Articles | Volume 14, issue 1
https://doi.org/10.5194/essd-14-163-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-163-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
20 Jan 2022
Data description paper |
| 20 Jan 2022
| 20 Jan 2022
Correcting Thornthwaite potential evapotranspiration using a global grid of local coefficients to support temperature-based estimations of reference evapotranspiration and aridity indices
Soil and Water Resources Institute, Hellenic Agricultural Organization – DEMETER, Thessaloniki – Thermi, 57001, Greece
Dimos Touloumidis
Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Marie-Claire ten Veldhuis
Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Miriam Coenders-Gerrits
Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
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Gijsbert A. Vis, Oscar K. Hartogensis, Marie-Claire ten Veldhuis, Bas J. H. van de Wiel, and Miriam Coenders-Gerrits
EGUsphere, https://doi.org/10.5194/egusphere-2025-6125, https://doi.org/10.5194/egusphere-2025-6125, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Heat exchange between land and air mainly happens through turbulence. Usually turbulence is measured at one location over time, but it also happens over space. In this study, we use fiber optic cables (DTS) that can measure temperature to capture turbulence over time, as well as directly over space. If compared with conventional instruments, we found a good correlation but also an underestimation. We recommend using DTS alongside with conventional instruments so they can complement each other.
Luuk D. van der Valk, Oscar K. Hartogensis, Miriam Coenders-Gerrits, Rolf W. Hut, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 29, 6589–6606, https://doi.org/10.5194/hess-29-6589-2025, https://doi.org/10.5194/hess-29-6589-2025, 2025
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals as instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential of using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
Constantijn G. B. ter Horst, Gijsbert A. Vis, Judith Jongen-Boekee, Marie-Claire ten Veldhuis, Rolf W. Hut, and Bas J. H. van de Wiel
Atmos. Meas. Tech., 18, 6853–6867, https://doi.org/10.5194/amt-18-6853-2025, https://doi.org/10.5194/amt-18-6853-2025, 2025
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We present the the Fine Resolution Adaptable Distributed Temperature Sensing (FRADTS) method, which allows for mm-resolution probing of vertical temperature profiles, using coil-based distributed temperature sensing. The method is fully open source and parametric, such that unique field setups can be generated and reproduced. The method is extensively tested within a ~10cm grass canopy in a field campaign.
Luuk D. van der Valk, Oscar K. Hartogensis, Miriam Coenders-Gerrits, Rolf W. Hut, Bas Walraven, and Remko Uijlenhoet
Atmos. Meas. Tech., 18, 6143–6165, https://doi.org/10.5194/amt-18-6143-2025, https://doi.org/10.5194/amt-18-6143-2025, 2025
Short summary
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals to instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential for using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 3545–3568, https://doi.org/10.5194/hess-29-3545-2025, https://doi.org/10.5194/hess-29-3545-2025, 2025
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This research examines how future climate changes impact root zone storage, a key hydrological model parameter. Root zone storage – the soil water accessible to plants – adapts to climate but is often kept constant in models. We estimated climate-adapted storage in six Austrian Alps catchments. While storage increased, streamflow projections showed minimal change, which suggests that dynamic root zone representation is less critical in humid regions but warrants further study in arid areas.
Xuan Chen, Job Augustijn van der Werf, Arjan Droste, Miriam Coenders-Gerrits, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 29, 3447–3480, https://doi.org/10.5194/hess-29-3447-2025, https://doi.org/10.5194/hess-29-3447-2025, 2025
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The review highlights the need to integrate urban land surface and hydrological models to better predict and manage compound climate events in cities. We find that inadequate representation of water surfaces, hydraulic systems and detailed building representations are key areas for improvement in future models. Coupled models show promise but face challenges at regional and neighbourhood scales. Interdisciplinary communication is crucial to enhance urban hydrometeorological simulations.
