================================================================================
OpenET - Google Earth Engine ASCE Standardized Reference Evapotranspiration (ET)
================================================================================
|version| |build|
This repository provides `Google Earth Engine <https://earthengine.google.com/>`__ Python API based implementation of the ASCE Standardized Reference Evapotranspiration Equations (ASCE2005_) for computing daily and hourly reference ET.
Usage
=====
Daily
-----
The following demonstrates how to compute a single daily ETr value using weather data for 2015-07-01 from the `Fallon, NV AgriMet station <https://www.usbr.gov/pn/agrimet/agrimetmap/falnda.html>`__.
The necessary unit conversions are shown on the input values.
The raw input data is available `here <https://www.usbr.gov/pn-bin/daily.pl?station=FALN&year=2015&month=7&day=1&year=2015&month=7&day=1&pcode=ETRS&pcode=MN&pcode=MX&pcode=SR&pcode=YM&pcode=UA>`__.
.. code-block:: console
import math
import ee
import openet.refetgee
# Unit conversions
tmin_c = (66.65 - 32) * (5.0 / 9) # F -> C
tmax_c = (102.80 - 32) * (5.0 / 9) # F -> C
tdew_c = (57.26 - 32) * (5.0 / 9) # F -> C
ea = 0.6108 * math.exp(17.27 * tdew_c / (tdew_c + 237.3)) # kPa
rs = (674.07 * 0.041868) # Langleys -> MJ m-2 d-1
uz = 4.80 * 0.44704 # mpg -> m s-1
lat = 39.4575 # degrees
etr = openet.refetgee.Daily(
tmin=tmin_c, tmax=tmax_c, ea=ea, rs=rs, uz=uz, zw=3, elev=1208.5,
lat=lat, doy=182).etr.getInfo()
print('ETr: {:.2f} mm'.format(float(etr)))
Hourly
------
The following demonstrates how to compute a single hourly ETr value using weather data for 18:00 UTC (11:00 AM PDT) on 2015-07-01 from the `Fallon, NV AgriMet station <https://www.usbr.gov/pn/agrimet/agrimetmap/falnda.html>`__.
The necessary unit conversions are shown on the input values.
The raw input data is available `here <https://www.usbr.gov/pn-bin/instant.pl?station=FALN&year=2015&month=7&day=1&year=2015&month=7&day=1&pcode=OB&pcode=EA&pcode=WS&pcode=SI&print_hourly=1>`__
.. code-block:: console
import math
import ee
import openet.refetgee
# Unit conversions
tmean_c = (91.80 - 32) * (5.0 / 9) # F -> C
ea = 1.20 # kPa
rs = (61.16 * 0.041868) # Langleys -> MJ m-2 h-1
uz = 3.33 * 0.44704 # mph -> m s-1
lat = 39.4575 # degrees
lon = -118.77388 # degrees
etr = openet.refetgee.Hourly(
tmean=tmean_c, ea=ea, rs=rs, uz=uz, zw=3, elev=1208.5,
lat=lat, lon=lon, doy=182, time=18).etr.getInfo()
print('ETr: {:.2f} mm'.format(float(etr)))
GRIDMET
-------
A helper function for computing daily ETo and ETr for `GRIDMET <http://www.climatologylab.org/gridmet.html>`__ images is available.
.. code-block:: console
import ee
import openet.refetgee
source_img = ee.Image(ee.ImageCollection('IDAHO_EPSCOR/GRIDMET').first())
etr = openet.refetgee.Daily.gridmet(source_img).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
NLDAS
-----
Helper functions for computing daily/hourly ETo/ETr for `NLDAS <https://ldas.gsfc.nasa.gov/nldas/NLDAS2forcing.php>`__ images are available.
For the daily function, the NLDAS collection must be filtered to a single 24 hour period.
.. code-block:: console
import ee
import openet.refetgee
source_coll = ee.ImageCollection('NASA/NLDAS/FORA0125_H002')\
.filterDate('2015-07-01', '2015-07-02')
etr = openet.refetgee.Daily.nldas(source_coll).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
.. code-block:: console
import ee
import openet.refetgee
source_img = ee.Image('NASA/NLDAS/FORA0125_H002/A20150701_2000')
etr = openet.refetgee.Hourly.nldas(source_img).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
CFSv2
-----
A helper function for computing daily ETo and ETr for `CFSv2 <http://>`__ images is available.
