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Artykuły w czasopismach na temat "Assimilatie"
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Lu, Yang, Susan C. Steele-Dunne i Gabriëlle J. M. De Lannoy. "Improving Soil Moisture and Surface Turbulent Heat Flux Estimates by Assimilation of SMAP Brightness Temperatures or Soil Moisture Retrievals and GOES Land Surface Temperature Retrievals". Journal of Hydrometeorology 21, nr 2 (luty 2020): 183–203. http://dx.doi.org/10.1175/jhm-d-19-0130.1.
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AbstractSurface heat fluxes are vital to hydrological and environmental studies, but mapping them accurately over a large area remains a problem. In this study, brightness temperature (TB) observations or soil moisture retrievals from the NASA Soil Moisture Active Passive (SMAP) mission and land surface temperature (LST) product from the Geostationary Operational Environmental Satellite (GOES) are assimilated together into a coupled water and heat transfer model to improve surface heat flux estimates. A particle filter is used to assimilate SMAP data, while a particle smoothing method is adopted to assimilate GOES LST time series, correcting for both systematic biases via parameter updating and for short-term error via state updating. One experiment assimilates SMAP TB at horizontal polarization and GOES LST, a second experiment assimilates SMAP TB at vertical polarization and GOES LST, and a third experiment assimilates SMAP soil moisture retrievals along with GOES LST. The aim is to examine if the assimilation of physically consistent TB and LST observations could yield improved surface heat flux estimates. It is demonstrated that all three assimilation experiments improved flux estimates compared to a no-assimilation case. Assimilating TB data tends to produce smaller bias in soil moisture estimates compared to assimilating soil moisture retrievals, but the estimates are influenced by the respective bias correction approaches. Despite the differences in soil moisture estimates, the flux estimates from different assimilation experiments are in general very similar.
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Kerr, Christopher A., David J. Stensrud i Xuguang Wang. "Assimilation of Cloud-Top Temperature and Radar Observations of an Idealized Splitting Supercell Using an Observing System Simulation Experiment". Monthly Weather Review 143, nr 4 (31.03.2015): 1018–34. http://dx.doi.org/10.1175/mwr-d-14-00146.1.
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Abstract The Geostationary Operational Environmental Satellite-R Series will provide cloud-top observations on the convective scale at roughly the same frequency as Doppler radar observations. To evaluate the potential value of cloud-top temperature observations for data assimilation, an imperfect-model observing system simulation experiment is used. Synthetic cloud-top temperature observations from an idealized splitting supercell created using the Weather Research and Forecasting Model are assimilated along with synthetic radar reflectivity and radial velocity using an ensemble Kalman filter. Observations are assimilated every 5 min for 2.5 h with additive noise used to maintain ensemble spread. Four experiments are conducted to explore the relative value of cloud-top temperature and radar observations. One experiment only assimilates satellite data, another only assimilates radar data, and two more experiments assimilate both radar and satellite observations, but with the observation types assimilated in different order. Results show a rather weak correlation between cloud-top temperature and horizontal winds, whereas larger correlations are found between cloud-top temperature and microphysics variables. However, the assimilation of cloud-top temperature data alone produces a supercell storm in the ensemble, although the resulting ensemble has much larger spread compared to the ensembles of radar inclusive experiments. The addition of radar observations greatly improves the storm structure and reduces the overprediction of storm extent. Results further show that assimilating cloud-top temperature observations in addition to radar data does not lead to an improved forecast. However, assimilating cloud-top temperature can produce reasonable forecasts for areas lacking radar coverage.
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Fujita, Tadashi, David J. Stensrud i David C. Dowell. "Using Precipitation Observations in a Mesoscale Short-Range Ensemble Analysis and Forecasting System". Weather and Forecasting 23, nr 3 (1.06.2008): 357–72. http://dx.doi.org/10.1175/2007waf2006108.1.
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Abstract A simple method to assimilate precipitation data from a synthesis of radar and gauge data is developed to operate alongside an ensemble Kalman filter that assimilates hourly surface observations. The mesoscale ensemble forecast system consists of 25 members with 30-km grid spacing and incorporates variability in both initial and boundary conditions and model physical process schemes. The precipitation assimilation method only incorporates information on when and where rainfall is observed. Model temperature and water vapor mixing ratio profiles at each grid point are modified if rainfall is observed but not predicted, or if rainfall is predicted but not observed. These modifications act to either increase or decrease, respectively, the likelihood that precipitation develops at that grid point. Two cases are examined in which this technique is applied to assimilate precipitation data every 15 min from 1200 to 1800 UTC, while hourly surface observations are also assimilated at the same time using the more sophisticated ensemble Kalman filter approach. Results show that the simple method for assimilating precipitation data helps the model develop precipitation where it is observed, resulting in the precipitation area being reproduced more accurately than in the run without precipitation-data assimilation, while not negatively influencing the positive results from the surface data assimilation. Improvement is also seen in the reliability of precipitation probabilities for a 1 mm h−1 threshold after the assimilation period, indicating that assimilating precipitation data may provide improved forecasts of the mesoscale environment for a few hours.
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. "De assimilatie van onderzoeksresultaten in de praktijk". Medisch-Farmaceutische Mededelingen 41, nr 1 (styczeń 2003): 20–21. http://dx.doi.org/10.1007/bf03058078.
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Dumedah, Gift, Aaron A. Berg i Mark Wineberg. "An Integrated Framework for a Joint Assimilation of Brightness Temperature and Soil Moisture Using the Nondominated Sorting Genetic Algorithm II". Journal of Hydrometeorology 12, nr 6 (1.12.2011): 1596–609. http://dx.doi.org/10.1175/jhm-d-10-05029.1.
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Abstract This study has applied the Nondominated Sorting Genetic Algorithm II (NSGA-II) in a two-step assimilation procedure to jointly assimilate brightness temperature into a radiative transfer model and soil moisture into a land surface model. The first assimilation procedure generates a time series of soil moisture by assimilating brightness temperature from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) into the Land Parameter Retrieval Model (LPRM). The second procedure generates assimilated soil moisture by assimilating the soil moisture from LPRM into the Canadian Land Surface Scheme (CLASS). Note that the assimilated soil moisture was generated by merging two soil moisture estimates: one from LPRM and the other from the CLASS simulation. The assimilated soil moisture is better than using the soil moisture determined either from the satellite observation or the land surface scheme alone. This method provides improved model state and parameterizations for both LPRM and CLASS with the aim to facilitate real-time forecasts when satellite information becomes available. Application of this framework to the Brightwater Creek watershed in southern Saskatchewan illustrates the utility of the joint assimilation framework to improve a time series of soil moisture estimates. The estimated soil moisture datasets were evaluated over an agricultural site in southern Saskatchewan using in situ monitoring networks. These results demonstrate that soil moisture generated from assimilation of brightness temperature could be improved by incorporating it into a land surface model. A comparison between the assimilated soil moisture and in situ dataset demonstrates an improvement in accuracy and temporal pattern that is accomplished through the assimilation framework.
