메뉴 건너뛰기




Volumn 48, Issue , 2016, Pages 131-145

Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model

Author keywords

Assimilation impacts; H SAF; Hydrological modelling; Satellite data assimilation; Soil moisture

Indexed keywords

DATA ASSIMILATION; HYDROLOGICAL MODELING; REMOTE SENSING; SATELLITE DATA; SOIL MOISTURE; SURFACE TEMPERATURE;

EID: 85015866588     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2015.06.002     Document Type: Article
Times cited : (76)

References (70)
  • 1
    • 57849127695 scopus 로고    scopus 로고
    • From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations
    • Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., Martin, E., From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations. Hydrol. Earth Syst. Sci. 12 (2008), 1323–1337, 10.5194/hess-12-1323-2008.
    • (2008) Hydrol. Earth Syst. Sci. , vol.12 , pp. 1323-1337
    • Albergel, C.1    Rüdiger, C.2    Pellarin, T.3    Calvet, J.C.4    Fritz, N.5    Froissard, F.6    Suquia, D.7    Petitpa, A.8    Piguet, B.9    Martin, E.10
  • 4
    • 85015811635 scopus 로고    scopus 로고
    • Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes
    • Alvarez-Garreton, C., Ryu, D., Western, A.W., Su, C.-H., Crow, W.T., Robertson, D.E., Leahy, C., Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes. Hydrol. Earth Syst. Sci. Discuss. 11 (2014), 10635–10681, 10.5194/hessd-11-10635-2014.
    • (2014) Hydrol. Earth Syst. Sci. Discuss. , vol.11 , pp. 10635-10681
    • Alvarez-Garreton, C.1    Ryu, D.2    Western, A.W.3    Su, C.-H.4    Crow, W.T.5    Robertson, D.E.6    Leahy, C.7
  • 8
    • 84862997550 scopus 로고    scopus 로고
    • Assimilation of surface- and root-zone ASCAT soil moisture products into rainfall runoff modeling
    • Brocca, L., Moramarco, T., Melone, F., Wagner, W., Hasenauer, S., Hahn, S., Assimilation of surface- and root-zone ASCAT soil moisture products into rainfall runoff modeling. IEEE Trans. Geosci. Remote 50 (2012), 2534–2555, 10.1109/TGRS.2011.2177468.
    • (2012) IEEE Trans. Geosci. Remote , vol.50 , pp. 2534-2555
    • Brocca, L.1    Moramarco, T.2    Melone, F.3    Wagner, W.4    Hasenauer, S.5    Hahn, S.6
  • 10
    • 79952191311 scopus 로고    scopus 로고
    • Improving hydrologicpredictions of a catchment model via assimilation of surface soil moisture
    • Chen, F., Crow, W.T., Starks, P.J., Moriasi, D.N., Improving hydrologicpredictions of a catchment model via assimilation of surface soil moisture. Adv. Water Resour. 34:4 (2011), 526–536.
    • (2011) Adv. Water Resour. , vol.34 , Issue.4 , pp. 526-536
    • Chen, F.1    Crow, W.T.2    Starks, P.J.3    Moriasi, D.N.4
  • 11
    • 77955141782 scopus 로고    scopus 로고
    • Global estimates of snow water equivalent from passive microwave instruments: history,challenges, and future developments
    • Clifford, D., Global estimates of snow water equivalent from passive microwave instruments: history,challenges, and future developments. Int. J. Remote Sens. 31 (2010), 3707–3726.
    • (2010) Int. J. Remote Sens. , vol.31 , pp. 3707-3726
    • Clifford, D.1
  • 12
    • 75749144491 scopus 로고    scopus 로고
    • A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals
    • Crow, W.T., Ryu, D., A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals. Hydrol. Earth Syst. Sci. 13 (2009), 1–16, 10.5194/hess-13-1-2009.
    • (2009) Hydrol. Earth Syst. Sci. , vol.13 , pp. 1-16
    • Crow, W.T.1    Ryu, D.2
  • 13
    • 79451473599 scopus 로고    scopus 로고
    • Radiance data assimilation for operational snow and streamflow forecasting
    • DeChant, C.M., Moradkhani, H., Radiance data assimilation for operational snow and streamflow forecasting. Adv.Water Resour. Res. 34 (2011), 351–364.
