Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., Sheffield, J., Karthikeyan, L., Balsamo, G., Parinussa, R. M., van Dijk, A. I. J. M., Du, J., Kimball, J. S., Vergopolan, N., and Wood, E. F.: Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors, Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021, 2021.
Blonquist, J. M., Jones, S. B., and Robinson, D. A.: Standardizing characterization of electromagnetic water content sensors: Part 2. Evaluation of seven sensing systems, Vadose Zone J., 4, 1059–1069, https://doi.org/10.2136/vzj2004.0141, 2005.
Blyth, E. M., Arora, V. K., Clark, D. B., Dadson, S. J., De Kauwe, M. G., Lawrence, D. M., Melton, J. R., Pongratz, J., Turton, R. H., Yoshimura, K., and Yuan, H.: Advances in Land Surface Modelling, Curr. Clim. Change Rep., 7, 45–71, https://doi.org/10.1007/s40641-021-00171-5, 2021.
Briciu-Burghina, C., Zhou, J., Ali, M. I., and Regan, F.: Demonstrating the Potential of a Low-Cost Soil Moisture Sensor Network, Sensors, 22, 987, https://doi.org/10.3390/s22030987, 2022.
Chang, M., Cao, J., Zhang, Q., Chen, W., Wu, G., Wu, L., Wang, W., and Wang, X.: Improvement of stomatal resistance and photosynthesis mechanism of Noah-MP-WDDM (v1.42) in simulation of NO
2 dry deposition velocity in forests, Geosci. Model Dev., 15, 787–801, https://doi.org/10.5194/gmd-15-787-2022, 2022.
Chen, F., Mitchell, K., Schaake, J., Xue, Y., Pan, H. L., Koren, V., Duan, Q. Y., Ek, M., and Betts, A.: Modeling of land surface evaporation by four schemes and comparison with FIFE observations, J. Geophys. Res., 101, 7251–7268, https://doi.org/10.1029/95JD02165, 1996.
Chen, F., Manning, K. W., Lemone, M. A., Trier, S. B., Alfieri, J. G., Roberts, R., Tewari, M., Niyogi, D., Horst, T. W., Oncley, S. P., Basara, J. B., and Blanken, P. D.: Description and evaluation of the characteristics of the NCAR high-resolution land data assimilation system, J. Appl. Meteorol. Clim., 46, 694–713, https://doi.org/10.1175/JAM2463.1, 2007.
Creamer, R. E., Simo, I., Reidy, Carvalho, J., Fealy, R., Hallett, S., Jones, R., Holden, A., Holden, N., Hannam, J., Massey, P., Mayr, T., McDonald, E., O'Rourke, S., Sills, P., Truckell, I., Zawadzka, J., and Schulte, R. P. O.: Irish Soil Information System, Synthesis Report (2007-S-CD-1-S1), EPA STRIVE Programme, Wexford,
https://www.epa.ie/publications/research/land-use-soils-and-transport/research-130-irish-soils-information-system.php (last access: 23 April 2019), 2014.
Dai, Y., Shangguan, W., Wei, N., Xin, Q., Yuan, H., Zhang, S., Liu, S., Lu, X., Wang, D., and Yan, F.: A review of the global soil property maps for Earth system models, SOIL, 5, 137–158, https://doi.org/10.5194/soil-5-137-2019, 2019a.
Dai, Y., Xin, Q., Wei, N., Zhang, Y., Shangguan, W., Yuan, H., Zhang, S., Liu, S., and Lu, X.: A global high-resolution data set of soil hydraulic and thermal properties for land surface modeling, J. Adv. Model. Earth Sy., 11, 2996–3023, https://doi.org/10.1029/2019MS001784, 2019b.
De Boeck, H. J., Dreesen, F. E., Janssens, I. A., and Nijs, I.: Whole-system responses of experimental plant communities to climate extremes imposed in different seasons, New Phytol., 189, 806–817, https://doi.org/10.1111/j.1469-8137.2010.03515.x, 2011.
de Lange, R., Beck, R., van de Giesen, N., Friesen, J., de Wit, A., and Wagner, W.: Scatterometer-Derived Soil Moisture Calibrated for Soil Texture with a One-Dimensional Water-Flow Model, IEEE T. Geosci. Remote, 46, 4041–4049, https://doi.org/10.1109/TGRS.2008.2000796, 2008.
de Lannoy, G. J. M., Koster, R. D., Reichle, R. H., Mahanama, S. P. P., and Liu, Q.: An updated treatment of soil texture and associated hydraulic properties in a global land modeling system, J. Adv. Model. Earth Sy., 6, 957–979, https://doi.org/10.1002/2014MS000330, 2014.