For the daily function, the CFSv2 collection must be filtered to a single 24 hour period.
.. code-block:: console
import ee
import openet.refetgee
source_coll = ee.ImageCollection('NOAA/CFSV2/FOR6H')\
.filterDate('2015-07-01', '2015-07-02')
etr = openet.refetgee.Daily.cfsv2(source_coll).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
RTMA
-----
Helper functions for computing daily/hourly ETo/ETr for `RTMA <https://>`__ images are available.
For the daily function, the RTMA collection must be filtered to a single 24 hour period.
.. code-block:: console
import ee
import openet.refetgee
source_coll = ee.ImageCollection('NOAA/NWS/RTMA')\
.filterDate('2015-07-01', '2015-07-02')
etr = openet.refetgee.Daily.rtma(source_coll).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
.. code-block:: console
import ee
import openet.refetgee
source_img = ee.Image('NOAA/NWS/RTMA/2015070120')
etr = openet.refetgee.Hourly.nldas(source_img).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
ERA5-Land
---------
Helper functions for computing daily/hourly ETo/ETr for `ERA5-Land <https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land>`__ images are available.
For the daily function, the ERA5-Land collection must be filtered to a single 24 hour period.
.. code-block:: console
import ee
import openet.refetgee
source_coll = ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY')\
.filterDate('2015-07-01', '2015-07-02')
etr = openet.refetgee.Daily.era5_land(source_coll).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
.. code-block:: console
import ee
import openet.refetgee
source_img = ee.Image('ECMWF/ERA5_LAND/HOURLY/20150701T20')
etr = openet.refetgee.Hourly.era5_land(source_img).etr\
.reduceRegion(reducer=ee.Reducer.first(),
geometry=ee.Geometry.Point(-118.77388, 39.4575),
scale=1000)\
.getInfo()
print('ETr: {:.2f} mm'.format(float(etr['etr'])))
Input Parameters
================
Required Parameters (hourly & daily)
------------------------------------
======== =================== =================================================
Variable Type Description [units]
======== =================== =================================================
ea ee.Image Actual vapor pressure [kPa]
rs ee.Image Incoming shortwave solar radiation [MJ m-2 day-1]
uz ee.Image Wind speed [m s-1]
zw ee.Number Wind speed height [m]
elev ee.Image, ee.Number Elevation [m]
lat ee.Image, ee.Number Latitude [degrees]
doy ee.Image, ee.Number Day of year
======== =================== =================================================
Required Daily Parameters
-------------------------
======== =================== =================================================
Variable Type Description [units]
======== =================== =================================================
tmin ee.Image Minimum daily temperature [C]
tmax ee.Image Maximum daily temperature [C]
======== =================== =================================================
Required Hourly Parameters
--------------------------
======== =================== =================================================
Variable Type Description [units]
======== =================== =================================================
tmean ee.Image Average hourly temperature [C]
lon ee.Image, ee.Number Longitude [degrees]
time ee.Number UTC hour at start of time period
======== =================== =================================================
Optional Parameters
-------------------
======== =================== ====================================================
Variable Type Description [units]
======== =================== ====================================================
method str | Calculation method
* 'asce' -- Calculations will follow ASCE-EWRI 2005 (default)
* 'refet' -- Calculations will follow RefET software
rso_type str | Override default clear sky solar radiation (Rso) calculation
| Defaults to None if not set
* 'full' -- Full clear sky solar formulation (default)
* 'simple' -- Simplified clear sky solar formulation (Eq. 19)
* 'array' -- Read Rso values from "rso" function parameter
rso ee.Image, ee.Number | Clear sky solar radiation [MJ m-2 day-1]
* Only needed if rso_type is 'array'
* Defaults to None if not set
======== =================== ====================================================
Issues
======
Currently the user must handle all of the file I/O and unit conversions.
Cloudiness Fraction (hourly)
----------------------------
The cloudiness fraction (fcd) is computed as the ratio of the measured solar radiation (Rs) to the theoretical clear sky solar radiation (Rso). This ratio cannot be computed directly at night since Rso is 0. ASCE-EWRI 2005 suggests computing a representative nighttime fcd based on the fcd at sunset and/or sunrise.
In the RefET module fcd is hard coded to 1 for all time steps with very low sun angles since the hourly reference ET is computed independently for each time step.