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 1703–1723, https://doi.org/10.5194/hess-29-1703-2025, https://doi.org/10.5194/hess-29-1703-2025, 2025
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
Henry M. Zimba, Miriam Coenders-Gerrits, Kawawa E. Banda, Petra Hulsman, Nick van de Giesen, Imasiku A. Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024, https://doi.org/10.5194/hess-28-3633-2024, 2024
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The fall and flushing of new leaves in the miombo woodlands co-occur in the dry season before the commencement of seasonal rainfall. The miombo species are also said to have access to soil moisture in deep soils, including groundwater in the dry season. Satellite-based evaporation estimates, temporal trends, and magnitudes differ the most in the dry season, most likely due to inadequate understanding and representation of the highlighted miombo species attributes in simulations.
Luuk D. van der Valk, Miriam Coenders-Gerrits, Rolf W. Hut, Aart Overeem, Bas Walraven, and Remko Uijlenhoet
Atmos. Meas. Tech., 17, 2811–2832, https://doi.org/10.5194/amt-17-2811-2024, https://doi.org/10.5194/amt-17-2811-2024, 2024
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Microwave links, often part of mobile phone networks, can be used to measure rainfall along the link path by determining the signal loss caused by rainfall. We use high-frequency data of multiple microwave links to recreate commonly used sampling strategies. For time intervals up to 1 min, the influence of sampling strategies on estimated rainfall intensities is relatively little, while for intervals longer than 5–15 min, the sampling strategy can have significant influences on the estimates.
Bart Schilperoort, César Jiménez Rodríguez, Bas van de Wiel, and Miriam Coenders-Gerrits
Geosci. Instrum. Method. Data Syst., 13, 85–95, https://doi.org/10.5194/gi-13-85-2024, https://doi.org/10.5194/gi-13-85-2024, 2024
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Heat storage in the soil is difficult to measure due to vertical heterogeneity. To improve measurements, we designed a 3D-printed probe that uses fiber-optic distributed temperature sensing to measure a vertical profile of soil temperature. We validated the temperature measurements against standard instrumentation. With the high-resolution data we were able to determine the thermal diffusivity of the soil at a resolution of 2.5 cm, which is much higher compared to traditional methods.
Cynthia Maan, Marie-Claire ten Veldhuis, and Bas J. H. van de Wiel
Hydrol. Earth Syst. Sci., 27, 2341–2355, https://doi.org/10.5194/hess-27-2341-2023, https://doi.org/10.5194/hess-27-2341-2023, 2023
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Their flexible growth provides the plants with a strong ability to adapt and develop resilience to droughts and climate change. But this adaptability is badly included in crop and climate models. To model plant development in changing environments, we need to include the survival strategies of plants. Based on experimental data, we set up a simple model for soil-moisture-driven root growth. The model performance suggests that soil moisture is a key parameter determining root growth.
Henry Zimba, Miriam Coenders-Gerrits, Kawawa Banda, Bart Schilperoort, Nick van de Giesen, Imasiku Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 27, 1695–1722, https://doi.org/10.5194/hess-27-1695-2023, https://doi.org/10.5194/hess-27-1695-2023, 2023
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Miombo woodland plants continue to lose water even during the driest part of the year. This appears to be facilitated by the adapted features such as deep rooting (beyond 5 m) with access to deep soil moisture, potentially even ground water. It appears the trend and amount of water that the plants lose is correlated more to the available energy. This loss of water in the dry season by miombo woodland plants appears to be incorrectly captured by satellite-based evaporation estimates.
Henry Zimba, Miriam Coenders-Gerrits, Kawawa Banda, Petra Hulsman, Nick van de Giesen, Imasiku Nyambe, and Hubert Savenije
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-114, https://doi.org/10.5194/hess-2022-114, 2022
Manuscript not accepted for further review
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We compare performance of evaporation models in the Luangwa Basin located in a semi-arid and complex Miombo ecosystem in Africa. Miombo plants changes colour, drop off leaves and acquire new leaves during the dry season. In addition, the plant roots go deep in the soil and appear to access groundwater. Results show that evaporation models with structure and process that do not capture this unique plant structure and behaviour appears to have difficulties to correctly estimating evaporation.
