Articles | Volume 17, issue 11
https://doi.org/10.5194/hess-17-4577-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-4577-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
19 Nov 2013
Research article | Highlight paper |
| 19 Nov 2013
Inverse streamflow routing
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
E. F. Wood
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
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Yu Zhang, Ming Pan, Justin Sheffield, Amanda L. Siemann, Colby K. Fisher, Miaoling Liang, Hylke E. Beck, Niko Wanders, Rosalyn F. MacCracken, Paul R. Houser, Tian Zhou, Dennis P. Lettenmaier, Rachel T. Pinker, Janice Bytheway, Christian D. Kummerow, and Eric F. Wood
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Hylke E. Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I. J. M. van Dijk, Graham P. Weedon, Luca Brocca, Florian Pappenberger, George J. Huffman, and Eric F. Wood
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D. G. Miralles, C. Jiménez, M. Jung, D. Michel, A. Ershadi, M. F. McCabe, M. Hirschi, B. Martens, A. J. Dolman, J. B. Fisher, Q. Mu, S. I. Seneviratne, E. F. Wood, and D. Fernández-Prieto
Hydrol. Earth Syst. Sci., 20, 823–842, https://doi.org/10.5194/hess-20-823-2016, https://doi.org/10.5194/hess-20-823-2016, 2016
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D. Michel, C. Jiménez, D. G. Miralles, M. Jung, M. Hirschi, A. Ershadi, B. Martens, M. F. McCabe, J. B. Fisher, Q. Mu, S. I. Seneviratne, E. F. Wood, and D. Fernández-Prieto
Hydrol. Earth Syst. Sci., 20, 803–822, https://doi.org/10.5194/hess-20-803-2016, https://doi.org/10.5194/hess-20-803-2016, 2016
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In this study a common reference input data set from satellite and in situ data is used to run four established evapotranspiration (ET) algorithms using sub-daily and daily input on a tower scale as a testbed for a global ET product. The PT-JPL model and GLEAM provide the best performance for satellite and in situ forcing as well as for the different temporal resolutions. PM-MOD and SEBS perform less well: the PM-MOD model generally underestimates, while SEBS generally overestimates ET.
M. F. McCabe, A. Ershadi, C. Jimenez, D. G. Miralles, D. Michel, and E. F. Wood
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In an effort to develop a global terrestrial evaporation product, four models were forced using both a tower and grid-based data set. Comparisons against flux-tower observations from different biome and land cover types show considerable inter-model variability and sensitivity to forcing type. Results suggest that no single model is able to capture expected flux patterns and response. It is suggested that a multi-model ensemble is likely to provide a more stable long-term flux estimate.
W. Zhan, M. Pan, N. Wanders, and E. F. Wood
Hydrol. Earth Syst. Sci., 19, 4275–4291, https://doi.org/10.5194/hess-19-4275-2015, https://doi.org/10.5194/hess-19-4275-2015, 2015
N. W. Chaney, J. D. Herman, P. M. Reed, and E. F. Wood
Hydrol. Earth Syst. Sci., 19, 3239–3251, https://doi.org/10.5194/hess-19-3239-2015, https://doi.org/10.5194/hess-19-3239-2015, 2015
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Land surface modeling is playing an increasing role in global monitoring and prediction of extreme hydrologic events. However, uncertainties in parameter identifiability limit the reliability of model predictions. This study makes use of petascale computing to perform a comprehensive evaluation of land surface modeling for global flood and drought monitoring and suggests paths forward to overcome the challenges posed by parameter uncertainty.
K. Guan, S. P. Good, K. K. Caylor, H. Sato, E. F. Wood, and H. Li
Biogeosciences, 11, 6939–6954, https://doi.org/10.5194/bg-11-6939-2014, https://doi.org/10.5194/bg-11-6939-2014, 2014
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Climate change is expected to modify the way that rainfall arrives, namely the frequency and intensity of rainfall events and rainy season length. Yet, the quantification of the impact of these possible rainfall changes across large biomes is lacking. Our study fills this gap by developing a new modeling framework, applying it to continental Africa. We show that African ecosystems are highly sensitive to these rainfall variabilities, with esp. large sensitivity to changes in rainy season length.
