Exemplo n.º 1
0
 def func_solv(albedo):
     return toa_cor_o3 - sl.alb2rtoa(albedo, t1, t2, r0, ak1, ak2, ratm,
                                     r)
Exemplo n.º 2
0
Arquivo: sice.py Projeto: whigg/SICE
 def func_solv(albedo):
     return toa_cor_o3 - sl.alb2rtoa(albedo, tau, g, p, amf, am1, am2, r0,
                                     ak1, ak2)
Exemplo n.º 3
0
area[D < D_thresh] = np.nan
al[D < D_thresh] = np.nan
r0[D < D_thresh] = np.nan
bal[D < D_thresh] = np.nan
cos_sza[D < D_thresh] = np.nan
cos_vza[D < D_thresh] = np.nan
#D[D<D_thresh] = np.nan

# =========== clean snow  ====================================
# for that we calculate the theoretical reflectance at band 1 of a surface with:
# r0 = 1, a (albedo) = 1, ak1 = 1, ak2 = 1
# t1 and t2 are the backscattering fraction
t1, t2, ratm, r, astra, rms = sl.prepare_coef(tau, g, p, cos_sza, cos_vza,
                                              inv_cos_za, gaer, taumol, tauaer)
rs_1 = sl.alb2rtoa(1, t1[0, :, :], t2[0, :, :], np.ones_like(r0),
                   np.ones_like(ak1), np.ones_like(ak2), ratm[0, :, :],
                   r[0, :, :])

# we then compare it to the observed toa[0] value
ind_clean = toa_cor_o3[0, :, :] >= rs_1
isnow[ind_clean] = 0


# STEP 4a: clean snow retrieval
# the spherical albedo derivation: alb_sph
def mult_channel(c, A):
    tmp = A.T * c
    return tmp.T


alb_sph = np.exp(-np.sqrt(1000. * 4. * np.pi *
Exemplo n.º 4
0
Arquivo: sice.py Projeto: whigg/SICE
isnow[D < D_thresh] = 104

for i in range(21):
    toa_cor_o3[i, D < D_thresh] = np.nan
area[D < D_thresh] = np.nan
al[D < D_thresh] = np.nan
r0[D < D_thresh] = np.nan
bal[D < D_thresh] = np.nan
am1[D < D_thresh] = np.nan
am2[D < D_thresh] = np.nan
D[D < D_thresh] = np.nan

# =========== clean snow  ====================================
# for that we calculate the theoretical reflectance at band 1 of a surface with:
# r0 = 1, a (albedo) = 1, ak1 = 1, ak2 = 1
rs_1 = sl.alb2rtoa(1, tau[0, :, :], g[0, :, :], p[0, :, :], amf, am1, am2, 1,
                   1, 1)

# we then compare it to the observed toa[0] value
ind_clean = toa_cor_o3[0, :, :] >= rs_1
isnow[ind_clean] = 0

# STEP 4a: clean snow retrieval
alpha = 4. * np.pi * bai / w
absor = g * np.nan

# the spherical albedo derivation: alb_sph
al_clean = al
al_clean[isnow != 0] = np.nan
for i_channel in range(21):
    absor[i_channel, :, :] = 1000. * alpha[i_channel] * al_clean
    alb_sph[i_channel, :, :] = np.exp(-np.sqrt(absor[i_channel, :, :]))