Lívia M. P. Rosalem, Miriam Coenders-Gerritis, Jamil A. A. Anache, Seyed M. M. Sadeghi, and Edson Wendland
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-59, https://doi.org/10.5194/hess-2022-59, 2022
Manuscript not accepted for further review
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We monitored the interception process on an undisturbed savanna forest and applied two interception models to evaluate their performance at different time scales and study their seasonal response. As results, both models performed well at a monthly scale and could represent the seasonal trends observed. However, they presented some limitations to predict the evaporative processes on a daily basis.
Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 26, 775–794, https://doi.org/10.5194/hess-26-775-2022, https://doi.org/10.5194/hess-26-775-2022, 2022
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The density of rain gauge networks plays an important role in radar rainfall bias correction. In this work, we aimed to assess the extent to which daily rainfall observations from a dense network of citizen scientists improve the accuracy of hourly radar rainfall estimates in the Tubma Basin, Thailand. Results show that citizen rain gauges significantly enhance the performance of radar rainfall bias adjustment up to a range of about 40 km from the center of the citizen rain gauge network.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
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Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
Didier de Villiers, Marc Schleiss, Marie-Claire ten Veldhuis, Rolf Hut, and Nick van de Giesen
Atmos. Meas. Tech., 14, 5607–5623, https://doi.org/10.5194/amt-14-5607-2021, https://doi.org/10.5194/amt-14-5607-2021, 2021
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Ground-based rainfall observations across the African continent are sparse. We present a new and inexpensive rainfall measuring instrument (the intervalometer) and use it to derive reasonably accurate rainfall rates. These are dependent on a fundamental assumption that is widely used in parameterisations of the rain drop size distribution. This assumption is tested and found to not apply for most raindrops but is still useful in deriving rainfall rates. The intervalometer shows good potential.
César Dionisio Jiménez-Rodríguez, Miriam Coenders-Gerrits, Bart Schilperoort, Adriana del Pilar González-Angarita, and Hubert Savenije
Hydrol. Earth Syst. Sci., 25, 619–635, https://doi.org/10.5194/hess-25-619-2021, https://doi.org/10.5194/hess-25-619-2021, 2021
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During rainfall events, evaporation from tropical forests is usually ignored. However, the water retained in the canopy during rainfall increases the evaporation despite the high-humidity conditions. In a tropical wet forest in Costa Rica, it was possible to depict vapor plumes rising from the forest canopy during rainfall. These plumes are evidence of forest evaporation. Also, we identified the conditions that allowed this phenomenon to happen using time-lapse videos and meteorological data.
Cited articles
Allen, R., Pereira, L., Raes, D., and Smith, M.: Crop
evapotranspiration – Guidelines for computing crop water requirements-FAO
Irrigation and drainage paper 56, FAO – Food and Agriculture Organization of
the United Nations, Rome, Italy, available at:
http://www.fao.org/3/X0490E/x0490e00.htm#Contents (last access: 1 April 2020), 1998.
Allen, R. G., Walter, I. A., Elliott, R., Howell, T., Itenfisu, D., Jensen, M., and Snyder, R. L.: The ASCE Standardized Reference Evapotranspiration Equation, American Society of Civil Engineers, Idaho, https://doi.org/10.1061/9780784408056, 2005.
Almorox, J., Quej, V. H., and Martí, P.: Global performance ranking of
temperature-based approaches for evapotranspiration estimation considering
Köppen climate classes, J. Hydrol., 528, 514–522,
https://doi.org/10.1016/j.jhydrol.2015.06.057, 2015.
Asadi Zarch, M. A., Sivakumar, B., and Sharma, A.: Assessment of global
aridity change, J. Hydrol., 520, 300–313,
https://doi.org/10.1016/j.jhydrol.2014.11.033, 2015.
Aschonitis, V. G., Papamichail, D., Demertzi, K., Colombani, N., Mastrocicco, M., Ghirardini, A., Castaldelli, G., and Fano, E.-A.: High-resolution global grids of revised Priestley–Taylor and Hargreaves–Samani coefficients for assessing ASCE-standardized reference crop evapotranspiration and solar radiation, Earth Syst. Sci. Data, 9, 615–638, https://doi.org/10.5194/essd-9-615-2017, 2017.
