Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-6813-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-6813-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
HydroBlocks v0.2: enabling a field-scale two-way coupling between the land surface and river networks in Earth system models
Nathaniel W. Chaney
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Duke University,
Durham, NC, USA
Laura Torres-Rojas
Department of Civil and Environmental Engineering, Duke University,
Durham, NC, USA
Noemi Vergopolan
Department of Civil and Environmental Engineering, Princeton
University, Princeton, NJ, USA
Colby K. Fisher
Princeton Climate Analytics, Princeton University, Princeton, NJ, USA
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Hylke E. Beck, Ming Pan, Diego G. Miralles, Rolf H. Reichle, Wouter A. Dorigo, Sebastian Hahn, Justin Sheffield, Lanka Karthikeyan, Gianpaolo Balsamo, Robert M. Parinussa, Albert I. J. M. van Dijk, Jinyang Du, John S. Kimball, Noemi Vergopolan, and Eric F. Wood
Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021, https://doi.org/10.5194/hess-25-17-2021, 2021
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We evaluated the largest and most diverse set of surface soil moisture products ever evaluated in a single study. We found pronounced differences in performance among individual products and product groups. Our results provide guidance to choose the most suitable product for a particular application.
Cited articles
Anderson, M. C., Kustas, W. P., Norman, J. M., Hain, C. R., Mecikalski, J. R., Schultz, L., González-Dugo, M. P., Cammalleri, C., d'Urso, G., Pimstein, A., and Gao, F.: Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery, Hydrol. Earth Syst. Sci., 15, 223–239, https://doi.org/10.5194/hess-15-223-2011, 2011.
Avissar, R. and Pielke, R. A.: A Parameterization of Heterogeneous Land
Surfaces for Atmospheric Numerical Models and Its Impact on Regional
Meteorology, 117, 2113–2136, https://doi.org/10.1175/1520-0493(1989)117<2113:APOHLS>2.0.CO;2, 1989.
Beven, K., Cloke, H., Pappenberger, F., Lamb, R., and Hunter, N.: No
Hyperresolution information and hyperresolution ignorance in modelling the
hydrology of the land surface, Sci. China Earth Sci., 58, 25–35, 2015.
Bieger, K., Rathjens, H., Allen, P. M., and Arnold, J. G.: Development and
Evaluation of Bankfull Hydraulic Geometry Relationships for the
Physiographic Regions of the United States, J. Am. Water Res. Assoc., 51, 842–858,
https://doi.org/10.1111/jawr.12282, 2015.
Bierkens, M. F. P., Bell, V., Burek, P., Chaney, N. W., Condon, L.,
Cédric, D., de Roo, A., Döll, P., Drost, N., Famiglietti, J. S.,
Flörke, M., Gochis, D., Houser, P., Hut, R. W., Keune, J., Kollet, S.,
Maxwell, R., Reager, J. T., Samaniego, L., Sudicky, E., Sutanudjaja, E. H.,
van de Giesen, N., Winsemius, H. C., and Wood, E. F.: Hyper-resolution
global hydrological modeling: what's next, Hydrol. Process., 29, 310–320, 2014.
Bisht, G., Huang, M., Zhou, T., Chen, X., Dai, H., Hammond, G. E., Riley, W. J., Downs, J. L., Liu, Y., and Zachara, J. M.: Coupling a three-dimensional subsurface flow and transport model with a land surface model to simulate stream–aquifer–land interactions (CP v1.0), Geosci. Model Dev., 10, 4539–4562, https://doi.org/10.5194/gmd-10-4539-2017, 2017.
Brunner, G.: HEC-RAS river analysis system, Hydraulic reference manual,
Analysis System, Hydraulic Reference Manual, Version 1.0, Hydrologic Engineering Center Davis, CA, 1–790, 2010.
Chaney, N.: HydroBlocks SGP-ARM data, Zenodo [data set], https://doi.org/10.5281/zenodo.4070128, 2020.
Chaney, N. and Vergopolan, N.: chaneyn/HydroBlocks: HBrouting_Oct2020, Zenodo [code], https://doi.org/10.5281/zenodo.4071692, 2020.
Chaney, N. W., Herman, J. D., Ek, M. B., and Wood, E. F.: Deriving global
parameter estimates for the Noah land surface model using FLUXNET and
machine learning, J. Geophys. Res.-Atmos., 121, 13–218, https://doi.org/10.1002/2016JD024821, 2016a.
Chaney, N. W., Metcalfe, P., and Wood, E. F.: HydroBlocks: a field-scale
resolving land surface model for application over continental extents, Hydrol. Process., 30, 3543–3559,
https://doi.org/10.1002/hyp.10891, 2016b.