Dennis, E. J. and Berbery, E. H.: The role of soil texture in local land surface-atmosphere coupling and regional climate, J. Hydromet., 22, 313–330, https://doi.org/10.1175/JHM-D-20-0047.1, 2021.
Dennis, E. J. and Berbery, E. H.: The effects of soil representation in WRF-CLM on the atmospheric moisture budget, J. Hydromet., 23, 681–696, https://doi.org/10.1175/JHM-D-21-0101.1, 2022.
EEA: Soil Water Index 2015–present (raster 1 km), Europe, daily – version 1, EEA [data set], https://doi.org/10.2909/0929daf7-a0a3-4428-9bc1-cec6691e85d8, 2019.
EEA: CORINE Land Cover 2018 (raster 100 m), Europe, 6-yearly – version 2020_20u1, May 2020, EEA [data set], https://doi.org/10.2909/960998c1-1870-4e82-8051-6485205ebbac, 2020.
Falzoi, S., Gleeson, E., Lambkin, K., Zimmermann, J., Marwaha, R., O'Hara, R., Green, S., and Fratianni, S.: Analysis of the severe drought in Ireland in 2018, Weather, 74, 368–373, https://doi.org/10.1002/wea.3587, 2019.
Fan, J., McConkey, B., Wang, H., and Janzen, H.: Root distribution by depth for temperate agricultural crops, Field Crop Res., 189, 68–74, https://doi.org/10.1016/J.FCR.2016.02.013, 2016.
FAO: Digital soil map of the world and derived soil properties, FAO, Land and Water Digital Media Series, CD-ROM, ISBN 978-92-3-103889-1, 92-3-103889-3,
https://unesdoc.unesco.org/ark:/48223/pf0000130133 (last access: 10 March 2022), 2003.
Fealy, R., Bruyére, C., and Duffy, C.: Regional Climate Model Simulations for Ireland for the 21st Century, Final Report, Environmental Protection Agency, Co. Wexford, 1–137, https://www.epa.ie/publications/research/climate-change/research-244-regional-climate-model-simulations-for-ireland-for-the-21st-century.php (last access: 15 September 2020), 2018.
Fisher, R. A. and Koven, C. D.: Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems, J. Adv. Model. Earth Sys., 12, e2018MS001453, https://doi.org/10.1029/2018MS001453, 2020.
Gee, G. W. and Bauder, J. W.: Particle-size Analysis, in: SSSA Book Series, edited by: Klute, A., Soil Science Society of America, American Society of Agronomy, Madison, WI, USA, 383–411, https://doi.org/10.2136/sssabookser5.1.2ed.c15, 2018.
Grillakis, M. G.: Increase in severe and extreme soil moisture droughts for Europe under climate change, Sci. Total Environ., 660, 1245–1255, https://doi.org/10.1016/j.scitotenv.2019.01.001, 2019.
Han, Q., Zeng, Y., Zhang, L., Wang, C., Prikaziuk, E., Niu, Z., and Su, B.: Global long term daily 1 km surface soil moisture dataset with physics informed machine learning, Sci. Data, 10, 101, https://doi.org/10.1038/s41597-023-02011-7, 2023.
He, C., Barlage, M., Zhang, Z., xutr-bnu, Mocko, D., and Chen, F.: NCAR/hrldas: Release of v5.0.0, Zenodo [code], https://doi.org/10.5281/zenodo.7901868, 2023.
He, Q., Lu, H., and Yang, K.: Soil Moisture Memory of Land Surface Models Utilized in Major Reanalyses Differ Significantly from SMAP Observation, Earth's Future, 11, e2022EF003215, https://doi.org/10.1029/2022EF003215, 2023.
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M., Kilibarda, M., Blagotic, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., Guevara, M. A., Vargas, R., MacMillan, R. A., Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I., Mantel, S., and Kempen, B.: SOILGRIDS250m: global gridded soil information based on Machine Learning, PLOS One, 12, e0169748, https://doi.org/10.1371/journal.pone.0169748, 2017.
Hosseini, A., Mocko, D. M., Brunsell, N. A., Kumar, S. V., Mahanama, S., Arsenault, K., and Roundy, J. K.: Understanding the impact of vegetation dynamics on the water cycle in the NOAH-MP model, Front. Water, 4, 2022, https://doi.org/10.3389/frwa.2022.925852, 2022.
Hu, W., Ma, W., Yang, Z.-L., Ma, Y., and Xie, Z.: Sensitivity analysis of the Noah-MP land surface model for soil hydrothermal simulations over the Tibetan Plateau, J. Adv. Model. Earth Sy., 15, e2022MS003136, https://doi.org/10.1029/2022MS003136, 2023.