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De Lannoy, Gabriëlle J. M., Rolf H. Reichle, Paul R. Houser, Kristi R. Arsenault, Niko E. C. Verhoest i Valentijn R. N. Pauwels. "Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model". Journal of Hydrometeorology 11, nr 2 (1.04.2010): 352–69. http://dx.doi.org/10.1175/2009jhm1192.1.
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Abstract Four methods based on the ensemble Kalman filter (EnKF) are tested to assimilate coarse-scale (25 km) snow water equivalent (SWE) observations (typical of passive microwave satellite retrievals) into finescale (1 km) land model simulations. Synthetic coarse-scale observations are assimilated directly using an observation operator for mapping between the coarse and fine scales or, alternatively, after disaggregation (regridding) to the finescale model resolution prior to data assimilation. In either case, observations are assimilated either simultaneously or independently for each location. Results indicate that assimilating disaggregated finescale observations independently (method 1D-F1) is less efficient than assimilating a collection of neighboring disaggregated observations (method 3D-Fm). Direct assimilation of coarse-scale observations is superior to a priori disaggregation. Independent assimilation of individual coarse-scale observations (method 3D-C1) can bring the overall mean analyzed field close to the truth, but does not necessarily improve estimates of the finescale structure. There is a clear benefit to simultaneously assimilating multiple coarse-scale observations (method 3D-Cm) even as the entire domain is observed, indicating that underlying spatial error correlations can be exploited to improve SWE estimates. Method 3D-Cm avoids artificial transitions at the coarse observation pixel boundaries and can reduce the RMSE by 60% when compared to the open loop in this study.
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Kawabata, Takuya, Tohru Kuroda, Hiromu Seko i Kazuo Saito. "A Cloud-Resolving 4DVAR Assimilation Experiment for a Local Heavy Rainfall Event in the Tokyo Metropolitan Area". Monthly Weather Review 139, nr 6 (1.06.2011): 1911–31. http://dx.doi.org/10.1175/2011mwr3428.1.
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Abstract A cloud-resolving nonhydrostatic four-dimensional variational data assimilation system (NHM-4DVAR) was modified to directly assimilate radar reflectivity and applied to a data assimilation experiment using actual observations of a heavy rainfall event. Modifications included development of an adjoint model of the warm rain process, extension of control variables, and development of an observation operator for radar reflectivity. The responses of the modified NHM-4DVAR were confirmed by single-observation assimilation experiments for an isolated deep convection, using pseudo-observations of rainwater at the initial and end times of the data assimilation window. The results showed that the intensity of convection could be adjusted by assimilating appropriate observations of rainwater near the convection and that undesirable convection could be suppressed by assimilating small or no reflectivity. An assimilation experiment using actual observations of a local heavy rainfall in the Tokyo, Japan, metropolitan area was conducted with a horizontal resolution of 2 km. Precipitable water vapor derived from global positioning system data was assimilated at 5-min intervals within 30-min assimilation windows, and surface and wind profiler data were assimilated at 10-min intervals. Doppler radial wind and radar-reflectivity data below the elevation angle of 5.4° were assimilated at 1-min intervals. The 4DVAR assimilation reproduced a line-shaped rainband with a shape and intensity consistent with the observation. Assimilation of radar-reflectivity data intensified the rainband and suppressed false convection. The simulated rainband lasted for 1 h in the extended forecast and then gradually decayed. Sustaining the low-level convergence produced by northerly winds in the western part of the rainband was key to prolonging the predictability of the convective system.
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Santana, Rafael, Helen Macdonald, Joanne O'Callaghan, Brian Powell, Sarah Wakes i Sutara H. Suanda. "Data assimilation sensitivity experiments in the East Auckland Current system using 4D-Var". Geoscientific Model Development 16, nr 13 (6.07.2023): 3675–98. http://dx.doi.org/10.5194/gmd-16-3675-2023.
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Abstract. This study analyses data assimilative numerical simulations in an eddy-dominated western boundary current: the East Auckland Current (EAuC). The goal is to assess the impact of assimilating surface and subsurface data into a model of the EAuC via running observing system experiments (OSEs). We used the Regional Ocean Modeling System (ROMS) in conjunction with the 4-dimensional variational (4D-Var) data assimilation scheme to incorporate sea surface height (SSH) and temperature (SST), as well as subsurface temperature, salinity and velocity from three moorings located at the upper, mid and lower continental slope using a 7 d assimilation window. Assimilation of surface fields (SSH and SST) reduced SSH root mean square deviation (RMSD) by 25 % in relation to the non-assimilative (NoDA) run. The inclusion of velocity subsurface data further reduced SSH RMSD up- and downstream the moorings by 18 %–25 %. By improving the representation of the mesoscale eddy field, data assimilation increased complex correlation between modelled and observed velocity in all experiments by at least three times. However, the inclusion of temperature and salinity slightly decreased the velocity complex correlation. The assimilative experiments reduced the SST RMSD by 36 % in comparison to the NoDA run. The lack of subsurface temperature for assimilation led to larger RMSD (>1 ∘C) around 100 m in relation to the NoDA run. Comparisons to independent Argo data also showed larger errors at 100 m in experiments that did not assimilate subsurface temperature data. Withholding subsurface temperature forces near-surface average negative temperature increments to the initial conditions that are corrected by increased net heat flux at the surface, but this had limited or no effect on water temperature at 100 m depth. Assimilation of mooring temperature generates mean positive increments to the initial conditions that reduces 100 m water temperature RMSD. In addition, negative heat flux and positive wind stress curl were generated near the moorings in experiments that assimilated subsurface temperature data. Positive wind stress curl generates convergence and downwelling that can correct interior temperature but might also be responsible for decreased velocity correlations. The few moored CTDs (eight) had little impact in correcting salinity in comparison to independent Argo data. However, using doubled decorrelation length scales of tracers and a 2 d assimilation window improved model salinity and temperature in comparison to Argo profiles throughout the domain. This assimilation configuration, however, led to large errors when subsurface temperature data were not assimilated due to incorrect increments to the subsurface. As all reanalyses show improved model-observation skill relative to HYCOM–NCODA (the model boundary conditions), these results highlight the benefit of numerical downscaling to a regional model of the EAuC.