B. Mueller, M. Hirschi, C. Jimenez, P. Ciais, P. A. Dirmeyer, A. J. Dolman, J. B. Fisher, M. Jung, F. Ludwig, F. Maignan, D. G. Miralles, M. F. McCabe, M. Reichstein, J. Sheffield, K. Wang, E. F. Wood, Y. Zhang, and S. I. Seneviratne
Hydrol. Earth Syst. Sci., 17, 3707–3720, https://doi.org/10.5194/hess-17-3707-2013, https://doi.org/10.5194/hess-17-3707-2013, 2013
S. Shukla, J. Sheffield, E. F. Wood, and D. P. Lettenmaier
Hydrol. Earth Syst. Sci., 17, 2781–2796, https://doi.org/10.5194/hess-17-2781-2013, https://doi.org/10.5194/hess-17-2781-2013, 2013
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Hydrol. Earth Syst. Sci., 28, 163–178, https://doi.org/10.5194/hess-28-163-2024, https://doi.org/10.5194/hess-28-163-2024, 2024
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(1) Evaporation under ice-free and sublimation under ice-covered conditions and its influencing factors were first quantified based on 6 years of eddy covariance observations. (2) Night evaporation of Qinghai Lake accounts for more than 40 % of the daily evaporation. (3) Lake ice sublimation reaches 175.22 ± 45.98 mm, accounting for 23 % of the annual evaporation. (4) Wind speed weakening may have resulted in a 7.56 % decrease in lake evaporation during the ice-covered period from 2003 to 2017.
Solomon Vimal and Vijay P. Singh
Hydrol. Earth Syst. Sci., 26, 445–467, https://doi.org/10.5194/hess-26-445-2022, https://doi.org/10.5194/hess-26-445-2022, 2022
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Evaporation from open water is a well-studied problem in hydrology. Robert E. Horton, unknown to most investigators on the subject, studied it in great detail by conducting experiments and relating them to physical laws. His work furthered known theories of lake evaporation but was not recognized. This is unfortunate because it performs better than five variously complex methods across scales (local to continental; 30 min–2 months) and seems quite relevant for climate-change-era problems.
Shannon M. Sterling, Sarah MacLeod, Lobke Rotteveel, Kristin Hart, Thomas A. Clair, Edmund A. Halfyard, and Nicole L. O'Brien
Hydrol. Earth Syst. Sci., 24, 4763–4775, https://doi.org/10.5194/hess-24-4763-2020, https://doi.org/10.5194/hess-24-4763-2020, 2020
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Wild salmon numbers in Nova Scotia, Canada, have been plummeting in recent decades. In 2014, we launched an ionic aluminium monitoring program in Nova Scotia to see if this toxic element was a threat to salmon populations. We found that all 10 monitored rivers had ionic aluminium concentrations that exceeded the threshold for aquatic health. Our results demonstrate that elevated aluminium still threatens aquatic ecosystems and that delays in recovery from acid rain remains a critical issue.
Georgiy Kirillin, Ilya Aslamov, Vladimir Kozlov, Roman Zdorovennov, and Nikolai Granin
Hydrol. Earth Syst. Sci., 24, 1691–1708, https://doi.org/10.5194/hess-24-1691-2020, https://doi.org/10.5194/hess-24-1691-2020, 2020
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We found that heat transported from Lake Baikal to its ice cover is up to 10 times higher than traditionally assumed and strongly affects the ice melting. The heat is transported by under-ice currents on the background of a strong temperature gradient between the ice base and warmer waters beneath. To parameterize this newly quantified transport mechanism, an original boundary layer model was developed. The results are crucial for understanding seasonal ice dynamics on lakes and marginal seas.
Jennifer C. Murphy
Hydrol. Earth Syst. Sci., 24, 991–1010, https://doi.org/10.5194/hess-24-991-2020, https://doi.org/10.5194/hess-24-991-2020, 2020
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Between 1992 and 2012, concentrations of suspended sediment decreased at about 60 % of 137 US stream sites, with increases at only 17 % of sites. Sediment trends were primarily attributed to changes in land management, but streamflow changes also contributed to these trends at > 50 % of sites. At many sites, decreases in sediment occurred despite small-to-moderate increases in the amount of anthropogenic land use, suggesting sediment reduction activities across the US may be seeing some success.
