Introduction to Observational Datasets
Sentence Examples
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Observational Datasets sentence examples within Large Observational Datasets
Many biomarkers have been suggested using large observational datasets but sample timing is crucial to ensure prognostic relevance.
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This principle is one of several reasons that risk estimates from large observational datasets often accurately match those from large randomized studies and, in the case of epidemiologic questions, may be more accurate [3, 4].
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Observational Datasets sentence examples within Multiple Observational Datasets
Observational Datasets sentence examples within Term Observational Datasets
In addition, more long-term observational datasets are
needed to assess whether drivers of seasonal fungal spore emissions are
similar across continents and biomes.
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Lightning is one of the most important atmospheric phenomena and has wide ranging influence on the Earth System, but few long-term observational datasets of lightning occurrence and distribution are currently freely available.
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Observational Datasets sentence examples within Global Observational Datasets
Meanwhile, multiple global observational datasets of daily precipitation exist, developed using varying techniques and inhomogeneously sampled data in space and time.
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Meanwhile, multiple global observational datasets of daily precipitation exist, developed using varying techniques and inhomogeneously sampled data in space and time.
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Observational Datasets sentence examples within Different Observational Datasets
Observational Datasets sentence examples within Two Observational Datasets
A comparison among two observational datasets and the model output reveal that enhanced SST warming occurred along the Kuroshio and along the coast of China over the continental shelf.
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Here we present this new formalism, demonstrate the method on simulations, before applying the developed formalism to two observational datasets of the Abel-520 cluster.
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Observational Datasets sentence examples within Three Observational Datasets
Results using three observational datasets and a higher spatial and temporal resolution version of ERA5 than previously used confirm previous studies.
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Results The search identified six observational cohort studies and three observational datasets of MT randomized-controlled trial data reporting on IA fibrinolytics with MT as compared with MT alone, including 2797 patients (405 with additional IA fibrinolytics (100 urokinase (uPA), 305 tissue plasminogen activator (tPA)) and 2392 patients without IA fibrinolytics).
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Observational Datasets sentence examples within Resolution Observational Datasets
First, the simulation is evaluated through a basic Eulerian statistical approach via a comparison with selected high spatial and temporal resolution observational datasets.
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In traditional Eulerian grid-based models, small-scale sea ice kinematics represent the most prominent feature of high-resolution simulations, and with rheology models such as viscous–plastic (VP) and Maxwell elasto-brittle (MEB), sea ice models are able to reproduce multi-fractal sea ice deformation and linear kinematic features that are seen in high-resolution observational datasets.
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Observational Datasets sentence examples within Gridded Observational Datasets
Observational Datasets sentence examples within Use Observational Datasets
Here we use observational datasets to validate model-based inferences on the usefulness of thermodynamics theory in reconstructing AMOC variability at low frequency, and further build on this reconstruction to provide prediction of the nearfuture (2019–2022) North Atlantic state.
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Here we use observational datasets to validate model-based
inferences on the usefulness of thermodynamics theory in reconstructing AMOC
variability at low frequency, and further build on this reconstruction to
provide prediction of the near-future (2019–2022) North Atlantic state.
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Observational Datasets sentence examples within Airborne Observational Datasets
Observational Datasets sentence examples within Existing Observational Datasets
We analyse dozens of transitions from deuterated methanol isotopologues coming from various existing observational datasets from the IRAM-PdBI and ALMA sub-mm interferometers to estimate the methanol deuteration surrounding three low-mass protostars on Solar System scales.
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The past and future evolution of ocean temperature and salinity is derived from a climate model by estimating anomalies with respect to the modern day, which are added to a present-day climatology constructed from existing observational datasets.
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Observational Datasets sentence examples within Several Observational Datasets
Here we show, by using several observational datasets which cover the Arctic region and adopting a simple definition of AA, that during the last 40 years the Arctic has been warming almost four times faster than the globe as a whole, which is a higher ratio than generally reported in literature.
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Several observational datasets are used with different hydraulic and geometric conditions to verify and validate the model.
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Observational Datasets sentence examples within Available Observational Datasets
We validated the altitudinally-resolved mass balance with the few available observational datasets, then determined each domain’s equilibrium line altitude, accumulation area ratio, and ablation balance ratio for each period, which identifies the portion of annual ablation that is compensated by accumulation.
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ET partitioning differs notably among sub-Saharan regions and between available observational datasets.
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Observational Datasets sentence examples within Situ Observational Datasets
Observational Datasets sentence examples within Variou Observational Datasets
Sequential data assimilation offers one possibility for resolving this issue: by running the model over a period for which various observational datasets are available and loading observations into the model at the time they were gathered, the model state can be brought into good agreement with the real glacier state at the end of the observational window.
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The results show that the spatial distributions of annual and extreme precipitation are similar for various observational datasets, while there has less agreement in the variance changes of extreme precipitation.
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The parameterization is based on Saharan dust observational datasets from FENNEC and SAMUM campaigns.
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Using eight observational datasets, the performances of two most widely used wave state related parameterizations are examined under various wave conditions.
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Offshore operations in the GOM can benefit from an improved reanalysis dataset capable of assimilating existing non-conventional observational datasets.