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Cao, Yujie, Bingying Shi, Xinyu Zhao, Ting Yang i Jinzhong Min. "Direct Assimilation of Ground-Based Microwave Radiometer Clear-Sky Radiance Data and Its Impact on the Forecast of Heavy Rainfall". Remote Sensing 15, nr 17 (1.09.2023): 4314. http://dx.doi.org/10.3390/rs15174314.
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Ground-based microwave radiometer (GMWR) data with high spatial and temporal resolution can improve the accuracy of weather forecasts when effectively assimilated into numerical weather prediction. Nowadays, the major method to assimilate these data is via indirect assimilation by assimilating the retrieved profiles, which introduces large retrieval errors and cannot easily be represented by an error covariance matrix. Direct assimilation, on the other hand, can avoid this issue. In this study, the ground-based version of the Radiative Transfer for the TIROS Operational Vertical Sounder (RTTOV-gb) was selected as the observation operator, and a direct assimilation module for GMWR radiance data was established in the Weather Research and Forecasting Model Data Assimilation (WRFDA). Then, this direct assimilation module was applied to assimilate GMWR data. The results were compared to the indirect assimilation experiment and demonstrated that direct assimilation can more effectively improve the model’s initial fields in terms of temperature and humidity than indirect assimilation while avoiding the influence of retrieval errors. In addition, direct assimilation performed better in the precipitation forecast than indirect assimilation, making the main precipitation center closer to the observation. In particular, the improvement in the precipitation forecast with a threshold of 60 mm/6 h was obvious, and the corresponding TS score was significantly enhanced.
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Peytavin, Axel, Bruno Sainte-Rose, Gael Forget i Jean-Michel Campin. "Ocean Plastic Assimilator v0.2: assimilation of plastic concentration data into Lagrangian dispersion models". Geoscientific Model Development 14, nr 7 (30.07.2021): 4769–80. http://dx.doi.org/10.5194/gmd-14-4769-2021.
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Abstract. A numerical scheme to perform data assimilation of concentration measurements in Lagrangian models is presented, along with its first implementation called Ocean Plastic Assimilator, which aims to improve predictions of the distributions of plastics over the oceans. This scheme uses an ensemble method over a set of particle dispersion simulations. At each step, concentration observations are assimilated across the ensemble members by switching back and forth between Eulerian and Lagrangian representations. We design two experiments to assess the scheme efficacy and efficiency when assimilating simulated data in a simple double-gyre model. Analysis convergence is observed with higher accuracy when lowering observation variance or using a circulation model closer to the real circulation. Results show that the distribution of the mass of plastics in an area can effectively be improved with this simple assimilation scheme. Direct application to a real ocean dispersion model of the Great Pacific Garbage Patch is presented with simulated observations, which gives similarly encouraging results. Thus, this method is considered a suitable candidate for creating a tool to assimilate plastic concentration observations in real-world applications to estimate and forecast plastic distributions in the oceans. Finally, several improvements that could further enhance the method efficiency are identified.
Rozprawy doktorskie na temat "Assimilatie"
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Jansen, Hiske Yolande Mariëlle. "Stuck in a revolving door secularism, assimilation and democratic pluralism /". [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2006. http://dare.uva.nl/document/90694.
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Le, Andrew Nguyen. "Assimilating through social networks? The importance of networks in assimilation trajectories". Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42483.
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The assimilation outcomes of second generation youths have been hotly debated amongst scholars (Alba et al. 2011, Haller et al. 2011). While the outcomes are contested, it is undeniable that ethnic organizations play a central role in the second generation’s assimilation trajectory. Zhou and Bankston (1998) suggest that participating in ethnic religious institutions promotes upward assimilation through instilling an ethnic identity onto youths. My research on the greater Seattle area Vietnamese Buddhist youth organizations uncovered similar mechanisms that led to Zhou and Bankston’s overall quantitative findings, but also uncover the importance of resource brokering and networks. Based on 43 in-depth interviews, I find that organization participation promotes upward and downward assimilation, and the friendships formed inside ethnic organizations play a crucial role in assimilation outcomes. My project shows that participation in Buddhist youth groups instills a Vietnamese-American identity on youths and, in turn, this ethnic identity can lead to upward assimilation only if the individual is part of a peer network that promotes normative values. Downward assimilation can be associated with youth group participation if the youths enter peer networks that promote deviant behaviors. These deviant peer networks can supersede the positive effects of the youth organization’s overall influence on the individual.
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Walker, Daryl B. "Project engage - the ministry of assimilation training church leaders to lead the church to assimilate prospects and new members /". Theological Research Exchange Network (TREN), 1996. http://www.tren.com.
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Mizzi, Arthur P., Jr Avelino F. Arellano, David P. Edwards, Jeffrey L. Anderson i Gabriele G. Pfister. "Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system". COPERNICUS GESELLSCHAFT MBH, 2016. http://hdl.handle.net/10150/616998.
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This paper introduces the Weather Research and Forecasting Model with chemistry/Data Assimilation Research Testbed (WRF-Chem/DART) chemical transport forecasting/data assimilation system together with the assimilation of compact phase space retrievals of satellite-derived atmospheric composition products. WRF-Chem is a state-of-the-art chemical transport model. DART is a flexible software environment for researching ensemble data assimilation with different assimilation and forecast model options. DART's primary assimilation tool is the ensemble adjustment Kalman filter. WRF-Chem/DART is applied to the assimilation of Terra/Measurement of Pollution in the Troposphere (MOPITT) carbon monoxide (CO) trace gas retrieval profiles. Those CO observations are first assimilated as quasi-optimal retrievals (QORs). Our results show that assimilation of the CO retrievals (i) reduced WRF-Chem's CO bias in retrieval and state space, and (ii) improved the CO forecast skill by reducing the Root Mean Square Error (RMSE) and increasing the Coefficient of Determination (R2). Those CO forecast improvements were significant at the 95 % level.Trace gas retrieval data sets contain (i) large amounts of data with limited information content per observation, (ii) error covariance cross-correlations, and (iii) contributions from the retrieval prior profile that should be removed before assimilation. Those characteristics present challenges to the assimilation of retrievals. This paper addresses those challenges by introducing the assimilation of compact phase space retrievals (CPSRs). CPSRs are obtained by preprocessing retrieval data sets with an algorithm that (i) compresses the retrieval data, (ii) diagonalizes the error covariance, and (iii) removes the retrieval prior profile contribution. Most modern ensemble assimilation algorithms can efficiently assimilate CPSRs. Our results show that assimilation of MOPITT CO CPSRs reduced the number of observations (and assimilation computation costs) by ∼ 35 %, while providing CO forecast improvements comparable to or better than with the assimilation of MOPITT CO QORs.