Aschonitis, V. G., Touloumidis, D., ten Veldhuis, M.-C., and Coenders-Gerrits, M.: Correcting Thornthwaite evapotranspiration formula using a global grid of local coefficients to support temperature-based estimations of reference evapotranspiration and aridity indices, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.932638, 2021.
Baier, W. and Robertson, G. W.: Estimation of latent evaporation from simple
weather observations, Can. J. Plant Sci., 45, 276–284,
https://doi.org/10.4141/cjps65-051, 1965.
Bakundukize, C., Van Camp, M., and Walraevens, K.: Estimation of Groundwater
Recharge in Bugesera Region (Burundi) using Soil Moisture Budget Approach,
Geol. Belgica, 14, 85–102, 2011.
Bautista, F., Bautista, D., and Delgado-Carranza, C.: Calibration of the
equations of Hargreaves and Thornthwaite to estimate the potential
evapotranspiration in semi–arid and subhumid tropical climates for regional
applications, Atmosfera, 22, 331–348, 2009.
Beguería, S., Vicente-Serrano, S. M., Reig, F., and Latorre, B.:
Standardized precipitation evapotranspiration index (SPEI) revisited:
Parameter fitting, evapotranspiration models, tools, datasets and drought
monitoring, Int. J. Climatol., 34, 3001–3023,
https://doi.org/10.1002/joc.3887, 2014.
Brinckmann, S., Krähenmann, S., and Bissolli, P.: High-resolution daily gridded data sets of air temperature and wind speed for Europe, Earth Syst. Sci. Data, 8, 491–516, https://doi.org/10.5194/essd-8-491-2016, 2016.
Camargo, A. P., Marin, F. R., Sentelhas, P. C., and Picini, A. G.: Adjust of
the Thornthwaite's method to estimate the potential evapotranspiration for
arid and superhumid climates, based on daily temperature amplitude, Rev.
Bras. Agrometeorol., 7, 251–257, 1999.
Castañeda, L. and Rao, P.: Comparison of methods for estimating
reference evapotranspiration in Southern California, J. Environ. Hydrol.,
13, 1–10, 2005.
Cherlet, M., Hutchinson, C., Reynolds, J., Hill, J., Sommer, S., and Von Maltitz, G.: World atlas of desertification rethinking land degradation and sustainable land management, Publication Office of the European Union, Luxembourg, https://doi.org/10.2760/9205, 2018.
Cristea, N., Kampf, S., Burges, S., and Asce, F.: Revised Coefficients for
Priestley-Taylor and Makkink-Hansen Equations for Estimating Daily Reference
Evapotranspiration, J. Hydrol. Eng., 18, 1289–1300,
https://doi.org/10.1061/(ASCE)HE.1943-5584.0000679, 2013.
Dai, A.: Increasing drought under global warming in observations and models,
Nat. Clim. Chang., 3, 52–58, https://doi.org/10.1038/nclimate1633, 2013.
Daly, C.: Guidelines for assessing the suitability of spatial climate data
sets, Int. J. Climatol., 26, 707–721, https://doi.org/10.1002/joc.1322,
2006.
Droogers, P. and Allen, R. G.: Estimating Reference Evapotranspiration Under
Inaccurate Data Conditions, Irrig. Drain. Syst., 16, 33–45,
https://doi.org/10.1023/A:1015508322413, 2002.
Hamon, W. R.: Estimating Potential Evapotranspiration, J. Hydraul. Div.,
87, 107–120, 1961.
Hamon, W. R.: Computation of direct runoff amounts from storm rainfall, Int.
Assoc. Sci. Hydrol. Publ., 63, 52–62, 1963.
Hansen, J., Ruedy, R., Sato, M., and Lo, K.: Global Surface Temperature
Change, Rev. Geophys., 48, 1–29, https://doi.org/10.1029/2010RG000345,
2010.
Hargreaves, G. H. and Samani, Z. A.: Estimating potential
evapotranspiration, J. Irrig. Drain. Eng., 108, 225–230, 1982.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated
high-resolution grids of monthly climatic observations – The CRU TS3.10
dataset, Int. J. Climatol., 34, 623–642,
https://doi.org/10.1002/joc.3711, 2014.
