diff --git a/.buildinfo b/.buildinfo new file mode 100644 index 0000000..d803b72 --- /dev/null +++ b/.buildinfo @@ -0,0 +1,4 @@ +# Sphinx build info version 1 +# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. +config: ce73ab2de3e075e32c3245c5dac8cc3c +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 0000000..e69de29 diff --git a/_farms/farms.disc.disc.html b/_farms/farms.disc.disc.html new file mode 100644 index 0000000..8716bd0 --- /dev/null +++ b/_farms/farms.disc.disc.html @@ -0,0 +1,178 @@ + + + + + + + farms.disc.disc — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.disc.disc

+
+
+farms.disc.disc(ghi, sza, doy, pressure=1013.25, sza_lim=87)[source]
+

Estimate DNI from GHI using the DISC model.

+

*Warning: should only be used for cloudy FARMS data.

+

The DISC algorithm converts global horizontal irradiance to direct +normal irradiance through empirical relationships between the global +and direct clearness indices.

+
+
Parameters:
+
    +

  • ghi (np.ndarray) – Global horizontal irradiance in W/m2.

    • +

  • sza (np.ndarray) – Solar zenith angle in degrees.

    • +

  • doy (np.ndarray) – Day of year (array of integers).

    • +

  • pressure (np.ndarray) – Pressure in mbar (same as hPa).

    • +

  • sza_lim (float | int) – Upper limit for solar zenith angle in degrees. SZA values greater than +this will be truncated at this value. 87 deg chosen to simulate the +FORTRAN code in use by SRRL (from Perez).

    • +
+
+
Returns:
+

DNI (np.ndarray) – Estimated direct normal irradiance in W/m2.

+
+
+
+ +
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.disc.html b/_farms/farms.disc.html new file mode 100644 index 0000000..ed4f686 --- /dev/null +++ b/_farms/farms.disc.html @@ -0,0 +1,171 @@ + + + + + + + farms.disc — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.disc

+

Created on Wed Jun 25 13:26:21 2014

+

@author: alopez, aweekley

+

These are functions adapted from PVL_Python. +There were four main changes from the original code

+
+
    +

  1. functions were vectorized

    2. +

  2. pvl_ephemeris expects UTC time

    3. +

  3. removed unused result calculations

    4. +

  4. Water and Pressure were changed to vectors from scalers

    5. +
+
+

Functions

+ + + + + + +

disc(ghi, sza, doy[, pressure, sza_lim])

Estimate DNI from GHI using the DISC model.

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.farms_dni.Pice.html b/_farms/farms.farms_dni.Pice.html new file mode 100644 index 0000000..162412f --- /dev/null +++ b/_farms/farms.farms_dni.Pice.html @@ -0,0 +1,177 @@ + + + + + + + farms.farms_dni.Pice — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.farms_dni.Pice

+
+
+farms.farms_dni.Pice(Z, tau, De)[source]
+

Compute cloud transmittance for ice clouds +The defination and use of the transmittance can be found in

+
+

Xie et al. (2020)

+
+

The cloud transmittance is parameterized by Yang et al. (2022)

+

All arrays should have the same shape (n_times) or +(n_times, n_lats, n_lons)

+
+
Parameters:
+
    +

  • Z (np.ndarray) – solar zenith angle (degree).

    • +

  • tau (np.ndarray) – Cloud optical thickness (cld_opd_dcomp) (unitless).

    • +

  • De (np.ndarray) – Effective cloud particle size (diameter, micron).

    • +
+
+
Returns:
+

Tddcld (np.ndarray) – Cloud transmittance of DNI for the cloud

+
+
+
+ +
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.farms_dni.Pwater.html b/_farms/farms.farms_dni.Pwater.html new file mode 100644 index 0000000..0680a4b --- /dev/null +++ b/_farms/farms.farms_dni.Pwater.html @@ -0,0 +1,177 @@ + + + + + + + farms.farms_dni.Pwater — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.farms_dni.Pwater

+
+
+farms.farms_dni.Pwater(Z, tau, De)[source]
+

Compute cloud transmittance for water clouds +The defination and use of the transmittance can be found in

+
+

Xie et al. (2020)

+
+

The cloud transmittance is parameterized by Yang et al. (2022)

+

All arrays should have the same shape (n_times) or +(n_times, n_lats, n_lons)

+
+
Parameters:
+
    +

  • Z (np.ndarray) – solar zenith angle (degree).

    • +

  • tau (np.ndarray) – Cloud optical thickness (cld_opd_dcomp) (unitless).

    • +

  • De (np.ndarray) – Effective cloud particle size (diameter, micron).

    • +
+
+
Returns:
+

Tddcld (np.ndarray) – Cloud transmittance of DNI for the cloud

+
+
+
+ +
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.farms_dni.TDD2.html b/_farms/farms.farms_dni.TDD2.html new file mode 100644 index 0000000..37a212e --- /dev/null +++ b/_farms/farms.farms_dni.TDD2.html @@ -0,0 +1,175 @@ + + + + + + + farms.farms_dni.TDD2 — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.farms_dni.TDD2

+
+
+farms.farms_dni.TDD2(Z, Ftotal, F1)[source]
+

Compute surface reflection that falls in the circumsolar region. +A parameterization of Eq. (S4) in Xie et al (2020) is used.

+

All arrays should have the same shape (n_times) or +(n_times, n_lats, n_lons)

+
+
Parameters:
+
    +

  • Z (np.ndarray) – solar zenith angle (degree).

    • +

  • Ftotal (np.ndarray) – GHI (Wm-2)

    • +

  • F1 (np.ndarray) – First order solar radiation given in FARMS (Wm-2). +See Xie et al. (2016) for more details.

    • +
+
+
Returns:
+

Fd2 (np.ndarray) – Direct radiation caused by the reflection between +surface and cloud (Wm-2).

+
+
+
+ +
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.farms_dni.TDDP.html b/_farms/farms.farms_dni.TDDP.html new file mode 100644 index 0000000..52ae67d --- /dev/null +++ b/_farms/farms.farms_dni.TDDP.html @@ -0,0 +1,177 @@ + + + + + + + farms.farms_dni.TDDP — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.farms_dni.TDDP

+
+
+farms.farms_dni.TDDP(Z, tau, De, phase1, phase2)[source]
+

Compute cloud transmittance of DNI for water and ice clouds +More details can be found in Xie et al. (2020)

+

All arrays should have the same shape (n_times) or +(n_times, n_lats, n_lons)

+
+
Parameters:
+
    +

  • Z (np.ndarray) – solar zenith angle (degree).

    • +

  • tau (np.ndarray) – Cloud optical thickness (cld_opd_dcomp) (unitless).

    • +

  • De (np.ndarray) – Effective cloud particle size (diameter, micron).

    • +

  • phase1 (np.ndarray) – np.where( phase==1 ) +phase is cloud thermodynamic phase (water:1, ice:2)

    • +

  • phase2 (np.ndarray) – np.where( phase==2 ) +phase is cloud thermodynamic phase (water:1, ice:2)

    • +
+
+
Returns:
+

Tddcld (np.ndarray) – Cloud transmittance of DNI for the cloud

+
+
+
+ +
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.farms_dni.farms_dni.html b/_farms/farms.farms_dni.farms_dni.html new file mode 100644 index 0000000..ab22d44 --- /dev/null +++ b/_farms/farms.farms_dni.farms_dni.html @@ -0,0 +1,209 @@ + + + + + + + farms.farms_dni.farms_dni — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.farms_dni.farms_dni

+
+
+farms.farms_dni.farms_dni(F0, tau, solar_zenith_angle, De, phase, phase1, phase2, Tddclr, Ftotal, F1)[source]
+

Fast All-sky Radiation Model for solar applications with direct normal +irradiance (FARMS-DNI)

+

References

+

Xie, Y., Sengupta, M., Dudhia, J., 2016. A Fast All-sky Radiation Model +for Solar applications (FARMS): Algorithm and performance evaluation. +Sol. Energy 135, 435-445. +Xie, Y., Sengupta, M., Liu, Y., Long, H., Min, Q., Liu, W., Habte, A.,

+
+
    +

  1. A physics-based DNI model assessing all-sky circumsolar radiation.

    2. +
+
+

iScience 22, doi.org/10.1016/j.isci.2020.100893. +Yang, J., Xie, Y., Sengupta, M., Liu, Y., Long, H., 2022. Parameterization +of cloud transmittance for expeditious assessment and forecasting of +all-sky DNI. J. Renewable Sustainable Energy 14, 063703.

+

All arrays should have the same shape (n_times) or +(n_times, n_lats, n_lons)

+
+
Parameters:
+
    +

  • F0 (np.ndarray) – extraterrestrial solar radiation (Wm-2).

    • +

  • tau (np.ndarray) – Cloud optical thickness (cld_opd_dcomp) (unitless).

    • +

  • solar_zenith_angle (np.ndarray) – Solar zenith angle (degrees). Must represent the average value over the +integration period (e.g. hourly) under scrutiny.

    • +

  • De (np.ndarray) – Effective cloud particle size (diameter, micron).

    • +

  • phase (np.ndarray) – Cloud thermodynamic phase (water:1, ice:2)

    • +

  • phase1 (np.ndarray) – np.where( phase==1 )

    • +

  • phase2 (np.ndarray) – np.where( phase==2 )

    • +

  • Tddclr (np.ndarray) – Calculated in REST2. Transmittance of the clear-sky atmosphere for +direct incident and direct outgoing fluxes (dd). +Tddclr = dni / etdirn

    • +

  • Ftotal (np.ndarray) – GHI (Wm-2)

    • +

  • F1 (np.ndarray) – First order solar radiation given in FARMS (Wm-2). +See Xie et al. (2016) for more details.