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Peubey, Carole. "Assimilation of ENVISAT data in an advanced data assimilation system". Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485367.
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i~to a stratosphere-troposphere version of the Met Office assimilation system, producing one of the first analyses to reproduce the September 2002 split of the Antarctic polar vortex. The aim of the project was to investigate the benefit of assimilating MIPAS retrievals and to assess the Met Office 3D-Var assimilation system by examining its different components. The ozone analysis was found to agree with independent ozone observations through most of the middle and upper stratosphere, biases above 60 hPa being within the range -20% to +10% and typically smaller. More significant positive biases were found in the lower stratosphere and inside the polar vortex. Although ozone amounts are shown to be slightly overestimated by MIPAS retrievals in these same regions, these biases are demonstrated to be caused by shortcomings in the model chemistry and transport. MIPAS data have been shown to have a limited impact on the Met Office temperature analysis, although a ' positive effect was identified at the mesopause. It is shown that MIPAScould bring larger benefits if more realistic background error statistics were used for ozone, especially in the lower stratosphere. Based on an evaluation of these statistics using independent datasets, it is suggested that background error variances should be decreased near the ozone maximum and increased below 70 hPa It is also recommended to introduce latitudedependence in vertical error correlations and height-dependence in horizontal error correlations. Improvements are also proposed to improve the ozone assimilation in the polar vortex region. Finally, analysed winds have been found to induce errOneous transport of ozone by increasing vertical diffusion of ozone and enhancing the mean zonal circulations. This especially affects the tropics, where ozone analyses reveal excessive exchanges of air parcels between the stratosphere and the troposphere.
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Pollock, Edwina Jane Education Faculty of Arts & Social Sciences UNSW. "Assimilating complex information". Awarded by:University of New South Wales. School of Education, 2000. http://handle.unsw.edu.au/1959.4/17813.
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Methods of instruction which are intended to facilitate understanding tend to incorporate all of the elements required for understanding in the instructions. Frequently, these types of instructions may overwhelm a learner???s limited working memory and hinder learning. The five experiments reported in this thesis were generated by cognitive load theory. Cognitive load theory is based on the assumption that features of human cognitive architecture have important implications for how we learn and understand. The experiments examined an alternative approach to instructional design which had the goal of promoting schema construction in order to foster understanding. A two phase, isolated-interacting elements learning approach was developed which, in the first phase, artificially reduced the element interactivity of complex material by presenting the material as isolated elements of information that could be processed serially, rather than simultaneously, in working memory. In the second phase of instruction, all the information for understanding was presented. The control group???s instruction was a more conventional approach to promoting understanding where all the information for understanding was presented in both Phase 1 and 2. Although a possible consequence of artificially reducing the element interactivity of material may be an initial decrease in a student???s capacity for understanding, it was hypothesised that over the longer term it would lead to an increase in learners??? understanding. The results reported in this thesis provide powerful evidence that for certain groups of learners, information is better learnt through the isolated-interacting elements instructional method. Evidence is also provided in support of the proposal that schema construction is the mechanism underlying the success of the isolated-interacting elements instructional method. Experiments 1 and 3 demonstrated that when novice students are required to learn complex information, the isolated-interacting elements method of instruction was superior to the control method. In contrast, no evidence was found in Experiments 2 and 4 to suggest a difference between these instructional techniques. These contrasting results can be explained by the different levels of domain knowledge possessed by the participants of each experiment. The results of Experiment 5 were similar to those of Experiments 1 and 3, namely that students performed superiorly if they had studied the isolated elements followed by interacting elements instruction. These results provide significant theoretical support for the claim that expertise is the key factor implicated in the beneficial effects associated with the isolated-interacting elements instructional technique since the participants in Experiment 5 had previously participated in Experiments 2 and 4. The difference in the outcomes of these experiments can be explained by the level of domain specific knowledge the participants of Experiment 5 had in each of the knowledge domains tested by the various experiments.
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Wu, Jane C. 1977. "Assimilating hybridized architecture". Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/30236.
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Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture, 2005.Includes bibliographical references (p. 106-107).
The thesis searches for means of operation to deal with hybridized architecture. As a conceptual framework, sociology theory appears to be an insightful precedent, for it analyzes and classifies how multiple constituents join together. Sociologist Milton Gordon delineates three assimilation processes; these include Anglo Conformity, Cultural Pluralism, and Melting Pot. From these theories, it is suspected that the Melting Pot model has the most potential for generating unconventional program usage while being the most challenging model in reconciling pre-determined functions. The thesis uses the Melting Pot model as a means of operation to push the limits of assimilating hybridized architecture. Anglo Conformity is when an individual gives up his/her attribute to fit into the larger context. It can be represented as A + B + C = A, assuming A is the majority. Cultural Pluralism also known as the "salad bowl," is when different individuals keep their own qualities while sharing common interests. A + B + C = A + B + C. Melting Pot is when different individuals merge together by absorbing and contributing each individual's quality; out of this interaction comes a new entity.
Jane C. Wu.
M.Arch.
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Barillec, Remi Louis. "Bayesian data assimilation". Thesis, Aston University, 2008. http://publications.aston.ac.uk/15276/.
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This thesis addresses data assimilation, which typically refers to the estimation of the state of a physical system given a model and observations, and its application to short-term precipitation forecasting. A general introduction to data assimilation is given, both from a deterministic and stochastic point of view. Data assimilation algorithms are reviewed, in the static case (when no dynamics are involved), then in the dynamic case. A double experiment on two non-linear models, the Lorenz 63 and the Lorenz 96 models, is run and the comparative performance of the methods is discussed in terms of quality of the assimilation, robustness in the non-linear regime and computational time.
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Ali, A. H. "Nitrate assimilation in yeasts". Thesis, Swansea University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635757.
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Torres, Javier. "Essays on immigrant assimilation". Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44777.
