Geoscience Reference
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M ´ nard R (2010) Bias estimation. In: Lahoz WA, Khattatov B, M ´ nard R (eds) Data assimilation: making
sense of observations. Springer, Berlin, pp 113-135
Meng CL, Li Z-L, Zhan X, Shi JC, Liu CY (2009) Land surface temperature data assimilation and its impact
on evapotranspiration estimates from the common land model. Water Resour Res 45:W02421
Merlin O, R ¨ diger C, Al Bitar A, Richaume P, Walker JP, Kerr YH (2012) Disaggregation of SMOS soil
moisture in Southeastern Australia. IEEE Trans Geosci Remote Sens 50:1556-1571
Mialon A, Wigneron J-P, de Rosnay P, Escorihuela MJ, Kerr YH (2012) Evaluating the L-MEB model from
long-term microwave measurements over a rough field, SMOSREX 2006. IEEE Trans Geosci Remote
Sens 50:1458-1467
Misra S, Ruf CS (2012) Analysis of radio frequency interference detection algorithms in the angular domain
for SMOS. IEEE Trans Geosci Remote Sens 50:1448-1457
Monsivais-Huerteroet A, Graham W, Judge J, Agrawal D (2010) Effect of simultaneous state-parameter
estimation and forcing uncertainties on root-zone soil moisture for dynamic vegetation using EnKf.
Adv Water Resour 33:468-484
Montanari A, Toth E (2007) Calibration of hydrological models in the spectral domain: an opportunity for
scarcely gauged basins? Water Resour Res 43:W05434
Montanari M, Hostache R, Matgen P, Schumann G, Pfister L, Hoffmann L (2009) Calibration and sequential
updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages. Hydrol
Earth Syst Sci 13:367-380
Montzka C, Grant J, Moradkhani H, Hendricks-Franssen H-J, Weihermuller L, Drusch M, Vereecken H
(2012) Estimation of radiative transfer parameters from SMOS brightness temperatures using data
assimilation: implication on soil moisture retrieval. Vadose Zone J (submitted)
Moradkhani H (2008) Hydrologic remote sensing and land surface data assimilation. Sensors 8:2986-3004
Moradkhani H, Hsu K-L, Gupta H, Sorooshian S (2005a) Uncertainty assessment of hydrologic model states
and parameters: sequential data assimilation using the particle filter. Water Resour Res 41:W05012.
doi: 10.1029/2004WR003604
Moradkhani H, Sorooshian S, Gupta HV, Houser PR (2005b) Dual state-parameter estimation of hydro-
logical models using ensemble Kalman filter. Adv Water Resour 28:135-147
Morisette JT, Privette JL, Justice CO (2002) A framework for the validation of MODIS land products.
Remote Sens Environ 83:77-96
Nagarajanar K, Judgea J, Graham WD, Monsivais-Huerteroet A (2011) Particle filter-based assimilation
algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions.
Adv Water Resour 34:433-447
Nearing GS, Moran MS, Thorp KR, Collins CDH, Slack DC (2010) Likelihood parameter estimation for
calibrating a soil moisture model using radar backscatter. Remote Sens Environ 115:2564-2574
Nearing GS, Crow WT, Thorp KR, Moran MS, Reichle RH, Gupta HV (2012) Assimilating remote sensing
observations of leaf area index and soil moisture for wheat yield estimates: an observing system
simulation experiment. Water Resour Res 48:W05525
Nichols NK (2010) Mathematical concepts of data assimilation. In: Lahoz WA, Khattatov B, M´nard R
(eds) Data assimilation: making sense of observations. Springer, Berlin, pp 13-39
Ni-Meister W (2008) Recent advances on soil moisture data assimilation. Phys Geogr 29:19-37
Ni-Meister W, Houser PR, Walker J (2006) Soil moisture initialization for climate prediction: assimilation
of scanning multifrequency microwave radiometer soil moisture data into a land surface model.
J Geophys Res 111:1-15. doi: 10.1029/2006JD007190
Njoku EG, Chan TK (2006) Vegetation and surface roughness effects on AMSR-E land observations.
Remote Sens Environ 100:190-199
Noilhan J, Mahfouf J-F (1996) The ISBA land surface parameterisation scheme. Global Planet Chang
13:145-159
Norman J et al (2008) Simulation of NO and N 2 O emissions from a spruce forest during a freeze/thaw event
using an N-flux sub-model from the PnET-N-DNDC model integrated to CoupModel. Ecol Model
216:18-30
Oki T, Kanae S (2006) Global hydrological cycles and world water resources. Science 313:1068-1072
Oleson KW et al (2010) Technical description of version 4.0 of the Community Land Model (CLM), NCAR
technical note NCAR/TN-478?STR, 257 pp
Oliva R, Daganzo E, Kerr YH, Mecklenburg S, Nieto S, Richaume P, Gruhier C (2012) SMOS radio
frequency interference scenario: Status and actions taken to improve the RFI environment in the
1400-1427-MHz passive band. IEEE Trans Geosci Remote Sens 50:1427-1439
Palmer TN, Doblas-Reyes FJ, Weisheimer A, Rodwell MJ (2008) Toward seamless prediction: calibration
of climate change projections using seasonal forecasts. Bull Am Meteorol Soc 89:459-470
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