Bernd R. Schöne, Aliona E. Meret, Sven M. Baier, Jens Fiebig, Jan Esper, Jeffrey McDonnell, and Laurent Pfister
Hydrol. Earth Syst. Sci., 24, 673–696, https://doi.org/10.5194/hess-24-673-2020, https://doi.org/10.5194/hess-24-673-2020, 2020
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We present the first annually resolved stable isotope record (1819–1998) from shells of Swedish river mussels. Data reflect hydrological processes in the catchment and changes in the isotope value of local precipitation. The latter is related to the origin of moisture from which precipitation formed (North Atlantic or the Arctic) and governed by large-scale atmospheric circulation patterns. Results help to better understand climate dynamics and constrain ecological changes in river ecosystems.
Eleanore L. Heasley, Nicholas J. Clifford, and James D. A. Millington
Hydrol. Earth Syst. Sci., 23, 2305–2319, https://doi.org/10.5194/hess-23-2305-2019, https://doi.org/10.5194/hess-23-2305-2019, 2019
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River network structure is an overlooked feature of catchments. We demonstrate that network structure impacts broad spatial patterns of river characteristics in catchments using regulatory data. River habitat quality increased with network density, but other characteristics responded differently between study catchments. Network density was quantified using a method that can easily be applied to any catchment. We suggest that river network structure should be included in catchment-level studies.
Gabriel Gerard Rooney, Nicole van Lipzig, and Wim Thiery
Hydrol. Earth Syst. Sci., 22, 6357–6369, https://doi.org/10.5194/hess-22-6357-2018, https://doi.org/10.5194/hess-22-6357-2018, 2018
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This paper uses a unique observational dataset of a tropical African lake (L. Kivu) to assess the effect of rain on lake surface temperature. Data from 4 years were categorised by daily rain amount and total net radiation to show that heavy rain may reduce the end-of-day lake temperature by about 0.3 K. This is important since lake surface temperature may influence local weather on short timescales, but the effect of rain on lake temperature has been little studied or parametrised previously.
Chiara Magliozzi, Robert C. Grabowski, Aaron I. Packman, and Stefan Krause
Hydrol. Earth Syst. Sci., 22, 6163–6185, https://doi.org/10.5194/hess-22-6163-2018, https://doi.org/10.5194/hess-22-6163-2018, 2018
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The hyporheic zone is the area below riverbeds where surfacewater and groundwater mix. Hyporheic flow is linked to river processes and functions, but research to date has not sufficiently addressed how factors operating at different scales in time and space drive hyporheic flow variations at reach and larger scales. This review presents the scale-specific processes and interactions that control hyporheic flow, and a case study showing how valley factors affect its expression at the reach scale.
Stefanie R. Lutz, Andrea Popp, Tim van Emmerik, Tom Gleeson, Liz Kalaugher, Karsten Möbius, Tonie Mudde, Brett Walton, Rolf Hut, Hubert Savenije, Louise J. Slater, Anna Solcerova, Cathelijne R. Stoof, and Matthias Zink
Hydrol. Earth Syst. Sci., 22, 3589–3599, https://doi.org/10.5194/hess-22-3589-2018, https://doi.org/10.5194/hess-22-3589-2018, 2018
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Media play a key role in the communication between scientists and the general public. However, the interaction between scientists and journalists is not always straightforward. In this opinion paper, we present insights from hydrologists and journalists into the benefits, aftermath and potential pitfalls of science–media interaction. We aim to encourage scientists to participate in the diverse and evolving media landscape, and we call on the scientific community to support scientists who do so.
Jason P. Julian, Kirsten M. de Beurs, Braden Owsley, Robert J. Davies-Colley, and Anne-Gaelle E. Ausseil
Hydrol. Earth Syst. Sci., 21, 1149–1171, https://doi.org/10.5194/hess-21-1149-2017, https://doi.org/10.5194/hess-21-1149-2017, 2017
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New Zealand is a natural laboratory for investigating water quality responses to land use intensity because it has one of the highest rates of agricultural intensification globally over recent decades. We interpreted water quality state and trends (1989–2014) of 77 river sites across NZ. We show that the greatest long-term negative impacts on river water quality have been increased cattle densities and legacy nutrients from intensively managed grasslands and plantation forests.