Ishola, K. A., Mills, G., Fealy, R. M., Ní, C. Ó., and Fealy, R.: Improving a land surface scheme for estimating sensible and latent heat fluxes above grassland with contrasting soil moisture zones, Agr. Forest Meteorol., 294, 108151, https://doi.org/10.1016/j.agrformet.2020.108151, 2020.
Ishola, K. A., Mills, G., Fealy, R. M., and Fealy, R.: A model framework to investigate the role of anomalous land surface processes in the amplification of summer drought across Ireland during 2018, Int. J. Climatol., 43, 480–498, https://doi.org/10.1002/joc.7785, 2022.
Jordan, R.: A one-dimensional temperature model for a snow cover: Technical documentation for SNTHERM 89, US Army Cold Regions Research and Engineering Laboratory Special Report, 91–16, 49,
https://hdl.handle.net/11681/11677 (last access: 22 September 2023), 1991.
Keane, T. and Collins, J. F. (Eds.): Climate, Weather and Irish Agriculture, AGMET, UCD, Belfield, Dublin, 4,
https://agmet.ie/publications/agmet-publications/ (last access: 17 May 2019), 2004.
Kiely, G., Leahy, P., Lewis, C., Sottocornola, M., Laine, A., and Koehler, A.-K.: GHG Fluxes from Terrestrial Ecosystems in Ireland, Research report No. 227, EPA Research Programme, Wexford,
https://www.epa.ie/pubs/reports/research/climate/Research_Report_227.pdf (last access: 10 September 2023), 2018.
Kishné, A. S., Yimam, Y. T., Morgan, C. L. S., and Dornblaser, B. C.: Evaluation and improvement of the default soil hydraulic parameters for the Noah land surface model, Geoderma, 285, 247–259, https://doi.org/10.1016/j.geoderma.2016.09.022, 2017.
Kumar, S. V., Holmes, T. R., Bindlish, R., de Jeu, R., and Peters-Lidard, C.: Assimilation of vegetation optical depth retrievals from passive microwave radiometry, Hydrol. Earth Syst. Sci., 24, 3431–3450, https://doi.org/10.5194/hess-24-3431-2020, 2020.
Lehmann, P., Merlin, O., Gentine, P., and Or, D.: Soil texture effects on surface resistance to bare-soil evaporation, Geophys. Res. Lett., 45, 10398–10405, https://doi.org/10.1029/2018GL078803, 2018.
Li, J., Chen, F., Zhang, G., Barlage, M., Gan, Y., Xin, Y., and Wang, C.: Impacts of land cover and soil texture uncertainty on land model simulations over the Central Tibetan Plateau, J. Adv. Model. Earth Sy., 10, 2121–2146, https://doi.org/10.1029/2018MS001377, 2018.
Looy, K. V., Bouma, J., Herbst, M., Koestel, J., Minasny, B., Mishra, U., Montzka, C., Nemes, A., Pachepsky, Y. A., Padarian, J., Schaap, M. G., Tóth, B., Verhoef, A., Vanderborght, J., Ploeg, M. J., Weihermüller, L., Zacharias, S., Zhang, Y., and Vereecken, H.: Pedotransfer Functions in Earth System Science: Challenges and Perspectives, Rev. Geophys., 55, 1199–1256, https://doi.org/10.1002/2017RG000581, 2017.
Mahrt, L. and Pan, H.: A two-layer model of soil hydrology, Bound.-Lay. Meteorol., 29, 1–20, https://doi.org/10.1007/BF00119116, 1984.
MET Éireann: Historical Data, MET Éireann [data set],
https://www.met.ie/climate/available-data/historical-data, last access: 23 October 2022.
Met Éireann Report: A summer of heatwaves and droughts,
https://www.met.ie/cms/assets/uploads/2018/09/summerfinal3.pdf (last access: 5 November 2019), 2018.
Moore, P.: Summer 2018,
https://www.met.ie/cms/assets/uploads/2020/06/Summer2018.pdf (last access: 23 February 2021), 2020.
Murphy, R. M., Saunders, M., Richards, K. G., Krol, D. J., Gebremichael, A. W., Rambaud, J., Cowan, N., and Lanigan, G. J.: Nitrous oxide emission factors from an intensively grazed temperate grassland: A comparison of cumulative emissions determined by eddy covariance and static chamber methods, Agric. Ecosys. Environ., 324 107725, https://doi.org/10.1016/j.agee.2021.107725, 2022.
