Multiscale ensemble filtering, with replicates conditioned on satellite cloud observations, is both realistic and efficient

2) Multiscale Data Assimilation

GOES IRReplicates from unconditional Model

Samples conditioned on real-time Infrared (GOES) data

An Ensemble Approach to Data Assimilation in the Earth Sciences ITR- 0121182 PI: Dennis McLaughlin Massachusetts Institute of Technology

Broader Impact: Multidisciplinary training, Boston Museum of Science, Alliance for Computational Earth Sciences, and Earth Systems Initiative

Faculty & Research Staff

Representative Articles(2003-2004)

1. Buehner, M. and P. Malanotte-Rizzoli, “Reduced-rank Kalman filters applied to an idealized model of the wind-driven circulation”, (accepted) Journal of Geophysical Research.

2. Hansen J.A. and K. A. Emanuel, “Forecast 4d-Var: Exploiting Model Output Statistics”, (accepted) Quarterly Journal of the Royal Meteorological Society.

3. Hansen, J.A., “Accounting for model error in ensemble-based state estimation and forecasting”, (accepted) Monthly Weather Review.

4. Lawson, W. G. and Hansen, J. A, “Implications of stochastic and deterministic filters as ensemble-based data assimilation methods in varying regimes of error growth”, (in review) Monthly Weather Review.

5. Naumann, U. and P. Heimbach, “Coupling tangent-linear and adjoint models” , vol. 2668, part II, pp. 105-114, V. Kumar, M. Gavrilova, C.J.K. Tan, P. L'Ecuyer (Ed.) Lecture Notes in Computer Science, Springer-Verlag, 2003.

6. S. Ravela, K. Emanuel and D. McLaughlin, “Data Assimilation by Field Alignment”, (in review) Monthly Weather Review.

7. W. Sun, M. Çetin, W. C. Thacker, T. M. Chin, A. S. Willsky, “Localization of Oceanic Fronts & Feature Boundaries Using a Variational Technique”, AGU 2003 (Best Student Paper Award).

8. Zang, X. and P.Malanotte-Rizzoli, "Practical Implementation of the Ensemble Kalman filter for a realistic Primitive Equation model", (in review) Monthly Weather Review.

Variational adjustment of displacements at grid nodes compensates for position errors in hurricane forecats

4) Field Alignment

5) Assimilation for Chaotic Systems

Ensemble Kalman filtering with realistic ocean models. Topex/Poseidon altimetry reduces errors in sea-surface height anomalies by over 40%

1) Dynamic Image SegmentationGulf Stream “field and boundary” estimation from sparse tracer-field measurementsBest Student Paper Award AGU 2003

3) Advanced Variational Methods

Focus: Methodological issues that cut across earth science disciplines.Nonlinearity Dimensionality Uncertainty

Adjoint methods for global state estimation merge diverse data sources

Structure: Five research clusters, each deals with a particular issue, brings together researchers from different disciplines, focuses on one or more applications

Civil and Environmental Engineering

Dennis McLaughlinDara EntekhabiSai Ravela

Adel AhaninVirat Chatdarong

Gene NgYuhua Zhou

Electrical Engineering and Computer Science

Alan WillskyMujdat Cetin

Walter Sun

Earth, Atmospheric and Planetary Science

Kerry EmanuelJames Hansen Paola Malanotte-RizzoliCarl Wunsch

Patrick HeimbachSai Ravela

Sang Jin LyuGregory Lawson

Vikram Khade