Linda Taft and Mariele Evers
Hydrol. Earth Syst. Sci., 20, 4913–4928, https://doi.org/10.5194/hess-20-4913-2016, https://doi.org/10.5194/hess-20-4913-2016, 2016
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The country of Myanmar and its abundant water resources are facing major challenges due to political and economic reforms, massive investments from neighbouring countries and climate change impacts. Publications on current and future impacts from human activities and climate change on Myanmar's river basins have been reviewed in order to gain an overview of the key drivers in these human–water dynamics. The review reveals the relevance of this information with regard to human–water interactions.
Giri R. Kattel, Xuhui Dong, and Xiangdong Yang
Hydrol. Earth Syst. Sci., 20, 2151–2168, https://doi.org/10.5194/hess-20-2151-2016, https://doi.org/10.5194/hess-20-2151-2016, 2016
M. W. Scown, M. C. Thoms, and N. R. De Jager
Hydrol. Earth Syst. Sci., 20, 431–441, https://doi.org/10.5194/hess-20-431-2016, https://doi.org/10.5194/hess-20-431-2016, 2016
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An index of floodplain surface complexity is developed in this paper and applied to eight floodplains from different geographic settings. Floodplain width and sediment yield were associated with the index or with sub-indicators, whereas hydrology was not. These findings suggest that valley and sediment conditions are important determinants of floodplain surface complexity, and these should complement hydrology as a focus of floodplain research and management.
Y. Liu and G. Wu
Hydrol. Earth Syst. Sci., 20, 93–107, https://doi.org/10.5194/hess-20-93-2016, https://doi.org/10.5194/hess-20-93-2016, 2016
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Lake droughts result in significant hydrological, ecological and economic consequences. This study proposes approaches for quantifying the lake drought features and estimating the contributions from individual factors, taking China’s largest freshwater lake as a case examination. Our results showed that the recently increased lake droughts were due to hydroclimatic effects, with less important contributions from the water impoundments of the world’s largest dam affecting the lake outflows.
E. Nixdorf and B. Boehrer
Hydrol. Earth Syst. Sci., 19, 4505–4515, https://doi.org/10.5194/hess-19-4505-2015, https://doi.org/10.5194/hess-19-4505-2015, 2015
I. Himmelsbach, R. Glaser, J. Schoenbein, D. Riemann, and B. Martin
Hydrol. Earth Syst. Sci., 19, 4149–4164, https://doi.org/10.5194/hess-19-4149-2015, https://doi.org/10.5194/hess-19-4149-2015, 2015
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The article presents a long-term analysis of flood occurrence along the southern part of the Upper Rhine River system and of 14 of its tributaries in France and Germany since 1480 BC. Special focus is given to temporal and spatial variations of flood events and their underlying meteorological causes over time, knowledge about the historical aspects of flood protection and flood vulnerability, while comparing selected historical and modern extreme events, establishing a common evaluation scheme.
M. M. Mrokowska, P. M. Rowiński, and M. B. Kalinowska
Hydrol. Earth Syst. Sci., 19, 4041–4053, https://doi.org/10.5194/hess-19-4041-2015, https://doi.org/10.5194/hess-19-4041-2015, 2015
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This paper presents evaluation of resistance parameters: friction slope, friction velocity and Manning coefficient in unsteady flow. Theoretical description is facilitated with the analysis of field data from artificial dam-break flood waves in a small lowland watercourse. The methodology to enhance the evaluation of resistance by relations derived from flow equations is proposed. The study shows the Manning coefficient is less sensitive to simplified relations than other parameters.
G. Benito, R. Brázdil, J. Herget, and M. J. Machado
Hydrol. Earth Syst. Sci., 19, 3517–3539, https://doi.org/10.5194/hess-19-3517-2015, https://doi.org/10.5194/hess-19-3517-2015, 2015
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Historical hydrology combines documentary data with hydrological methods to lengthen flow records to the past centuries. We describe the methodological evolution of historical hydrology under the influence of developments in hydraulics and statistics. Analysis of 45 case studies in Europe show that present flood magnitudes are not unusual in the context of the past, whereas flood frequency has decreased, although some rivers show a reactivation of rare floods over the last two decades.