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This dissertation examines immigrants (to Canada) assimilation problems from a perspective of imperfect human capital transferability. Chapter 2 discusses how much of the immigrant wage gap can be explained by the undervaluation of foreign human capital (education and work experience). The identification of the human capital source (using information available in the 2006 Canadian census) can explain up to 70% of the native-immigrant wage gap. The foreign-born dummy coefficient goes from around -11% to close
to -3%. Education acquired in Asia tends to be valued less than education from South America, Africa and East Europe; which in turn is less valued than education from Oceania, the U.S. and the rest of continental Europe. Studying in the UK consistently appears more beneficial than studying in Canada. When incorporating country of origin fixed effects, the different specifications visibly reduce the heterogeneity of country coefficients. The reduction is sizeable for Pakistan, India, China and the Philippines; though their coefficients remain negative. A smaller reduction for Europe, South-East Asia, Hong Kong and the US drives their coefficients close to zero. The UK country of origin dummy has the only persistently positive coefficient. Chapter 3 describes the occupational assimilation process of 2000-2001 immigrants in their first four years. The results show that those with high levels of education experience a more significant decline in their first occupation. Education, though, has a positive and significant effect on occupational improvement; which reduces the size and significance of the negative effect of education on the second occupational gap. It, however, does not change its sign. The same pattern is observed when analyzing occupational gaps through time. Chapter 4 focuses on immigrants' English proficiency improvement. Overall, immigrants show relatively small improvements in language proficiency in the first four years in Canada. Still, those arriving under the family immigrant category with an intermediate or advanced level are less likely to improve and more likely to decrease their English proficiency. Human capital variables (age and education) are also consistently relevant for English proficiency improvement.
Książki na temat "Assimilatie"
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Molier, Gelijn, i G. R. Rutgers. Het multiculturele debat: Integratie of assimilatie? Den Haag: Boom Juridische Uitgevers, 2004.
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J, Kelly P., red. Multiculturalism reconsidered: 'Culture and equality' and its critics. Cambridge, UK: Polity Press, 2002.
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de, Bok René, red. Meningen over medelanders: 'integratie of assimilatie'? : uit de Nederlandse en Belgische pers. Weert: M & P, 1992.
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Bauduin, Pierre. La première Normandie (Xe-XIe siècles): Sur les frontières de la haute Normandie : identité et construction d'une principauté. [Normandy]: Pôle universitaire normand, 2004.
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Janse, C. S. L. Bewaar het pand: De spanning tussen assimilatie en persistentie bij de emancipatie van de bevindelijk gereformeerden. Wyd. 2. Houten: Den Hertog, 1985.
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Klingenstein, Susanne. Jews in the American academy, 1900-1940: The dynamics of intellectual assimilation. Syracuse, NY: Syracuse University Press, 1998.
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Klingenstein, Susanne. Jews in the American academy, 1900-1940: The dynamics of intellectual assimilation. New Haven: Yale University Press, 1991.
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Wildavsky, Aaron B. Assimilation versus separation: Joseph the Administrator and the politics of religion in biblical Israel. New Brunswick, U.S.A: Transaction Publishers, 1993.
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A, Brah, i Coombes Annie E, red. Hybridity and its discontents: Politics, science, culture. London: Routledge, 2000.
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Rifaat, Cherif. Immigrants adapt, countries adopt-- or not: Fitting into the cultural mosaic. Montreal: New Canadians Press, 2004.
Znajdź pełny tekst źródłaCzęści książek na temat "Assimilatie"
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Peretó, Juli. "Assimilative Metabolism". W Encyclopedia of Astrobiology, 102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11274-4_115.
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Peretó, Juli. "Assimilative Metabolism". W Encyclopedia of Astrobiology, 177. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44185-5_115.
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Peretó, Juli. "Assimilative Metabolism". W Encyclopedia of Astrobiology, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27833-4_115-2.
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Peretó, Juli. "Assimilative Metabolism". W Encyclopedia of Astrobiology, 221–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-65093-6_115.
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"Het vraagstuk van koloniaal bestuur Assimilatie of associatie, 1889". W Koloniale inspiratie, 74–78. BRILL, 2004. http://dx.doi.org/10.1163/9789004489172_013.
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Pilbeam, D. J., i E. A. Kirkby. "Some aspects of the utilization of nitrate and ammonium by plants". W Nitrogen Metabolism of Plants, 55–70. Oxford University PressOxford, 1992. http://dx.doi.org/10.1093/oso/9780198577522.003.0005.
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Abstract The two major forms of nitrogen taken up by plants are nitrate and ammonium ions. In most soils nitrate is the more abundant of these ions, although in acid soils ammonium predominates because nitrification is largely inhibited. Most plants, except those adapted to acid conditions, grow better when supplied with nitrate. Although nitrate is usually the preferred nitrogen source for plant growth, the uptake and assimilation of this ion appear to be metabolically more expensive than the uptake and assimilation of ammonium, not least because the nitrate ion is reduced to ammonium after uptake. Raven (1985) has estimated that the metabolic cost to a plant assimilating ammonium is 296 photons per mol nitrogen assimilated, compared with the cheapest way in which nitrate can be assimilated, which is 305 photons per mol nitrogen.
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Kedhar, Anusha. "Assimilation". W Flexible Bodies, 71–115. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190840136.003.0002.
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Chapter 2 theorizes the flexibility of, specifically, male British South Asian dancers in relation to debates about assimilation and citizenship that (re-)emerged in the wake of the July 7, 2005, terrorist attacks in London. In neoliberalism, assimilation is required to participate in globalized capitalist markets; otherness must either be integrated or eliminated. The 7/7 bombings, carried out by four British citizens, called into question the allegiance of Britain’s South Asian/Muslim communities, which led to hotly contested debates about the perceived failures of multiculturalism to assimilate Britain’s “Others.” The bombings ossified stereotypes of the British Asian/Muslim man as “rigid” and “inflexible” (in beliefs and ideologies), unable or unwilling to assimilate. Analyzing works by three choreographers, zero degrees (2005) and Abide with Me (2012) by Akram Khan, Faultline (2007) by Shobana Jeyasingh, and Quick! (2006) by Nina Rajarani, this chapter examines how British South Asian choreographers countered popular (mis)conceptions of British Asian/Muslim men as rigid and inflexible in the post-7/7 national imaginary by staging more fluid, flexible, and, thus, more assimilable British Asian masculinities. It also foregrounds the onstage and offstage experiences of some of the male dancers in these works and how they navigated increased surveillance, racism, and restrictions on movement in the aftermath of the bombings.
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Yaghoobi, Claudia. "Maintaining Heritage and Assimilation". W Transnational Culture in the Iranian Armenian Diaspora, 66–97. Edinburgh University Press, 2023. http://dx.doi.org/10.3366/edinburgh/9781399512374.003.0004.