    • (2011) Adv.Water Resour. Res. , vol.34 , pp. 351-364
    • DeChant, C.M.1    Moradkhani, H.2
  • 14
    • 35848940507 scopus 로고    scopus 로고
    • Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter
    • De Lannoy, G.J.M., Reichle, R.H., Houser, P.R., Pauwels, V.R., Verhoest, N.E., Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter. Water Resour. Res., 43, 2007, W09410, 10.1029/2006WR005449.
    • (2007) Water Resour. Res. , vol.43 , pp. W09410
    • De Lannoy, G.J.M.1    Reichle, R.H.2    Houser, P.R.3    Pauwels, V.R.4    Verhoest, N.E.5
  • 15
    • 84863035830 scopus 로고    scopus 로고
    • Multiscale assimilation of advanced microwave scanning radiometer. EOS snow water equivalent and moderate resolution imaging spectro radiometer snow cover fraction observations in northern Colorado
    • De Lannoy, G.J.M., Reichle, R.H., Arsenault, K.R., Houser, P.R., Kumar, S., Verhoest, N.E.C., Pauwels, V.R.N., Multiscale assimilation of advanced microwave scanning radiometer. EOS snow water equivalent and moderate resolution imaging spectro radiometer snow cover fraction observations in northern Colorado. Water Resour. Res., 48, 2012, W01522, 10.1029/2011WR010588.
    • (2012) Water Resour. Res. , vol.48 , pp. W01522
    • De Lannoy, G.J.M.1    Reichle, R.H.2    Arsenault, K.R.3    Houser, P.R.4    Kumar, S.5    Verhoest, N.E.C.6    Pauwels, V.R.N.7
  • 17
    • 0001064782 scopus 로고
    • The force-restore method for surface temperature and its generalization
    • Dickinson, R., The force-restore method for surface temperature and its generalization. J. Climate 1 (1988), 1086–1097.
    • (1988) J. Climate , vol.1 , pp. 1086-1097
    • Dickinson, R.1
  • 19
    • 84055212519 scopus 로고    scopus 로고
    • Assimilation of ASCAT near-surface soil moisture into the French SIM hydrological model
    • Draper, C.S., Mahfouf, J.-F., Calvet, J.-C., Martin, E., Wagner, W., Assimilation of ASCAT near-surface soil moisture into the French SIM hydrological model. Hydrol. Earth Syst. Sci. 15 (2011), 3829–3841, 10.5194/hess-15-3829-2011.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , pp. 3829-3841
    • Draper, C.S.1    Mahfouf, J.-F.2    Calvet, J.-C.3    Martin, E.4    Wagner, W.5
  • 20
    • 84863116417 scopus 로고    scopus 로고
    • Assimilation of passive and active microwave soil moisture retrievals
    • Draper, C.S., Reichle, R.H., De Lannoy, G.J.M., Liu, Q., Assimilation of passive and active microwave soil moisture retrievals. Geophys. Res. Lett., 39, 2012, L04401, 10.1029/2011GL050655.
    • (2012) Geophys. Res. Lett. , vol.39 , pp. L04401
    • Draper, C.S.1    Reichle, R.H.2    De Lannoy, G.J.M.3    Liu, Q.4
  • 21
    • 34347327939 scopus 로고    scopus 로고
    • Initializing numerical weather prediction models with satellite derived surface soil moisture: data assimilation experiments with ECMWF's Integrated Forecast System and the TMI soil moisture data set
    • Drusch, M., Initializing numerical weather prediction models with satellite derived surface soil moisture: data assimilation experiments with ECMWF's Integrated Forecast System and the TMI soil moisture data set. J. Geophys. Res., 112, 2007, D03102, 10.1029/2006JD007478.
    • (2007) J. Geophys. Res. , vol.112 , pp. D03102
    • Drusch, M.1
  • 22
    • 62749144048 scopus 로고    scopus 로고
    • Radiance assimilation shows promise for snowpack characterization
    • Durand, M., Kim, E.J., Margulis, S.A., Radiance assimilation shows promise for snowpack characterization. Geophys. Res. Lett., 36, 2009, L02503, 10.1029/2008GL035214.
    • (2009) Geophys. Res. Lett. , vol.36 , pp. L02503
    • Durand, M.1    Kim, E.J.2    Margulis, S.A.3
  • 24
    • 84865495165 scopus 로고    scopus 로고
    • Hydrologic data assimilation with a hillslope-scale-resolving model andL band radar observations: synthetic experiments with the ensemble Kalman filter
    • Flores, A.N., Bras, R.L., Entekhabi, D., Hydrologic data assimilation with a hillslope-scale-resolving model andL band radar observations: synthetic experiments with the ensemble Kalman filter. Water Resour. Res., 48, 2012, W08509, 10.1029/2011WR011500.
