conf/config.yaml

model:

    start_epoch: 0
    max_epoch: 1
    lr: 1E-3
    num_blocks: 8
    patch_size: [4, 4]
    embed_dim: 192
    num_heads: [6, 12, 12, 6]
    window_size: [2, 6, 12]
    pressure_level: 37
    checkpoint_dir: "./data/checkpoints"
    patience: 50

 # 整个数据读取流程
datapipe:
  name: "ERA5"
  task: "weather_forecasting"

  # dataset设定
  dataset:
    type: "hdf5"
    data_dir: './data/' # "$ONESCIENCE_DATASETS_DIR/ERA5/newh5/" 
    
    train_time: [2000, 2001]
    val_time: [2002]
    test_time: [2003]
    img_size: [721, 1440]
    verbose: true
    cache: false
    # 气象变量

    channels:  ['10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'mean_sea_level_pressure', 
    
                'geopotential_1', 'geopotential_2', 'geopotential_3', 'geopotential_5', 'geopotential_7', 
                'geopotential_10', 'geopotential_20', 'geopotential_30', 'geopotential_50', 'geopotential_70', 
                'geopotential_100', 'geopotential_125', 'geopotential_150', 'geopotential_175', 'geopotential_200', 
                'geopotential_225', 'geopotential_250', 'geopotential_300', 'geopotential_350', 'geopotential_400', 
                'geopotential_450', 'geopotential_500', 'geopotential_550', 'geopotential_600', 'geopotential_650', 
                'geopotential_700', 'geopotential_750', 'geopotential_775', 'geopotential_800', 'geopotential_825', 
                'geopotential_850', 'geopotential_875', 'geopotential_900', 'geopotential_925', 'geopotential_950', 
                'geopotential_975', 'geopotential_1000',

                'relative_humidity_1', 'relative_humidity_2', 'relative_humidity_3', 'relative_humidity_5', 'relative_humidity_7', 
                'relative_humidity_10', 'relative_humidity_20', 'relative_humidity_30', 'relative_humidity_50', 'relative_humidity_70', 
                'relative_humidity_100', 'relative_humidity_125', 'relative_humidity_150', 'relative_humidity_175', 'relative_humidity_200', 
                'relative_humidity_225', 'relative_humidity_250', 'relative_humidity_300', 'relative_humidity_350', 'relative_humidity_400', 
                'relative_humidity_450', 'relative_humidity_500', 'relative_humidity_550', 'relative_humidity_600', 'relative_humidity_650', 
                'relative_humidity_700', 'relative_humidity_750', 'relative_humidity_775', 'relative_humidity_800', 'relative_humidity_825', 
                'relative_humidity_850', 'relative_humidity_875', 'relative_humidity_900', 'relative_humidity_925', 'relative_humidity_950', 
                'relative_humidity_975', 'relative_humidity_1000',

                'u_component_of_wind_1', 'u_component_of_wind_2', 'u_component_of_wind_3', 'u_component_of_wind_5', 'u_component_of_wind_7', 
                'u_component_of_wind_10', 'u_component_of_wind_20', 'u_component_of_wind_30', 'u_component_of_wind_50', 'u_component_of_wind_70', 
                'u_component_of_wind_100', 'u_component_of_wind_125', 'u_component_of_wind_150', 'u_component_of_wind_175', 'u_component_of_wind_200', 
                'u_component_of_wind_225', 'u_component_of_wind_250', 'u_component_of_wind_300', 'u_component_of_wind_350', 'u_component_of_wind_400', 
                'u_component_of_wind_450', 'u_component_of_wind_500', 'u_component_of_wind_550', 'u_component_of_wind_600', 'u_component_of_wind_650', 
                'u_component_of_wind_700', 'u_component_of_wind_750', 'u_component_of_wind_775', 'u_component_of_wind_800', 'u_component_of_wind_825', 
                'u_component_of_wind_850', 'u_component_of_wind_875', 'u_component_of_wind_900', 'u_component_of_wind_925', 'u_component_of_wind_950', 
                'u_component_of_wind_975', 'u_component_of_wind_1000',