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Chapter Two explores the Iranian Armenian community’s struggles to maintain ties with their heritage, all the while they resist assimilation to the host nation’s culture. Within these culturalproductions, representations of Armenians who often adopted subordinate social profiles as they were pushed to the margins predominate. This positioning resulted in a cultural practice of destabilising identity categories, embodying the values and practices of multiple identities and forging multiple, overlapping national and historically influenced identities. To explore the ways in which Armenians resisted assimilation or rather assimilated in Iran and in the US, this chapter provides the most important theories of assimilation and examine the Armenian community’s responses to each one of those theoretical perspectives.
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Reed, S. Alexander. "Introduction". W Assimilate, 3–18. Oxford University Press, 2013. http://dx.doi.org/10.1093/acprof:osobl/9780199832583.003.0001.
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Reed, S. Alexander. "Italian Futurism". W Assimilate, 21–25. Oxford University Press, 2013. http://dx.doi.org/10.1093/acprof:osobl/9780199832583.003.0002.
Pełny tekst źródłaStreszczenia konferencji na temat "Assimilatie"
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Groves, Neha, Ashwanth Srinivasan, Leonid Ivanov, Jill Storie, Drew Gustafson i Rafael Ramos. "MACRO-GOM: Long Term Multi-Resolution Ocean Current Reanalysis Dataset for the Gulf of Mexico". W Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31152-ms.
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Abstract The Gulf of Mexico's unique circulation characteristics pose a particular threat to marine operations and play a significant role in driving the criteria used for design and life extension analyses of offshore infrastructure. Estimates from existing reanalysis datasets used by operators in GOM show less than ideal correlation with in situ measurements and have a limited resolution that disallows for the capture of ocean features of interest. In this paper, we introduce a new high-resolution long-term reanalysis dataset, Multi-resolution Advanced Current Reanalysis for the Ocean – Gulf of Mexico (MACRO-GOM), based on a state-of the-science hydrodynamic model configured specifically for ocean current forecasting and hindcasting services for the offshore industry that assimilates extensive non-conventional observational data. The underlying hydrodynamic model used is the Woods Hole Group – Tendral Ocean Prediction System (WHG-TOPS). MACRO-GOM is being developed at the native resolution of the TOPS-GOM domain, i.e. 1/32° (~3 km) hourly grid for the 1994-2019 time period (25 years). A 3-level downscaling methodology is used wherein observation based estimates are first dynamically interpolated using a 1/4° model before being downscaled to the 1/16° Inter-American Seas (IAS) domain, which in turn is used to generate time-consistent boundary conditions for the 1/32° reanalysis. A multiscale data assimilation technique is used to constrain the model at synoptic and longer time scales. For this paper, a shorter, 5-year reanalysis run was conducted for the 2015-2019 time period for verification against assimilated and unassimilated observations, WHG's proprietary frontal analyses, and other reanalyses. Both the frontal analyses and Notice to Lesses (NTL) rig mounted ADCP data was withheld from assimilation for comparison. Offshore operations in the GOM can benefit from an improved reanalysis dataset capable of assimilating existing non-conventional observational datasets. Existing hindcast and reanalysis model datasets are limited in their ability to comprehensively and reliably quantify the 3D circulation and kinematic properties of the main features partly because of limited assimilation of observational data. MACRO-GOM incorporates all the advantages of available HYCOM-based reanalyses and further enhances the resolution, accuracy, and reliability by the assimilation of over three decades of WHG's proprietary datasets and frontal analyses for continuous model correction and ground-truthing. The final 25-year high resolution dataset will provide highly reliable design and operational criteria for new and existing infrastructure in GOM.
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Xu, Mei, Biao Yuan, Liangyu Wang i Lijun Zhang. "Data Assimilation for Fukushima Nuclear Accident Assessments". W 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66102.
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In order to investigate the feasibility of data assimilation in a real nuclear accident environment, measurements of Fukushima nuclear accident were considered. The data assimilation system was constructed by using the Lagrangian puff model as the radioactive material diffusion model, and 86 group real dose rate data from the accident as the observations, and the Ensemble Kalman Filter algorithm as the assimilation algorithm. The experimental results show that the assimilated nuclear accident radiation field is in good agreement with the actual measurements, the land contaminated areas are concentrated in the northwest of the nuclear power plant. With the increase of the real measurements, the error of the radiation field decreases with time. Compared with the results with no assimilation, the uncertainty of assimilated dose rate was reduced more than 80%. Through the data assimilation, the whole error of the radiation field is about 30%. The utilization of the real measurements can reduce the uncertainty of the model prediction.
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Ménard, Richard, Peter M. Lyster, Lang-Ping Chang i Stephen E. Cohn. "Assimilation of constituent observations in the stratosphere". W Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/orsa.1997.owb.1.
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In recent years considerable research efforts have been made in data assimilation methods, developed originally for numerical weather prediction, directed now towards more general classes of Earth science problems. Towards these kinds of goals, and in particular to assimilate EOS data, the Data Assimilation Office (DAO) of NASA/Goddard Space Flight Center was founded about five years ago. Data assimilation can be thought of as a generalized inversion problem that uses a dynamical model (e.g. a GCM) and measurements to form a global, time-evolving analysis, or state estimate of the Earth system. Many of these algorithms proceed sequentially in time by continuously updating the state of an Earth system model with new measurements. The resulting analyses are supposed to be not only temporally and spatially consistent, but dynamically, radiatively and chemically balanced as well.
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Sakamoto, Nobuaki. "Parameter Estimation for 1-eq./2-eq Turbulence Models by EnKF Data Assimilation: Twin Experiment With 2D Flat Plate". W ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-101237.
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Abstract Representative turbulence models typically used for viscous flow computation in the field of ship hydrodynamics include Spalart-Allmaras (SA), k-omega, explicit algebraic stress and detached eddy simulation. In these models, several model constants are introduced, yet they have rarely been changed from nominal values. Tuning of these constants to adapt ship flow simulations will be feasible using data assimilation technique together with available measurement data. As a very 1st step for such development, a data assimilation code using an Ensemble Kalman Filter (EnKF) is implemented and integrated to an in-house viscous flow solver for ship hydrodynamics developed at the National Maritime Research Institute. Twin experiments of parameter estimation for SA and k-omega shear stress transport (SST) turbulence models are carried out aiming to confirm fundamental functionality of the developed framework for data assimilation. A simple flow field around a two dimensional flat plate is of the interest. The assimilation results show different trends. When the SA model is adopted and 5 constants are assimilated, all the constants statistically converge to the nominal values within 80 filtering steps using 40 ensemble members. When the k-omega SST model is adopted and 1 to 4 constants are assimilated, two constants (one parameter associated with viscous diffusion term of turbulent kinetic energy, and the other parameter associated with the cross-diffusion term of specific frequency) show difficulty in statistical convergence even after 500 times of filtering with 40 ensemble members.
