Articles | Volume 20, issue 3
https://doi.org/10.5194/hess-20-1211-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-1211-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Mar 2016
Research article |
| 21 Mar 2016
Creating long-term gridded fields of reference evapotranspiration in Alpine terrain based on a recalibrated Hargreaves method
Klaus Haslinger
CORRESPONDING AUTHOR
Central Institute for Meteorology and Geodynamics (ZAMG),
Climate Research Department, Vienna, Austria
Annett Bartsch
Central Institute for Meteorology and Geodynamics (ZAMG),
Climate Research Department, Vienna, Austria
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25 citations as recorded by crossref.
- Integrated urban water management with micro storages developed as an IoT-based solution – The smart rain barrel M. Oberascher et al. 10.1016/j.envsoft.2021.105028
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- Unusual catchment runoff in a high alpine karst environment influenced by a complex geological setting (Northern Calcareous Alps, Tyrol, Austria) K. Krainer et al. 10.1007/s10040-021-02405-0
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- Changes in Snow Depth, Snow Cover Duration, and Potential Snowmaking Conditions in Austria, 1961–2020—A Model Based Approach M. Olefs et al. 10.3390/atmos11121330
- Optimal Interpolation scheme to generate reference crop evapotranspiration M. Tomas-Burguera et al. 10.1016/j.jhydrol.2018.03.025
- Trends in torrential flooding in the Austrian Alps: A combination of climate change, exposure dynamics, and mitigation measures M. Schlögl et al. 10.1016/j.crm.2021.100294
- Remote sensing-based evapotranspiration modeling for urban green spaces: A case study in Vienna M. Obriejetan & T. Krexner 10.1016/j.uclim.2024.102192
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- Hyalomma spp. in Austria—The Tick, the Climate, the Diseases and the Risk for Humans and Animals G. Duscher et al. 10.3390/microorganisms10091761
- Learning vs. understanding: When does artificial intelligence outperform process-based modeling in soil organic carbon prediction? L. Bernardini et al. 10.1016/j.nbt.2024.03.001
- Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps M. Schlögl et al. 10.1007/s12665-024-12041-y
- Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data E. Robinson et al. 10.5194/hess-21-1189-2017
- Calibration and Modification of the Hargreaves–Samani Equation for Estimating Daily Reference Evapotranspiration in Iraq K. Al-Asadi et al. 10.1061/JHYEFF.HEENG-5877
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- Performance evaluation of NCEP/NCAR reanalysis blended with observation-based datasets for estimating reference evapotranspiration across Iran T. Raziei & A. Parehkar 10.1007/s00704-021-03578-0
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- Derivation of characteristic physioclimatic regions through density-based spatial clustering of high-dimensional data S. Lehner et al. 10.1016/j.envsoft.2025.106324
- Apparent contradiction in the projected climatic water balance for Austria: wetter conditions on average versus higher probability of meteorological droughts K. Haslinger et al. 10.5194/nhess-23-2749-2023
- A novel multi-scale parameter estimation approach to the Hargreaves-Samani equation for estimation of Penman-Monteith reference evapotranspiration H. Kim et al. 10.1016/j.agwat.2022.108038
25 citations as recorded by crossref.
- Integrated urban water management with micro storages developed as an IoT-based solution – The smart rain barrel M. Oberascher et al. 10.1016/j.envsoft.2021.105028
- Parametric Modelling of Potential Evapotranspiration: A Global Survey A. Tegos et al. 10.3390/w9100795
- Unusual catchment runoff in a high alpine karst environment influenced by a complex geological setting (Northern Calcareous Alps, Tyrol, Austria) K. Krainer et al. 10.1007/s10040-021-02405-0
- Assessment of liquid and solid water storage in rock glaciers versus glacier ice in the Austrian Alps T. Wagner et al. 10.1016/j.scitotenv.2021.149593
- Changes in Snow Depth, Snow Cover Duration, and Potential Snowmaking Conditions in Austria, 1961–2020—A Model Based Approach M. Olefs et al. 10.3390/atmos11121330
- Optimal Interpolation scheme to generate reference crop evapotranspiration M. Tomas-Burguera et al. 10.1016/j.jhydrol.2018.03.025
- Trends in torrential flooding in the Austrian Alps: A combination of climate change, exposure dynamics, and mitigation measures M. Schlögl et al. 10.1016/j.crm.2021.100294
- Remote sensing-based evapotranspiration modeling for urban green spaces: A case study in Vienna M. Obriejetan & T. Krexner 10.1016/j.uclim.2024.102192
- Climatology and trends of reference evapotranspiration in Spain M. Tomas‐Burguera et al. 10.1002/joc.6817
- Hyalomma spp. in Austria—The Tick, the Climate, the Diseases and the Risk for Humans and Animals G. Duscher et al. 10.3390/microorganisms10091761
- Learning vs. understanding: When does artificial intelligence outperform process-based modeling in soil organic carbon prediction? L. Bernardini et al. 10.1016/j.nbt.2024.03.001
- Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps M. Schlögl et al. 10.1007/s12665-024-12041-y
- Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data E. Robinson et al. 10.5194/hess-21-1189-2017
- Calibration and Modification of the Hargreaves–Samani Equation for Estimating Daily Reference Evapotranspiration in Iraq K. Al-Asadi et al. 10.1061/JHYEFF.HEENG-5877
- Reference crop evapotranspiration database in Spain (1961–2014) M. Tomas-Burguera et al. 10.5194/essd-11-1917-2019
- PyEt v1.3.1: a Python package for the estimation of potential evapotranspiration M. Vremec et al. 10.5194/gmd-17-7083-2024
- High-resolution carbon cycling data from 2019 to 2021 measured at six Austrian long-term ecosystem research sites T. Dirnböck et al. 10.5194/essd-17-685-2025
- Inferring sediment-discharge event types in an Alpine catchment from sub-daily time series A. Skålevåg et al. 10.5194/hess-28-4771-2024
- Past and future changes of the Austrian climate – Importance for tourism M. Olefs et al. 10.1016/j.jort.2021.100395
- Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps H. Lievens et al. 10.5194/tc-16-159-2022
- Performance evaluation of NCEP/NCAR reanalysis blended with observation-based datasets for estimating reference evapotranspiration across Iran T. Raziei & A. Parehkar 10.1007/s00704-021-03578-0
- Daily sunshine grids for Austria since 1961 – combining station and satellite observations for a multi-decadal climate-monitoring dataset J. Hiebl et al. 10.1007/s00704-024-05103-5
- Derivation of characteristic physioclimatic regions through density-based spatial clustering of high-dimensional data S. Lehner et al. 10.1016/j.envsoft.2025.106324
- Apparent contradiction in the projected climatic water balance for Austria: wetter conditions on average versus higher probability of meteorological droughts K. Haslinger et al. 10.5194/nhess-23-2749-2023
- A novel multi-scale parameter estimation approach to the Hargreaves-Samani equation for estimation of Penman-Monteith reference evapotranspiration H. Kim et al. 10.1016/j.agwat.2022.108038
Saved (preprint)
Latest update: 07 Mar 2025
Short summary
Gridded fields of daily max. and min. temperatures for the Austrian domain are used to calculate ET0 based on a re-calibrated Hargreaves method. Newly derived, station-based calibration parameters, with Penman–Monteith ET0 as a reference, show a distinct altitude and seasonal dependence. Theses features are used to interpolate the new calibration values in space and time onto the temperature grids. The ET0 is then calculated based on the entire gridded temperature data starting back in 1961.
Gridded fields of daily max. and min. temperatures for the Austrian domain are used to calculate...