                'v_component_of_wind_1', 'v_component_of_wind_2', 'v_component_of_wind_3', 'v_component_of_wind_5', 'v_component_of_wind_7', 
                'v_component_of_wind_10', 'v_component_of_wind_20', 'v_component_of_wind_30', 'v_component_of_wind_50', 'v_component_of_wind_70', 
                'v_component_of_wind_100', 'v_component_of_wind_125', 'v_component_of_wind_150', 'v_component_of_wind_175', 'v_component_of_wind_200', 
                'v_component_of_wind_225', 'v_component_of_wind_250', 'v_component_of_wind_300', 'v_component_of_wind_350', 'v_component_of_wind_400', 
                'v_component_of_wind_450', 'v_component_of_wind_500', 'v_component_of_wind_550', 'v_component_of_wind_600', 'v_component_of_wind_650', 
                'v_component_of_wind_700', 'v_component_of_wind_750', 'v_component_of_wind_775', 'v_component_of_wind_800', 'v_component_of_wind_825', 
                'v_component_of_wind_850', 'v_component_of_wind_875', 'v_component_of_wind_900', 'v_component_of_wind_925', 'v_component_of_wind_950', 
                'v_component_of_wind_975', 'v_component_of_wind_1000',

                'temperature_1', 'temperature_2', 'temperature_3', 'temperature_5', 'temperature_7', 
                'temperature_10', 'temperature_20', 'temperature_30', 'temperature_50', 'temperature_70', 
                'temperature_100', 'temperature_125', 'temperature_150', 'temperature_175', 'temperature_200', 
                'temperature_225', 'temperature_250', 'temperature_300', 'temperature_350', 'temperature_400', 
                'temperature_450', 'temperature_500', 'temperature_550', 'temperature_600', 'temperature_650', 
                'temperature_700', 'temperature_750', 'temperature_775', 'temperature_800', 'temperature_825', 
                'temperature_850', 'temperature_875', 'temperature_900', 'temperature_925', 'temperature_950', 
                'temperature_975', 'temperature_1000',
                ]

    variables:
      - "u10"        # 10m U wind component
      - "v10"        # 10m V wind component
      - "t2m"        # 2m temperature
      - "msl"        # Mean sea level pressure
      - "z500"       # Geopotential at 500 hPa
      - "t850"       # Temperature at 850 hPa
    
    # 时间配置
    time_range: ["2000-01-01", "2020-12-31"]
    time_steps: 1
    time_res: 6
    
    # 空间配置
    spatial_resolution: [0.25, 0.25]
    
    # 采样配置
    num_samples: -1  # -1 表示使用全部数据
    shuffle: true
    random_seed: 42
    
    # 领域特定配置
    extra:
      levels: [500, 850, 1000]
      lat_range: [-90, 90]
      lon_range: [0, 360]
  
  # 数据转换配置
  transforms:
    - type: "Normalize"
      params:
        mean: [0.0, 0.0, 288.0, 101325.0, 50000.0, 270.0]
        std: [5.0, 5.0, 15.0, 1000.0, 5000.0, 10.0]
        keys: ["input", "target"]
    
    - type: "ToTensor"
      params:
        keys: null  # null表示转换所有numpy数组
  
  # 其他配置


  # DataLoader配置
  dataloader:
    mask_dtype: "float32"
    batch_size: 1
    num_workers: 1
    pin_memory: true
    drop_last: true
    shuffle: false  # 使用sampler时设为false
    prefetch_factor: 2
    persistent_workers: true
  
  # 分布式配置
  distributed:
    enabled: true
    sampler: "DistributedSampler"
    rank: 0
    world_size: 4
    shuffle: true
    seed: 42
    drop_last: true