Chaney, N. W., Van Huijgevoort, M. H. J., Shevliakova, E., Malyshev, S., Milly, P. C. D., Gauthier, P. P. G., and Sulman, B. N.: Harnessing big data to rethink land heterogeneity in Earth system models, Hydrol. Earth Syst. Sci., 22, 3311–3330, https://doi.org/10.5194/hess-22-3311-2018, 2018.
Chaney, N. W., Minasny, B., Herman, J. D., Nauman, T. W., Brungard, C. W.,
Morgan, C. L. S., McBratney, A. B., Wood, E. F., and Yimam, Y.: POLARIS Soil
Properties: 30-m Probabilistic Maps of Soil Properties Over the Contiguous
United States, Water Resour. Res., 55, 2916–2938, https://doi.org/10.1029/2018WR022797, 2019.
Clark, M. P., Nijssen, B., Lundquist, J., Kavetski, D., Rupp, D., Woods, R.,
Gutmann, E., Wood, A., Brekke, L., Arnold, J., Gochis, D., and Rasmussen,
R.: A unified approach to process-based hydrologic modeling, Part 1:
Modeling concept, Water Resour. Res., 51, 2498–2514, 2015a.
Clark, M. P., Fan, Y., Lawrence, D. M., Adam, J. C., Bolster, D., Gochis, D.
J., Hooper, R. P., Kumar, M., Leung, L. R., Mackay, D. S., Maxwell, R. M.,
Shen, C., Swenson, S. C., and Zeng, X.: Improving the representation of
hydrologic processes in Earth System Models, Water Resour. Res., 51, 5929–5956,
https://doi.org/10.1002/2015WR017096, 2015b.
David, C. H., Maidment, D. R., Niu, G. Y., Yang, Z. L., Habets, F., and
Eijkhout, V.: River network routing on the NHDPlus dataset, J. Hydrometeorol., 12, 913–934,
https://doi.org/10.1175/2011JHM1345.1, 2011.
David, C. H., Famiglietti, J. S., Yang, Z.-L., Habets, F., and Maidment, D.
R.: A decade of RAPID-Reflections on the development of an open source
geoscience code, Earth Space Sci., 3, 226–244, https://doi.org/10.1002/2015EA000142, 2016.
Fan, Y., Clark, M., Lawrence, D. M., Swenson, S., Band, L. E., Brantley, S. L., Brooks, P. D., Dietrich, W. E., Flores, A., Grant, G., Kirchner, J. W., Mackay, D. S., McDonnell, J. J., Milly, P. C. D., Sullivan, P. L., Tague, C., Ajami, H., Chaney, N., Hartmann, A., Hazenberg, P., McNamara, J., Pelletier, J., Perket, J., Rouholahnejad-Freund, E., Wagener, T., Zeng, X., Beighley, E., Buzan, J., Huang, M., Livneh, B., Mohanty, B. P., Nijssen, B., Safeeq, M., Shen, C., Verseveld, W., Volk, J., and Yamazaki, D.: Hillslope hydrology in global change research and Earth system modeling, Water Resour. Res., 55, 1737–1772, 2019.
Fry, J., Xian, G., Jin, S., Dewitz, J., Homer, C., Yang, L., Barnes, C.,
Herold, N., and Wickham, J.: Completion of the 2006 National Land Cover
Database for the conterminous United States, Photogramm. Eng. Remote Sens., 77, 858–864, 2011.
Gesch, D., Evans, G., Mauck, J., Hutchinson, J., and Carswell Jr., W. J.:
The National Map – Elevation: U.S. Geological Survey fact sheet, Chicago, 2009.
Helton, A. M., Poole, G. C., Payn, R. A., Izurieta, C., and Stanford, J. A.:
Relative influences of the river channel, floodplain surface, and alluvial
aquifer on simulated hydrologic residence time in a montane river
floodplain, Geomorphology, 205, 17–26, https://doi.org/10.1016/j.geomorph.2012.01.004, 2012.
Horritt, M. S. and Bates, P. D.: Evaluation of 1D and 2D numerical models
for predicting river flood inundation, J. Hydrol., 268, 87–99,
https://doi.org/10.1016/S0022-1694(02)00121-X, 2002.
Jacovkis, P. M. and Tabak, E. G.: A kinematic wave model for rivers with
flood plains and other irregular geometries, Mathemat. Comput. Model., 24, 1–21,
https://doi.org/10.1016/S0895-7177(96)00169-0, 1996.