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.:
Very high resolution interpolated climate surfaces for global land areas,
Int. J. Climatol., 25, 1965–1978, https://doi.org/10.1002/joc.1276, 2005.
Holdridge, L. R.: Life zone ecology, Tropical Science Center, Costa Rica, available at:
http://reddcr.go.cr/sites/default/files/centro-de-documentacion/holdridge_1966_-_life_zone_ecology.pdf (last access: 1 March 2021), 1967.
Jain, P. K. and Sinai, G.: Evapotranspiration Model for Semiarid Regions, J.
Irrig. Drain. Eng., 111, 369–379,
https://doi.org/10.1061/(ASCE)0733-9437(1985)111:4(369), 1985.
Liu, X., Li, C., Zhao, T., and Han, L.: Future changes of global potential
evapotranspiration simulated from CMIP5 to CMIP6 models, Atmosph. Ocean.
Sci. Lett., 13, 568–575, https://doi.org/10.1080/16742834.2020.1824983,
2020.
Malmström, V. H.: A New Approach To The Classification Of Climate, J.
Geog., 68, 351–357, https://doi.org/10.1080/00221346908981131, 1969.
McCloud, D. E.: Water requirements of field crops in Florida as influenced
by climate, Proc. Soil Crop Sci. Soc. Florida, 15, 165–172, 1955.
McMahon, T. A., Peel, M. C., Lowe, L., Srikanthan, R., and McVicar, T. R.: Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis, Hydrol. Earth Syst. Sci., 17, 1331–1363, https://doi.org/10.5194/hess-17-1331-2013, 2013.
McVicar, T. R., Roderick, M. L., Donohue, R. J., and Van Niel, T. G.: Less
bluster ahead? ecohydrological implications of global trends of terrestrial
near-surface wind speeds, Ecohydrology, 5, 381–388,
https://doi.org/10.1002/eco.1298, 2012a.
McVicar, T. R., Roderick, M. L., Donohue, R. J., Li, L. T., Van Niel, T. G.,
Thomas, A., Grieser, J., Jhajharia, D., Himri, Y., Mahowald, N. M.,
Mescherskaya, A. V, Kruger, A. C., Rehman, S., and Dinpashoh, Y.: Global
review and synthesis of trends in observed terrestrial near-surface wind
speeds: Implications for evaporation, J. Hydrol., 416–417, 182–205,
https://doi.org/10.1016/j.jhydrol.2011.10.024, 2012b.
Osborn, T. J. and Jones, P. D.: The CRUTEM4 land-surface air temperature data set: construction, previous versions and dissemination via Google Earth, Earth Syst. Sci. Data, 6, 61–68, https://doi.org/10.5194/essd-6-61-2014, 2014.
Oudin, L., Hervieu, F., Michel, C., Perrin, C., Andréassian, A., Anctil,
F., and Loumagne, C.: Which potential evapotranspiration input for a lumped
rainfall–runoff model?: Part 2 – Towards a simple and efficient potential
evapotranspiration model for rainfall–runoff modelling, J. Hydrol.,
303, 290–306, https://doi.org/10.1016/j.jhydrol.2004.08.026, 2005.
Palmer, W.: Meteorological Drought, Research paper no. 45, U.S. Department of Commerce Weather Bureau, Washington, D.C., available at: https://www.ncdc.noaa.gov/temp-and-precip/drought/docs/palmer.pdf
(last access: 1 March 2021), 1965.
Peel, M. C., Finlayson, B. L., and McMahon, T. A.: Updated world map of the Köppen-Geiger climate classification, Hydrol. Earth Syst. Sci., 11, 1633–1644, https://doi.org/10.5194/hess-11-1633-2007, 2007.
Penman, H. L.: Natural evaporation from open water, hare soil and grass,
Proc. R. Soc. Lond. A. Math. Phys. Sci., 193, 120–145,
https://doi.org/10.1098/rspa.1948.0037, 1948.