    • (2012) Water Resour. Res. , vol.48 , pp. W08509
    • Flores, A.N.1    Bras, R.L.2    Entekhabi, D.3
  • 26
    • 73449108185 scopus 로고    scopus 로고
    • General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling
    • Gabellani, S., Silvestro, F., Rudari, R., Boni, G., General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling. Nat. Hazards Earth Sci. 8 (2008), 1317–1327.
    • (2008) Nat. Hazards Earth Sci. , vol.8 , pp. 1317-1327
    • Gabellani, S.1    Silvestro, F.2    Rudari, R.3    Boni, G.4
  • 27
    • 77950867523 scopus 로고    scopus 로고
    • Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra-Aqua MODIS and Aqua AMSR-E measurements
    • Gao, Y., Xie, H., Lu, N., Yao, T., Liang, T., Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra-Aqua MODIS and Aqua AMSR-E measurements. J. Hydrol. 385 (2010), 23–35.
    • (2010) J. Hydrol. , vol.385 , pp. 23-35
    • Gao, Y.1    Xie, H.2    Lu, N.3    Yao, T.4    Liang, T.5
  • 29
    • 84855288520 scopus 로고    scopus 로고
    • Implementation of surface soil moisture data assimilation with watershed scale distributed hydrological model
    • Han, E., Venkatesh, M., Heathman, G.C., Implementation of surface soil moisture data assimilation with watershed scale distributed hydrological model. J. Hydrol. 416-417 (2012), 98–117.
    • (2012) J. Hydrol. , vol.416-417 , pp. 98-117
    • Han, E.1    Venkatesh, M.2    Heathman, G.C.3
  • 33
    • 0019110702 scopus 로고
    • Profile soil moisture from space measurements
    • Jackson, T.J., Profile soil moisture from space measurements. J. Irrig. Drain Div.-ASCE 106 (1980), 81–92.
    • (1980) J. Irrig. Drain Div.-ASCE , vol.106 , pp. 81-92
    • Jackson, T.J.1
  • 34
    • 77952137444 scopus 로고    scopus 로고
    • The SMOS mission: new tool for monitoring key elements of the global water cycle
    • Kerr, Y.H., Waldteufel, P., Wigneron, J.-P., Delwart, S., Cabot, F., Boutin, J., et al. The SMOS mission: new tool for monitoring key elements of the global water cycle. Proc. IEEE 98:5 (2010), 666–687.
    • (2010) Proc. IEEE , vol.98 , Issue.5 , pp. 666-687
    • Kerr, Y.H.1    Waldteufel, P.2    Wigneron, J.-P.3    Delwart, S.4    Cabot, F.5    Boutin, J.6
  • 35
    • 77649131415 scopus 로고    scopus 로고
    • Use of satellite-derived data for characterization of snow cover and simulation of snowmelt runoff through a distributed physically based model of runoff generation
    • Kuchment, L.S., Romanov, P., Gelfan, A.N., Demidov, V.N., Use of satellite-derived data for characterization of snow cover and simulation of snowmelt runoff through a distributed physically based model of runoff generation. Hydrol. Earth Syst. Sci. 14 (2010), 339–350, 10.5194/hess-14-339-2010.
    • (2010) Hydrol. Earth Syst. Sci. , vol.14 , pp. 339-350
    • Kuchment, L.S.1    Romanov, P.2    Gelfan, A.N.3    Demidov, V.N.4
  • 36
    • 74149084429 scopus 로고    scopus 로고
    • Role of subsurface physics in the assimilation of surface soil moisture observations
    • Kumar, S.V., Reichle, R.H., Koster, R.D., Crow, W.T., Peters-Lidard, C.D., Role of subsurface physics in the assimilation of surface soil moisture observations. J. Hydrometeorol., 2009 http://dx.doi.org/10.1175/2009JHM1134.1.
    • (2009) J. Hydrometeorol.
    • Kumar, S.V.1    Reichle, R.H.2    Koster, R.D.3    Crow, W.T.4    Peters-Lidard, C.D.5
  • 38
    • 84862908327 scopus 로고    scopus 로고
    • Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint
    • Li, B., Toll, D., Zhan, X., Cosgrove, B., Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint. Hydrol. Earth Syst. Sci. 16 (2012), 105–119, 10.5194/hess-16-105-2012.