Calculation Method - ASCE vs. RefET
===================================
The main difference between the two "methods" is that the "asce" method attempts to follow the equations in ASCE2005_, whereas the "refet" method attempts to follow the calculations of the `RefET Software <https://www.uidaho.edu/cals/kimberly-research-and-extension-center/research/water-resources/ref-et-software>`__ as closely as possible. The difference in output between these methods is generally negligible (if not identical for realistic numbers of significant digits). Note that the default is set to "asce" to best match the calculations a user would expect to have happen. The "refet" method was added in order to help validate this code to the RefET Software.
Installation
============
The OpenET RefET GEE python module can be installed via pip:
.. code-block:: console
pip install openet-refet-gee
OpenET Namespace Package
========================
Each OpenET model is stored in the "openet" folder (namespace). The model can then be imported as a "dot" submodule of the main openet module.
.. code-block:: console
import openet.refetgee as refetgee
Validation
==========
Please see the `validation document <VALIDATION.md>`__ for additional details on the source of the test values and the comparison of the functions to the Ref-ET software.
Dependencies
============
* `earthengine-api <https://github.com/google/earthengine-api>`__
Modules needed to run the test suite:
* `pandas <http://pandas.pydata.org>`__
* `pytest <https://docs.pytest.org/en/latest/>`__
* `pytz <http://pythonhosted.org/pytz/>`__
References
==========
.. [ASCE2005]
| ASCE-EWRI (2005). The ASCE standardized reference evapotranspiration equation.
| `https://ascelibrary.org/doi/book/10.1061/9780784408056 <https://ascelibrary.org/doi/book/10.1061/9780784408056>`__
.. |build| image:: https://github.com/Open-ET/openet-refet-gee/workflows/build/badge.svg
:alt: Build status
:target: https://github.com/Open-ET/openet-refet-gee
.. |version| image:: https://badge.fury.io/py/openet-refet-gee.svg
:alt: Latest version on PyPI
:target: https://badge.fury.io/py/openet-refet-gee
Raw data
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"keywords": "RefET OpenET Evapotranspiration Earth Engine",
"author": "Charles Morton",
"author_email": "charles.morton@dri.edu",
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"description": "================================================================================\nOpenET - Google Earth Engine ASCE Standardized Reference Evapotranspiration (ET)\n================================================================================\n\n|version| |build|\n\nThis repository provides `Google Earth Engine <https://earthengine.google.com/>`__ Python API based implementation of the ASCE Standardized Reference Evapotranspiration Equations (ASCE2005_) for computing daily and hourly reference ET.\n\nUsage\n=====\n\nDaily\n-----\n\nThe following demonstrates how to compute a single daily ETr value using weather data for 2015-07-01 from the `Fallon, NV AgriMet station <https://www.usbr.gov/pn/agrimet/agrimetmap/falnda.html>`__.\nThe necessary unit conversions are shown on the input values.\nThe raw input data is available `here <https://www.usbr.gov/pn-bin/daily.pl?station=FALN&year=2015&month=7&day=1&year=2015&month=7&day=1&pcode=ETRS&pcode=MN&pcode=MX&pcode=SR&pcode=YM&pcode=UA>`__.\n\n.. code-block:: console\n\n import math\n import ee\n import openet.refetgee\n\n # Unit conversions\n tmin_c = (66.65 - 32) * (5.0 / 9) # F -> C\n tmax_c = (102.80 - 32) * (5.0 / 9) # F -> C\n tdew_c = (57.26 - 32) * (5.0 / 9) # F -> C\n ea = 0.6108 * math.exp(17.27 * tdew_c / (tdew_c + 237.3)) # kPa\n rs = (674.07 * 0.041868) # Langleys -> MJ m-2 d-1\n uz = 4.80 * 0.44704 # mpg -> m s-1\n lat = 39.4575 # degrees\n\n etr = openet.refetgee.Daily(\n tmin=tmin_c, tmax=tmax_c, ea=ea, rs=rs, uz=uz, zw=3, elev=1208.5,\n lat=lat, doy=182).etr.getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr)))\n\nHourly\n------\n\nThe following demonstrates how to compute a single hourly ETr value using weather data for 18:00 UTC (11:00 AM PDT) on 2015-07-01 from the `Fallon, NV AgriMet station <https://www.usbr.gov/pn/agrimet/agrimetmap/falnda.html>`__.\nThe necessary unit conversions are shown on the input values.