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We utilize a case-study approach focused on southwest Oklahoma where in situ observational datasets allows for quantification of stored soil water, surface water, and groundwater.
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Many biomarkers have been suggested using large observational datasets but sample timing is crucial to ensure prognostic relevance.
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This study emphasized the need to acquire large experimental and observational datasets to capture the numerous factor combinations impacting current and next-year cranberry yields at local scale.
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</p><p>Here we use ensembles of state-of-the-art global climate models (the CESM-large ensemble and CMIP6 models) and observational datasets to demonstrate that anthropogenic aerosols have significant impacts on twentieth-century Sahel rainfall multidecadal variability through modifying NASST.
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Within this approach, propensity score matching (PSM) has been empirically proven, with outstanding performances across observational datasets.
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Disentangling the impact of management from other variables affecting colony health is complicated by the diversity of practices used and difficulties handling typically complex and incomplete observational datasets.
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Datasets from Climatic Research Unit (CRU) and Global Precipitation Climatology Centre (GPCC) are used as proxy to observational datasets to examine the capability of 15 CMIP6 models’ and their ensemble in simulating rainfall during 1951–2014.
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A monthly 2001-2020 burned area product derived from satellite observations is used as target variable, and multiple hydrometeorological and vegetation metrics stemming from the ERA5 reanalysis and observational datasets (e.
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Using the current observational datasets like the cosmic microwave background (CMB), baryon acoustic oscillation (BAO), Type Ia Supernovae (SNe Ia) and redshift-space distortions (RSD), we have estimated the mean values of the parameters.
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We calculate correlation coefficients between time-series consisting of 10-day averages, non-overlapping, for related surface climate variables from the WRF simulations and observational datasets.
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Using several long-term (1979-2018) observational datasets, we compared changes in tropical dry season length (DSL) and timing (dry season arrival, DSA, and dry season end, DSE) among three common metrics used to define the dry season: P < P ̅, P < Ep, and P < E.
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Furthermore, the validation is complicated by disagreement between different observational datasets.
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Observational datasets are more inclusive but suffer from confounding.
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Because of the inherent limitations of observational datasets, the Authors could not demonstrate aerosol-induced surface cooling as the major pathway for the early onset of the wet season.
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Because observational datasets like rainfall and streamflow commonly have a non-normal distribution, the method of L-moments was applied to several time series.
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Sequential data assimilation offers one possibility for resolving this issue: by running the model over a period for which various observational datasets are available and loading observations into the model at the time they were gathered, the model state can be brought into good agreement with the real glacier state at the end of the observational window.
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Yet many gaps remain in our understanding of these acute precipitation events, partly due to the lack of accessible and high quality sub-daily observational datasets available to researchers.
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Future
research may be able to use this type of analysis for observational datasets
and other ESMs to identify apparent relationships between biogeochemical
variables (rather than spatiotemporal distributions only) and identify
interactions and colimitations without having to perform (or at least
performing fewer) growth experiments in a lab.
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The results show that the spatial distributions of annual and extreme precipitation are similar for various observational datasets, while there has less agreement in the variance changes of extreme precipitation.
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These changes usually improved the model when compared to other modeled and observational datasets, but the magnitude of the improvements varied by region and time of year.
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As it may often occur in observational datasets, some values in baseline covariates are missing for some patients.
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Meanwhile, multiple global observational datasets of daily precipitation exist, developed using varying techniques and inhomogeneously sampled data in space and time.
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Generic Interfaces for NEMO (InterNEMO) allow for 3 main scopes: 1) to access and discover the CMEMS catalogue, including both model and observational data; 2) to manipulate accessed datasets, including coastal ocean data, to extract relevant physical information to use for setting initial/boundary conditions for a new NEMO-based configurations; 3) to prepare NEMO set of upstream files and to validate NEMO solution by using CMEMS observational datasets.
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CONCLUSION
In observational datasets, we observed a larger survival benefit to CN in patients treated with IO-based regimens versus those treated with TT-based regimens.
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In this study, sea surface salinity (SSS) indexes are derived from reanalysis and observational datasets to distinguish the two types of (Central Pacific (CP) and Eastern Pacific (EP)) El Niño events in the tropical Pacific.
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However, observational datasets based on satellite products, which are suitable to study upwelling systems, cover short periods of time, which does not allow for a robust estimate of long-term variations (i.
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We use 35 high frequency observational datasets, including measurements from the GSSDD (Global Surface Seawater DMS Database), NAAMES (North Atlantic Aerosol and Marine Ecosystem Study), and SCALE (Southern oCean SeAsonaL Experiment), to assess the variability lengthscale of DMS globally, and in all ocean basins at different stages of the seasonal cycle.
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The development of novel climate services is described in the context of new modeling and prediction capability, enhanced understanding of climate variability and change, and improved observational datasets.
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Both observational datasets have been compared neither to the most recent reanalyses nor to the downscaled global climate simulation with respect to North Atlantic winter storms before.
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Here we show a global statistically significant increase of ocean eddy activity using two independent observational datasets of surface mesoscale eddy variability (one estimates surface currents, and the other is derived from sea surface temperature).
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5 scenario simulations of CMIP6 and DAMIP as well as observational datasets.
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Since controlled experiments on the climate system are challenging, international collaboration is imperative to gather the appropriate observational datasets.
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