    • (2012) Hydrol. Earth Syst. Sci. , vol.16 , pp. 105-119
    • Li, B.1    Toll, D.2    Zhan, X.3    Cosgrove, B.4
  • 39
    • 58049097465 scopus 로고    scopus 로고
    • A simple data assimilation system for complex snow distributions (SnowAssim)
    • Liston, G.E., Hiemstra, C.A., A simple data assimilation system for complex snow distributions (SnowAssim). J. Hydrometeorol. 9 (2008), 989–1004.
    • (2008) J. Hydrometeorol. , vol.9 , pp. 989-1004
    • Liston, G.E.1    Hiemstra, C.A.2
  • 42
    • 0014776873 scopus 로고
    • River flood forecasting through conceptual models I: a discussion of principles
    • Nash, J.E., Sutcliffe, J.V., River flood forecasting through conceptual models I: a discussion of principles. J. Hydrol. 10 (1970), 282–290.
    • (1970) J. Hydrol. , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 44
    • 33845372340 scopus 로고    scopus 로고
    • Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale
    • Parajka, J., Naeimi, V., Blöschl, G., Wagner, W., Merz, R., Scipal, K., Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale. Hydrol. Earth Syst. Sci. 10 (2006), 353–368.
    • (2006) Hydrol. Earth Syst. Sci. , vol.10 , pp. 353-368
    • Parajka, J.1    Naeimi, V.2    Blöschl, G.3    Wagner, W.4    Merz, R.5    Scipal, K.6
  • 45
    • 84862989009 scopus 로고    scopus 로고
    • 2012. Soil moisture retrievals from the WindSat spaceborne polarimetric microwave radiometer
    • Parinussa, R.M., Holmes, TRH, de Jeu, R.A.M., 2012. Soil moisture retrievals from the WindSat spaceborne polarimetric microwave radiometer. IEEE Trans. Geosci. Remote Sens., 2011, 10.1109/TGRS.2011.2174643.
    • (2011) IEEE Trans. Geosci. Remote Sens.
    • Parinussa, R.M.1    Holmes, T.R.H.2    de Jeu, R.A.M.3
  • 47
    • 0035885448 scopus 로고    scopus 로고
    • The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for smallscale basins through data assimilation
    • Pauwels, V.R., Hoeben, R., Verhoest, N.E., De Troch, F.P., The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for smallscale basins through data assimilation. J. Hydrol. 251 (2001), 88–102.
    • (2001) J. Hydrol. , vol.251 , pp. 88-102
    • Pauwels, V.R.1    Hoeben, R.2    Verhoest, N.E.3    De Troch, F.P.4
  • 48
    • 84880056593 scopus 로고    scopus 로고
    • Monitoring soil moisture in an agricultural test site using SAR data: design and test of a pre-operational procedure
    • Pierdicca, N., Pulvirenti, L., Bignami, C., Ticconi, F., Monitoring soil moisture in an agricultural test site using SAR data: design and test of a pre-operational procedure. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 6 (2013), 1199–1210.
    • (2013) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , vol.6 , pp. 1199-1210
    • Pierdicca, N.1    Pulvirenti, L.2    Bignami, C.3    Ticconi, F.4
  • 49
    • 84890422725 scopus 로고    scopus 로고
    • Analysis of two years of ASCAT- and SMOS-derived soil moisture estimates over Europe and North Africa
    • Pierdicca, N., Pulvirenti, L., Fascetti, F., Crapolicchio, R., Talone, M., Analysis of two years of ASCAT- and SMOS-derived soil moisture estimates over Europe and North Africa. Eur. J. Remote Sens. 46 (2013), 759–773.
    • (2013) Eur. J. Remote Sens. , vol.46 , pp. 759-773
    • Pierdicca, N.1    Pulvirenti, L.2    Fascetti, F.3    Crapolicchio, R.4    Talone, M.5
  • 50
    • 84891744838 scopus 로고    scopus 로고
    • A prototype software package to retrieve soil moisture from sentinel-1 data by using a bayesian multitemporal algorithm
    • Pierdicca, N., Pulvirenti, L., Pace, G., A prototype software package to retrieve soil moisture from sentinel-1 data by using a bayesian multitemporal algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 7 (2014), 153–166.