    • +
+
+
Returns:
+

    +

  • Fd (np.ndarray) – Direct radiation in the downwelling direction (Wm-2). It includes the +narrow beam and the scattered radiation in the circumsolar region.

    • +

  • dni_farmsdni (np.ndarray) – DNI computed by FARMS-DNI (Wm-2).

    • +

  • dni0 (np.ndarray) –

    +
    +
    DNI computed by the Lambert law (Wm-2). It only includes the narrow

    beam in the circumsolar region.

    +
    +
    +
    • +
+

+
+
+
+ +
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.farms_dni.html b/_farms/farms.farms_dni.html new file mode 100644 index 0000000..7c80e5d --- /dev/null +++ b/_farms/farms.farms_dni.html @@ -0,0 +1,192 @@ + + + + + + + farms.farms_dni — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.farms_dni

+

This model updates the computation of DNI used for FARMS. +The orignal FARMS use DISC model to compute cloudy-sky DNI. +This new model uses a physics-based algorithm to solve the direct +and scattered beam in the circumsolar region.

+

Created on March 1, 2022 +Upgraded on March 21, 2023 +FARMS-DNI model developed by Yu Xie (yu.xie@nrel.gov)

+

References

+

Xie, Y., Sengupta, M., Dudhia, J., 2016. A Fast All-sky Radiation Model for +Solar applications (FARMS): Algorithm and performance evaluation. Sol. Energy

+
+

135, 435-445.

+
+

Xie, Y., Sengupta, M., Liu, Y., Long, H., Min, Q., Liu, W., Habte, A., 2020. +A physics-based DNI model assessing all-sky circumsolar radiation. iScience 22,

+
+

doi.org/10.1016/j.isci.2020.100893.

+
+

Yang, J., Xie, Y., Sengupta, M., Liu, Y., Long, H., 2022. Parameterization of +cloud transmittance for expeditious assessment and forecasting of all-sky DNI. +J. Renewable Sustainable Energy 14, 063703.

+

Functions

+ + + + + + + + + + + + + + + + + + +

Pice(Z, tau, De)

Compute cloud transmittance for ice clouds The defination and use of the transmittance can be found in Xie et al. (2020) The cloud transmittance is parameterized by Yang et al. (2022).

Pwater(Z, tau, De)

Compute cloud transmittance for water clouds The defination and use of the transmittance can be found in Xie et al. (2020) The cloud transmittance is parameterized by Yang et al. (2022).

TDD2(Z, Ftotal, F1)

Compute surface reflection that falls in the circumsolar region.

TDDP(Z, tau, De, phase1, phase2)

Compute cloud transmittance of DNI for water and ice clouds More details can be found in Xie et al. (2020).

farms_dni(F0, tau, solar_zenith_angle, De, ...)

Fast All-sky Radiation Model for solar applications with direct normal irradiance (FARMS-DNI)

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.html b/_farms/farms.html new file mode 100644 index 0000000..c445762 --- /dev/null +++ b/_farms/farms.html @@ -0,0 +1,165 @@ + + + + + + + farms — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms

+

FARMS package

+

Modules

+ + + + + + + + + + + + +

farms.disc

Created on Wed Jun 25 13:26:21 2014

farms.farms_dni

This model updates the computation of DNI used for FARMS.

farms.version

FARMS version number

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_farms/farms.version.html b/_farms/farms.version.html new file mode 100644 index 0000000..2960cff --- /dev/null +++ b/_farms/farms.version.html @@ -0,0 +1,150 @@ + + + + + + + farms.version — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.version

+

FARMS version number

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_modules/farms/disc.html b/_modules/farms/disc.html new file mode 100644 index 0000000..efc1665 --- /dev/null +++ b/_modules/farms/disc.html @@ -0,0 +1,247 @@ + + + + + + farms.disc — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +

Source code for farms.disc

+# -*- coding: utf-8 -*-
+"""
+Created on Wed Jun 25 13:26:21 2014
+
+@author: alopez, aweekley
+
+These are functions adapted from PVL_Python.
+There were four main changes from the original code
+    1) functions were vectorized
+    2) pvl_ephemeris expects UTC time
+    3) removed unused result calculations
+    4) Water and Pressure were changed to vectors from scalers
+"""
+import numpy as np
+
+from farms import SOLAR_CONSTANT
+
+
+

+[docs]
+def disc(ghi, sza, doy, pressure=1013.25, sza_lim=87):
+    """Estimate DNI from GHI using the DISC model.
+
+    *Warning: should only be used for cloudy FARMS data.
+
+    The DISC algorithm converts global horizontal irradiance to direct
+    normal irradiance through empirical relationships between the global
+    and direct clearness indices.
+
+    Parameters
+    ----------
+    ghi : np.ndarray
+        Global horizontal irradiance in W/m2.
+    sza : np.ndarray
+        Solar zenith angle in degrees.
+    doy : np.ndarray
+        Day of year (array of integers).
+    pressure : np.ndarray
+        Pressure in mbar (same as hPa).
+    sza_lim : float | int
+        Upper limit for solar zenith angle in degrees. SZA values greater than
+        this will be truncated at this value. 87 deg chosen to simulate the
+        FORTRAN code in use by SRRL (from Perez).
+
+    Returns
+    -------
+    DNI : np.ndarray
+        Estimated direct normal irradiance in W/m2.
+    """
+
+    A = np.zeros_like(ghi)
+    B = np.zeros_like(ghi)
+    C = np.zeros_like(ghi)
+
+    day_angle = 2. * np.pi * (doy - 1) / 365
+
+    re_var = (1.00011 + 0.034221 * np.cos(day_angle)
+              + 0.00128 * np.sin(day_angle)
+              + 0.000719 * np.cos(2. * day_angle)
+              + 7.7E-5 * np.sin(2. * day_angle))
+
+    if len(re_var.shape) < len(sza.shape):
+        re_var = np.tile(re_var.reshape((len(re_var), 1)), sza.shape[1])
+
+    I0 = re_var * SOLAR_CONSTANT
+    I0h = I0 * np.cos(np.radians(sza))
+    Ztemp = np.copy(sza)
+    Ztemp[Ztemp > sza_lim] = sza_lim
+
+    AM = (1. / (np.cos(np.radians(Ztemp))
+                + 0.15 * (np.power((93.885 - Ztemp), -1.253)))
+          * 100 * pressure / 101325)
+
+    Kt = ghi / I0h
+    Kt[Kt < 0] = 0
+
+    A[Kt > 0.6] = (-5.743 + 21.77 * Kt[Kt > 0.6]
+                   - 27.49 * np.power(Kt[Kt > 0.6], 2)
+                   + 11.56 * np.power(Kt[Kt > 0.6], 3))
+    B[Kt > 0.6] = (41.4 - 118.5 * Kt[Kt > 0.6]
+                   + 66.05 * np.power(Kt[Kt > 0.6], 2)
+                   + 31.9 * np.power(Kt[Kt > 0.6], 3))
+    C[Kt > 0.6] = (-47.01 + 184.2 * Kt[Kt > 0.6]
+                   - 222. * np.power(Kt[Kt > 0.6], 2)
+                   + 73.81 * np.power(Kt[Kt > 0.6], 3))
+
+    A[Kt <= 0.6] = (0.512 - 1.56 * Kt[Kt <= 0.6]
+                    + 2.286 * np.power(Kt[Kt <= 0.6], 2)
+                    - 2.222 * np.power(Kt[Kt <= 0.6], 3))
+    B[Kt <= 0.6] = 0.37 + 0.962 * Kt[Kt <= 0.6]
+    C[Kt <= 0.6] = (-0.28 + 0.932 * Kt[Kt <= 0.6]
+                    - 2.048 * np.power(Kt[Kt <= 0.6], 2))
+
+    delKn = A + B * np.exp(C * AM)
+
+    Knc = (0.866 - 0.122 * AM + 0.0121 * np.power(AM, 2)
+           - 0.000653 * np.power(AM, 3) + 0.000014 * np.power(AM, 4))
+
+    Kn = Knc - delKn
+    DNI = (Kn) * I0
+
+    DNI[np.logical_or.reduce((sza >= sza_lim, ghi < 1, DNI < 0))] = 0
+
+    return DNI

+
+
+ +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_modules/farms/farms_dni.html b/_modules/farms/farms_dni.html new file mode 100644 index 0000000..bb9cfda --- /dev/null +++ b/_modules/farms/farms_dni.html @@ -0,0 +1,658 @@ + + + + + + farms.farms_dni — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +

Source code for farms.farms_dni

+"""
+This model updates the computation of DNI used for FARMS.
+The orignal FARMS use DISC model to compute cloudy-sky DNI.
+This new model uses a physics-based algorithm to solve the direct
+and scattered beam in the circumsolar region.
+
+Created on March 1, 2022
+Upgraded on March 21, 2023
+FARMS-DNI model developed by Yu Xie (yu.xie@nrel.gov)
+
+References
+-----------
+Xie, Y., Sengupta, M., Dudhia, J., 2016. A Fast All-sky Radiation Model for
+Solar applications (FARMS): Algorithm and performance evaluation. Sol. Energy
+ 135, 435-445.
+Xie, Y., Sengupta, M., Liu, Y., Long, H., Min, Q., Liu, W., Habte, A., 2020.
+A physics-based DNI model assessing all-sky circumsolar radiation. iScience 22,
+ doi.org/10.1016/j.isci.2020.100893.
+Yang, J., Xie, Y., Sengupta, M., Liu, Y., Long, H., 2022. Parameterization of
+cloud transmittance for expeditious assessment and forecasting of all-sky DNI.
+J. Renewable Sustainable Energy 14, 063703.
+"""
+
+import numpy as np
+
+
+