Muñoz Sabater, J.: ERA5-Land hourly data from 1950 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.e2161bac, 2019.
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., and Thépaut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, 2021.
Nie, W., Kumar, S. V., Arsenault, K. R., Peters-Lidard, C. D., Mladenova, I. E., Bergaoui, K., Hazra, A., Zaitchik, B. F., Mahanama, S. P., McDonnell, R., Mocko, D. M., and Navari, M.: Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco, Hydrol. Earth Syst. Sci., 26, 2365–2386, https://doi.org/10.5194/hess-26-2365-2022, 2022.
Niu, G.-Y., Yang, Z.-L., Dickinson, R. E., Gulden, L. E., and Su, H.: Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data, J. Geophys. Research, 112, D07103, https://doi.org/10.1029/2006JD007522, 2007.
Niu, G.-Y., Yang, Z.-L., Mitchell, K. E., Chen, F., Ek, M. B., Barlage, M., Kumar, A., Manning, K., Niyogi, D., Rosero, E., Tewari, M., and Xia, Y.: The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements, J. Geophys. Res.-Atmos., 116, D12110, https://doi.org/10.1029/2010JD015139, 2011.
Noone, S., Broderick, C., Duffy, C., Matthews, T., Wilby, R. L., and Murphy, C.: A 250-year drought catalogue for the Island of Ireland (1765–2015), Int. J. Climatol., 37, 239–254, 2017.
Or, D. and Lehmann, P.: Surface evaporative capacitance: How soil type and rainfall characteristics affect global-scale surface evaporation, Water Resour. Res., 55, 519–539, https://doi.org/10.1029/2018WR024050, 2019.
Paulik, C., Dorigo, W., Wagner, W., and Kidd, R.: Validation of the ASCAT Soil Water Index using in situ data from the International Soil Moisture Network, Int. J. Appl. Earth Obs., 30, 1–8, https://doi.org/10.1016/j.jag.2014.01.007, 2014.
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.
Peichl, M., Carton, O., and Kiely, G.: Management and climate effects on carbon dioxide and energy exchanges in a maritime grassland, Agr. Ecosyst. Environ., 158, 132–146, https://doi.org/10.1016/j.agee.2012.06.001, 2012.
Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., and Rossiter, D.: SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty, SOIL, 7, 217–240, https://doi.org/10.5194/soil-7-217-2021, 2021.
Reidy, B., Simo, I., Sills, P., and Creamer, R. E.: Pedotransfer functions for Irish soils – estimation of bulk density (
ρb) per horizon type, SOIL, 2, 25–39, https://doi.org/10.5194/soil-2-25-2016, 2016.
Sakaguchi, K. and Zeng, X.: Effects of soil wetness, plant litter, and under-canopy atmospheric stability on ground evaporation in the Community Land Model (CLM3.5), J. Geophys. Res.,114, D01107, https://doi.org/10.1029/2008JD010834, 2009.
Samaniego, L., S. Thober, R. Kumar, Wanders, N., Rakovec, O., Pan, M., Zink, M., Sheffield, J., Wood, E. F., and Marx, A.: Anthropogenic warming exacerbates European soil moisture droughts, Nat. Clim. Change, 8, 421–426, https://doi.org/10.1038/s41558-018-0138-5, 2018.
Saxton, K. E. and Rawls, W. J.: Soil water characteristic estimates by texture and organic matter for hydrologic solutions, Soil Sci. Soc. Am. J., 70, 1569–1578, https://doi.org/10.2136/sssaj2005.0117, 2006.
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B., Lehner, I., Orlowsky, B., and Teuling, A. J.: Investigating soil moisture–climate interactions in a changing climate: a review, Earth-Sci. Rev., 99, 125–161, 2010.
Seneviratne, S. I., Nicholls, N., Easterling, D., Goodess, C. M., Kanae, S., Kossin, J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Reichstein, M., Sorteberg, A., Vera, C., and Zhang, X.: Changes in climate extremes and their impacts on the natural physical environment, in: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, edited by: Field, C. B., Barros, V., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G.-K., Allen, S. K., Tignor, M., and Midgley, P. M., A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 109–230, ISBN 9781107607804, https://doi.org/10.1017/CBO9781139177245.006, 2012.
Shangguan, W., Dai, Y., Duan, Q., Liu, B., and Yuan, H.: A global soil data set for earth system modeling, J. Adv. Model. Earth Sy., 6, 249–263, https://doi.org/10.1002/2013MS000293, 2014.
