def get_mb(self, heights, year=None):
"""Returns the mass-balance at given altitudes
for a given moment in time."""
y, m = utils.year_to_date(year)
pok = np.where((self.years == y) & (self.months == m))[0][0]
# Read timeseries
itemp = self.temp[pok]
iprcp = self.prcp[pok]
igrad = self.grad[pok]
# For each height pixel:
# Compute temp and tempformelt (temperature above melting threshold)
npix = len(heights)
grad_temp = igrad * (heights - self.ref_hgt)
temp = np.ones(npix) * itemp + grad_temp
tempformelt = temp - self.temp_melt
tempformelt = np.clip(tempformelt, 0, tempformelt.max())
# Compute solid precipitation from total precipitation
prcpsol = np.ones(npix) * iprcp
fac = 1 - (temp - self.temp_all_solid) / \
(self.temp_all_liq - self.temp_all_solid)
prcpsol *= np.clip(fac, 0, 1)
mb_month = prcpsol - self.mu_star * tempformelt
return mb_month / SEC_IN_MONTHS[m-1] / cfg.RHO
def get_monthly_mb(self, heights, year=None):
y, m = utils.year_to_date(year)
pok = np.where((self.years == y) & (self.months == m))[0][0]
# Read timeseries
itemp = self.temp[pok] + self.temp_bias
iprcp = self.prcp[pok]
igrad = self.grad[pok]
# For each height pixel:
# Compute temp and tempformelt (temperature above melting threshold)
npix = len(heights)
temp = np.ones(npix) * itemp + igrad * (heights - self.ref_hgt)
tempformelt = temp - self.t_melt
tempformelt[:] = np.clip(tempformelt, 0, tempformelt.max())
# Compute solid precipitation from total precipitation
prcpsol = np.ones(npix) * iprcp
fac = 1 - (temp - self.t_solid) / (self.t_liq - self.t_solid)
prcpsol *= np.clip(fac, 0, 1)
mb_month = prcpsol - self.mu_star * tempformelt - \
self.bias * SEC_IN_MONTHS[m-1] / SEC_IN_YEAR
return mb_month / SEC_IN_MONTHS[m - 1] / cfg.RHO
def get_mb(self, heights, year=None):
"""Returns the mass-balance at given altitudes
for a given moment in time."""
y, m = utils.year_to_date(year)
pok = np.where((self.years == y) & (self.months == m))[0][0]
# Read timeseries
itemp = self.temp[pok]
iprcp = self.prcp[pok]
igrad = self.grad[pok]
# For each height pixel:
# Compute temp and tempformelt (temperature above melting threshold)
npix = len(heights)
grad_temp = igrad * (heights - self.ref_hgt)
temp = np.ones(npix) * itemp + grad_temp
tempformelt = temp - self.temp_melt
tempformelt = np.clip(tempformelt, 0, tempformelt.max())
# Compute solid precipitation from total precipitation
prcpsol = np.ones(npix) * iprcp
fac = 1 - (temp - self.temp_all_solid) / \
(self.temp_all_liq - self.temp_all_solid)
prcpsol *= np.clip(fac, 0, 1)
mb_month = prcpsol - self.mu_star * tempformelt
return mb_month / SEC_IN_MONTHS[m - 1] / cfg.RHO
def get_monthly_mb(self, heights, year=None):
y, m = utils.year_to_date(year)
pok = np.where((self.years == y) & (self.months == m))[0][0]
# Read timeseries
itemp = self.temp[pok] + self.temp_bias
iprcp = self.prcp[pok]
igrad = self.grad[pok]
# For each height pixel:
# Compute temp and tempformelt (temperature above melting threshold)
npix = len(heights)
temp = np.ones(npix) * itemp + igrad * (heights - self.ref_hgt)
tempformelt = temp - self.t_melt
tempformelt[:] = np.clip(tempformelt, 0, tempformelt.max())
# Compute solid precipitation from total precipitation
prcpsol = np.ones(npix) * iprcp
fac = 1 - (temp - self.t_solid) / (self.t_liq - self.t_solid)
prcpsol *= np.clip(fac, 0, 1)
mb_month = prcpsol - self.mu_star * tempformelt - \
self.bias * SEC_IN_MONTHS[m-1] / SEC_IN_YEAR
return mb_month / SEC_IN_MONTHS[m-1] / cfg.RHO
def test_date_to_year(self):
r = utils.date_to_year(0, 1)
self.assertEqual(r, 0)
r = utils.date_to_year(1, 1)
self.assertEqual(r, 1)
r = utils.date_to_year([0, 1], [1, 1])
np.testing.assert_array_equal(r, [0, 1])
yr = utils.date_to_year([1998, 1998], [6, 7])
y, m = utils.year_to_date(yr)
np.testing.assert_array_equal(y, [1998, 1998])
np.testing.assert_array_equal(m, [6, 7])
yr = utils.date_to_year([1998, 1998], [2, 3])
y, m = utils.year_to_date(yr)
np.testing.assert_array_equal(y, [1998, 1998])
np.testing.assert_array_equal(m, [2, 3])
time = pd.date_range('1/1/1800', periods=300*12, freq='MS')
yr = utils.date_to_year(time.year, time.month)
y, m = utils.year_to_date(yr)
np.testing.assert_array_equal(y, time.year)
np.testing.assert_array_equal(m, time.month)
myr = utils.monthly_timeseries(1800, 2099)
y, m = utils.year_to_date(myr)
np.testing.assert_array_equal(y, time.year)
np.testing.assert_array_equal(m, time.month)
myr = utils.monthly_timeseries(1800, ny=300)
y, m = utils.year_to_date(myr)
np.testing.assert_array_equal(y, time.year)
np.testing.assert_array_equal(m, time.month)
with self.assertRaises(ValueError):
utils.monthly_timeseries(1)
def test_year_to_date(self):
r = utils.year_to_date(0)
self.assertEqual(r, (0, 1))
y, m = utils.year_to_date([0, 1])
np.testing.assert_array_equal(y, [0, 1])
np.testing.assert_array_equal(m, [1, 1])
y, m = utils.year_to_date([0.00001, 1.00001])
np.testing.assert_array_equal(y, [0, 1])
np.testing.assert_array_equal(m, [1, 1])
y, m = utils.year_to_date([0.99999, 1.99999])
np.testing.assert_array_equal(y, [0, 1])
np.testing.assert_array_equal(m, [12, 12])
yr = 1998 + cfg.CUMSEC_IN_MONTHS[2] / cfg.SEC_IN_YEAR
r = utils.year_to_date(yr)
self.assertEqual(r, (1998, 4))
yr = 1998 + (cfg.CUMSEC_IN_MONTHS[2] - 1) / cfg.SEC_IN_YEAR
r = utils.year_to_date(yr)
self.assertEqual(r, (1998, 3))
def get_monthly_mb(self, heights, year=None):
ryr, m = utils.year_to_date(year)
ryr = utils.date_to_year(self.get_state_yr(ryr), m)
return self.mbmod.get_monthly_mb(heights, year=ryr)
def get_monthly_mb(self, heights, year=None):
yr, m = utils.year_to_date(year)
return self.interp_m[m - 1](heights)
def get_monthly_mb(self, heights, year=None):
ryr, m = utils.year_to_date(year)
ryr = utils.date_to_year(self.get_state_yr(ryr), m)
return self.mbmod.get_monthly_mb(heights, year=ryr)
def get_monthly_mb(self, heights, year=None):
yr, m = utils.year_to_date(year)
return self.interp_m[m-1](heights)
