A5100367697- Oceanographic and Atmospheric Processes
- Climate variability and models
- Arctic and Antarctic ice dynamics
- Geological Studies and Exploration
- Methane Hydrates and Related Phenomena
- Geology and Paleoclimatology Research
- Meteorological Phenomena and Simulations
- Marine and coastal ecosystems
- Phosphorus and nutrient management
- Ocean Waves and Remote Sensing
- Energy, Environment, Economic Growth
- Plant Ecology and Soil Science
- Climate change impacts on agriculture
- Tree-ring climate responses
- Atmospheric and Environmental Gas Dynamics
- Constructed Wetlands for Wastewater Treatment
- Parasite Biology and Host Interactions
- Identification and Quantification in Food
- Environmental DNA in Biodiversity Studies
- Tropical and Extratropical Cyclones Research
- Geophysics and Gravity Measurements
- Microbial Community Ecology and Physiology
- Turbomachinery Performance and Optimization
- Aquatic Ecosystems and Phytoplankton Dynamics
- Coastal wetland ecosystem dynamics
University of Toronto
2025
Institute of Atmospheric Physics
2011-2024
Chinese Academy of Sciences
2011-2024
Beijing Normal University
2022-2024
China University of Geosciences (Beijing)
2023-2024
Central University of Finance and Economics
2024
Suzhou University of Science and Technology
2024
Institute of Hydrobiology
2024
Nanjing Forestry University
2024
Chinese Institute for Brain Research
2024
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 39:31-46 (2009) - DOI: https://doi.org/10.3354/cr00797 change and drought: a risk assessment of crop-yield impacts Yinpeng Li1,2,*, Wei Ye1, Meng Wang1, Xiaodong Yan2 1The International Global Change Institute (IGCI), University Waikato, Private Bag 3105, Hamilton 3240, New Zealand 2START TEA, The Atmospheric Physics, Chinese...
Abstract. We present a new framework for global ocean–sea-ice model simulations based on phase 2 of the Ocean Model Intercomparison Project (OMIP-2), making use surface dataset Japanese 55-year atmospheric reanalysis driving models (JRA55-do). motivate OMIP-2 over first OMIP (OMIP-1), previously referred to as Coordinated Ocean–ice Reference Experiments (COREs), via evaluation OMIP-1 and from 11 state-of-the-science models. In evaluation, multi-model ensemble means spreads are calculated...
Abstract. This paper presents global comparisons of fundamental climate variables from a suite four pairs matched low- and high-resolution ocean sea ice simulations that are obtained following the OMIP-2 protocol (Griffies et al., 2016) integrated for one cycle (1958–2018) JRA55-do atmospheric state runoff dataset (Tsujino 2018). Our goal is to assess robustness climate-relevant improvements in (mean variability) associated with moving coarse (∼ 1∘) eddy-resolving 0.1∘) horizontal...
Abstract. The ocean mixed layer is the interface between interior and atmosphere or sea ice plays a key role in climate variability. It thus critical that numerical models used studies are capable of good representation layer, especially its depth. Here we evaluate mixed-layer depth (MLD) six pairs non-eddying (1∘ grid spacing) eddy-rich (up to 1/16∘) from Ocean Model Intercomparison Project (OMIP), forced by common atmospheric state. For model evaluation, use an updated MLD dataset computed...
Short-term sea surface temperature (SST) forecasts are crucial for operational oceanology. This study introduced a specialized Transformer model (U-Transformer) to forecast global short-term SST variability and compare with those from Convolutional Long Short-Term Memory (ConvLSTM) Residual Neural Network (ResNet) models. The U-Transformer achieved root mean square errors (RMSEs) of 0.2–0.54 °C lead times 1–10 days during 2020–2022, anomaly correlation...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 46:223-242 (2011) - DOI: https://doi.org/10.3354/cr00986 Effects of climate change on maize production, and potential adaptation measures: a case study in Jilin Province, China Meng Wang1,*, Yinpeng Li1,2, Wei Ye1, Janet F. Bornman1, Xiaodong Yan2 1International Global Change Centre (IGCC), University Waikato, Private Bag 3105,...
Abstract The datasets of two Ocean Model Intercomparison Project (OMIP) simulation experiments from the LASG/IAP Climate Model, version 3 (LICOM3), forced by different sets atmospheric surface data, are described in this paper. experiment CORE-II (Co-ordinated Ocean–Ice Reference Experiments, Phase II) data (1948–2009) is called OMIP1, and that JRA55-do (surface dataset for driving ocean–sea-ice models based on Japanese 55-year reanalysis) (1958–2018) OMIP2. First, improvement LICOM CMIP5 to...
