Sentences with phrase «ocean atmosphere data»

The SST data used here comprise over 80 million observations from the UK Main Marine Data Bank, the United States Comprehensive Ocean Atmosphere Data Set (COADS) and recent information telecommunicated from ships and buoys from the World Weather Watch.

The source data is the International Comprehensive Ocean Atmosphere Data Set (ICOADS), which includes historical records from many sources.

The source data are versions of the International Comprehensive Ocean Atmosphere Data Set (ICOADS), which includes historical records from many sources.

«Observational evidence of decadal change in cloud cover is seen in a 2009 study by Amy Clements and colleagues using surface observation of clouds from the Comprehensive Ocean Atmosphere Data Set (COADS).

Also, you may not be aware that the International Comprehensive Ocean Atmosphere Data Set (ICOADS, www.icoads.gov) ingests all of the marine observations and is used in all reanalyses.

Not exact matches

The BAS would also have had to set up an automated system to collect data on the oceans and atmosphere for worldwide monitoring programmes.

By combining this data with Ridgwell's global climate model, the team deduced the amount of carbon added to the ocean and atmosphere and concluded that volcanic activity during the opening of the North Atlantic was the dominant force behind the PETM.

The model was developed recently by the US government's National Oceanographic and Atmospheric Administration (NOAA) to make use of new sea and wind data collected from instruments moored across the Pacific as part of the international Tropical Ocean / Global Atmosphere (TOGA) research programme.

«While the detection of greening is based on data, the attribution to various drivers is based on models,» said co-author Josep Canadell of the Oceans and Atmosphere Division in the Commonwealth Scientific and Industrial Research Organisation in Canberra, Australia.

The collection of larger than usual amounts of Arctic winter weather data in 2015 was due to two reasons: the Norwegian research vessel Lance was in the Arctic Ocean observing and collecting upper atmosphere meteorological data, and the frequency of observation and data collection was increased at some of the land - based observation stations around the Arctic.

«There is a growing body of data that points to oxygen production and accumulation in the ocean and atmosphere long before the GOE,» said Timothy W. Lyons, a professor of biogeochemistry in the Department of Earth Sciences and the lead author of the comprehensive synthesis of more than a decade's worth of study within and outside his research group.

The quarrel began with a paper by NOAA scientists published 5 June in Science that revised historical atmosphere and ocean temperature data records found to have been poorly calibrated.

Five papers in the Oct. 13 Science describe some of the first data collected by the satellite, which is giving scientists an unprecedented peek into how carbon moves between land, atmosphere and oceans.

Way and his GISS colleagues simulated conditions of a hypothetical early Venus with an atmosphere similar to Earth's, a day as long as Venus» current day, and a shallow ocean consistent with early data from the Pioneer spacecraft.

The researchers used a climate model, a so - called coupled ocean - atmosphere model, which they forced with the observed wind data of the last decades.

In situations where objects enter Earth's atmosphere in more remote locations — over the ocean far from land, for example — satellites may be the only sources of data that could be used to determine an object's orbit.

Scientists are involved in the evaluation of global - scale climate models, regional studies of the coupled atmosphere / ocean / ice systems, regional severe weather detection and prediction, measuring the local and global impact of the aerosols and pollutants, detecting lightning from space and the general development of remotely - sensed data bases.

It is encouraging that the coupled ocean - atmosphere GCMs give similar results to the data analysis, though.

From the gravity data we received from the Voyager flybys in 1986 (Uranus) and 1989 (Neptune), and from watching how the Uranian rings move, it appears that the planets are not simple, three - layer objects, with the densest rock in the center, surrounded by ocean with a hydrogen / helium atmosphere above it all.

Together with shipboard and satellite data, the global network of measuring sites provides further understanding of the ocean - atmosphere system and its influence on global climate and biological productivity.

Marine planktonic ecosystem dynamics, biogeochemical cycling and ocean - atmosphere - land carbon system, ocean acidification, climate change and ocean circulation, satellite ocean color, air - sea gas exchange, numerical modeling, data analysis, and data assimilation

They were helped by various other research groups as part of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS), a worldwide effort to recover weather data from ships» logboData Set (ICOADS), a worldwide effort to recover weather data from ships» logbodata from ships» logbooks.

However, comparison of the global, annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2data) shows a high correlation (r = 0.96) for the period 1955 to 2005.

The 2009 State of the Climate report of the US National Oceanic and Atmospheric Administration (NOAA), released in mid-2010, brings together many different series of data «from the top of the atmosphere to the depths of the ocean».

Linlsey said: «I think the Argo data point to the central gyre regions as key to the ocean - atmosphere heat exchange story.»

I agree the OHC data are incompatible with a predominately internal contribution (although I'm sure Judith would argue those data are too uncertain, though I don't think anyone has argued OHC decreasing over the last half - century, at least not at the ocean basins / depths that communicate with the atmosphere on the relevant timescales).

From what I see from the Global Historical Climatology Network (GHCN) of land temperatures and the Comprehensive Ocean - Atmosphere Data Set (COADS) of SST data, temperatures there were higher around the 1930's than now, and there is not much long term warming trend, except for the past few yeData Set (COADS) of SST data, temperatures there were higher around the 1930's than now, and there is not much long term warming trend, except for the past few yedata, temperatures there were higher around the 1930's than now, and there is not much long term warming trend, except for the past few years.

