 2025, 1–12. https://doi.org/10.1109/jssc.2025.3538899.

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18

Song, Jinyan, Fengfei Song, Zhe Feng, L. Ruby Leung, Chao Li, and Lixin Wu. "Realistic Precipitation Diurnal Cycle in Global Convection‐Permitting Models by Resolving Mesoscale Convective Systems." Geophysical Research Letters 51, no. 13 (2024). http://dx.doi.org/10.1029/2024gl109945.

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AbstractAccurately representing the precipitation diurnal cycle has long been a challenge for global climate models (GCMs). Here we evaluate the precipitation diurnal cycle in the DYAMOND global convection‐permitting models (CPMs) and CMIP6 HighResMIP models. Comparison of the high‐ (25–50 km) and low‐resolution (100–250 km) models with parameterized convection in HighResMIP shows that simply increasing model resolution does not noticeably improve the precipitation diurnal cycle. In contrast, CPMs can better capture the observed amplitude and timing of precipitation diurnal cycle. However, the

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19

Zhang, Yi, Xiaohan Li, Zhuang Liu, et al. "Resolution Sensitivity of the GRIST Nonhydrostatic Model From 120 to 5 km (3.75 km) During the DYAMOND Winter." Earth and Space Science 9, no. 9 (2022). http://dx.doi.org/10.1029/2022ea002401.

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20

Morfa, Yanmichel A., and Claudia C. Stephan. "The Relationship Between Horizontal and Vertical Velocity Wavenumber Spectra in Global Storm-resolving Simulations." Journal of the Atmospheric Sciences, January 18, 2023. http://dx.doi.org/10.1175/jas-d-22-0105.1.

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Abstract Several studies have reported vertical kinetic energy spectra almost white in horizontal wavenumber space with evidence of two maxima at synoptic scales and mesoscales, leaving the explanation of these maxima open. Processes known to influence the shape of the horizontal kinetic energy spectra include the superposition of quasi-linear inertia-gravity waves (IGWs), quasigeostrophic turbulence, and moist convection. In contrast, vertical kinetic energy has been discussed much less, as measuring vertical velocity remains challenging. This study compares the horizontal and vertical kineti

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21

Ricard, Lucile, Tom Beucler, Claudia Christine Stephan, and Athanasios Nenes. "A causal intercomparison framework unravels precipitation drivers in Global Storm-Resolving Models." npj Climate and Atmospheric Science 8, no. 1 (2025). https://doi.org/10.1038/s41612-025-01104-x.

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Abstract Correctly representing convective precipitation remains a long-standing problem in climate models, due to its highly parameterized nature and unclear role of drivers interacting over a wide range of spatial scales. We analyze and compare simulations of Global Storm-Resolving Models, namely the DYAMOND models, using a methodology based on dimensionality reduction and causal inference, to unravel the contribution of large-scale variables and storm-scale dynamics on precipitation distribution. We derive regions of Column Relative Humidity ( $${CRH}$$ CRH ), which exclude sharp humidity g

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22

Nugent, Jacqueline M., Christopher S. Bretherton, and Peter N. Blossey. "What Sets the Tropical Cold Point in GSRMs During Boreal Winter? Overshooting Convection Versus Cirrus Lofting." Earth and Space Science 12, no. 6 (2025). https://doi.org/10.1029/2024ea003887.

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AbstractThe cold point tropopause, the minimum temperature within the tropical upper troposphere‐lower stratosphere region (UTLS), significantly impacts Earth's climate by influencing the amount of water vapor entering the lower stratosphere. Understanding which mechanisms are most important in setting the cold point temperature and height may help us better predict how it will change in a future warmed climate. In this analysis we evaluate two mechanisms that may influence the cold point—cold point‐overshooting convection and the radiative lofting of thin cirrus near the cold point—during bor

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23

Takasuka, Daisuke, Masaki Satoh, Tomoki Miyakawa, et al. "A protocol and analysis of year-long simulations of global storm-resolving models and beyond." Progress in Earth and Planetary Science 11, no. 1 (2024). https://doi.org/10.1186/s40645-024-00668-1.

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AbstractWe propose a protocol to evaluate and analyze year-long simulations of global storm-resolving models (GSRMs). The proposed protocol complements an earlier 40-day simulation protocol under the DYAMOND (DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains) project to allow the analysis of the seasonal cycle and associated climatic relevant phenomena. This intercomparison aims to reveal how GSRMs, which can simulate mesoscale convective systems (MCSs) in the global domain, reproduce atmospheric large-scale structures related to convection beyond month-long si

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24

Chinita, Maria. "Code for SHOC+MF_v1.0." August 20, 2022. https://doi.org/10.5281/zenodo.7011628.

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Code_SHOCMF.zip contains the modified shoc.F90 and shoc_intr.F90 in addition to the mass_flux.F90 code used for the paper entitled "Improving the representation of shallow cumulus convection with the Simplified Higher-Order Closure Mass-Flux (SHOC+MF v1.0) approach" submitted to Geoscientific Model Development. Note that the SCREAM model code used in this study is located at https://github.com/E3SM-Project/scream/releases/tag/dyamond2-try1. It is also included the scripts and respective IOP files used to generate the Single-Column Model simulations shown in the paper.

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Chinita, Maria. "Code for SHOC+MF." August 17, 2022. https://doi.org/10.5281/zenodo.7011600.

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Code_SHOCMF.zip contains the modified shoc.F90 and shoc_intr.F90 in addition to the mass_flux.F90 code used for the paper entitled "Improving the representation of shallow cumulus convection with the Simplified Higher-Order Closure Mass-Flux (SHOC+MF v1.0) approach" submitted to Geoscientific Model Development. Note that the SCREAM model code used in this study is located at https://github.com/E3SM-Project/scream/releases/tag/dyamond2-try1. It is also included the scripts and respective IOP files used to generate the Single-Column Model simulations shown in the paper.

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Dylan, Ammons. "Canine osteosarcoma single-cell RNA sequencing reference dataset: analysis code and processed data for publication." March 28, 2024. https://doi.org/10.5281/zenodo.10891255.

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Canine osteosarcoma scRNA-seq atlas This release adds the processed data to ensure the data are accessible. The relevant manuscript is, "Single-cell RNA sequencing reveals the cellular and molecular composition of treatment-naïve primary canine osteosarcoma tumors."   File descriptions canine_naive_n6_annotated.rds - Full dataset with annotations stored in the `celltype.l1`, `celltype.l2`, and `celltype.l3` metadata slots. tumor_subset_annotated.rds - Tumor cell subset used in generation of Figure 2. Annotations stored in the `majorID_sub` and `majorID_subWclus` metadata slots. tcell

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