Pereira, A. R. and Pruitt, W. O.: Adaptation of the Thornthwaite scheme for
estimating daily reference evapotranspiration, Agric. Water Manag., 66,
251–257, https://doi.org/10.1016/j.agwat.2003.11.003, 2004.
Proutsos, N. D., Tsiros, I. X., Nastos, P., and Tsaousidis, A.: A note on some uncertainties associated with Thornthwaite's aridity index introduced by
using different potential evapotranspiration methods, Atmos. Res., 260,
105727, https://doi.org/10.1016/j.atmosres.2021.105727, 2021.
Quej, V. H., Almorox, J., Arnaldo, J. A., and Moratiel, R.: Evaluation of
Temperature-Based Methods for the Estimation of Reference Evapotranspiration
in the Yucatán Peninsula, Mexico, J. Hydrol. Eng., 24, 05018029, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001747, 2019.
Sanikhani, H., Kisi, O., Maroufpoor, E., and Yaseen, Z. M.: Temperature-based
modeling of reference evapotranspiration using several artificial
intelligence models: application of different modeling scenarios, Theor.
Appl. Climatol., 135, 449–462,
https://doi.org/10.1007/s00704-018-2390-z, 2019.
Sheffield, J., Goteti, G., and Wood, E. F.: Development of a 50-Year
High-Resolution Global Dataset of Meteorological Forcings for Land Surface
Modeling, J. Climate, 19, 3088–3111, https://doi.org/10.1175/JCLI3790.1,
2006.
Sheffield, J., Wood, E. F., and Roderick, M. L.: Little change in global
drought over the past 60 years, Nature, 491, 435–438,
https://doi.org/10.1038/nature11575, 2012.
Shuttleworth, W. J.: Evaporation, Handbook of Hydrology, 41, 505–572,
https://doi.org/10.1021/ie50529a034, 1993.
Sun, X., Ren, G., Xu, W., Li, Q., and Ren, Y.: Global land-surface air
temperature change based on the new CMA GLSAT data set, Sci. Bull., 62,
236–238, https://doi.org/10.1016/j.scib.2017.01.017, 2017.
Thornthwaite, C.: An Approach toward a Rational Classification of Climate,
Geogr. Rev., 38, 55–94, https://doi.org/10.2307/210739, 1948.
Trajkovic, S.: Temperature-Based Approaches for Estimating Reference
Evapotranspiration, J. Irrig. Drain. Eng., 131, 316–323,
https://doi.org/10.1061/(asce)0733-9437(2005)131:4(316), 2005.
Trajkovic, S.: Hargreaves versus Penman-Monteith under Humid Conditions, J.
Irrig. Drain. Eng., 133, 38–42,
https://doi.org/10.1061/(asce)0733-9437(2007)133:1(38), 2007.
Trajkovic, S. and Kolakovic, S.: Estimating reference evapotranspiration
using limited weather data, J. Irrig. Drain. Eng., 135, 443–449,
https://doi.org/10.1061/(ASCE)IR.1943-4774.0000094, 2009a.
Trajkovic, S. and Kolakovic, S.: Evaluation of reference evapotranspiration
equations under humid conditions, Water Resour. Manag., 23, 3057–3067,
https://doi.org/10.1007/s11269-009-9423-4, 2009b.
Trajkovic, S., Gocic, M., Pongracz, R., and Bartholy, J.: Adjustment of
Thornthwaite equation for estimating evapotranspiration in Vojvodina, Theor.
Appl. Climatol., 138, 1231–1240, https://doi.org/10.1007/s00704-019-02873-1, 2019.
Trajkovic, S., Gocic, M., Pongracz, R., Bartholy, J., and Milanovic, M.:
Assessment of Reference Evapotranspiration by Regionally Calibrated
Temperature-Based Equations, KSCE J. Civ. Eng., 24, 1020–1027,
https://doi.org/10.1007/s12205-020-1698-2, 2020.
Trenberth, K. E., Dai, A., van der Schrier, G., Jones, P. D., Barichivich,
J., Briffa, K. R., and Sheffield, J.: Global warming and changes in drought,
Nat. Clim. Chang., 4, 17–22, https://doi.org/10.1038/nclimate2067, 2014.
