def get_parameters(args) -> Dict:
parameters = {}
# ======================
# Variable
# ======================
if args.variable == "gpp":
parameters["variable"] = ["gross_primary_productivity"]
elif args.variable == "rm":
parameters["variable"] = ["root_moisture"]
elif args.variable == "lst":
parameters["variable"] = ["land_surface_temperature"]
elif args.variable == "lai":
parameters["variable"] = ["leaf_area_index"]
elif args.variable == "precip":
parameters["variable"] = ["precipitation"]
else:
raise ValueError("Unrecognized variable")
# ======================
# Region
# ======================
if args.region == "spain":
parameters["region"] = get_spain()
elif args.region == "europe":
parameters["region"] = get_europe()
elif args.region == "world":
parameters["region"] = ["world"]
else:
raise ValueError("Unrecognized region")
# ======================
# Period
# ======================
if args.period == "2010":
parameters["period"] = TimePeriod(name="2010", start="Jan-2010", end="Dec-2010")
elif args.period == "2002_2010":
parameters["period"] = TimePeriod(
name="2002_2010", start="Jan-2002", end="Dec-2010"
)
parameters["spatial"] = args.spatial
parameters["temporal"] = args.temporal
parameters["subsample"] = args.subsample
return parameters
def get_parameters(args) -> Dict:
parameters = {}
# ======================
# Variable
# ======================
if args.variable == "gpp":
parameters["variable"] = ["gross_primary_productivity"]
elif args.variable == "rm":
parameters["variable"] = ["root_moisture"]
elif args.variable == "lst":
parameters["variable"] = ["land_surface_temperature"]
elif args.variable == "lai":
parameters["variable"] = ["leaf_area_index"]
elif args.variable == "precip":
parameters["variable"] = ["precipitation"]
else:
raise ValueError("Unrecognized variable")
# ======================
# Region
# ======================
if args.region == "spain":
parameters["region"] = [get_spain()]
elif args.region == "europe":
parameters["region"] = [get_europe()]
elif args.region == "world":
parameters["region"] = ["world"]
else:
raise ValueError("Unrecognized region")
# ======================
# Period
# ======================
if args.period == "2010":
parameters["period"] = [
TimePeriod(name="2010", start="Jan-2010", end="Dec-2010")
]
elif args.period == "2002_2010":
parameters["period"] = [
TimePeriod(name="2002_2010", start="Jan-2002", end="Dec-2010")
]
spatial_dimensions = [
2,
1, # 4 Dimensions
3,
2,
1, # 9 Dimensions
4,
3,
2,
1, # 16 total dimensions
5,
3,
2,
1, # 25 total dimensions
6,
4,
3,
2,
1, # 36 total dimensions
7,
5,
4,
3,
2,
1, # 49 total dimensions
]
temporal_dimensions = [
1,
4, # 4 dimensions
1,
2,
9, # 9 dimensions
1,
2,
4,
16, # 16 dimensions
1,
3,
6,
25, # 25 dimensions
1,
2,
4,
9,
36, # 36 dimensions
1,
2,
3,
5,
12,
46, # 49 dimensions
]
n_dimensions = [
4,
4, # 4 dimensions
9,
9,
9, # 9 dimensions
16,
16,
16,
16, # 16 dimensions
25,
25,
25,
25, # 25 dimensions
36,
36,
36,
36,
36, # 36 dimensions
49,
49,
49,
49,
49,
49, # 49 dimensions
]
parameters["dimensions"] = [
SPATEMP(i, j, k) for i, j, k in zip(spatial_dimensions,
temporal_dimensions, n_dimensions)
]
parameters = list(dict_product(parameters))
return parameters
def get_parameters(variable: str) -> Dict:
parameters = {}
if variable == "gpp":
parameters["variable"] = ["gross_primary_productivity"]
elif variable == "rm":
parameters["variable"] = ["root_moisture"]
elif variable == "sm":
parameters["variable"] = ["soil_moisture"]
elif variable == "lst":
parameters["variable"] = ["land_surface_temperature"]
elif variable == "precip":
parameters["variable"] = ["precipitation"]
elif variable == "wv":
parameters["variable"] = ["water_vapour"]
else:
raise ValueError("Unrecognized variable")
parameters["region"] = [get_spain()]
parameters["period"] = [
TimePeriod(name="201001_201012", start="Jan-2010", end="Dec-2010"),
]
# parameters["spatial"] = [1, 2, 3, 4, 5, 6]
# parameters["temporal"] = [1, 2, 3, 4, 5, 6]
spatial_dimensions = [
2,
1, # 4 Dimensions
3,
2,
1, # 9 Dimensions
4,
3,
2,
1, # 16 total dimensions
5,
3,
2,
1, # 25 total dimensions
6,
4,
3,
2,
1, # 36 total dimensions
7,
5,
4,
3,
2,
1, # 49 total dimensions
]
temporal_dimensions = [
1,
4, # 4 dimensions
1,
2,
9, # 9 dimensions
1,
2,
4,
16, # 16 dimensions
1,
3,
6,
25, # 25 dimensions
1,
2,
4,
9,
36, # 36 dimensions
1,
2,
3,
5,
12,
46, # 49 dimensions
]
n_dimensions = [
4,
4, # 4 dimensions
9,
9,
9, # 9 dimensions
16,
16,
16,
16, # 16 dimensions
25,
25,
25,
25, # 25 dimensions
36,
36,
36,
36,
36, # 36 dimensions
49,
49,
49,
49,
49,
46, # 49 dimensions
]
parameters["dimensions"] = [
SPATEMP(i, j, k) for i, j, k in zip(spatial_dimensions,
temporal_dimensions, n_dimensions)
]
parameters = list(dict_product(parameters))
return parameters