    • (2014) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , vol.7 , pp. 153-166
    • Pierdicca, N.1    Pulvirenti, L.2    Pace, G.3
  • 51
    • 34347350321 scopus 로고    scopus 로고
    • Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and the Scanning Multichannel Microwave Radiometer (SMMR)
    • Reichle, R.H., Koster, R.D., Liu, P., Mahanama, S.P.P., Njoku, E.G., Owe, M., Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and the Scanning Multichannel Microwave Radiometer (SMMR). J. Geophys. Res., 112, 2007, D09108, 10.1029/2006JD008033.
    • (2007) J. Geophys. Res. , vol.112 , pp. D09108
    • Reichle, R.H.1    Koster, R.D.2    Liu, P.3    Mahanama, S.P.P.4    Njoku, E.G.5    Owe, M.6
  • 52
    • 78049312763 scopus 로고    scopus 로고
    • Assimilation of satellite-derived skin temperature observations into land surface models
    • Reichle, R.H., Kumar, S.V., Mahanama, S.P.P., Koster, R.D., Liu, Q., Assimilation of satellite-derived skin temperature observations into land surface models. J. Hydrometeorol. 11 (2010), 1103–1122, 10.1175/2010JHM1262.1.
    • (2010) J. Hydrometeorol. , vol.11 , pp. 1103-1122
    • Reichle, R.H.1    Kumar, S.V.2    Mahanama, S.P.P.3    Koster, R.D.4    Liu, Q.5
  • 53
    • 84897438123 scopus 로고    scopus 로고
    • Connecting satellite observations with water cycle variables through land data assimilation: examples using the NASA GEOS -5 LDAS
    • Reichle, R.H., De Lannoy, G.J.M., Forman, B.A., Draper, C.S., Liu, Q., Connecting satellite observations with water cycle variables through land data assimilation: examples using the NASA GEOS -5 LDAS. Surv. Geophys., 2014, 10.1007/s10712-013-9220-8.
    • (2014) Surv. Geophys.
    • Reichle, R.H.1    De Lannoy, G.J.M.2    Forman, B.A.3    Draper, C.S.4    Liu, Q.5
  • 54
    • 84919921841 scopus 로고    scopus 로고
    • Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
    • Renzullo, L.J., Dijk Van, A.I.J., Perraud, J.-M., Collins, D., Henderson, B., Jin, H., McJannet, D.L., Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment. J. Hydrol. 519 (2014), 2747–2762, 10.1016/j.jhydrol.2014.08.008.
    • (2014) J. Hydrol. , vol.519 , pp. 2747-2762
    • Renzullo, L.J.1    Dijk Van, A.I.J.2    Perraud, J.-M.3    Collins, D.4    Henderson, B.5    Jin, H.6    McJannet, D.L.7
  • 55
    • 84870199545 scopus 로고    scopus 로고
    • Assimilation and downscaling of satellite observed soil moisture over the little river experimental watershed in Georgia, USA
    • Sahoo, A.K., De Lannoy, G.J.M., Reichle, R.H., Houser, PR, Assimilation and downscaling of satellite observed soil moisture over the little river experimental watershed in Georgia, USA. Adv. Water Resour. 52 (2013), 19–33, 10.1016/j.advwatres.2012.08.007.
    • (2013) Adv. Water Resour. , vol.52 , pp. 19-33
    • Sahoo, A.K.1    De Lannoy, G.J.M.2    Reichle, R.H.3    Houser, P.R.4
  • 56
    • 46849111426 scopus 로고    scopus 로고
    • Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system
    • Scipal, K., Drusch, M., Wagner, W., Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system. Adv. Water Resour. 31:8 (2008), 1101–1112 http://dx.doi.org/10.1016/j.advwatres.2008.04.013.
    • (2008) Adv. Water Resour. , vol.31 , Issue.8 , pp. 1101-1112
    • Scipal, K.1    Drusch, M.2    Wagner, W.3
  • 58
    • 84879094708 scopus 로고    scopus 로고
    • Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model
    • Silvestro, F., Gabellani, S., Delogu, F., Rudari, R., Boni, G., Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model. Hydrol. Earth Syst. Sci. 17 (2013), 39–62, 10.5194/hess-17-39-2013.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 39-62
    • Silvestro, F.1    Gabellani, S.2    Delogu, F.3    Rudari, R.4    Boni, G.5
  • 59
    • 84928017257 scopus 로고    scopus 로고
    • Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data
    • Silvestro, F., Gabellani, S., Rudari, R., Delogu, F., Laiolo, P., Boni, G., Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data. Hydrol. Earth Syst. Sci. 19 (2015), 1727–1751, 10.5194/hess-19-1727-2015.