UNEP: World atlas of desertification, United nations environment programme,
2nd edn., London, available at: https://wedocs.unep.org/20.500.11822/30300 (last access: 1 March 2021), 1997.
Van Der Schrier, G., Jones, P. D., and Briffa, K. R.: The sensitivity of the PDSI to the Thornthwaite and Penman-Monteith parameterizations for potential
evapotranspiration, J. Geophys. Res.-Atmos., 116, D03106,
https://doi.org/10.1029/2010JD015001, 2011.
Van Der Schrier, G., Barichivich, J., Briffa, K. R., and Jones, P. D.: A
scPDSI-based global data set of dry and wet spells for 1901–2009, J.
Geophys. Res.-Atmos., 118, 4025–4048, https://doi.org/10.1002/jgrd.50355, 2013.
Wang, K. and Dickinson, R. E.: A review of global terrestrial
evapotranspiration: Observation, modeling, climatology, and climatic
variability, Rev. Geophys., 50, RG2005,
https://doi.org/10.1029/2011RG000373, 2012.
Weiß, M. and Menzel, L.: A global comparison of four potential evapotranspiration equations and their relevance to stream flow modelling in semi-arid environments, Adv. Geosci., 18, 15–23, https://doi.org/10.5194/adgeo-18-15-2008, 2008.
Wild, M., Folini, D., Schär, C., Loeb, N., Dutton, E. G., and
König-Langlo, G.: The global energy balance from a surface perspective,
Clim. Dynam., 40, 3107–3134, https://doi.org/10.1007/s00382-012-1569-8,
2013.
Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983–2006, https://doi.org/10.5194/cp-10-1983-2014, 2014.
Willmott, C. J., Rowe, C. M., and Mintz, Y.: Climatology of the terrestrial
seasonal water cycle, J. Climatol., 5, 589–606,
https://doi.org/10.1002/joc.3370050602, 1985.
Yang, Q., Ma, Z., Zheng, Z., and Duan, Y.: Sensitivity of potential
evapotranspiration estimation to the Thornthwaite and Penman–Monteith
methods in the study of global drylands, Adv. Atmos. Sci., 34,
1381–1394, https://doi.org/10.1007/s00376-017-6313-1, 2017.
Yuan, S. and Quiring, S. M.: Drought in the U.S. Great Plains (1980–2012): A
sensitivity study using different methods for estimating potential
evapotranspiration in the Palmer Drought Severity Index, J. Geophys. Res.-Atmos., 119, 10996–11010, https://doi.org/10.1002/2014jd021970, 2014.
Zhang, J., Sun, F., Xu, J., Yaning, C., Sang, Y.-F., and Liu, C.: Dependence
of trends in and sensitivity of drought over China (1961–2013) on potential
evaporation model, Geophys. Res. Lett., 43, 206–213,
https://doi.org/10.1002/2015GL067473, 2015.
Zhang, Y., Liu, S., Wei, X., Liu, J., and Zhang, G.: Potential Impact of
Afforestation on Water Yield in the Sub-Alpine Region of Southwestern China,
JAWRA J. Am. Water Resour. Assoc., 44, 1144–1153,
https://doi.org/10.1111/j.1752-1688.2008.00239.x, 2008.
Zomer, R. J., Trabucco, A., Bossio, D. A., van Straaten, O., and Verchot, L.
V.: Climate change mitigation: A spatial analysis of global land suitability
for clean development mechanism afforestation and reforestation. Agr.
Ecosyst. Environ, 126, 67–80, https://doi.org/10.1016/j.agee.2008.01.014
2008.
Short summary
This work provides a global database of correction coefficients for improving the performance of the temperature-based Thornthwaite potential evapotranspiration formula and aridity indices (e.g., UNEP, Thornthwaite) that make use of this formula. The coefficients were produced using as a benchmark the ASCE-standardized reference evapotranspiration formula (formerly FAO-56) that requires temperature, solar radiation, wind speed, and relative humidity data.
This work provides a global database of correction coefficients for improving the performance of...
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