+[docs]
+def TDD2(Z, Ftotal, F1):
+    '''
+    Compute surface reflection that falls in the circumsolar region.
+    A parameterization of Eq. (S4) in Xie et al (2020) is used.
+
+    All arrays should have the same shape (n_times) or
+    (n_times, n_lats, n_lons)
+
+    Parameters
+    -----------
+    Z:  np.ndarray
+        solar zenith angle (degree).
+    Ftotal: np.ndarray
+        GHI (Wm-2)
+    F1: np.ndarray
+        First order solar radiation given in FARMS (Wm-2).
+        See Xie et al. (2016) for more details.
+
+    Returns
+    -----------
+    Fd2: np.ndarray
+        Direct radiation caused by the reflection between
+        surface and cloud (Wm-2).
+    '''
+    # compute the integration of the solid angle
+    a = 5.94991536e-03
+    b = 5.42116600e-01
+    c = 331280.9859904468
+    muomega = a * np.exp(-np.power(Z - b, 3.0) / c)
+
+    Fd2 = np.cos(Z * np.pi / 180.0) * (Ftotal - F1) * muomega / np.pi
+    return Fd2

+
+
+
+

+[docs]
+def TDDP(Z, tau, De, phase1, phase2):
+    '''
+    Compute cloud transmittance of DNI for water and ice clouds
+    More details can be found in Xie et al. (2020)
+
+    All arrays should have the same shape (n_times) or
+    (n_times, n_lats, n_lons)
+
+    Parameters
+    -----------
+    Z:  np.ndarray
+        solar zenith angle (degree).
+    tau : np.ndarray
+        Cloud optical thickness (cld_opd_dcomp) (unitless).
+    De: np.ndarray
+        Effective cloud particle size (diameter, micron).
+    phase1: np.ndarray
+        np.where( phase==1 )
+        phase is cloud thermodynamic phase (water:1, ice:2)
+    phase2: np.ndarray
+        np.where( phase==2 )
+        phase is cloud thermodynamic phase (water:1, ice:2)
+
+    Returns
+    -----------
+    Tddcld: np.ndarray
+        Cloud transmittance of DNI for the cloud
+    '''
+    Tddcld = np.zeros_like(tau)
+    Tddcld[phase1] = Pwater(Z[phase1], tau[phase1], De[phase1])
+    Tddcld[phase2] = Pice(Z[phase2], tau[phase2], De[phase2])
+
+    return Tddcld

+
+
+
+

+[docs]
+def Pwater(Z, tau, De):
+    '''
+    Compute cloud transmittance for water clouds
+    The defination and use of the transmittance can be found in
+     Xie et al. (2020)
+    The cloud transmittance is parameterized by Yang et al. (2022)
+
+    All arrays should have the same shape (n_times) or
+    (n_times, n_lats, n_lons)
+
+    Parameters
+    -----------
+    Z:  np.ndarray
+        solar zenith angle (degree).
+    tau : np.ndarray
+        Cloud optical thickness (cld_opd_dcomp) (unitless).
+    De: np.ndarray
+        Effective cloud particle size (diameter, micron).
+
+    Returns
+    -----------
+    Tddcld: np.ndarray
+        Cloud transmittance of DNI for the cloud
+    '''
+    umu0 = np.cos(Z * np.pi / 180.0)
+    # taup  Eq.(3) in Yang et al. (2022)
+    taup = np.zeros_like(Z)
+    taup[(De < 10.0) & (umu0 < 0.1391)] = 0.1
+    taup[(De < 10.0) & (umu0 >= 0.1391) & (umu0 < 0.2419)] = 0.2
+    taup[(De < 10.0) & (umu0 >= 0.2419) & (umu0 < 0.3090)] = 0.3
+    taup[(De < 10.0) & (umu0 >= 0.3090) & (umu0 < 0.4067)] = 0.4
+    taup[(De < 10.0) & (umu0 >= 0.4067) & (umu0 < 0.6156)] = 0.5
+    taup[(De < 10.0) & (umu0 >= 0.6156)] = 1.0
+
+    taup[(De >= 10.0) & (umu0 < 0.1391)] = 0.1
+    taup[(De >= 10.0) & (umu0 >= 0.1391) & (umu0 < 0.2079)] = 0.2
+    taup[(De >= 10.0) & (umu0 >= 0.2079) & (umu0 < 0.3090)] = 0.3
+    taup[(De >= 10.0) & (umu0 >= 0.3090) & (umu0 < 0.3746)] = 0.4
+    taup[(De >= 10.0) & (umu0 >= 0.3746) & (umu0 < 0.6156)] = 0.5
+    taup[(De >= 10.0) & (umu0 >= 0.6156)] = 1.0
+
+    # Tddp  Eq(4) in Yang et al. (2022)
+    h = 0.005553 * np.log(De) + 0.002503
+    h[De == 0] = 0.0
+    Tddp = np.zeros_like(Z)
+    a1 = (umu0 >= 0.0) & (umu0 < 0.342)
+    Tddp[a1] = h[a1] * \
+        (-0.1787 * umu0[a1] * umu0[a1] + 0.2207 * umu0[a1] + 0.977)
+    a2 = (umu0 >= 0.342) & (umu0 < 0.4694)
+    Tddp[a2] = h[a2]
+    a3 = (umu0 >= 0.4694) & (umu0 < 0.7193)
+    Tddp[a3] = h[a3] * \
+        (2.6399 * umu0[a3] * umu0[a3] - 3.2111 * umu0[a3] + 1.9434)
+    a4 = (umu0 >= 0.7193) & (umu0 < 0.8829)
+    Tddp[a4] = h[a4] * \
+        (-0.224 * umu0[a4] * umu0[a4] + 0.0835 * umu0[a4] + 1.056)
+    a5 = (umu0 >= 0.8829) & (umu0 < 0.9396)
+    Tddp[a5] = h[a5] * \
+        (-94.381 * umu0[a5] * umu0[a5] + 170.32 * umu0[a5] - 75.843)
+    a6 = (umu0 >= 0.9396) & (umu0 < 0.9945)
+    Tddp[a6] = h[a6] * \
+        (-12.794 * umu0[a6] * umu0[a6] + 22.686 * umu0[a6] - 8.9392)
+    a7 = (umu0 >= 0.9945) & (umu0 < 0.999)
+    Tddp[a7] = h[a7] * \
+        (11248.61 * umu0[a7] * umu0[a7] - 22441.07 * umu0[a7] + 11193.59)
+    a8 = umu0 >= 0.999
+    Tddp[a8] = 0.76 * h[a8]
+
+    # Eq.(6) in Yang et al. (2022)
+    a = 2.0339 * np.power(umu0, -0.927)
+    b = 6.6421 * np.power(umu0, 2.0672)
+
+    # compute Tddcld using Eq.(5) in Yang et al. (2022)
+    Tddcld = np.zeros_like(Z)
+    a1 = tau <= 0.9 * taup
+    Tddcld[a1] = Tddp[a1] * np.tanh(a[a1] * tau[a1])
+    a2 = (tau > 0.9 * taup) & (tau < taup)
+    temp = np.tanh(b[a2] / np.power(taup[a2], 2.0)) - \
+        np.tanh(0.9 * a[a2] * taup[a2])
+    Tddcld[a2] = Tddp[a2] * np.tanh(0.9 * a[a2] * taup[a2]) + Tddp[a2] * \
+        temp * (tau[a2] - 0.9 * taup[a2]) / (0.1 * taup[a2])
+    a3 = tau >= taup
+    Tddcld[a3] = Tddp[a3] * np.tanh(b[a3] / np.power(tau[a3], 2.0))
+
+    return Tddcld