Skamarock, W., Klemp, J., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and Huang, X.-Y.: A Description of the Advanced Research WRF Model Version 4.3, UCAR/NCAR [data set], https://doi.org/10.5065/1dfh-6p97, 2021.
Svoboda, M., LeComte, D., Hayes, M., Heim, R., Gleason, K., Angel, J., Rippey, B., Tinker, R., Palecki, M., Stooksbury, D., Miskus, D., and Stephens, S.: The Drought Monitor, B. Am. Meteorol. Soc., 83, 1181–1190, https://doi.org/10.1175/1520-0477-83.8.1181, 2002.
Szabó, B., Szatmári, G., Takács, K., Laborczi, A., Makó, A., Rajkai, K., and Pásztor, L.: Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics, Hydrol. Earth Syst. Sci., 23, 2615–2635, https://doi.org/10.5194/hess-23-2615-2019, 2019.
Vereecken, H., Weynants, M., Javaux, M., Pachepsky, Y., Schaap, M. G., and van Genuchten, M. T.: Using pedotransfer functions to estimate the Van Genuchten-Mualem soil hydraulic properties – A review, Vadose Zone J., 9, 795–820, https://doi.org/10.2136/vzj2010.0045, 2010.
Walsh, S.: A summary of climate averages for Ireland, 1981–2010, MET Eireann CLIMATOLOGICAL NOTE No. 14, Dublin,
https://www.met.ie/climate-ireland/SummaryClimAvgs.pdf (last access: 19 October 2023), 2012.
Warrach-Sagi, K., Ingwersen, J., Schwitalla, T., Troost, C., Aurbacher, J., Jach, L., Berger, T., Streck, T., and Wulfmeyer, V.: Noah-MP with the generic crop growth model Gecros in the WRF model: Effects of dynamic crop growth on land-atmosphere interaction, J. Geophys. Res.-Atmos., 127, e2022JD036518, https://doi.org/10.1029/2022JD036518, 2022.
Weihermüller, L., Lehmann, P., Herbst, M., Rahmati, M., Verhoef, A., Or, D., Jacques, D., and Vereecken, H.: Choice of pedotransfer functions matters when simulating soil water balance fluxes, J. Adv. Model. Earth Sy., 13, e2020MS002404M, https://doi.org/10.1029/2020MS002404, 2021.
WRF Users Page: WPS V4 Geographical Static Data Downloads Page, WRF Users Page [data set],
https://www2.mmm.ucar.edu/wrf/users/download/get_sources_wps_geog.html, last access: 4 April 2022.
Xia, Y., Ek, M. B., Peters-Lidard, C. D., Mocko, D., Svoboda, M., Sheffield, J., and Wood, E. F.: Application of USDM statistics in NLDAS-2: Optimal blended NLDAS drought index over the continental United States, J. Geophys. Res.-Atmos., 119, 2947–2965, https://doi.org/10.1002/2013JD020994, 2014.
Xu, C., Torres-Rojas, L., Vergopolan, N., and Chaney, N. W.: The benefits of using state-of-the-art digital soil properties maps to improve the modeling of soil moisture in land surface models, Water Resour. Res., 59, e2022WR032336, https://doi.org/10.1029/2022WR032336, 2023.
Zhang, Y., Schaap, M. G., and Zha, Y.: A high-resolution global map of soil hydraulic properties produced by a hierarchical parameterization of a physically based water retention model, Water Resour. Res., 54, 9774–9790, https://doi.org/10.1029/2018WR023539, 2018.
Zhang, Z., Laux, P., Baade, J., Arnault, J., Wei, J., Wang, X., Liu, Y., Schmullius, C., and Kunstmann, H: Impact of alternative soil data sources on the uncertainties in simulated land-atmosphere interactions, Agric. Fores. Meteor., 339, 109565, https://doi.org/10.1016/j.agrformet.2023.109565, 2023.
Zhao, H., Zeng, Y., Lv, S., and Su, Z.: Analysis of soil hydraulic and thermal properties for land surface modeling over the Tibetan Plateau, Earth Syst. Sci. Data, 10, 1031–1061, https://doi.org/10.5194/essd-10-1031-2018, 2018.
Zheng, H. and Yang, Z.-L.: Effects of soil-type datasets on regional terrestrial water cycle simulations under different climatic regimes, J. Geophys. Res.-Atmos., 121, 14387–14402, https://doi.org/10.1002/2016JD025187, 2016.
Zhuo, L., Dai, Q., Han, D., Chen, N., and Zhao, B.: Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM land surface schemes for landslide hazard application, Hydrol. Earth Syst. Sci., 23, 4199–4218, https://doi.org/10.5194/hess-23-4199-2019, 2019.