E. Isokangas, K. Rozanski, P. M. Rossi, A.-K. Ronkanen, and B. Kløve
Hydrol. Earth Syst. Sci., 19, 1247–1262, https://doi.org/10.5194/hess-19-1247-2015, https://doi.org/10.5194/hess-19-1247-2015, 2015
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An iterative isotope mass balance approach was used to quantify the groundwater dependence of 67 kettle lakes and ponds. A quantitative measure for the dependence of a lake on groundwater (G index) introduced in this study revealed generally large groundwater dependency among the lakes. The isotope mass balance approach proved to be especially useful when the groundwater reliance of lakes situated in a relatively small area with similar climatic conditions needs to be determined.
J. H. Gao, J. Jia, Y. P. Wang, Y. Yang, J. Li, F. Bai, X. Zou, and S. Gao
Hydrol. Earth Syst. Sci., 19, 645–655, https://doi.org/10.5194/hess-19-645-2015, https://doi.org/10.5194/hess-19-645-2015, 2015
P. Ronco, V. Gallina, S. Torresan, A. Zabeo, E. Semenzin, A. Critto, and A. Marcomini
Hydrol. Earth Syst. Sci., 18, 5399–5414, https://doi.org/10.5194/hess-18-5399-2014, https://doi.org/10.5194/hess-18-5399-2014, 2014
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This paper proposes a methodology, shaped by the EU Flood Directive, for the integrated assessment of flood risk at the regional scale for multiple receptors (i.e. people, economic activities, natural and semi-natural systems and cultural heritage) based on the subsequent assessment of hazards, exposure and vulnerability. By means of MCDA and GIS tools, it supports the ranking of the area, sub-areas and hotspots at risk, in order to evaluate the benefits of different risk prevention scenarios.
R. Brázdil, K. Chromá, L. Řezníčková, H. Valášek, L. Dolák, Z. Stachoň, E. Soukalová, and P. Dobrovolný
Hydrol. Earth Syst. Sci., 18, 3873–3889, https://doi.org/10.5194/hess-18-3873-2014, https://doi.org/10.5194/hess-18-3873-2014, 2014
A. Emmer and V. Vilímek
Hydrol. Earth Syst. Sci., 18, 3461–3479, https://doi.org/10.5194/hess-18-3461-2014, https://doi.org/10.5194/hess-18-3461-2014, 2014
S. T. Harrington and J. R. Harrington
Hydrol. Earth Syst. Sci., 18, 2191–2200, https://doi.org/10.5194/hess-18-2191-2014, https://doi.org/10.5194/hess-18-2191-2014, 2014
J. Dawidek and B. Ferencz
Hydrol. Earth Syst. Sci., 18, 1457–1465, https://doi.org/10.5194/hess-18-1457-2014, https://doi.org/10.5194/hess-18-1457-2014, 2014
J. A. Leach and R. D. Moore
Hydrol. Earth Syst. Sci., 18, 819–838, https://doi.org/10.5194/hess-18-819-2014, https://doi.org/10.5194/hess-18-819-2014, 2014
T. R. Jackson, R. Haggerty, and S. V. Apte
Hydrol. Earth Syst. Sci., 17, 2747–2779, https://doi.org/10.5194/hess-17-2747-2013, https://doi.org/10.5194/hess-17-2747-2013, 2013
G. Göransson, M. Larson, and D. Bendz
Hydrol. Earth Syst. Sci., 17, 2529–2542, https://doi.org/10.5194/hess-17-2529-2013, https://doi.org/10.5194/hess-17-2529-2013, 2013
F. Gallart, N. Prat, E. M. García-Roger, J. Latron, M. Rieradevall, P. Llorens, G. G. Barberá, D. Brito, A. M. De Girolamo, A. Lo Porto, A. Buffagni, S. Erba, R. Neves, N. P. Nikolaidis, J. L. Perrin, E. P. Querner, J. M. Quiñonero, M. G. Tournoud, O. Tzoraki, N. Skoulikidis, R. Gómez, M. M. Sánchez-Montoya, and J. Froebrich