+
+
+
+

+[docs]
+def Pice(Z, tau, De):
+    '''
+    Compute cloud transmittance for ice clouds
+    The defination and use of the transmittance can be found in
+     Xie et al. (2020)
+    The cloud transmittance is parameterized by Yang et al. (2022)
+
+    All arrays should have the same shape (n_times) or
+    (n_times, n_lats, n_lons)
+
+    Parameters
+    -----------
+    Z:  np.ndarray
+        solar zenith angle (degree).
+    tau : np.ndarray
+        Cloud optical thickness (cld_opd_dcomp) (unitless).
+    De: np.ndarray
+        Effective cloud particle size (diameter, micron).
+
+    Returns
+    -----------
+    Tddcld: np.ndarray
+        Cloud transmittance of DNI for the cloud
+    '''
+    umu0 = np.cos(Z * np.pi / 180.0)
+    # taup Eq.(3) in Yang et al. (2022)
+    taup = np.zeros_like(Z)
+    a1 = (De >= 5.0) & (De < 14.0) & (umu0 < 0.1391)
+    taup[a1] = 0.1
+    a2 = (De >= 5.0) & (De < 14.0) & (umu0 >= 0.1391) & (umu0 < 0.2079)
+    taup[a2] = 0.2
+    a3 = (De >= 5.0) & (De < 14.0) & (umu0 >= 0.2079) & (umu0 < 0.3090)
+    taup[a3] = 0.3
+    a4 = (De >= 5.0) & (De < 14.0) & (umu0 >= 0.3090) & (umu0 < 0.3746)
+    taup[a4] = 0.4
+    a5 = (De >= 5.0) & (De < 14.0) & (umu0 >= 0.3746) & (umu0 < 0.6156)
+    taup[a5] = 0.5
+    a6 = (De >= 5.0) & (De < 14.0) & (umu0 >= 0.6156) & (umu0 < 0.9994)
+    taup[a6] = 1.0
+    a7 = (De >= 5.0) & (De < 14.0) & (umu0 >= 0.9994)
+    taup[a7] = 1.5
+
+    a8 = (De >= 14.0) & (De < 50.0) & (umu0 < 0.139173)
+    taup[a8] = 0.1
+    a9 = (De >= 14.0) & (De < 50.0) & (umu0 >= 0.139173) & \
+         (umu0 < -0.0011 * De + 0.2307)
+    taup[a9] = 0.2
+    a10 = (De >= 14.0) & (De < 50.0) & (umu0 >= -0.0011 * De + 0.2307) & \
+          (umu0 < -0.0022 * De + 0.3340)
+    taup[a10] = 0.3
+    a11 = (De >= 14.0) & (De < 50.0) & (umu0 >= -0.0022 * De + 0.3340) & \
+          (umu0 < -0.0020 * De + 0.4096)
+    taup[a11] = 0.4
+    a12 = (De >= 14.0) & (De < 50.0) & (umu0 >= -0.0020 * De + 0.4096) & \
+          (umu0 < -0.0033 * De + 0.6461)
+    taup[a12] = 0.5
+    a13 = (De >= 14.0) & (De < 50.0) & (umu0 >= -0.0033 * De + 0.6461) & \
+          (umu0 < -0.0049 * De + 1.0713)
+    taup[a13] = 1.0
+    a14 = (De >= 14.0) & (De < 50.0) & (umu0 >= -0.0049 * De + 1.0713)
+    taup[a14] = 1.5
+    a15 = (De >= 50.0) & (umu0 < -0.0006 * De + 0.2109)
+    taup[a15] = 0.2
+    a16 = (De >= 50.0) & (umu0 >= -0.0006 * De + 0.2109) & \
+          (umu0 < -0.0005 * De + 0.2581)
+    taup[a16] = 0.3
+    a17 = (De >= 50.0) & (umu0 >= -0.0005 * De + 0.2581) & \
+          (umu0 < -0.0010 * De + 0.3907)
+    taup[a17] = 0.4
+    a18 = (De >= 50.0) & (umu0 >= -0.0010 * De + 0.3907) & \
+          (umu0 < -0.0008 * De + 0.4900)
+    taup[a18] = 0.5
+    a19 = (De >= 50.0) & (umu0 >= -0.0008 * De + 0.4900) & \
+          (umu0 < -0.0017 * De + 0.8708)
+    taup[a19] = 1.0
+    a20 = (De >= 50.0) & (umu0 >= -0.0017 * De + 0.8708) & \
+          (umu0 < -0.0006 * De + 1.0367)
+    taup[a20] = 1.5
+    a21 = (De >= 50.0) & (umu0 >= -0.0006 * De + 1.0367)
+    taup[a21] = 2.0
+
+    # Tddp   Eq(4) in Yang et al. (2022)
+    Tddp = np.zeros_like(Z)
+    b1 = (umu0 >= 0.9994) & (De <= 10.0)
+    Tddp[b1] = 0.12269
+    b2 = (umu0 >= 0.9994) & (De > 10.0) & (De <= 16.0)
+    Tddp[b2] = 0.0015 * De[b2] + 0.1078
+    b3 = (umu0 >= 0.9994) & (De > 16.0)
+    Tddp[b3] = 0.1621 * np.exp(-0.016 * De[b3])
+
+    b4 = (umu0 < 0.9396) & (De <= 10.0)
+    Tddp[b4] = 0.14991
+    b5 = (umu0 < 0.9945) & (umu0 >= 0.9396) & (De <= 10.0)
+    Tddp[b5] = -4.5171 * np.power(umu0[b5], 2.0) + 8.3056 * umu0[b5] - 3.6476
+    b6 = (umu0 >= 0.9945) & (umu0 < 0.9994) & (De <= 10.0)
+    Tddp[b6] = 298.45 * np.power(umu0[b6], 2.0) - 601.33 * umu0[b6] + 303.04
+
+    ade = -0.000232338 * np.power(De, 2.0) + 0.012748726 * De + 0.046745083
+    b7 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & \
+        (umu0 <= 0.2419)
+    Tddp[b7] = \
+        (-8.454 * np.power(umu0[b7], 2.0) + 2.4095 * umu0[b7] + 0.8425) *\
+        ade[b7]
+    b8 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.2419) &\
+        (umu0 <= 0.3746)
+    Tddp[b8] = \
+        (-13.528 * np.power(umu0[b8], 2.0) + 7.8403 * umu0[b8] - 0.1221) \
+        * ade[b8]
+    b9 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.3746) &\
+        (umu0 <= 0.4694)
+    Tddp[b9] = (19.524 * np.power(umu0[b9], 2.0) - 16.5 * umu0[b9] + 4.4612) *\
+        ade[b9]
+    b10 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.4694) &\
+        (umu0 <= 0.5877)
+    Tddp[b10] = \
+        (16.737 * np.power(umu0[b10], 2.0) - 17.419 * umu0[b10] + 5.4881)\
+        * ade[b10]
+    b11 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.5877) &\
+        (umu0 <= 0.6691)
+    Tddp[b11] = \
+        (-39.493 * np.power(umu0[b11], 2.0) + 48.963 * umu0[b11] - 14.175)\
+        * ade[b11]
+    b12 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.6691) &\
+        (umu0 <= 0.7660)
+    Tddp[b12] = \
+        (0.4017 * np.power(umu0[b12], 2.0) - 0.243 * umu0[b12] + 0.9609)\
+        * ade[b12]
+    b13 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.7660) &\
+        (umu0 <= 0.8480)
+    Tddp[b13] = \
+        (-11.183 * np.power(umu0[b13], 2.0) + 18.126 * umu0[b13] - 6.3417) *\
+        ade[b13]
+    b14 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.8480) & \
+        (umu0 <= 0.8987)
+    Tddp[b14] = \
+        (-163.36 * np.power(umu0[b14], 2.0) + 283.35 * umu0[b14] - 121.91) *\
+        ade[b14]
+    b15 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.8987) \
+        & (umu0 <= 0.9396)
+    Tddp[b15] = \
+        (-202.72 * np.power(umu0[b15], 2.0) + 368.75 * umu0[b15] - 166.75) *\
+        ade[b15]
+    b16 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.9396) \
+        & (umu0 <= 0.9702)
+    Tddp[b16] = \
+        (-181.72 * np.power(umu0[b16], 2.0) + 343.59 * umu0[b16] - 161.3) *\
+        ade[b16]
+    b17 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.9702) \
+        & (umu0 <= 0.9945)
+    Tddp[b17] = \
+        (127.66 * np.power(umu0[b17], 2.0) - 255.73 * umu0[b17] + 129.03) *\
+        ade[b17]
+    b18 = (umu0 < 0.999) & (De > 10.0) & (De <= 30.0) & (umu0 > 0.9945)
+    Tddp[b18] = \
+        (908.66 * np.power(umu0[b18], 2.0) - 1869.3 * umu0[b18] + 961.63) *\
+        ade[b18]
+
+    bde = 0.0000166112 * np.power(De, 2.0) - 0.00410998 * De + 0.352026619
+    b19 = (umu0 < 0.999) & (De > 30.0) & (umu0 <= 0.2419)
+    Tddp[b19] = \
+        (-4.362 * np.power(umu0[b19], 2.0) - 0.0878 * umu0[b19] + 1.1218) *\
+        bde[b19]
+    b20 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.2419) & (umu0 <= 0.3746)
+    Tddp[b20] = \
+        (-49.566 * np.power(umu0[b20], 2.0) + 28.767 * umu0[b20] - 3.1299) *\
+        bde[b20]
+    b21 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.3746) & (umu0 <= 0.4694)
+    Tddp[b21] = \
+        (58.572 * np.power(umu0[b21], 2.0) - 49.5 * umu0[b21] + 11.363) *\
+        bde[b21]
+    b22 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.4694) & (umu0 <= 0.5877)
+    Tddp[b22] = \
+        (62.118 * np.power(umu0[b22], 2.0) - 63.037 * umu0[b22] + 16.875) *\
+        bde[b22]
+    b23 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.5877) & (umu0 <= 0.6691)
+    Tddp[b23] = \
+        (-237.68 * np.power(umu0[b23], 2.0) + 293.21 * umu0[b23] - 89.328) *\
+        bde[b23]
+    b24 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.6691) & (umu0 <= 0.7660)
+    Tddp[b24] = \
+        (1.2051 * np.power(umu0[b24], 2.0) - 0.7291 * umu0[b24] + 0.8826) *\
+        bde[b24]
+    b25 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.7660) & (umu0 <= 0.8480)
+    Tddp[b25] = \
+        (-55.6 * np.power(umu0[b25], 2.0) + 90.698 * umu0[b25] - 35.905) *\
+        bde[b25]
+    b26 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.8480) & (umu0 <= 0.8987)
+    Tddp[b26] = \
+        (-422.36 * np.power(umu0[b26], 2.0) + 733.97 * umu0[b26] - 317.89) *\
+        bde[b26]
+    b27 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.8987) & (umu0 <= 0.9396)
+    Tddp[b27] = \
+        (-457.09 * np.power(umu0[b27], 2.0) + 831.11 * umu0[b27] - 376.85) *\
+        bde[b27]
+    b28 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.9396) & (umu0 <= 0.9702)
+    Tddp[b28] = \
+        (-344.91 * np.power(umu0[b28], 2.0) + 655.67 * umu0[b28] - 310.5) *\
+        bde[b28]
+    b29 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.9702) & (umu0 <= 0.9945)
+    Tddp[b29] = \
+        (622.85 * np.power(umu0[b29], 2.0) - 1227.6 * umu0[b29] + 605.97) *\
+        bde[b29]
+    b30 = (umu0 < 0.999) & (De > 30.0) & (umu0 > 0.9945)
+    Tddp[b30] = \
+        (6309.63 * np.power(umu0[b30], 2.0) - 12654.78 * umu0[b30] + 6346.15)\
+        * bde[b30]
+
+    # compute Tddcld using Eq.(5) in Yang et al. (2022)
+    a = 1.7686 * np.power(umu0, -0.95)
+    b = 7.117 * np.power(umu0, 1.9658)
+
+    Tddcld = np.zeros_like(Z)
+    a1 = tau <= 0.9 * taup
+    Tddcld[a1] = Tddp[a1] * np.tanh(a[a1] * tau[a1])
+    a2 = (tau > 0.9 * taup) & (tau < taup)
+    Tddcld[a2] = Tddp[a2] * np.tanh(0.9 * a[a2] * taup[a2]) + Tddp[a2] *\
+        (np.tanh(b[a2] / taup[a2]**2.0) - np.tanh(0.9 * a[a2] * taup[a2])) *\
+        (tau[a2] - 0.9 * taup[a2]) / (0.1 * taup[a2])
+    a3 = tau >= taup
+    Tddcld[a3] = Tddp[a3] * np.tanh(b[a3] / np.power(tau[a3], 2.0))
+
+    return Tddcld

