Summer School on hydrologic assimilation with remotely sensed measurements



July 16-20, 2001
Università degli Studi di Perugia

Bibliography (in chronological order):


Probability and estimation theory

Jazwinski, A. Stochastic Processes and Filtering Theory, Academic Press, New Yoirk, 1970

Schweppe, F., Uncertain Dynamic Systems, Prentice-Hall, New York, 1993

Tarantola, A., Inverse Problem Theory, Elsevier, Amsterdam, 1987.


Background reading on data assimilation

Gandin, L.S., Objective analysis of meteorological fields, Hydrometeoizdat, English translation by Israel Program for Scientific Translations, Jerusalem, available from NTIS as N66-18047, 1965.

Lorenc, A.C., Analysis methods for numerical weather prediction, Quart. J. R. Met. Soc., 112, 1177-1194, 1986.

Ghil, M. Meteorological data assimilation for oceanographers, Part 1, Description and theoretical framework, Dyn. Atmos. and Oceans, 13, 171-218, 1989.

Daley, R., Atmospheric Data Analysis, Cambridge University Press,
New York, 1991.

Ghil, M. and P. Malanotte-Rizzoli, Data assimilation in meteorology and oceanography, Adv. Geophys., 33, 141-266, 1991.

Bennett, A.F., Inverse Methods in Physical Oceanography, Cambridge University Press, New York, 1992.

Courtier, P., J. Derber, R. Errico, J-F. Louis, and T. Vukicevic, Important literature on the use of adjoint, variational methods and the Kalman filter in meteorology, Tellus, 45A, 342-357, 1993.

Errico, R., Workshop on assimilation of satellite data, Bull.Amer. Meteor. Soc , 80(3), 1999


Ensemble Kalman filtering

Evensen, G. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, Journal of Geophysical Research, 99, 10,143-10,1624, 1994

Burgers, G., P. J. van Leeuwen, and G. Evensen, Analysis scheme in the ensemble Kalman filter, Monthly Weather Review, 126, 1719-1724, 1998

Houtekamer, P. L. and H. L. Mitchell, Data assimilation using an ensemble Kalman filter technique, Monthly Weather Review, 126, 796-811, 1998.

Anderson, J. L. and S. L. Anderson, A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts, Monthly Weather Review, 127, 2741-2758, 1999

Errico, R., Workshop on assimilation of satellite data, Bull.Amer. Meteor. Soc , 80(3), 1999

Keppenne, C. L., Data assimilation into a primitive-equation model with a parallel ensemble Kalman filter, Monthly Weather Review,128, 1971-1981, 2000.

Houtekamer, P. L. and H. L. Mitchell. A sequential ensemble Kalman filter for atmospheric data assimilation. Monthly Weather Review, 129, p123-137. 2001


Hydrologic data assimilation

Entekhabi, D., H. Nakamura and E. G. Njoku, Solving the inverse-problem for soil moisture and temperature profiles by sequential assimilation of multifrequency remotely sensed observations, IEEE Transactions on Geoscience and Remote Sensing, 32(2), 438-448, 1994

McLaughlin, D. Recent advances in hydrologic data assimilation, In U.S. National Report to the IUGG (1991-1994), Reviews of Geophysics, Supplement, 977-984, 1995.

Galantowicz, J. F., D. Entekhabi and E. G. Njoku,Tests of sequential data assimilation for retrieving profile soil moisture and temperature from observed L band radiobrightness, IEEE Transactions on Geoscience and Remote Sensing, 37(4), 1860-1870, 1998

Galantowicz, J. F., D. Entekhabi and E. G. Njoku, Estimation of soil type heterogeneity effects in the retrieval of soil moisture from radiobrightness, IEEE Transactions on Geoscience and Remote Sensing, 38(1), 312-316, 2000

Reichle, Rolf, Variational Assimilation of Remote Sensing Data for Land Surface Hydrologic Application, PhD thesis, Mass. Instit. Tech., Cambridge, MA, February 2000.

Boni, G., F. Castelli, and D. Entekhabi, Sampling strategies and assimilation of ground temperature for the estimation of surface energy balance components, IEEE Transactions on Geosciences and Remote Sensing, 39(1), 2001

Gorenburg, I.P., D. McLaughlin and D. Entekhabi, Scale-recursive estimation of precipitation at the TOAGA-COARE site, Advances in Water Resources, in press.

Reichle, R., D. Entekhabi, and D. McLaughlin, Downscaling of Radiobrightness Measurements for Soil Moisture Estimation: A Four-Dimensional Variational Data Assimilation Approach, Water Resources Research, in press.

Reichle, R., D. McLaughlin, and D. Entekhabi, Variational data assimilation of microwave radiobrightnes observations for land surface hydrologic applications, IEEE Transactions on Geoscience and Remote Sensing, in press.

Reichle, R., McLaughlin, D., and D. Entekhabi, Hydrologic data assimilation with the ensemble Kalman filter, Monthly Weather Review, in press.



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