FACULTY
Distinguished
University Professor, Department of Atmospheric and Oceanic Science
Member of the National Academy of Engineering (1996); foreign
member of the Academia Europaea (2000); Distinguished University Professor,
UMD, 2001; Eugenia Brin Professor in Data Assimilation (2008); corresponding
member of the Argentine National Academy of Physical Sciences (2003), Fellow of
AGU (2005), AAAS (2006), UMD Kirwan 2006 Award, former Robert E. Lowry Chair,
School of Meteorology, U. of Oklahoma. Former Director of the Environmental
Modeling Center at NCEP. Her recent work on the impact of land use on climate
change (Kalnay and Cai, Nature, 2003), was chosen by Discovery Magazine as one
of the top 100 science news of the year (see feature in International Association for Urban Climate newsletter). The
Reanalysis paper of 1996 is the most cited paper in all geosciences in the last
decades. Education: License in Meteorology, University of Buenos Aires, 1965.
Ph. D., 1971, MIT (under Jule G. Charney). Email: ekalnay@atmos.umd.edu Tel:
(301) 405-5370/5391; Fax: (301)314-9482
Address: Department of
Meteorology, University of Maryland, 3431 Computer and Space Sciences Bldg.,
College Park, MD, 20742-2425
From 1987 to 1997, Eugenia Kalnay was the Director of the Environmental
Modeling Center (EMC, ex Development Division) of the National Centers for
Environmental Prediction (NCEP, ex NMC), National Weather Service (NWS). During
those ten years there were major improvements in the NWS models' forecast
skill. Many successful projects such as the 50-year NCEP/NCAR Reanalysis, Eta
model and data assimilation changes associated with GCIP, seasonal and
interannual dynamical predictions, ensemble forecasting, 3-D and 4-D
variational data assimilation, advanced quality control, coastal ocean
forecasting, were developed. EMC became a pioneer in both the fundamental
science and the practical applications of numerical weather prediction.
Current research interests of Dr. Kalnay are in predictability and
ensemble forecasting, numerical weather prediction, data assimilation, coupled
ocean-atmosphere modeling and climate change. With her collaborators Dr.
Zhao-xia Pu and Dr. Seon Ki Park, she introduced the method of backward
integration of atmospheric models and several novel applications to targeted
observations and data assimilation. Dr. Zoltan Toth and Eugenia Kalnay
introduced the breeding method for ensemble forecasting. She is also the author
(with Ross Hoffman and Wesley Ebisuzaki) of other widely used ensemble methods
known as Lagged Averaged Forecasting and Scaled LAF. Cambridge University Press
published her book, Atmospheric Modeling, Data Assimilation and Predictability,
in November of 2002, which sold out within a year, is now on its fourth
printing and was officially translated and published in Chinese (2005).
She worked with Drs. Shu-Chih Yang and Ming Cai on ensemble and
data assimilation methods on coupled ocean-atmosphere models using breeding (Cai
et al, 2003, Yang et al, 2005, 2006), on the one and two-way interaction of the
ocean and the atmosphere (Pena et al., 2003), and on the estimation of the
impact of land-cover and land-use in climate change (Kalnay and Cai, 2003, Cai
and Kalnay, 2005, Lim et al., 2005, Kalnay et al. 2006, Lim et al. 2006).
She is working with the Weather/Chaos Group at UMCP, which discovered
the presence of low dimensionality in unstable regions of the atmosphere (Patil
et al, 2002) and applied this result to develop the Local Ensemble Kalman
Filter (Ott et al. 2002, 2004, Szunyogh et al., 2005) and the Local Ensemble
Transform Kalman Filter (Hunt, 2005, Hunt et al., 2006), and its extension to 4
dimensions (Hunt et al, 2004). The application of breeding to data assimilation
resulted in an efficient hybrid method
(Corazza et al 2002, Kalnay et al 2002). She has also published
papers on atmospheric dynamics and convection, use of satellite data, numerical
methods, and the atmosphere of Venus. She received several major awards
including the AMS Jule G. Charney Award, the NASA medal for Exceptional
Scientific Achievement, Dept of Commerce gold medals, the Senior Executive
Service Presidential Rank Award, and the first Eugenia Brin Endowed
Professorship in Data Assimilation (2008).
Malise
Cooper Dick, Malise and Eugenia, Washington Post
In the midst of chaos, good predictions
International Association
for Urban Climate features our work ; JGR paper on ArgentinaÕs land change
Ensemble Kalman Filter: Current Status and Potential
(book Chapter)
Accelerating spin-up in EnKF: Running
in Place
Six
Lectures in Alghero, MSMM08: 1: (intro predict), 2: Tang/Adj Models-SVs, 3: BV applications, 4: EKF&EnKF, 5: New ideas to improve EnKF, 6: 4D-Var and EnKF
Two
lectures in Puerto Rico: 1.