+
+
+
+

+[docs]
+def farms_dni(F0, tau, solar_zenith_angle, De, phase, phase1, phase2,
+              Tddclr, Ftotal, F1):
+    '''
+    Fast All-sky Radiation Model for solar applications with direct normal
+    irradiance (FARMS-DNI)
+
+    References
+    -----------
+    Xie, Y., Sengupta, M., Dudhia, J., 2016. A Fast All-sky Radiation Model
+    for Solar applications (FARMS): Algorithm and performance evaluation.
+    Sol. Energy 135, 435-445.
+    Xie, Y., Sengupta, M., Liu, Y., Long, H., Min, Q., Liu, W., Habte, A.,
+     2020. A physics-based DNI model assessing all-sky circumsolar radiation.
+    iScience 22, doi.org/10.1016/j.isci.2020.100893.
+    Yang, J., Xie, Y., Sengupta, M., Liu, Y., Long, H., 2022. Parameterization
+    of cloud transmittance for expeditious assessment and forecasting of
+    all-sky DNI. J. Renewable Sustainable Energy 14, 063703.
+
+    All arrays should have the same shape (n_times) or
+    (n_times, n_lats, n_lons)
+
+    Parameters
+    -----------
+    F0:  np.ndarray
+        extraterrestrial solar radiation (Wm-2).
+    tau : np.ndarray
+        Cloud optical thickness (cld_opd_dcomp) (unitless).
+    solar_zenith_angle : np.ndarray
+        Solar zenith angle (degrees). Must represent the average value over the
+        integration period (e.g. hourly) under scrutiny.
+    De: np.ndarray
+        Effective cloud particle size (diameter, micron).
+    phase: np.ndarray
+        Cloud thermodynamic phase (water:1, ice:2)
+    phase1: np.ndarray
+        np.where( phase==1 )
+    phase2: np.ndarray
+        np.where( phase==2 )
+    Tddclr : np.ndarray
+        Calculated in REST2. Transmittance of the clear-sky atmosphere for
+        direct incident and direct outgoing fluxes (dd).
+        Tddclr = dni / etdirn
+    Ftotal: np.ndarray
+        GHI (Wm-2)
+    F1: np.ndarray
+        First order solar radiation given in FARMS (Wm-2).
+        See Xie et al. (2016) for more details.
+
+    Returns
+    -----------
+    Fd: np.ndarray
+        Direct radiation in the downwelling direction (Wm-2). It includes the
+        narrow beam and the scattered radiation in the circumsolar region.
+    dni_farmsdni: np.ndarray
+        DNI computed by FARMS-DNI (Wm-2).
+    dni0: np.ndarray
+        DNI computed by the Lambert law (Wm-2). It only includes the narrow
+         beam in the circumsolar region.
+    '''
+
+    # scale tau for the computation of DNI. See Eqs. (3a and 3b) in
+    # Xie et al. (2020), iScience.
+    taudni = np.zeros_like(tau)
+    a1 = np.where((phase == 1) & (tau < 8.0))
+    a2 = np.where((phase == 1) & (tau >= 8.0))
+    temp1 = 0.254825 * tau[a1] - 0.00232717 * tau[a1]**2.0 + \
+        5.19320e-06 * tau[a1]**3.0
+    taudni[a1] = temp1 * (1.0 + (8.0 - tau[a1]) * 0.07)
+    taudni[a2] = 0.2 * np.power(tau[a2] - 8.0, 1.5) + 2.10871
+
+    b1 = np.where((phase == 2) & (tau < 8.0))
+    b2 = np.where((phase == 2) & (tau >= 8.0))
+    taudni[b1] = 0.345353 * tau[b1] - 0.00244671 * np.power(tau[b1], 2.0)  \
+        + (4.74263E-06) * np.power(tau[b1], 3.0)
+    taudni[b2] = 0.2 * np.power(tau[b2] - 8.0, 1.5) + 2.91345
+
+    # compute DNI in the narrow beam. Eq.(S2) in Xie et al. (2020), iScience.
+    Z = np.arccos(solar_zenith_angle) * 180.0 / np.pi
+    dni0 = F0 * Tddclr * np.exp(-tau / solar_zenith_angle)
+
+    Tddcld0 = np.exp(-taudni / solar_zenith_angle)
+    Fd0 = solar_zenith_angle * F0 * Tddcld0 * Tddclr
+
+    # compute scattered radiation in the circumsolar region. Eq.(S3 and S4)
+    # in Xie et al. (2020), iScience.
+    Tddcld1 = TDDP(Z, taudni, De, phase1, phase2)
+    Fd1 = solar_zenith_angle * F0 * Tddclr * Tddcld1
+    Fd2 = TDD2(Z, Ftotal, F1)
+
+    # compute DNI using the three components. Eq.(S1) in
+    # Xie et al. (2020), iScience.
+    Fd = Fd0 + Fd1 + Fd2
+    dni_farmsdni = Fd / solar_zenith_angle
+
+    return Fd, dni_farmsdni, dni0

+
+
+ +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_modules/index.html b/_modules/index.html new file mode 100644 index 0000000..23a642b --- /dev/null +++ b/_modules/index.html @@ -0,0 +1,143 @@ + + + + + + Overview: module code — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+
    +
    • +
  • Overview: module code
    • +
  • +
    • +
+
+
+
+
+ +

