Sentences with phrase «climate variability and change data»

The goal is to provide the Arctic research community and other users of Arctic climate information with access to climate variability and change data on the smaller spatial scales that are needed for improved fundamental understanding and for decision support applications and assessment research.

Not exact matches

Rescuing this data would undoubtedly help to improve understanding of historical climate variability and change.

Data suggests distinct differences between short - term climate variability and longer - term climate change.

Despite the difficulties of calibration that makes an absolute radiative imbalance measurement impossible — the anomalies data contains essential information on climate variability that can be used to understand and close out the global energy budget — changes in which are largely OHC.

Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureClimate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measureclimate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).

A series of sensitivity tests show that our detection results are robust to observational data coverage change, interpolation methods, influence of natural climate variability on observations, and different model sampling (see Supplementary Information).

His speech, titled «Data Integrity Issues, Natural Variability and Climate Change» can be viewed below.

[1] Reconstructing solar activity variability beyond the time scale of actual measurements provides invaluable data for modeling of past and future climate change.

Climate change and climate variability in Poland - a new study prepared by the Institute of Meteorology and Water Management presents the most actual data on Polish cClimate change and climate variability in Poland - a new study prepared by the Institute of Meteorology and Water Management presents the most actual data on Polish cclimate variability in Poland - a new study prepared by the Institute of Meteorology and Water Management presents the most actual data on Polish climateclimate.

Large and Yeager (2012) examined global ocean average net heat flux variability using the CORE data set over 1984 — 2006 and concluded that natural variability, rather than long - term climate change, dominates heat flux changes over this relatively short, recent period.

«On forced temperature changes, internal variability, and the AMO» «Tracking the Atlantic Multidecadal Oscillation through the last 8,000 years» «The Atlantic Multidecadal Oscillation as a dominant factor of oceanic influence on climate» «The role of Atlantic Multi-decadal Oscillation in the global mean temperature variability» «The North Atlantic Oscillation as a driver of rapid climate change in the Northern Hemisphere» «The Atlanto - Pacific multidecade oscillation and its imprint on the global temperature record» «Imprints of climate forcings in global gridded temperature data» «North Atlantic Multidecadal SST Oscillation: External forcing versus internal variability» «Forced and internal twentieth - century SST trends in the North Atlantic» «Interactive comment on «Imprints of climate forcings in global gridded temperature data» by J. Mikšovský et al.» «Atlantic and Pacific multidecadal oscillations and Northern Hemisphere temperatures»

Requires the Climate Service Program to: (1) analyze the effects of weather and climate on communities; (2) carry out observations, data collection, and monitoring of atmospheric and oceanic conditions; (3) provide information and technical support to governmental efforts to assess and respond to climate variability and change; (4) develop systems for the management and dissemination of data; (5) conduct research to improve forecasting and understanding of weather and climate variability and change and its effects on communities; and (6) develop tools to facilitate the use of climate information by local and regional stakehClimate Service Program to: (1) analyze the effects of weather and climate on communities; (2) carry out observations, data collection, and monitoring of atmospheric and oceanic conditions; (3) provide information and technical support to governmental efforts to assess and respond to climate variability and change; (4) develop systems for the management and dissemination of data; (5) conduct research to improve forecasting and understanding of weather and climate variability and change and its effects on communities; and (6) develop tools to facilitate the use of climate information by local and regional stakehclimate on communities; (2) carry out observations, data collection, and monitoring of atmospheric and oceanic conditions; (3) provide information and technical support to governmental efforts to assess and respond to climate variability and change; (4) develop systems for the management and dissemination of data; (5) conduct research to improve forecasting and understanding of weather and climate variability and change and its effects on communities; and (6) develop tools to facilitate the use of climate information by local and regional stakehclimate variability and change; (4) develop systems for the management and dissemination of data; (5) conduct research to improve forecasting and understanding of weather and climate variability and change and its effects on communities; and (6) develop tools to facilitate the use of climate information by local and regional stakehclimate variability and change and its effects on communities; and (6) develop tools to facilitate the use of climate information by local and regional stakehclimate information by local and regional stakeholders.

(A) coordinate programs at the National Oceanic and Atmospheric Administration to ensure the timely production and distribution of data and information on global, national, regional, and local climate variability and change over all time scales relevant for planning and response, including intraseasonal, interannual, decadal, and multidecadal time periods;

Maintaining these measurements in an operational environment provides the best opportunity for maintaining the long - term, consistent, and continuous data records needed to understand, monitor, and predict climate variability and change.

«Here we present an analysis based on sea - level data from the altimetry record of the past ~ 20 years that separates interannual natural variability in sea level from the longer - term change probably related to anthropogenic global warming... Our results confirm the need for quantifying and further removing from the climate records the short - term natural climate variability if one wants to extract the global warming signal.»

In fact, they state that the data «clearly show» that «strong natural variability has been characteristic of the Arctic at all time scales considered,» and they reiterate that the data suggest «that the human influence on rate and size of climate change thus far does not stand out strongly from other causes of climate change.»»

Actually Fielding's use of that graph is quite informative of how denialist arguments are framed — the selected bit of a selected graph (and don't mention the fastest warming region on the planet being left out of that data set), or the complete passing over of short term variability vs longer term trends, or the other measures and indicators of climate change from ocean heat content and sea levels to changes in ice sheets and minimum sea ice levels, or the passing over of issues like lag time between emissions and effects on temperatures... etc..

This argument — «The limit on a late 20th century surface warming contribution from internal variability can be calculated from OHC data, total temperature change, and the climate feedback parameter.

A continued mode of corrections using approaches where statistical uncertainties are not quantified is not a scientifically sound methodology and should be avoided, considering the importance of such surface station data to a broad variety of climate applications as well as climate variability and change studies.

At Macquarie University, Professor Salby uses satellite data and supercomputing to explore issues surrounding changes of global climate and climate variability over Australia.

DelSole et al. (28) also found 2.5 cycles by extracting the spatial pattern in the Intergovernmental Panel on Climate Change, Fourth Assessment Report (IPCC AR4)(29) model control runs that best characterizes internal variability and by projecting the observed global data onto this pattern.

These range from simple averaging of regional data and scaling of the resulting series so that its mean and standard deviation match those of the observed record over some period of overlap (Jones et al., 1998; Crowley and Lowery, 2000), to complex climate field reconstruction, where large - scale modes of spatial climate variability are linked to patterns of variability in the proxy network via a multivariate transfer function that explicitly provides estimates of the spatio - temporal changes in past temperatures, and from which large - scale average temperature changes are derived by averaging the climate estimates across the required region (Mann et al., 1998; Rutherford et al., 2003, 2005).

NCEI provides the paleoclimatology data and information scientists need to understand natural climate variability and future climate change.

Rescuing this data would undoubtedly help to improve understanding of historical climate variability and change.

The space - time structure of natural climate variability needed to determine the optimal fingerprint pattern and the resultant signal - to - noise ratio of the detection variable is estimated from several multi-century control simulations with different CGCMs and from instrumental data over the last 136 y. Applying the combined greenhouse gas - plus - aerosol fingerprint in the same way as the greenhouse gas only fingerprint in a previous work, the recent 30 - y trends (1966 — 1995) of annual mean near surface temperature are again found to represent a significant climate change at the 97.5 % confidence level.