Articles | Volume 10, issue 2
https://doi.org/10.5194/essd-10-951-2018
https://doi.org/10.5194/essd-10-951-2018
Review article
 | 
01 Jun 2018
Review article |  | 01 Jun 2018

Historical gridded reconstruction of potential evapotranspiration for the UK

Maliko Tanguy, Christel Prudhomme, Katie Smith, and Jamie Hannaford

Related authors

Indicator-to-impact links to help improve agricultural drought preparedness in Thailand
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
Nat. Hazards Earth Syst. Sci., 23, 2419–2441, https://doi.org/10.5194/nhess-23-2419-2023,https://doi.org/10.5194/nhess-23-2419-2023, 2023
Short summary
Added value of seasonal hindcasts for UK hydrological drought outlook
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-74,https://doi.org/10.5194/nhess-2023-74, 2023
Revised manuscript under review for NHESS
Short summary
Historic hydrological droughts 1891–2015: systematic characterisation for a diverse set of catchments across the UK
Lucy J. Barker, Jamie Hannaford, Simon Parry, Katie A. Smith, Maliko Tanguy, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 23, 4583–4602, https://doi.org/10.5194/hess-23-4583-2019,https://doi.org/10.5194/hess-23-4583-2019, 2019
Short summary
A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction
Katie A. Smith, Lucy J. Barker, Maliko Tanguy, Simon Parry, Shaun Harrigan, Tim P. Legg, Christel Prudhomme, and Jamie Hannaford
Hydrol. Earth Syst. Sci., 23, 3247–3268, https://doi.org/10.5194/hess-23-3247-2019,https://doi.org/10.5194/hess-23-3247-2019, 2019
Short summary
Benchmarking ensemble streamflow prediction skill in the UK
Shaun Harrigan, Christel Prudhomme, Simon Parry, Katie Smith, and Maliko Tanguy
Hydrol. Earth Syst. Sci., 22, 2023–2039, https://doi.org/10.5194/hess-22-2023-2018,https://doi.org/10.5194/hess-22-2023-2018, 2018
Short summary

Related subject area

Hydrology
A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model
Shanlei Sun, Zaoying Bi, Jingfeng Xiao, Yi Liu, Ge Sun, Weimin Ju, Chunwei Liu, Mengyuan Mu, Jinjian Li, Yang Zhou, Xiaoyuan Li, Yibo Liu, and Haishan Chen
Earth Syst. Sci. Data, 15, 4849–4876, https://doi.org/10.5194/essd-15-4849-2023,https://doi.org/10.5194/essd-15-4849-2023, 2023
Short summary
A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018
Wei Wang, La Zhuo, Xiangxiang Ji, Zhiwei Yue, Zhibin Li, Meng Li, Huimin Zhang, Rong Gao, Chenjian Yan, Ping Zhang, and Pute Wu
Earth Syst. Sci. Data, 15, 4803–4827, https://doi.org/10.5194/essd-15-4803-2023,https://doi.org/10.5194/essd-15-4803-2023, 2023
Short summary
Hydro-PE: gridded datasets of historical and future Penman–Monteith potential evaporation for the United Kingdom
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023,https://doi.org/10.5194/essd-15-4433-2023, 2023
Short summary
A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022)
Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu
Earth Syst. Sci. Data, 15, 4463–4479, https://doi.org/10.5194/essd-15-4463-2023,https://doi.org/10.5194/essd-15-4463-2023, 2023
Short summary
Soil water retention and hydraulic conductivity measured in a wide saturation range
Tobias L. Hohenbrink, Conrad Jackisch, Wolfgang Durner, Kai Germer, Sascha C. Iden, Janis Kreiselmeier, Frederic Leuther, Johanna C. Metzger, Mahyar Naseri, and Andre Peters
Earth Syst. Sci. Data, 15, 4417–4432, https://doi.org/10.5194/essd-15-4417-2023,https://doi.org/10.5194/essd-15-4417-2023, 2023
Short summary

Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Fao irrigation and drainage paper 56 – crop evapotranspiration – guidelines for computing crop water requirements, Rome, 1998. 
Aràndiga, F., Donat, R., and Santágueda, M.: The PCHIP subdivision scheme, Appl. Math. Comput., 272, 28–40, https://doi.org/10.1016/j.amc.2015.07.071, 2016. 
Bai, P., Liu, X., Yang, T., Li, F., Liang, K., Hu, S., and Liu, C.: Assessment of the Influences of Different Potential Evapotranspiration Inputs on the Performance of Monthly Hydrological Models under Different Climatic Conditions, J. Hydrometeorol., 17, 2259–2274, doi10.1175/JHM-D-15-0202.1, 2016. 
Balkovič, J., van der Velde, M., Schmid, E., Skalský, R., Khabarov, N., Obersteiner, M., Stürmer, B., and Xiong, W.: Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation, Agr. Syst., 120, 61–75, https://doi.org/10.1016/j.agsy.2013.05.008, 2013. 
Barik, M. G.: Remote Sensing-based Estimates of Potential Evapotranspiration for Hydrologic Modeling in the Upper Colorado River Basin Region, PhD, Civil Engineering 0300 UCLA, University of California, Los Angeles, 146 pp., 2014. 
Download
Short summary
Potential evapotranspiration (PET) is necessary input data for most hydrological models, used to simulate river flows. To reconstruct PET prior to the 1960s, simplified methods are needed because of lack of climate data required for complex methods. We found that the McGuinness–Bordne PET equation, which only needs temperature as input data, works best for the UK provided it is calibrated for local conditions. This method was used to produce a 5 km gridded PET dataset for the UK for 1891–2015.
Altmetrics
Final-revised paper
Preprint