All modules for which code is available

+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/_sources/_farms/farms.disc.disc.rst.txt b/_sources/_farms/farms.disc.disc.rst.txt new file mode 100644 index 0000000..ba75988 --- /dev/null +++ b/_sources/_farms/farms.disc.disc.rst.txt @@ -0,0 +1,6 @@ +farms.disc.disc +=============== + +.. currentmodule:: farms.disc + +.. autofunction:: disc \ No newline at end of file diff --git a/_sources/_farms/farms.disc.rst.txt b/_sources/_farms/farms.disc.rst.txt new file mode 100644 index 0000000..ed531a0 --- /dev/null +++ b/_sources/_farms/farms.disc.rst.txt @@ -0,0 +1,30 @@ +farms.disc +========== + +.. automodule:: farms.disc + + + + + + + + .. rubric:: Functions + + .. autosummary:: + :toctree: + + disc + + + + + + + + + + + + + diff --git a/_sources/_farms/farms.farms_dni.Pice.rst.txt b/_sources/_farms/farms.farms_dni.Pice.rst.txt new file mode 100644 index 0000000..73e16cc --- /dev/null +++ b/_sources/_farms/farms.farms_dni.Pice.rst.txt @@ -0,0 +1,6 @@ +farms.farms\_dni.Pice +===================== + +.. currentmodule:: farms.farms_dni + +.. autofunction:: Pice \ No newline at end of file diff --git a/_sources/_farms/farms.farms_dni.Pwater.rst.txt b/_sources/_farms/farms.farms_dni.Pwater.rst.txt new file mode 100644 index 0000000..b1574b9 --- /dev/null +++ b/_sources/_farms/farms.farms_dni.Pwater.rst.txt @@ -0,0 +1,6 @@ +farms.farms\_dni.Pwater +======================= + +.. currentmodule:: farms.farms_dni + +.. autofunction:: Pwater \ No newline at end of file diff --git a/_sources/_farms/farms.farms_dni.TDD2.rst.txt b/_sources/_farms/farms.farms_dni.TDD2.rst.txt new file mode 100644 index 0000000..ff476f0 --- /dev/null +++ b/_sources/_farms/farms.farms_dni.TDD2.rst.txt @@ -0,0 +1,6 @@ +farms.farms\_dni.TDD2 +===================== + +.. currentmodule:: farms.farms_dni + +.. autofunction:: TDD2 \ No newline at end of file diff --git a/_sources/_farms/farms.farms_dni.TDDP.rst.txt b/_sources/_farms/farms.farms_dni.TDDP.rst.txt new file mode 100644 index 0000000..c380626 --- /dev/null +++ b/_sources/_farms/farms.farms_dni.TDDP.rst.txt @@ -0,0 +1,6 @@ +farms.farms\_dni.TDDP +===================== + +.. currentmodule:: farms.farms_dni + +.. autofunction:: TDDP \ No newline at end of file diff --git a/_sources/_farms/farms.farms_dni.farms_dni.rst.txt b/_sources/_farms/farms.farms_dni.farms_dni.rst.txt new file mode 100644 index 0000000..c57f889 --- /dev/null +++ b/_sources/_farms/farms.farms_dni.farms_dni.rst.txt @@ -0,0 +1,6 @@ +farms.farms\_dni.farms\_dni +=========================== + +.. currentmodule:: farms.farms_dni + +.. autofunction:: farms_dni \ No newline at end of file diff --git a/_sources/_farms/farms.farms_dni.rst.txt b/_sources/_farms/farms.farms_dni.rst.txt new file mode 100644 index 0000000..ad1dfd2 --- /dev/null +++ b/_sources/_farms/farms.farms_dni.rst.txt @@ -0,0 +1,34 @@ +farms.farms\_dni +================ + +.. automodule:: farms.farms_dni + + + + + + + + .. rubric:: Functions + + .. autosummary:: + :toctree: + + Pice + Pwater + TDD2 + TDDP + farms_dni + + + + + + + + + + + + + diff --git a/_sources/_farms/farms.rst.txt b/_sources/_farms/farms.rst.txt new file mode 100644 index 0000000..255b80c --- /dev/null +++ b/_sources/_farms/farms.rst.txt @@ -0,0 +1,36 @@ +farms +===== + +.. automodule:: farms + + + + + + + + + + + + + + + + + + + +.. rubric:: Modules + +.. autosummary:: + :toctree: + :template: custom-module-template.rst + :recursive: + + farms.disc + farms.farms + farms.farms_dni + farms.utilities + farms.version + diff --git a/_sources/_farms/farms.version.rst.txt b/_sources/_farms/farms.version.rst.txt new file mode 100644 index 0000000..664f4aa --- /dev/null +++ b/_sources/_farms/farms.version.rst.txt @@ -0,0 +1,23 @@ +farms.version +============= + +.. automodule:: farms.version + + + + + + + + + + + + + + + + + + + diff --git a/_sources/farms/farms.disc.rst.txt b/_sources/farms/farms.disc.rst.txt new file mode 100644 index 0000000..0a0fb60 --- /dev/null +++ b/_sources/farms/farms.disc.rst.txt @@ -0,0 +1,7 @@ +farms.disc module +================= + +.. automodule:: farms.disc + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/farms/farms.farms.rst.txt b/_sources/farms/farms.farms.rst.txt new file mode 100644 index 0000000..e39e9b2 --- /dev/null +++ b/_sources/farms/farms.farms.rst.txt @@ -0,0 +1,7 @@ +farms.farms module +================== + +.. automodule:: farms.farms + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/farms/farms.rst.txt b/_sources/farms/farms.rst.txt new file mode 100644 index 0000000..aa2b29d --- /dev/null +++ b/_sources/farms/farms.rst.txt @@ -0,0 +1,17 @@ +farms package +============= + +.. automodule:: farms + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +.. toctree:: + + farms.disc + farms.farms + farms.utilities + farms.version diff --git a/_sources/farms/farms.utilities.rst.txt b/_sources/farms/farms.utilities.rst.txt new file mode 100644 index 0000000..6dce572 --- /dev/null +++ b/_sources/farms/farms.utilities.rst.txt @@ -0,0 +1,7 @@ +farms.utilities module +====================== + +.. automodule:: farms.utilities + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/farms/farms.version.rst.txt b/_sources/farms/farms.version.rst.txt new file mode 100644 index 0000000..bec55d6 --- /dev/null +++ b/_sources/farms/farms.version.rst.txt @@ -0,0 +1,7 @@ +farms.version module +==================== + +.. automodule:: farms.version + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt new file mode 100644 index 0000000..d9d72b9 --- /dev/null +++ b/_sources/index.rst.txt @@ -0,0 +1,31 @@ +rex documentation +******************* + +What is farms? +============== + +FARMS is the Fast All-sky Radiation Model for Solar applications and is used to +compute cloudy irradiance. + +.. include:: ../../README.rst + :start-after: inclusion-intro + +.. toctree:: + :maxdepth: 3 + :caption: Contents: + + installation + +.. autosummary:: + :toctree: _farms + :template: custom-module-template.rst + :recursive: + + farms + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/_sources/installation.rst.txt b/_sources/installation.rst.txt new file mode 100644 index 0000000..2a29ba7 --- /dev/null +++ b/_sources/installation.rst.txt @@ -0,0 +1,6 @@ +Installation +============ + +.. include:: ../../../README.rst + :start-after: Installing farms + :end-before: Recommended Citation diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js new file mode 100644 index 0000000..8141580 --- /dev/null +++ b/_static/_sphinx_javascript_frameworks_compat.js @@ -0,0 +1,123 @@ +/* Compatability shim for jQuery and underscores.js. + * + * Copyright Sphinx contributors + * Released under the two clause BSD licence + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. 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font-weight: bold } /* Literal.String.Escape */ +.highlight .sh { color: #4070a0 } /* Literal.String.Heredoc */ +.highlight .si { color: #70a0d0; font-style: italic } /* Literal.String.Interpol */ +.highlight .sx { color: #c65d09 } /* Literal.String.Other */ +.highlight .sr { color: #235388 } /* Literal.String.Regex */ +.highlight .s1 { color: #4070a0 } /* Literal.String.Single */ +.highlight .ss { color: #517918 } /* Literal.String.Symbol */ +.highlight .bp { color: #007020 } /* Name.Builtin.Pseudo */ +.highlight .fm { color: #06287e } /* Name.Function.Magic */ +.highlight .vc { color: #bb60d5 } /* Name.Variable.Class */ +.highlight .vg { color: #bb60d5 } /* Name.Variable.Global */ +.highlight .vi { color: #bb60d5 } /* Name.Variable.Instance */ +.highlight .vm { color: #bb60d5 } /* Name.Variable.Magic */ +.highlight .il { color: #208050 } /* Literal.Number.Integer.Long */ \ No newline at end of file diff --git a/_static/searchtools.js b/_static/searchtools.js new file mode 100644 index 0000000..92da3f8 --- /dev/null +++ b/_static/searchtools.js @@ -0,0 +1,619 @@ +/* + * searchtools.js + * ~~~~~~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for the full-text search. + * + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ +"use strict"; + +/** + * Simple result scoring code. + */ +if (typeof Scorer === "undefined") { + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [docname, title, anchor, descr, score, filename] + // and returns the new score. + /* + score: result => { + const [docname, title, anchor, descr, score, filename] = result + return score + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: { + 0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5, // used to be unimportantResults + }, + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2, + }; +} + +const _removeChildren = (element) => { + while (element && element.lastChild) element.removeChild(element.lastChild); +}; + +/** + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping + */ +const _escapeRegExp = (string) => + string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string + +const _displayItem = (item, searchTerms, highlightTerms) => { + const docBuilder = DOCUMENTATION_OPTIONS.BUILDER; + const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX; + const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX; + const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY; + const contentRoot = document.documentElement.dataset.content_root; + + const [docName, title, anchor, descr, score, _filename] = item; + + let listItem = document.createElement("li"); + let requestUrl; + let linkUrl; + if (docBuilder === "dirhtml") { + // dirhtml builder + let dirname = docName + "/"; + if (dirname.match(/\/index\/$/)) + dirname = dirname.substring(0, dirname.length - 6); + else if (dirname === "index/") dirname = ""; + requestUrl = contentRoot + dirname; + linkUrl = requestUrl; + } else { + // normal html builders + requestUrl = contentRoot + docName + docFileSuffix; + linkUrl = docName + docLinkSuffix; + } + let linkEl = listItem.appendChild(document.createElement("a")); + linkEl.href = linkUrl + anchor; + linkEl.dataset.score = score; + linkEl.innerHTML = title; + if (descr) { + listItem.appendChild(document.createElement("span")).innerHTML = + " (" + descr + ")"; + // highlight search terms in the description + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + } + else if (showSearchSummary) + fetch(requestUrl) + .then((responseData) => responseData.text()) + .then((data) => { + if (data) + listItem.appendChild( + Search.makeSearchSummary(data, searchTerms, anchor) + ); + // highlight search terms in the summary + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + }); + Search.output.appendChild(listItem); +}; +const _finishSearch = (resultCount) => { + Search.stopPulse(); + Search.title.innerText = _("Search Results"); + if (!resultCount) + Search.status.innerText = Documentation.gettext( + "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories." + ); + else + Search.status.innerText = _( + "Search finished, found ${resultCount} page(s) matching the search query." + ).replace('${resultCount}', resultCount); +}; +const _displayNextItem = ( + results, + resultCount, + searchTerms, + highlightTerms, +) => { + // results left, load the summary and display it + // this is intended to be dynamic (don't sub resultsCount) + if (results.length) { + _displayItem(results.pop(), searchTerms, highlightTerms); + setTimeout( + () => _displayNextItem(results, resultCount, searchTerms, highlightTerms), + 5 + ); + } + // search finished, update title and status message + else _finishSearch(resultCount); +}; +// Helper function used by query() to order search results. +// Each input is an array of [docname, title, anchor, descr, score, filename]. +// Order the results by score (in opposite order of appearance, since the +// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically. +const _orderResultsByScoreThenName = (a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; +}; + +/** + * Default splitQuery function. Can be overridden in ``sphinx.search`` with a + * custom function per language. + * + * The regular expression works by splitting the string on consecutive characters + * that are not Unicode letters, numbers, underscores, or emoji characters. + * This is the same as ``\W+`` in Python, preserving the surrogate pair area. + */ +if (typeof splitQuery === "undefined") { + var splitQuery = (query) => query + .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu) + .filter(term => term) // remove remaining empty strings +} + +/** + * Search Module + */ +const Search = { + _index: null, + _queued_query: null, + _pulse_status: -1, + + htmlToText: (htmlString, anchor) => { + const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); + for (const removalQuery of [".headerlinks", "script", "style"]) { + htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() }); + } + if (anchor) { + const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`); + if (anchorContent) return anchorContent.textContent; + + console.warn( + `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.` + ); + } + + // if anchor not specified or not found, fall back to main content + const docContent = htmlElement.querySelector('[role="main"]'); + if (docContent) return docContent.textContent; + + console.warn( + "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template." + ); + return ""; + }, + + init: () => { + const query = new URLSearchParams(window.location.search).get("q"); + document + .querySelectorAll('input[name="q"]') + .forEach((el) => (el.value = query)); + if (query) Search.performSearch(query); + }, + + loadIndex: (url) => + (document.body.appendChild(document.createElement("script")).src = url), + + setIndex: (index) => { + Search._index = index; + if (Search._queued_query !== null) { + const query = Search._queued_query; + Search._queued_query = null; + Search.query(query); + } + }, + + hasIndex: () => Search._index !