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Registros recuperados: 13 | |
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Majkut, Joseph D.; Sarmiento, J. L.; Rodgers, K. B.. |
Concerted community efforts have been devoted to producing an authoritative climatology of air-sea CO2 fluxes, but identifying decadal trends in CO2 fluxes has proven to be more challenging. The available surface pCO(2) estimates are too sparse to separate long-term trends from decadal and seasonal variability using simple linear models. We introduce Markov Chain Monte Carlo sampling as a novel technique for estimating the historical pCO(2) at the ocean surface. The result is a plausible history of surface pCO(2) based on available measurements and variability inferred from model simulations. Applying the method to a modern database of pCO(2) data, we find that two thirds of the ocean surface is trending toward increasing uptake of CO2, with a mean (year... |
Tipo: Text |
Palavras-chave: Carbon; Assimilation; LDEO2010; Trend. |
Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00290/40156/38724.pdf |
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Gailhard, Isabelle. |
Estuaries are areas which, from their structure, their fonctioning, and their localisation, are subject to significant contribution of nutrients. One of the objectif of the RNO, the French network for coastal water quality monitoring, is to assess the levels and trends of nutrient concentrations in estuaries. A linear model was used in order to describe and to explain the total dissolved nitrogen concentration evolution in the three most important estuaries on the Chanel-Atlantic front (Seine, Loire and Gironde). As a first step, the selection of a reliable data set was performed. Then total dissolved nitrogen evolution schemes in estuary environment were graphically studied, and allowed a resonable choice of covariables. The salinity played a major role... |
Tipo: Text |
Palavras-chave: Nutriments; Estuaire; Loire; Seine; Gironde; Schéma de dilution; Modèle linéaire; Tendance; Nutrients; Estuary; Seine; Loire; Gironde; Dilution schema; Linear mode1; Trend. |
Ano: 2000 |
URL: http://archimer.ifremer.fr/doc/00079/19070/16665.pdf |
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Matsumoto, Haru; Bohnenstiehl, Delwayne R.; Tournadre, Jean; Dziak, Robert P.; Haxel, Joseph H.; Lau, T. -k. A.; Fowler, Matt; Salo, Sigrid A.. |
In late 2007, two massive icebergs, C19a and B15a, drifted into open water and slowly disintegrated in the southernmost Pacific Ocean. Archived acoustic records show that the high-intensity underwater sounds accompanying this breakup increased ocean noise levels at mid-to-equatorial latitudes over a period of ∼1.5 years. More typically, seasonal variations in ocean noise, which are characterized by austral summer-highs and winter-lows, appear to be modulated by the annual cycle of Antarctic iceberg drift and subsequent disintegration. This seasonal pattern is observed in all three Oceans of the Southern Hemisphere. The life cycle of Antarctic icebergs affects not only marine ecosystem but also the sound environment in far-reaching areas and must be... |
Tipo: Text |
Palavras-chave: Antarctica; Iceberg; Ocean noise; Seasonality; Trend. |
Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00205/31613/30035.pdf |
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Silva, Roberta Bessa Veloso; Ferreira, Daniel Furtado; Safadi, Thelma. |
This piece of work was carried out objectifying to adjust the time series models to the series of price indexes for the consumer ( PIC ) of Lavras MG. It aimed at verifying the occurrence of differences in trend as for the period which preceeded, as well as for the one which succeeded the Plano Real, and if there was a simple linear trend along with Plano Real ( 1994-1999 ) as well as if any seasonality occurred. It also objectified to comparing the series of both Lavras and the Federal District. It was verified that there was no trend along the whole series, nor there was any seasonality, notwithstanding the fact that a level change occurred, which was characterized as an intervention, rather than a trend. It was necessary to fit a model featuring an... |
Tipo: Journal Article |
Palavras-chave: Price index to the consumer; Trend; Seasonality; Forecast. |
Ano: 2000 |
URL: http://purl.umn.edu/43355 |
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Yu, Tian; Babcock, Bruce A.. |
Favorable weather conditions for dryland crop production, including a proper amount of heat and rainfall during the growing season, are critical factors determining yield outcomes. Weather conditions however, are randomly distributed across regions and over time, thus influencing the temporal and geographical patterns of measured crop yield. Failure to account for weather factors when estimating crop yield distributions, time trends or productivity gains can lead to spurious conclusions regarding technology improvement, yield risk and skewness of yield. This paper addresses some limitations in the literature that result from not taking into account weather, and proposes an approach to incorporate weather into modeling yield. |
Tipo: Conference Paper or Presentation |
Palavras-chave: Corn yield; Distribution; Trend; Yield risk; Agricultural Finance. |
Ano: 2010 |
URL: http://purl.umn.edu/60908 |
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Registros recuperados: 13 | |
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