\nThe raw input data is available `here <https://www.usbr.gov/pn-bin/instant.pl?station=FALN&year=2015&month=7&day=1&year=2015&month=7&day=1&pcode=OB&pcode=EA&pcode=WS&pcode=SI&print_hourly=1>`__\n\n.. code-block:: console\n\n import math\n import ee\n import openet.refetgee\n\n # Unit conversions\n tmean_c = (91.80 - 32) * (5.0 / 9) # F -> C\n ea = 1.20 # kPa\n rs = (61.16 * 0.041868) # Langleys -> MJ m-2 h-1\n uz = 3.33 * 0.44704 # mph -> m s-1\n lat = 39.4575 # degrees\n lon = -118.77388 # degrees\n\n etr = openet.refetgee.Hourly(\n tmean=tmean_c, ea=ea, rs=rs, uz=uz, zw=3, elev=1208.5,\n lat=lat, lon=lon, doy=182, time=18).etr.getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr)))\n\nGRIDMET\n-------\n\nA helper function for computing daily ETo and ETr for `GRIDMET <http://www.climatologylab.org/gridmet.html>`__ images is available.\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_img = ee.Image(ee.ImageCollection('IDAHO_EPSCOR/GRIDMET').first())\n etr = openet.refetgee.Daily.gridmet(source_img).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\nNLDAS\n-----\n\nHelper functions for computing daily/hourly ETo/ETr for `NLDAS <https://ldas.gsfc.nasa.gov/nldas/NLDAS2forcing.php>`__ images are available.\n\nFor the daily function, the NLDAS collection must be filtered to a single 24 hour period.\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_coll = ee.ImageCollection('NASA/NLDAS/FORA0125_H002')\\\n .filterDate('2015-07-01', '2015-07-02')\n etr = openet.refetgee.Daily.nldas(source_coll).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_img = ee.Image('NASA/NLDAS/FORA0125_H002/A20150701_2000')\n etr = openet.refetgee.Hourly.nldas(source_img).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\nCFSv2\n-----\n\nA helper function for computing daily ETo and ETr for `CFSv2 <http://>`__ images is available.\n\nFor the daily function, the CFSv2 collection must be filtered to a single 24 hour period.\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_coll = ee.ImageCollection('NOAA/CFSV2/FOR6H')\\\n .filterDate('2015-07-01', '2015-07-02')\n etr = openet.refetgee.Daily.cfsv2(source_coll).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\nRTMA\n-----\n\nHelper functions for computing daily/hourly ETo/ETr for `RTMA <https://>`__ images are available.\n\nFor the daily function, the RTMA collection must be filtered to a single 24 hour period.\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_coll = ee.ImageCollection('NOAA/NWS/RTMA')\\\n .filterDate('2015-07-01', '2015-07-02')\n etr = openet.refetgee.Daily.rtma(source_coll).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_img = ee.Image('NOAA/NWS/RTMA/2015070120')\n etr = openet.refetgee.Hourly.nldas(source_img).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\nERA5-Land\n---------\n\nHelper functions for computing daily/hourly ETo/ETr for `ERA5-Land <https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land>`__ images are available.\n\nFor the daily function, the ERA5-Land collection must be filtered to a single 24 hour period.\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_coll = ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY')\\\n .filterDate('2015-07-01', '2015-07-02')\n etr = openet.refetgee.Daily.era5_land(source_coll).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\n.. code-block:: console\n\n import ee\n import openet.refetgee\n\n source_img = ee.Image('ECMWF/ERA5_LAND/HOURLY/20150701T20')\n etr = openet.refetgee.Hourly.era5_land(source_img).etr\\\n .reduceRegion(reducer=ee.Reducer.first(),\n geometry=ee.Geometry.Point(-118.77388, 39.4575),\n scale=1000)\\\n .getInfo()\n\n print('ETr: {:.2f} mm'.format(float(etr['etr'])))\n\nInput Parameters\n================\n\nRequired Parameters (hourly & daily)\n------------------------------------\n\n======== =================== =================================================\nVariable Type Description [units]\n======== =================== =================================================\nea ee.Image Actual vapor pressure [kPa]\nrs ee.Image Incoming shortwave solar radiation [MJ m-2 day-1]\nuz ee.Image Wind speed [m s-1]\nzw ee.Number Wind speed height [m]\nelev ee.Image, ee.Number Elevation [m]\nlat ee.Image, ee.Number Latitude [degrees]\ndoy ee.Image, ee.Number Day of year\n======== =================== =================================================\n\nRequired Daily Parameters\n-------------------------\n\n======== =================== =================================================\nVariable Type Description [units]\n======== =================== =================================================\ntmin ee.Image