Jones, N. E. and Schmidt, B. J.: Tributary effects in rivers: Interactions
of spatial scale, network structure, and landscape characteristics, Can. J. Fish. Aquat. Sci., 74,
503–510, https://doi.org/10.1139/cjfas-2015-0493, 2017.
Koster, R. D. and Suarez, M. J.: Modeling the Land Surface Boundary in
Climate Models as a Composite of Independent Vegetation Stands, J. Geophys. Res.-Atmos., 97,
2697–2715, 1992.
Li, H., Wigmosta, M. S., Wu, H., Huang, M., Ke, Y., Coleman, A. M., and
Leung, L. R.: A physically based runoff routing model for land surface and
earth system models, J. Hydrometeorol., 14, 808–828, https://doi.org/10.1175/JHM-D-12-015.1,
2013.
Lin, P., Pan, M., Wood, E. F., Yamazaki, D., and Allen, G. H.: A new
vector-based global river network dataset accounting for variable drainage
density, Sci. data, 8, 1–9, https://doi.org/10.1038/s41597-021-00819-9, 2021.
Lohmann, D., Nolte-Holube, R., and Raschke, E.: A large-scale horizontal
horizontal routing model to be coupled to land surface parameterization
schemes, Tellus A, 48, 708–721, 1996.
Mizukami, N., Clark, M. P., Sampson, K., Nijssen, B., Mao, Y., McMillan, H., Viger, R. J., Markstrom, S. L., Hay, L. E., Woods, R., Arnold, J. R., and Brekke, L. D.: mizuRoute version 1: a river network routing tool for a continental domain water resources applications, Geosci. Model Dev., 9, 2223–2238, https://doi.org/10.5194/gmd-9-2223-2016, 2016.
Mizukami, N., Clark, M. P., Gharari, S., Kluzek, E., Pan, M., Lin, P., Beck,
H. E., and Yamazaki, D.: A vector-based river routing model for Earth System
Models: Parallelization and global applications, J. Adv. Model. Earth Syst., 13, e2020MS002434,
https://doi.org/10.1029/2020ms002434, 2021.
Newman, A. J., Clark, M. P., Winstral, A., Marks, D., and Seyfried, M.: The
Use of Similarity Concepts to Represent Subgrid Variability in Land Surface
Models: Case Study in a Snowmelt-Dominated Watershed, J. Hydrometeorol., 15, 1717–1738, 2014.
Niu, G.-Y., Yang, Z.-L., Mitchel, K. E., Chen, F., Ek, M., 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, D12, https://doi.org/10.1029/2010JD015139, 2011.
Nobre, A. D., Cuartas, L. A., Hodnett, M., Rennó, C. D., Rodrigues, G.,
Silveira, A., Waterloo, M., and Saleska, S.: Height Above the Nearest
Drainage – a hydrologically relevant new terrain model, J. Hydrol., 404, 13–29,
https://doi.org/10.1016/j.jhydrol.2011.03.051, 2011.
Oki, T. and Sud, Y. C.: Design of Total Runoff Integrating Pathways
(TRIP) – A Global River Channel Network, Earth Int., 2, 1–37,
https://doi.org/10.1175/1087-3562(1998)002<0001:dotrip>2.3.co;2, 1998.
Pan, M., Cai, X., Chaney, N. W., Entekhabi, D., and Wood, E. F.: An initial
assessment of SMAP soil moisture retrievals using high-resolution model
simulations and in situ observations, Geophys. Res. Lett., 43, 9662–9668,
https://doi.org/10.1002/2016GL069964, 2016.
Pappenberger, F., Cloke, H. L., Balsamo, G., Ngo-Duc, T., and Oki, T.:
Global runoff routing with the hydrological component of the ECMWF NWP
system, Int. J. Climatol., 30, 2155–2174, https://doi.org/10.1002/joc.2028, 2010.
Pokhrel, Y. N., Koirala, S., Yeh, P. J. F., Hanasaki, N., Longuevergne, L.,
Kanae, S., and Oki, T.: Incorporation of groundwater pumping in a global
Land Surface Model with the representation of human impacts, Water Resour. Res., 51, 78–96,
https://doi.org/10.1002/2014WR015602, 2015.
Pokhrel, Y. N., Hanasaki, N., Wada, Y., and Kim, H.: Recent progresses in
incorporating human land-water management into global land surface models
toward their integration into Earth system models, Wiley Int. Rev.-Water, 3, 548–574,
https://doi.org/10.1002/wat2.1150, 2016.
Reichle, R. H. and Koster, R. D.: Bias reduction in short records of
satellite soil moisture, Geophys. Res. Lett., 31, 19, https://doi.org/10.1029/2004GL020938, 2004.
