Benefits and Pitfalls of GRACE Data Assimilation: a Case Study of Terrestrial Water Storage Depletion in India.
Sign Up to like & getrecommendations! Published in 2017 at "Geophysical research letters"
DOI: 10.1002/2017gl072994
Abstract: This study investigates some of the benefits and drawbacks of assimilating Terrestrial Water Storage (TWS) observations from the Gravity Recovery and Climate Experiment (GRACE) into a land surface model over India. GRACE observes TWS depletion… read more here.
Keywords: assimilation; terrestrial water; groundwater; data assimilation ... See more keywords
Treating sample covariances for use in strongly coupled atmosphere-ocean data assimilation
Sign Up to like & getrecommendations! Published in 2018 at "Geophysical Research Letters"
DOI: 10.1002/2017gl075534
Abstract: Strongly coupled data assimilation requires cross-domain forecast error covariances; information from ensembles can be used, but limited sampling means that ensemble derived error covariances are routinely rank deficient and/or ill-conditioned and marred by noise. Thus… read more here.
Keywords: assimilation; coupled atmosphere; data assimilation; atmosphere ocean ... See more keywords
Local ensemble transform Kalman filter for ionospheric data assimilation: Observation influence analysis during a geomagnetic storm event
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2017ja024274
Abstract: We propose a targeted observation strategy, based on the influence matrix diagnostic, that optimally selects where additional observations may be placed to improve ionospheric forecasts. This strategy is applied in data assimilation observing system experiments,… read more here.
Keywords: observation; local ensemble; data assimilation; vertical profiles ... See more keywords
The role of ocean‐atmosphere interaction in Typhoon Sinlaku (2008) using a regional coupled data assimilation system
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2017jc012750
Abstract: For improving analyses of tropical cyclone (TC) and sea surface temperature (SST) and thereby TC simulations, a regional mesoscale strongly coupled atmosphere-ocean data assimilation system was developed with the local ensemble transform Kalman filter (LETKF)… read more here.
Keywords: assimilation; sst; assimilation system; data assimilation ... See more keywords
Parallel implementation of data assimilation
Sign Up to like & getrecommendations! Published in 2017 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.4278
Abstract: Summary Kalman filter is a sequential estimation scheme that combines predicted and observed data to reduce the uncertainty of the next prediction. Because of its sequential nature, the algorithm cannot be efficiently implemented on modern… read more here.
Keywords: implementation; low memory; data assimilation; parallel implementation ... See more keywords
Improved decadal predictions of East Asian summer monsoon with a weakly coupled data assimilation scheme
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Climatology"
DOI: 10.1002/joc.7141
Abstract: The East Asian summer monsoon (EASM) has undergone significant decadal variations since the late 1970s, which greatly affects regional economic and societal activities. However, most available EASM predictions are limited to seasonal to interannual scales,… read more here.
Keywords: data assimilation; east asian; summer monsoon; asian summer ... See more keywords
On diagnosing observation-error statistics with local ensemble data assimilation
Sign Up to like & getrecommendations! Published in 2017 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3117
Abstract: Recent research has shown that the use of correlated observation errors in data assimilation can lead to improvements in analysis accuracy and forecast skill. As a result there is increased interest in characterizing, understanding and… read more here.
Keywords: data assimilation; analysis; observation; observation error ... See more keywords
Simulation and diagnosis of observation, model and background error contributions in data assimilation cycling
Sign Up to like & getrecommendations! Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3454
Abstract: Data assimilation is usually cycled in time, through a temporal succession of analysis and forecast steps. This implies that forecast errors arise from contributions of observation, model and background errors, which are introduced during successive… read more here.
Keywords: data assimilation; simulation diagnosis; observation model; model background ... See more keywords
Efficient dynamical downscaling of general circulation models using continuous data assimilation
Sign Up to like & getrecommendations! Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3612
Abstract: Author(s): Desamsetti, Srinivas; Dasari, Hari Prasad; Langodan, Sabique; Titi, Edriss S; Knio, Omar; Hoteit, Ibrahim | Abstract: Continuous data assimilation (CDA) is successfully implemented for the first time for efficient dynamical downscaling of a global… read more here.
Keywords: cda; data assimilation; dynamical downscaling; model ... See more keywords
Representativity of cloud‐profiling radar observations for data assimilation in numerical weather prediction
Sign Up to like & getrecommendations! Published in 2021 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3996
Abstract: An algorithm is presented that aims to enhance the use of satellite‐based cloud‐profiling radar (CPR) data for the purpose of NWP data assimilation. It resembles the EarthCARE mission's scene construction algorithm: off‐nadir passive radiances get… read more here.
Keywords: data assimilation; cloud profiling; passive radiances; profiling radar ... See more keywords
L p ‐norm regularization approaches in variational data assimilation
Sign Up to like & getrecommendations! Published in 2021 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.4010
Abstract: This article presents a formulation of the 4DVar objective function using as a penalty term a Lp‐norm with 1 < p read more here.
Keywords: assimilation norm; norm regularization; data assimilation; regularization approaches ... See more keywords