Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Volume 21, issue 6
Hydrol. Earth Syst. Sci., 21, 2953–2966, 2017
https://doi.org/10.5194/hess-21-2953-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Observations and modeling of land surface water and energy...

Hydrol. Earth Syst. Sci., 21, 2953–2966, 2017
https://doi.org/10.5194/hess-21-2953-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 16 Jun 2017

Research article | 16 Jun 2017

Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets

Patricia M. Lawston et al.

Related authors

Assimilation of lidar planetary boundary layer height observations
Andrew Tangborn, Belay Demoz, Brian J. Carroll, Joseph Santanello, and Jeffrey L. Anderson
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-238,https://doi.org/10.5194/amt-2020-238, 2020
Preprint under review for AMT
Short summary
Atmospheric boundary layer dynamics from balloon soundings worldwide: CLASS4GL v1.0
Hendrik Wouters, Irina Y. Petrova, Chiel C. van Heerwaarden, Jordi Vilà-Guerau de Arellano, Adriaan J. Teuling, Vicky Meulenberg, Joseph A. Santanello, and Diego G. Miralles
Geosci. Model Dev., 12, 2139–2153, https://doi.org/10.5194/gmd-12-2139-2019,https://doi.org/10.5194/gmd-12-2139-2019, 2019
Short summary
The future of Earth observation in hydrology
Matthew F. McCabe, Matthew Rodell, Douglas E. Alsdorf, Diego G. Miralles, Remko Uijlenhoet, Wolfgang Wagner, Arko Lucieer, Rasmus Houborg, Niko E. C. Verhoest, Trenton E. Franz, Jiancheng Shi, Huilin Gao, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 3879–3914, https://doi.org/10.5194/hess-21-3879-2017,https://doi.org/10.5194/hess-21-3879-2017, 2017
Short summary
Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networks
Foad Foolad, Trenton E. Franz, Tiejun Wang, Justin Gibson, Ayse Kilic, Richard G. Allen, and Andrew Suyker
Hydrol. Earth Syst. Sci., 21, 1263–1277, https://doi.org/10.5194/hess-21-1263-2017,https://doi.org/10.5194/hess-21-1263-2017, 2017
Short summary
A case study of field-scale maize irrigation patterns in western Nebraska: implications for water managers and recommendations for hyper-resolution land surface modeling
Justin Gibson, Trenton E. Franz, Tiejun Wang, John Gates, Patricio Grassini, Haishun Yang, and Dean Eisenhauer
Hydrol. Earth Syst. Sci., 21, 1051–1062, https://doi.org/10.5194/hess-21-1051-2017,https://doi.org/10.5194/hess-21-1051-2017, 2017
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces
Clément Albergel, Yongjun Zheng, Bertrand Bonan, Emanuel Dutra, Nemesio Rodríguez-Fernández, Simon Munier, Clara Draper, Patricia de Rosnay, Joaquin Muñoz-Sabater, Gianpaolo Balsamo, David Fairbairn, Catherine Meurey, and Jean-Christophe Calvet
Hydrol. Earth Syst. Sci., 24, 4291–4316, https://doi.org/10.5194/hess-24-4291-2020,https://doi.org/10.5194/hess-24-4291-2020, 2020
Short summary
A coupled atmospheric–hydrologic modeling system with variable grid sizes for rainfall–runoff simulation in semi-humid and semi-arid watersheds: how does the coupling scale affects the results?
Jiyang Tian, Jia Liu, Yang Wang, Wei Wang, Chuanzhe Li, and Chunqi Hu
Hydrol. Earth Syst. Sci., 24, 3933–3949, https://doi.org/10.5194/hess-24-3933-2020,https://doi.org/10.5194/hess-24-3933-2020, 2020
Short summary
Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels
Peng Ji, Xing Yuan, Feng Ma, and Ming Pan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-354,https://doi.org/10.5194/hess-2020-354, 2020
Revised manuscript accepted for HESS
Short summary
Assessment and projection of the water budget over western Canada using convection-permitting weather research and forecasting simulations
Sopan Kurkute, Zhenhua Li, Yanping Li, and Fei Huo
Hydrol. Earth Syst. Sci., 24, 3677–3697, https://doi.org/10.5194/hess-24-3677-2020,https://doi.org/10.5194/hess-24-3677-2020, 2020
Short summary
Climate-dependent propagation of precipitation uncertainty into the water cycle
Ali Fallah, Sungmin O, and Rene Orth
Hydrol. Earth Syst. Sci., 24, 3725–3735, https://doi.org/10.5194/hess-24-3725-2020,https://doi.org/10.5194/hess-24-3725-2020, 2020
Short summary

Cited articles

Adegoke, J. O., Pielke, R., and Carleton, A. M.: Observational and modeling studies of the impacts of agriculture-related land use change on planetary boundary layer processes in the central U.S., Agr. Forest Meteorol., 142, 203–215, https://doi.org/10.1016/j.agrformet.2006.07.013, 2007.
Alter, R. E., Im, E.-S., and Eltahir, E. A. B.: Rainfall consistently enhanced around the Gezira Scheme in East Africa due to irrigation, Nat. Geosci., 8, 763–767, https://doi.org/10.1038/ngeo2514, 2015.
Bonfils, C. and Lobell, D.: Empirical evidence for a recent slowdown in irrigation-induced cooling, P. Natl. Acad. Sci. USA, 104, 13582–13587, https://doi.org/10.1073/pnas.0700144104, 2007.
Boucher, O., Myhre, G., and Myhre, A.: Direct human influence of irrigation on atmospheric water vapour and climate, Clim. Dynam., 22, 597–603, https://doi.org/10.1007/s00382-004-0402-4, 2004.
Case, J. L., Lafontaine, F. J., Bell, J. R., Jedlovec, G. J., Kumar, S. V., and Peters-Lidard, C. D.: A real-time MODIS vegetation product for land surface and numerical weather prediction models, IEEE T. Geosci. Remote Sens., 52, 1772–1786, https://doi.org/10.1109/TGRS.2013.2255059, 2014.
Publications Copernicus
Download
Short summary
Irrigation can affect the weather by making the air cooler and more humid, potentially causing changes to clouds and rainfall. This study uses new datasets to test how well irrigation is simulated in a model. We find the model applies more water than farmers' data show, but the water is applied at the right time in the growing season and improves the modeled wetness of the soil. These results will help improve irrigation modeling and thus understanding of human impacts on the water cycle.
Irrigation can affect the weather by making the air cooler and more humid, potentially causing...
Citation