pyet - Estimation of Potential Evapotranspiration#
pyet is an open source Python package for the estimation of reference and potential evapotranspiration (PET) from time series data (Pandas) and gridded data (Xarray). This allows users to estimate potential evapotranspiration and calibrate the models with just a few lines of python code.
Currently, 18 methods are implemented for calculating daily PET#
Method name |
pyet function |
T |
RH |
R |
u2 |
Lat. |
El. |
Benchmarked? |
---|---|---|---|---|---|---|---|---|
Penman |
penman |
✓ [1] |
✓ [2] |
✓ [3] |
✓ |
✓ [3] |
✓ [4] |
✓ |
Penman-Monteith |
pm |
✓ [1] |
✓ [2] |
✓ [3] |
✓ |
✓ [3] |
✓ [4] |
✓ |
ASCE-PM |
pm_asce |
✓ [1] |
✓ [2] |
✓ [3] |
✓ |
✓ [3] |
✓ [4] |
✓ |
FAO-56 |
pm_fao56 |
✓ [1] |
✓ [2] |
✓ [3] |
✓ |
✓ [3] |
✓ [4] |
✓ |
Priestley-Taylor |
priestley_taylor |
✓ |
✓ [5] |
✓ [5] |
✓ [5] |
✓ [4] |
✓ |
|
Kimberly-Penman |
kimberly_penman |
✓ [1] |
✓ [2] |
✓ [3] |
✓ |
✓ [3] |
✓ [4] |
|
Thom-Oliver |
thom_oliver |
✓ [1] |
✓ [2] |
✓ [3] |
✓ |
✓ [3] |
✓ [4] |
|
Blaney-Criddle |
blaney_criddle |
✓ |
|
|
|
✓ |
✓ |
|
Hamon |
hamon |
✓ |
✓ |
✓ |
||||
Romanenko |
romanenko |
✓ |
✓ |
✓ |
||||
Linacre |
linacre |
✓ [7] |
✓ |
✓ |
||||
Haude |
haude |
✓ |
✓ [8] |
✓ |
||||
Turc |
turc |
✓ |
✓ |
✓ |
✓ |
|||
Jensen-Haise |
jensen_haise |
✓ |
✓ [9] |
✓ [9] |
✓ |
|||
McGuinness-Bordne |
mcguinness_bordne |
✓ |
✓ |
✓ |
||||
Hargreaves |
hargreaves |
✓ [10] |
✓ |
✓ |
||||
FAO-24 radiation |
fao_24 |
✓ |
✓ |
✓ |
✓ |
✓ [4] |
||
Abtew |
abtew |
✓ |
✓ |
✓ |
||||
Makkink |
makkink |
✓ |
✓ |
✓ [4] |
✓ |
|||
Oudin |
oudin |
✓ |
✓ |
Footnotes
Using pyet? Show your support by citing us!#
If you find pyet useful and use it in your research or project, we kindly ask you to cite the pyet preprint published in Hydrology and Earth System Sciences (HESS) as follows:
- Vremec, M., Collenteur, R. A., and Birk, S.: Technical note: Improved handling of potential
evapotranspiration in hydrological studies with PyEt, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-417, 2023.