== null, + + deferQuery: (query) => (Search._queued_query = query), + + stopPulse: () => (Search._pulse_status = -1), + + startPulse: () => { + if (Search._pulse_status >= 0) return; + + const pulse = () => { + Search._pulse_status = (Search._pulse_status + 1) % 4; + Search.dots.innerText = ".".repeat(Search._pulse_status); + if (Search._pulse_status >= 0) window.setTimeout(pulse, 500); + }; + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch: (query) => { + // create the required interface elements + const searchText = document.createElement("h2"); + searchText.textContent = _("Searching"); + const searchSummary = document.createElement("p"); + searchSummary.classList.add("search-summary"); + searchSummary.innerText = ""; + const searchList = document.createElement("ul"); + searchList.classList.add("search"); + + const out = document.getElementById("search-results"); + Search.title = out.appendChild(searchText); + Search.dots = Search.title.appendChild(document.createElement("span")); + Search.status = out.appendChild(searchSummary); + Search.output = out.appendChild(searchList); + + const searchProgress = document.getElementById("search-progress"); + // Some themes don't use the search progress node + if (searchProgress) { + searchProgress.innerText = _("Preparing search..."); + } + Search.startPulse(); + + // index already loaded, the browser was quick! + if (Search.hasIndex()) Search.query(query); + else Search.deferQuery(query); + }, + + _parseQuery: (query) => { + // stem the search terms and add them to the correct list + const stemmer = new Stemmer(); + const searchTerms = new Set(); + const excludedTerms = new Set(); + const highlightTerms = new Set(); + const objectTerms = new Set(splitQuery(query.toLowerCase().trim())); + splitQuery(query.trim()).forEach((queryTerm) => { + const queryTermLower = queryTerm.toLowerCase(); + + // maybe skip this "word" + // stopwords array is from language_data.js + if ( + stopwords.indexOf(queryTermLower) !== -1 || + queryTerm.match(/^\d+$/) + ) + return; + + // stem the word + let word = stemmer.stemWord(queryTermLower); + // select the correct list + if (word[0] === "-") excludedTerms.add(word.substr(1)); + else { + searchTerms.add(word); + highlightTerms.add(queryTermLower); + } + }); + + if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js + localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" ")) + } + + // console.debug("SEARCH: searching for:"); + // console.info("required: ", [...searchTerms]); + // console.info("excluded: ", [...excludedTerms]); + + return [query, searchTerms, excludedTerms, highlightTerms, objectTerms]; + }, + + /** + * execute search (requires search index to be loaded) + */ + _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // Collect multiple result groups to be sorted separately and then ordered. + // Each is an array of [docname, title, anchor, descr, score, filename]. + const normalResults = []; + const nonMainIndexResults = []; + + _removeChildren(document.getElementById("search-progress")); + + const queryLower = query.toLowerCase().trim(); + for (const [title, foundTitles] of Object.entries(allTitles)) { + if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) { + for (const [file, id] of foundTitles) { + let score = Math.round(100 * queryLower.length / title.length) + normalResults.push([ + docNames[file], + titles[file] !== title ? `${titles[file]} > ${title}` : title, + id !== null ? "#" + id : "", + null, + score, + filenames[file], + ]); + } + } + } + + // search for explicit entries in index directives + for (const [entry, foundEntries] of Object.entries(indexEntries)) { + if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { + for (const [file, id, isMain] of foundEntries) { + const score = Math.round(100 * queryLower.length / entry.length); + const result = [ + docNames[file], + titles[file], + id ? "#" + id : "", + null, + score, + filenames[file], + ]; + if (isMain) { + normalResults.push(result); + } else { + nonMainIndexResults.push(result); + } + } + } + } + + // lookup as object + objectTerms.forEach((term) => + normalResults.push(...Search.performObjectSearch(term, objectTerms)) + ); + + // lookup as search terms in fulltext + normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) { + normalResults.forEach((item) => (item[4] = Scorer.score(item))); + nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item))); + } + + // Sort each group of results by score and then alphabetically by name. + normalResults.sort(_orderResultsByScoreThenName); + nonMainIndexResults.sort(_orderResultsByScoreThenName); + + // Combine the result groups in (reverse) order. + // Non-main index entries are typically arbitrary cross-references, + // so display them after other results. + let results = [...nonMainIndexResults, ...normalResults]; + + // remove duplicate search results + // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept + let seen = new Set(); + results = results.reverse().reduce((acc, result) => { + let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(','); + if (!seen.has(resultStr)) { + acc.push(result); + seen.add(resultStr); + } + return acc; + }, []); + + return results.reverse(); + }, + + query: (query) => { + const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query); + const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms); + + // for debugging + //Search.lastresults = results.slice(); // a copy + // console.info("search results:", Search.lastresults); + + // print the results + _displayNextItem(results, results.length, searchTerms, highlightTerms); + }, + + /** + * search for object names + */ + performObjectSearch: (object, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const objects = Search._index.objects; + const objNames = Search._index.objnames; + const titles = Search._index.titles; + + const results = []; + + const objectSearchCallback = (prefix, match) => { + const name = match[4] + const fullname = (prefix ? prefix + "." : "") + name; + const fullnameLower = fullname.toLowerCase(); + if (fullnameLower.indexOf(object) < 0) return; + + let score = 0; + const parts = fullnameLower.split("."); + + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower === object || parts.slice(-1)[0] === object) + score += Scorer.objNameMatch; + else if (parts.slice(-1)[0].indexOf(object) > -1) + score += Scorer.objPartialMatch; // matches in last name + + const objName = objNames[match[1]][2]; + const title = titles[match[0]]; + + // If more than one term searched for, we require other words to be + // found in the name/title/description + const otherTerms = new Set(objectTerms); + otherTerms.delete(object); + if (otherTerms.size > 0) { + const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase(); + if ( + [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0) + ) + return; + } + + let anchor = match[3]; + if (anchor === "") anchor = fullname; + else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname; + + const descr = objName + _(", in ") + title; + + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) + score += Scorer.objPrio[match[2]]; + else score += Scorer.objPrioDefault; + + results.push([ + docNames[match[0]], + fullname, + "#" + anchor, + descr, + score, + filenames[match[0]], + ]); + }; + Object.keys(objects).forEach((prefix) => + objects[prefix].forEach((array) => + objectSearchCallback(prefix, array) + ) + ); + return results; + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch: (searchTerms, excludedTerms) => { + // prepare search + const terms = Search._index.terms; + const titleTerms = Search._index.titleterms; + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + + const scoreMap = new Map(); + const fileMap = new Map(); + + // perform the search on the required terms + searchTerms.forEach((word) => { + const files = []; + const arr = [ + { files: terms[word], score: Scorer.term }, + { files: titleTerms[word], score: Scorer.title }, + ]; + // add support for partial matches + if (word.length > 2) { + const escapedWord = _escapeRegExp(word); + if (!terms.hasOwnProperty(word)) { + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + } + if (!titleTerms.hasOwnProperty(word)) { + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: titleTerms[term], score: Scorer.partialTitle }); + }); + } + } + + // no match but word was a required one + if (arr.every((record) => record.files === undefined)) return; + + // found search word in contents + arr.forEach((record) => { + if (record.files === undefined) return; + + let recordFiles = record.files; + if (recordFiles.length === undefined) recordFiles = [recordFiles]; + files.push(...recordFiles); + + // set score for the word in each file + recordFiles.forEach((file) => { + if (!scoreMap.has(file)) scoreMap.set(file, {}); + scoreMap.get(file)[word] = record.score; + }); + }); + + // create the mapping + files.forEach((file) => { + if (!fileMap.has(file)) fileMap.set(file, [word]); + else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word); + }); + }); + + // now check if the files don't contain excluded terms + const results = []; + for (const [file, wordList] of fileMap) { + // check if all requirements are matched + + // as search terms with length < 3 are discarded + const filteredTermCount = [...searchTerms].filter( + (term) => term.length > 2 + ).length; + if ( + wordList.length !== searchTerms.size && + wordList.length !== filteredTermCount + ) + continue; + + // ensure that none of the excluded terms is in the search result + if ( + [...excludedTerms].some( + (term) => + terms[term] === file || + titleTerms[term] === file || + (terms[term] || []).includes(file) || + (titleTerms[term] || []).includes(file) + ) + ) + break; + + // select one (max) score for the file. + const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w])); + // add result to the result list + results.push([ + docNames[file], + titles[file], + "", + null, + score, + filenames[file], + ]); + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words. + */ + makeSearchSummary: (htmlText, keywords, anchor) => { + const text = Search.htmlToText(htmlText, anchor); + if (text === "") return null; + + const textLower = text.toLowerCase(); + const actualStartPosition = [...keywords] + .map((k) => textLower.indexOf(k.toLowerCase())) + .filter((i) => i > -1) + .slice(-1)[0]; + const startWithContext = Math.max(actualStartPosition - 120, 0); + + const top = startWithContext === 0 ? "" : "..."; + const tail = startWithContext + 240 < text.length ? "..." : ""; + + let summary = document.createElement("p"); + summary.classList.add("context"); + summary.textContent = top + text.substr(startWithContext, 240).trim() + tail; + + return summary; + }, +}; + +_ready(Search.init); diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js new file mode 100644 index 0000000..8a96c69 --- /dev/null +++ b/_static/sphinx_highlight.js @@ -0,0 +1,154 @@ +/* Highlighting utilities for Sphinx HTML documentation. */ +"use strict"; + +const SPHINX_HIGHLIGHT_ENABLED = true + +/** + * highlight a given string on a node by wrapping it in + * span elements with the given class name. + */ +const _highlight = (node, addItems, text, className) => { + if (node.nodeType === Node.TEXT_NODE) { + const val = node.nodeValue; + const parent = node.parentNode; + const pos = val.toLowerCase().indexOf(text); + if ( + pos >= 0 && + !parent.classList.contains(className) && + !parent.classList.contains("nohighlight") + ) { + let span; + + const closestNode = parent.closest("body, svg, foreignObject"); + const isInSVG = closestNode && closestNode.matches("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.classList.add(className); + } + + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + const rest = document.createTextNode(val.substr(pos + text.length)); + parent.insertBefore( + span, + parent.insertBefore( + rest, + node.nextSibling + ) + ); + node.nodeValue = val.substr(0, pos); + /* There may be more occurrences of search term in this node. So call this + * function recursively on the remaining fragment. + */ + _highlight(rest, addItems, text, className); + + if (isInSVG) { + const rect = document.createElementNS( + "http://www.w3.org/2000/svg", + "rect" + ); + const bbox = parent.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute("class", className); + addItems.push({ parent: parent, target: rect }); + } + } + } else if (node.matches && !node.matches("button, select, textarea")) { + node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); + } +}; +const _highlightText = (thisNode, text, className) => { + let addItems = []; + _highlight(thisNode, addItems, text, className); + addItems.forEach((obj) => + obj.parent.insertAdjacentElement("beforebegin", obj.target) + ); +}; + +/** + * Small JavaScript module for the documentation. + */ +const SphinxHighlight = { + + /** + * highlight the search words provided in localstorage in the text + */ + highlightSearchWords: () => { + if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight + + // get and clear terms from localstorage + const url = new URL(window.location); + const highlight = + localStorage.getItem("sphinx_highlight_terms") + || url.searchParams.get("highlight") + || ""; + localStorage.removeItem("sphinx_highlight_terms") + url.searchParams.delete("highlight"); + window.history.replaceState({}, "", url); + + // get individual terms from highlight string + const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); + if (terms.length === 0) return; // nothing to do + + // There should never be more than one element matching "div.body" + const divBody = document.querySelectorAll("div.body"); + const body = divBody.length ? divBody[0] : document.querySelector("body"); + window.setTimeout(() => { + terms.forEach((term) => _highlightText(body, term, "highlighted")); + }, 10); + + const searchBox = document.getElementById("searchbox"); + if (searchBox === null) return; + searchBox.appendChild( + document + .createRange() + .createContextualFragment( + '