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Oliveira, Monique Pires Gravina de, i Luiz Henrique Antunes Rodrigues. "Data assimilation in crop models: old experiences in new contexts". W Congresso Brasileiro de Agroinformática. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/sbiagro.2023.26539.
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Data assimilation has been widely used for improvement of crop models’ estimates, for example to incorporate the effects of external events or compensate calibration errors in large areas. There are then many well-established approaches for those who want to take advantage of satellite imagery and reduce uncertainty or model error. However, its use in different contexts requires exploring aspects of the pipeline that are not as well established, such as which variables to assimilate or how to ascribe uncertainty to observations or model estimates. In this study, we assess the impacts of different noise levels for performing data assimilation in a tomato growth model, with artificial observations of fruit and mature fruit biomass.
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Hsu, Tai-Wen, Shan-Hwei Ou, Jian-Ming Liau, Jaw-Guei Lin, Chia-Chuen Kao, Aaron Roland, Ulrich Zanke i Chih-Young Shin. "Application of Data Assimilation for a Spectral Wave Model on Unstructured Meshes". W 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92449.
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The effect of the data assimilation of buoy data in the wind wave model (WWM) for wind wave simulations in both deep and shallow water regions developed by Hsu et al. [2005] is investigated. Following Lionello et al. [1992], the sequential method is implemented, where analyzed wave spectra and significant wave fields were assimilated by optimal interpolation (OI), then the analyzed values were used to reconstruct the wave spectrum. This paper examines the results of the assimilation of wave spectrum, significant wave height and significant wave period in a nearshore WWM model. The WWM model underestimates the wave period because it incorrectly applies past wave field data. The analysis has provided useful indications of the shortcomings of the WWM model. In summary, the OI approach is shown to be a reliable assimilation scheme in the WWM model.
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Rodgers, Clive D. "Retrieval of the Atmospheric State Using Data Assimilation Methods". W Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.tub1.
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To date, retrieval of remotely sounded data from the middle atmosphere has usually been carried out on a profile by profile basis, using climatology or sometimes a previous nearby retrieval as a priori data. For weather forecasting purposes in the troposphere and lower stratosphere, it is possible to use forecast profiles as a priori, and this is sometimes done. Once retrieved, profiles are normally gridded in a relatively simple-minded way for the middle atmosphere studies, or assimilated as profiles in the case of meteorological analysis although recently assimilation has begun to be be used in the middle atmosphere for UARS profile data e.g. by Swinbank and O’Neill (1994) and by others. The topic to be discussed here is the assimilation of radiances from middle atmosphere remote sounders into atmospheric models, as a means of improving the retrieved product. This has been mentioned as a possibility by many authors describing assimilation, but has not been attempted to any great extent. One example in the meteorological analysis case is the assimilation of TOVS radiance by Andersson et al (1994).
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Lu, Yang. "Assimilation among First-Generation Chinese Immigrants in 2010s: Not Adapting, but Assimilating". W 10th International Conference on Humanities, Psychology and Social Sciences. Acavent, 2020. http://dx.doi.org/10.33422/10th.hps.2020.03.69.
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Lu, Qifeng, Xuebao Wu, Peng Zhang, Songyan Gu, Chaohua Dong, Jiandong Gong, Xueshun Shen, Chenli Qi i Gang Ma. "Assimilating FY-3A VASS data into Chinese 3Dvar assimilation system (Grapes 3Dvar)". W 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5418215.
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Golestani, Maziar, i Mostafa Zeinoddini. "Wave Data Assimilation Using Support Vector Regression (SVR) Model and Ensemble Kalman Filter (EnKF)". W ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83873.
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The prediction of wind driven ocean waves is of primary importance for the safety of shipping and off-shore operations, as well as for scientific studies of, e.g., sediment transport and ocean-atmosphere interaction. Traditionally, wave models do not explicitly use the wave observations to estimate the present sea state: the only input to the models is a sequence of wind fields from a meteorological model. However, it is obvious that the model estimate of both the present and the future sea state can be improved if all available knowledge is combined, which can be done by assimilation of the observations into the model. In the present study a new approach for assimilating wave measurements is presented. A soft computing method namely Support Vector Regression (SVR) is used as a surrogate model to simulate wave heights. This model is trained with a data set of wind and wave measurements and is capable of predicting wave characteristics with relatively good quality. In the other hand, swells and short duration storms cannot be well modeled by the SVR model. Therefore assimilating the wave height measurements into the SVR model using an Ensemble Kalman Filter (EnKF) was utilized to ensure better efficiency of the model. A pretty complicated Matlab and Shell scripts were modified in order to establish appropriate data assimilation (DA) system. Using two data sets from NDBC buoys in different geographical zones and performing statistical comparisons showed that the assimilation scheme can reduce the errors in predicting swells, storm peaks and also the storm duration and time. Also it was seen that the combination of SVR model and the EnKF method can be easily used for producing high quality wave forecasts.
Raporty organizacyjne na temat "Assimilatie"
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Rémy, Elisabeth, Romain Escudier i Alexandre Mignot. Access impact of observations. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.8.