Minimum daily temperature [C]\ntmax ee.Image Maximum daily temperature [C]\n======== =================== =================================================\n\nRequired Hourly Parameters\n--------------------------\n\n======== =================== =================================================\nVariable Type Description [units]\n======== =================== =================================================\ntmean ee.Image Average hourly temperature [C]\nlon ee.Image, ee.Number Longitude [degrees]\ntime ee.Number UTC hour at start of time period\n======== =================== =================================================\n\nOptional Parameters\n-------------------\n\n======== =================== ====================================================\nVariable Type Description [units]\n======== =================== ====================================================\nmethod str | Calculation method\n\n * 'asce' -- Calculations will follow ASCE-EWRI 2005 (default)\n * 'refet' -- Calculations will follow RefET software\n\nrso_type str | Override default clear sky solar radiation (Rso) calculation\n | Defaults to None if not set\n\n * 'full' -- Full clear sky solar formulation (default)\n * 'simple' -- Simplified clear sky solar formulation (Eq. 19)\n * 'array' -- Read Rso values from \"rso\" function parameter\n\nrso ee.Image, ee.Number | Clear sky solar radiation [MJ m-2 day-1]\n\n * Only needed if rso_type is 'array'\n * Defaults to None if not set\n\n======== =================== ====================================================\n\nIssues\n======\n\nCurrently the user must handle all of the file I/O and unit conversions.\n\nCloudiness Fraction (hourly)\n----------------------------\n\nThe cloudiness fraction (fcd) is computed as the ratio of the measured solar radiation (Rs) to the theoretical clear sky solar radiation (Rso). This ratio cannot be computed directly at night since Rso is 0. ASCE-EWRI 2005 suggests computing a representative nighttime fcd based on the fcd at sunset and/or sunrise.\n\nIn the RefET module fcd is hard coded to 1 for all time steps with very low sun angles since the hourly reference ET is computed independently for each time step.\n\nCalculation Method - ASCE vs. RefET\n===================================\n\nThe main difference between the two \"methods\" is that the \"asce\" method attempts to follow the equations in ASCE2005_, whereas the \"refet\" method attempts to follow the calculations of the `RefET Software <https://www.uidaho.edu/cals/kimberly-research-and-extension-center/research/water-resources/ref-et-software>`__ as closely as possible. The difference in output between these methods is generally negligible (if not identical for realistic numbers of significant digits). Note that the default is set to \"asce\" to best match the calculations a user would expect to have happen. The \"refet\" method was added in order to help validate this code to the RefET Software.\n\nInstallation\n============\n\nThe OpenET RefET GEE python module can be installed via pip:\n\n.. code-block:: console\n\n pip install openet-refet-gee\n\nOpenET Namespace Package\n========================\n\nEach OpenET model is stored in the \"openet\" folder (namespace). The model can then be imported as a \"dot\" submodule of the main openet module.\n\n.. code-block:: console\n\n import openet.refetgee as refetgee\n\nValidation\n==========\n\nPlease see the `validation document <VALIDATION.md>`__ for additional details on the source of the test values and the comparison of the functions to the Ref-ET software.\n\nDependencies\n============\n\n * `earthengine-api <https://github.com/google/earthengine-api>`__\n\nModules needed to run the test suite:\n\n * `pandas <http://pandas.pydata.org>`__\n * `pytest <https://docs.pytest.org/en/latest/>`__\n * `pytz <http://pythonhosted.org/pytz/>`__\n\nReferences\n==========\n\n.. [ASCE2005]\n | ASCE-EWRI (2005). The ASCE standardized reference evapotranspiration equation.\n | `https://ascelibrary.org/doi/book/10.1061/9780784408056 <https://ascelibrary.org/doi/book/10.1061/9780784408056>`__\n\n.. |build| image:: https://github.com/Open-ET/openet-refet-gee/workflows/build/badge.svg\n :alt: Build status\n :target: https://github.com/Open-ET/openet-refet-gee\n.. |version| image:: https://badge.fury.io/py/openet-refet-gee.svg\n :alt: Latest version on PyPI\n :target: https://badge.fury.io/py/openet-refet-gee\n",
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