' + + '' + + _("Hide Search Matches") + + "

" + ) + ); + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords: () => { + document + .querySelectorAll("#searchbox .highlight-link") + .forEach((el) => el.remove()); + document + .querySelectorAll("span.highlighted") + .forEach((el) => el.classList.remove("highlighted")); + localStorage.removeItem("sphinx_highlight_terms") + }, + + initEscapeListener: () => { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; + if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { + SphinxHighlight.hideSearchWords(); + event.preventDefault(); + } + }); + }, +}; + +_ready(() => { + /* Do not call highlightSearchWords() when we are on the search page. + * It will highlight words from the *previous* search query. + */ + if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); + SphinxHighlight.initEscapeListener(); +}); diff --git a/farms/farms.disc.html b/farms/farms.disc.html new file mode 100644 index 0000000..2a827fd --- /dev/null +++ b/farms/farms.disc.html @@ -0,0 +1,183 @@ + + + + + + + farms.disc module — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.disc module

+

Created on Wed Jun 25 13:26:21 2014

+

@author: alopez, aweekley

+

These are functions adapted from PVL_Python. +There were four main changes from the original code

+
+
    +

  1. functions were vectorized

    2. +

  2. pvl_ephemeris expects UTC time

    3. +

  3. removed unused result calculations

    4. +

  4. Water and Pressure were changed to vectors from scalers

    5. +
+
+
+
+farms.disc.disc(ghi, sza, doy, pressure=1013.25, sza_lim=87)[source]
+

Estimate DNI from GHI using the DISC model.

+

*Warning: should only be used for cloudy FARMS data.

+

The DISC algorithm converts global horizontal irradiance to direct +normal irradiance through empirical relationships between the global +and direct clearness indices.

+
+
Parameters:
+
    +

  • ghi (np.ndarray) – Global horizontal irradiance in W/m2.

    • +

  • sza (np.ndarray) – Solar zenith angle in degrees.

    • +

  • doy (np.ndarray) – Day of year (array of integers).

    • +

  • pressure (np.ndarray) – Pressure in mbar (same as hPa).

    • +

  • sza_lim (float | int) – Upper limit for solar zenith angle in degrees. SZA values greater than +this will be truncated at this value. 87 deg chosen to simulate the +FORTRAN code in use by SRRL (from Perez).

    • +
+
+
Returns:
+

DNI (np.ndarray) – Estimated direct normal irradiance in W/m2.

+
+
+
+ +
+ + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + \ No newline at end of file diff --git a/farms/farms.farms.html b/farms/farms.farms.html new file mode 100644 index 0000000..bdd0a8d --- /dev/null +++ b/farms/farms.farms.html @@ -0,0 +1,145 @@ + + + + + + + farms.farms module — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.farms module

+
+ + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + \ No newline at end of file diff --git a/farms/farms.html b/farms/farms.html new file mode 100644 index 0000000..f7299a1 --- /dev/null +++ b/farms/farms.html @@ -0,0 +1,160 @@ + + + + + + + farms package — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms package

+

FARMS package

+
+

Submodules

+
+ +
+
+
+ + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + \ No newline at end of file diff --git a/farms/farms.utilities.html b/farms/farms.utilities.html new file mode 100644 index 0000000..5b50dbe --- /dev/null +++ b/farms/farms.utilities.html @@ -0,0 +1,145 @@ + + + + + + + farms.utilities module — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.utilities module

+
+ + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + \ No newline at end of file diff --git a/farms/farms.version.html b/farms/farms.version.html new file mode 100644 index 0000000..c21c417 --- /dev/null +++ b/farms/farms.version.html @@ -0,0 +1,146 @@ + + + + + + + farms.version module — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

farms.version module

+

FARMS version number

+
+ + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + \ No newline at end of file diff --git a/genindex.html b/genindex.html new file mode 100644 index 0000000..68d03ee --- /dev/null +++ b/genindex.html @@ -0,0 +1,241 @@ + + + + + + Index — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ + +

Index

+ +
+ D + | F + | M + | P + | T + +
+

D

+ + +
+ +

F

+ + + +
+ +

M

+ + +
+ +

P

+ + + +
+ +

T

+ + + +
+ + + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
+
+
+
+
+ + + + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..cd47c14 --- /dev/null +++ b/index.html @@ -0,0 +1,235 @@ + + + + + + + rex documentation — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

rex documentation

+
+

What is farms?

+

FARMS is the Fast All-sky Radiation Model for Solar applications and is used to +compute cloudy irradiance.

+
+
+

Installing farms

+ + +
+ +
+

Indices and tables

+ +
+
+ + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
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+
+
+
+ + + + \ No newline at end of file diff --git a/installation.html b/installation.html new file mode 100644 index 0000000..cb96c31 --- /dev/null +++ b/installation.html @@ -0,0 +1,150 @@ + + + + + + + Installation — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Installation

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/objects.inv b/objects.inv new file mode 100644 index 0000000..dd4f279 Binary files /dev/null and b/objects.inv differ diff --git a/py-modindex.html b/py-modindex.html new file mode 100644 index 0000000..62cdbab --- /dev/null +++ b/py-modindex.html @@ -0,0 +1,176 @@ + + + + + + Python Module Index — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+
    +
    • +
  • Python Module Index
    • +
  • +
    • +
+
+
+
+
+ + +

Python Module Index

+ +
+ f +
+ + + + + + + + + + + + + + + + +
 
+ f
+ farms +
    + farms.disc +
    + farms.farms_dni +
    + farms.version +
+ + +
+
+
+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
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+
+
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+ + + + \ No newline at end of file diff --git a/search.html b/search.html new file mode 100644 index 0000000..c35a4d7 --- /dev/null +++ b/search.html @@ -0,0 +1,161 @@ + + + + + + Search — farms 1.0.6 documentation + + + + + + + + + + + + + + + + + + + + +
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  • Search
    • +
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+
+
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+ + + + +
+ +
+ +
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+ +
+ +
+

© Copyright 2020, Alliance for Sustainable Energy, LLC.

+
+ + Built with Sphinx using a + theme + provided by Read the Docs. + + +
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+
+
+
+ + + + + + + + + \ No newline at end of file diff --git a/searchindex.js b/searchindex.js new file mode 100644 index 0000000..92dcc87 --- /dev/null +++ b/searchindex.js @@ -0,0 +1 @@ +Search.setIndex({"alltitles": {"Contents:": [[15, null]], "Indices and tables": [[15, "indices-and-tables"]], "Installation": [[16, "installation"]], "Installing farms": [[15, "installing-farms"]], "Option 1: Install from PIP or Conda (recommended for analysts):": [[15, "option-1-install-from-pip-or-conda-recommended-for-analysts"]], "Option 2: Clone repo (recommended for developers)": [[15, "option-2-clone-repo-recommended-for-developers"]], "Recommended Citation": [[15, "recommended-citation"]], "Submodules": [[10, "submodules"]], "What is farms?": [[15, "what-is-farms"]], "farms": [[0, "module-farms"]], "farms package": [[10, "module-farms"]], "farms.disc": [[1, "module-farms.disc"]], "farms.disc module": [[11, "module-farms.disc"]], "farms.disc.disc": [[2, "farms-disc-disc"]], "farms.farms module": 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