Hydrol. Earth Syst. Sci., 16, 3165–3182, https://doi.org/10.5194/hess-16-3165-2012, https://doi.org/10.5194/hess-16-3165-2012, 2012
G. Göransson, M. Larson, D. Bendz, and M. Åkesson
Hydrol. Earth Syst. Sci., 16, 1879–1893, https://doi.org/10.5194/hess-16-1879-2012, https://doi.org/10.5194/hess-16-1879-2012, 2012
M. Forsius, T. Saloranta, L. Arvola, S. Salo, M. Verta, P. Ala-Opas, M. Rask, and J. Vuorenmaa
Hydrol. Earth Syst. Sci., 14, 2629–2642, https://doi.org/10.5194/hess-14-2629-2010, https://doi.org/10.5194/hess-14-2629-2010, 2010
D. M. Thompson and C. R. McCarrick
Hydrol. Earth Syst. Sci., 14, 1321–1330, https://doi.org/10.5194/hess-14-1321-2010, https://doi.org/10.5194/hess-14-1321-2010, 2010
Cited articles
Alsdorf, D. E. and Lettenmaier, D. P.: Tracking fresh water from space, Science, 301, 1491–1494, 2003.
Alsdorf, D. E., Lettenmaier, D. P., and Mognard, N. M.: Remote Sensing of Surface Water and Recent Developments in the SWOT Mission, in: Fall Meeting of the AGU, Session H21J-06, San Francisco, CA, 2011.
Anderson, B. D. O. and Moore, J. B.: Optimal Filtering, Prentice Hall, New York, 1–348, 1979.
Andreadis, K. M., Clark, E. A., Lettenmaier, D. P., and Alsdorf, D. E.: Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model, Geophys. Res. Lett., 34, L10403, https://doi.org/10.1029/2007GL029721, 2007.
Beven, K.: Generalized Kinematic Routing Method, Water Resour. Res., 15, 1238–1242, 1979.
Biancamaria, S., Durand, M., Andreadis, K. M., Bates, P. D., Boone, A., Mognard, N. M., Rodriguez, E., Alsdorf, D. E., Lettenmaier, D. P., and Clark, E. A.: Assimilation of virtual wide swath altimetry to improve Arctic river modeling, Remote Sens. Environ., 115, 373–381, 2011.
Brutsaert, W.: The Unit Response of Groundwater Outflow from a Hillslope, Water Resour. Res., 30, 2759–2763, 1994.
Cosgrove, B., Lohmann, D., Mitchell, K., Houser, P., Wood, E., Schaake, J., Robock, A., Marshall, C., Sheffield, J., Duan, Q., Luo, L., Higgins, R., Pinker, R., Tarpley, J., and Meng, J.: Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project, J. Geophys. Res.-Atmos., 108, 8842, https://doi.org/10.1029/2002JD003118, 2003.
Durand, M., Andreadis, K. M., Alsdorf, D. E., Lettenmaier, D. P., Moller, D., and Wilson, M.: Estimation of bathymetric depth and slope from data assimilation of swath altimetry into a hydrodynamic model, Geophys. Res. Lett., 35, L20401, https://doi.org/10.1029/2008GL034150, 2008.
Hagemann, S. and Dumenil, L.: A parametrization of the lateral waterflow for the global scale, Clim. Dynam., 14, 17–31, 1998.
Huffman, G. J., Adler, R. F., Bolvin, D. T., Gu, G., Nelkin, E. J., Bowman, K. P., Hong, Y., Stocker, E. F., and Wolff, D. B.: The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, J. Hydrometeorol., 8, 38–55, 2007.
Kalman, R. E.: A New Approach to Linear Filtering and Prediction Problems, Transactions of the ASME, J. Basic Eng., 82, 35–45, 1960.
Liang, X., Lettenmaier, D. P., Wood, E. F., and Burges, S. J.: A Simple Hydrologically Based Model of Land-Surface Water and Energy Fluxes for General-Circulation Models, J. Geophys. Res.-Atmos., 99, 14415–14428, 1994.