Abstract. This study evaluates the impact of increasing resolution on Arctic Ocean simulations using five pairs matched low- and high-resolution models within OMIP-2 (Ocean Model Intercomparison Project phase 2) framework. The primary objective is to assess whether a higher can mitigate typical biases in low-resolution improve representation key climate-relevant variables. We reveal that horizontal contributes reduction mean temperature salinity improves simulation Atlantic water layer its...
Abstract. A high-resolution (1/20∘) global ocean general circulation model with graphics processing unit (GPU) code implementations is developed based on the LASG/IAP Climate System Ocean Model version 3 (LICOM3) under a heterogeneous-compute interface for portability (HIP) framework. The dynamic core and physics package of LICOM3 are both ported to GPU, three-dimensional parallelization (also partitioned in vertical direction) applied. HIP (LICOM3-HIP) 42 times faster than same number CPU...
Abstract A super-large ensemble simulation dataset with 110 members has been produced by the fully coupled model FGOALS-g3 developed researchers at Institute of Atmospheric Physics, Chinese Academy Sciences. This is first large simulations a climate system modeling center. The largest realizations up to now worldwide in terms single-model initial-condition ensembles. Each member includes historical experiment (1850–2014) and an (2015–99) under very high greenhouse gas emissions Shared...
The impact of the resolution on large-scale features in an ocean-sea ice coupled model is represented this paper through three aspects. Firstly, refined accelerates temperature and salinity drifts at a basin-averaged scale by facilitating exchanges among basins, subsequently reducing global-averaged drifts. This amplification basin-scale associated with accelerated circulation, leading to more rapid equilibration above 300 meters. Secondly, yields improved simulations temperature, salinity,...
Sterodynamic sea level (SdynSL) is an essential component of changes that climate models can simulate directly. Here we untangle the impact intermodel uncertainty, internal variability, and scenario uncertainty on SdynSL projections from Coupled Model Intercomparison Project Phase 6 (CMIP6) models. At global scale, (scenario) reigns before (after) ~2070, but variability negligible. regional largest contributor (50~100%), secondary (20~50%) in Indian Ocean tropical Pacific near term midterm....
Abstract. We present a new framework for global ocean–sea-ice model simulations based on phase 2 of the Ocean Model Intercomparison Project (OMIP-2), making use JRA55-do atmospheric dataset. motivate OMIP-2 over first OMIP (OMIP-1), previously referred to as Coordinated Ocean–ice Reference Experiments (CORE), via evaluation OMIP-1 and from eleven (11) state-of-the-science models. In evaluation, multi-model means are calculated separately overall performances assessed considering metrics...
Abstract A 61-year (1958–2018) global eddy-resolving dataset for phase 2 of the Ocean Model Intercomparison Project has been produced by version 3 Chinese Academy Science, State Key Laboratory Numerical Modeling Atmospheric Sciences and Geophysical Fluid Dynamics/Institute Physics (LASG/IAP) Climate system (CAS-LICOM3). The monthly a part surface daily data in this study can be accessed on Earth System Grid Federation (ESGF) node. Besides details model experiments, evolutions spatial...
Landscape preference emerges from the dynamic interaction between individuals and their environment plays a pivotal role in preservation enhancement of Chinese Grand Canal’s scenery. As vast linear heritage, employing conventional methods for analyzing landscape preferences can be resource-intensive terms both time labor. Amid rapid advancement Big Data Artificial Intelligence (AI), cognitive framework understanding has been developed, encompassing two primary aspects: characteristic...
Abstract Decision-makers need reliable projections of future sea level change for risk assessment. Untangling the sources uncertainty in will help narrow projection uncertainty. Here, we separate and quantify contributions internal variability, intermodel uncertainty, scenario to ensemble spread dynamic (DSL) at both basin regional scales using Coupled Model Intercomparison Project phase 6 (CMIP6) FGOALS-g3 large (LEN) data. For basin-mean DSL projections, is dominant contributor (>55%)...
Abstract. The ocean mixed layer is the interface between interior and atmosphere or sea ice, plays a key role in climate variability. It thus critical that numerical models used studies are capable of good representation layer, especially its depth. Here we evaluate depth (MLD) six pairs non-eddying (1° resolution) eddy-rich (up to 1/16°) from Ocean Model Intercomparison Project (OMIP), forced by common atmospheric state. For model validation, use an updated MLD dataset computed observations...