def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case108/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
# recipe
exp_datasets = bock20_recipe.fig1.exp_datasets
variables = bock20_recipe.fig1.variables
variable_additional_datasets = bock20_recipe.fig1.variable_additional_datasets
# get all datasets
datasets = get_datasets(
datasets=exp_datasets,
variables=variables,
variable_additional_datasets=variable_additional_datasets)
# generate fetcher tasks
fetcher_tasks = []
for variable in variables:
fetcher_tasks.extend(
get_tasks_for_variable(
datasets=datasets[variable["variable_group"]],
work_dir=work_dir))
# run fetcher tasks
for task in fetcher_tasks:
get_data(task, config={}, work_dir=work_dir)
def run(exp_dataset, variable):
work_dir = "/home/hujk/ploto/esmvaltool/cases/case105/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
variable = combine_variable(
variable=variable,
dataset=exp_dataset,
)
add_variable_info(variable)
data_path = climwip_config.data_path
task = {
"products": [{
"variable": variable,
"output": {
"output_directory": "{dataset}/{variable_group}",
"output_data_source_file": "data_source.yml",
}
}],
"output": {
"output_directory":
"{work_dir}" + f"/{diagnostic_name}/fetcher/preproc",
},
"config": {
"data_path": data_path,
},
}
config = {}
get_data(task=task, work_dir=work_dir, config=config)
def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case106/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
exp_datasets = deangelis_recipe.f2ext.exp_datasets
variables = deangelis_recipe.f2ext.variables
# get all datasets
datasets = get_datasets(
datasets=exp_datasets,
variables=variables,
)
# generate fetcher tasks
fetcher_tasks = []
for variable in variables:
fetcher_tasks.extend(
get_tasks_for_variable(
datasets=datasets[variable["variable_group"]],
diagnostic={"diagnostic": diagnostic_name},
config={"data_path": deangelis_config.data_path},
work_dir=work_dir))
for task in fetcher_tasks:
get_data(task, config={}, work_dir=work_dir)
def run(exp_dataset, variable):
work_dir = "/home/hujk/ploto/esmvaltool/cases/case102/ploto"
combined_variable = {**exp_dataset, **variable}
add_variable_info(combined_variable)
data_path = diurnal_config.data_path
task = {
"products": [{
"variable": combined_variable,
"output": {
"output_directory": "{alias}/{variable_group}",
"output_data_source_file": "data_source.yml",
}
}],
"config": {
"data_path": data_path,
},
"output": {
"output_directory": "{work_dir}/fetcher/preproc",
}
}
config = {}
get_data(task=task, work_dir=work_dir, config=config)
def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/future/case301/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
# recipe
variable_additional_datasets = kcs_recipe.global_warming.variable_additional_datasets
variables = kcs_recipe.global_warming.variables
# get all datasets
datasets = get_datasets(
variables=variables,
variable_additional_datasets=variable_additional_datasets)
# generate fetcher tasks
fetcher_tasks = []
for variable in variables:
fetcher_tasks.extend(
get_tasks_for_variable(
datasets=datasets[variable["variable_group"]],
work_dir=work_dir))
# run fetcher tasks
for task in fetcher_tasks:
get_data(task, config={}, work_dir=work_dir)