Further investigation of the variability of Arctic surface temperature and sea ice cover was performed by analyzing data from a coupled ocean — atmosphere model.

Given that the answer to this for atmospheric models is a resounding «NO» (particularly because of sub-grid scale processes which need to be effectively pre-ordained through parameterizations), and given that oceanic circulations have much longer adjustment time scales, yet also have much more intense small scale (gyre) circulations than the atmosphere, my instinct is that we are not even close to being able to trust ocean models without long term validation data.

In short, an objective look at the data is equivocal at best as to the true trend in the tropical Pacific ocean - atmosphere system over the past century.

Even so, revealing and unexpected teleconnections are being discovered; moreover, progress is being made towards model structures and data sets that will allow implementation of coupled atmosphere - ocean - terrestrial models that include key biological - biogeochemical feedbacks.

This is very interesting, not the missing data or that stuff, but the ocean surface temperature looks to be tightly constrained by the specific volume of the atmosphere and the freezing points of water.

As noted in that post, RealClimate defines the Atlantic Multidecadal Oscillation («AMO») as, «A multidecadal (50 - 80 year timescale) pattern of North Atlantic ocean - atmosphere variability whose existence has been argued for based on statistical analyses of observational and proxy climate data, and coupled Atmosphere - Ocean General Circulation Model («AOGCM») simulatocean - atmosphere variability whose existence has been argued for based on statistical analyses of observational and proxy climate data, and coupled Atmosphere - Ocean General Circulation Model («AOGCM») siatmosphere variability whose existence has been argued for based on statistical analyses of observational and proxy climate data, and coupled Atmosphere - Ocean General Circulation Model («AOGCM») siAtmosphere - Ocean General Circulation Model («AOGCM») simulatOcean General Circulation Model («AOGCM») simulations.

Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

«Because the ocean is so variable, we need at least 25 years» worth of data to really see the effect of carbon accumulation in the atmosphere,» she says.

I was so impressed that all I wanted to do (other than figure out how to get in my girlfriend's pants......... now my wife of 48 yrs) was to get a job with NOAA (a relatively new and dynamic agency at the time) and ride that ship all over the world collecting CSTD data to help better understand how the oceans and the atmosphere worked.

The mechanism by which the effect of oceanic variability over time is transferred to the atmosphere involves evaporation, conduction, convection, clouds and rainfall the significance of which has to date been almost entirely ignored due to the absence of the necessary data especially as regards the effect of cloudiness changes on global albedo and thus the amount of solar energy able to enter the oceans.

Six types of instruments aboard Aqua are to scan through the atmosphere down to the surface, gathering the most detailed data ever on water vapor in clouds, ice crystals in the air, evaporation, water in the oceans, icebergs and other sea ice, as well as glaciers and snow pack on land.

It involved a huge amount of data, taken from ocean buoys that take the temperature of the deep sea, along with satellites that measure energy flowing into and out of the atmosphere.

It is a state of the art long - range forecast system using ocean, atmosphere, ice and land data observations to initiate outlooks up to nine months ahead.

Limited validations for the results include comparisons of 1) the PERSIANN - derived diurnal cycle of rainfall at Rondonia, Brazil, with that derived from the Tropical Ocean Global Atmosphere Coupled Oceanï ¿ 1/2 Atmosphere Response Experiment (TOGA COARE) radar data; 2) the PERSIANN diurnal cycle of rainfall over the western Pacific Ocean with that derived from the data of the optical rain gauges mounted on the TOGA - moored buoys; and 3) the monthly accumulations of rainfall samples from the orbital TMI and PR surface rainfall with the accumulations of concurrent PERSIANN estimates.

The cloud data says something quite clearly whether it's cosmic radiation or ocean and atmosphere circulation variability driven top down UV / ozone modulation.

However, comparison of the global, annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2data) shows a high correlation (r = 0.96) for the period 1955 to 2005.

ALL temperature data whether it is in the ocean or the atmosphere is measuring different populations so the error is for a sample size of ONE.

Chami, M., B. Lafrance, B. Fougnie, J. Chowdhary, T. Harmel, and F. Waquet, 2015: OSOAA: A vector radiative transfer model of coupled atmosphere - ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean.

Previous large natural oscillations are important to examine: however, 1) our data isn't as good with regards to external forcings or to historical temperatures, making attribution more difficult, 2) to the extent that we have solar and volcanic data, and paleoclimate temperature records, they are indeed fairly consistent with each other within their respective uncertainties, and 3) most mechanisms of internal variability would have different fingerprints: eg, shifting of warmth from the oceans to the atmosphere (but we see warming in both), or simultaneous warming of the troposphere and stratosphere, or shifts in global temperature associated with major ocean current shifts which for the most part haven't been seen.

Warm water in the tropical Pacific Ocean warmed up the atmosphere and drove record high temperatures (see 1998 in the satellite temperature data below).

These data indicate that the ocean is probably warming along with the atmosphere.

These pieces of empirical data are then used to support mathematical models that correlate CO2 increases to increasing heating of the atmosphere and oceans.