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The accuracy of the Copernicus Marine Environment and Monitoring Service (CMEMS) ocean analysis and forecasts highly depend on the availability and quality of observations to be assimilated. In situ observations are complementary to satellite observations that are restricted to the ocean surface. Higher resolution model forecasts are required by users of the CMEMS global and regional ocean analysis and forecasts. To support this with an efficient observational constrain of the model forecast via data assimilation, an increase observation coverage is needed, associated with an improved usage of the available ocean observations. This work exploits the capabilities of operational systems to provide comprehensive information for the evolution of the GOOS. In this report, we analyse the use and the efficiency of the in-situ observations to constrain regional and global Mercator Ocean systems. Physical and biogeochemical variables are considered. The in-situ observations are used either to estimate physical ocean state at global and regional scale via data assimilation or to estimate BGC model parameters. The impact of the physical in situ observations assimilated in open ocean and coastal areas is assessed with numerical data assimilation experiments. The experiments are conducted with the regional 1/36° resolution and global 1/12° resolution systems operated by Mercator Ocean for the Copernicus Marine Service. For the global physical ocean, the focus is on the tropical ocean to better understand how the tropical mooring observations constrain the intraseasonal to daily variability and the complementarity with satellite observations and the deep ocean. The tropical moorings provide unique high frequency observations at different depth, but they are far away from each other, so part of the signal in the observation are decorrelated from one mooring to the others. It is only via an integrated approach, as data assimilation into a dynamical model and complementarity with other observing networks that those observations can efficiently constrain the different scales of variability of the tropical ocean circulation. As the satellite observations brings higher spatial resolution between the tropical moorings but for the ocean surface, we show that the tropical mooring and Argo profile data assimilation constrain the larger scale ocean thermohaline vertical structure (EuroSea D2.2; Gasparin et al., 2023). The representation of the high frequency signals observed at mooring location is also significantly improved in the model analysis compared to a non-assimilative simulation. The ocean below 2000 m depth is still largely under constrained as very few observations exist. Some deep ocean basins, as the Antarctic deep ocean, shows significant trend over the past decade but they are still not accurately monitored. Based on the spread of four deep ocean reanalysis estimates, large uncertainties were estimated in representing local heat and freshwater content in the deep ocean. Additionally, temperature and salinity field comparison with deep Argo observations demonstrates that reanalysis errors in the deep ocean are of the same size as or even stronger than the observed deep ocean signal. OSSE already suggested that the deployment of a global deep Argo array will significantly constrain the deep ocean in reanalysis to be closer to the observations (Gasparin et al., 2020). At regional and coastal scales, the physical ocean circulation is dominated by higher frequency, smaller scale processes than the open ocean which requires different observation strategy to be well monitor. The impact of assimilating high frequency and high-resolution observations provided by gliders on European shelves is analysed with the regional Iberic Biscay and Irish (IBI) system. It was found that repetitive glider sections can efficiently help to constrain the transport of water masses flowing across those sections. BGC ocean models are less mature than physical ocean models and some variable dependencies are still based on empirical functions. In this task, Argo BGC profile observations were used to optimize the parameters of the global CMEMS biogeochemical model, PISCES. A particle filter algorithm was chosen to optimize a 1D configuration of PISCES in the North Atlantic. The optimization of the PISCES 1D model significantly improves the model's ability to reproduce the North Atlantic bloom Recommendations on the in-situ network extensions for real time ocean monitoring are given based on those results, and the one also obtained in the WP2, Task 2.2 where data assimilation experiments but with simulated observations where conducted. Argo extension and the complementarity with satellite altimetry was also extensively studied. (EuroSea Deliverable ; D4.8)
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Cossarini, Gianpiero. Results of the BGC data assimilation. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.10.
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This document presents the results of simulations that include glider profiles assimilation. Simulations are performed with the Marine Copernicus operational biogeochemical model system of the Mediterranean Sea. The deliverable shows that the assimilation of BGC-glider is feasible in the contest of biogeochemical operational systems and that it is built upon the experience of BGC-Argo float data assimilation. Different configuration of the assimilation of glider data have been tested to assess the impact of the physical and biogeochemical glider observations. The deliverable also describes the pre-processing activities of the BGC-glider data to provide qualified observations for the data assimilation and the cross validation of chlorophyll glider data with other sensors (ocean colour and BGC-Argo floats). Results of the simulations show that BGC-glider data assimilation, as already shown for BGC-Argo floats, provides complementary information with respect to Ocean Colour data (which is the only or the most commonly assimilated data in biogeochemical operational systems). Beside their relatively limited horizontal spatial impact, the assimilation of BGC profiles can constrain model simulations for relevant biogeochemical processes in specific periods (summer and transition periods) and layers (surface and subsurface). Results also highlight the importance of the assimilation modelling systems that can efficiently resolve the inconsistencies between chlorophyll observations of different sensors. (EuroSea Deliverable ; D4.10)
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Hernandez-Lasheras, Jaime, Ali Aydogdu i Baptiste Mourre. Intercomparison of glider assimilation in the different analysis and forecasting systems. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.9.
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The present deliverable is a continuation of deliverable D4.21, in which we presented the first steps in the design and preparation of different reanalysis simulations assimilating glider data. We here show the assessment and intercomparison of CMCC MedFS and SOCIB WMOP systems experiments. We have performed, for each system, three different experiments, running a one-year simulation during 2017. We compare a free-run simulation without data assimilation (FREE) and two reanalyses including assimilation: one considering only the generic data sources included in each operational system (NOGLID) and another one adding glider observations to the previous dataset (GLIDER). The models are assessed and inter compared to each other, focusing on the performance to represent the observed 3D structure of the ocean and on their capacity to recreate physical processes, as an anticyclonic eddy structure present in the Balearic sea. Results show how in both systems the use of glider observations can help to further improve the results obtained when using data assimilation, helping to an enhancement of the forecasting capabilities. (EuroSea Deliverable, D4.9)
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Canto, Patricia, red. The “potential” face of absorptive capacity. An empirical investigation for an area of 3 European countries. Universidad de Deusto, 2011. http://dx.doi.org/10.18543/gvfx7541.
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This paper draws on the multi-dimensional characterization of absorptive capacity (AC) to empirically investigate the antecedents and the effects of its “potential” dimension (PAC): i.e., the firm’s capacity of acquiring and assimilating external knowledge, as distinguished from its “realized” transformation and exploitation (RAC). Based on a sample of about 10,500 firms for an area of 3 EU countries (Italy, Germany and Spain) we find that the firm’s reliance on external knowledge in general increases its PAC, and that this effect is magnified by the internal shocks the firm faces. However, both these effects find relevant exceptions when different kinds of external sources are considered, at different kinds of distance from the absorbing firm. Unexpectedly, social integration mechanisms in the firm makes PAC less, rather than more, inductive of innovation outcomes. On the contrary, the human capital of the firm has a positive moderating role on the PAC effects. A possible trade-off in the exploitation of the externally assimilated knowledge is suggested.
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Wang, Chunming, Graham Bailey, George Hajj, Xiaoqing Pi i I. G. Rosen. Global Assimilative Ionospheric Model. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2002. http://dx.doi.org/10.21236/ada626289.
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Wang, Ping, Tsz-Nga Wong i Chong Yip. Mismatch and Assimilation. Cambridge, MA: National Bureau of Economic Research, sierpień 2018. http://dx.doi.org/10.3386/w24960.
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Schunk, Robert W. Assimilation Ionosphere Model. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2002. http://dx.doi.org/10.21236/ada626262.
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Smedstad, Ole M., i Bruce Lunde. HYCOM Consortium for Data Assimilative Modeling. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2004. http://dx.doi.org/10.21236/ada515253.
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Smedstad, Ole M., i Bruce Lunde. HYCOM Consortium for Data Assimilative Modeling. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2002. http://dx.doi.org/10.21236/ada516292.
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Smedstad, Ole M., i Bruce Lunde. HYCOM Consortium for Data Assimilative Modeling. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2002. http://dx.doi.org/10.21236/ada626854.
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