Liang, X., Wood, E. F. and Lettenmaier, D. P.: Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification, Global Planet. Change, 13, 195–206, 1996.
Lohmann, D., Nolte-Holube, R., and Raschke, E.: A large-scale horizontal routing model to be coupled to land surface parametrization schemes, Tellus A – Dyn. Meteorol. Oceanogr., 48, 708–721, 1996.
Lohmann, D., Raschke, E., Nijssen, B., and Lettenmaier, D.: Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model, Hydrol. Sci. J., 43, 131–141, 1998.
Lohmann, D., Mitchell, K., Houser, P., Wood, E., Schaake, J., Robock, A., Cosgrove, B., Sheffield, J., Duan, Q., Luo, L., Higgins, R., Pinker, R., and Tarpley, J.: Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System project, J. Geophys. Res.-Atmos., 109, D07S91, https://doi.org/10.1029/2009WR008290, 2004.
McLaughlin, D. B.: An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering, Adv. Water Resour., 25, 1275–1286, 2002.
McLaughlin, D. B. and Townley, L.: A reassessment of the groundwater inverse problem, Water Resour. Res., 32, 1131–1161, 1996.
Mitchell, K. E., Lohmann, D., Houser, P. R., Wood, E. F., Schaake, J. C., Robock, A., Cosgrove, B. A., Sheffield, J., Duan, Q. Y., Luo, L. F., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Lettenmaier, D. P., Marshall, C. H., Entin, J. K., Pan, M., Shi, W., Koren, V., Meng, J., Ramsay, B. H., and Bailey, A. A.: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system, J. Geophys. Res.-Atmos., 109, D07S90, https://doi.org/10.1029/2003JD003517, 2004.
Nijssen, B., Lettenmaier, D., Liang, X., Wetzel, S., and Wood, E.: Streamflow simulation for continental-scale river basins, Water Resour. Res., 33, 711–724, 1997.
Pan, M. and Wood, E. F.: Data assimilation for estimating the terrestrial water budget using a constrained ensemble Kalman filter, J. Hydrometeorol., 7, 534–547, 2006.
Pan, M. and Wood, E. F.: Impact of Accuracy, Spatial Availability, and Revisit Time of Satellite-Derived Surface Soil Moisture in a Multiscale Ensemble Data Assimilation System, IEEE J. Select. Top. Appl. Earth Obs. Remote Sens., 3, 49–56, 2010.
Pan, M., Li, H., and Wood, E.: Assessing the skill of satellite-based precipitation estimates in hydrologic applications, Water Resour. Res., 46, W09535, https://doi.org/10.1029/2009GL037338, 2010.
Pan, M., Sahoo, A. K., Troy, T. J., Vinukollu, R. K., Sheffield, J., and Wood, E. F.: Multisource Estimation of Long-Term Terrestrial Water Budget for Major Global River Basins, J. Clim., 25, 3191–3206, 2012.
Reichle, R. H.: Data assimilation methods in the Earth sciences, Adv. Water Resour., 31, 1411–1418, 2008.
Sahoo, A. K., Pan, M., Troy, T. J., Vinukollu, R. K., Sheffield, J., and Wood, E. F.: Reconciling the global terrestrial water budget using satellite remote sensing, Remote Sens. Environ., 115, 1850–1865, 2011.
Sheffield, J., Ferguson, C. R., Troy, T. J., Wood, E. F., and McCabe, M. F.: Closing the terrestrial water budget from satellite remote sensing, Geophys. Res. Lett., 36, L07403, https://doi.org/10.1029/2003JD003823, 2009.
Tapiador, F. J., Turk, F. J., Petersen, W., Hou, A. Y., Garcia-Ortega, E., Machado, L. A. T., Angelis, C. F., Salio, P., Kidd, C., Huffman, G. J. and de Castro, M.: Global precipitation measurement: Methods, datasets and applications, Atmos. Res., 104, 70–97, 2012.
Wurbs, R.: Methods for developing naturalized monthly flows at gaged and ungaged sites, J. Hydrol. Eng., 11, 55–64, 2006.
