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,
)
processor_tasks = []
for variable in variables:
processor_tasks.extend(
get_processor_tasks_for_variable(
variable=variable,
datasets=datasets[variable["variable_group"]],
settings=deangelis_recipe.processor_settings[
variable["preprocessor"]],
diagnostic={"diagnostic": diagnostic_name},
config={"data_path": deangelis_config.data_path},
work_dir=work_dir,
))
for index, task in enumerate(processor_tasks):
logger.info(index)
run_processor(task, config={}, work_dir=work_dir)
def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case107/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
exp_datasets = eyring13_recipe.exp_datasets
variables = eyring13_recipe.variables
variable_additional_datasets = eyring13_recipe.variable_additional_datasets
# get all datasets
datasets = get_datasets(
datasets=exp_datasets,
variables=variables,
variable_additional_datasets=variable_additional_datasets)
processor_tasks = []
for variable in variables:
processor_tasks.extend(
get_tasks_for_variable(
variable=variable,
datasets=datasets[variable["variable_group"]],
diagnostic={"diagnostic": diagnostic_name},
config={"data_path": eyring13_config.data_path},
work_dir=work_dir,
))
for task in processor_tasks:
run_processor(task, config={}, work_dir=work_dir)
def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case108/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
# recipe
variables = bock20_recipe.fig2.variables
variable_additional_datasets = bock20_recipe.fig2.variable_additional_datasets
additional_datasets = bock20_recipe.fig2.additional_datasets
# get all datasets
datasets = get_datasets(
variables=variables,
variable_additional_datasets=variable_additional_datasets,
additional_datasets=additional_datasets
)
processor_tasks = []
for variable in variables:
processor_tasks.extend(
get_tasks_for_variable(
variable=variable,
config={
"data_path": bock20_config.data_path
},
work_dir=work_dir,
)
)
for task in processor_tasks:
run_processor(
task,
config={},
work_dir=work_dir
)
def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case108/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
# recipe
variables = bock20_recipe.fig3.variables
variable_additional_datasets = bock20_recipe.fig3.variable_additional_datasets
additional_datasets = bock20_recipe.fig3.additional_datasets
# get all datasets
datasets = get_datasets(
variables=variables,
variable_additional_datasets=variable_additional_datasets,
additional_datasets=additional_datasets)
processor_tasks = []
for variable in variables:
preprocessor = variable.get("preprocessor", "default")
settings = bock20_recipe.processor_settings.get(preprocessor, {})
processor_tasks.extend(
get_processor_tasks_for_variable(
variable=variable,
datasets=datasets[variable["variable_group"]],
settings=settings,
diagnostic={"diagnostic": diagnostic_name},
config={"data_path": bock20_config.data_path},
work_dir=work_dir))
for task in processor_tasks:
run_processor(task, config={}, work_dir=work_dir)
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 main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/land/case401/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
# recipe
variable_additional_datasets = landcover_recipe.cmip6.variable_additional_datasets
variables = landcover_recipe.cmip6.variables
# get all datasets
datasets = get_datasets(
variables=variables,
variable_additional_datasets=variable_additional_datasets)
processor_tasks = []
for variable in variables:
processor_tasks.extend(
get_processor_tasks_for_variable(
variable=variable,
datasets=datasets[variable["variable_group"]],
settings=landcover_recipe.processor_settings[
variable["preprocessor"]],
diagnostic={"diagnostic": diagnostic_name},
config={"data_path": landcover_config.data_path},
work_dir=work_dir))
for task in processor_tasks:
run_processor(task, config={}, work_dir=work_dir)
def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case110/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
exp_datasets = spei_recipe.exp_datasets
variables = spei_recipe.variables
datasets = get_datasets(
datasets=exp_datasets,
variables=variables,
)
processor_tasks = []
for variable in variables:
v_datasets = datasets[variable["variable_group"]]
settings = spei_recipe.processor_settings[variable["preprocessor"]]
if "multi_model_statistics" in settings:
statistics = settings["multi_model_statistics"]["statistics"]
for op in statistics:
v_datasets.append({
"alias": f"multi-model-{op}",
"variable_group": variable["variable_group"],
})
processor_tasks.extend(
get_tasks_for_variable(
variable=variable,
datasets=v_datasets,
diagnostic={"diagnostic": diagnostic_name},
config={"data_path": spei_config.data_path},
work_dir=work_dir,
))
for task in processor_tasks:
run_processor(task, config={}, work_dir=work_dir)
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 main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case108/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
# recipe
variables = bock20_recipe.fig3.variables
variable_additional_datasets = bock20_recipe.fig3.variable_additional_datasets
additional_datasets = bock20_recipe.fig3.additional_datasets
# get all datasets
datasets = get_datasets(
variables=variables,
variable_additional_datasets=variable_additional_datasets,
additional_datasets=additional_datasets
)
processor_tasks = []
for variable in variables:
v_datasets = datasets[variable["variable_group"]]
preprocessor = variable.get("preprocessor", "default")
settings = bock20_recipe.processor_settings.get(preprocessor, {})
if "multi_model_statistics" in settings:
statistics = settings["multi_model_statistics"]["statistics"]
for op in statistics:
v_datasets.append({
"alias": f"multi-model-{op}",
"variable_group": variable["variable_group"],
})
processor_tasks.extend(
get_tasks_for_variable(
variable=variable,
datasets=v_datasets,
diagnostic={
"diagnostic": diagnostic_name
},
config={
"data_path": bock20_config.data_path
},
work_dir=work_dir,
)
)
for task in processor_tasks:
run_processor(
task,
config={},
work_dir=work_dir
)
def main():
work_dir = "/home/hujk/ploto/esmvaltool/cases/case110/ploto"
Path(work_dir).mkdir(parents=True, exist_ok=True)
# recipe
exp_datasets = spei_recipe.exp_datasets
variables = spei_recipe.variables
# get all datasets
datasets = get_datasets(
datasets=exp_datasets,
variables=variables,
)
processor_tasks = []
for variable in variables:
processor_tasks.extend(
get_processor_tasks_for_variable(
variable=variable,
datasets=datasets[variable["variable_group"]],
settings=spei_recipe.processor_settings[variable["preprocessor"]],
diagnostic={
"diagnostic": diagnostic_name
},
config={
"data_path": spei_config.data_path
},
work_dir=work_dir
)
)
for task in processor_tasks:
run_processor(
task,
config={},
work_dir=work_dir
)
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)