    • (2015) Hydrol. Earth Syst. Sci. , vol.19 , pp. 1727-1751
    • Silvestro, F.1    Gabellani, S.2    Rudari, R.3    Delogu, F.4    Laiolo, P.5    Boni, G.6
  • 60
    • 0025656204 scopus 로고
    • Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: Experiments with synoptic-scale data
    • Stauffer, D.R., Seaman, N.L., Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: Experiments with synoptic-scale data. Mon. Weather Rev. 118 (1990), 1250–1277.
    • (1990) Mon. Weather Rev. , vol.118 , pp. 1250-1277
    • Stauffer, D.R.1    Seaman, N.L.2
  • 61
    • 77953151183 scopus 로고    scopus 로고
    • Multisensor snow data assimilation at thecontinental scale: the value of gravity recovery and climate experiment terrestrial water storageinformation
    • Su, H., Yang, Z.-L., Dickinson, R.E., Wilson, C.R., Niu, G.-Y., Multisensor snow data assimilation at thecontinental scale: the value of gravity recovery and climate experiment terrestrial water storageinformation. J. Geophys. Res., 115, 2010, D10104, 10.1029/2009JD013035.
    • (2010) J. Geophys. Res. , vol.115 , pp. D10104
    • Su, H.1    Yang, Z.-L.2    Dickinson, R.E.3    Wilson, C.R.4    Niu, G.-Y.5
  • 63
    • 0003555654 scopus 로고    scopus 로고
    • Chapter 10, July 2004
    • USDA Natural Resources Conservation Service (NRCS), 2004. National Engineering Handbook (NEH): Part 630–Hydrology. Chapter 10, July 2004. Available at: < http://www.hydrocad.net/neh/630ch10pdf/>.
    • (2004) National Engineering Handbook (NEH): Part 630–Hydrology
  • 64
    • 0033230840 scopus 로고    scopus 로고
    • A method for estimating soil moisture from ERS scatterometer and soil data
    • Wagner, W., Lemoine, G., Rott, H., A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ. 70 (1999), 191–207.
    • (1999) Remote Sens. Environ. , vol.70 , pp. 191-207
    • Wagner, W.1    Lemoine, G.2    Rott, H.3
  • 67
    • 38849157462 scopus 로고    scopus 로고
    • Hydrologic data assimilation
    • A. Aswathanarayana A.A. Balkema The Netherlands
    • Walker, J.P., Houser, P.R., Hydrologic data assimilation. Aswathanarayana, A., (eds.) Advances in water science methodologies, 2005, A.A. Balkema, The Netherlands, 230.
    • (2005) Advances in water science methodologies , pp. 230
    • Walker, J.P.1    Houser, P.R.2
  • 68
    • 84903280934 scopus 로고    scopus 로고
    • The suitability of remotely sensed soil moisture for improving operational flood forecasting
    • Wanders, N., Karssenberg, D., de Roo, A., de Jong, S.M., Bierkens, M.F.P., The suitability of remotely sensed soil moisture for improving operational flood forecasting. Hydrol. Earth Syst. Sci. 18 (2014), 2343–2357, 10.5194/hess-18-2343-2014.
    • (2014) Hydrol. Earth Syst. Sci. , vol.18 , pp. 2343-2357
    • Wanders, N.1    Karssenberg, D.2    de Roo, A.3    de Jong, S.M.4    Bierkens, M.F.P.5
  • 69
    • 84906294694 scopus 로고    scopus 로고
    • The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models
    • Wanders, N., Bierkens, M.F.P., Jong, S.M., Roo, A., Karssenberg, D., The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models. Water Resour. Res. 50 (2014), 6874–6891, 10.1002/2013WR014639.
    • (2014) Water Resour. Res. , vol.50 , pp. 6874-6891
    • Wanders, N.1    Bierkens, M.F.P.2    Jong, S.M.3    Roo, A.4    Karssenberg, D.5
  • 70
    • 33750368306 scopus 로고    scopus 로고
    • Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall–runoff models
    • Weerts, A.H., El Serafy, G.Y.H., Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall–runoff models. Water Resour. Res., 42(9), 2006, 17.
    • (2006) Water Resour. Res. , vol.42 , Issue.9 , pp. 17
    • Weerts, A.H.1    El Serafy, G.Y.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.