Rice, S. P.: Tributary connectivity, confluence aggradation and network
biodiversity, J. Geomorph., 277, 6–16, https://doi.org/10.1016/j.geomorph.2016.03.027,
2017.
Shaad, K. and Di Baldassarre, G.: Evolution of river-routing schemes in macro-scale models and their potential for watershed management, Hydrol. Sci. J., 63,
1062–1077, https://doi.org/10.1080/02626667.2018.1473871, 2018.
Shen, C., Riley, W. J., Smithgall, K. R., Melack, J. M., and Fang, K.: The
fan of influence of streams and channel feedbacks to simulated land surface
water and carbon dynamics, Water Resour. Res., 52, 880–902,
https://doi.org/10.1002/2015WR018086, 2016.
Sheng, M., Lei, H., Jiao, Y., and Yang, D.: Evaluation of the Runoff and
River Routing Schemes in the Community Land Model of the Yellow River Basin, J. Adv. Model. Earth Syst.,
9, 2993–3018, https://doi.org/10.1002/2017MS001026, 2017.
Sobol, I. M.: Sensitivity estimates for nonlinear mathematical models, Math. Model. Comput. Exp., 1,
407–417, 1993.
Subin, Z. M., Milly, P. C. D., Sulman, B. N., Malyshev, S., and Shevliakova, E.: Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model, Hydrol. Earth Syst. Sci. Discuss., 11, 8443–8492, https://doi.org/10.5194/hessd-11-8443-2014, 2014.
Swanson, B. J. and Meyer, G.: Tributary confluences and discontinuities in
channel form and sediment texture: Rio Chama, Earth Surf. Process. Land., 39, 1927–1943,
https://doi.org/10.1002/esp.3586, 2014.
Swenson, S. C., Clark, M., Fan, Y., Lawrence, D. M., and Perket, J.:
Representing Intrahillslope Lateral Subsurface Flow in the Community Land
Model, J. Adv. Model. Earth Syst., 11, 4044–4065, https://doi.org/10.1029/2019MS001833, 2019.
USGS: National Hydrography Dataset, available at: https://www.usgs.gov/core-science-systems/ (last access: 15 July 2020), 2019.
Vergopolan, N., Chaney, N. W., Beck, H. E., Pan, M., Sheffield, J., Chan,
S., and Wood, E. F.: Combining hyper-resolution land surface modeling with
SMAP brightness temperatures to obtain 30-m soil moisture estimates, Remote Sens. Environ., 242, 111740,
https://doi.org/10.1016/j.rse.2020.111740, 2020.
Voisin, N., Hejazi, M. I., Leung, L. R., Liu, L., Huang, M., Li, H.-Y., and
Tesfa, T.: Effects of spatially distributed sectoral water management on the
redistribution of water resources in an integrated water model, Water Resour. Res., 53,
4253–4270, https://doi.org/10.1002/2016WR019767, 2017.
Wood, E. F., Roundy, J. K., Troy, T. J., Beek, L. P. H. van, Bierkens, M. F. P., Blyth, E., Roo, A. de, Döll, P., Ek, M., Famiglietti, J., Gochis, D., Giesen, N. van de, Houser, P., Jaffé, P. R., Kollet, S., Lehner, B., Lettenmaier, D. P., Peters-Lidard, C., Sivapalan, M., Sheffield, J., Wade, A., and Whitehead, P.: Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth’s terrestrial water, Water Resour. Res., 47, 1–10, https://doi.org/10.1080/00397910600978218, 2011.
Yamazaki, D., Kanae, S., Kim, H., and Oki, T.: A physically based
description of floodplain inundation dynamics in a global river routing
model, Water Resour. Res., 47, W04501, https://doi.org/10.1029/2010WR009726, 2011.
Zampieri, M., Serpetzoglou, E., Anagnostou, E. N., Nikolopoulos, E. I., and
Papadopoulos, A.: Improving the representation of river-groundwater
interactions in land surface modeling at the regional scale: Observational
evidence and parameterization applied in the Community Land Model, J. Hydrol., 420, 72–86,
https://doi.org/10.1016/j.jhydrol.2011.11.041, 2011.
Short summary
Although there have been significant advances in river routing and sub-grid heterogeneity (i.e., tiling) schemes in Earth system models over the past decades, there has yet to be a concerted effort to couple these two concepts. This paper aims to bridge this gap through the development of a two-way coupling between tiling schemes and river networks in the HydroBlocks land surface model. The scheme is implemented and tested over a 1 arc degree domain in Oklahoma, United States.
Although there have been significant advances in river routing and sub-grid heterogeneity (i.e.,...