Reanalyses; 2. Impact of Land Use on
Climate Change
Thesis of Junjie Liu:
Adaptive obs, obs sensitivity, obs impact w/o adjoint, and assimilation of
humidity. PPT
of defense. Forecast sensitivity to observations without adjoint (QJ)
.
Applications
of LETKF: adaptive observations, information content, observation sensitivity
and assimilation of humidity: Junjie Liu thesis
defense PPT.
Tellus A
(Oct07): 4D-Var or EnKF?,
Discussion by
Gustafsson, Response
to Discussion
LETKF
with realistic observations (Dr. Hong Li
defense PPT); Hong Li dissertation; Simultaneous estimation of inflation and
observational errors
Lidar Workshop: Adaptive observations
AMS 2007
presentations (ppt.pdf): Li-Kalnay-Online-Estimation-Inflation&ObErrors,
Liu-Kalnay-AdaptiveObservations, Liu-AssimHumidity, Li-AIRSretrievals, Li-Model-Errors, Yang-QGcomparison-4DVarEnKFHybrid3DVar, Kalnay-ArakawaSymposium (Breeding-A
simple tool for complex dynamics);Kalnay-Li-Miyoshi:Inflation-ObErrorsEstimation
(extended abstract)
Featured article in the
International Association for Urban Climate newsletter; AMS-2007SummaryPoster on impact of land-use on temperature
trends, JGR NEW paper, Lim-Cai-Kalnay-Zhou (2007, JAMC-revised), GRL
Lim-Cai-Kalnay-Zhou paper on the the impact of land-type on surface warming (in
press), AGU-2005PPT, Nature
Kalnay-Cai 2003paper on impact of land use on climate change (pdf), Corrigendum
(pdf),CorrectedFig2,
Corrected Fig3,
Suppl Fig1,
SupplFig2,
Suppl Fig3,Response to
comments , ChristianScience
Monitor article (A parking lot effect?), letter to CSM editor
from Kalnay and Cai, Related paper by Zhou, Dickinson, et
al
4DVar or EnKF?(submitted to Tellus), 4DVar or EnKF
(ppt-pdf), AdaptiveObservations, Corazza et al 2007 (NPG), LocalEnsemble Kalman Filter (Ott et
al, 2004, Tellus); 4-DimensionalEnsemble
KalmanFilter, Tellus, 2004
http://math.gmu.edu/~tsauer/fourdvar;LEKFexperimentswith
the NCEP global model (Szunyogh et al, Tellus, 2005, in press). Hunt (2005,
link), Harlim and Hunt
(2006, link)
Estimating
and correcting model errors(JAS 07), Estimating and correcting model errors
(Danforth et al ESSIC seminar ppt), Estimating
and correcting model errors (Danforth et al, MWR-2007). Defense
presentation
IUGG 2003 Sushi
lecture; ECMWF 2002
Predictability Book: Ensemble forecasting and data assimilation: two
problems with the same solution? See also 50thNWP Symposium.
SAMSI Talk: 4D-Var or EnKF.
RISE 2004: Synchronization and data assimilation (PPT), JAS
(2006) paper , RISE 2002: Evans et al (2004) BAMS Lorenz model is predictable, pdf
version.
AMS 2004 extended
abstracts: Land-use and climate change, Initialization of unstable coupled systems, Lifespan ofcoupled anomalies, Bred and Singular vectors and data assimilation,
Regional Reanalysis, Local Ensemble Kalman Filter, 4D-Ensemble
Kalman Filter,
50thNWPSymposium: Ensemble forecasting anddata assimilation, two problems
with the same solution?, LEKF at UMd (Szunyogh et al 2005)
MOS, Perfect Prog
and Reanalysis (Marzban, Sandgathe, Kalnay, MWR 2006)
Inverse 3D-VAR to
precondition 4Dvar (Park and Kalnay, GRL, 2004 , Kalnay
et al, 2000)
Breeding
in a coupled system: Yang et al.(2007, subm MWR); Yang et
al (JClim, 2006); Yang ESSIC Seminar 2006; Shu-ChihYang
thesis; MIT-Seminar 2005; Pena and Kalnay,
NPG,2004, Shu-Chih Yang,
Kalnay and Cai (PPT); Bred Vectors of
the Cane-Zebiak model (Cai et al), (Powerpoint)
AMS-2002: Use of Breeding in DataAssimilation (Corazza et al, 2002);
Lyapunov and BredVectors (Kalnay et al 2002), (Powerpoint); Low dimensionality paper (Patil et al, PRL)
Breeding and the errors of
the day (Corazza et al, 2003); Keeping the bred
vectors young (Powerpoint)
One-Way and Two-Way ocean-atmosphere coupling (Pena et
al); Lifespan of coupled anomalies (Pena et al, JoC, 2004)
Ensemble forecasting and data assimilation seminar at NCAR (powerpoint)
Atmospheric Modeling, Data Assimilation and Predictability (comments on the book